Jobs at Pinterest

Leads strategic qualitative and mixed-methods research for Pinterest Ads, uncovering advertiser and user needs, shaping product strategy and roadmaps, and influencing senior leadership. Owns research agendas, selects appropriate methods, synthesizes findings, presents recommendations, leads cross-team initiatives, evaluates sustained research investments, applies AI to research workflows, and mentors researchers. Partners closely with Product, Design, Engineering, Data Science, and quantitative researchers.

Design, implement, and optimize Pinterest’s large-scale batch processing infrastructure. The role focuses on Spark, Presto/Trino, Iceberg, and other big data technologies operating across hundreds of petabytes. Responsibilities include collaborating with data stakeholders, leading technical initiatives, mentoring engineers, and ensuring data systems are reliable, scalable, and efficient.

Own the strategy and execution of Pinterest advertising products that use identity, conversion, and measurement signals to improve customer acquisition, incrementality, and bidding optimization. Lead multi-quarter product roadmaps and collaborate with engineering, data science, design, research, marketing, sales, legal, privacy, and policy teams. Develop privacy-durable measurement solutions grounded in attribution, experimentation, causal measurement, and advertiser business outcomes.

Own Pinterest’s strategy and roadmap for combating deceptive commerce content, including scams, fake storefronts, AI-generated abuse, and misleading merchant content. Define metrics, detection and enforcement approaches, and partner with Policy, Engineering, Data Science, Operations, Monetization, and Adversarial/Spam teams. Lead ML-powered detection products, manage enforcement tradeoffs, analyze adversarial dynamics, and drive cross-functional alignment to protect users while limiting false positives.

Own Pinterest’s company-wide strategy for detecting and enforcing against bots, account takeovers, spam, and other adversarial behavior. Define multi-year roadmaps, develop ML-powered detection and enforcement systems, establish measurement strategies, and coordinate investment across Policy, Operations, Engineering, Data Science, Security, and Identity teams. Lead executive alignment while balancing enforcement effectiveness with false-positive user impact.

Lead technical direction for Pinterest’s foundational machine learning capabilities in visual representation learning, multimodal content understanding, and LLM-based personalization. Drive initiatives from research and experimentation through productionization and adoption. Build reusable embeddings, models, semantic signals, and ML infrastructure using distributed training and data pipelines. Collaborate across product, engineering, data science, and applied science while mentoring technical teams and guiding multi-quarter roadmaps.

Own the vision, roadmap, and requirements for Pinterest’s ads quality ranking and optimization systems. Partner with engineering, machine learning, data science, design, research, PMM, sales, and policy teams to improve ad retrieval, ranking, bidding, pacing, measurement, and marketplace outcomes. Define experiments, guardrails, success metrics, and technical requirements; coordinate launches from discovery through adoption while balancing advertiser value with a safe, delightful Pinner experience.

Lead the multi-year strategy and roadmap for Pinterest’s content-to-discovery infrastructure, spanning content acquisition, catalog onboarding, processing, enrichment, freshness, search and shopping indexing, and retrieval. Partner with engineering, data science, content, shopping, and search teams to improve data quality, relevance, reliability, latency, and scale. Mentor peer product managers and influence cross-functional technical initiatives without direct people management.

Leads Pinterest’s App Promotion engineering team through App Install Optimization beta-to-GA delivery. Owns the engineering roadmap, advertiser experience, measurement accuracy, experimentation, reporting, operational excellence, and cross-functional execution across Ads, ML, Measurement, Product, and Design. Manages, hires, coaches, and develops a team of 5–6 full-stack and mobile engineers while driving scalable production systems and inclusive team culture.

Lead Pinterest’s Fashion advertising sales strategy, grow media investment and revenue, build executive advertiser and agency relationships, and develop a high-performing sales team. Partner cross-functionally with product, engineering, marketing, and sales operations to deliver measurable brand and performance outcomes. Analyze business metrics, forecast revenue, communicate trends to leadership, and shape scalable partnerships with US fashion advertisers.

Build and lead full-stack and backend monetization features for Pinterest, from ideation and prototyping through implementation, testing, scaling, and release. Partner with product managers, designers, and engineers to develop reliable consumer-facing experiences, run A/B tests, architect scalable solutions, and contribute product ideas serving millions of users.

Own the vision, roadmap, requirements, and delivery of Pinterest’s ads quality ranking and optimization capabilities. Partner with engineering, machine learning, data science, design, research, marketing, sales, and policy teams to improve ad retrieval, ranking, bidding, pacing, measurement, and marketplace outcomes. Define experiments, guardrails, success metrics, and launch plans while balancing advertiser value with a safe, relevant Pinner experience.

Build full-stack, backend, and consumer-facing monetization features for Pinterest. Lead product development from ideation and prototyping through A/B testing, technical design, implementation, and release. Collaborate with product, design, and engineering teams; develop scalable systems for millions of users; apply automated testing; maintain reliable code; and propose innovative product ideas.

Conduct cutting-edge machine learning and AI research applied to Pinterest products. Interns lead projects, develop and evaluate production ML systems, work across algorithms, data engineering, infrastructure, training, inference, and product integration, and write sustainable code. They will use AI-assisted development tools, validate generated outputs for correctness and security, investigate bugs, collaborate with researchers and engineers, and communicate solutions to open-ended technical problems.

Data Science interns will use quantitative analysis, statistical modeling, data mining, experimentation, and exploratory analysis to understand user behavior, identify product opportunities, and develop actionable insights. They will design metrics, evaluate A/B tests, explore experimentation methods, analyze user and advertiser preferences, and collaborate with product, engineering, design, and research teams to influence Pinterest’s product roadmap.

Conduct machine learning and AI research applied to Pinterest problems. Build and improve large-scale production ML systems spanning algorithms, infrastructure, data engineering, training, inference, and product integration. Develop clean code, validate AI-generated outputs, use AI-assisted engineering tools, investigate bugs, and independently deliver projects while collaborating with engineering and research teams.

Data Science interns will use exploratory analysis, statistical techniques, modeling, data mining, and experimentation to understand user behavior, develop product metrics, evaluate A/B tests, and identify product opportunities. They will collaborate with product managers, engineers, designers, and researchers, translating analytical insights into product improvements and business impact while thoughtfully using and validating AI-assisted approaches.

Leads Pinterest’s advertiser measurement and signal-quality engineering organization, defining multi-year strategy across machine learning, data platforms, experimentation, privacy, and reliability. Manages managers and senior technical leaders, partners with product and cross-functional teams, drives scalable solutions for advertiser challenges, improves model quality and data integrity, establishes governance mechanisms, communicates with executives, and builds an inclusive high-performing organization.

Design and develop machine learning algorithms for target ROAS, automatic bidding, and ads pacing. Explore bid landscapes, optimize advertiser value and revenue, conduct A/B experiments, and collaborate with product, sales, and engineering teams on new ad products and bidding strategies. Provide staff-level technical leadership, drive cross-team alignment, and use AI-assisted development and productivity tools to improve engineering workflows.

Leads the technical vision and execution of Pinterest’s large-scale indexing and retrieval infrastructure across Core, Ads, and Shopping. Drives architecture modernization, real-time and incremental retrieval, shared platform capabilities, metrics, debugging workflows, and improvements in relevance, freshness, reliability, coverage, and cost. Partners across engineering, product, ML, and infrastructure organizations, mentors senior technical staff, and validates AI-assisted engineering work with strong attention to correctness, privacy, safety, and operational excellence.