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

Partner with Head of Finance & Strategy to lead cross-functional, high-priority initiatives. Build reporting rhythms, financial models, dashboards, processes, and AI-driven automations. Support board and investor reporting, drive execution across finance, GTM, ops, and product analytics, and create structure in ambiguous areas at a high-growth, remote-first insurtech.

Owns monthly, quarterly, and year-end close; GAAP-compliant reporting; revenue recognition; AP and AR; tax compliance; audits; internal controls; and accounting systems. The role builds scalable financial infrastructure, automates workflows using AI, selects finance tools, supports audit readiness, and develops the accounting team in a high-growth SaaS environment.

Own and operate the AI-native platform runtime including Kubernetes (GKE), Terraform, GCP, CI/CD, observability, orchestration (Temporal, Kong). Improve reliability, performance, cost, multi-tenant provisioning, developer experience, and lead on-call and incident response.

Lead the product roadmap for data ingestion, enrichment, and pipelines. Define integrations with PDFs, portals, APIs, spreadsheets, and carriers. Partner with AI and engineering to build scalable workflows for cleaning, validating, mapping, and enriching data. Work with customer-facing teams to remove adoption blockers, prioritize initiatives, prototype solutions, and ship frequent improvements.

Lead discovery and delivery of AI-enabled workflow features for insurance operations. Work closely with users, engineering, and GTM to design scalable workflows, measure adoption and impact, support pilots/betas, and iterate to build trusted AI-driven products.

Work directly with insurance customers to deploy and configure AI-powered workflows, integrate with agency management systems and messy customer data, debug integrations, build tooling, and relay product requirements to the core platform while partnering with sales and customer success.

Own internal IT systems: identity/SSO provisioning, device lifecycle and MDM/endpoint security, SaaS access and licensing, onboarding/offboarding, automation of IT workflows, internal networking, and support while contributing to security and compliance.

Design and own end-to-end data platform architecture, build ingestion and transformation pipelines, model multi-tenant datasets, optimize Postgres and ClickHouse performance/cost, implement orchestration and observability, define data quality and reconciliation standards, and mentor data/product engineers.

Lead design, build, and operation of AI-powered product features across backend, frontend, and AI systems. Make architecture decisions, drive production deployments, improve code quality and reliability, mentor engineers, and own features end-to-end.

Build and productionize AI features across frontend and backend: document review, entity extraction, quote comparison, embeddings and LLM integrations, prototype from customer feedback, and create scalable reusable systems for insurance workflows.