Information Technology Jobs in Oakland, CA

Border Patrol Agent (BPA) – in the Federal Security and Public Safety Sector Experienced (GL-9 GS-11)

SAME MISSION, NEW DRIVE!

You love protecting your community and doing your part to keep our nation safe. But maybe you’re looking for a change of scenery?

USBP is hiring immediately for full-time, career positions, where your prior law enforcement officer (LEO) experience may qualify you for higher-graded Border Patrol Agent (BPA) opportunities. Continue making a difference with the nation's premier federal agency charged with securing our borders and protecting our country.

Whether you gained this experience as part of a military police unit or as a member of a state or local law enforcement organization, you have an opportunity to work with highly trained professionals whose camaraderie, pride, and purpose are hallmarks of their daily mission.

Check out the duties and responsibilities section below, along with the qualifications section to see if you are eligible. Now is the time to make your move, along with excellent base pay, location pay, exceptional benefits, and job stability, USBP is offering up to $60,000 in additional incentives to newly appointed Agents (see details below).

DON’T FORGET TO CHECK OUT THE INCENTIVES – SEE SALARY SECTION BELOW

IMPORTANT NOTICE: Duty assignments available at the time of offer may include the Southwest Border, including prioritized locations.

U.S. Border Patrol determines duty assignments at the time of offer based on operational needs, which may or may not align with candidates’ first-choice preferences. Relocation may be required.

U.S. Customs and Border Protection (CBP) is hiring immediately for these full-time, career Law Enforcement Officer (LEO) opportunities.

Salary and Benefits:

Salary for newly appointed law enforcement Border Patrol Agents varies from:

Base Salary: GL-9/GS-11, $63,148 - $120,145 per year

Locality Pay: Varies by duty location.

Overtime Pay: Up to 25%

Duty location impacts pay rates; locality pay for federal law enforcement is higher in some locations than others. A fully trained BPA may be eligible for up to an additional 25% of base pay per the BPA Pay Reform Act of 2014. This is a career ladder position with a grade level progression from GL-9 to GS-11 to GS-12. You will be eligible for a promotion to the next higher grade level (without re-applying) once you successfully complete 52 weeks in the lower grade level.

All Border Patrol Agents may select from an array of federal employment benefits that include health and insurance plans, a generous annual and sick leave program, and participation in the Thrift Savings Plan, a retirement plan that is similar to traditional and ROTH 401(k) offerings.

*Recruitment Incentive* Newly appointed Border Patrol Agents (as defined in
5 CFR 575.102)
will be offered up to a $20,000 incentive. The first $10,000 will be paid upon successful completion of the Border Patrol Academy, with the remaining $10,000 awarded for accepting a prioritized location. Prioritized locations include Sierra Blanca, TX; Presidio, TX; Sanderson, TX; Comstock, TX; Lordsburg, NM; Freer, TX; Hebbronville, TX; Ajo, AZ.

*Retention Incentive* Newly appointed Border Patrol Agents may also qualify for up to $40,000 in additional incentives distributed over their first four years.

Duty Locations: You will be asked to select your preferred location for one of the following mission critical locations:

• 
  
• Big Bend Sector Stations - *Presidio, Van Horn, *Sanderson, Alpine, *Sierra Blanca, Marfa
  
• Buffalo Sector Stations - Wellesley Island
  
• Del Rio Sector Stations - Del Rio, Brackettville, *Comstock, Eagle Pass North, Eagle Pass South, Carrizo Springs, Uvalde
  
• El Paso Sector Stations - Alamogordo, Clint, Deming, El Paso, Fort Hancock, Las Cruces, *Lordsburg, Santa Teresa, Ysleta
  
• El Centro Sector Stations - El Centro, Indio, Calexico
  
• Grand Forks Sector Stations - Pembina
  
• Havre Sector Stations - Havre, Malta, Plentywood, Scobey, Sweetgrass
  
• Houlton Sector Stations - Calais, Fort Fairfield, Jackman, Rangeley, Van Buren
  
• Laredo Sector Stations - Laredo South, Cotulla, *Hebbronville, Laredo West, *Freer, Laredo North, Zapata
  
• Rio Grande Valley Sector Stations - Rio Grande City, Fort Brown, McAllen, Brownsville, Falfurrias, Weslaco, Kingsville, Harlingen
  
• San Diego Sector Stations - Boulevard, Brownfield, Campo, Chula Vista, Imperial Beach, Murrieta, San Clemente
  
• Spokane Sector Stations - Colville, Curlew, Metaline Falls, Oroville
  
• Swanton Sector Stations - Beecher Falls, Burke, Champlain, Newport, Richford
  
• Tucson Sector Stations - *Ajo, Tucson, Nogales, Douglas, Brian A Terry, Sonoita, Casa Grande, Three Points Substation, Willcox
  
• Yuma Sector Stations - Blythe, Yuma, Wellton
  

Duties and Responsibilities:

As a BPA, you will be part of our 60,000+ workforce that strives to protect the American people by safeguarding our borders, deterring illicit activity, and enhancing the nation’s economic prosperity. Being a BPA makes you a valuable member of the Federal Law Enforcement Officer (LEO) profession.

Typical assignments include:

• 
  
• Detecting and questioning people suspected of violating immigration and customs laws and inspecting documents and possessions to determine citizenship or violations.
  
• Preventing and apprehending aliens and smugglers of aliens at or near the borders by maintaining surveillance from covert positions to include using infrared scopes during night operations.
  
• Interpreting and following tracks, marks, and other physical evidence of illegal entry of persons or contraband.
  
• Performing farm checks, building checks, traffic checks, city patrols, and transportation checks.
  
• Patrolling the international boundary and coastal waterways using a variety of government assets such as vehicles, horses, vessels, watercraft, off-road vehicles, ATVs, snowmobiles, and motorcycles for the accomplishment of the USBP Mission.
  

