Top Tech Jobs & Startup Jobs

Apply quantitative modeling, experimentation, and ML to product and business problems. Build analysis pipelines, prototype models, instrument experiments, manipulate large web-scale datasets, and communicate insights to cross-functional partners to improve Pinterest products for millions of users.

Lead technical partner integrations and provide expert support for Pinterest APIs and business products. Own end-to-end engineering projects, on-call support, monitoring, tooling, and cross-functional partner relationships while mentoring junior team members and driving AI-driven automations.

Lead design and implementation of performance marketing backend systems: ad integrations, event pipelines, attribution and measurement, bidding and budget optimization, reliability for spend-critical systems, cross-team coordination, and mentoring engineers. Drive measurement methodology, privacy-resilient approaches, and use of AI to accelerate work.

Partner with engineering and cross-functional teams to define and measure infrastructure health, build metrics and dashboards, improve data foundations and pipelines, design experiments, run investigations into performance/reliability/cost, and translate ambiguous technical problems into actionable recommendations.

Lead backend architecture and implementation of a GenAI-powered Conversion Health agent: design services, data flows, retrieval layers, and AI-consumable measurement signals. Improve agent reliability, evaluation, and safety; integrate with downstream ads products and tools; partner cross-functionally to translate measurement pain points into actionable agent skills and demonstrate measurable ad performance impact.

Lead strategy and roadmap for Collaboration & Productivity tools used by 9,000+ employees. Partner with IT engineering, stakeholders, and SaaS vendors, define KPIs, drive adoption, and operationalize AI use cases while ensuring data integrity and business impact.

Lead product analytics for Pinner engagement: design measurement frameworks, run A/B and multivariate experiments, build dashboards, analyze product and marketing performance, and communicate actionable insights to cross-functional stakeholders to drive product adoption and lifecycle strategy.

Design and build CTV advertising simulation environments and AI agents to model auctions, bidding strategies, and campaign outcomes. Develop counterfactual and what-if frameworks, use simulation to validate ML deployments, define technical direction for simulation and AI infrastructure, and mentor engineers. Drive end-to-end ownership of systems and apply modern AI tools to accelerate development while ensuring rigorous verification and data protection.

Design and implement scalable data infrastructure in AWS using Spark and Scala. Evolve core data pipelines, store data in optimal engines/formats, build knowledge graphs and APIs, optimize AWS resources, implement automated data quality checks, and collaborate with Data Science and Product teams to deliver reliable, large-scale data services.

Design, implement, and optimize Pinterest's batch processing infrastructure using large-scale open-source big data technologies. Collaborate with cross-functional teams to meet data needs, lead technical projects, mentor junior engineers, and ensure reliability, scalability, and efficiency of data systems handling petabyte-scale workloads.