Jobs in Piedmont, CA

Open date: March 9, 2026

Next review date: Tuesday, Mar 24, 2026 at 11:59pm (Pacific Time)

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

Final date: Friday, Apr 10, 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 Perlmutter Lab at UC Berkeley is seeking applications for an Assistant Researcher that specializes in the analysis of wide-field imaging and spectroscopic data from ground-based (e.g., Subaru/HSC) and space-based observatories (e.g., HST, JWST, and the recently announced Lazuli), as well as the design and planning of related observing programs.

The Assistant Researcher will be charged with performing independent research aimed at improving the precision and accuracy of observational cosmology experiments, namely those that rely on measuring luminosity distance with redshift, and particularly measurements of the expansion rate. The candidate will lead efforts to develop and/or adapt cutting-edge image analysis and statistical techniques for the purpose of improving the precision of such luminosity distance cosmology experiments, with a lean toward space-based datasets.

We expect the candidate to play a leadership role in this research, which is expected to require a small to mid-size research effort involving grad students and/or postdocs, and ideally multiple funding sources. They will present their research at inter/national conferences and publish work in peer-reviewed journals, either as lead author or in a mentorship role to others.

The Assistant Researcher's routes of inquiry would help advance key UC Berkeley cosmology initiatives, in part by bringing together a range of experts who can apply novel advanced statistical techniques not typically deployed in the field.

Lab Contract: resources/employment-policies-contracts/bargaining-units/academic-researchers/contract/

Ph.D. or equivalent International Degree.

• 
  
• At least three years of post-doctoral experience, with a significant amount having been performed independently.
  
• Expert in observational cosmology, in particular in the measurement of extragalactic distances using, e.g., Type Ia supernovae, Cepheid variable stars, and/or Tip of the Red Giant Branch.
  
• Expertise with processing and analyzing imaging data from space telescope facilities such as the Hubble and James Webb Space Telescopes.
  
• Expert in the identification and control of systematic errors in observational cosmology experiments.
  
• Strong publication record at well-respected journals.
  
• Experience mentoring students and junior colleagues.
  

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

  
  

• Statement of Research

  
  

• 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.

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 Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advertising actually measurable. Our platform helps advertisers buy ads across the CTV ecosystem: Hulu, Pluto TV, Disney+, HBO Max, and hundreds of FAST channels: and prove that those ads drove real business outcomes.

What you'll do:

• 
  
• Write production Python that powers real-time bidding, model training, and campaign optimization
  
• Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second
  
• Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend
  
• Design and implement new ML products across the ad-buying lifecycle: audience targeting, bid optimization, pacing, and attribution
  
• Use LLMs and generative AI to build internal tools that accelerate how we develop, test, and ship ML systems
  
• Serve as a technical lead and mentor on a distributed engineering team
  

What we're looking for:

• 
  
• Strong production Python skills: you write code that runs in prod, not just notebooks
  
• Solid statistics and ML fundamentals: you can reason about experiment design, model evaluation, and when simpler approaches beat complex ones
  
• Familiarity with modern AI tools and good judgment about where they add value
  
• Adtech or CTV experience: familiarity with RTB, programmatic advertising, supply-path optimization
  
• Clear written communication: we're a distributed team and writing is how decisions get made
  
• Comfort with ambiguity: you'll own problems end-to-end in a fast-moving environment, from scoping to shipping
  
• Nice-to-Haves:
  
  • 
    
  • Teaching experience
    
  • Causal inference: uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • Reinforcement learning or bandit algorithms in production
    
  • Experience building agentic AI systems or LLM-powered workflows
    
  • MLOps experience: model deployment, monitoring, and pipeline orchestration on AWS
    
  
  
  

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.

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.

In this role, you'll be working with a team of engineers on our CTV-focused ad-buying platform. You'll have a strong understanding of core engineering principles and production experience with software engineering techniques like automated testing, source control, deployment pipelines, infrastructure, and agile planning. You've previously built SPAs using JavaScript, React, or similar technologies and have hands-on experience maintaining and improving these code bases. We're looking for someone driven to build amazing products with the end user in mind.