Qualifications:

GL-9: You qualify for the GL-9 grade level if you possess one (1) year of specialized experience, equivalent to at least the next lower grade level, performing duties such as:

• 
  
• Performing physical searches of detained individuals, their vehicles, and their immediate surroundings for weapons, contraband, currency, and other evidence.
  
• Apprehending, physically restraining, or working with law enforcement officials to identify or apprehend violators of state, federal, or immigration laws.
  
• Proficient in the use of firearms, preparing investigative reports, serving court orders (e.g., warrants, subpoenas, etc.), and gathering evidence for criminal cases prosecuted through the court system.
  

If you have previous or current law enforcement or military law enforcement experience, you may qualify at the GS-11 grade level.

GS-11: You qualify for the GS-11 grade level if you possess one year of specialized experience equivalent to at least the next lower grade level, with the authority granted by the state or government to enforce laws, make arrests, and investigate crimes, performing primary duties in an official law enforcement capacity such as:

• 
  
• Utilizing intelligence information to track illegal operations, criminal activity, threats to our nation, and/or contraband while serving as a state, federal, or military law enforcement official.
  
• Leading investigations of fraud, contraband, criminal activity, threats to our nation, and/or illegal operations to determine sources and patterns while serving as a state, federal, or military law enforcement official.
  
• Apprehending violators of state, federal, or immigration laws by utilizing various forms of complex technology that include surveillance, detection, situation awareness systems, and/or communications equipment.
  

The above experience will be applied in connection with the following: Make arrests and exercise sound judgment in the use of firearms; deal effectively with people in a courteous manner in connection with law enforcement matters; analyze information rapidly and make prompt decisions; or develop and maintain contact with a network of informants.

There are no education substitutions for the GL-9 or GS-11 grade-level Border Patrol Agent opportunities.

Other Requirements:

Citizenship: You must be a U.S. Citizen to apply for this position.

Residency: You must have had primary U.S. residency (including protectorates as declared under international law) for at least three of the last five years.

Age Restriction: In accordance with Public Law 100-238, this position is covered under law enforcement retirement provisions. Candidates must be referred for selection to the Border Patrol Agent position before reaching their 40th birthday in accordance with Department of Homeland Security Directive 251-03. The age restriction may not apply if you are currently serving or have previously served in a federal civilian law enforcement (non-military) position covered by Title 5 U.S.C. 8336(c) or Title 5 U.S.C. 8412(d).

Veterans’ Preference: You may also be eligible for an excepted service Veterans’ Recruitment Appointment (VRA). The age restriction does not apply if you are Veterans' Preference eligible.

Formal Training: After you are hired, you will be detailed to the U.S. Border Patrol Academy in Artesia, New Mexico, for approximately six (6) months of intensive instruction in immigration and nationality laws, law enforcement, and USBP-specific operations, driver training, physical techniques, firearms, and other courses. Border Patrol work requires the ability to speak and read Spanish, as well as English. Border Patrol Agents will be provided training to become proficient in the Spanish language at the Academy.

How to Apply:

Click the Apply button on this site. You will be linked to the CBP Talent Network registration page. For Position of Interest, select Border Patrol Agent, and then complete the pre-screening questions.

You’ll then receive a link(s) to the BPA Job Opening Announcements (JOAs) on USAJOBS, the federal government’s official employment site, to complete your application. Be certain to review ALL details of the job opportunity announcement and follow all instructions in the application process, including items (resume, transcripts, etc.) to submit. You will be evaluated based on your resume, supporting documents, and the BPA Entrance Exam.

If you have questions about the application process, contact a recruiter through the U.S. Border Patrol page: /s/usbp.

NOTE: As a subscriber to the CBP Talent Network, you’ll receive monthly emails with information about webinars, career expos, and future opportunities with CBP.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We're looking for a Senior Backend Engineer to help design, build, and scale tvScientific's contract and billing systems that support direct advertisers, internal teams, and Finance. This role focuses on building backend services that can support a wide range of contract structures and billing models while maintaining strong guarantees around correctness, auditability, and operational reliability.

You'll work on systems that must operate accurately across different commercial relationships and external partners, ensuring our contract logic remains consistent, flexible, and maintainable as the business scales.

This is a high-impact backend role at the intersection of revenue, finance, and customer operations, where clear domain modeling, data integrity, and sound engineering judgment matter more than any specific implementation approach.

What you'll do:

• 
  
• Design and implement backend systems for contract lifecycle management, including creation, versioning, approvals, amendments, and renewals
  
• Build and evolve contract management capabilities (e.g., terms, payouts, attribution rules, eligibility, and partner-specific logic) for our CPA Contract/Billing model
  
• Support the expansion of CPM billing model contracts, including rate management, impression-based calculations, and integrations with billing and finance systems
  
• Develop APIs and services that serve customers, internal operations teams, and finance stakeholders
  
• Partner closely with Product, Finance, and Data teams to translate business requirements into robust technical solutions
  
• Ensure systems are auditable, accurate, and compliant, with strong data integrity guarantees
  
• Improve system observability, reliability, and performance as contract volume and complexity scale
  
• Own backend services and data models related to contracts and billing
  
• Lead technical design discussions and make pragmatic architectural decisions
  
• Write clean, well-tested, and maintainable code with a strong focus on correctness
  
• Drive improvements in data consistency, validation, and error handling across contract workflows
  
• Review code and mentor other engineers, setting a high bar for backend quality
  
• Collaborate cross-functionally to support new deal structures and evolving business models
  

What we're looking for:

• 
  
• Experience with billing/contract mechanisms (specifically affiliate platforms)
  
• Bachelor's degree in computer science, a related field or equivalent experience
  
• Experience building large-scale full-stack products.
  
