As a principal engineer on the Online Systems team, you’ll join a team that powers Pinterest’s most business-critical online systems at massive scale, driving the reliability, efficiency, and evolution behind every core Pinner and Advertiser experience. You'll lead major efforts like multi-region deployment and Kubernetes migration, set the standard for operational excellence, and define the long-term vision for our online serving infrastructure, supporting machine learning and product innovation across the company. This is an opportunity for high-impact technical leadership, broad visibility, and cross-functional influence at the heart of Pinterest’s platform.

What you’ll do: 

• Improve reliability, scalability and infra efficiency for Pinterest’s critical online systems across storage and caching, online service and realtime analytics systems to support continued business growth.
• Lead cross-functional strategic initiatives to modernize Pinterest’s online serving stack through multi-region deployment, Kubernetes migration, and the adoption of cutting-edge technologies and industry best practices.
• Quality champion for online systems and the broad engineering organization, holding a high bar on execution quality and operational excellence.
• Drive the online systems vision and strategy for the next 3 years and beyond, and translate that strategy into cross-functional roadmaps with measurable outcomes.
• Foster a diverse and inclusive engineering culture that makes all feel welcome, and invest in mentorship, critical thinking, and candid feedback to strengthen individual and organizational growth.
  
  

What we’re looking for:

• 12+ years of software engineering experience with deep expertise in distributed systems, especially online serving, storage, and caching systems: hands-on experience building and operating highly available, reliable, production-grade systems at large scale; strong technical judgment in reliability, scalability, performance, and infrastructure efficiency; proficiency in at least one of C++, Java, or Python.
• Proven track record driving large-scale technical impact: experience leading reliability and scalability improvements, cost efficiency initiatives, and modernization efforts across critical production systems; able to define technical strategy, influence architecture decisions, and drive execution through cross-functional collaboration, strong communication, and operational excellence.
• Strong ownership, quality mindset, and thoughtful use of AI: demonstrates high standards for engineering quality, integrity, and accountability for final outcomes; able to use AI to accelerate analysis, debugging, design exploration, or operational workflows while applying critical thinking, validating correctness, and maintaining sound technical judgment rather than outsourcing ownership to tools.
• Exceptional collaboration skills with cross-functional partners, with the ability to navigate ambiguity, make tradeoffs, and keep stakeholders aligned on priorities and progress.
• Bachelor’s degree in Computer Science, a related technical field, 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 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 per quarter and therefore needs to be in a commutable distance from one of the following offices: PA or SF offices.

#LI-HYBRID

#LI-CL5

At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love. Our Finance & Accounting team plays a critical role in powering that mission—ensuring growth is responsible, scalable, and future-focused. We’re looking for a strategic, collaborative, and technically strong Director of Accounting, Revenue Recognition to ensure ASC 606 compliance and lead our revenue processes in a dynamic, cross-functional environment.

What you’ll do:

• Oversee Pinterest's global revenue recognition and sales contract processes, ensuring accurate and timely revenue recognition in compliance with ASC 606.
• Develop and maintain global revenue recognition policies, SEC disclosure and related SOX controls to reflect changes in our business, GAAP or SEC guidance.
• Serve as the subject matter expert and primary contact for all technical revenue recognition matters, collaborating with Sales, Product, Engineering, IT, Finance, and Customer Support to align processes with business objectives and regulatory requirements and ensure compliance with Pinterest’s revenue recognition policies.
•  Responsible for technical accounting research and memos to document revenue recognition conclusions and other technical accounting positions in support of key financial disclosures related to revenue.
• Train cross-functional teams on revenue recognition and related topics, ensuring clarity and consistency across the organization.
• Responsible for informing and training the revenue accounting team of new revenue accounting arrangements to ensure accurate bookings in the general ledger and reviewing results for accuracy. 
• Partner with Order Management, collections, payment & risks and accounting teams to proactively identify risks, address contract nuances, and implement best practices.
• Serve as the primary liaison and main point of contact with internal and external auditors to facilitate efficient audit processes and respond to technical queries on revenue.
• Analyze revenue trends and metrics to generate actionable insights that inform strategic decision-making and support business growth.
• Champion continuous process improvement and automation initiatives to scale operations in a fast-paced environment.
• Use AI to to accelerate technical research, memo drafting and operationalize new GTM initiatives.
• Explore using AI tools, craft smart prompts, evaluate AI outputs.

What we’re looking for:

• Our PinFlex future of work philosophy for this Accounting organization requires this role to visit a Pinterest office for collaboration up to 2 times per month. 
• Deep technical expertise in ASC 606 and related accounting guidance and external disclosure guidance  along with the ability to research and evaluate complex accounting rules and contract structures, assess and evaluate developing accounting issues or changes in rules or regulations to ensure the company is prepared for any such changes in advance; Internet advertising experience preferred.
• Impeccable verbal and written communication skills—able to distill complex accounting concepts for a variety of audiences, including senior leadership and cross-functional stakeholders.
• Strong collaboration skills and a track record of building effective partnerships with cross-functional teams (e.g., Sales, Product, Engineering, IT, Finance, Customer Support).
• Demonstrated experience using AI to accelerate technical research or accounting operations.
• Demonstrated executive presence, critical thinking, and problem-solving ability.
• Bachelor’s degree with 5+ years of progressive accounting experience, or minimum 10+ years of experience in revenue recognition or technical accounting roles with a minimum of 3 years in public accounting. National office or technical advisory roles and experience with ad or platform technology company experience are pluses. Certified public accountant preferred.

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

#LI-REMOTE 

We are looking for a technically deep Engineering Manager to help define the future of the agent platform at Pinterest. Working closely with cross-functional engineering teams, product, and researchers, you'll lead a small and nimble team playing a pivotal role in architecting and scaling the systems that bring intelligent agent experiences to life. You will guide your team in designing and building the foundational platforms, from agent serving and evaluation to tracing and monitoring, that enable Pinterest's next generation of agent capabilities. You will grow and empower engineers while shaping how we build with and for agents at scale across the company.

What you'll do:

• Define the direction of Pinterest's agent platform and build critical components such as agent serving, evaluation, and monitoring.
• Partner with and advise internal product and engineering teams on agent tech stack needs to shape the future vision for the agent platform.
• Lead the team's technical direction and roadmap for key agent infrastructure and platform investments.
• Hire, mentor, and grow engineers across all levels, fostering a culture of technical excellence, ownership, and continuous learning.
• Use AI to accelerate team execution, system design, and decision-making, applying sound judgment to validate outputs and ensure correctness and quality.
  
  

What we're looking for:

• 1+ years of experience leading and growing engineering teams, with a strong hands-on background in Python.
• 7+ years of industry experience designing, building, and operating scalable, highly available backend systems, including owning production-grade infrastructure at scale.
• Proficiency in designing and delivering agent platform services end-to-end, with hands-on experience across agent evaluation frameworks, prompt iteration workflows, and harness engineering.
• Experience with cloud infrastructure on AWS and containerized services using Docker and Kubernetes.
• Demonstrated technical leadership and people management experience, including setting team vision and long-term roadmap, mentoring and growing engineers across all levels, driving day-to-day execution and engineering alignment, and partnering cross-functionally to deliver complex, high-impact platform investments.
• Demonstrated ability to use AI to accelerate team execution, system design, and decision-making, paired with sound judgment in validating outputs, maintaining quality, and taking ownership of final outcomes.
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
• Bachelor's degree in a relevant field such as Computer Science or Engineering, or equivalent experience.
  
  

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/quarter, and therefore can be situated anywhere in the country. 
  
  

Relocation Statement:

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

 #LI-HYBRID

#LI-AH2

We are looking for bold, technically deep Staff Backend Software Engineers to help define the future of the agent platform at Pinterest. Working closely with cross-functional engineering teams, product, and researchers, you'll play a pivotal role in architecting and scaling the systems that bring intelligent agent experiences to life. You will design and build the foundational platforms, from agent serving and evaluation to tracing and monitoring, that enable Pinterest's next generation of Agent capabilities. You will guide and empower engineering teams across the company, shaping how we build with and for agents at scale. Because we believe that transformative progress requires both technical rigor and courageous vision, you'll be invited to set direction, drive alignment, and lead initiatives from inception through technical design, implementation, and release.

What you'll do:

• Define the technical direction and roadmap for Pinterest's agent platform, including critical components such as agent serving, evaluation, monitoring, and tool calling.
• Design and build scalable, highly available infrastructure that supports production-grade agent services operating at company scale.
• Partner with and advise internal product and engineering teams on agent tech stack needs, shaping the future vision of the agent platform.
• Lead day-to-day technical alignment across teams, driving execution on key agent infrastructure investments and complex cross-functional platform initiatives.
• Use AI to accelerate system design, prototyping, and technical decision-making, applying sound judgment to validate outputs and ensure correctness and quality.
• Synthesize emerging research and advances in agent technology, translating breakthroughs into actionable platform improvements.

What we're looking for:

• 2+ years of experience building agent systems, with a strong understanding of core agent platform components such as memory, serving, evaluation, harnesses, and tool calling.
• 7+ years of experience building scalable, highly available backend systems, including designing and operating infrastructure that supports production-grade services at scale.
• Experience with cloud-native infrastructure and service deployment technologies such as Kubernetes and Docker, with a strong understanding of how to deploy and manage large-scale services reliably.
• Demonstrated technical leadership in setting roadmap and driving execution — including defining technical direction, leading engineering alignment, and partnering across teams to deliver complex platform investments.
• Demonstrated ability to use AI to accelerate development, system design, and decision-making, with sound judgment in validating outputs, maintaining quality, and taking ownership of final outcomes.
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
• Bachelor's degree in a relevant field such as Computer Science or Engineering, or equivalent experience.

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/quarter, and therefore can be situated anywhere in the country. 
  
  

Relocation Statement:

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

#LI-HYBRID

#LI-AH2

Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. As we scale Generative AI experiences — including Pinterest Assistant and Canvas — ensuring these products are safe, fair, and trustworthy is paramount. We are looking for a Senior Data Scientist to help lead Pinterest's responsible AI mandate within the Advanced Technology Group (ATG). In this role, you will design and build the data science foundations for automated adversarial testing of our GenAI products — developing attack strategies, evaluation frameworks, and harm-detection methodologies that operate at scale. You will work in a highly collaborative and cross-functional environment, partnering with ML Engineers, Trust & Safety specialists, Policy teams, and Product Managers. You are expected to develop a deep understanding of generative AI vulnerabilities, and generate insights and robust methodologies to proactively surface and mitigate risks. The results of your work will directly influence product safety, policy compliance, and user trust across Pinterest.

What you'll do

• Design and develop automated adversarial testing methodologies — including single-turn, multi-turn, and multimodal attack strategies — to proactively identify vulnerabilities in Pinterest's Generative AI products.
• Build and calibrate hybrid evaluation pipelines combining LLM-based judges, classifiers, and rule-based systems to accurately detect safety violations, policy breaches, bias, and representational harms.
• Develop and operationalize harm taxonomies grounded in industry standards and Pinterest's Responsible AI and Trust & Safety threat models.
• Design adaptive refinement loops that learn from attack outcomes (near-misses, partial failures) to iteratively surface deeper and previously unknown vulnerabilities.
• Bring scientific rigor and statistical methods to the evaluation of AI safety — including benchmark dataset construction, evaluation calibration, and success-metric definition (vulnerability severity, coverage breadth, pre-launch risk reduction).
• Work cross-functionally to build relationships, proactively communicate key findings, and collaborate closely with ML engineers, Trust & Safety specialists, policy teams, product managers, and legal partners to ensure safe product launches.
• Relentlessly focus on impact, whether through influencing product safety strategy, advancing responsible AI metrics, or improving critical evaluation processes.
• Mentor and up-level junior data scientists and cross-functional partners on adversarial evaluation, responsible AI methodologies, and safety-aware data science practices.

What we're looking for

• 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data.
• Strong interest and hands-on experience in one or more of: AI safety, adversarial machine learning, red teaming, responsible AI, or trust & safety.
• Deep familiarity with large language models (LLMs), generative AI systems, and their failure modes — including prompt injection, jailbreaks, bias, and safety violations.
• Experience designing and calibrating evaluation frameworks for AI systems — including LLM-as-judge, classifier-based evaluation, and benchmark dataset construction.
• Strong quantitative programming (Python) and data manipulation skills (SQL/Spark); experience with ML pipelines and large-scale experimentation.
• Familiarity with AI safety taxonomies and frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS) is strongly preferred.
• Ability to work independently, drive ambiguous projects end-to-end, and operate with high ownership.
• Excellent written and verbal communication skills, with the ability to explain complex technical findings to both technical and non-technical partners.
• A team player eager to partner across Responsible AI, Trust & Safety, Product, Engineering, Policy, and Legal to turn safety insights into action.

This position is not eligible for relocation assistance.

#LI-NM4 

Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. As we scale and unify our foundational AI models across every recommendation surface, rigorously measuring the system-level impact of these advances is essential to our ability to ship with confidence and compound gains over time.

We are looking for a Senior Data Scientist to serve as the measurement backbone for Pinterest's foundational model initiatives within the Advanced Technology Group (ATG). In this role, you will design the evaluation frameworks, experimentation strategies, and system-level metrics that quantify how improvements to our largest and most complex models translate into real user and business outcomes. You will work in a highly collaborative and cross-functional environment, partnering with ML Engineers, Applied Scientists, Product Managers, and ML Platform engineers. 

You are expected to develop a deep understanding of Pinterest's recommendation ecosystem, from representation learning to retrieval, ranking, reinforcement learning, and beyond, and bring the analytical rigor necessary to decompose, attribute, and communicate the impact of foundational model changes across this interconnected system. The results of your work will directly influence model investment decisions, launch criteria, and the pace of innovation across ATG and Pinterest.

What You'll Do

• Design and execute system-level measurement frameworks for foundational model improvements spanning offline evaluation benchmarks, online A/B experiments, and longitudinal impact tracking across surfaces.
• Define, and own the success metrics that quantify foundational model value.
• Build causal inference methodologies to isolate the incremental impact of individual model components within a complex, multi-model production system where changes co-occur and interact.
• Work cross-functionally to build relationships, proactively communicate key findings, and collaborate closely with ML Engineers, Applied Scientists, Homefeed and Surface teams to ensure measurement rigor is embedded in every model launch.
• Relentlessly focus on impact, whether through sharpening investment decisions with data, raising the bar for launch criteria, accelerating experimentation velocity, or surfacing hidden inefficiencies in the model ecosystem.

What We're Looking For

• 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data.
• Strong interest and hands-on experience in one or more of: ML system evaluation, recommender system measurement, A/B experimentation at scale, causal inference
• Deep familiarity with large-scale recommendation or ranking systems and their evaluation including an understanding of how representation learning, retrieval, ranking, and re-ranking stages interact and compound in production.
• Experience designing and executing A/B experiments for complex ML systems,  including multi-surface holdouts, metric decomposition, long-run effect estimation, and interference/spillover mitigation.
• Strong quantitative programming (Python) and data manipulation skills (SQL/Spark); experience with ML pipelines, feature stores, and large-scale experimentation platforms.
• Ability to work independently, drive ambiguous projects end-to-end, and operate with high ownership in a fast-moving research-to-production environment.
• Excellent written and verbal communication skills, with the ability to translate complex system-level findings into clear narratives for technical and non-technical partners including leadership-level investment recommendations.
• A team player eager to partner across teams to turn measurement insights into better models and faster launches.

This position is not eligible for relocation assistance.

