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

Own and build canonical data models and metric definitions using dbt and cloud warehouses. Create tests, documentation, lineage, and data quality checks; reconcile metrics across teams and payer customers; partner with analysts, data scientists, product, engineering, and finance; optimize warehouse performance, cost, and PHI-aware access patterns.

Drive company-wide AI adoption by embedding with cross-functional teams to identify use cases and build production AI workflows, agents, internal tools, prompt/skill libraries, evaluation frameworks, and safe deployment patterns. Provide training, office hours, and enablement while partnering with security, IT, legal, and clinical stakeholders to ensure PHI-safe guardrails and measure adoption, productivity, and quality improvements.

Founding ML engineering hire to design and build production ML systems: training and inference pipelines, serving, feature workflows, monitoring, retraining, governance, and operational practices. Partner across engineering, data, product, and applied science to productionize models, implement observability, prevent degradation, and set platform standards and hiring bar for future ML engineers.

Lead and conduct ML research aligned to Sprinter Health's strategy: define research agenda, design rigorous experiments, develop novel methods and evaluations, publish and patent findings, translate research into production-ready tools, and collaborate with clinicians and cross-functional teams to validate and deploy clinically robust AI solutions.

Design and deploy optimization, forecasting, and simulation models to match clinicians to patients under constraints. Build baselines, run evaluations and experiments, and productionize decision systems in partnership with engineering, product, and operations to improve operational metrics like cost per visit and clinician utilization.

The Senior Customer Success Manager leads customer interactions, ensuring satisfaction, retention, and expansion. They collaborate cross-functionally, use data for recommendations, and drive revenue targets while advocating for customer needs within the company.

Provide real-time support to mobile clinicians via Slack, phone, and Zendesk; troubleshoot operational and tech issues; escalate to operations or clinical managers; document patterns and support operational projects and process documentation.

The People Generalist will support the corporate team by advising leadership, improving the employee lifecycle, and driving people programs while ensuring compliance and promoting company culture.

Design and implement logistics optimization algorithms, develop predictive models, and build simulations for patient scheduling and routing in healthcare.

The Senior Software Engineer will explore AI solutions in healthcare, having experience in full-stack/backend development and startup culture.