We are looking for inquisitive, well-rounded Backend engineers to join our Monetization engineering teams. Working closely with product managers, designers, data scientists, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences as we scale and evolve. You will build robust frameworks & features. You will accelerate velocity for one of the world’s largest public cloud workloads. You will empower both developers and Pinners alike. You’ll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s required in order for big bets and smart risks to pay off, you’ll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release.

What you’ll do:

• Build out the backend for Pinner-facing features to power the future of inspiration on Pinterest
• Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users
• Partner with design, product, and backend teams to build end-to-end functionality
• Put on your Pinner hat to suggest new product ideas and features
• Employ automated testing to build features with a high degree of technical quality, taking responsibility for the components and features you develop
• Grow as an engineer by working with world-class peers on varied and high impact projects
• Design, develop, and operate large scale, distributed systems and networks
• Work with Engineering customers to understand new requirements and address them in a scalable and efficient manner
• Actively work to improve the developer process and experience in all phases from coding to operation
• Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches)
• Leverage AI to synthesize information (summarize, distill themes) and automate repeatable tasks (documentation, reporting, QA checks)

What we’re looking for:

• 1+ years of industry backend development experience, building consumer or business facing products
• Proficiency in common backend tech stacks for RESTful API, online service, storage, caching and data processing
• Experience building & operating large scale distributed systems and/or networks. Bonus points if you enjoy deploying and operating large scale workloads on a public cloud footprint
• Experience in Python, Java, C++, or Go or another language and a willingness to learn
• Experience in following best practices in writing reliable and maintainable code that may be used by many other engineers
• Ability to keep up-to-date with new technologies to understand what should be incorporated
• 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).
• Bachelor’s/Master’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 1-4 times per year and therefore can be situated anywhere in Ontario.

This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.

#LI-HYBRID #LI-CH1

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 Technical Program Managers deliver critical & strategic outcomes by directing and scaling engineering effort across organizational and functional boundaries.

This role is within the Ads Measurement org, which is responsible for proving the value of Advertising at Pinterest. You will be driving development of new solutions, scaling of existing solutions, solving complex engineering problems, and driving ambiguous programs from inception to launch. Example programs: building new measurement products, optimizing delivery based on measurement source of truth, and driving new integrations. 

What you’ll do:

• Own end-to-end program delivery for Ads Measurement initiatives: Drive planning → execution → launch for complex, cross-org measurement programs (e.g., incrementality improvements, measurement integrations), with clear goals, milestones, and success metrics aligned to Monetization outcomes and broader company OKRs.
• Drive clarity through ambiguity in a complex technical domain: Convert vague problem statements into crisp program charters, decision points, and executable roadmaps; proactively identify gaps (requirements, ownership, resourcing, data readiness) and close them.
• Influence technical direction and tradeoffs with strong technical judgment: Facilitate architecture/design alignment, surface core technical uncertainties early, and drive principled tradeoff decisions (accuracy vs. latency, experimentation rigor vs. speed, privacy constraints vs. measurement granularity).
• Execute at both breadth and depth. At breadth by understanding the big picture, and at depth by being comfortable driving nitty gritty details with multiple teams
• Be a thought leader to your XFN stakeholders by influencing product roadmap during the annual & quarterly planning. Work cross functionally with engineering, product, design, data analytics, Sales, Business Development, Research, and product marketing to turn ambiguous opportunities into actionable outcomes
• Operate at Staff (IC16) scope and leadership altitude: Own the success of a strategic, complex program spanning multiple orgs; manage ambiguity across leadership levels; communicate program state, risks, and proposals (including tradeoffs) clearly to senior audiences (VP/Estaff/PLT as needed).
• Build durable program mechanisms and best practices: Create repeatable operating rhythms (intake, prioritization, RAID, decision logs, launch criteria, post-launch learning loops), and scale execution through others (including other T/PgMs and functional leaders).
• 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’s great/unique about this job?
  • High-leverage business impact: Ads Measurement is foundational to advertiser trust, budget allocation, and Monetization growth; your programs directly influence how we prove value and improve performance.
  • Deep technical + product surface area: You’ll sit at the intersection of experimentation methodology, measurement accuracy, platform integrations, privacy/safety constraints, and product strategy—requiring strong judgment rather than just “process.”
  • Visible, strategic scope at Staff level: This role is expected to lead strategic, complex programs that span multiple orgs and contribute directly to company OKRs—an opportunity to shape both outcomes and how we operate.
  • Cross-functional leadership without authority: You’ll partner tightly with Engineering, Product, PMM, Design, and Sales to align narratives, commitments, and launch readiness across highly interdependent teams.