#LI-NM4

At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love. Our Finance & Accounting team plays a critical role in powering that mission—ensuring growth is responsible, scalable, and future-focused. We’re looking for a strategic, collaborative, and technically strong Revenue Technical Accounting Manager to ensure ASC 606 compliance and lead our revenue processes in a dynamic, cross-functional environment.

What you’ll do:

• Serve as Pinterest’s go-to ASC 606 expert for our various products, including multi-element arrangements, contract modifications, variable consideration, and usage-based commitments.
• Own and evolve our revenue playbook by authoring, updating, and maintaining revenue recognition policies, playbooks, and accounting memos that support Pinterest’s diverse contract structures.
• Partner cross-functionally to review complex and non-standard contracts, providing structuring guidance that balances commercial goals with optimal revenue outcomes.
• Work cross-functionally with Finance, Legal, Sales, Sales Operations, Business System, Engineering, and key business owners to design scalable revenue accounting processes with a strong focus on automation and continuous improvement.
• Determine revenue recognition approaches for new products and offerings, including identifying performance obligations, evaluating SSP, and assessing contract modifications.
• Translate complex technical accounting concepts into practical, easy-to-use guidance and recommendations for non-accounting stakeholders and leadership.
• Support a timely and accurate quarter-end close through the execution and/or review of monthly revenue activities and deliverables (e.g., journal entries, deal review, and reporting).
• Contribute to special projects, system enhancements and UAT, and ad hoc analyses as the business scales and evolves.
• Use AI to to accelerate technical research and memo drafting.
• Explore using AI tools, craft smart prompts, evaluate AI outputs.
  
  

What we’re looking for:

• Deep technical expertise in ASC 606 and related accounting guidance and external disclosure guidance  along with the ability to research and evaluate complex accounting rules and contract structures, assess and evaluate developing accounting issues or changes in rules or regulations to ensure the company is prepared for any such changes in advance; Internet advertising experience preferred.
• Impeccable verbal and written communication skills—able to distill complex accounting concepts for a variety of audiences, including senior leadership and cross-functional stakeholders.
• Strong collaboration skills and a track record of building effective partnerships with cross-functional teams (e.g., Sales, Product, Engineering, IT, Finance, Customer Support).
• Demonstrated experience using AI to accelerate technical research or accounting operations.
• Bachelor’s degree with 5+ years of progressive accounting experience, including 3+ years of substantial work in technical revenue accounting / ASC 606.
• CPA or equivalent, Big 4, or audit background strongly preferred, with a mix of tech industry experience and accounting advisory expertise for complex revenue environments.

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

#LI-REMOTE

#LI-MB2

The Team: 

Pinterest helps people find inspiration and take action on it—connecting pinners with ideas and products they love. Within EPD, the Monetization org builds the ads and merchant ecosystem that funds Pinterest’s business while protecting long-term user experience. This Staff TPM role sits in Monetization as the TPM lead for Monetization Data Science, at the center of a highly cross-functional network (Product, Engineering, Design, Sales, PMM, Core, Platforms, Data). What’s exciting is the team’s explicit shift toward a “data-driven monetization engine”: unifying fragmented data into a trusted SSOT, building an end-to-end input metrics funnel, enabling advanced segmentation, and democratizing analytics so teams can move faster and make better decisions with shared context. 

What you’ll do:

• Lead the Monetization DS execution roadmap: drive the integrated plan across the four strategic pillars (SSOT + funnel, segmentation, input-metrics cadence, democratized analytics) with clear milestones and success measures. 
• Productionalize our DS strategy: coordinate Platforms/Data Eng + Monetization Eng + DS to productionalize core tables, governance, reliability, and scale beyond DS-owned pipelines. 
• Enable new instrumentation: partner with Engineering to close observability gaps (especially delivery funnel instrumentation) so full-funnel survivability can be analyzed reliably. 
• Drive workflow automation: reduce manual human intervention in recurring data workflows and program operations; build durable mechanisms for monitoring, alerting, and dependency tracking. 
• Scale self-serve and democratization: deliver partner-facing tooling (dashboards / analytics surfaces) that makes staples the common language and supports fast diagnostics and opportunity mining. 
• Operationalize input metrics: establish/upgrade business review cadences so teams set goals and are accountable for moving controllable input metrics (not just reporting revenue outcomes). 
• Drive targeted deep dives: structure and execute cross-functional deep-dive programs (e.g., influencer population, auction density/demand) with clear hypotheses, decision asks, and downstream action plans. 
• Use GenAI as the default operating model for EP PgM execution—producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows into AI-first mechanisms (e.g., intake triage, status synthesis, action/decision extraction, risk & dependency tracking), and synthesizing signals to proactively surface risks, decision/trade-offs, and escalation paths.
• Prototype solutions to augment decisions through data (e.g. dashboards, data analysis) or simplify processes (e.g. process and workflow helpers, or internal tools) using AI coding assistants (“vibe coding”).
• Follow Pinterest AI guidance for risk, governance, and safety-by-design: appropriately handle sensitive data, validate AI-generated outputs, document assumptions/limits, and ensure AI-assisted workflows meet applicable policy/compliance expectations before broad adoption.

What we’re looking for:

• Staff-level TPM scope and behaviors: proven ability to independently own multi-team, multi-quarter technical programs, including resolving ambiguity, driving decisions, and delivering outcomes through influence.
• Deep cross-functional leadership: strong partnership with Product and Engineering plus ability to align Design, Sales, PMM, Core, Platforms, and Data on sequencing, tradeoffs, and adoption. 
• Data platform + metrics judgment: experience building trusted metrics/SSOT and operational cadences that shift org behavior toward leading indicators and fast diagnosis. 
• Mechanism builder, not “process administrator”: track record of creating durable operating systems (cadence, dashboards, decision logs, RACI/DRIs) that reduce toil and increase velocity.
• Excellent risk and dependency management: anticipates cross-org failure modes, keeps stakeholders aligned with crisp comms, and escalates with clear options and recommendations.
• AI-first execution mindset: demonstrated ability to use GenAI to accelerate planning, program operations, and stakeholder communications—starting with AI drafts and applying strong judgment to validate, refine, and drive decisions.
• Workflow design, AI fluency, data & insights orientation: experience turning repeatable program work into durable, low-toil mechanisms and improving decision-making by using GenAI (e.g., strong prompting, vibe coding lightweight scripts/tools, dashboards, data analysis and leveraging agents where appropriate)
• Safety-by-design AI fluency: experience operating within AI governance expectations (risk assessment, data handling, model/output validation, auditability/traceability) and proactively identifying where AI use is not appropriate or requires additional controls.
• Bachelor’s degree in Computer Science, Engineering, a related field 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 recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.

#LI-REMOTE

#LI-JD3

Pinterest is looking for a methodical, systems-minded Senior Product Designer with a passion for translating complex data, workflows into clear, intuitive experiences. You’ll join the Measurement & Conversion team, partnering with PM, Eng, PMM, content design, and research to shape how advertisers measure, understand, and optimize performance on Pinterest across products like Conversions measurement, Brand measurement, and AI-driven Measurement experience.

What you’ll do:

• Own high-impact, revenue-critical projects for Measurement, Conversions, and AI products that demonstrate the full value of Pinterest ads, from framing the problem through execution and iteration.
• Design end-to-end workflows for how advertisers track conversions, run measurement studies, interpret performance, and take action to optimize across measurement products.
• Simplify complex data and technical concepts (e.g., incrementality, attribution, API) through intuitive interaction patterns, visualizations, narratives, and in-product education in partnership with content design and research.
• Shape the Measurement & Conversions UX vision so advertisers and internal teams have a clear, centralized destination for understanding performance and making decisions.
• Collaborate closely with engineering, product management, and research to develop impactful, user-centric, and data-informed solutions.
• Collaborate with and manage feedback from stakeholders across the company.
• Work alongside engineers throughout the implementation and quality assurance phases.
• Uphold and inspire a high level of design execution across the team.

What we’re looking for:

• Experience designing B2B tools, ideally in advertising or other enterprise ecosystems.
• Proven track record of envisioning, shipping, and iterating on digital ad products in close partnership with product management and engineering.
• Portfolio that demonstrates exceptional design craft (with prototyping as a must), strong product thinking, and clear, measurable impact.
• Fluency prototyping with AI-assisted tools such as Figma Make, Cursor, and Claude to quickly explore, pressure-test, and communicate concepts.
• Ability to balance the needs of multiple stakeholders and lead multiple concurrent workstreams.
• Clear, confident communication skills: you can explain complex design decisions and tradeoffs in ways that align cross-functional partners.
• Meticulous attention to detail and a high bar for quality across flows, states, and edge cases.
• Experience designing within and extending design systems. Deep understanding of layout, typography, color, and other core interaction and information design principles. 
• High level of self-awareness and a growth mindset, you seek feedback and use it to grow your craft and impact.
• Bachelor’s degree in design, a related field or equivalent experience.
• 5+ years in Product Design (or equivalent).

In-Office Requirement Statement:

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

Relocation Statement:

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

#LI-REMOTE

#LI-JD3

Pinterest is a platform where > 500 million users come to discover ideas, get inspired, and turn dreams into action. Every time a user opens Pinterest, Homefeed is what greets them. For over half a billion people each month, your work will help define what they see, how they feel, and how they connect with what matters to them. As the Manager II, Machine Learning Engineering for Homefeed Retrieval Modeling, you sit at the heart of this mission, propelling both technology and people forward.

Pinterest Homefeed is known for being at the forefront of recommendation system technologies, helping to pioneer innovative breakthroughs that are scalable to positively impact the Pinner experience. Retrieval is where the recommendation journey starts, and that is the scope of the team you’ll lead. More specifically you’ll own:

• All of the retrieval sources (candidate generators), including machine learned ones such as two-tower and conditional two-tower
• ML optimization engines to dynamically trigger the different candidate generators
• Signal development and integration in early funnel of recommendation systems to drive growth and retention on the the platform
• Forward-looking investments such as generative retrieval technologies to bring step-function improvements in how contents are recommended
  
  

What you’ll do:

• People Leadership: Build, mentor, and empower a diverse team of 8-9 machine learning engineers—focusing on growth, well-being, and career ambitions. Guide high level ICs, nurture rising stars, and foster an environment where curiosity and mastery thrive.
• Technical Direction: Set the strategy, architecture, and roadmap for machine learning-based solutions at the heart of Homefeed. Bring together state-of-the-art ML techniques, cost-efficiency, and infrastructure excellence to drive discovery.
• Cross-Functional Collaboration: Partner with product, design, and engineering teams to connect business goals and user needs. Drive the conversation for new product experiences and ensure Homefeed remains best-in-class, always evolving to meet what’s next.
• Stakeholder Influence: Bridge leadership vision with execution, maintain clarity through change, and build trust during periods of transformation. Provide senior leadership with visibility into the team’s impact across Pinterest and the industry.
• Culture Development: Model a culture of expertise, inclusivity, and psychological safety. Your guidance sets the tone for the team—balancing stability and evolution as the organization grows.
• How you may grow:
• • This role is uniquely positioned for extraordinary growth:
  • Industry Visibility: Innovate in ML-driven recommendation systems at a scale few companies reach. Your work will shape state-of-the-art practice, inspire the industry, and be recognized not only internally but by millions globally via blog posts and conference paper submissions.
  • Core Business Value: Homefeed Retrieval directly influences the largest user touchpoint at Pinterest. As the business and platform grows, this role and the team will scale naturally with it.
  • Broad Technical Scope: Homefeed Retrieval influences the largest user touchpoint at Pinterest. You’ll lead across core ML topics—learned retrieval, candidate generator modeling, RecGPT, deep collaboration with Principle-level engineers, other organization leaders, and more.
  • Mentorship and Legacy: Build a mentoring legacy not just for your direct team of 8+ engineers (including Staff-level MLEs), but also by shaping new leaders and influencing peers across the company.
    
    

What we’re looking for:

• Depth in ML: You bring deep expertise in large-scale production recommender, search, or ads systems. You know the landscape of embedding-based retrieval, experimentation, cost-efficiency, and product-facing ML solutions.
• Leadership Maturity: 8+ years of experience, including 1+ year managing high-performing ML teams (10 or more engineers), and a proven record of hiring, empowering, and developing technical talent.
• Strategic Instinct: You balance ambition and pragmatism, thoughtfully prioritizing investments in foundational and experimental work. You keep business goals and user experience front and center, never losing sight of impact.
• Collaborative Spirit: Experienced in cross-functional stakeholder management, you help diverse teams navigate change, achieve shared goals, and thrive through ambiguity.
• Growth Orientation: Whether guiding senior ICs or partnering with peers, you listen deeply, adapt thoughtfully, and help people stretch in pursuit of excellence.
• AI Efficiency: Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring. Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

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 1-2 times/quarter and therefore can be situated anywhere in the country.

#LI-REMOTE

#LI-DM57

About tvScientific

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

We are looking for an ambitious Systems / Platform Engineer to join a team at the intersection of SRE and low-latency distributed systems. This team will help power Pinterest’s next generation of realtime ML and measurement infrastructure, with a focus on sub‑millisecond decisioning, high‑throughput data access, and tight integration with Pinterest’s core tech stack.

In this role, you’ll think about queries and RPCs in terms of syscalls, cache lines, and wire formats, and design systems that stay fast and predictable under load. You’ll help define and harden the foundation for our training and serving stack: from storage and indexing strategies, to streaming and fanout, to backpressure and failure handling across services and regions. You’ll work closely with software engineering, data infra, and SRE partners to ensure our systems are observable, debuggable, and operable in production.

If topics like IO scheduling and batching, lock‑free or low‑contention data structures, connection pooling, query planning, kernel and network tuning, on‑disk layout and indexing, circuit‑breaking, autoscaling, incident response, NixOS, Rust, and robust SLIs/SLOs sound interesting (even if it’s just a subset), this role gives you a chance to apply that expertise to business‑critical, high‑leverage infrastructure at Pinterest scale.

What you'll do:

• Scale the decision making process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments
• Improve the developer experience for the data science team
• Upgrade our observability tooling
• Make every deployment smooth as our infrastructure evolves.

What we're looking for:

• Deep understanding of Linux
• Excellent writing skills
• A systems-oriented mindset
• Experience in high-performance software (RTB, HFT, etc.)
• Software engineering experience + reliability (e.g. CI/CD) expertise
• Strong observability instincts
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
• Nice-To-Haves
  • Reverse-engineering experience
  • Terraform, EKS, or MLOps experience
  • Python, Scala, or Zig experience
  • NixOS experience
  • Adtech or CTV experience
  • Experience deploying a distributed system across multiple clouds
  • Experience in hard real-time low-latency (<10 ms) environments

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

About tvScientific

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

We’re looking for a Sales Engineer to be the go-to technical partner for our customers—from the first “what is tvScientific?” conversation all the way through onboarding and beyond.

You’ll work side-by-side with Sales and Onboarding to scope out the right solutions, showcase what our platform can do, and make sure everything runs smoothly once clients are ready to go live. This role is a mix of technical problem-solver and trusted guide—you’ll help clients understand how we fit into their world and make sure they’re set up for long-term success.

