Top Tech Jobs & Startup Jobs

Manage and grow enterprise advertiser accounts on Pinterest by advising on ad products, targeting, bidding, creative, and measurement. Translate goals and data into actionable media strategies, optimize campaigns, build partner relationships, identify new revenue opportunities, and represent Pinterest in client meetings.

Lead a cross-platform team owning image rendering and video playback across apps and web. Set technical direction, improve media load times and playback smoothness, guide platform and architectural decisions, hire and develop engineers, and drive engineering excellence in performance, testing, and reliability while partnering with product, infrastructure, and data teams.

Lead Pinterest's US agency business for WPP agencies, grow revenue, build C-level agency relationships, drive agency adoption of Pinterest ad products, run business reviews, analyze metrics, and use AI to streamline insights and presentations.

Lead technical vision and development of large-scale, low-latency DNN models for ads conversion. Mine text, visual, and user signals, use LLMs and AI tools to accelerate analysis, automate workflows, and mentor engineers while collaborating on new ad products.

Partner with engineering and cross-functional teams to measure, analyze, and optimize Pinterest's infrastructure. Build metrics, dashboards, and measurement systems; improve data quality and pipelines; design experiments and deep dives to quantify infrastructure changes; translate ambiguous technical problems into actionable analyses; and support investigations on performance, reliability, cost, and measurement quality.

Lead technical vision and roadmap for Pinterest's AI Platform. Architect petabyte-scale data orchestration, model training/fine-tuning, and high-performance inference for Generative AI and Recommender Systems. Drive cross-functional initiatives, influence architecture across the company, and cultivate an inclusive engineering culture focused on quality and ownership.

Develop and fine-tune vision-centric large language models and visual encoders, build evaluation benchmarks, collect and prepare visual training data (including for RLHF), prototype architectures for production VLMs, publish research, and mentor junior researchers within a small applied ML research team.

Lead multi-platform Search product and front-end strategy across iOS, Android, and Web. Design and ship end-to-end search and shopping experiences, partner with product, design, ML, infra, and back-end teams, use AI/LLMs to prototype and iterate, define architecture and best practices, mentor engineers, and drive measurable improvements via experimentation and data.

Drive applied ML research and build data-driven models for LLMs, multi-modal vision, GNNs, NLP, recommender systems and ranking. Write production-quality code, analyze data, scope and independently solve moderately complex problems, and collaborate cross-functionally.

Lead technical strategy and execution for large-scale indexing and retrieval infrastructure across Core, Ads, and Shopping. Drive architecture modernization, cross-org alignment, shared platform capabilities, mentoring, and use of AI to accelerate design, prototyping, and operational excellence.