Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Own product strategy, roadmap, and requirements for customer support, identity, age assurance, moderation, case management, enforcement, and platform integrity tooling. Partner with Engineering, Operations, Legal, and Policy to define automation, safeguards, integrations, metrics, appeals, and compliance workflows. Lead build-versus-buy decisions, launch readiness, and cross-functional delivery for a consumer app involving prizes, payments, and younger users.

Build and ship full-stack customer experience, fraud, and safety tooling for support, investigations, moderation, and abuse detection. Own features from development through deployment, integrate vendor APIs, and maintain reliable production systems that protect users and support teams. Work across frontend and backend using AI coding tools, translating evolving trust, safety, and compliance needs into scalable data models and workflows.

Design and execute product analyses using raw user behavior data, own A/B experiments from design through interpretation, and translate findings into recommendations for product and engineering teams. Build repeatable analytical tooling, apply statistical modeling, and use AI tools to accelerate exploration, analysis, and insight delivery across consumer products, media, gaming, and e-commerce.

Lead the end-to-end design of a new, AI-first consumer membership app serving a large global audience. Responsibilities include defining product workflows and roadmap, designing onboarding and retention loops, developing achievement systems and digital and real-world economies, rapidly iterating with AI tools, and shipping a scalable, gamified consumer product from zero to one.

Lead end-to-end data science projects to build, validate, and deploy statistical and machine learning models. Drive experimentation, causal analysis, and decision-support analytics for product and business stakeholders, mentor junior team members, and partner with engineering to productionize models and measurement frameworks.

Own the strategy, roadmap, architecture, and adoption of the company’s central data infrastructure and BI platform. Partner with analytics, engineering, and business teams to establish trusted KPI reporting, semantic models, scalable warehousing, BI and ETL tooling, clear SLAs, and AI-powered self-service insights. Translate ambiguous needs into testable requirements, evaluate technical solutions, prototype quickly, and measure adoption, quality, and reporting efficiency.

Lead end-to-end product design for a zero-to-one consumer membership app serving over 100 million users. Responsibilities include defining product workflows and roadmaps, designing retention loops such as onboarding and achievement systems, shaping digital and real-world economies, using AI tools to accelerate iteration, and shipping a scalable, highly interactive consumer product.

Build and operate high-volume telemetry and analytics data pipelines supporting real-time monitoring, product decisions, experimentation, and user experience analysis. Design event instrumentation, schemas, quality checks, deduplication, late-event handling, and identity stitching. Partner with data science, product, and SRE teams to shape requirements, and integrate AI tooling into development and data quality workflows.

Lead design and build of end-to-end customer support and platform integrity for a new consumer app: operating model, vendor strategy, SLAs, incident response, metrics, AI-augmented automation, cross-functional partnership, and continuous improvement to ensure safety, fairness, and high-quality user support.

Lead the zero-to-one build of customer support and platform integrity for a consumer app: design operating model, SLAs, escalation, vendor strategy, metrics, AI-augmented automation, tooling, and cross-functional alignment to ensure safety, fairness, and excellent user outcomes.