What You'll Do:

• Serve as the primary technical expert during the sales cycle, partnering closely with Sales to design, explain, and validate client integrations
• Lead discovery conversations to understand client integration preferences, including client-side pixels, server-to-server postbacks, and custom reporting needs
• Recommend measurement and attribution solutions tailored to each client’s business goals and technical environment
• Troubleshoot and resolve implementation issues related to data flow, event firing, attribution, and reporting accuracy
• Translate complex technical concepts into clear, client-friendly explanations to build trust and drive deal confidence
• Work cross-functionally with Product, Engineering, and Customer Success to relay client needs and integration feedback
• Stay current on ad tech, programmatic advertising, privacy changes, and measurement best practices to inform solutions and recommendations
• Document best practices, integration patterns, and technical solutions for internal teams and clients
• Leverage AI tools to improve day-to-day efficiency across technical discovery, research, documentation, and internal knowledge sharing
• Use AI-assisted workflows to accelerate issue investigations, troubleshoot conversion requests and event flows, and draft technical documentation

What We're Looking For:

• 3+ years in a technical, client-facing role (Sales Engineering, Pre-Sales, Technical Account Management)
• Strong understanding of the digital media and advertising landscape, with experience talking to customers and agencies about digital media, including CTV advertising
• Hands-on experience with tracking technologies (pixels, SDKs, server-side postbacks, APIs, tag management solutions)
• Strong debugging skills and comfort working with logs, network requests, and data validation tools
• Strong communication and problem-solving skills
• A proactive mindset with the ability to work cross-functionally and independently
• Comfort translating technical complexity into accessible explanations
• Experience using AI tools to accelerate technical research, troubleshooting, documentation, and workflow efficiency
• Strong judgment in applying AI-assisted workflows to customer-facing technical work while maintaining accuracy, clarity, and trust
• Nice to Haves
  • Familiarity with programmatic platforms (DSPs, SSPs, exchanges)
  • Experience working with enterprise clients and complex technical stakeholders
  • Knowledge of analytics, conversion tracking, measurement, and attribution solutions
  • Working knowledge of privacy frameworks and regulations (GDPR, CCPA, consent management, cookie deprecation)

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

About tvScientific

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

We are seeking a Sr. Software Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem — auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios — and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.

What you’ll do:

• Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
• Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
• Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
• Use simulation to de-risk ML model deployments — validate new bidding and optimization strategies before they touch live traffic
• Define the technical direction for simulation and AI infrastructure and mentor engineers on the team

What we’re looking for:

• Systems programming experience in Zig or similar (C, C++, Rust)
• Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
• Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows — and good judgment about when they help vs. when they don't
• Adtech experience: you understand RTB mechanics, and the dynamics of programmatic advertising
• Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks
• Clear written communication: you'll be defining new technical directions and need to bring others along
• Ownership: you scope, design, and ship systems end-to-end with minimal direction
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
• Nice-to-Haves:
  • Strong production Python skills and experience building simulation or modeling systems
  • Causal inference — uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
  • Experience with discrete event simulation, Monte Carlo methods, or digital twins
  • Reinforcement learning — using simulated environments for policy learning and evaluation
  • Experience building agentic AI systems or multi-agent simulations
  • Big data experience with Scala and Spark
  • 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 our PinFlex page to learn more about our working model.

#LI-SM4

#LI-REMOTE

About tvScientific

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

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

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

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

What you'll do:

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

What we're looking for:

• Experience with billing/contract mechanisms (specifically affiliate platforms)
• Bachelor’s degree in computer science, a related field or equivalent experience
• Experience building large-scale full-stack products.
• Deep understanding of web development and best practices in React/Redux
• Strong experience with programming languages Javascript and Python/Java
• Strong software engineering principles and practices
• Strong collaboration and communication skills
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
• Nice-to-Haves:
  • Experience working closely with finance or accounting teams
  • Background in building audit-friendly or compliance-sensitive systems

In-Office Requirement Statement:

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

Relocation Statement:

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

#LI-SM4

#LI-REMOTE

About tvScientific

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

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

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

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

What you'll do:

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

What we're looking for:

• Experience with billing/contract mechanisms (specifically affiliate platforms)
• Bachelor’s degree in computer science, a related field or equivalent experience
• Experience building large-scale full-stack products.
• Deep understanding of web development and best practices in React/Redux
• Strong experience with programming languages Javascript and Python/Java
• Strong software engineering principles and practices
• Strong collaboration and communication skills
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
• Nice-to-Haves:
  • Experience working closely with finance or accounting teams
  • Background in building audit-friendly or compliance-sensitive systems

In-Office Requirement Statement:

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

Relocation Statement:

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

#LI-SM4

#LI-REMOTE

tvScientific seeks a Staff Product Manager to join our Activation team. This position is pivotal in scaling access to Streaming Advertising across Connected TV and other formats. The individual will assume ownership of their roadmap, guiding development from conception to launch in collaboration with Engineering and partners. This role's output will directly enhance campaign performance, optimization, and creative functionalities.

This is a highly cross-functional role demanding both technical acumen and robust product leadership. The Staff Product Manager will collaborate with Engineering and partner teams to construct scalable, reliable, and supportable technology that yields significant business value. Key responsibilities include defining core metrics, authoring precise product specifications, and ensuring internal teams are equipped to articulate the value proposition of CTV across our platform and to the broader market.

What you'll do:

• Define and execute the product strategy for a significant portion of our Activation suite, establishing the vision both internally and externally.
• Collaborate with various engineering teams, specifically those focused on campaign management and creative development, to architect and deliver a market-leading suite of capabilities.
• Develop services designed for operational efficiency and scale by considering the entire advertiser and campaign lifecycle.
• Partner with Legal, Security, and Data teams to ensure adherence to CCPA, GDPR, and global privacy regulations.
• Document detailed product requirements, data specifications, and user stories to guide Engineering and Infrastructure teams on high-impact features that align with the tvScientific strategy.
• Establish and monitor key performance indicators such as feature adoption and revenue influenced to inform feature development, refinement, and new initiatives.
• Core Responsibilities & Product Development Leadership:
  • Product Portfolio Growth and Scalability: Be the driving force behind the execution and continuous enhancement of a multi-faceted, revenue-generating product portfolio. This includes identifying strategic opportunities for innovation, overseeing the entire product lifecycle from conceptualization through launch, and ensuring the technical architecture is scalable, resilient, and capable of supporting exponential growth in user adoption and transaction volume. A key focus will be on delivering enhancements that directly increase advertiser value and optimize the yield for both tvScientific and Pinterest platforms.
• Cross-Functional Collaboration & Partnership:
  • High-Impact Stakeholder Management: Establish and maintain a gold-standard of collaboration and partnership with critical internal and external stakeholders. This requires building strong, trusting relationships with Engineering, Data Science, Design, Sales, and Marketing teams at both tvScientific and Pinterest.
• Seamless Integration and Alignment:
  • Act as the central liaison, ensuring complete alignment on product roadmaps, technical specifications, and delivery timelines between the two companies. This involves proactively communicating risks, sharing progress transparently, and facilitating joint problem-solving sessions to navigate complex technical and business challenges. The goal is to create a seamless, cohesive working environment that maximizes the value derived from the partnership.
    
    

What we're looking for:

• Minimum of ten years' experience in digital advertising product management.
• Extensive experience collaborating with both internal and external technical Engineering teams to develop and deploy public services infrastructure.
• Demonstrated expertise in activation workflows, schemas, and architecture within large-scale advertising platforms.
• Possesses a robust analytical mindset and proficiency in working with substantial datasets.
• Technical acumen spanning APIs, data pipelines, and software applications.
• Exceptional communication skills, capable of translating complex technical concepts into tangible business value.
• A strong foundational understanding of ad technology, with preference given to candidates possessing Connected TV experience.
• You may also have:
  • Demonstrated expertise in programmatic advertising and digital media procurement.
  • Knowledge of compliance and regulatory considerations within the advertising technology sector.
  • Attainment of certification or specialized training in Agile or Scrum frameworks.
  • Prior experience engaging with industry collaborators and cultivating strategic partnerships.
  • Fluency in supplementary languages pertinent to the advertising technology marketplace.
  • 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.

#LI-REMOTE
#LI-REX

Intro:

Pinterest is looking for an experienced and highly technical Technical Program Manager to join the Advanced Technology Group (Advanced Technology Group), a research‑driven engineering organization focused on advancing Pinterest’s ML/AI and infrastructure capabilities.

This individual will drive cross‑cutting programs that span ML research, applied science, infra, and product integration, partnering closely with engineering, research, product, data science, and other TPMs. You’ll operate across multiple domains and paces — from long‑term research explorations to fast‑moving, high‑impact production launches — and help ensure Advanced Technology Group’s work translates into reliable, scalable systems that power the Pinterest experience.

What you’ll do:

• Own and drive end‑to‑end technical programs across Advanced Technology Group, from problem definition and design through execution, launch, and iteration.
• Coordinate work across ML/AI research, infra, and product engineering teams, aligning on goals, milestones, and success metrics.
• Design and run operating rhythms (e.g., planning, reviews, launch readiness, post‑mortems) that give clarity and focus during periods of heavy change or high stakes.
• Partner with engineering and research leads to evaluate technical designs and trade‑offs, surface risks early, and drive decisions that balance long‑term investments with short‑term impact.
• Manage experimentation and evaluation workflows (offline and online), bringing clarity to results and driving decisions on whether to scale, iterate, or stop.
• Build and improve tools, processes, and communication mechanisms that help Advanced Technology Group operate effectively across multiple teams, time horizons, and technical stacks.
• Use data and metrics to track program health, identify bottlenecks, and proactively adjust scope and plans.
• Communicate program status, risks, and decisions clearly to senior leadership and cross‑functional stakeholders, tailoring the level of technical detail to the audience.
  
  

What we’re looking for: 

• BS in a technical field (e.g., Computer Science, Engineering, Mathematics) or equivalent practical experience (5+ years in a hands‑on technical role).
• 3+ years of experience in Technical Program Management, or equivalent experience in technical leadership roles driving complex, multi‑team initiatives.
• Demonstrated experience working closely with ML/AI and/or infra engineering teams, with the ability to deeply understand system architectures, data flows, and model/infra trade‑offs.
• Ability to use program management tools [Google Sheets, Jira etc] and the ability to use AI tooling to create automated tracking and reporting solutions is a must.
• Strong technical breadth and judgment, with the ability to quickly ramp up on new technologies, identify technical risks, and facilitate high‑quality technical decisions.
• Experience leading large, cross‑functional programs from inception through launch, including setting scope, managing dependencies, and aligning multiple stakeholders.
• Comfort operating in fast‑changing, high‑ambiguity environments, including research‑heavy or platform‑oriented teams.
• Proficiency with SQL to analyze data, create dashboards, and inform decisions.
• Proven ability to communicate complex technical concepts to both technical and non‑technical audiences, in writing and verbally.
• Strong relationship‑building and influence skills, with a track record of collaborating effectively across Engineering, Research, Product, and Data Science.
• Experience building or evolving processes and operating rhythms for technical teams (e.g., planning, reviews, launch processes) is a plus.

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

#LI-REMOTE

#LI-JD3

The Team: 

Pinterest Technical Program Managers are proactive owners with technical expertise. They are aligned to the highest level company priorities to support successful delivery of programs within their teams. The Platform T/PgM Team is responsible for overall program governance in Infrastructure, Infra Finance, Data Engineering and Security, as well as Compliance and managing our cloud budget.

What you’ll do: 

• As a Staff Technical Program Manager focusing on cross-engineering special projects, you will identify, scope, champion, and land key strategic projects important to advancing Pinterest’s platform and underpinning. 
• Lead Strategic ML/AI Platform Programs — Identify, scope, champion, and deliver high-impact, cross-engineering initiatives critical to advancing Pinterest's ML/AI Platform, GenAI infrastructure, and Agent Platform; owning outcomes from ambiguous opportunity through measurable execution.
• Operate with an AI-First Execution Mindset — Use GenAI as the default operating model for program execution; producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows (e.g., intake triage, status synthesis, risk and dependency tracking, action/decision extraction), and synthesizing signals to proactively surface risks, tradeoffs, and escalation paths.
• Prototype AI-Augmented Tools & Workflows — Leverage AI coding assistants to build lightweight solutions that improve decision-making and reduce friction — including dashboards, data analysis, process helpers, and internal tooling; using a "vibe coding" approach to move fast and validate value early.
• Apply Safety-by-Design AI Governance — Follow Pinterest's AI guidance for risk, governance, and compliance; appropriately handling sensitive data, validating AI-generated outputs, documenting assumptions and limitations, and ensuring AI-assisted workflows meet applicable policy and safety expectations before broad adoption.
• Drive Complex Technical Decisions Across Teams — Partner closely with technical domain owners across MLP, Agent Platform (Helix), Core Infra, and Ads to proactively identify, frame, and resolve complex cross-team technical decisions; sequencing risky elements to fail fast and reduce downstream program exposure.
• Translate Strategy into Execution — Convert strategic platform priorities into structured, milestone-driven execution plans; operating at both breadth (big picture vision) and depth (driving granular details with engineering teams) to ensure nothing falls through the cracks.
• Shape Planning & Influence Roadmaps — Serve as a thought leader to cross-functional stakeholders during annual and quarterly planning cycles; influencing product and platform roadmap decisions with data-informed perspectives and a deep understanding of organizational priorities and technical tradeoffs.
• Build Scalable Processes & Best Practices — Define, institutionalize, and continuously improve program management processes, frameworks, and tooling; elevating organizational execution capability and enabling teams to operate with greater agility, consistency, and efficiency at scale.
• Drive Cross-Functional Alignment & Communication — Build transparent, adaptive communication channels across Engineering, ML Research, Data Science, Product, Security, and Legal; ensuring stakeholders at all levels; from ICs to executives, have timely, accurate visibility into priorities, status, risks, and decisions.
• Own Program Outcomes End-to-End — Take full accountability for the success of high-impact programs, ensuring measurable delivery through rigorous planning, proactive risk mitigation, and relentless follow-through; representing program interests at the highest levels of the organization.

What we’re looking for:

• Experienced Technical Program Manager — 8+ years of TPM or related experience, with a Bachelor's degree in Computer Science or equivalent. With a proven track record of leading and delivering complex, multi-year initiatives spanning multiple engineering teams and organizations.
• AI-First Execution Mindset — Demonstrated ability to use GenAI to meaningfully accelerate program planning, operations, and stakeholder communication; starting from AI-generated drafts and applying strong judgment to validate, refine, and drive decisions rather than defaulting to manual, high-toil approaches.
• Workflow Design & AI Fluency — Experience turning repeatable program work into durable, low-toil mechanisms; including strong prompting, vibe coding lightweight scripts and tools, building dashboards, and leveraging agents to improve decision-making and operational throughput.
• Safety-by-Design AI Governance — Comfortable operating within AI governance expectations, including risk assessment, sensitive data handling, model output validation, and auditability, and proactively identifying where AI use is not appropriate or requires additional controls.
• ML/AI & Systems Domain Knowledge — Working understanding of Machine Learning, GenAI, LLM serving and inference, AI Agent architectures, DevOps, and systems engineering principles; sufficient to engage credibly with technical teams, drive meaningful tradeoffs, and identify cross-system risks.
• Strategic Vision & Entrepreneurial Leadership — Strong ability to analyze organizational context, anticipate future scenarios, and shape program roadmaps aligned to company-level strategy and OKRs, with an entrepreneurial spirit that thrives in ambiguity and builds programs from the ground up.
• Executive Influence & Thought Leadership — Demonstrated success influencing senior and executive leadership, representing program interests at the highest levels, providing well-reasoned input to critical decisions, and building trusted relationships across disciplines and organizations without relying on formal authority.
• Analytical Problem-Solving & Risk Mitigation — Strong analytical and decision-making skills with a track record of using data, innovative approaches, and structured frameworks to navigate complexity, resolve ambiguity, and mitigate program risks proactively.
• Operational Excellence at Scale — Demonstrated experience creating and driving efficient, scalable processes and best practices that increase organizational agility, with a focus on institutionalizing repeatable mechanisms that outlast individual programs and enable teams to execute with greater consistency.
• Exceptional Communication & Collaboration — Outstanding written, verbal, and interpersonal communication skills;  able to distill nuanced, technical concepts for diverse audiences, build consensus across competing perspectives, and foster an inclusive, collaborative environment that reflects Pinterest's commitment to diversity and belonging.

