Sales Navigator Core Jobs in Berkeley, CA

Assistant Planner (Temporary)

Location: Emeryville, CA

Pay Rate: $22.00 – $27.00 per hour

Employment Type: Temporary, 6+ months

Ideal Start Date: 3/10/26

Work Schedule: Hybrid

• In‑office Monday through Thursday and Fridays remote

The Assistant Planner will support planning and operations teams by analyzing data, maintaining reports, and assisting with day‑to‑day planning activities. This role is ideal for a detail‑oriented professional with strong Excel skills and an interest in data analysis within a retail or planning environment.

Key Responsibilities

• Support planning activities through data analysis and reporting
• Maintain and update spreadsheets to track inventory, sales, or planning metrics
• Assist with forecasting, trend analysis, and performance reporting
• Partner with cross‑functional teams to support planning and operational needs
• Ensure data accuracy and consistency across reports and systems
• Support ad hoc analysis and planning projects as needed

Qualifications

• Strong proficiency in Microsoft Excel
• Experience with data analysis and reporting
• Strong attention to detail and organizational skills
• Ability to work in a fast‑paced, deadline‑driven environment
• Retail experience is a plus

Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please

navigate to Company will consider qualified applicants with arrest and conviction records in accordance with federal, state,

and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act

• Los Angeles City Fair Chance Ordinance

• Los Angeles County Fair Chance Ordinance for Employers

• San Francisco Fair Chance Ordinance

Open date: December 15, 2025

Most recent review date: Tuesday, Dec 30, 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: Tuesday, Dec 15, 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 Goldman School of Public Policy at the University of California, Berkeley, invites applications for a pool of qualified temporary instructors to work as lecturers, teaching courses in a School that confers professional graduate degrees (MPP, MPA, and MDP) and the PhD degree in Public Policy.

The courses may encompass both core curriculum (Economics, Quantitative Methods, Law & Public Policy, Introduction to Policy Analysis, Advanced Policy Analysis, and Politics & Public Policy); as well as its breadth curriculum (policy applications in specific disciplines and/or specializations, as noted below in Preferred Qualifications). Lecturers may be hired to teach at the undergraduate and/or graduate level, should an opening arise. Please note: The use of a lecturer pool does not guarantee that an open position exists.

The pool will remain open for one calendar year; those interested in remaining in the pool beyond that time must reapply. The number of positions varies from semester to semester, depending on the needs of the school.

Teaching Responsibilities: Primary duties include teaching undergraduate and/or graduate-level courses, typically one course per semester.

General Duties: In addition to teaching, duties may include creating a course syllabus for enrolled students; creating midterm examination materials; creating final examinations as necessary; creating problem sets (as appropriate); creating writing assignments; supervising academic student employees (readers, tutors, teaching assistants); holding office hours; assigning grades; preparing course materials; and advising and mentoring graduate or undergraduate students on independent research projects.

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

School: programs/course-information

The minimum basic qualifications required to be considered an applicant for this position are: A Bachelor's Degree or equivalent international degree is required at time of application.

Five years of experience in industry or a research institute, or advanced degree is required by the start of the appointment.

The Goldman School of Public Policy is interdisciplinary in its core and breadth curriculum, and the successful applicant should have a focus on the policy implications for their disciplinary subject matter.

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

  
  

• Cover Letter

  
  

• Statement of Teaching - Discuss prior teaching experience, teaching approach, and future teaching interests, including specific efforts and future plans to support the success of all students through curriculum, classroom environment, and pedagogy.

  
  

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.

The Content Quality Signals team at Pinterest is seeking a Sr Product Manager to define, execute, and champion the multi-year strategy for building advanced borderline content signals. You will lead product innovation at the intersection of machine learning and user experience-developing the core content quality signals that drive personalization, discovery, and business outcomes across Pinterest. Join the team influencing what users see on Pinterest, enabling millions to turn inspiration into action.

What you'll do:

• 
  
• Developing, aligning the organization around, and driving the strategy and roadmap for Borderline Content Signals, ensuring the roadmap is ambitious, principled, and closely aligned with company priorities.
  
• Lead cross-functional development of critical borderline content signals that power personalization, ranking and core user experiences.
  
• Build, launch, and scale signals that make Pinterest safer, relevant, engaging, and valuable for users and advertisers globally. Nurture a culture of transparency, data-driven decision-making, and continuous learning within the team.
  
• Build strong partnerships with engineering, data science, and multiple product groups to translate vision to metrics, OKRs, and product deliverables.
  
• Represent the Content Quality team in org-level forums, proactively communicating progress, strategy, and tradeoffs to senior leadership and partner teams.
  