What we’re looking for:

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

Relocation Statement:

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

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1 time every 6-months and therefore can be situated anywhere in the country.

#LI-REMOTE

#LI-JD3

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

The Ads Performance organization is responsible for maximizing advertiser performance and revenue outcomes through Pinterest’s Ads Delivery and Ads Modeling systems. This team drives high-impact, cross-functional work that improves the efficiency, relevance, and scalability of Pinterest’s ads stack, helping advertisers achieve measurable results while supporting strong user experiences. 

What you’ll do:

• Own end-to-end program delivery for complex Ads Performance initiatives, driving planning, execution, and launch across multiple teams with clear goals, milestones, and success metrics aligned to monetization outcomes and company OKRs. 
• Turn ambiguous problem spaces into clear program charters, roadmaps, and decision points, while proactively identifying and resolving gaps in ownership, requirements, resourcing, and data readiness. 
• Partner closely with Engineering, Product, Data Science, Design, Analytics, Sales, Business Development, Research, and Product Marketing to align stakeholders and turn opportunities into actionable outcomes.
• Drive development of new performance capabilities across ads delivery and modeling, including initiatives related to bidding, ranking, optimization, and other strategies that improve ROI and user experience. 
• Help scale existing systems to support new surfaces, formats, markets, and use cases while maintaining reliability, latency, and cost efficiency. 
• Influence technical direction and tradeoff decisions by facilitating alignment on architecture, surfacing risks and uncertainties early, and helping teams navigate decisions across accuracy, latency, experimentation rigor, privacy, and measurement needs. 
• Build durable program mechanisms and best practices, including intake, prioritization, RAID tracking, decision logs, launch criteria, and post-launch learning loops. 
• Communicate program state, risks, and recommendations clearly to cross-functional stakeholders and leadership, and proactively escalate when broader alignment or decisions are needed. 
• 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:

• 5+ years of experience as a Technical Program Manager or in a related role. 
• Strong leadership skills with an entrepreneurial mindset and the ability to lead new initiatives from the ground up in ambiguous environments.
• Passion for execution and a track record of driving large, complex programs to completion.
• Solid technical background with the ability to understand system design, technical challenges, and risks, and to break down complex problems to drive decisions.
• Strong analytical skills, including experience using metrics and data to identify opportunities, risks, and incidents.
• Excellent written and verbal communication skills, with the ability to explain nuanced technical concepts to a range of internal and external stakeholders.
• Proven ability to influence teams and drive alignment across multiple stakeholders and organizations.
• Experience building scalable processes and operating mechanisms in cross-functional environments.
• Preferred: experience in the ads space, especially across ads ecosystems, measurement, APIs, data pipelines, integrations, or data products. Understanding of user privacy is a plus.
• Demonstrated AI-first execution mindset, including the ability to use GenAI to accelerate planning, communications, workflows, and decision-making, while applying strong judgment and operating within governance expectations.

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

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

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

• 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.
• Partner with engineering, infrastructure, security, and product teams to standardize best practices for AI-assisted development workflows.
• Define and operationalize scorecards, metrics, and guardrails across productivity, adoption, quality, reliability, and cost.
• Navigate ambiguity, align senior stakeholders, and turn emerging opportunities into durable multi-quarter execution plans.
• Communicate progress, risks, tradeoffs, and recommendations to senior technical and executive audiences.

What We’re Looking For

• 12+ years of experience as a technical program manager, or related experience.
• Significant experience leading large, cross-functional technical programs with company-level impact.
• Strong technical fluency in developer workflows, engineering systems, platform/tooling, or software infrastructure.
• Track record driving engineering productivity or transformation programs across multiple organizations.
• Excellent judgment in balancing speed, quality, safety, and cost.
• Exceptional stakeholder management, communication, and executive influence skills.
• Experience with AI-assisted engineering tools, developer agents, platform adoption, or software delivery transformation is strongly preferred.
• Bachelor’s degree in Computer Science, Engineering, a related field or equivalent experience.

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. 
  
  

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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

The Team: 

Pinterest Technical Program Managers at this level are proactive owners with deep technical and strategic expertise. They are aligned to the highest level company priorities, leading impactful teams of senior managers and ICs responsible for cross-org large-scope programs or products. The Pinner Journeys & Belonging pillar is a single, senior pillar owning end-to-end Core experiences. This team defines the operating system for Pinterest’s most critical product and technology areas, directly impacting company-level OKRs.