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

#LI-REMOTE

#LI-JD3

Millions of people around the globe look to Pinterest to find new ideas, get inspired, and create a life they love. Our mission is to help them on that journey by delivering delightful and intuitive experiences—which starts with the quality and consistency of our design foundation. We’re seeking a Staff Product Designer to join our Personalisation Patterns team: a hands-on, horizontal leader focused on systematizing quality and advocating for world-class experiences across Pinterest’s core surfaces.

You'll shape the next generation of Pinterest’s design systems and component libraries, partner with cross-functional teams, and help us deliver on our ambitious mission in an effective, scalable, and human-centered way. This is a role for a rare blend: a designer who’s part methodological systems thinker, part craft champion, and part design technologist. The impact you’ll have will stretch across teams, product lines, and the very building blocks of Pinterest.

What you’ll do:

• Drive System Quality: Lead the stewardship, evolution, and adoption of our core design patterns, component libraries, and gestalt subsystems—ensuring cohesive, delightful, and accessible user experiences at scale.
• Partner Horizontally: Act as a strategic advisor and a hands-on partner to product, engineering, and design teams across Personalisation and core surfaces, empowering them to leverage best-in-class patterns and ship with confidence.
• Advance Systemic Thinking: Apply methodical, systematic approaches to pattern creation: balancing product usability, craft, accessibility, and business needs—with input from a wide range of stakeholders.
• Prototype & Technologize: Rapidly visualize, prototype, and validate new ideas; translate abstract solutions into practical, scalable patterns using Figma, code, AI, or whatever is needed to inspire clarity and adoption.
• Uphold and Elevate Craft: Conduct quality audits, review flows and handoffs, and directly contribute hands-on design when needed—always advocating for the highest standards.
• Mentor & Scale Impact: Inspire and guide other designers in craft, systemic thinking, and best practices through critique, guidance, and sharing your expertise across teams.
• Champion Accessibility & Inclusion: Ensure our design systems support diverse user needs and raise the bar on inclusion and accessibility from the ground up.
• Communicate & Influence: Clearly articulate your design thinking, rationale, and vision—presenting work to teams, leaders, and executives, and rallying consensus.
  
  

What we’re looking for:

• 8+ years of experience in product design, with significant time spent driving or evolving design systems or pattern libraries.
• Portfolio demonstrating polished interface design, systemic thinking, component-based UIs, and tangible influence across large organizations.
• Track record in staff/principal-level roles, influencing horizontally, upholding design craft quality, and partnering cross-functionally—ideally in large-scale consumer or platform environments.
• Design technologist mindset: Comfortable experimenting with Figma prototypes, AI, and (optionally) front-end code; curious and opinionated about technical feasibility, accessibility, and how we can streamline design workflows and processes through systems and tools.
• Expert-level motion and visual design skills, with a deep understanding of principles and their impact on usability, comprehension, and overall experience quality — using animation and transitions to enhance clarity, convey emotion, and drive user engagement.
• Excellent communicator who can synthesize ambiguity into actionable design problems and unite teams through clarity, documentation, and collaboration.
• Growth mindset with a passion for ongoing learning, experimentation, and mentoring others.
• Demonstrated commitment to inclusion, accessibility, and crafting systems that serve diverse audiences.
• Please add the required language on equivalent experience or a degree in a relevant field.
• Bachelor’s degree in a relevant field such as design, or equivalent experience.
• Bonus points for:
  • Experience leading platform-wide or multi-product design system initiatives.
  • Familiarity with personalization, large consumer apps, or rapid scale environments.
  • Contributions to public design systems, open-source libraries, or industry talks/writing.
  • Join us to shape the platform and patterns that power inspiration for millions—raising the bar for design quality, system integrity, and Pinterest’s positive potential.

In-Office Requirement Statement:

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

Relocation Statement:

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

#LI-REMOTE

#LI-JD3

As a Sales Finance Business Partnering Manager, you will act as the mini-CFO for the sales divisions that you will support. You will drive goal-setting, revenue insights, forecasting and performance management. You will partner with sales leaders on ideas to improve their P&L. This includes identifying underlying trends and consulting on strategic business decisions. Your role is to translate complex data into actionable insights, which means you can focus on the details and also solve big-picture challenges. 

The Sales Finance team’s mandate is to optimize value creation for pinners, advertisers and Pinterest through disciplined business leadership and seamless financial execution. We do this by developing financial forecasts, providing decision support through analysis, generating internal reports, monitoring key performance indicators and scaling financial processes. We are looking for an expert in finance and strategy who uses an analytical, collaborative, results-oriented approach to drive progress.   

What you’ll do:

• Drive goal-setting, forecasting, revenue insights and performance management for key sales divisions. 
• Partner with the Sales and Sales Strategy & Operations teams on developing insights and trend analysis of revenue drivers.
• Leverage AI and technical expertise to execute quantitative modeling and analysis.
• Provide weekly and quarterly reporting and insights for a senior Executive Team audience.

What we’re looking for:

• Bachelor’s degree in a relevant field such as economics, business, engineering or 5+ years of experience in sales finance, investment banking, consulting or a related quantitative field.
• Well experienced with providing strategic advice to senior sales leaders.
• Exceptional spreadsheet skills with experience creating financial models and dashboards.
• Basic SQL experience is preferred but not required. 
• Experience using AI (including prompting and building agents) to optimize repetitive processes and make time for strategic thought partnership with Sales and Product.
• Excellent communication and presentation skills (Google Slides).
• Ability to multi-task and deliver against timelines.
• Entrepreneurial, flexible, and collaborative.

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 per week and therefore needs to be in a commutable distance from one of the following offices: Chicago, NYC, San Francisco.

Relocation Statement:

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

#LI-HYBRID

#LI-PW1

We’re looking for a highly adaptable Sr. Staff GenAI Content & Conversation Designer to join our Monetization design team. You’ll support projects and teams across the suite of Pinterest business products, ramping up quickly where help is needed most. You’ll collaborate with teammates in a dynamic environment, regularly tackling new design challenges.

What you’ll do:

• Lead conversation design and strategy for a multi-agent AI powered Pinterest Business Assistant to help business users (merchants, advertisers, and agencies) create inspired content, connect with customers, and achieve their business goals
• Act as the voice of the user by becoming an expert in our business products and leveraging research to inform the design of the AI assistant
• Drive improvements in prompt and skill management, owning the process from conception to production, and rapidly adapting to new technologies
• Collaborate cross-functionally with researchers, product managers, engineers, and stakeholders to establish conversational, cohesive experiences with a unified voice
• Apply systematic thinking to your work, contributing to scalable, consistent design patterns, and participating in critique to strengthen your designs
• Actively seek learning opportunities to grow your craft, define success metrics for novel AI features, and obsess over building trustworthy, high-impact AI systems
  
  

What we’re looking for:

• Bachelors degree in design, technical writing, a related field or equivalent experience
• 7+ years of experience in user-focused product conversation and content design
• Experience shaping content for multi-disciplinary projects
• Experience with LLMs, prompt shaping/engineering and working on AI product flows and with agentic systems
• A portfolio demonstrating breadth and creativity and proven experience in content design, design thinking and product strategy
• Strong experience leading multiple complex work streams
• Ability to mentor and help lead content design craft and skills especially with emerging technologies
• Passion for building accessible, inclusive, quality, safe AI products
  
  

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 1-2 times/quarter, and therefore can be situated anywhere in the country.
  
  

#LI-REMOTE

#LI-BL5

Pinterest is seeking an experienced Security Engineer to build and implement detection and response improvements and adapt to emerging threats to protect employees and infrastructure. In this role you will have the opportunity to solve challenging problems and provide a meaningful impact on our overall security posture. We are looking for a candidate with a passion for both security and innovation.

What you'll do:

• Build alerts and automation workflows to improve capabilities to detect and response to external and internal security threats
• Manage our logging pipelines and infrastructure and onboard new logging sources to improve our detection coverage
• Develop and maintain internal tooling to expand and automate team detection and response capabilities
• Respond to alerts generated from our tooling and run incidents as part of an on-call rotation
• Collaborate with cross team partners
• Hunt for previously undetected threats in our environment
• Leverage AI to streamline and enhance the efficiency, accuracy, and coverage of security engineering.

What we’re looking for:

• Bachelor’s degree in Computer Science, Cybersecurity or, a related field or equivalent experience
• Strong knowledge of intrusion detection and incident response with an engineering focus in a modern cloud first environment
• Knowledge of the attacker lifecycle, common attack and detection techniques
• Hands on experience with writing SIEM queries for alerting, response, and threat hunting
• Experience consuming threat intel and applying it to improve detection capabilities
• Familiarity with using multiple sources of telemetry for threat investigations: Eg. EDR, Osquery, Firewall logs
• Understanding of networking technologies and/or network security, basic TCP/IP network fundamentals
• Depth in ideally MacOS internals, or alternatively in Linux/UNIX or Windows internals, persistence mechanisms, privilege escalation techniques
• Scripting or automation experience (e.g., Python, Go, Ruby) for tool development or integration
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

In-Office Requirement Statement: 

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

Relocation Statement:

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

#LI-REMOTE

#LI-JT1

This role leads the long-term go-to-market strategy for our programmatic supply and inventory portfolio at Pinterest. As a senior individual contributor, you will operate independently, make strategic decisions, and guide cross-functional teams across product, revenue, partnerships, and operations. You will shape portfolio positioning, influence roadmap direction, and drive company-wide impact.

What you’ll do:

• Own the portfolio-level GTM strategy for supply and inventory across formats and deal types.
• Define durable positioning, messaging, and narrative frameworks aligned to company objectives.
• Independently lead complex, multi-quarter GTM initiatives from strategy through execution.
• Influence product roadmap, packaging, and investment decisions through market and customer insights.
• Develop commercial strategy, sales motions, and best-in-class enablement.
• Act as a trusted strategic advisor to Product, Sales, Partnerships, Operations, and Marketing.
• Mentor and elevate other PMMs through strategic guidance (without formal management).
• Ensure GTM plans align with operational realities, inventory quality, and compliance requirements.
• Represent the company externally through customers, industry events, and thought leadership.
• Apply an AI-first approach to problem-solving, research, and analysis, leveraging internal AI and agentic tooling as a default step.

What we’re looking for:

• Bachelor’s degree in Marketing, Business, Communications, or a related field or equivalent experience.
• 8+ years of experience in product marketing, go-to-market, or strategic marketing roles in ad tech or digital media.
• Deep expertise in programmatic supply-side technologies, inventory management, and marketplace dynamics.
• Proven ability to operate independently at a strategic level and drive outcomes in matrixed organizations.
• Strong track record of influencing roadmap, revenue strategy, and cross-functional execution.
• Advanced strategic thinking, executive communication skills, and strong business acumen.
• Experience mentoring peers and shaping organizational standards for GTM excellence.
• Demonstrated expertise in applying AI for data analysis and insight generation (e.g., using AI tooling to simplify and speed up data analysis)
• Strong human judgment and validation skills for AI outputs, ensuring alignment with company policy, security requirements, and maintaining standards

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

#LI-REMOTE

#LI-SH2

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.

tvScientific is looking for a Senior QA Engineer for its Web Platform with strong expertise in web and API testing. This role requires a balance of manual testing excellence and automation skills, with a focus on validating end-to-end user flows across frontend, backend services, and APIs.

You will partner closely with frontend engineers, backend engineers, product managers, and designers to ensure our web platform and APIs are reliable, secure, and performant.

What you'll do:

• Own and drive quality for web platform features, spanning UI, APIs, and backend services
• Design and execute manual test cases and exploratory testing for complex web and API workflows
• Conduct thorough regression testing when bugs are resolved.
• Build and maintain automated test suites for:
• Validate frontend–backend integration, data consistency, and error handling
• Perform API contract testing, schema validation, and negative/edge-case testing
• Collaborate with engineers during design, implementation, and code reviews to improve testability and catch issues early
• Integrate automated tests into CI/CD pipelines to provide fast, reliable feedback
• Analyze test failures, investigate root causes, and drive issues to resolution
• Advocate for quality best practices, including shift-left testing, risk-based testing, and automation strategy
• Identify, document, and track software defects using bug tracking tools like Jira. 
  
  

What we're looking for:

• Experience in QA / Quality Engineering, with a strong focus on web platforms and APIs
• Proven hands-on experience with manual testing of complex, consumer-facing web applications
• Strong experience building and maintaining API tests using tools such as Postman, REST-assured, Supertest, or similar
• Hands-on experience with web automation frameworks (Playwright, Cypress)
• Solid understanding of HTTP, REST and API design principles
• Proficiency in at least one programming or scripting language (JavaScript, TypeScript)
• Experience working in Agile/Scrum environments
• Strong debugging, analytical, and communication skills
• Strategic partnership with stakeholders / Cross-functional collaboration that is high-trust and high-velocity
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
• Nice-to-Haves:
  • Experience testing large-scale, high-traffic web platforms
  • Familiarity with React or modern frontend frameworks
  • Experience with performance, load, or reliability testing for APIs and web applications
  • Exposure to feature flags, experimentation platforms, or observability tools

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

About tvScientific

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

We are seeking a Staff Data Engineer to lead the design, implementation, and evolution of our identity services and data governance platform. This role is critical to ensuring trusted, privacy-safe, and well-governed data across the organization. You will work at the intersection of data engineering, identity resolution, privacy, and platform reliability. 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:

• Design and maintain a scalable identity resolution platform
• Build pipelines and services to ingest, normalize, link, and version identity data across multiple sources
• Ensure deterministic and probabilistic matching logic that is transparent, auditable, and measurable
• Partner with product and analytics teams to expose identity data through reliable, well-documented APIs and datasets
• Build and operate batch and streaming pipelines using modern data stack tools
• Create clear documentation, standards, and runbooks for identity and governance systems
• Own data governance foundations including data lineage, quality checks, schema enforcement, and access controls
• Implement privacy-by-design principles (PII handling, consent enforcement, retention policies)
• Collaborate with legal, privacy, and security teams to operationalize regulatory requirements (e.g., GDPR, CCPA)
• Establish monitoring and alerting for data quality, freshness, and integrity

What we're looking for:

• Production data engineering experience
• Bachelor’s degree in computer science, related field or equivalent 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
• 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 lakes, cloud warehouses, and storage formats
• Strong proficiency in AWS services
• Excellent written and verbal communication skills
• Successful design and implementation of scalable and efficient data infrastructure
• High attention to detail in implementation of automated data quality checks
• Effective collaboration with cross-functional teams
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables 

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

About tvScientific

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

We are looking for an experienced ML Platform Engineer to join a team at the intersection of sysops, systems programming, architecture, and large-scale deployments. Our platform underpins tvScientific’s distributed real-time bidding agent and ML training system that together drive $100M+ in annual revenue, giving you the opportunity to work on some of the most business-critical infrastructure in the company.

