Find work
that fits
your next move.

What you’ll do As the Senior Technical Program Manager, Personalization , you will: • Own a portfolio of personalization programs that span recommendation platforms, ranking and optimization strategies, and new anticipatory experiences (e.g., unified landing pages, intelligent/AI-generated boards), with clear goals, milestones, and success metrics. • Drive cross-surface execution so that personalization improvements can scale efficiently across multiple experiences (e.g., Homefeed, Explore, SEO landing pages, board and shopping surfaces), working closely with product and engineering owners in each area. • Partner with Relevance and Data Science to ensure our ranking and modeling work prioritizes long-term value and revisitation (not just short-term clicks), and that experiment learnings systematically inform future roadmap and investment decisions. • Design and run the operating model for personalization —creating cadences, dashboards, and decision forums that give leaders and teams a clear view of program health, risks, dependencies, and tradeoffs across the personalization portfolio. • Align stakeholders across organizations (Relevance/ML, product surfaces, infra, curation, growth) when there are competing priorities or ambiguous ownership, and drive crisp, data-backed decisions that keep the personalization roadmap moving. • Communicate complex work simply , turning deeply technical modeling and platform efforts into clear narratives about impact on Pinners (discovery quality, relevance, anticipatory experiences) and on the business (engagement, retention, revisitation). • Use GenAI as a default PgM tool —starting from AI-assisted drafts for core artifacts (charters, plans, status, decision memos) and redesigning high-toil PgM workflows (status synthesis, RAID tracking, intake triage) into AI-first mechanisms where it’s safe and effective to do so. • Prototype lightweight AI-assisted helpers (e.g., scripts, dashboards, workflow tools) with AI coding assistants to make it easier to understand personalization experiments, surface-level performance, and program health—while adhering to Pinterest’s AI governance and safety-by-design expectations.

The Cache Infra team manages one of Pinterest's most vital backend systems, offering huge scope and impact by serving hundreds of business-critical use cases across the entire company.

We're seeking an exceptional Staff Software Engineer to join our Observability team at Pinterest. This role combines deep technical expertise in distributed systems and data engineering with a product-oriented mindset to build world-class observability solutions that empower our engineering organization.

The AI Solutions Engineer will partner with teams across Marketing, Finance, Sales, HR, Legal, and other functions to surface high-value automation opportunities, then design and ship the AI-powered tools that bring those opportunities to life.

We are seeking a data scientist with a strong background in experimentation and statistical analysis to help us improve and iterate on our experimentation platform.

You’ll help build the data foundations, measurement systems, and analytical frameworks that enable Pinterest to optimize core technical systems and make better product and infrastructure decisions.

What you’ll do • Lead a high-performing multi-team organization (50+) building Pinterest’s foundational online systems: storage, storage API, and analytics platforms leveraged by the entire company. • Create a culture of high quality and ownership; ensure systems are reliable, low-latency, and efficient as they scale globally. • Lead and deliver a cross-functional strategic initiative to modernize Pinterest’s online systems tech stack by adopting cutting-edge technologies and practices. • Define and drive the team vision and technical strategy for the next 3+ years, partnering closely with senior engineering leadership and cross-functional partners. • Champion AI adoption to accelerate system development, enhance operations, and continuously improve outcomes for internal customers and business stakeholders. • Support, coach, and develop managers and senior technical leaders across the organization, investing in their growth and success. • Collaborate with cross-functional partners (Product, Design, Data Science, PMM) to align on priorities, manage dependencies, and transparently communicate progress and risks.

As a principal engineer on the Online Systems team, you’ll join a team that powers Pinterest’s most business-critical online systems at massive scale, driving the reliability, efficiency, and evolution behind every core Pinner and Advertiser experience.

Pinterest is seeking an experienced Security Engineer to build and implement detection and response improvements and adapt to emerging threats to protect employees and infrastructure.

What you’ll do • Build, maintain and improve security tooling, automations and services that support Security Operations. • Write production-ready code, infrastructure-as-code and technical documentation with a high bar for quality and reliability. • Improve security workflows such as access controls, cloud guardrails, service hardening and inbound security requests. • Partner with engineers and cross-functional stakeholders to identify gaps and deliver practical security solutions. • Troubleshoot production issues, improve runbooks and help maintain healthy, reliable systems. • Contribute to technical designs, project plans and retrospectives, while clearly communicating progress, risks and blockers. • Use AI to speed up repeatable engineering work such as prototyping, documentation and code improvements, while validating quality and correctness. • Use AI to summarize operational signals, surface patterns and reduce manual toil, while protecting sensitive data and maintaining accountability for final outputs What we're looking for: • Experience in cloud, security, and/or software engineering including building and operating production services, automations or internal tools. • Experience in cloud infrastructure and infrastructure-as-code, especially in environments such as AWS and Terraform. • Experience in writing and reviewing production-quality code, debugging issues and delivering reliable solutions with clear documentation. • Experience in operational security, platform security or security engineering work such as access management, cloud security, service hardening or security tooling. • Experience working independently on projects with clear goals, breaking work into milestones and communicating progress and tradeoffs to teammates and stakeholders. • Demonstrated ability to use AI to improve speed and quality in day-to-day engineering work, while maintaining strong judgment and verification practices. • Strong track record of critically evaluating AI-assisted output through testing, validation, source-checking or peer review before shipping work. • Bachelor’s degree in Computer Science, Engineering or a related field, or equivalent experience.

We are looking for a Senior Data Scientist to help lead Pinterest's Trust and Safety mandate by designing the foundations for measuring the prevalence of unsafe content across the platform.

In particular, this role will be responsible for leading and making key architectural decisions regarding the development and rollout of our next generation server-driven UI framework, helping our advertisers successfully create performant and delightful ads, and participate in key strategic technical roadmap decisions for the Ad Formats Team.

Pinterest is looking for a Senior Staff Software Engineer to lead Performance Ads Formats, a team building ad products and experiences that help Pinners turn intent into action and help lower-funnel advertisers drive stronger outcomes.

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

What we’re looking for • 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.

We’re looking for a Staff Software Engineer to help us build a high-performance, efficient, and easy to use batch processing platform and infrastructure at Pinterest.

Pinterest's performance marketing engineering team owns the end-to-end systems that turn marketing dollars into measured user growth spanning attribution, bidding, budget optimization, and campaign management across major advertising platforms.

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.

As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company.

We are looking for a technically deep Engineering Manager to help define the future of the agent platform at Pinterest. Working closely with cross-functional engineering teams, product, and researchers, you'll lead a small and nimble team playing a pivotal role in architecting and scaling the systems that bring intelligent agent experiences to life.