What you'll do:

• 
  
• Build efficient, high-performing front-end features in a modern SPA web framework.
  
• Write efficient, clean, readable, fast, testable, documented code.
  
• Deliver new features to production.
  
• Collaborate with internal and external teams and other engineers to deliver a compelling easy-to-use product for the end-user / users.
  
• Work closely with other engineers in a small, informal, remote team environment.
  
• Ship code often in a fast-paced agile environment with continuous deployment.
  
• Mentor and support other frontend engineers.
  
• Work alongside and learn from talented engineers who have worked at leading advertising and technology companies.
  

What we're looking for:

• 
  
• Production experience with JavaScript.
  
• Experience working with React.
  
• Production experience with Single Page Applications.
  
• Strong problem-solving skills and ability to learn/adapt to new technologies.
  
• Strong fundamental experience with HTML, CSS and JavaScript.
  
• Passion for building reliable "done right the first time" web applications.
  
• Ability to work under pressure and iterate quickly against rapidly updating plans.
  
• Bachelor's degree in Computer Science, or related field
  
• Nice-to-Haves:
  
  • 
    
  • Adtech Experience.
    
  • Specific domain experience in CTV.
    
  • Experience with Material UI.
    
  • Experience with graphing libraries.
    
  • Understanding of AWS technologies.
    
  
  
  

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 our PinFlex page 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.

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: February 16, 2026

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: Monday, Feb 15, 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 Department of City and Regional Planning at UC Berkeley invites applications for a pool of qualified lecturers and lecturers in lieu of GSIs to teach courses in the undergraduate Urban Studies and Masters of City Planning programs. Screening of applicants is ongoing. The number of available positions varies from semester to semester (fall, spring, and summer), depending upon the needs of the department. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

General Duties: In addition to teaching responsibilities, general duties include holding office hours, assigning grades, advising students, preparing course materials (e.g., syllabus), and using Cal's electronic resources for course management.

Applicants must hold a Bachelor's degree, or equivalent international degree, at the time of application.

Advanced degree OR 3 years of teaching experience in a related field OR 3 years of relevant professional experience.

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

  
  

• Cover Letter

  
  

• Statement of Interest including Teaching Experience - 3-6 pages total. Please include in your statement your teaching approach and future teaching interests, and specific efforts and future plans to support the success of all students through curriculum, classroom environment, and pedagogy.

  
  

• Teaching Evaluations - Any available college or university-level teaching evaluations including student comments.
  
  (Optional)

  
  

• 3-5 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.

The Team:

This role is within the Engineering, Product, and Design (EPD) Compliance Technical Program Management team which delivers critical & strategic technical compliance outcomes by directing and scaling engineering effort across organizational and functional boundaries. The programs they lead have most or all of these characteristics:

• 
  
• Strategic importance to Pinterest
  
• Distributed ownership
  
• Complexity
  
• Critical technical area or platform
  

We are seeking a dedicated, centralized Senior Technical Program Manager to establish and own our AI Compliance program, with a primary focus on GenAI risk mitigation. This specialized, high-impact role will bridge technical innovation, business strategy, and global regulatory requirements, ensuring our GenAI initiatives are both cutting-edge and compliant.

What you'll do:

• 
  
• Strategy and Program Ownership: Establish, own, and continually iterate on the holistic AI Governance and Risk Management Framework for the company, integrating it across all relevant engineering and product teams.
  
• Regulatory Compliance Roadmapping: Partner closely with Legal to translate emerging global AI regulations into concrete engineering requirements, compliance plans, and a unified roadmap.
  
• Risk Mitigation Systems: Establish and improve risk management systems, including developing internal policies for responsible AI practices, defining AI safety principles, establishing metrics that ensure effective compliance, and improving Pinterest's ability to mitigate risks of AI development through internal platforms and infrastructure.
  