As part of our team, you’ll think about datasets in terms of bytes, microseconds, and serialization formats, and help define the next generation of our training and serving stack. A flagship initiative for the coming year is building a Kubernetes + Ray backend for our model training pipelines, setting a new bar for scale and reliability. If topics like data locality, observability and anomaly detection, distributed databases, high-performance computing, array programming languages, data security, and reproducibility excite you (even if it’s just a subset), your expertise could play a key role in shaping tvScientific’s ML innovation in 2026 and beyond.

What You'll Do

• Scale the decisionmaking process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments
• Improve the developer experience for the data science team
• Upgrade our observability tooling
• Serve as a technical lead and mentor to the team
• Make every deployment smooth as our infrastructure evolves.

What We're Looking For

• Deep understanding of Linux
• Excellent writing skills
• A systems-oriented mindset
• Experience in high-performance software (RTB, HFT, etc.)
• Software engineering experience + reliability (e.g. CI/CD) expertise
• Strong observability instincts
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
• Nice-To-Haves
  • Reverse-engineering experience
  • Terraform, EKS, or MLOps experience
  • Python, Scala, or Zig experience
  • NixOS experience
  • Adtech or CTV experience
  • Experience deploying a distributed system across multiple clouds
  • Experience in hard real-time low-latency (<10 ms) environments

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

We are looking for a passionate and strategic Senior Product Manager, Growth - Performance Marketing to lead one of our most important acquisition channels on the Growth team. Each month, the Growth team helps over 600M people around the world find their inspiration on Pinterest. You’ll fully own the vision, strategy and execution for Pinterest’s paid growth channels, driving efficient and scalable user acquisition. 

Reporting to the Group Product Manager (Growth Acquisition), you’ll lead high-impact initiatives from ideation through delivery. You’ll partner closely with Engineering, Data Science and Marketing to build and ship a roadmap of bold changes in service of creating a best-in-class user experience for current and future Pinners. You’ll tackle challenging, complex problems at scale and your work will help bring the inspiration and joy of Pinterest to more people around the world, more efficiently than ever before.

What you’ll do:

• Lead the product vision, strategy, and execution for performance marketing, owning outcomes for scalable, efficient growth across paid channels.
• Drive clarity, alignment, and prioritization across a broad cross‑functional team in an ambiguous, complex product area with substantial impact on top‑line growth. Influence senior stakeholders and contribute to long-term strategy for acquisition.
• Partner closely with Marketing, Engineering, and Data Science to build and evolve the core systems, experimentation, measurement infrastructure, and optimization tools that improve how we plan, execute, and scale paid marketing.
• Leverage strong analytical skills to dig into data, identify the highest‑impact opportunities in the paid marketing lifecycle, and help the organization make better, faster, and more confident investment decisions.

What we’re looking for:

• Demonstrated success in product management at fast-growing companies.
• Strong technical background (or prior work experience as a software engineer/data scientist) that lets you dive deep into data and complex technical problems alongside your engineering team.
• Working knowledge of performance marketing mechanics (e.g., attribution, incrementality testing, bidding and budgeting, targeting, and funnel measurement).
• Strong analytical skills to define product strategy and drive decision making.
• Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication.
• Prior experience with machine learning, recommendation systems, or generative AI a plus.
• 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.

#LI-REMOTE
#LI-REX

The Team

Pinterest is transforming software engineering for the AI-native era. We’re evolving how engineers build, review, validate, deploy, and operate software by combining best-in-class AI tooling with strong technical standards and scalable operating mechanisms. Our AI Native Software Engineering effort is focused first on making software engineering across Pinterest’s mono-repos, AI native while accelerating existing productivity investments.

What you’ll do:

• Use GenAI as the default operating model for EP PgM execution—producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows into AI-first mechanisms (e.g., intake triage, status synthesis, action/decision extraction, risk & dependency tracking), and synthesizing signals to proactively surface risks, decision/trade-offs, and escalation paths.
• Prototype solutions to augment decisions through data (e.g. dashboards, data analysis) or simplify processes (e.g. process and workflow helpers, or internal tools) using AI coding assistants (“vibe coding”).
• Follow Pinterest AI guidance for risk, governance, and safety-by-design: appropriately handle sensitive data, validate AI-generated outputs, document assumptions/limits, and ensure AI-assisted workflows meet applicable policy/compliance expectations before broad adoption.
• Lead company-wide programs that improve developer productivity through AI-assisted coding, validation, code review, and deployment safety.
• Drive the roadmap and operating model for AI-native engineering practices across Pinterest.
• Independently lead complex technical programs across Ads and Core Infrastructure, partnering with engineering teams to drive planning, execution, and delivery.
• Coordinate work across multiple teams and stakeholders, ensuring clarity on ownership, milestones, risks, and technical dependencies.
• Help drive programs that improve the reliability, scalability, efficiency, and developer productivity of Ads and Core Infrastructure systems. 
• Build dashboards, reporting, and operating mechanisms that provide visibility into progress, risks, outcomes, and execution health.  
• Partner closely with engineering, TPMs, and business stakeholders to surface tradeoffs, unblock teams, and keep critical programs moving.
• Contribute to roadmap planning, process improvements, and scalable execution practices across a varied technical portfolio. Flex across a range of platform and infrastructure priorities as business needs evolve, while maintaining strong ownership of your primary programs.  

What we’re looking for:

• AI-first execution mindset: demonstrated ability to use GenAI to accelerate planning, program operations, and stakeholder communications—starting with AI drafts and applying strong judgment to validate, refine, and drive decisions.  
• Workflow design, AI fluency, data & insights orientation: experience turning repeatable program work into durable, low-toil mechanisms and improving decision-making by using GenAI (e.g., strong prompting, vibe coding lightweight scripts/tools, dashboards, data analysis and leveraging agents where appropriate)
• Safety-by-design AI fluency: experience operating within AI governance expectations (risk assessment, data handling, model/output validation, auditability/traceability) and proactively identifying where AI use is not appropriate or requires additional controls.
• 3+ years of experience managing complex, cross-functional technical programs in infrastructure, platform, backend, or ads-related environments.
• Strong technical program management fundamentals, including roadmap planning, dependency management, risk tracking, issue resolution, and execution at scale. 
• Strong communication and collaboration skills, with the ability to work effectively across engineering and business stakeholders in high-visibility settings. 
• Strong analytical and problem-solving skills, including experience using metrics, dashboards, and data to drive decision-making. 
• Technical fluency in infrastructure and platform concepts such as distributed systems, service dependencies, reliability, APIs, automation, cloud infrastructure, or developer tooling. The uploaded kits repeatedly emphasize technical breadth and judgment rather than coding depth. 
• Comfort operating in ambiguous environments, setting structure, and driving alignment across teams with competing priorities. This is called out across both kits’ evaluation criteria and interview plans.

This is a rare opportunity to help define how software gets built at Pinterest in the AI era. You’ll shape the systems, standards, and adoption strategy that enable engineers to move faster with confidence, and your work will directly influence long-term engineering effectiveness across the company.

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

#LI-REMOTE

#LI-JD3

Are you passionate about applying GenAI to improve efficiency and accelerate business execution—grounded in strong data foundations? Join Pinterest’s IT Enterprise Systems team to build analytics engineering and GenAI capabilities that power our go-to-market and corporate operations. You’ll create trusted data models and pipelines across core enterprise platforms and layer in LLM-enabled workflows with clear evaluation, observability, and guardrails.

 What you'll do:

• Build production-grade GenAI-enabled analytics solutions that integrate enterprise data sources (e.g., Salesforce, Gong, Oracle, IBM Planning Analytics, and other SaaS platforms).
• Establish end-to-end LLM pipelines (retrieval/orchestration) with evaluation frameworks, observability, and validation guardrails to ensure reliability and safety.
• Lead technical scoping for GenAI use cases, assessing feasibility, accuracy expectations, risk, and ROI—then translating into clear technical plans.
• Design and own analytics-ready data models, including dimensional modeling (star schemas, fact/dimension tables, SCD Type 2) that support reporting, forecasting, and downstream applications.
• Develop and maintain robust data pipelines and orchestration (Airflow and/or dbt or similar), including data quality checks, SLAs, monitoring, and failure recovery.
• Write and optimize complex SQL for transformation and analysis across enterprise datasets (joins, window functions, CTEs, performance tuning).
• Partner closely with business stakeholders, turning ambiguous questions into well-scoped requirements, success metrics, and deliverables; communicate tradeoffs and constraints clearly.
• Use AI tools to accelerate development responsibly (e.g., drafting SQL/Python, iterating on prompts, summarizing findings), while applying rigorous testing and verification.
• Define best practices for GenAI in analytics engineering, including prompt patterns for analytics tasks, model selection, and cost/latency optimization.

 What we're looking for:

• 8+ years in analytics engineering, data engineering, data science, or related roles (or equivalent experience).
• Bachelor’s degree in Computer Science, Statistics, Data Science, Mathematics, or a related field (or equivalent experience).
• Strong understanding of LLM fundamentals and practical tradeoffs, including:
• Capabilities, limitations and common failure modes.
• Tokenization, context windows, latency/cost considerations.
• RAG vs. fine-tuning vs. prompting/tools for use cases.
• Expert SQL skills (complex joins, window functions, CTEs, query optimization).
• Hands-on experience with dimensional modeling (star schemas, SCD Type 2) and workflow orchestration tools such as Airflow, dbt.
• Demonstrated ability to validate AI-assisted output. 
• High integrity and ownership to handle sensitive enterprise data appropriately and remain accountable for final outputs.
• Strong stakeholder communication with the  ability to explain technical constraints to non-technical partners.
• Experience with GenAI coding tools (e.g., Cursor, Claude Code) to accelerate development while maintaining code quality and maintainability.

Relocation 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.

In-Office Requirement Statement:

• This role will need to be in the office for in-person collaboration 1-2 times/quarter every 6-months and therefore can be situated anywhere in the country.
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-NM4

#LI-REMOTE

As a Senior Product Manager for Enforcement Systems within Trust & Safety, you'll own the product strategy for the infrastructure that powers how Pinterest detects, reviews, and acts on unsafe content at scale. You'll lead the development of AI-native automation frameworks using LLMs and VLMs to transform enforcement decisioning, while ensuring every automated action accurately reflects policy intent. Partnering deeply with engineering, operations, policy, and content safety, you'll drive a platform that is expanding beyond T&S into monetization, shopping, and other domains across the company.

What you'll do:

• Own and drive the Enforcement Systems product roadmap, including enforcement actioning, fanout infrastructure, strike systems, and compliance consolidation
• Define and scale the automation strategy for enforcement decisions through the Auto-Action Framework — a domain-agnostic system designed to automate content moderation using LLMs and VLMs
• Lead cross-functional initiatives across Policy, Operations, Content Safety, and Engineering as the DRI for enforcement platform decisions
• Translate policy intent into enforceable systems, ensuring automation accuracy matches what policy teams intended before scaling
• Triage and prioritize inbound requests against roadmap commitments, balancing platform leverage with real-world operational needs
  
  

What we're looking for:

• 5+ years product management experience
• Experience in trust & safety, fraud/risk, content moderation, compliance, or a similar enforcement-oriented domain
• Demonstrated experience with large-scale systems — comfortable reasoning about pipelines, distributed infrastructure, and automation at high throughput
• Experience building or managing AI/ML-powered products (LLMs, VLMs, or similar)
• SQL proficiency — able to self-serve data investigation and analysis
• Strong cross-functional leadership — proven ability to drive decisions across engineering, operations, and policy stakeholders
• Excellent written and verbal communication of complex technical and policy concepts
• Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience

Our PinFlex future of work philosophy requires this role to visit a Pinterest office for collaboration approximately 2x per year. For employees not located within a commutable distance from this in-office touchpoint, Pinterest will cover T&E. Learn more about PinFlex here.

Relocation Statement:

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

#LI-REMOTE
#LI-REX

Pinterest runs on AI, and our AI governance and compliance program ensures that AI is developed, deployed, and used in ways that align with evolving legal requirements, Pinterest’s values, and our long‑term strategy. As the Principal Product Manager, AI Compliance, you’ll define and drive the product strategy that ensures our Pinner and Advertiser facing artificial intelligence models are  developed, deployed, and used in a way that are aligned with our values, strategic objectives, and account for relevant obligations. You’ll shape how Pinterest uses data, models, and tooling to innovate quickly and responsibly.

What you’ll do:

• Drive AI compliance and governance product strategy across Pinner- and advertiser-facing AI products, ensuring that model training and inference align with global regulatory obligations, internal policies, and Pinterest’s values.
• Own user-facing and internal data controls for AI training (e.g., AI data opt-out mechanisms), setting requirements and roadmaps that balance product performance, privacy, and regulatory needs while ensuring effective internal enforcement and awareness.
• Expand and support AI compliance tooling—from detection and labeling systems (such as watermarking and provenance) to governance workflows and inventories—so teams across Pinterest can build compliant AI experiences efficiently and consistently.
• Partner deeply with Legal, Privacy, Policy, Security, and Engineering to translate complex regulatory requirements into clear, prioritized product workstreams and scalable platform capabilities.
• Lead high-visibility, cross-functional programs that span multiple product areas, infrastructure, and engineering teams, creating alignment on tradeoffs, sequencing, and resourcing for AI governance initiatives across the company.
• Serve as a principal-level thought partner on AI governance, influencing long-range AI product strategy, identifying new risk or compliance gaps early, and advocating for the infrastructure and processes needed to keep Pinterest ahead of regulatory change.
  
  

What we’re looking for:

• Deep AI/ML or data platform product experience, including building or scaling products that rely on model training data, user data, or complex backend systems; experience in AI safety, responsible AI, or AI compliance is a strong plus.
• Proven success driving cross-company, multi-year programs at a Staff/Principal level (or equivalent), especially in ambiguous problem spaces that require both strategic frameworks and hands-on execution.
• Experience working closely with Legal, Privacy, Policy, and Security teams to operationalize regulatory or policy requirements into product features, data controls, and platform capabilities.
• Fluency with data and governance concepts—comfortable reasoning about data classification, lineage, retention, opt-outs, and enforcement, and partnering with technical teams to define robust measurement and monitoring.
• Track record of building or scaling compliance or governance tooling, such as policy engines, inventories/registries, detection or labeling systems, approval workflows, or audit and reporting capabilities.
• Exceptional communication and influence skills, with the ability to align executive stakeholders and cross-functional partners around a clear point of view on AI risk, compliance tradeoffs, and sequencing.
• Comfort operating in fast-changing regulatory and technical environments, with a bias toward pragmatic, principle-driven solutions that protect users and the business while enabling innovation.
• Ability to lead and operate in highly ambiguous environments and execute with urgency.
• 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.
  
  

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 periodically (for example, 1–2 times per quarter) and therefore can be situated anywhere in the country.

#LI-REMOTE
#LI-REX

Summary:

As the Vice President, Ads Quality Engineering, you will spearhead our AIML engineering division, dedicated to leveraging data machine learning innovations, and the vanguard of AI to enhance Pinterest's ads delivery funnel. Possessing robust analytical skills, a deep understanding of machine learning and generative AI, online auction dynamics, and previous experience leading substantial engineering teams, you will push the boundaries of current AIML applications, multi-party marketplace behavior, and auction theory. Your efforts will be crucial in maximizing Pinterest's monetization opportunities.

This pivotal role grants you the autonomy to collaborate extensively across the organization, aligning interests and strategies among pinners, content creators, and advertisers in our distinct marketplace. Your leadership will be instrumental in shaping advanced ML solutions that not only define industry standards but also drive substantial business impact.

