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

Build and maintain backend services and infrastructure to support core ML/AI product features. Design scalable, resilient, high-performance systems, implement production REST APIs, deploy and manage applications (Docker/Kubernetes), and collaborate cross-functionally while coding daily.

Build and maintain scalable ML and generative AI platforms and backend infrastructure; deploy and manage production applications; create services exposing ML/AI products; implement RAG solutions and vector databases; integrate LLM orchestration and foundation model APIs; collaborate cross-functionally and mentor teammates.

Lead design, training, fine-tuning, and deployment of ML and generative models (LLMs, diffusion). Build scalable MLOps pipelines, vectorization and data ingestion, integrate models into microservices for low-latency inference, implement evaluation/alignment/bias-mitigation, optimize models (quantization, distillation), and mentor engineers while influencing the AI product roadmap.

Lead and mentor a Customer Success team managing health system, health plan, and referral partner portfolios. Drive retention strategy, executive relationships, cross-functional advocacy, operational excellence, performance tracking, and large-scale engagement campaigns. Communicate clinical outcomes and support finalist/prospect presentations.

Manage and expand customer relationships, drive upsell opportunities, partner with Customer Success Managers, and maintain accurate Salesforce records.

The role involves overseeing full-stack development, creating APIs, improving microservices, and collaborating with cross-functional teams to enhance mental health care interfaces.

The VP of Data and AI will define and execute data and AI strategies, lead technical teams, oversee data platform infrastructure, and drive measurable business outcomes.

Maintain and enhance Zendesk instances and integrations, implement Zendesk AI features, administer configurations and business rules, develop documentation, troubleshoot issues, optimize performance, provide technical guidance, and build reports and dashboards with Zendesk Explore.

As a Sr. Data Engineer at Lyra Health, you will build and scale core data infrastructure, design data warehouses, and create efficient data pipelines while collaborating across departments.

Lead a small engineering team as a hands-on technical manager: design, develop, and deploy core product functionality; grow and scale the team; collaborate with product, data, and clinical partners; enforce software development and deployment best practices.