What we're looking for:

• 
  
• Demonstrated success in product management or related experience at fast-growing companies.
  
• Previous successful experience partnering with machine learning engineering teams.
  
• Experience working with safety, integrity or content quality teams is a plus.
  
• Proven ability to lead in ambiguous environments, aligning across functions, teams, and orgs to deliver on time in a highly collaborative environment.
  
• Strong analytical skills to define product strategy and drive decision making, making appropriate trade-offs based on data analysis and qualitative feedback from Pinners.
  
• Exceptional communicator who builds deep alignment across engineering, product, and business partners-skilled in influencing at all levels and facilitating decision-making across organizations.
  
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience.
  

Relocation Statement:

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

• 
  
• 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.
  

#LI-REMOTE
#LI-REX

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.

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.

As a Senior Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.

What you'll do:

• 
  
• Implement robust data infrastructure in AWS, using Spark with Scala
  
• Evolve our core data pipelines to efficiently scale for our massive growth
  
• Store data in optimal engines and formats
  
• Collaborate with our cross-functional teams to design data solutions that meet business needs
  
• Built out fault-tolerant batch and streaming pipelines
  
• Leverage and optimize AWS resources while designing for scale
  
• Collaborate closely with our Data Science and Product teams
  
• How we'll define success:
  
  • 
    
  • Successful implementation of scalable and efficient data infrastructure
    
  • Timely delivery and optimization of data assets and APIs
    
  • High attention to detail in implementation of automated data quality checks
    
  • Effective collaboration with cross-functional teams
    
  
  
  

What we're looking for:

• 
  
• Production data engineering experience
  
• Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
  
• Familiarity with data lakes, cloud warehouses, and storage formats
  
• Strong proficiency in AWS services
  
• Expertise in SQL for data manipulation and extraction
  
• Excellent written and verbal communication skills
  
• Bachelor's degree in Computer Science or a related field
  
• Nice-to-Haves
  
  • 
    
  • Experience in adtech
    
  • Experience implementing data governance practices, including data quality, metadata management, and access controls
    
  • Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
    
  • Familiarity with data table formats like Apache Iceberg, Delta
    
  
  
  

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:

Open date: June 9, 2025

Most recent review date: Tuesday, Jun 24, 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: Tuesday, Jan 12, 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.

Data Science Undergraduate Studies (DSUS) at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach DSUS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.

About DSUS

Data Science Undergraduate Studies (DSUS) offers a range of academic, co-curricular, and enrichment programs-including the Data Science major and minor-with a wide-reaching impact both across UC Berkeley and beyond.

Designed in collaboration with faculty from across Berkeley, Data Science invests students with deep technical knowledge, expertise in how to apply that knowledge in a field of their choosing, and an understanding of the social and human contexts and ethical implications of how data are collected, analyzed, and used. This combination positions graduates to help inform and develop solutions to a range of pressing challenges, from adapting industry to a new world of data to amplifying learning in education to helping communities recover from disaster.

DSUS is part of the College of Computing, Data Science, and Society (CDSS), which strives to develop, implement, and share high-quality, ethics-oriented, and accessible curricula, educating a diverse student body in data science, computing, and statistics. Core to the college is an understanding of how computing and data science affect equality, equity, and opportunity-and the capacity to respond to social challenges.

DSUS is committed to hiring and developing staff who want to work in a high performing culture that reflects the outstanding work of our faculty and students. DSUS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Responsibilities

DSUS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses in several areas. We are particularly interested in instructors who can combine computational and inferential thinking in a way that reflects the new field of Data Science Education.

Core courses include:

Fundamentals of Data Science

Principle and Techniques of Data Science

Human Contexts and Ethics of Data

Data and Justice

Data, Inference, and Decisions

Honors Thesis Seminar

Connector Courses: Instructors may be hired to teach Connector Courses that connect Foundations of Data Science with other disciplines, such as neuroscience, legal studies, public health, demography, English or others. Connector courses allow students to apply theoretical concepts from data science to a particular area of interest. Course design and syllabus will leverage the sequence of computational and statistical techniques that students learn in the Foundations course.

Teaching a Data Science course may include holding office hours, assign grades, advise students, prepare course materials (e.g., syllabus), provide clear and prompt feedback on student work, and maintain the course website.

Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

Department: dsus

Division:

Must have an advanced degree or be enrolled in an advanced degree program at the time of application.

Advanced degree. Candidates must already be authorized to work in the United States.

A Ph.D. or equivalent international degree in computer science, statistics, information, applied mathematics, engineering, or the social sciences is preferred.

Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

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

  
  

• Cover Letter

  
  

• Statement of Teaching - Please discuss prior teaching experience, 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.

  
  

• 3-4 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.

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.

As aStaff Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats.This is anindividual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.

What you'll do:

• 
  
• Design and implement robust data infrastructure in AWS, using Spark with Scala
  
• Evolve our core data pipelines to efficiently scale for our massive growth
  
• Store data in optimal engines and formats, matching your designs to our performance needs and cost factors
  
• Collaborate with our cross-functional teams to design data solutions that meet business needs
  
• Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs
  
• Leverage and optimize AWS resources while designing for scale
  
• Collaborate closely with our Data Science and Product teams
  
• How we'll define success:
  
  • 
    
  • Successful design and implementation of scalable and efficient data infrastructure
    
  • Timely delivery and optimization of data assets and APIs
    
  • High attention to detail in implementation of automated data quality checks
    
  • Effective collaboration with cross-functional teams
    
  
  
  

What we're looking for:

• 
  
• Production data engineering experience
  
• Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
  
• Experience in delivering significant technical initiatives and building reliable, large scale services
  
• Experience in delivering APIs backed by relationship-heavy datasets
  
• Familiarity with data lakes, cloud warehouses, and storage formats
  
• Strong proficiency in AWS services
  
• Expertise in SQL for data manipulation and extraction
  
• Excellent written and verbal communication skills
  
• Bachelor's degree in Computer Science or a related field
  
• Nice-to-haves:
  
  • 
    
  • Experience in adtech
    
  • Experience implementing data governance practices, including data quality, metadata management, and access controls
    
  • Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
    
  • Familiarity with data table formats like Apache Iceberg, Delta
    
  • Previous experience building out a Data Engineering function
    
  • Proven experience working closely with Data Science teams on machine learning pipelines
    
  
  
  

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:

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
  

Open date: January 27, 2026

Next review date: Sunday, Mar 15, 2026 at 11:59pm (Pacific Time)

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

Final date: Sunday, Mar 15, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date.

The Assistant Dean for Academic Planning (ADAP) supports the Law School's pedagogical mission by helping to create and coordinate the curriculum for all Law students, including the J.D., LL.M., and J.S.D. programs, to provide them with the legal knowledge and skills necessary to become effective legal practitioners, scholars, and public policy advocates. The ADAP must have substantive expertise in legal education and the administrative and management skills to play a leading role in strategic planning for curriculum development, including course offerings, hiring and allocation of instructors, etc., as well as for the development of policies to improve efficiencies, ensure equity, and promote our educational mission. In addition, the ADAP will help to select and present professional and substantive programming on legal pedagogy. In sum, the core responsibilities of this position are critical to support the development and administration of the educational mission of the Law School.

Duties

The ADAP has four distinct areas of responsibility:

Curriculum planning

• 
  
• The ADAP works with the Associate Dean for Teaching to identify faculty who can fulfill core curricular needs and to identify courses to be taught by lecturers and visiting faculty.
  
• The ADAP is primarily responsible for our ABA-required legal ethics curriculum and works with the six lecturers who teach large sections of those courses to ensure that their courses meet the ABA requirements and address current legal ethics issues.
  
• The ADAP is primarily responsible for identifying courses and hiring instructors for our LL.M. curriculum, which serves approximately 265 students per year in our academic year and additional students in Executive Track programs (Remote + Summer and Two-Summer).
  
• The ADAP works particularly closely with the staff of the Office of the Registrar on almost every aspect of the course scheduling process to ensure that courses meet ABA and law school academic requirements, and have clear course descriptions and grading rubrics.
  

Lecturer hiring and review

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• The ADAP assists with the Lecturer Hiring and Review Committee, which hires all lecturers, and reviews continuing appointment and merit cases, recommending dispositions to the Dean.
  
• The ADAP meets bi-monthly with the HR Academic Analysts and the Associate Dean for Teaching to review issues with lecturer hiring and advancement, and is the primary point of contact with lecturers regarding these issues.
  The ADAP meets with newly-hired lecturers to assist with course design and syllabus preparation.
  
• The ADAP provides support to lecturers in their teaching and is available for individual consultation to discuss best practices for course development and pedagogy.
  
• The ADAP administers the course evaluation process and meets with lecturers and faculty to improve their teaching.
  

Programmatic supervision

• 
  
• The ADAP supervises all lecturers teaching J.D., LL.M., and J.S.D. courses.
  
• The ADAP oversees our J.D. Writing program and supervises the 12 full-time lecturers who teach the ABA-required Legal Research and Writing (LRAW) program in the Fall and Spring.
  
