Top Engineering Jobs in San Francisco, CA

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.

Lead and grow the Data Safety engineering team to enable safe use of highly sensitive mental-health data. Own de-identification, access controls, entitlements, LLM data handling, and compliance audit evidence. Partner with Security, Legal, Compliance, Data Platform, and product teams to set roadmap, deliver privacy commitments, and enable company-wide safe data practices.

Lead two cross-functional engineering teams (~8 engineers plus a manager) building measurement and network intelligence for outcomes and utilization. Own delivery of a company-level outcomes metric, set technical and operational roadmaps, partner with Product/Clinical/Data Science/Commercial, mentor engineers and managers, and balance quality and adoption while scaling data- and ML-heavy systems.

Lead and grow a 5–8 engineer team building measurement, segmentation, and ranking systems to demonstrate payer value. Set technical and operational roadmap, deliver externally committed launches and metrics, partner with Product/Clinical/Data, mentor engineers and tech leads, and ensure rigorous experimentation and metric guardrails to inform payer decisions.

Own architecture and technical direction for Headway's Journey communications platform: design the decision engine, experimentation layer, channel orchestration, unified message ledger, and productionize LLM-powered personalization across multi-vendor delivery systems to improve patient and provider engagement.

Own and build Headways experimentation platform: assignment, exposure, identity resolution, feature flags, and data pipelines. Drive technical direction, reliability, and company-wide experimentation practices, integrate AI for diagnostics, and enable market-level tests across teams.

Build end-to-end fullstack features for a mental healthcare platform: design APIs and UIs, manage clinical and practice-management systems, integrate AI capabilities, and own product outcomes from schema to frontend.

Design and build reliable backend services powering clinical data, insurance billing, patient-facing infrastructure, and financial ledger systems. Scale high-integrity systems requiring idempotency, strong consistency, and pragmatic AI integration to automate provider workflows and enable personalized patient experiences.

Lead and grow small engineering pods building provider-facing products that improve therapist workflows and scale provider acquisition. Partner cross-functionally to drive product outcomes, mentor engineers, remain a hands-on technical contributor, and shape how AI is used responsibly in clinical tools.

Own the architecture and technical direction for provider-sourced client products, including lead management, caseload migration, AI-powered inquiry workflows, and provider marketing tools. Partner cross-functionally with product, design, data, sales, customer experience, and pricing teams. Build reliable user-facing systems, guide technical decisions across teams, measure product impact through experimentation, and influence teams without direct authority.