• Deep understanding of web development and best practices in React/Redux
  
• Strong experience with programming languages Javascript and Python/Java
  
• Strong software engineering principles and practices
  
• Strong collaboration and communication skills
  
• Nice-to-Haves:
  
  • 
    
  • Experience working closely with finance or accounting teams
    
  • Background in building audit-friendly or compliance-sensitive systems
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Sr. Engineering Manager, AI/ML Serving Platform

The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon).

Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include:

• 
  
• Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second.
  
• Production GenAI & LLM model inference stack for emerging use cases.
  
• Model routing, deployment, monitoring. Kubernetes-based provisioning.
  
• Feature fetching, caching, and logging
  

What you'll do

• 
  
• Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity.
  
• Set technical direction for the team based on company and org priorities
  
• Coach and develop talent on the team.
  

What we're looking for:

• 
  
• Experience managing platform engineering teams with many cross-organizational customers
  
• Experience leading the development of large-scale distributed serving systems
  
• Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale
  
• Bachelor's degree in Computer Science, a related field or equivalent experience.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-AH2

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Open date: March 4, 2026

Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Thursday, Mar 4, 2027 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach on-campus courses in the Master of Information Management and Systems. We seek exceptional instructors with professional and/or academic expertise who can teach courses for I School doctoral and master's level students and other UC Berkeley graduate students in related fields, as well as undergraduate courses. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending on the needs of the School.

Applicants will be selected from this pool for the academic year (including summer sessions), when there is curricular need. Positions typically start at the beginning of the semester, and appointments may be renewable based on need, funding, and performance. This is a primarily in-person role that typically requires physical presence on the UC Berkeley campus, although alternative modalities may be authorized for instruction when conditions require.

Please Note:

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in cybersecurity.

If you are an enthusiastic educator or practitioner passionate about shaping the next generation of information leaders, we encourage you to join our exceptional instructional team.

Designing and Delivering Engaging Classes: Plan and lead dynamic in-person sessions emphasizing active learning. Facilitate meaningful discussions, group activities, and hands-on exercises that deepen students' understanding and application of key concepts.

Creating a Cohesive Course Experience: Develop a comprehensive syllabus outlining learning objectives, assessments, assignments, and expectations. Ensure all course elements, including lectures, materials, and activities, align with program goals and foster a cohesive student learning experience.

Facilitating Student-Centered Learning: Provide personalized support through office hours, one-on-one meetings, and guidance throughout the semester to address individual student needs and ensure academic success.

Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.

Providing Constructive Feedback: Deliver timely, thoughtful, and actionable feedback on student assignments, projects, and assessments to promote continuous improvement and mastery of course competencies.

Managing Course Operations: Organize and communicate key course components, such as schedules, assignments, grading policies, and classroom logistics, to ensure a smooth learning experience for all students.

Collaborating with Instructional Teams: Participate actively in team meetings to share teaching strategies, address challenges, and ensure alignment on instructional practices. Attend faculty meetings to stay connected with program initiatives and goals.

Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.

Please Note:

The use of a lecturer pool does not guarantee that an open position exists. See the review date in AP Recruit to determine whether applications are currently being reviewed. If no future review date is specified, your application may not be considered at this time.

UC Berkeley has several policies and programs to support all employees as they balance work and family.

Program: programs/mims

Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources

Course Descriptions: courses/info

A bachelor's degree (or equivalent international degree).

Minimum of 4 years professional experience in the relevant field.

Minimum of 2 years experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.

An advanced degree in a field such as Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, Human-Computer Interaction, or Design.

10 + years of professional experience in Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, Human-Computer Interaction, or Design.

Multiple years of demonstrated excellence in teaching college-level courses.

Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.

Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.

Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.

Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.

Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.

Professional and teaching experience in at least one of the following core areas (please see course descriptions online):

• 
  
• Algorithmic Fairness and Bias Mitigation
  
• Blockchain and Decentralized Systems
  
• Cloud Computing and Scalability
  
• Cybersecurity and Information Assurance
  
• Data Analysis and Visualization
  
• Data Engineering and Analysis
  
• Digital Ethics and Societal Impact
  
• Digital Transformation in Organizations
  
• Ethical Technology and Responsible AI
  
• Generative AI and Its Applications
  
• Human-AI Collaboration
  
• Human-Computer Interaction (HCI)
  
• Information Policy
  
• Machine Learning
  
• Natural Language Processing (NLP)
  
• Privacy-Preserving Technologies
  
• Product Management
  
• Smart Cities and Urban Informatics
  
• Social and Technical Innovation in Entrepreneurship
  
• User-Centered Design
  
• Other Areas of Information Science and Systems
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This may include, for example, fostering student success, connecting theory to practice, contributions to advancing an inclusive learning environment for all students, facilitating student-centered learning, or practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.

  
  
  

  The statement should highlight areas of expertise, and any experience with online or technology-enhanced teaching.

  
  
  

  Please indicate which class(es) you believe you are qualified to teach.

  
  

• Teaching Evaluations, if available (Optional)

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest's Security team is seeking an experienced Security Software Engineer to help keep our 619 million monthly active users safe from real-world threats. You will build tooling, product enhancements, and work with teams to improve our overall security posture and enhance our secure development lifecycle. We are looking for a candidate with a passion for security and innovation, who will research and develop new solutions to secure our products.

What you'll do:

• 
  
• Design and build out our rules, processes, and platform for our secure development lifecycle.
  
• Deliver and review code that is well-documented, tested, and operable.
  
• Work cross function to architect scalable and secure solutions to a variety of Pinterest's problems.
  
• Conduct regular security assessments including design reviews.
  
• Help rework our existing controls to address increased productivity due to AI and new AI threats.
  

What we're looking for:

• 
  
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  
• 5+ years of experience in product security, application security, or security related software engineering role.
  
