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

What you’ll do:

We are looking for an experienced and highly capable Data Scientist to help us drive step function improvements in our ads delivery at Pinterest. In this role, you will:

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

• 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data, preferred to have working knowledge of ads delivery and optimization systems.
• Proven ability to apply scientific methods to solve real-world problems on web-scale data
• Expertise in SQL and Python
• Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
• Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams 
• Experience leading key technical projects and substantially influencing the scope and output of others
• Experience in digital ad delivery stacks preferred
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
• Bachelor’s or Master’s degree in a relevant field such as Data Science, or equivalent experience

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

Relocation Statement:

• This position is not eligible for relocation.

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 per half and therefore can be situated anywhere in Ontario. 

#LI-CH1 #LI-HYBRID

We are looking for an Engineering Manager to lead Verticalized Shopping - an end to end mobile and backend team that makes every Pin actionable, from first spark of inspiration to purchase. You will own the technical vision and execution for shopping experiences that cut across Ads, Content, and Growth, and pioneer how we use genAI to turn messy human inspiration into clear next steps for Pinners. Your team will move fast, ship experiments, and learn in the open to drive utility, retention and revenue, working closely with Product, Design, Data Science and our commerce partnerships. You will hire and grow high caliber engineers, set a high bar for craft and speed, and build simple systems and processes that let the team do the best work of their careers while shaping the future of commerce on Pinterest.

What will you be doing:

• Leading an end to end mobile and backend team that makes every Pin more shoppable and actionable
• Owning the technical roadmap for verticalized shopping across Ads, Content and Growth
• Pioneering how we use genAI to turn inspiration into clear next steps for Pinners
• Driving an experiment led culture that learns fast on utility, retention and revenue
• Hiring growing and inspiring high caliber engineers to do the best work of their careers
• Pioneer the use of generative AI to transform unstructured user inspiration into actionable, shoppable moments, elevating the end-to-end mobile and backend shopping experience.
• Integrate AI-driven personalization and recommendation systems to connect Pinners with relevant products, improving conversion rates and user satisfaction across Ads, Content, and Growth surfaces.
• Lead your team in rapidly designing, prototyping and scaling AI-powered experiments, while building the technical harness, context, retrieval, prompt orchestration, evaluation and guardrails, that makes LLM systems predictable, high quality and production ready.

What we’re looking for:

• 9+ years of experience in software engineering, 3+ years in engineering management leading end to end product teams
• A thought leader and cross functional partner who drives innovation and gets high performance from strong engineers
• Proven experience building large scale distributed systems and mobile experiences in consumer, ads or commerce domains
• Deep comfort with experiments, metrics and ambiguity - you use data and fast iteration to find product market fit
• Excitement about applied genAI and how it can turn content into action for Pinners, merchants and advertisers
• Demonstrated success leveraging generative AI or machine learning to build scalable consumer products, with a strong focus on experiment velocity and quality of recommendations.
• Proven ability to build the technology, processes and playbooks that harness LLMs effectively, giving models the right context and controls to produce reliable, high-quality outputs.
• Enthusiasm for creating frameworks and fostering a team culture that uses AI as a force multiplier accelerating learning, operational efficiency, and innovation in shopper engagement and commerce technology.

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

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 per quarter and therefore needs to be in a commutable distance from the Toronto office (85 Richmond St. W).

#LI-HYBRID

#LI-CH1

We are looking for a senior technical leader to drive the next generation of Conversion Measurement capabilities across Pinterest Ads. This is a highly cross-cutting individual contributor role for an engineer who can operate with both breadth and depth—shaping strategy, driving architecture, and delivering durable platforms and product capabilities across a broad range of measurement challenges.

This role will partner with domain leads to tackle ambiguous, high-impact work spanning measurement foundations, identity and attribution signals, privacy-aware measurement, experimentation, lift and incrementality, conversion modeling, reporting quality, advertiser trust, and ecosystem integrations. The person in this role will work closely with Engineering, Product, Data Science, Applied Science, Design, Sales, and Marketing Science to define and execute a long-term roadmap for how Pinterest measures advertiser outcomes.

The ideal candidate combines strong distributed systems and data platform expertise with sharp product judgment, a deep understanding of ads measurement, and the ability to influence across multiple teams.

