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

Build and operate Ellipsis Health’s recruiting engine, including ATS workflows, scheduling automation, sourcing platform integrations, interview coordination, candidate communications, job posting management, recruiting programs, and pipeline reporting. The coordinator will own candidate experience, partner with hiring managers and senior leaders, create recruiting processes and documentation, and help scale talent operations in a hybrid San Francisco startup environment.

Design, build, and scale TypeScript/Node.js backend services, APIs, microservices, databases, integrations, and production infrastructure for a conversational AI healthcare platform. Own services across deployment, monitoring, security, compliance, incident response, and reliability. Implement authentication and authorization, CI/CD, observability, and scalable real-time systems while mentoring engineers and collaborating cross-functionally.

Own end-to-end data science and AI evaluation projects, developing frameworks, metrics, golden datasets, benchmarks, pipelines, and dashboards for LLM- and speech-based systems. Analyze failure modes, calibrate LLM judges against human ground truth, and drive continuous product improvement. Collaborate with AI/ML engineers and product managers, contribute to technical strategy, mentor junior data scientists, and establish evaluation best practices.

Own customer-facing analytics and reporting for a voice AI healthcare product. Lead customer data implementations, troubleshoot ingestion and mapping issues, prepare internal teams for campaign execution, develop dashboards, define performance metrics, and standardize reporting. Coordinate data and QA engineers through agile delivery while scaling onboarding workflows, improving implementation velocity, and expanding analytics capabilities for payer and provider customers.

Design and maintain backend infrastructure and tooling for an AI evaluations platform. Build production-grade evaluation frameworks for ASR, LLMs, TTS, knowledge bases, and guardrails. Implement API/data integrations, test configuration management, reporting, observability, and debugging tools. Partner with ML, engineering, and QA to operationalize evaluations, enable regression detection and continuous monitoring, and improve developer experience and reliability.

Drive nationwide provider sales to large health systems: build pipeline, generate leads, lead RFPs, develop executive relationships, close complex deals, and collaborate cross-functionally to grow revenue and shape commercial strategy.

Design, build, and scale TypeScript-based backend services and React frontends for a conversational AI healthcare platform. Own APIs, microservices, databases, CI/CD, security/HIPAA compliance, integrations (Zitadel, scheduling systems), monitoring, incident response, and mentor junior engineers to improve reliability and performance.

Design, build, and scale backend APIs, microservices, and orchestration layers for a conversational AI healthcare platform. Ensure secure, HIPAA-compliant integrations (EHRs, FHIR), optimize performance and reliability, manage databases and data pipelines, maintain CI/CD and production services, troubleshoot incidents, and mentor junior engineers.

Design, implement, and maintain Python microservices for a real-time voice pipeline (capture, streaming transcription, LLM orchestration, TTS). Integrate providers and transports (WebRTC, SIP, phone), deliver ultra-low latency (<500ms), instrument tracing/metrics (OpenTelemetry), ensure production hardening and HIPAA-compliant security, and collaborate with ML, product, and client SDK teams.

Own end-to-end delivery of Sage, a conversational voice AI, for customer deployments. Conduct discovery, design workflows, configure agent behavior (prompts/guardrails), lead technical integrations, write clear requirements, support UAT and go-live, monitor performance, and iterate with engineering and customer success to scale deployments.