Top Tech Jobs & Startup Jobs

Lead the Content and User Understanding ML organization, set multi-year ML/AI vision and technical strategy, drive VLM/LLM and large-scale deep learning innovation, ensure scalable deployment across product surfaces, partner with product and engineering for business impact, and hire and develop managers and engineers.

Lead design and implementation of large-scale recommendation and decisioning systems for advertiser and seller workflows. Build unified context layers and agent foundations, own end-to-end ML lifecycle from problem framing to deployment, develop evaluation and feedback loops, apply retrieval/ranking/embeddings and agentic AI techniques, and mentor engineers while driving multi-quarter ML roadmaps.

Lead cross-functional Monetization Data Science programs to build a trusted SSOT, instrumentation, production data pipelines, and self-serve analytics. Drive automation, monitoring, governance, and input-metrics cadences, run deep-dive analyses, and embed AI-first workflows and safety-by-design for scalable decision-making and reduced operational toil.

Design, build, and operate backend services and large-scale distributed systems powering Pinner-facing features. Partner with product, design, and data teams to implement GraphQL APIs, convert REST to GraphQL, improve developer productivity, employ automated testing and A/B experiments, and leverage AI to accelerate and validate engineering work from prototype to production.

Lead global B2B Mid-Market marketing for Pinterest: build and scale a Mid-Market marketing team, set strategy, execute lifecycle and account-based marketing programs, partner cross-functionally with Sales and Product, run experiments, and leverage AI to improve efficiency, measurement, and decision-making.

Own and evolve spam enforcement guidelines and workflows, manage BPO/vendor performance and KPIs, lead complex escalations, partner with Product/Data on ML signals, drive automation and AI use cases to reduce manual review, and produce clear enforcement documentation for cross-functional stakeholders.

The Lead Client Partner drives revenue growth by building relationships with top-tier clients, developing sales strategies, and providing product expertise in digital advertising solutions.

The position involves driving AI/ML product development for personalized experiences, partnering across teams, and launching impactful products.

The Client Partner II manages Mid-Market advertiser relationships, driving revenue through digital advertising solutions, and requires strong sales and analytical skills.

The Machine Learning Engineer will develop and improve ML models for product surfaces, build data processing pipelines, and leverage machine learning technologies in advertisements.