What you’ll do:

• Oversee a globally distributed  team of 200+ AI/ML engineers tasked with harnessing data-driven insights and developing solutions to bolster Pinterest’s monetization efforts.
• Provide both technical and organizational leadership to scale the team in response to evolving business demands.
• Manage and develop senior leadership within the team, including managers of managers and principal AI/ML experts, ensuring growth and continuous improvement at all levels.
• Partner closely with engineering and product leadership to shape and drive the execution of Pinterest's monetization strategy.
• Foster strong cross-functional (XFN) collaborations across multiple departments, including Sales, Business Operations, Data Engineering, and Core Services, to ensure cohesive efforts and optimal outcomes in monetization strategies.

What we’re looking for:

• An MSc or PhD degree in Economics, Statistics, Computer Science, or a related field.
• A minimum of 15 years of relevant industry experience, demonstrating a depth of technical proficiency and leadership.
• At least 10 years of experience in managerial roles, with a proven track record of effective team leadership and development.
• Exceptional cross-functional (XFN) collaboration skills and a strong capability in communication, crucial for liaising seamlessly across departments.
• A natural bridge-builder, skilled in fostering alignment and driving strategic initiatives within the engineering and product organization at Pinterest.
• Hands-on experience in designing and deploying large-scale machine learning systems, with a preference for those possessing specific expertise in the Advertising domain.
• Strong analytical abilities, underpinned by a solid foundation in mathematical and statistical models, enabling sophisticated problem-solving and innovation.

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 once or twice a week and therefore needs to be in a commutable distance from one of the following offices: Palo Alto, San Francisco, Seattle, or Los Angeles.

#LI-HYBRID

#LI-RR4

As a Sr. Client Partner at Pinterest, you will develop and grow relationships with some of our most strategic and largest advertisers in Tech & Telco. Your primary responsibilities include meeting performance targets, developing new business, maintaining and expanding customer relationships, and resolving specific customer issues. By guiding clients’ efforts, you'll drive value for millions of Pinners seeking inspiration and action, forming strategic alliances both internally and externally. Success in this role depends on your ability to drive substantial revenue growth and spearhead a vision for long-term client success.

What you'll do:

• Retain and grow partner relationships, ultimately driving Pinterest revenue.
• Build strong relationships with clients, agencies, C-suite, and key stakeholders both internally and externally.
• Demonstrate leadership and a deep understanding of client business goals and industry trends.
• Develop tailored media strategies to drive adoption of Pinterest ads.
• Position Pinterest as a key platform by highlighting ad performance and impact.
• Identify and communicate new growth opportunities to expand client partnerships.

What we are looking for

• 7+ years of proven experience building long-term partnerships and successful negotiations.
• Experience working with executive-level business and marketing leaders.
• Analytical thinker, skilled at turning data and trends into clear strategies for growth.
• Track record of meeting revenue goals and fostering ongoing partnership growth.
• Success working in fast-paced, collaborative, and high-performance environments.
• AI Enthusiast: Demonstrates curiosity and a willingness to explore AI tools to improve day-to-day productivity, including campaign setup, performance reporting, client communications, and research. Leverages AI to work more efficiently, whether it's streamlining optimizations, preparing for client meetings, or surfacing insights from campaign data, while maintaining attention to detail and a high bar for accuracy.
• Bachelor’s degree in Digital Media, SaaS Sales, or related field, or equivalent experience.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 2 times per week and therefore needs to be in a commutable distance from our New York, NY office.

Relocation Statement:

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

#LI-HYBRID 

#LI-AS5

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 a Senior Account Manager, where you'll lead strategic client relationships, drive revenue growth, and ensure client success on our cutting-edge platform.

As a Senior 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.

What you'll do:

• Lead and manage a portfolio of key client accounts, spanning various industries including retail, leisure, and tech-adjacent sectors.
• Launch, serve, and optimize campaigns for clients, ensuring maximum ROI and campaign success.
• Proactively pick up the phone and engage in meaningful conversations with customers and agencies about digital media, including CTV advertising.
• Develop and execute strategic account plans to drive revenue growth, retention, and expansion opportunities within existing client accounts.
• Identify and capitalize on upsell and cross-sell opportunities, leveraging your digital media and advertising experience to maximize revenue potential.
• Collaborate closely with internal teams, including sales, product, and support, to ensure seamless execution of client campaigns and initiatives.
• Monitor and analyze campaign performance metrics, providing insights and recommendations to optimize client campaigns and drive superior results.
• Act as a trusted advisor to clients, providing expert guidance, industry insights, and best practices to help them achieve their advertising objectives.
• Stay informed about industry trends, market dynamics, and competitive landscape to anticipate client needs and proactively address challenges.
• Provide mentorship and support to junior account management team members.
• Use AI to speed up optimizations: Leverage AI tools to quickly spot performance drivers and issues (e.g., ROAS trends, creative fatigue, pacing) and turn them into clear optimization actions for clients.

What we're looking for:

• Extensive experience (5+ years) in sales or account management in the digital advertising or performance marketing industry.
• 1+ years management experience and proven track record of managing a world-class sales or account management team, including forecasting experience and achieving or exceeding revenue goals.
• Strong understanding of the digital media and advertising landscape, with experience talking to customers and agencies about digital media, including CTV advertising.
• Experience with digital media platforms, MMPs, or supporting tools, working with major agencies.
• Strong comfortability with data, with the ability to analyze campaign performance metrics and provide actionable insights.
• Curious mindset with a propensity to ask a lot of questions and seek opportunities for growth.
• Exceptional communication and interpersonal skills, with the ability to build rapport, influence stakeholders, and navigate complex client relationships.
• Comfortable picking up the phone and engaging in conversations with customers and agencies about digital media.
• Strategic thinker with the ability to develop and execute account plans, identify opportunities, and drive initiatives to achieve business objectives.
• Results-driven and customer-focused, with a passion for delivering exceptional service and value to clients.
• AI-first, data-driven workflow: Comfortable using AI to accelerate analysis, forecasting, and client reporting while validating outputs against source-of-truth campaign and MMP data.
• Bachelor's degree in business, marketing, advertising, or related field.
• You May Also Have
• 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:

• 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-REMOTE

#LI-LP1

The Team

Pinterest is a visual discovery platform where people go from inspiration to action, the Infra Governance space plays a foundational role: it helps ensure Pinterest’s infrastructure strategy can scale with product demand while remaining disciplined on cost, capacity, and long-term platform health. What is especially exciting about this team is the mix of technical strategy, planning rigor, and business impact—it sits close to infrastructure and platform engineering, close to Product execution, and close to the investment decisions that determine where Pinterest scales next. It is also an unusually strong fit for a senior IC TPM who wants to build governance mechanisms, improve transparency into where infrastructure and AI investment is going, and redesign high-toil operating workflows with AI-first methods. The TPM interview framework reinforces that this kind of role is about ambiguity handling, XFN influence, technical judgment, and mechanism-building at scale.

What you’ll do:

• Partner with Product and Engineering to translate infrastructure strategy into executable multi-quarter programs, with clear scope, sequencing, dependencies, governance forums, and measurable outcomes across the Infra Governance portfolio.
• Lead capacity planning as a core operating motion: connect product demand, infrastructure supply, growth assumptions, and technical constraints into a durable planning cadence that enables earlier, better investment decisions.
• Own budgeting, forecasting, and variance analysis for infrastructure governance programs, building clear visibility into where investment is going today, where it is expected to go next, and what is driving movement versus plan.
• Develop financial models, cost models, and scenario-planning frameworks that translate technical choices into business impact and support explicit trade-off discussions across capacity, cost, reliability, performance, and speed.
• Build an investment transparency matrix for infrastructure and AI spend, including ownership, allocation, utilization, forecast, actuals, and decision points, so leadership can quickly understand where resources are being consumed and where intervention is needed.
• Establish governance for AI token utilization and allocation, including forecasting demand, tracking usage, improving transparency, and helping teams understand the financial implications of model and token consumption choices.
• Operationalize durable mechanisms for budgeting reviews, forecast updates, variance investigations, anomaly management, and optimization follow-through in partnership with Product, Engineering, Finance, Security, and Data.
• Lead trade-off discussions that improve decision quality: synthesize technical inputs, business priorities, and financial signals into clear options, recommendations, and escalation-ready decisions.
• Build the governance layer for execution: run portfolio reviews, dependency management, roadmap health reviews, planning checkpoints, and executive updates that keep large cross-functional programs aligned and on track.
• Identify high-leverage opportunities to automate operational toil, especially in recurring workflows like status synthesis, planning reviews, dependency tracking, intake triage, forecast reconciliation, and action/decision capture.
• Build AI-assisted frameworks, lightweight models, and workflow automations that improve decision-making, including dashboards, scenario tools, cost-model templates, token-usage views, and planning helpers that increase signal while reducing manual overhead.
• Use GenAI as the default operating model for EP PgM execution—producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows into AI-first mechanisms (e.g., intake triage, status synthesis, action/decision extraction, risk & dependency tracking), and synthesizing signals to proactively surface risks, decision/trade-offs, and escalation paths.
• Prototype solutions to augment decisions through data (e.g. dashboards, data analysis) or simplify processes (e.g. process and workflow helpers, or internal tools) using AI coding assistants (“vibe coding”).
• Follow Pinterest AI guidance for risk, governance, and safety-by-design: appropriately handle sensitive data, validate AI-generated outputs, document assumptions/limits, and ensure AI-assisted workflows meet applicable policy/compliance expectations before broad adoption.

What we’re looking for:

• 8+ years of Technical leadership experience owning large, ambiguous, cross-functional programs with senior stakeholder visibility and durable business impact.
• Strong experience in infrastructure, platform, cloud economics, or adjacent environments where capacity, cost, performance be managed together.
• Proven ability to translate strategy into executable programs: turning broad technical goals into roadmaps, governance mechanisms, planning cadences, and measurable outcomes.
• Demonstrated strength in capacity planning, budgeting, forecasting, variation planning in environments with meaningful scale and complexity.
• Strong financial modeling and cost modeling skills: able to build simple, credible models, pressure-test assumptions, and use data to guide prioritization and trade-off discussions.
• Experience building transparency mechanisms for investment and utilization, including understanding where infrastructure or AI spend is going, where it is expected to go, and how ownership and allocation should work.
• Strong technical breadth and judgment: able to partner effectively with engineering teams, drive clarity around requirements, and facilitate technical trade-offs without relying on coding depth; this is directly aligned to the technical breadth and judgment expectations in the interview guidance.
• Excellent cross-functional collaboration and executive communication: able to align teams with conflicting priorities, communicate clearly upward, and influence without direct authority; this is directly aligned to the XFN collaboration and communication expectations in the interview loop.
• Experience building durable mechanisms rather than just managing tasks: governance processes, planning systems, dashboards, review cadences, and decision frameworks that scale across teams.
• Workflow design, AI fluency, data & insights orientation: experience turning repeatable program work into durable, low-toil mechanisms and improving decision-making by using GenAI (e.g., strong prompting, vibe coding lightweight scripts/tools, dashboards, data analysis and leveraging agents where appropriate)
• Safety-by-design AI fluency: experience operating within AI governance expectations (risk assessment, data handling, model/output validation, auditability/traceability) and proactively identifying where AI use is not appropriate or requires additional controls.
• Preferred qualifications:
  • FinOps and investment transparency experience: Experience applying FinOps-style operating principles to infrastructure or AI spend, including allocation, forecasting, reporting, optimization, and building transparency matrices that clarify ownership, utilization, and investment decisions.
  • Executive influence across senior leadership: Experience influencing directors, VPs, or executive leadership by presenting current state, risks, proposals, and informed trade-offs clearly and concisely, which is explicitly called out in the IC16 collaboration and influence expectations.
  • Durable mechanism building: Experience creating best practices, tools, methodologies, dashboards, governance reviews, and operatinge across teams rather than managing one-off projects. The IC16 rubric explicitly calls for creating best practices, tools, and methodologies for the org.
  • Deep domain expertise in infrastructure, cloud, or AI platforms: Advanced understanding of domain concepts, emerging technologies, and related functions product, or data, consistent with the Staff TPM expectations for strong domain knowledge and the ability to apply it to positive program outcomes.
  • Mentorship and force multiplication: Experience mentoring other program managers or cross-functional partners and scaling impact through others while leading strategic progrevels of leadership. This is part of the IC16 expectation set for influence, leadership, and domain depth.

Why Pinterest

This is a high-leverage role at the intersection of engineering execution, financial stewardship, and strategic decision-making. You’ll work on foundational programs that shape how Pinterest scales infrastructure, improves accountability, and turns technical investment into business value. If you enjoy ambiguous problems, senior stakeholder partnership, and building durable systems that help organizations operate better, this role offers wide scope and meaningful impact.

Join us and help shape the future of Pinterest’s infrastructure!

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

#LI-REMOTE

#LI-JD3

We’re hiring a Staff Software Engineer for Merchants & Ads Review.

This team is responsible for keeping our platform safe from malicious advertisers, low-quality merchants, and policy violating ads, while helping the business grow revenue and expand to new markets, verticals, policies, and ad types.

In this role, you’ll lead our AI-first efforts, building and evolving our review systems. You’ll partner closely with Engineering Managers, Product Managers, and experts from Policy, Legal, and Trust & Safety to drive our systems forward. You act as a mentor to the rest of the team, helping them grow their careers and accelerate their velocity with AI tooling. This is a high agency, high impact role with a broad scope and direct levers on both revenue and platform safety.

What you’ll do: 

• Own end-to-end technical delivery for cross-team initiatives—from problem framing and technical strategy through architecture, implementation, rollout, and iteration.
• Build and evolve ML-, GenAI-, and AI-assisted merchant, ad, and advertiser review experiences with strong validation and guardrails.
• Mentor junior and senior engineers and raise the bar for technical design, engineering quality, and production readiness across the team.
• Partner with cross-functional stakeholders on a variety of projects to improve the safety of our platform, increase efficiency, reduce time to spend, and generate revenue
• Use AI to accelerate your own work—across exploration, drafting, analysis, and synthesis—while maintaining strong judgment, rigorous validation, and accountability for outcomes.

What we’re looking for:

• 8+ years of software engineering experience, including meaningful time as a Staff, Senior Staff, or equivalent-level IC building and operating complex production systems.
• Strong track record in ads, commerce, trust & safety, or GenAI.
• Deep experience in systems design, full-stack software engineering, and data-intensive systems, with the ability to navigate tradeoffs in performance, reliability, and scalability.
• Experience building or partnering on ML-, AI-, or GenAI-adjacent systems, with a pragmatic understanding of where these technologies add value and how to deploy them responsibly.
• Strong communication skills and the ability to influence technical direction without directly owning every implementation detail.
• Demonstrated experience building and enhancing cross-functional partnerships with other teams and organizations.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field—or equivalent practical 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 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 times per week and therefore needs to be in a commutable distance from one of the following offices SF/Palo Alto Office.

#LI-HYBRID 

#LI-KBF

Team & Mission

The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, fine‑grained access controls, centralized privacy rules enforcement, and de‑identification pipelines for conversion data. Our mission is to make conversion data privacy‑preserving by default—centralized, de‑identified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.

Role Summary

We’re seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and de‑identification for ads reporting. You’ll own the end‑to‑end design and evolution of privacy‑critical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.

