Top Tech Jobs & Startup Jobs

Lead the technical strategy for Performance Ads Formats, design scalable ad products, mentor engineers, and collaborate across functions to drive measurable business outcomes.

Lead architecture and implementation of AI/ML production systems for Growth: APIs, data pipelines, evaluation and monitoring. Partner with ML/research teams to productize models, build cross-team foundations (eval, content quality, agent platforms), manage latency/cost/quality tradeoffs, ship at scale, and mentor engineers as a peer Staff IC.

Lead performance strategy for a portfolio of global accounts, leveraging AI to drive analysis and experimentation. Own optimization, troubleshooting, playbook development, and dashboarding. Partner cross-functionally with Sales, Customer Success, Ad Ops, Measurement, and Product to drive adoption and revenue growth, support reporting and QBRs, and mentor others on performance strategy.

Lead cross-functional teams to define and execute high-impact ad format products that drive user action and advertiser outcomes. Evolve formats, balance stakeholder trade-offs, leverage data and AI tools, and own business metrics for a portfolio of ad experiences.

Lead product vision and execution for tvSci's CTV creative tooling across asset ingestion, generation, variant production, and creative-aware optimization. Build tools to turn brand assets into TV commercials, integrate creative signal into prediction models, partner with commercial teams for adoption, use generative AI for prototyping, and represent tvSci externally on AI-driven creative technology.

Lead data science work for a CTV/adtech platform: write production Python code, design and analyze experiments, build reporting and analytics tools, translate insights into product, and collaborate with stakeholders to optimize ad campaigns.

Partner with corporate functions to discover AI automation opportunities, design end-to-end agentic AI solutions, build production-quality Python services with CI/CD, monitoring and guardrails, pilot and drive adoption, ensure responsible data handling, and create reusable components and documentation for enterprise AI workflows.

Lead cross-functional Search, Relevance, and Merchant ML/AI programs: define strategy, manage multi-stream technical delivery, measure search quality, mentor TPMs, scale headcount and roadmaps, and operationalize AI-first workflows and governance to improve search and shopping experiences.

Design and scale observability infrastructure (metrics, logs, traces), build high-performance data pipelines and storage, define product roadmap for observability, establish standards and instrumentation patterns, mentor engineers, lead architecture and cross-functional collaboration, and evaluate/adopt new observability tools and ML-driven anomaly detection.

Design and implement Pinner-facing iOS features, lead product development from ideation to release, prototype and run A/B tests, architect scalable solutions, collaborate with design/product/backend teams, write reliable maintainable code with automated testing, and responsibly leverage AI to accelerate work and synthesize information.