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

Leads and scales AI engineering teams responsible for production LLM systems, agents, integrations, and shared AI platforms. Oversees architecture, delivery, reliability, cost, latency, evaluation, observability, governance, security, and operational practices. Partners with product and business leaders to prioritize investments, manage dependencies, and establish reusable engineering standards. Develops engineering leaders and drives alignment across teams while ensuring safe, scalable AI adoption.

Leads integrated B2B marketing strategy across healthcare professional, pharmaceutical, pharmacy, employer, payer, and health technology segments. Owns HCP lifecycle marketing, messaging, content, campaigns, commercialization, cross-functional programs, measurement, and executive recommendations. Develops collateral and governance, coordinates stakeholders across marketing, sales, analytics, communications, and commercial teams, and supports industry events. Drives scalable marketing practices, audience engagement, revenue growth, and measurable ROI.

Leads product strategy and full lifecycle initiatives focused on healthcare provider activation, engagement, re-engagement, and account growth. Partners cross-functionally with Design, Engineering, Data, Marketing, and business teams to define roadmaps, requirements, experiments, and success measures. Uses healthcare provider insights, quantitative and qualitative data, and responsible AI applications to improve products and business outcomes. Manages ambiguity, tradeoffs, stakeholder communication, and continuous product iteration.

Own the vision, roadmap, and delivery of AI use-case products, including LLM systems, agents, and evaluation pipelines. Translate customer and business needs into technical product requirements, make build or buy decisions, define AI quality and business metrics, and guide launches through governance and regulatory review. Lead cross-functional teams, manage executive stakeholders, establish AI product standards, mentor product managers, and ensure product quality, safety, adoption, and impact.

Develop and execute digital experience strategies, CRO roadmaps, landing-page optimization, and A/B or multivariate testing for GoodRx growth initiatives. Analyze performance data using experimentation and analytics tools, collaborate with Marketing, Product, Design, Engineering, SEO, CRM, and Legal, and lead AI-enabled workflows to improve conversion, engagement, subscriber growth, retention, and delivery efficiency.

Leads go-to-market activation for GoodRx HCP and DTC media offerings. Translates strategy into launch plans, positioning, packaging, sales enablement, training, and field-ready materials for pharmaceutical brands and agencies. Coordinates cross-functional execution across Sales, Product, Analytics, Marketing, Legal, Client Success, and Revenue Operations. Builds commercial narratives, supports pitches and RFPs, gathers market feedback, and develops repeatable commercialization and enablement frameworks.

Supports broad-reach paid media and integrated marketing campaigns across television, streaming video and audio, radio, and podcasts. Responsibilities include analyzing channel performance, recommending optimizations, monitoring digital marketing results, managing budgets and pacing, handling invoicing, building tracking assets, supporting campaign planning and launches, conducting competitive analysis, and presenting performance insights. The role collaborates with internal teams and external agency partners.

Owns product strategy and roadmap for GoodRx’s pharmacy claims adjudication platform. Defines requirements, prioritizes features, analyzes customer and business data, collaborates with engineering, design, research, analytics, and pharmacy partners, and delivers tools that improve workflows and experiences for retail pharmacies and patients. The role also supports experimentation, documentation, go-to-market planning, stakeholder communications, and occasional travel.

Lead and deliver productionized ML solutions across audience, marketing, pharma direct, and employer analytics. Design segmentation, propensity, attribution, and identity models; apply causal inference and experimentation; operationalize models with MLOps; evaluate generative AI/LLM use cases; set technical roadmap and mentor data scientists to drive measurable business impact.

Lead frontend development using React and TypeScript to design scalable frontend architecture, components, and developer workflows. Own feature delivery from concept to launch, improve CI/CD and testing, collaborate with backend on APIs, evaluate new technologies, and mentor other engineers while ensuring performance, accessibility, and reliability across web surfaces.