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

Provide comprehensive neuropsychological evaluations, interpret test results, collaborate with care teams, and conduct client feedback sessions in a flexible work environment.

Lead a small engineering team as a hands-on technical manager to design, develop, and deploy core product features. Hire, scale, and mentor engineers while ensuring high quality, security, and best practices. Collaborate with Product, Data, and Clinical partners and drive execution for a new health plans and systems vertical and Bend Health platform work.

Lead development, commercialization, and lifecycle management of employer mental-health solutions. Align product, clinical, ops, GTM, and finance teams to define packaging, pricing, SLAs, KPIs, and market positioning. Enable field teams, track performance, gather customer feedback, and iterate to optimize adoption, revenue, margin, and customer satisfaction.

Deliver live and virtual trainings, develop and customize research-backed educational content on workplace mental health, consult as an internal subject matter expert, review external materials for clinical accuracy, and support recruiting, onboarding, and training of presenters and facilitators.

Lead planning and execution of high-impact marketing initiatives: build and manage timelines and sprints in Asana, coordinate cross-functional stakeholders, align agencies and contractors, track projects from brief to final delivery, manage reviews/approvals and content libraries, act as brand steward, and proactively resolve scope, timeline, and resourcing risks.

Design, develop, and deploy Python- and Java-based scalable REST APIs for a multi-tenant web platform. Collaborate with product, data science, and clinical partners, and ensure software quality, security, and engineering best practices.

Lead product strategy and execution for data and AI platforms, driving GenAI/LLM initiatives, cross-functional collaboration, responsible AI governance, experimentation (A/B testing), measurement of model impact, and mentoring product teams to embed scalable ML capabilities into clinical and member experiences.

Lead and grow a team of Customer Success Managers to drive member engagement, retention, revenue expansion, and KPI accountability. Manage forecasting, risk mitigation, executive client engagement, cross-functional collaboration, reporting, and escalations across employer-sponsored health segments.

Lead TA data strategy by designing TA data architecture, building scalable pipelines and dashboards, creating predictive capacity and hiring models, ensuring data governance and compliance, and translating insights into executive-level storytelling to guide resourcing and hiring decisions.

Build and maintain backend services and infrastructure for ML and generative AI features. Develop scalable, resilient, high-performance Python services (async frameworks, streaming), deploy to Kubernetes, integrate RAG and LLM orchestration, instrument LLM observability, and collaborate cross-functionally to deliver production-ready AI products.