What you’ll do:

• Lead the technical strategy and architecture for conversion data privacy across access controls, de‑identification, deletion, and privacy rules enforcement, driving toward a centralized, de‑identified‑by‑default, automated privacy platform for monetization.
• Design and evolve core privacy infrastructure including controlled environments for sensitive data, fine‑grained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
• Own de‑identification pipelines for ads reporting end‑to‑end—from separating sensitive and non‑sensitive data, applying de‑identification techniques and transformations, and generating privacy‑preserving datasets, to validating data utility and feeding reporting and analytics surfaces.
• Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and self‑service for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
• Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., de‑identification quality, opt‑out metrics, data leakages), leading incident response, and developing performant deletion and leakage‑handling workflows that meet regulatory and audit requirements.
• Partner cross‑functionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear trade‑offs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
• Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacy‑sensitive areas, and establish best practices and documentation for privacy‑by‑design, de‑identification, and large‑scale data systems.

What we’re looking for:

• BS+ in Computer Science (or related field) or equivalent practical experience.
• 8+ years of professional software engineering experience, with a focus on large‑scale data systems or distributed systems.
• Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
• Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
• Meaningful experience in at least one of: privacy‑preserving data systems (e.g., de‑identification, k‑anonymity), ads measurement/attribution, or large‑scale analytics/experimentation platforms.
• Proven ability to drive cross‑team technical initiatives from design through rollout, working closely with product, data science, and non‑engineering partners (e.g., Legal, Compliance).
• Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, high‑impact problem spaces.

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-REMOTE

#LI-KK6

Team & Mission

The Measurement Products team helps advertisers measure the incremental impact of their Pinterest campaigns and make informed investment decisions. We own and operate core measurement products including Pinterest Conversion Lift (PCL) Studies and Brand Lift Studies.

We build the platform these products run on and are evolving it into our next‑gen Measurement Hub, an extensible platform that enables faster product iteration, onboarding of new study types, and deeper integration with Pinterest’s enterprise data and experimentation systems. Our mission is to measure true incremental impact and translate it into actionable insights for advertisers and partners.

Role Summary

We’re seeking a Staff Engineer to lead the architecture and technical direction of the measurement platform behind how advertisers understand the impact of their investment on Pinterest. You’ll drive end‑to‑end platform evolution (pipelines, services, correctness, reliability), partner closely with Product and Data Science, and raise the bar on rigor, trust, and operational excellence in ads measurement.

What you’ll do: 

• Own end‑to‑end architecture and delivery of features for lift measurement products, from design and implementation through rollout and ongoing reliability.
• Design, build, and optimize large‑scale data pipelines that power study setup, experiment execution, and results computation.
• Drive AI enablement across the team by building the supporting tooling and processes (CI checks, test strategy, templates), coaching engineers, and ensuring adoption results in sustained improvements to delivery speed and system quality.
• Translate measurement methodology into production systems: partner with Data Science to operationalize study design requirements into pipelines, services, tooling, and guardrails.
• Build “rigor by default” mechanisms: automated data validation, randomization/holdout integrity checks, imbalance diagnostics, and continuous verification/backtesting.
• Raise the bar on data quality and trust: define SLAs, build monitoring and anomaly detection, and lead root‑cause analysis for pipeline and study issues.
• Mentor and up level engineers, driving strong technical execution and cross‑functional collaboration.

What we’re looking for:

• BS+ in Computer Science (or related field) or equivalent practical experience.
• 8+ years of professional software engineering experience, with a focus on data‑intensive systems.
• Strong proficiency building and operating large‑scale data pipelines (batch and/or streaming) using Java/Scala/Kotlin or Python, plus SQL.
• Experience designing reliable services and APIs, with solid foundations in distributed systems, data modeling, and performance optimization.
• Demonstrated ability to transform a team’s engineering workflow using AI—from pilot to broad adoption—through tooling, enablement, and change leadership, with clear metrics (cycle time, defect rate, on-call load, incident rate).
• Experience in AdTech and measurement products (e.g., conversion lift, brand lift) or adjacent experimentation/analytics platforms.
• Working knowledge of experimentation and causal measurement fundamentals (randomization, holdouts, confounders, significance, power).
• Practical experience with backtesting, controlled rollouts, and continuous verification for correctness in measurement/analytics systems.
• Demonstrated ability to lead large cross‑functional initiatives, drive alignment, and deliver measurable impact through technical leadership.

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-REMOTE

#LI-KK6

As a Staff Engineer on the Activation team, you'll drive the technical strategy and execution for backend systems that power Pinterest's new and returning user experience. This is a high-impact role in a growth engineering org focused on helping users find value on Pinterest quickly, identifying the right technical problems to solve, and moving fast to drive measurable results.

What you'll do:

• Lead the technical roadmap for activation backend systems, defining the highest-impact opportunities for new and returning users
• Drive hands-on backend engineering across APIs, event pipelines, production systems, and recommendation serving
• Build signal infrastructure that captures user intent from entry points and makes it available to recommendation systems
• Collaborate closely with ML engineers, building the backend infrastructure that ML models depend on
• Partner with product managers and data scientists to translate user problems into technical opportunities
• Drive cross-team technical initiatives, authoring design documents and building alignment across engineering orgs
• Own system reliability, production readiness, and operational health for activation backend systems
• Mentor and develop engineers on the team
  
  

What we're looking for:

• 5+ years of experience building and shipping large-scale backend systems at consumer internet companies
• 2+ years of experience as a senior IC driving cross-team projects with measurable business impact
• Strong product mindset with the ability to identify which technical problems matter most for business impact
• Track record of rapid execution and driving projects to completion in ambiguous environments
• Strong systems design skills across distributed systems, event-driven architectures, and service-oriented backends
• Familiarity with ML infrastructure concepts and ability to build systems that support ML workloads
• Strong collaboration and communication skills across engineering and product audiences
• Experience mentoring engineers and establishing technical best practices
• Demonstrated ability to use AI to accelerate your workflow while maintaining high standards for verification, data integrity, and ownership of final outputs
• Degree in Computer Science or a related field, 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 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 up to 4 times per year. Quarterly in-person collaboration will be held in San Francisco, Seattle or New York.

#LI-REMOTE

#LI-KK6

Are you passionate about transforming financial and business operations through product, analytics, and AI? Join the IT Enterprise Systems team at Pinterest to help build the next generation of capabilities that power planning, forecasting, modeling, and decision support across the business.

What you’ll do:

• You possess a mix of technical strength, business strength, and the ability to navigate stakeholders across different business areas and have experience building cross-functional relationships across engineering and business peers to ensure objectives are well defined and clearly understood. 
• You are able to navigate working at the strategic level (e.g. generating innovative ideas for growth, establishing KPI’s, leading through change management) and at the tactical level (e.g. analyzing data, solving problems, being a force multiplier)..
• Define product strategy, roadmap, and execution for planning, forecasting, modeling, and analytics enablement capabilities.
• You will engage the business to identify their needs and spot opportunities to build features that increase engagement and drive efficiencies.
• Partner with Finance, Business Operations, Data Science, Analytics, IT, and Engineering to identify opportunities to improve workflows, decision quality, and operational efficiency.
• Build and improve systems and experiences that support planning cycles, forecasting processes, business modeling, and analytical decision-making.
• Help teams access better data, workflows, and analytical capabilities to support faster and more confident decisions.
• Identify and deliver practical AI use cases that improve workflow speed, decision support, exception handling, insight generation, and team productivity.
• Apply strong judgment to where AI should be used, ensuring appropriate validation, controls, and human accountability.
• Identify and deliver practical AI use cases that improve scenario analysis, insight generation, summarization, exception detection, workflow productivity, and user experience.
• Apply strong judgment to where AI should be used, ensuring outputs are validated and fit for business decisions.

What we’re looking for:

• Bachelor’s or master’s degree in computer science, Engineering or a related field; or equivalent combination of education and experience
• Minimum of 12 years product management experience with minimum 3+ years in a product role in a global organization.
• Excellent communication, collaboration and leadership skills, with the ability to navigate cross-cultural and cross-functional environments
• Nimble to deliver for stakeholders: You know how to navigate hurdles and stay focused on great customer experience.
• Significant product ownership or product management experience in financial planning  systems, analytics platforms, or adjacent internal products.
• Strong understanding of financial planning, forecasting, business operations, modeling, or decision-support workflows.
• Experience enabling analytics, data products, or systems that support planning and performance management.
• Demonstrated hands-on use of AI in real business workflows, not just conceptual familiarity.
• Strong judgment in validating AI outputs, managing risk, and maintaining accountability for final decisions and recommendations.
• Excellent communication, collaboration, and stakeholder management skills across technical and non-technical teams.
• Proven ability to move between strategic thinking and hands-on execution.
• Ability to work through ambiguity, simplify complexity, and deliver measurable outcomes.
• Strong understanding of Agile principles and iterative product development.

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

#LI-REMOTE

#LI-JD3

As a Staff Product Manager for the GenAI Safety team within Trust & Safety, you'll define and drive the product strategy for ensuring Pinterest's GenAI-powered systems are safe, fair, and trustworthy. You'll be responsible for building proactive safety frameworks that scale with our growing AI capabilities, partnering deeply with engineering, policy, data science, and design to protect our users while enabling Pinterest to innovate responsibly.

This is a high-impact role for someone who is passionate about the intersection of AI and user safety, and who thrives in ambiguous, fast-evolving problem spaces. You'll work at the frontier of responsible AI - anticipating novel harms before they emerge, red-teaming new AI features, and translating complex policy goals into measurable product requirements.

What you'll do:

• GenAI Safety Strategy: Own and drive the product roadmap for GenAI safety across Pinterest's AI-powered surfaces, including assisted search, content recommendations, automated moderation, and generative content creation tools
• Threat Modeling & Red-Teaming: Lead proactive identification of risks, failure modes, and adversarial attack vectors across AI systems - designing structured red-teaming exercises and evaluation frameworks before and after product launches
• Policy-to-Product Translation: Partner closely with Trust & Safety policy, legal, and ethics teams to translate nuanced content guidelines (e.g., self-harm, misinformation, body image) into precise, buildable product requirements and model guardrails
• Cross-Functional Collaboration: Work with engineering, ML, design, data science, policy, legal, comms, and operations teams to define, align, and ship AI safety solutions across global markets and diverse user populations
• Evaluation & Measurement: Define and track quantitative safety metrics - including fairness audits, false positive/negative rates, disparate impact analysis, and content harm reduction - to ensure AI systems meet safety standards at scale
• Incident Response: Develop and maintain AI safety incident runbooks and escalation frameworks, and lead rapid triage and remediation when AI systems produce harmful or unexpected outputs
• Emerging Risk Anticipation: Stay ahead of the rapidly evolving AI landscape to identify safety implications of new capabilities (e.g., multi-modal generation, synthetic media, agentic AI) and proactively build extensible safety infrastructure to address unknown future applications
• Global & Cultural Sensitivity: Ensure AI safety approaches account for the needs, norms, and contexts of Pinterest's diverse global user base - avoiding one-size-fits-all solutions and centering equity in safety design
• User & Employee Wellbeing: Champion the safety and psychological wellbeing of both users who encounter harmful content and internal teams (content reviewers, T&S specialists) who work on the front lines of content safety
  
  

What we're looking for:

• 7+ years of product management experience, with meaningful depth in GenAI/ML, trust & safety, content moderation, or responsible AI
• Strong fluency in AI/ML concepts - including generative models, recommendation systems, multi-modal AI, and reinforcement learning from human feedback (RLHF)
• Experience with AI ethics frameworks, responsible AI principles, or relevant regulatory landscapes (e.g., NIST AI RMF, EU AI Act)
• Demonstrated ability to lead cross-functional teams through ambiguous, high-stakes problem spaces with a bias for action
• Proficiency in engaging with research, mapping threat models, validating risks, and translating insights into clear product strategies and roadmaps
• Excellent communication skills - the ability to articulate complex technical and ethical trade-offs to non-technical audiences and senior leadership, facilitating clear decision-making
• Deep empathy for users and a genuine commitment to making the internet safer
• 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.

#LI-REMOTE
#LI-REX

Pinterest is where people come for inspiration, not distraction – an active intent platform uniquely positioned at the intersection of search, social, and commerce. Our commitment to personalized discovery and actionable curation helps hundreds of millions around the globe turn inspiration into reality. Here, Personalization is essential to who we are and what we do.

We’re looking for a passionate and strategic AI/ML Product Manager to drive the future of personalized experiences on Pinterest. As part of our Personalization team, you’ll work across Engineering, Data Science, and Design to deliver industry-leading AI and ML solutions—helping users easily discover inspiration, curate what they love, and shop for what brings their ideas to life. You’ll ship impactful products on high-traffic Pinterest surfaces, including Home, Search, and Related Pins, and play a key role in Pinterest’s top strategic theme for the years ahead.

What you’ll do:

• Define, design, and launch thoughtful AI/ML-powered experiences that help users discover, curate, and shop ideas tailored to their unique taste.
• Partner cross-functionally with Engineering, Design, and Data Science to craft seamless and delightful experiences at the intersection of user experience, ML, and AI.
• Set product vision, influence strategy, write requirements, develop hypotheses, and establish success metrics for critical personalization initiatives.
• Identify and prioritize new opportunities to advance the relevance, impact, and sophistication of personalization across Pinterest’s Curation portfolio.
• Autonomously navigate and resolve complex, ambiguous product challenges—and influence product strategy across multiple teams.

What we’re looking for:

• Track record in AI/ML products: Experience building and launching personalized experiences, ideally at scale, for consumer products (e-commerce a plus).
• Technical fluency: Strong understanding of AI/ML product development; ability to credibly partner with engineers and data scientists across the stack.
• Sharp communication: Comfortable presenting to executives and cross-functional audiences; excels at simplifying complex technical and product concepts.
• Strategic and customer-centric: Deep empathy for user needs, with an ability to turn rich data and insights into new opportunities and delightful features.
• Collaborative influencer: Ability to build trusted relationships with a variety of internal partners (including Advanced Technology, Growth, Trust & Safety, Monetization, and more) and align them to shared goals.
• Ownership mindset: Skilled at defining what success looks like, rallying teams, and guiding projects from ideation to successful launch.
• 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.

#LI-REMOTE
#LI-REX

As a Staff Designer on our Social Experiences team, you’ll be an integral part of our overall growth strategy, working to build the best possible social experiences to connect users. This includes driving user growth by expanding and enhancing our end-to-end social ecosystem, including finding, connecting, and engaging with your friends and family; improving our existing on- and off-platform sharing flows; and crafting new 0-1 social experiences to drive user retention. You’ll also play a key role in mentoring other designers on the team and driving vision for the future of meaningful connections on Pinterest.