• Enthusiasm for the constant fight to ensure security and privacy.
  
• Proficiency in a dynamic programming language such as Python.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-JT1

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Open date: February 13, 2026

Most recent review date: Saturday, Feb 28, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Jun 30, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Research Assistant will assist Professor Jesse Rothstein's academic and policy research. Rothstein is a labor economist with joint appointments in the Goldman School of Public Policy and the Department of Economics. He serves as faculty director of the Center for Studies in Higher Education and the California Policy Lab.

The Research Assistant will be involved in projects on a range of topics in labor economics, higher education, and public policy, potentially including work on intergenerational mobility, the social safety net, educational pathways and outcomes, determinants of wages and employment, and labor market and education policy.

Duties will include:

• 
  
• Cleans and prepares data sets, primarily from government sources, for analysis, using Stata and R.
  
• Analyzes research data; summarizes information; implements statistical approaches for labor economics and higher education research projects, under direct supervision.
  
• Prepares graphs, tables, and other displays of the results of research and analysis.
  
• Assists with preparation of reports and analyses, including gathering references, copyediting, and confirming internal consistency.
  
• Reviews academic and applied research, and prepares research collections for PI review.
  
• Assists with design, documentation, and implementation of quantitative empirical research studies.
  
• Assists in coordination of research projects, including management of data access agreements, publication agreements, and other administrative aspects of the projects.
  
• Assists in proposal writing.
  

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

Department:

Unit:

Bachelor's degree (or equivalent international degree) or enrolled in a Bachelor's degree (or equivalent international degree) program

Bachelor's degree (or equivalent international degree).

• 
  
• U.S. Census Special Sworn Status to access restricted-use data (or reasonably be able to obtain within 4 months of start date).
  
• Demonstrated knowledge of research function. Ability to perform research analysis duties.
  
• Demonstrated statistical analysis, systems programming, and database design skills to perform research analysis duties. Knowledge of Stata, or ability to learn Stata, strongly preferred.
  
• Ability to effectively manage time and see assigned parts of projects through to completion deadline.
  
• Skills to communicate complex information in a clear and concise manner both verbally and written.
  
• Strong interpersonal and communication skills, including strong writing skills.
  
• Demonstrated interest in labor economics and higher education research.
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Copy of Undergraduate Degree Transcript

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Understanding and improving how we optimize ads through the ads delivery funnel to Pinners is fundamental to Pinterest's long-term success. We're looking for a data scientist to join our team in pushing the boundaries in ads optimization. You will be a key member of an organization of talented data scientists innovating on ads delivery.

What you'll do:

• 
  
• Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform's future.
  
• Experimentation: Improve our experimentation capabilities and tools for assessing our ad delivery system, advise on best practices, identify flaws, and build tools and frameworks for experiment analysis.
  
• Leadership: Lead and mentor peers, improving team output through continuous, candid feedback that recognizes strengths and identifies areas for growth. Be a technical leader for junior data scientists.
  
• Communication: Clearly and concisely communicate complex analytical findings and insights to stakeholders with varying technical backgrounds.
  
• Continuous Learning: Stay informed on the latest developments in data science, causal inference, and advertising technology to drive innovation.
  

What we're looking for:

• 
  
• 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
  
• Direct involvement in the evaluation, refinement, and deployment of ads optimization models for ads delivery systems.
  
• Proficiency in leveraging large datasets for performance analysis and gap identification.
  
• Proven ability to apply scientific methods to solve real-world problems on web-scale data
  
• Expertise in SQL and Python
  
• Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
  
• Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
  
• Experience leading key technical projects and substantially influencing the scope and output of others
  
• Experience in digital ad delivery stacks preferred
  

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices: San Francisco, CA or Seattle, WA.

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-NM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We are looking for a Data Scientist to join our marketing org. As a Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest's revenue growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand revenue growth and behavior, and define metrics to grow and sustain our advertiser base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Analytics and others.

The role is within the Marketing team and would be supporting business marketing efforts focused on driving revenue growth for Pinterest.

What you'll do:

• 
  
• Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI. Marketing channels could be different paid media, organic social, email, in person events, webinars, elearning platform etc.
  
• Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models-to optimize marketing strategies and enhance audience targeting.
  
• Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels.
  
• Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks.
  
• Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives
  
• Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.
  
• Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models.
  

What we're looking for:

• 
  
• 3+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
  
• Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering.
  
• Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
  
• Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems.
  
• Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries.
  
• Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
  
• Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams. Explains work and thought processes clearly and concisely.
  
• Experience leading key technical projects.
  
• Strong Experimentation background.
  
• Statistical rigor. Experience with causal inference projects.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-NM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Open date: May 1, 2025

Most recent review date: Thursday, May 15, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Thursday, Apr 30, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Lecturer - Operations and Information Technology Management - Haas School of Business

The Haas School of Business at the University of California, Berkeley is generating an applicant pool of qualified temporary instructors to teach courses in Operations and Information Technology Management as a lecturer should an opening arise. The pool will remain in place for one year.

General Duties:

In addition to teaching responsibilities, general duties include:

* Holding office hours

* Assigning grades

* Advising students

* Preparing course materials.

Haas School of Business is committed to creating an inclusive environment, one that is supportive of all individuals, regardless of background. We are committed to building an excellent and diverse faculty, staff, and student body, and we welcome applicants whose experiences have prepared them to contribute to this commitment.

UC lecturers are academic appointees and are represented by an exclusive bargaining agent, University Council - American Federation of Teachers (UC-AFT). This position is represented by the bargaining unit.

For those who are not US citizens or permanent residents, a legal permit that allows work in the United States (such as a US visa that allows employment) is required by the start date of the position. The department is unable to provide a visa/work permit.

