Top Tech Jobs & Startup Jobs

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.

Design, build, and maintain backend services for contract lifecycle and billing (CPA and CPM models). Develop APIs, ensure auditability and data integrity, improve observability and reliability, partner with Product/Finance/Data, own services and data models, lead technical design, and mentor engineers.

Develop and prototype large-scale text-to-image generative models (Pinterest Canvas), collaborate on multimodal embeddings, collect and prepare visual training data (including RLHF and fine-tuning), ship models to production, publish research, and mentor junior researchers.

Design and implement scalable AWS-based data infrastructure using Spark and Scala. Build fault-tolerant batch and streaming pipelines, optimize storage formats and engines, collaborate with Data Science and Product, implement automated data quality checks, and deliver performant data assets and APIs.

Design and ship UI for Pinner activation flows (login, signup, conversion upsells). Collaborate with PMs, engineers, and data partners to run fast experiments, build and iterate product experiences across mobile and desktop, uphold design quality, and incorporate AI-powered tools to scale systems and cross-functional collaboration.

Lead design and implementation of Pinterest's exabyte-scale data lake storage and metadata systems. Drive architecture and execution for scalable storage features supporting large ML/AI workloads, collaborate across data/ML/infrastructure teams, and contribute to open-source projects (Iceberg, Spark, Flink).