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

Data Scientist Intern will analyze large-scale datasets, design A/B experiments, improve experimentation and analytics tooling, and translate insights into product recommendations. The role involves collaboration with Data Science, Product, and Engineering teams, use of SQL and Python, statistical analysis, AI-assisted workflows, and presenting findings to leadership. This hybrid internship runs June 1 through August 31, 2027, with three in-office days weekly in San Francisco.

Own the design, roadmap, security, observability, and production operations of Tinder’s internal AI agent platform. Build gateways, MCP connectors, identity and delegation systems, fine-grained authorization, guardrails, audit trails, evaluation workflows, cost attribution, and reliable runtime infrastructure. Partner with Security and internal engineering teams, lead incident response and on-call operations, establish connector standards, and mentor engineers building on the platform.

Own full-cycle recruiting for senior and leadership roles, advise executives and hiring teams, develop hiring strategies, improve interview and calibration processes, conduct talent mapping, source passive candidates, guide offer decisions, promote inclusive hiring, strengthen candidate experience, and mentor recruiters. The role also uses market intelligence and recruiting analytics to improve hiring outcomes and supports employer branding initiatives.

Drive cross-functional technical programs across Tinder’s recommendations, revenue, and engagement teams. Own planning through launch, manage dependencies and risks, coordinate Product, Engineering, Design, Analytics, and business partners, and communicate program health to leadership. The role covers recommendation infrastructure, subscriptions, payments, advertising, lifecycle messaging, and CRM platforms while maintaining delivery quality and velocity across global mobile, backend, ML, and web initiatives.

Build and ship applied AI tools for legal work: identify high-impact opportunities, prototype agents and retrieval systems, integrate with enterprise data and systems, measure quality against human baselines, and train and onboard lawyers. Partner with Legal Ops, IT, Security, and product teams to iterate, evaluate, and scale AI-native legal capabilities across Match Group.

Lead identity and access security across a global portfolio, including authentication, authorization, non-human identities, PAM, JIT access, and Cloudflare ZTNA. Design Okta policies, integrate endpoint and SaaS security signals, manage identity governance and compliance, and automate security workflows using infrastructure-as-code, scripting, and AI tooling. Influence cross-functional teams, modernize access controls, and drive complex security initiatives to completion.

Leads Match Group’s Growth Technology organization across MarTech engineering, marketing data foundations, technical program management, and organic growth. Sets strategy, roadmap, investment priorities, and build-versus-buy decisions while managing a multidisciplinary team. Oversees marketing measurement, audience activation, experimentation, AI-powered automation, performance intelligence, SEO, ASO, GEO, and AI Search capabilities. Partners with Marketing, Product, Engineering, Data, Analytics, and AI/ML leaders to scale growth platforms across a global portfolio of consumer brands.