• The ADAP directly supervises the Director of LL.M. Legal Writing (AC1), who oversees approximately 19 part-time lecturers who teach Legal Research and Writing for LL.M.s during the Fall semester.
  
• The ADAP directly supervises the Director of Field Placements (a lecturer with continuing status), the Director of Pro Bono Programs (AC1), the Director of Competitions (AO3), and the Director of UCDC (AC1), as well as the staff that report to them.
  

Budget Management

• 
  
• The ADAP oversees seven separate budgets for different programs at the Law School, including the Experiential Education budget, the J.D. Legal Writing Instructor budget, the Competitions budget, and the Field Placement Program budget. Specifically, the ADAP has the following, budget-related responsibilities:
  
  
  • 
    
  • Management of the unit's budget, including compensation and non-compensation operating expenses;
    
  • Participation in the annual budget review process and setting of strategic goals for the unit in consultation with the Dean, Associate Dean, and others;
    
  • Reviewing periodic budget updates and making mid-year, budget-related adjustments as needed;
    
  • Working with direct reports to ensure they are on track to remain within approved budgets and provide guidance;
    
  • Using and interpreting budgetary information as needed to make programmatic and staffing decisions;
    
  • Evaluation of complex financial and budgetary information in order to evaluate program performance, needs, or proposed changes, and to respond to Law School and campus requests for information related to expenses and revenue for programs.
    
  
  
  

For more Information: academics/jd/

• 
  
• Candidates must hold a J.D. degree or equivalent international degree.
  

• 
  
• At least ten years of professional work experience in law practice or at a U.S. law school.
  
• At least 5 year of management and supervisory experience (which can take place within the 10 years of professional work experience in law practice or in a law school)
  
• At least three years of professional experience with budget management. (This experience can take place within the 10 years of professional work experience in law practice or in a law school.)
  

• 
  
• At least five years of experience supervising academic employees, including those with a J.D. or equivalent international degree
  
• At least five years of management experience in a U.S. Law school, with a preference for experience in a top-20 law school.
  
• Experience in a management position in the University of California system.
  
• Experience in law teaching in a U.S. law school.
  
• Familiarity with the needs and interests of international students (who are typical participants in the LL.M. program).
  
• Experience working in or managing in a collective bargaining environment.
  
• Exceptional oral and written communication skills needed to ensure clear policies and procedures among cross-departmental communication and collaboration.
  
• Experience in administrative operations creating ongoing operational efficiencies.
  
• Strong commitment to effective management practices, staff development and morale.
  

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

  
  

• Cover Letter

  
  

• Writing Sample - Appropriate styles would be a comment letter, white paper, or other writing sample of no more than 10 pages. The purpose of this sample is to illustrate the writer's capacity to write clearly, concisely and effectively.

  
  

• 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
  

Who We Are:

17A is a new type of management consulting firm. We come from places like McKinsey, Palantir, JP Morgan Philanthropies, and venture-backed Healthcare startups. We share a common goal: improving the quality of government and social services. 17A believes that trust in government is something to be continuously built and earned, through strong service delivery.

We have a dynamic core team, and partner with Consultants, known internally as Project-Based Team Members, to bring the best combination of expertise to what we do. Our team has varied skills from a range of industries and experiences, including management consulting, technology and analytics, and public service. If you've spent the early part of your career in consulting or a fast-paced analytical environment and you're ready to apply those skills to something with direct civic impact, 17A is for you.

The Opportunity:

17A is supporting a large Bay Area county agency on a technology and digital services transformation effort. This is a fully embedded, on-site role — not parachuting in. You'll work inside the agency's digital innovation team, sitting alongside Deputy-level leadership to help the county deliver on its mission to make government more human, more responsive, and more digital. This position is a contract role with the potential to convert to full-time after a few months.

This agency has taken a distinctive approach to transformation: rather than buying expensive new systems and hoping for the best, it's doing the hard, human-centered work of dismantling bureaucracy, redesigning how services are delivered, and building a digital culture from the inside. A core initiative — which brings departments through rapid, structured sprints to identify and address service delivery friction — will be a major focus of this role.

This is a chief-of-staff style position for a sharp, early-career operator ready to take on real ownership. You'll help senior leaders turn strategy into action — managing complex initiatives across departments, facilitating working sessions, and communicating progress clearly to executive and operational audiences.

