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

Lead data science for SEO and AEO-driven patient growth. Develop measurement and experimentation strategies, combine internal and external data sources, evaluate causal impact, answer product and business questions, and automate analysis using AI agents and workflows. Partner with product, marketing, engineering, content, and design to improve organic search and AI visibility. Establish measurement standards and communicate insights, limitations, and recommendations to executives and cross-functional teams.

Lead and grow the engineering team responsible for referral, payer, phone, and emerging patient acquisition channels. Launch new channels from zero to one, build AI-enabled referral and booking experiences, develop partner integrations, and drive measurable patient growth. Partner with product, data science, operations, health systems, and insurers while hiring, coaching, and setting engineering standards.

Leads data science strategy for provider growth, including experimentation, marketing and lifetime-value measurement, forecasting, causal inference, predictive modeling, and product analytics. Manages and develops a data science team, creates roadmaps, partners cross-functionally, identifies provider growth opportunities, and translates complex analyses into executive recommendations. The role requires hands-on work with SQL, Python or R, data modeling, and dbt.

Own provider growth product marketing strategy, including provider insight, positioning, messaging, and integrated go-to-market execution. Drive provider acquisition, activation, and early engagement by partnering with Product, Growth, Design, Lifecycle Marketing, Research, Sales, Customer Success, and Creative. Identify high-impact opportunities, influence product and growth decisions, and equip teams with frameworks for consistent provider messaging. Use AI to improve marketing workflows and team effectiveness.

Leads provider-focused product marketing, including customer insight, positioning, messaging, go-to-market strategy, channel planning, product adoption, engagement, and retention. Partners cross-functionally with Product, Lifecycle Marketing, Customer Success, Research, Design, and Creative teams. Influences product strategy, identifies growth opportunities, equips teams with messaging frameworks, and drives measurable provider experience outcomes.

Own patient-focused product marketing across the care journey, from acquisition and activation through retention. Develop positioning, messaging, launch narratives, and go-to-market strategies in partnership with Growth, Lifecycle, Product, Research, and Creative teams. Use customer insights, funnel data, and experimentation to reduce friction, improve patient choice, and drive measurable business outcomes in a regulated consumer healthcare category.

Designs and maintains scalable data pipelines and infrastructure, establishes data governance and quality standards, and drives technical decisions across Headway’s data platform. Partners with Product, Engineering, Analytics, Data Science, Infrastructure, Finance, and Insurance Systems to improve architecture, performance, reliability, security, and AI-readiness. Ensures data is complete, traceable, trustworthy, and suitable for powering internal tools and AI-driven insights.

Lead People Operations programs covering benefits, immigration, leave, payroll, policies, Workday systems, and contingent worker lifecycle automation. Develop scalable employee support workflows, ensure payroll compliance, modernize People Systems, drive change adoption, and partner with Finance, Legal, People Analytics, and Human Intelligence. Manage and develop a high-performing team while shaping broader People strategy.

Senior Data Scientist partnering with Product, Engineering, Design, Operations, and Clinical teams to define metrics, design experiments, apply causal inference, analyze funnels and cohorts, and build predictive models. The role translates complex data into actionable product and business recommendations, operationalizes validated insights, and establishes standards for experimentation and analytical quality across patient, payer, outcomes, and provider-focused teams.

Lead full-cycle technical recruiting for engineering teams: partner with hiring managers, design sourcing strategies, run searches from intake to offer, use data to diagnose and improve searches, and ensure a structured, inclusive candidate experience while building high-quality pipelines.