What you’ll do:

• Lead an impactful team of senior TPMs and ICs responsible for cross-org, large-scope programs that connect Core, M10n, and Platforms.
• Set a clear strategy and vision for the Pinner Journeys & Belonging function, providing thought leadership and influencing the business and potential regulatory issues that might impact Pinterest.
• Be accountable for stitching together user journeys (Personalization, Search, Assistant, etc.) to land as coherent, end-to-end experiences, with top line metrics as the primary north-star metric for journey quality.
• Drive alignment of resource planning across multiple organizational units with strategic business objectives, engaging with executive leadership to prioritize resource needs.
• Ensure that qualified successors are identified for key functional roles, creating a culture that emphasizes constructive feedback, ongoing learning, and equitable development across the team.
• Lead the emerging UX Quality agenda across Pinner Journeys, integrating accessibility, inclusive product, and wellbeing into Core journeys as P0 responsibilities.
• 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:

• 10+ years of experience as a technical program manager, or related experience, leading multiple company-level programs that impact multiple company OKRs.
• 2-5+ years of management experience, with a proven ability to lead an impactful team of senior managers and ICs.
• A leader who navigates uncertain situations, provides direction and frameworks to the function, and conveys stability in evolving or uncertain times.
• Expertise in building tracking mechanisms to create an environment of accountability for the working team's progression.
• Strong ability to move the function forward through a mature decision-making process, willingly making tough trade-offs on behalf of the organization.
• A leader who fosters a culture that supports people taking well-reasoned risks in service of creating value for Pinners.
• Proven strength in engaging with executive leadership to provide strategic guidance, with polished communication skills and thought leadership.
• Demonstrated experience as a power user and extender of an A/B testing / experimentation platform (e.g., internal or external tools, homegrown experiment frameworks, etc.). This includes shaping schemas and workflows, defining launch/guardrail standards, and building automation on top of the platform (e.g., Python/SQL scripts, dashboards, anomaly/holdout reports, and launch-review summaries) so it becomes the single source of truth for “what shipped, what moved the metrics, and why.
• 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.
• BS in Engineering or CS or equivalent work 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-DM57

Position Summary: 

Pinterest’s Infrastructure Governance (InfraGov) team ensures our infrastructure is cost-efficient and aligned to company priorities. This Director of Technical Program Management role owns the infrastructure budget operating system—the strategy, mechanisms, and executive partnerships that enable Pinterest to fund innovation while executing to budget and margin targets. You will lead a team of TPMs who run key governance programs spanning spend control, evergreen efficiency, capacity management, and cloud vendor performance, partnering closely with senior leaders across Finance, Engineering, and Product. Success requires a leader who can build durable decision frameworks, create transparency through metrics and tooling, and drive balanced trade-offs across a complex portfolio. This is a high-visibility role at the intersection of technology strategy and business outcomes, with direct impact on how Pinterest scales.

What You’ll Do: 

• Define the multi-year strategy and operating model for infrastructure cost governance/ FinOps at Pinterest
• Own annual planning, quarterly re-forecasting, variance management, and execute-to-budget mechanisms for infrastructure investment
• Lead a team of TPMs and FinOps practitioners driving programs across spend transparency, efficiency, capacity planning, and vendor performance
• Build source-of-truth reporting, dashboards, and business reviews that make infrastructure cost, usage, and performance visible and actionable
• Partner with Finance, Engineering, Product, and Procurement leaders to drive high-quality trade-offs across innovation, reliability, cost, and growth
• Establish scalable guardrails, escalation paths, and accountability models that help teams move quickly while maintaining financial discipline
• Sponsor cloud vendor strategy and performance management in partnership with engineering and finance stakeholders
• Coach and develop senior leaders on the team while raising the bar on operational excellence, decision quality, and inclusive leadership.
• 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: 

• Significant experience leading large, cross-functional technical portfolios through senior TPMs, managers, or FinOps practitioners
• Deep familiarity with cloud and infrastructure systems, including the cost, capacity, and reliability implications of technical decisions
• Strong business and financial acumen, including planning, forecasting, KPI management, and investment trade-off analysis
• Track record building durable governance mechanisms, reporting frameworks, and operating cadences that scale across many teams
• Executive presence and proven ability to influence senior leaders across Engineering, Finance, Product, and Procurement
• Strong analytical judgment and experience using data to drive decisions, accountability, and course correction
• Experience with infrastructure cost management, cloud financial management, FinOps, or related disciplines is strongly preferred
• Commitment to inclusive leadership, talent development, and building high-performing organizations.
• 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.

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-DM57