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

Own and operate product platform services, libraries, schemas, APIs, and developer tooling. Design scalable, reliable, secure system interactions; improve monitoring, testing, and operational signal; reduce engineering toil through reusable abstractions and automation; and partner with product, data, and infrastructure teams. The role spans identity, access, shared services, data flows, messaging, and cloud-native systems in a greenfield environment.

Build and own backend-focused case execution systems covering eligibility, batching, submissions, operational workflows, and claim orchestration. Solve complex data-driven decision logic, improve workflow reliability, collaborate across engineering and product teams, and contribute to React-based internal tools and administrative workflows. The role requires strong Python experience, fullstack engineering fundamentals, and ownership in a fast-moving startup environment.

Design, scale, and harden the platform: evolve cloud architecture, build tooling and IaC (Terraform), improve reliability/observability, secure CI/CD and networks, automate developer workflows, and partner with engineering teams to support growth.

Own the technical direction and architecture of a shared product platform spanning identity, access, tenancy, APIs, developer tooling, and data services. Write production code, lead design reviews, establish scalable and reliable engineering practices, translate ambiguous requirements into executable plans, and mentor engineers across teams. The role requires strong backend expertise, cloud-native systems experience, product judgment, and comfort working autonomously in a greenfield environment.

Design, scale, and harden the platform by evolving cloud architecture, building IaC and automation, improving reliability and observability, securing CI/CD and toolchains, and partnering with engineering teams to remove toil and enable scalable, event-driven systems.

Own and improve backend case execution systems (eligibility, batching, submissions, orchestration). Solve complex, data-driven decision and workflow problems, collaborate cross-functionally, and support internal UI/admin tooling as needed.

Design, evaluate, and productionize decisioning systems that affect pricing, offers, and routing. Run experiments, build models/heuristics and optimization logic under operational constraints, create feedback loops linking model behavior to business outcomes, and partner with engineers to ship improvements. Use AI as an active tool and help the team adopt AI-native workflows.

Own strategic enterprise health system accounts, driving retention, expansion, and long-term partnerships. Advise revenue cycle executives, guide clients through No Surprises Act and IDR workflows, lead account planning and QBRs, resolve complex issues, and translate account analytics into recommendations. Build scalable client success playbooks and frameworks, synthesize client feedback for internal teams, and influence Product, Engineering, Operations, and Sales without direct reports.

Drive new enterprise sales into hospitals and health systems by building executive relationships, managing complex multi-stakeholder deals from outreach through close, owning account strategy and forecasting in Salesforce, partnering on contracting and customer transition, and identifying expansion opportunities to grow revenue.