• Cross-Functional Partnership: Act as the central compliance TPM lead, facilitating and driving consensus across Legal, Security, Privacy, Data Engineering, and Product teams to mitigate distributed AI risks.
  
• Operational Excellence: Incorporate AI compliance program status into leadership risk management reporting and establish tracking and review processes for GenAI features and open-source (OSS) model usage.
  

What we're looking for:

• 
  
• Experience working with AI model and feature development.
  
• 8+ years of experience as a technical program manager supporting Compliance or Trust & Safety Programs, or related experience.
  
• Entrepreneurial spirit with strong leadership, who can develop and lead a new initiative from the ground up and thrive in ambiguity.
  
• Passion for execution and getting things done.
  
• Solid technical background and ability to quickly understand technical designs, challenges and risks. Experience breaking down complex problems and driving decision making.
  
• Strong analytical abilities, able to create & monitor metrics, proactively identify growth opportunities & incidents.
  
• Strong written, verbal communication skills and comfort in communicating nuanced, and often technical, concepts to internal stakeholders or external partners.
  
• Ability to influence teams & drive alignment among multiple stakeholders.
  
• Demonstrated experience in creating and driving efficient processes at scale.
  
• Bachelor's degree in a relevant field such as computer science, computer and information technology, or equivalent experience.
  

Relocation Statement:

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

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 time every 6-months and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-JD3

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're looking for an experienced and thoughtful Lead Ads Policy Manager to join our Content Product policy team. Our policy team keeps Pinterest a safe, positive and welcoming environment for our 450+ million global users by developing industry-leading content policies. You'll develop policies on generative AI, advise on new product risk, autonomously lead complex projects, and set the strategy for the AI policy function. You'll ensure our product policies are enforceable at scale and build a strong relationship with product teams. You'll seek out feedback from internal stakeholders and external experts and collaborate with our Product, Engineering, Legal, Public Policy, and Communications teams. This role will sometimes involve reviewing graphic and disturbing content and discussing difficult subjects.

What you'll do:

• 
  
• Collaborate with your Policy teammates, cross-functional partners, executives and outside experts to craft industry-leading generative AI policies to protect Pinners and keep Pinterest safe and inspiring.
  
• Partner with Trust & Safety, Product, and Engineering teams to embed AI safety best practices in product launches and scale AI policy enforcement globally.
  
• Anticipate opportunities and advise on risks of new generative AI policies to help keep Pinterest ahead of the next challenge
  
• Drive regulatory and compliance efforts for content policy matters
  
• Partner with the leadership team to set strategy for product policies, including how to prioritize among competing demands for our time and expertise, and mentor others
  
• Continuously evaluate and iterate on our policy approaches
  
• Evaluate high-profile escalations
  
• Facilitate and productively engage in complex policy discussions, including respectfully challenging team members and xfn partners, using contrarian techniques to strengthen policy analysis, and incorporating new and diverse viewpoints
  

What we're looking for:

• 
  
• Bachelor's degree in a relevant field such as public policy, research or equivalent experience.
  
• Substantial experience with AI policy, generative AI systems, trust and safety operations, or policy development for AI-driven products, including drafting guidance for a global audience and managing escalations.
  
• Strong understanding of global online safety trends, generative AI and LLMs ; can identify and mitigate policy risk areas
  
• Experience developing and scaling AI policy and enforcement at a global level.
  