What you’ll do:

• Drive initiatives to improve conversion measurement architecture across web, mobile app, and offline/CRM signals
• Apply AI to identify signal loss and improve measurement resilience
• Use AI to build diagnostics and explainability tools for advertisers and internal teams
• Strengthen experimentation, lift, and incrementality capabilities
• Create shared measurement primitives used by optimization, reporting, and external APIs
• Drive ecosystem integrations such as Conversion APIs, partner measurement hooks, and durable event ingestion pathways

What we’re looking for:

• 10+ years of software engineering experience, including significant experience leading large, ambiguous technical initiatives as a senior individual contributor
• Strong track record of defining architecture and driving execution across multiple teams
• Experience in one or more ads or measurement-related domains such as attribution, conversion tracking, experimentation, identity, reporting, privacy-safe systems, or causal inference platforms
• Ability to move fluidly between high-level strategy and low-level technical details
• Excellent communication and influence skills, with demonstrated ability to align cross-functional stakeholders
• Preferred qualifications
  • Familiarity with challenges such as browser and platform signal loss, event quality, deduplication, attribution windows, delayed conversions, and modeled measurement
  • Experience partnering closely with data scientists and applied scientists on measurement methodology or model-backed systems
  • Experience building advertiser-facing or partner-facing systems where explainability and trust are critical
  • Strong product sense for balancing scientific rigor with practical usability and speed

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 require in-person collaboration in the office approximately three times per week. Candidates should be within commuting distance of one of the following offices: Seattle, Palo Alto, or San Francisco.

#LI-HYBRID 

#LI-AG8

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

The Programmatic Ads team integrates with external demand partners (DSPs, SSPs, etc) through OpenRTB. We drive performance optimization (latency, conversion, engagement, fill rate, etc) for our programmatic ad products. We are also responsible for building internal tools to better enable cross-functional teams. 

What you’ll do:

• Lead one or two partner integrations, and work closely with product managers, data scientists, other cross-functional teams, and external partners to understand business requirements and translate them into technical solutions.
• Use AI to accelerate team execution, system design, and decision-making, applying sound judgment to validate outputs and ensure correctness and quality.
• Independently drive the full software development lifecycle, including ideation, technical design, prototyping, development, and release.
• Independently drive problem-solving and product iterations by utilizing A/B testing.
• Establish and maintain a high standard for technical excellence and production quality. 
• Mentor junior engineers on the team and provide design and coding feedback.

What we’re looking for:

• Bachelor’s degree in computer science, a related field or equivalent experience
• 8+ years of hands-on backend software engineering experience in large-scale distributed systems.
• Passion for working on ad products work. 
• Excellent communication and stakeholder alignment skills.
• Strong problem-solving skills and analytical mindset, with the ability to use data to guide decisions
• Experience with ad serving platform, ad exchange, supply-side platform, or demand-side platform.
• 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.
• 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).

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 twice a month, therefore needs to be in a commutable distance from the Seattle 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-AG8

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

The Conversion Visibility pod enables a performant ads marketplace and helps prove value to advertisers by connecting on-Pinterest intent with offsite conversions in a privacy-preserving way. We are hiring a Staff Software Engineer to lead the backend architecture and implementation of a GenAI-powered Conversion Health agent, using Event Quality Scores and conversion data to proactively detect issues, recommend and automate fixes, and demonstrate measurable performance impact for advertisers. 

What you’ll do: 

• Own the design and implementation of the Conversion GenAI agent: services, data flows, and retrieval layers that let agents reason over EQS, conversion funnels, and their impact on performance at scale.
• Evolve the existing GenAI Applications: harden prompts and tools, improve retrieval quality, add evaluation and safety checks, and make the agent reliable enough for always-on monitoring and decision support and make the impact on ad performance and efficiency clear.
• Design how the sub-agent connects with downstream ads products (PCL, ROAS bidding) and internal tools, including APIs, contracts, and workflows that surface product‑aware alerts and ranked recommendations to identify opportunities and power performance lifts.
• Consolidate and structure the measurement context layer—matched and attributed conversion tables, enrichment pipelines, and existing tools—into high-quality, AI-consumable signals the agent can query and reason over.
• Partner with Product, Operations, Sales, and other ads product teams to translate measurement pain points into agent skills (e.g., diagnosing EQS drops, PCL readiness, partner‑specific issues) and iterate quickly on internal-first experiences before expanding to advertiser-facing use cases.
• Lead an evolving GenAI culture and collaboration model across orgs: navigate ambiguity in a rapidly changing AI landscape to identify high-ROI patterns, codify pragmatic guardrails and workflows, and evolve how we collaborate so AI tooling translates into sustained gains in engineering velocity, measurement quality, and advertiser performance—not just isolated experiments.

