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

Serve as embedded legal counsel to AI and R&D teams, advising on product design, health data use, AI risks, regulatory requirements, and product launches. Draft and negotiate data, model, research, clinical, BAA, DPA, and pilot agreements. Build scalable legal processes, playbooks, and training while partnering with privacy, security, regulatory, clinical, trust and safety, and marketing teams.

Manage pharmaceutical client accounts from project kickoff through campaign completion, ensuring contract fulfillment, timeline management, content development, campaign measurement, client communication, and revenue recognition. The role requires coordinating internal and external teams, managing multiple projects independently, forecasting deliverables, and maintaining strong client relationships in a healthcare communications environment.

Design and build maintainable data pipelines, ETL processes, and data architecture standards. Collaborate with product managers, analysts, and machine learning engineers to translate requirements into automated, scalable solutions. Apply software engineering best practices, asynchronous systems, APIs, streaming, testing, monitoring, and Python and SQL expertise. Help prioritize data initiatives based on business impact and communicate complex technical concepts to technical and non-technical stakeholders.

Own the strategy, roadmap, goals, and metrics for clinical AI products. Lead cross-functional teams of engineers, data scientists, and designers through Agile product development, from opportunity identification and requirements gathering through launch and optimization. Develop user stories and detailed specifications, analyze market and user feedback, prioritize initiatives, and build alignment across stakeholders to deliver intuitive web and mobile experiences.

Leverage healthcare platform data to identify behavioral patterns, develop product and client-facing analytics, and guide data strategy. Lead data projects from ingestion through analysis and recommendations while collaborating with product managers, analysts, and developers. Apply advanced statistics, SQL, Python, distributed processing, machine learning, and data visualization to communicate actionable insights to stakeholders.

Creates customized marketing materials—including presentations, one-pagers, videos, proposals, RFPs, and results decks—to support sales growth. Collaborates with Analytics to develop client-specific metrics and personalized presentations, supports meetings and commercial marketing initiatives, builds reusable templates, and partners strategically with Sales and SalesHub teams.

Own strategic pricing, inventory allocation, and yield management decisions that optimize revenue and support business growth. Partner with sales, product, deal desk, and finance teams to understand market dynamics, develop pricing strategies, and build a biddable auction environment. Create analytical frameworks, identify pricing inefficiencies, and establish scalable systems and processes for new monetization models.

Ensure accurate ASC 606 revenue recognition for complex contracts, complete month-end close activities and journal entries, maintain technical revenue policies and workbooks, analyze revenue variances, lead SOX and audit support, and implement automation improvements to increase efficiency and accuracy.

Lead development and evaluation of AI products for medical professionals using large-scale datasets. Create product and client-facing analytics, influence data team strategy, and collaborate with product managers, analysts, and engineers to execute data projects from ingestion through analysis to recommendations.

Lead product strategy and metrics for hospital partnerships, improving targeting and campaign delivery tools. Define requirements, prioritize roadmaps, run Agile/Scrum, and collaborate with engineering, data, sales, and client success to build, launch, and optimize data-driven healthcare products.