Under Federal Law, the University of California may employ only individuals who are legally able to work in the United States as established by providing documents specified in the Immigration Reform and Control Act of 1986.

The minimum qualification to be an applicant is a Bachelor Degree or equivalent international degree at time of application.

A minimum of four years in the professional practice in relevant field to the course being taught.

A minimum of 2 years' experience in the professional practice in the Operations and Information Technology Management field at a business, government or not-for-profit organization by start date. Higher education teaching experience and/or advanced degree by start date are preferred.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter (Optional)

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: August 7, 2025

Most recent review date: Tuesday, Mar 3, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Friday, Aug 7, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Berkeley Law is generating an applicant pool of qualified instructors should openings arise.

Berkeley Law is one of the premier law schools in the United States. Our programs are demanding, engaging, hands-on, and selective. As with all our faculty, we expect our lecturers to demonstrate a strong commitment to academic rigor and intellectual diversity.

Berkeley Law strives to educate responsible, effective, and forward-thinking advocates who serve the public through legal practice, public policy, academic scholarship, and related fields. In doing so, the school addresses some of society's most pressing challenges by leveraging its strengths in teaching and research to improve law, policy, and public institutions. At the heart of Berkeley Law's public mission is a commitment to access, affordability, and empowering students from all backgrounds to pursue impactful careers across a wide range of professional paths.

The J.D. and LL.M. programs host a diverse and constantly evolving curriculum. Hundreds of courses are offered, including dozens in our top-ranked Law and Technology, Business Law, International Law, Environmental Law, and Social Justice programs.

This pool encompasses courses on intellectual property law, copyright, patent and patent litigation, trademark, trade secret, regulated digital industries, privacy, cybersecurity, computer programming, biotechnology and life sciences innovation law, computer law, videogame law, art and cultural property, entertainment law, computer crime law, wine and alcoholic beverages law, Artificial Intelligence and the law, law governing use of Name, Image & Likeness, and other major and emerging practice areas in law and technology.

Instructors for lecture courses are appointed in the Lecturer title; instructors for experiential center courses are appointed to the Field Work Supervisor title. The applicant selected will have important teaching responsibilities, including preparing course materials (such as the syllabus) and maintaining a course website, and will also be expected to hold office hours, assess and offer feedback on student work, assign grades, and advise students.

UC Lecturers and Field Work Supervisors are academic appointees in an organized bargaining unit and are exclusively represented by the American Federation of Teachers - Unit 18.

* Bachelor's degree, or equivalent international degree, is required at the time of application.

* J.D., Ph.D., M.B.A., LL.M. or Master's degree, or equivalent international degree, and a minimum of three years of professional experience in either legal practice, judicial clerkship, or law school teaching, in the United States, or

* Bachelor's degree and a minimum of six years professional experience in either legal practice, judicial clerkship, or law school teaching, in the United States.

* Availability to teach in-person during required law school class times.

* Experience teaching courses in a United States law school, with outstanding student valuations; and/or

* Five or more years of legal practice experience in the United States or another jurisdiction, in the area of law and technology.

Teaching evaluations and/or other materials or information may be requested of top candidates.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Teaching Statement - Please address the following questions related to your potential teaching at Berkeley Law. Please limit your response to 300 words.

  
  
  

  -- Please discuss your competencies and experiences relevant to successful instruction for law school courses, including your prior law teaching experiences, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy. We also welcome information about other aspects of your professional experience as it is specifically relevant to teaching at Berkeley Law.

  
  

• 2 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

• Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
• Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
• Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
• Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
• Better together:We check our egos at the door. We work together, so we win together.

We are seeking a Staff Network Engineer (Team Lead) to serve as the senior technical anchor and day-to-day leader for our Network Engineering function. This role blends deep technical expertise with operational leadership-driving architecture, reliability, compliance, and performance across a modern hybrid cloud environment spanning AWS, Azure, and enterprise on-prem infrastructure.

The ideal candidate is a highly skilled network engineer who thrives in complex environments, enjoys owning critical network services, and can provide technical leadership, prioritization, and mentorship to a small but capable team. This role is hands-on, fast-paced, and directly tied to our cloud migration, acquisition integrations, and overall platform modernization.

What You'll Do

Technical Leadership & Architecture

• Serve as the lead engineer responsible for designing, building, and maintaining secure, scalable enterprise network infrastructure across hybrid cloud and data center environments.
• Architect and support complex routing, switching, firewalling, VPN, and load-balancing solutions using Cisco, FortiGate, F5, Cloudflare, and Azure/AWS native controls.
• Lead the networking components of cloud migrations, landing zones, hybrid connectivity, and acquisition integrations.
• Establish engineering standards for network architecture, automation, segmentation, and operational excellence.

Operational Ownership & Reliability

• Lead troubleshooting and root cause analysis for high-severity incidents, ensuring durable fixes and proactive risk reduction.
• Develop and maintain monitoring, observability, and alerting using LogicMonitor and cloud-native tools.
• Build and maintain SOPs, runbooks, configuration standards, and knowledge-base materials to support operational consistency.

Security, Compliance & Audit Support

• Maintain secure configurations aligned with Zero Trust principles, segmentation strategies, and firewall best practices.
• Participate in SOC2, HIPAA, HITRUST, and HITECH audits by preparing and submitting required network-related artifacts.
• Ensure strict adherence to change management-including reviewing, approving, and validating production changes.

Team Leadership & Collaboration

• Provide day-to-day technical direction, workload prioritization, and mentorship to Network Engineers and cross-functional partners.
• Collaborate with Cloud, Security, Infrastructure, and Architecture teams to deliver scalable, highly available solutions.
• Evaluate new technologies, drive continuous improvement, and influence long-term network strategy.