What You'll Do

• Serve in a chief-of-staff capacity to Deputy-level leaders within the innovation team, helping translate priorities into structured plans and concrete next steps
• Support coordination and execution of digital transformation sprints, including logistics, stakeholder engagement, documentation, and follow-through on recommendations
• Facilitate working sessions with department staff and senior leaders to map current-state processes, identify friction points, and co-design improvements
• Lead and coordinate cross-functional workstreams, tracking progress, surfacing blockers, and keeping stakeholders aligned across a large, multi-department organization
• Prepare executive-level communications including briefings, memos, presentations, and decision documents for senior agency leadership
• Conduct rapid research and analysis to support emerging decisions and evolving priorities
• Help build the internal documentation, playbooks, and operational systems the innovation team needs to scale its impact countywide
• Operate as a collaborative, low-ego team member who is genuinely embedded in the agency's culture and mission

Who You Are

You're 1–2 years into your career and you're looking for a role where you can do meaningful work and see the results directly. You might be a current or former:

• Business Analyst or Associate at a management consulting firm
• Fellow or analyst at a public sector-focused organization (e.g., a government innovation lab, a civic tech organization, or a public agency)
• Analyst in a fast-paced, mission-driven environment where you built strong project management and communication muscles

The Skillset:

You'll thrive in this role if you:

• Are energized by the mission — you genuinely care about improving how government works and the people it serves
• Are comfortable operating with ambiguity and building structure where there isn't any yet
• Have strong project management instincts and can keep multiple workstreams moving simultaneously
• Can communicate clearly and credibly with both frontline staff and senior leaders
• Understand that real transformation requires engineering culture, not just deploying technology
• Are ready to be embedded — not just advisory — and want to see the direct impact of your work
• Are based in or willing to relocate to the Bay Area

Bonus if you have:

• Familiarity with local or county government operations
• Experience with digital services, human-centered design, or service delivery improvement
• Prior exposure to process redesign, organizational change, or operational improvement
• Interest in civic technology and the future of public service delivery

Location:

This position is based out of San Francisco, California and you must reside within the area. If you are interested in remote-only opportunities, please consider joining our Network for future roles.

Compensation:

Due to the nature of our business and the clients that we partner with, compensation for this position (and all of our opportunities) depends on the skillset, tenure, and experience that you possess. This specific position has a range of 90,000- 110,000 annually. Depending on the type of work you do with us, you may be eligible to receive medical benefits and other perks.

Accommodation Statement:

Improving public service delivery requires a team with diverse backgrounds and perspectives. We are an equal opportunity employer committed to diversity and inclusion. We prohibit discrimination and harassment of any kind based race, color, creed, religion, national origin, sex, gender identity, sexual orientation, disability, age, marital status, familial status, pregnancy or pregnancy-related conditions, domestic violence victim status, prior arrest or conviction record, military status, predisposing genetic characteristics, membership or activity in a local human rights commission, or status with regard to public assistance.

We encourage and welcome applicants who identify with groups traditionally underrepresented in government to apply.

Please contact , if you would like to request reasonable accommodation during the application or interview process.

Not interested in this specific opportunity but want to make an impact with the work you do? Join our Network for future consulting opportunities within the public service sector!

Local to Bay area

1 day onsite @ Oakland office.

Role must interface with both business and engineers; expected to work directly with engineering teams.

Focus is on the enterprise data platform and data engineering; not an analytics/visualization role.

Core technical expectations

Strong data ecosystem background: experience leading data products or data warehousing initiatives.

Solid understanding of schemas, databases, and ETL (Extract, Transform, Load) processes; no hands-on coding expected but must be able to engage deeply with engineers and “know what they are talking about.”

Primary data warehouse platform: Snowflake.

Broader big data background acceptable if not purely Snowflake (e.g., Databricks, BigQuery, Redshift).

Current ETL tool: Informatica; hands-on Informatica expertise is not required.

Analytics/visualization not in scope; Power BI knowledge is a nice-to-have, not mandatory.

Role and scope

Titles vary across industry: product owner (PO), project manager, scrum master, TPM; at PG&E, similar roles may be labeled “product managers.”

Not seeking a pure scrum master or a typical external-facing PO who only writes requirements.

Role must interface with both business and engineers; expected to work directly with engineering teams.

Focus is on the enterprise data platform and data engineering; not an analytics/visualization role.

Core technical expectations

Strong data ecosystem background: experience leading data products or data warehousing initiatives.

Solid understanding of schemas, databases, and ETL (Extract, Transform, Load) processes; no hands-on coding expected but must be able to engage deeply with engineers and “know what they are talking about.”

Primary data warehouse platform: Snowflake.

Broader big data background acceptable if not purely Snowflake (e.g., Databricks, BigQuery, Redshift).

Current ETL tool: Informatica; hands-on Informatica expertise is not required.

Analytics/visualization not in scope; Power BI knowledge is a nice-to-have, not mandatory.