What you’ll do:

• Define a point of view for the social ecosystem (principles, strategy, what “good” looks like) and bring others along to think outside the box and innovate while also while including how we keep the platform and users safe
• Partner closely with your product and engineering counterparts to define product strategy, roadmap, process, and culture for the Social Experiences team
• Design impactful user-centered features that drive business impact
• Use storytelling to drive clarity around opportunities, solutions, and learnings for driving the strategy and execution of the team
• Be comfortable in a fast-paced, data-driven experimental environment
• Manage feedback from cross-functional stakeholders and leadership across Growth and Core teams
• Uphold and inspire a high level of design execution throughout the team
• Grow the people on your team through coaching and mentorship
• Leverage AI tools to accelerate team development, and pioneer ways to utilize AI in the team’s process and within the product experience
  
  

What we’re looking for:

• Bachelor’s degree in design, a related field or equivalent experience
• 7+ years in Product Design (or equivalent)
• Experience leading complex user and metrics inspired projects
• Excellent product thinking and UX design skills
• Great communication skills with the ability to clearly articulate your design decisions and the problems they’re solving
• Ability to set the direction for the team by creating clear and impactful strategies
• Drive results by holding the team accountable for efficient, high-quality execution of goals
• A well-versed storyteller with strong presentation skills
• Experience in balancing speed and quality with a focus on driving impact through both optimizations and 0-1 product development
• High level of self-awareness with a growth mindset that is focused on impact
• Strong portfolio that demonstrates outstanding design skills and a passion for experimentation, data literacy and systems thinking a plus
• Understanding how to fold in Trust & Safety best practices into their solutions (privacy, integrity, controls, considering bad actors)
• Experience working on social features, metrics-inspired design (growth teams) is a plus
• Familiarity with AI tools for product development efficiency and AI capabilities for user facing features - especially Figma Make for quick prototyping and using AI assistants for referencing research, ideating and brainstorming 

In-Office Requirement Statement:

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

Relocation Statement:

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

#LI-REMOTE

#LI-JD3

We are looking for a Staff Product Designer to lead Closeup, one of Pinterest’s highest leverage consumer surfaces. It is the moment where inspiration turns into action. This role gives you direct ownership over a core, high-traffic experience used by millions of Pinners, where great design can meaningfully shift both user value and business outcomes. The work is inherently cross‑org and highly visible. Closeup sits at the intersection of the Pinterest home feed, search, shopping, visual search, and more. You’ll collaborate with senior partners across product, engineering, research, and adjacent design teams, building influence quickly and becoming a go to design leader for end-to-end experience decisions.

What You’ll Do

• Own end to end Closeup design: Lead design for key Closeup experiences across iOS, Android, and web, from early exploration through launch and iteration
• Drive product outcomes through design: Partner with cross functional leads to define goals, metrics, and experiment plans, and ship improvements that increase user value and measurable impact
• Simplify complex, modular experiences: Improve information hierarchy, interaction patterns, and module behavior across many Pin types and use cases, balancing relevance, clarity, and actionability
• Partner across teams and systems: Work closely with adjacent teams (Home, Search, Visual Search, Gestalt) to align patterns and deliver a cohesive experience across the product
• Prototype and iterate quickly: Use Figma and interactive prototyping to explore options, validate direction, and accelerate decision making with partners
• Raise the craft bar: Lead critiques and reviews, set a high standard for interaction and visual design, and mentor other designers through feedback and collaboration
• Design for inclusion and trust: Ensure Closeup experiences are accessible, inclusive, and designed with content quality and safety considerations where needed
• Use AI to accelerate exploration and iteration: leverage AI tools to rapidly generate and compare Closeup concepts and interaction approaches, then refine with strong product judgment and craft
• Design AI-aware Closeup experiences: partner with ML, Product and Engineering to shape how AI-driven signals and experiences show up in Closeup, improving relevance, clarity and actionability for Pinners across diverse Pin types

What We’re Looking For

• Bachelor’s degree in design, a related field or equivalent experience
• 8+ years of product design experience, with ownership of significant consumer product surfaces
• A portfolio showing strong interaction design, visual craft, and systems thinking, with work that has shipped and iterated based on feedback or data
• Demonstrated ability to lead ambiguous problems, set direction, and drive alignment across senior cross functional partners
• Experience using AI in your design workflow to improve speed and quality, including generating options and synthesizing inputs, while clearly articulating your rationale and decision making
• Experience designing for mobile and platform considerations, with strong product judgment and attention to detail
• Comfort working in an experimentation and measurement driven environment, including defining hypotheses and learning from results
• Excellent communication skills, including the ability to articulate tradeoffs, present clearly, and influence decisions
• Demonstrated commitment to inclusion, accessibility, and crafting systems that serve diverse audiences

Bonus Points For

• Experience owning a high traffic detail, viewer, or consumption surface (content detail pages, product pages, media viewers)
• Experience with shopping evaluation, trust signals, or decision support UX
• Familiarity with personalization and ranking constraints, or designing modular experiences at scale
• Strong accessibility expertise and examples of inclusive design leadership

In-Office Requirement Statement:

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

Relocation Statement:

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

#LI-BL5

#LI-REMOTE

We are looking for a Staff Data Scientist for our Engagement Ecosystem. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.

What you’ll do

• Develop a deep, nuanced understanding of the Pinterest engagement ecosystem and key product surfaces, quantifying ecosystem-level opportunities and risks.
• Lead projects on:
• Tradeoffs between organic engagement and advertising.
• Deep dives on how engagement metrics impact monetization and retention.
• Understanding and predicting the value of core behaviors (e.g., saving, repinning, board creation) as they relate to downstream business outcomes.
• Designing and evaluating interventions that sustainably boost enterprise metrics across product boundaries.
• Design and productionize robust, scalable ML and evaluation frameworks—spanning forecasting, recommendation, and causal inference.
• Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact.
• Collaborate across disciplines—Product, Engineering, Research, Business, and Design—translating complex data questions into actionable business insights.
• Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence.
• Use advanced ML, causal inference, and generative AI techniques to model and explain complex interactions across the Pinterest ecosystem (e.g., organic engagement, ads, content quality, monetization), turning highly ambiguous business questions into clear, testable hypotheses and decision frameworks for Core and Monetization leadership.
• Apply AI-assisted analysis and developer tools (e.g., copilot, intelligent dashboards) to accelerate exploration, improve code quality, and scale insight generation, ensuring we can quickly evaluate tradeoffs like ad load vs. Pinner engagement.
• Champion responsible and scientifically rigorous use of AI across the ecosystem, setting best practices for instrumentation, experimentation, and metric design so that AI-driven changes balance engagement, revenue, and long-term user trust.

What we’re looking for

• 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics.
• Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark.
• Strong product intuition—ability to scope, question, and design the right solutions for ill-defined, high-impact business problems.
• Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes.
• Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences.
• Track record mentoring and growing data talent at the staff/senior IC level.
• Cross-functional leadership and the ability to align competing interests towards shared goals.
• Proven track record applying machine learning and/or causal inference to complex, ambiguous product or marketplace problems at scale (e.g., ads, recommendations, multi-sided ecosystems), from problem framing and experimental design through to influencing senior stakeholders and driving product or policy decisions.
• Hands-on experience with modern AI/ML tools and workflows (such as PyTorch, TensorFlow, scikit-learn, or similar, plus LLM-based assistants or copilots) and comfort rapidly adopting new AI capabilities into day-to-day analysis, prototyping, and experimentation workflows.
• Masters degree in a technical field (e.g., Computer Science, Statistics, Mathematics, Engineering, Social Sciences).

In-Office Requirement Statement:

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

Relocation Statement:

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

#LI-NM4

Our Merchants organization focuses on onboarding and activation, catalog quality and health, merchant presence (including creator/UGC and trust signals), and ads upsell—helping merchants build healthy catalogs, reach the right audiences, and unlock clear paths to growth.

In this role, you’ll lead high-impact engineering at the intersection of commerce platforms, catalog systems, and AI-native experiences. This includes applying ML, AI-assisted workflows, and GenAI where appropriate to improve metadata quality, merchant tooling, and operational efficiency. You’ll partner closely with Engineering Managers, Product Managers, Data Scientists, and other senior engineers to deliver systems with measurable business and user impact.

What you’ll do: 

• Own end-to-end technical delivery for cross-team initiatives—from problem framing and technical strategy through architecture, implementation, rollout, and iteration.
• Shape catalog and integration systems for scale, reliability, and quality, ensuring merchant data is deep, broad, fresh, and actionable across partners, formats, and key signals such as inventory and pricing where relevant.
• Build and evolve ML-, GenAI-, and AI-assisted merchant experiences with strong validation and guardrails—for example, metadata enrichment, gap-filling, and internal tools that improve catalog health without compromising trust.
• Contribute to merchant onboarding and activation systems that span teams, creating streamlined flows, signals, and decisioning pathways that improve approval rates, merchant quality, and time to value.
• Partner where appropriate on organic attribution, merchant insights, and data-driven pathways from organic success to paid products, ensuring strategy is measurable rather than anecdotal.
• Drive technical decisions using clear tradeoffs across revenue, conversion, catalog health, engagement, and Torso success.
• Mentor senior engineers and raise the bar for technical design, engineering quality, and production readiness across the organization.
• Use AI to accelerate your own work—across exploration, drafting, analysis, and synthesis—while maintaining strong judgment, rigorous validation, and accountability for outcomes.
  
  

What we’re looking for:

• 10+ years of software engineering experience, including meaningful time as a Staff, Senior Staff, or equivalent-level IC building and operating complex production systems.
• Strong track record in commerce, marketplaces, ads, or other adjacent large-scale domains, including leadership on cross-team technical initiatives.
• Deep experience in systems design, API design, and data-intensive systems, with the ability to navigate tradeoffs in performance, reliability, and scalability.
• Experience building or partnering on ML-, AI-, or GenAI-adjacent systems, with a pragmatic understanding of where these technologies add value and how to deploy them responsibly.
• Catalog, integrations, or merchant platform experience is a strong plus.
• Experience with growth, measurement, funnel optimization, or organic-to-paid ecosystems is a plus.
• Strong communication skills and the ability to influence technical direction without directly owning every implementation detail.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field—or equivalent practical 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 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/month, and therefore needs to be in a commutable distance from one of the following offices: San Francisco or Palo Alto.
  
  

#LI-HYBRID

#LI-CL5

The Data Product Platform is mission-critical to accelerating data-driven decision-making at Pinterest on the foundation of 100s of thousands of tables and an exadata-scale data warehouse. We strive to provide effortless, efficient, and reliable data products and platforms that power the entire company. We achieve this by investing in three core areas:

1. Data Warehouse: Building and managing the foundational data warehouses that enable key analyses across both our core engagement and monetization products.
2. Analytical Velocity: Creating powerful analytical tools that empower internal data users to leverage our vast data assets and capable infrastructure effectively.
3. Data Governance: Defining and implementing the data governance policies and tools necessary to ensure the responsible, efficient and compliant storage and handling of all data.

We are seeking a Sr. Staff Software Engineer to provide technical leadership and direction across these three pillars. In this role, you will be instrumental in architecting and driving solutions that handle increasing data volume, navigate business complexity, accelerate analytical velocity, and build the foundation for our next generation of AI analytics products. If you are passionate about building world-class data ecosystems at massive scale, we invite you to lead our efforts.

What you’ll do: 

• Spearhead the definition and design of Pinterest's data warehouse architecture, storage, governance, and usage.
• Set the strategic direction for world-class data analytics tools, including experimentation platforms, ad hoc analysis systems, data visualization, data pipeline authoring, and AI-assisted data analytics capabilities.
• Define, design, and drive the adoption of comprehensive data governance policies and tooling to ensure data quality, promote responsible data handling, and maximize efficiency.
• Lead ambiguous, highly challenging, and cross-functional initiatives across the data ecosystem, expertly managing trade-offs among unique requirements and constraints (e.g., usability, efficiency, and compliance) to deliver a cohesive user experience.
• Drive measurable adoption and significant business impact across the entire product portfolio through platform and tooling initiatives.
• Mentor and elevate the technical bar for engineers, providing leadership on complex technical design, execution strategies, and critical trade-off decisions.
• Collaborate with stakeholders across Product, Data Science, and Engineering teams to understand user needs, drive alignment and drive progress.
  
  

What we’re looking for:

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 12+ years of relevant industry experience with large scale data warehouses, data tools and platforms. 
• 5+ years experience building data warehouses and tools around the data ecosystem with technologies such as Spark, Trino, Flink, Airflow, Querybook, Superset, DataHub, etc.
• Ability to work with cross-functional partners across multiple organizations.
• Hands-on experience building tools and data pipelines leveraging AI coding tools, e.g. Cursor, Claude Code, Codex, etc.
• Hands-on experience building AI tools and platforms to accelerate data pipeline authoring, data analytics and engineering productivity.
  
  

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/quarter, and therefore can be situated anywhere in the country.

#LI-REMOTE

#LI-AH2

This role is part of Pinterest’s Corporate Security team and will collaborate closely with engineers to tackle complex enterprise security challenges. You will have the opportunity to design and implement innovative solutions that protect Pinterest’s systems and data. Your work will directly contribute to ensuring the safety and resilience of the company’s enterprise environment.

What you’ll do: 

• Automation & Tooling - Develop scripts, tools, and automated pipelines to streamline vulnerability scanning, incident triage processes. Integrate security tools within CI/CD pipelines.
• Security Architecture & Code Review - Consult and engineer secure-by-design systems. Conduct design and code reviews to identify vulnerabilities, misconfigurations, and security flaws early in the development lifecycle.
• Champion Security Automation Culture: Advocate for and educate team members on secure coding, automation practices, and emerging security technologies.
• Implement Secure Engineering Practices -  Design, develop, and maintain software systems with security best practices integrated throughout the development lifecycle.
• Collaborate with XFN Teams - Partner with security engineers and IT to improve detection and remediation of threats across infrastructure and applications.
• Use AI to accelerate analysis and iteration, while applying judgment and verification to ensure correctness and quality.
• Leverage AI to streamline and enhance the efficiency, accuracy, and coverage of security engineering and review processes.
  
  

What we’re looking for:

• Bachelor’s degree in Computer Science, Cybersecurity or, a related field or equivalent experience.
• 5+ years of experience in corporate security or security related software engineering role.
• Linux/UNIX, macOS or Windows internals with an emphasis on proactive hardening.
• Experience working in conjunction with IT architectural and infrastructure groups to coordinate and implement roadmaps for future scalability, growth, and capacity.
• Fleet management experience (e.g. Puppet, Chef, Terraform or similar).
• Cloud computing experience (infrastructure or security experience both valuable).
• Systems security experience (e.g. hardening a corporate identity environment).
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
  
  

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

#LI-REMOTE

#LI-AH2

On Pinterest we believe the ads experience can *enhance* the experience. We think about how we can make the experience *better*, and how we can connect businesses of all sizes and complexity across the globe to Pinners with all varieties of intent, and complete the journey from Inspiration to Realization. It is through Ad Formats that we create the products, piping and apply critical thinking end-to-end to innovate using Pinterest’s unique visual understanding, Pinner intent, and world-class team of cross-functional partners. In this role you’ll lead (and create!) several ad formats as part of a mighty team at the center of the innovation!

What you’ll do:

• Lead cross-functional teams to execute on high impact, innovative Ad Format products that help Pinners take action and advertisers tell compelling stories to reach their business goals.
• Evolve current ad formats and iterate to drive Inspiration to taking action.
• Act like an owner, where you drive the business outcomes and success for their product portfolio
• Balance and influence different business needs and make appropriate trade offs across different Pinterest stakeholders.
• Leverage available AI productivity tools to drive high velocity product outcomes

What we’re looking for:

• 5+ years of experience as a product manager with at least 2 years of experience in Ads.
• Excellent communication skills and ability to drive alignment among multiple stakeholders.
• Strong analytical skills and proficiency with data and different pricing models
• Ability to lead and operate in ambiguous environments and execute with urgency.
• Previous experience or exposure to ads.
• Nice-to-have prior experience launching AI consumer products.
• 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.

#LI-REMOTE
#LI-REX

Sr. Engineering Manager, AI/ML Serving Platform

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

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

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

What you’ll do

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

What we’re looking for:

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

In-Office Requirement Statement:

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

Relocation Statement:

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

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