Required Qualifications (Must-Haves)

Candidates must demonstrate strong hands-on expertise in the following areas:

Core Networking & Infrastructure

• BGP and advanced routing protocols, and Cisco Switches
• Cisco Firewalls and FortiGate Firewalls
• VPN technologies (IPSec, policy-based and route-based)
• F5 Load Balancers (LTM/ASM)
• Cloudflare (WAF, CDN, network services)

Cloud Networking

• Azure: ExpressRoute, VNETs, routing, firewalls, hybrid connectivity
• AWS: VPC networking, Transit Gateway, routing, hybrid connectivity

Automation & Tooling

• Scripting (Python, PowerShell, Groovy)
• Configuration automation (Terraform/IaC experience is strongly preferred)

Governance & Compliance

• Experience supporting SOC2, HIPAA, HITRUST, HITECH
• Ability to prepare and submit artifacts during audits
• Experience participating in structured change management processes

Nice to Have

(Not required, but beneficial)

• FortiWeb (WAF)
• Scrum Master, ITIL, or project management background
• Jira / Confluence
• Terraform / IaC tooling
• Experience in M&A network integration
• Cloud networking certifications (Azure/AWS)
• Cisco, Fortinet, or similar industry certifications

Who You Are

You are a senior-level engineer who:

• Owns outcomes, not just tickets
• Excels in complex hybrid environments
• Balances hands-on engineering with day-to-day team leadership
• Is comfortable making architectural decisions with business impact
• Communicates clearly across engineering and non-technical teams

Operates with discipline, accountability, and integrity

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At PG Forsta we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $110,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

Company Description

Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

• Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.

• Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.

• Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.

• Dare to innovate:We challenge the status quo with creativity and innovation as our true north.

• Better together:We check our egos at the door. We work together, so we win together.

We are seeking an experienced Staff Data Engineer to join our Unified Data Platform team. The ideal candidate will design, develop, and maintain enterprise-scale data infrastructure leveraging Azure and Databricks technologies. This role involves building robust data pipelines, optimizing data workflows, and ensuring data quality and governance across the platform. You will collaborate closely with analytics, data science, and business teams to enable data-driven decision-making.

Duties & Responsibilities:

• Design, build, and optimizedata pipelinesand workflows inAzureandDatabricks, including Data Lake and SQL Database integrations.
• Implement scalableETL/ELT frameworksusingAzure Data Factory,Databricks, andSpark.
• Optimize data structures and queries for performance, reliability, and cost efficiency.
• Drivedata quality and governance initiatives, including metadata management and validation frameworks.
• Collaborate with cross-functional teams to define and implementdata modelsaligned with business and analytical requirements.
• Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability.
• Ensure adherence tosecurity, compliance, and data privacystandards.
• Mentor junior engineers and contribute to establishingengineering best practices.
• SupportCI/CD pipeline developmentfor data workflows using GitLab or Azure DevOps.
• Partner with data consumers to publish curated datasets into reporting tools such asPower BI.
• Stay current with advancements inAzure, Databricks, Delta Lake, and data architecture trends.

Technical Skills:

• Advanced proficiency inAzure 5+ years(Data Lake, ADF, SQL).
• Strong expertise inDatabricks (5+ years),Apache Spark (5+ years), andDelta Lake (5+ years).
• Proficient inSQL (10+ years)andPython (5+ years); familiarity withScalais a plus.
• Strong understanding ofdata modeling,data governance, andmetadata management.
• Knowledge ofsource control (Git),CI/CD, and modern DevOps practices.
• Familiarity withPower BIvisualization tool.

Minimum Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• 7+ yearsof experience in data engineering, with significant hands-on work incloud-based data platforms (Azure).
• Experience buildingreal-time data pipelinesand streaming frameworks.
• Strong analytical and problem-solving skills.
• Proven ability tolead projectsand mentor engineers.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, or a related field.
• Exposure tomachine learning integrationwithin data engineering pipelines.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $110,000 to $170,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We're looking for a Staff Data Scientist to lead the science behind how advertisers understand the impact of their investment on Pinterest through first and third party measurement products. You'll push the boundaries of ads measurement, advancing our approaches to causal inference and incrementality and partner closely with Product and Engineering, as well as represent Pinterest science externally with customers and partners.

What you'll do:

• 
  
• Own the development of measurement methodologies that help advertisers understand and optimize the value of their Pinterest campaigns across the full ads delivery funnel.
  
• Design, implement, and validate advanced causal inference methods for incrementality and lift measurement.
  
• Ensure scientific rigor in our measurement products by anticipating and mitigating risks such as bias, imbalance, and under-power.
  
• Influence Ads Product & Engineering to define the measurement roadmap and integrate science solutions into products and platforms.
  
• Collaborate with internal and external measurement partners (e.g., clean rooms, conversion APIs, MMM partners, MTA vendors) to design and evaluate joint solutions.
  
• Define and own key success metrics for 1P measurement products; build tools and frameworks that enable teams and advertisers to make better decisions.
  
• Provide technical leadership and mentorship to other data scientists and analysts, elevating measurement rigor and impact across the org.
  
• Clearly communicate complex concepts and tradeoffs to executives, cross-functional stakeholders, and external customers.
  

What we're looking for:

• 
  
• 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
  
• 5+ years in ads measurement with a strong focus on ad effectiveness and incrementality (e.g., conversion lift, brand lift, budget-split testing, matched-market tests, MMM, MTA).
  
• Proficiency in SQL and expertise in at least one scripting language (ideally Python or R).
  
• Strong business and product sense, with a track record of turning ambiguous questions into well-defined analyses or success metrics and driving decisions that balance scientific rigor and business value.
  
• Demonstrated leadership of key technical projects and meaningful influence on the work of other data scientists, particularly junior and senior peers.
  
• Excellent communication skills and experience leading initiatives across multiple product areas and partnering with leadership and cross-functional teams.
  
• Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices San Francisco, Palo Alto, or Seattle.
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-NM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

• 
  
• Broadcast Email, SMS & Push Support
  
• Support the preparation of monthly email, SMS, and push campaign briefs
  
• Assist with internal content review, QA, and briefing email developers to ensure campaign requirements are met
  
• Track campaign timelines and delivery status across channels
  
• Monitor performance and document campaign results and key learnings
  

• 
  
• Email Marketing Research & Best Practices
  
• Research CRM and email marketing industry trends and best practices
  
• Summarize insights and recommendations into a best-practice deck for the CRM team
  

• 
  
• CRM Engagement Reporting
  
• Update engagement metrics for weekly and monthly reports using Braze, GA4, and other relevant platforms
  
• Assist with analyzing trends and preparing performance summaries for weekly, monthly, and quarterly reporting
  

• 
  
• Must be available for the full internship period: June 1st - August 21st
  
• Must be a rising junior or senior at the time of the internship
  
• Currently pursuing a degree in Marketing, Business, Analytics, or a related field
  
• Strong interest in CRM, digital marketing, and lifecycle communications
  
• Detail-oriented with basic analytical skills and comfort working with data, spreadsheets, and performance metrics
  
• Familiarity with tools such as Braze or GA4 is a plus, but not required
  
• Strong written communication skills with a high attention to detail
  
• Well organized, proactive, and eager to learn in a fast-paced team environment
  

• 
  
• This summer, the Digital GTM & CRM e.l.f.tern will support the CRM team by assisting with broadcast campaign execution, performance tracking, and best-practice research. By helping manage briefs, QA workflows, reporting, and industry research, the intern will contribute to more efficient campaign execution and data-backed insights that support ongoing optimization across email, SMS, and push channels.
  

• Lead enterprise data architecture and platforms - design and scale a modern, cloud-based data stack leveraging Snowflake, Atlan, and complementary technologies (e.g., dbt, Fivetran, Airflow).
• Establish data observability and quality frameworks - ensure data lineage, reliability, and real-time insights across all systems.
• Drive AI-first data strategy - enable machine learning and generative AI capabilities through structured data tagging, metadata management, and model-ready pipelines.
• Partner with business and technology teams - turn data into action by collaborating across digital, marketing, finance, and operations to define use cases, KPIs, and outcomes.
• Governance and compliance - define robust policies for privacy, security, and ethical AI use; partner with Legal and Security teams to align with evolving regulations.
• Build and lead a high-performance global data team - recruit, mentor, and inspire data engineers, architects, and AI specialists.
• Accelerate insight to impact - democratize data access, foster a culture of experimentation, and drive adoption of self-service analytics and AI tools.

• 10+ years leading enterprise data engineering, architecture, or AI initiatives.
• Deep expertise in Snowflake and metadata management platforms such as Atlan, Collibra, or Alation.
• Proven experience implementing data observability, lineage, and monitoring tools (e.g., Monte Carlo, Databand, Soda).
• Strong understanding of data governance, privacy, and MLOps principles.
• Demonstrated success building and scaling AI-ready data platforms - enabling ML pipelines, model serving, or generative AI use cases.
• Experience leading cross-functional collaboration between engineering, analytics, and business teams.
• Strategic mindset balanced with a bias for execution and operational excellence.

• You think like a product owner for data - obsessed with usability, adoption, and measurable value.
• You lead with clarity and curiosity, connecting business ambition to technical architecture.
• You embrace experimentation and governance as dual engines of innovation.
• You're passionate about empowering others - turning "data consumers" into "data creators."

Job Title: Bay Area Sales Leader

Department: Sales / Alliances

Location: San Francisco Bay Area, CA (Hybrid)

Reports To: Chief of Alliance and Head of HiTech Business

Experience: 10–15 years

Position Summary

The Bay Area Sales Leader is responsible for regional revenue growth, new logo acquisition, and strategic account expansion across client full portfolio. This role blends enterprise hunting, consultative selling, and alliance-driven go‑to‑market execution. Success requires a leader who thrives in high‑growth environments, operates with autonomy, and brings a strong network within the Bay Area technology and cloud ecosystem.

Key Responsibilities

Revenue Growth & Territory Leadership

• Own regional revenue targets across Data & AI, Cybersecurity, Cloud Governance, Automation, and Digital Resilience.
• Build and manage a high-quality pipeline across enterprise and high-growth technology accounts.
• Lead the full sales lifecycle: prospecting, qualification, solution shaping, proposal development, negotiation, and closure.

Strategic Partnerships & Ecosystem Development

• Collaborate with the Chief of Alliance and HiTech Business to execute joint GTM strategies with hyperscalers (AWS, Azure, Google Cloud), ISVs, and technology partners.
• Strengthen clients presence in the Bay Area innovation ecosystem through partner engagement and co-selling motions.

Executive Relationship Building

• Build trusted relationships with CIOs, CTOs, CDOs, CISOs, and senior business leaders.
• Conduct executive briefings, workshops, and strategic discussions to shape client transformation roadmaps.

Market Engagement & Thought Leadership

• Represent client at regional AI, cloud, cybersecurity, and innovation events.
• Serve as a visible ambassador for client in the Bay Area technology community.

Cross-Functional Collaboration

• Work closely with solution architects, delivery leaders, and alliance managers to ensure successful execution and referenceable outcomes.
• Maintain strong pipeline discipline, forecasting accuracy, and executive-level communication.