• An autonomous leader with strong writing skills and great verbal communication
  
• A skilled relationship builder who maintains collaborative partnerships within your team, across the company, and with outside audiences. Demonstrated experience working with cross-functional teams including Operations, Product, Legal, Public Policy and Comms
  
• Excellent project management skills and ability to work on multiple projects
  
• Excellent judgment and critical thinking skills: you can assess numerous inputs, weigh tradeoffs, manage ambiguity, and make difficult decisions
  
• A thoughtful leader with a demonstrated experience leading complex projects and mentoring others
  

Relocation Statement:

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

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 a quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-ARMM78

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

We are the first CTV advertising platform purpose-built for performance marketers. For game developers and publishers, we bridge the gap between massive TV reach and granular User Acquisition (UA) metrics. Built by ad-tech veterans, our platform combines media buying, optimization, and MMP attribution to help gaming brands automate CTV campaigns, drive app installs, and maximize Return on Ad Spend (ROAS).

Join the tvScientific team as an Account Manager (Gaming), where you'll lead strategic client relationships for gaming and app clients, drive revenue growth, and ensure client success on our cutting-edge platform.

As an Account Manager on our team, you'll be responsible for managing a portfolio of key client accounts, developing and executing strategic account plans, and driving revenue growth through upsell, cross-sell, and retention initiatives. You'll leverage your expertise in performance marketing and CTV advertising to deliver exceptional value to our clients, exceed revenue targets, and contribute to the overall growth and success of our organization.

To excel in this role, you'll need expertise in launching, managing, and optimizing campaigns across diverse digital media platforms, especially CTV advertising. Your experience should focus on digital media and advertising, emphasizing performance marketing principles. Proficiency in using Measurement and Attribution Platforms (MMPs) and supporting tools, like Google Analytics and AppsFlyer, is also required.

What you'll do:

• 
  
• Lead a portfolio of mobile, cross-platform, esports, and real-money gaming clients.
  
• Launch and optimize programmatic CTV campaigns to hit strict CPA, CPI, and ROAS targets.
  
• Develop account plans, identify whitespace opportunities, and secure incremental budgets through data-driven QBRs.
  
• Act as the primary strategic consultant for game publishers, educating them on the power of CTV for player acquisition and retention.
  
• Dive deep into campaign performance and conversion funnels to extract actionable insights for your clients.
  
• Work closely with sales, product, and AdOps teams to ensure seamless campaign launches and custom integrations.
  
• Mentor junior account managers and help build the playbook for our growing gaming business line.
  

What we're looking for:

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• 3+ years in performance marketing or account management, with a strong focus on the gaming industry.
  
• Deep understanding of the game development lifecycle, user acquisition strategies, and player monetization models.
  
• Hands-on expertise with Mobile Measurement Partners (MMPs like AppsFlyer, Adjust, Branch) and biddable media platforms.
  
• Strong ability to analyze metrics (CAC, LTV, churn) to build compelling wrap decks and optimization strategies.
  
• Exceptional ability to build rapport with studio executives, navigate complex relationships, and confidently present campaign strategies.
  
• You May Also Have
  
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  • MBA or advanced degree in business or related field.
    
  • Experience working with enterprise-level clients or agencies, managing complex accounts and large budgets.
    
  • Certifications or training in digital advertising platforms, performance marketing, or related disciplines.
    
  
  
  

In-Office Requirement Statement:

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• 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:

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

#LI-REMOTE

#LI-LP1

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 and incentive compensation. 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:

Our Crew Members create a warm and friendly shopping experience in our stores. We answer questions, offer suggestions, and ensure our customers know they are welcomed and cared for. We entertain customers and make grocery shopping an exciting adventure.

Some responsibilities may include:

• Working on teams to accomplish goals
• Operating the cash register in a fun and efficient manner
• Bagging groceries with care
• Stocking shelves
• Creating signage to inform and delight customers
• Helping customers find their favorite products

You'll learn a lot. You're not stuck doing one task here. Each Crew Member contributes to creating a WOW customer experience by participating in all aspects of the job.

If you have experience in art including penmanship, working with chalk, and large signage, that's a plus.

If you have a passion for people and a fervor for food, we'd love to meet you. We can teach you the rest.

Stores have the greatest need for people that can work evenings and weekends.

Trader Joe's is an equal-opportunity employer and is committed to hiring a diverse Crew.

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