What we’re looking for:

• 8+ years of backend or full-stack software engineering experience building large-scale distributed systems, services, and data pipelines, ideally in ads, measurement, or similar data-intensive domains.
• Proven track record shipping GenAI- or ML-powered products end-to-end (agent or model integration, retrieval, evaluation, safety/guardrails, and online/offline metrics).
• Required prior ads domain expertise, preferably in measurement, including conversion tracking, attribution, signal enrichment pipelines, and familiarity with concepts like ROAS, CPA, and campaign optimization. Strong bias toward business outcomes, with a track record of tying technical work to performance, measurement quality, and operational efficiency metrics.
• Strong proficiency in product scoping, data analysis and experimentation (e.g., SQL over large datasets, experiment design, cohort analysis) to connect conversion-health interventions to performance outcomes like ROAS, CPA, and PCL validity.
• Demonstrated technical leadership across teams: scoping ambiguous problems, aligning with product and XFN partners, and driving complex initiatives from vision through launch with clear documentation and communication.
• Experience upleveling engineers in AI tooling and best practices, including setting team-wide standards, templates, or processes for building and evaluating AI-assisted workflows.
• 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 time per week and therefore needs to be in a commutable distance from one of the Seattle offices.

#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

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

Within the Ads Delivery team, we try to connect the dots between the aspirations of pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the Pinterest marketplace. You will design and implement systems that improve the ads delivery funnel, experiments that shape the utility function, auction mechanism design, ad allocation and for deriving new insights through analysis of the marketplace dynamics. In short, this is a unique position, where you’ll get the freedom to work to bring together pinners and partners in this unique marketplace.

What you’ll do:

• Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
• Define and implement experiments to understand long term Marketplace effects.
• Develop strategies to balance long and short term business objectives.
• Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.

What we’re looking for:

• Degree in Computer Science, Machine Learning, Statistics or related field.
• 10+ years of professional experience as a hands-on engineer and technical leader leading multiple projects.
• Strong software engineering and mathematical skills with knowledge of statistical methods.
• Hands-on experience with large-scale online e-commerce systems is a plus.
• Background in computational advertising is preferred.
• Nice to Have:
  • 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

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/month, and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.

Relocation Statement:

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

#LI-HYBRID 

#LI-SM4

We’re looking for an Engineering Manager I to lead a high-impact team building and supporting Pinterest’s mid-funnel ad products, including Max-Width Collections, Promoted Board Takeover, Collage Ads, Ads Modules, Showcase Ads, and Quiz Ads. This role owns a portfolio of revenue-critical, time-sensitive products and is responsible for driving both the technical direction and execution needed to deliver high-quality, scalable solutions.

What you’ll do: 

• Lead an engineering team delivering mid-funnel ad products end to end, ensuring projects are well-scoped, de-risked, and shipped on time with strong performance against target metrics.
• Drive initiatives to apply AI across mid-funnel ad products, using AI to accelerate prototyping, experimentation, and iteration while maintaining quality and safety.
• Champion AI adoption in developer workflows, using AI to automate repeatable tasks (e.g., testing, documentation, code reviews) and improve engineering velocity and capacity.
• Use AI to synthesize complex inputs (metrics, experiments, user feedback, incidents) into clear insights that inform roadmap, tradeoffs, and technical decisions.
• Serve as the engineering owner for this workstream: define the technical roadmap, architecture, and long-term vision in partnership with cross-functional partners (PM, Design, DS, PMM).
• Actively contribute code and lead implementation of key projects, setting a high technical bar and modeling best practices in design, testing, and observability.
• Build and maintain a healthy, high-trust team culture, providing coaching, feedback, and career development support to engineers at different levels.
• Partner closely with cross-functional stakeholders to align on priorities, manage dependencies, and communicate progress, risks, and outcomes clearly.
  
  

What we’re looking for:

• 5+ years of industry experience building complex and user-facing products, with clear accountability for timelines, quality, and business impact.
• 1+ years of experience leading or managing engineering teams, including setting direction, driving execution, and supporting team members’ growth.
• Demonstrated experience using AI to improve speed and quality in your day-to-day engineering workflow (e.g., prototyping, code generation, test creation, documentation), with a clear approach to validating accuracy and robustness.
• Strong track record of critically evaluating AI-assisted work through testing, source-checking, data validation, and peer review; you know when to trust, when to verify, and when to override.
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain fully accountable for final decisions, shipped systems, and team outcomes.
• Strong hands-on technical background in ads or similarly high-scale domains, including designing and implementing core components in production.
• 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. Preference for commutable distance from one of the following offices: Palo Alto, CA or San Francisco, CA.