Required Qualifications

• 10–15 years of experience in enterprise technology or services sales, with at least 8 years in direct sales or regional leadership.
• Proven track record of hunting and closing multimillion‑dollar enterprise deals.
• Experience selling in at least two of the following domains:
• Data & AI / analytics
• Cybersecurity
• Cloud governance, FinOps, or SecOps
• Intelligent automation
• Business continuity or digital resilience
• Strong understanding of enterprise transformation drivers including AI adoption, data modernization, automation, and security/compliance.
• Demonstrated ability to engage C‑suite executives and lead complex, consultative sales cycles.
• Bachelor’s or Master’s degree in Engineering, Business, Computer Science, or related field (MBA preferred).

Preferred Qualifications

• Established network within the Bay Area technology, AI, cloud, and innovation ecosystem.
• Experience building new territories or verticals in high-growth or entrepreneurial environments.
• Background working with hyperscalers (AWS, Azure, Google Cloud) and ISV partner ecosystems.
• Familiarity with venture-backed or innovation-driven enterprise environments.

Key Skills and Competencies

• Entrepreneurial mindset with strong ownership and accountability.
• Excellent communication, negotiation, and executive presentation skills.
• Strategic thinking with the ability to translate client needs into compelling solution roadmaps.
• Collaborative leadership style with the ability to influence cross-functional and partner teams.
• High energy, resilience, and adaptability in fast-paced environments.

Compensation and Benefits

• Competitive base salary with a high-performance variable incentive plan.
• Potential equity or long-term incentive opportunities tied to regional growth impact.
• Comprehensive benefits package including health coverage, retirement plans, and flexible PTO.
• Clear career progression pathways into broader regional or national sales leadership roles.

Channel Account Manager (Spanish Fluency)

Hybrid (3 days onsite, 2 days remote) – Brisbane, CA

To get the best candidate experience, please consider applying for a maximum of 3 applications within 12 months to ensure you are not duplicating efforts.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship responsibilities for employment visas at this time.

About Odoo

Odoo is an open-source enterprise resource planning (ERP) platform that helps companies manage and streamline their operations through a single, integrated system. Our modular suite of business applications—covering everything from accounting and inventory to CRM and project management—works together seamlessly to support efficiency and growth. Learn more about us here.

About the job:

Odoo is hiring Channel Account Managers to support and grow our network of implementation partners. In this role, you’ll work closely with partners to help them sell, implement, and support Odoo’s suite of business applications as part of their service offerings.

You’ll serve as a trusted advisor, helping partners improve their sales performance, manage client projects, and scale their Odoo practice. The first two to three months are fully on-site and focused on in-depth training to get you up to speed on the product, partner model, and go-to-market strategy. We’re looking for someone collaborative, business-savvy, and resourceful.

Responsibilities:

• Train partners in effective Odoo software sales and implementation strategies
• Coach partners to enhance sales processes and performance
• Foster continuous learning and skill development among partners
• Maintain strong relationships with sophisticated partners for ongoing success
• Identify opportunities for upselling, cross-selling, and expanding partnerships
• Collaborate with partners to customize implementation packages for end customers
• Negotiate software requirements and agreements to meet partner and customer needs
• Implement cross-functional processes for operational efficiency
• Streamline communication and collaboration among partners, internal teams, and customers
• Identify opportunities for process optimization and automation
• Collaborate with executives to understand customer needs and position Odoo software as a competitive advantage
• Contribute to customer-centric strategy development

Must-Have:

• Bachelor's Degree or an equivalent combination of education and experience
• Fluency in English and Spanish (professional or native/bilingual: reading, writing, and speaking)
• Passion for software products
• 1-2 years experience in sales
• Able to work in a rapidly evolving field
• Excellent communication skills

Nice to Have:

• Experience with ERP
• Experience in a SaaS company
• Available immediately
• Additional languages, Portuguese preferred

Compensation and Perks:

• Healthcare, Dental, Vision, Life Insurance, FSA, HSA Matching, 401K Matching, and Commuter Benefits
• PTO (Paid-time-off), paid sick days, and paid holidays
• Employee Assistance Program: 3 X 1-hour telehealth calls with certified mental health professionals
• $100 towards a work-from-home office setup
• Evolve in a nice working atmosphere with a passionate, growing team!
• Chef-prepared lunches - snacks, fruit, and coffee/drinks on tap!
• Company-sponsored events for groups of 6+ employees

The estimated annual compensation range for this role is $70,000-$90,000 OTE (on-target earnings), with a base salary range of $50,000-$70,000. Please note that actual salaries may vary within, above, or below this range based on factors such as education, training, experience, professional achievement, business needs, and location.

Ensuring a diverse and inclusive workplace where we learn from each other is core to Odoo's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal-opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.

One of our B2B SaaS portfolio companies building engagement tools for consumer brands is looking for a Enterprise Account Executive to join the business and drive Brand Partnerships across North America.

Responsibilities

• Source and close enterprise brand partnerships to secure funded offers and revenue-share agreements with nationally recognised brands
• Structure bespoke commercial deals that are not off-the-shelf packages – aligning offer mechanics, economics, and distribution to create mutual value
• Curate a premium loyalty ecosystem
• Deliver a steady flow of compelling offers – balancing new brand acquisition with repeat partners to meet weekly refresh requirements
• Build and maintain relationships with senior decision-makers across large organisations
• Work closely with the loyalty partner and internal stakeholders to influence which verticals, categories, and brands shape the program’s evolution
• Build the partnership playbook improving packaging, positioning, and negotiation standards over time

Qualifications

• Proven experience closing complex, multi-million dollar enterprise partnerships
• Strong track record structuring bespoke commercial agreements involving funded offers and revenue-share models
• Existing relationships within large national or global consumer brands
• Strong internal drive – you operate best when given a goal and the freedom to execute
• Experience in loyalty ecosystems, retail media, or marketplace environments
• Exposure to performance-driven commercial models
• Familiarity with CRM tools such as HubSpot

Please apply to this role directly on LinkedIn. This is the only way to be considered for this role. Please do not DM any of our stakeholders about this position.