#LI-HYBRID

#LI-CL5

We’re seeking a talented Manager II, Engineering to take on a leadership role within the Programmatic Offsite Ads team. You will lead critical efforts to define, build, and evolve the ad features which power Pinterest’s ads business through off-platform supply partnerships.

You will be responsible for defining the strategic vision and roadmap for programmatic ads delivery. This includes driving advertiser performance and ensuring that ads are served across high-quality supply, all while adhering to industry standards for programmatic demand.

The Programmatic Offsite Ads team is part of Pinterest’s broader Programmatic Ads strategy working closely with the larger Monetization organization. We own and operate infrastructure which drives ad buys through OpenRTB standards. We partner with internal infra and ML teams to ensure off platform ads are delivered reliably and efficiently at scale. 

What you’ll do:

In this pivotal role, you will take on the challenge of defining and executing the offsite ads strategy for programmatic ads at Pinterest.

• Own the end‑to‑end strategy and roadmap for driving programmatic off-platform ads delivery, driving high‑quality outcomes which meet advertiser expectations.
• Partner closely with Product, Design, Research, Sales, Policy, and the broader Monetization org to define new product features, and advertising experiences that balance user delight, advertiser outcomes, and platform integrity.
• Lead experimentation and optimization of advertising campaigns, using A/B testing and rigorous measurement (e.g., viewability, engagement, conversion, advertiser performance, user sentiment) to drive continuous improvement.
• Work with external supply partners to ensure our off-platform ads are well‑supported in the programmatic ecosystem, and that Pinterest’s creatives adhere to performance standards.
• Collaborate with serving, infra, and ML teams to ensure that programmatic ads are backed by robust infrastructure, measurement, and policies
• Lead mission‑critical initiatives involving 8-10 engineers across backend and frontend stacks, and directly influence their day‑to‑day work through mentorship, coaching, and clear technical direction.
• Build and maintain a culture of inclusivity, craft, and operational excellence within the Programmatic Offsite Ads team.
• Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations
• Use AI to accelerate analysis, iteration, experimentation and time to market while applying judgment and verification to ensure correctness and quality

What we’re looking for:

• BS (or higher) degree in Computer Science, or a related field.
• 2-3+ years of relevant engineering management experience.
• 3-4+ years of relevant industry experience within the ads domain
• Experience designing or delivering high scale, real time distributed systems
• Working knowledge of programmatic advertising and OpenRTB (DSPs/SSPs, auctions, targeting, measurement), and experience partnering with external platforms
• Proven track record partnering with Product and Design to define new product features, run experiments, and use data to iterate on performance outcomes.
• Rich experience working cross‑functionally to drive alignment, oversee execution, and secure deliverables across Product, Design, ML, Infra, Sales, and external partners.
• Build storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
• Experience mentoring, guiding, and upleveling engineers, including senior ICs
• Strong communication skills and the ability to articulate product strategy and tradeoffs to both technical and non‑technical stakeholders.
• Strong commitment to building inclusive teams and fostering a sense of belonging.

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: 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-KBF

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you’ll do:

• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
• Work in a high-impact environment with quick experimentation and product launches
• Keep up with industry trends in recommendation systems 
• Leverage LLMs to enhance content understanding

What we’re looking for:

• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
• Degree in computer science, statistics, or related field; or equivalent experience
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
• Nice to have:
  • M.S. or PhD in Machine Learning or related areas
  • Publications at top ML conferences
  • 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
  • Expertise in scalable realtime systems that process stream data
  • Passion for applied ML and the Pinterest product
  • Background in computational advertising

Relocation Statement: 

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

#LI-HYBRID

With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you’ll do:

• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
• Work in a high-impact environment with quick experimentation and product launches
• Keep up with industry trends in recommendation systems 
• Leverage LLMs to enhance content understanding

What we’re looking for:

• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
• Degree in computer science, machine learning, statistics, or related field
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
• Nice to have:
  
  • Publications at top ML conferences
  • 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
  • Expertise in scalable realtime systems that process stream data
  • Passion for applied ML and the Pinterest product
  • Background in computational advertising

Relocation Statement:

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

#LI-HYBRID

#LI-SM4