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

Build customer-facing AI features and horizontal infrastructure to deliver trustworthy, auditable AI automation for financial accounting. Own full-stack feature development, measure and improve AI product efficacy, and make strategic product and technical decisions.

Build and operate Numeric’s financial data infrastructure, including ingestion pipelines, typed data contracts, lakehouse schemas, batch and event-driven processing, security controls, observability, and scalable reporting. Work across TypeScript, SQL, and Python while collaborating with accounting, reporting, and AI teams to deliver reliable, auditable, multi-tenant financial data systems.

Build and own developer infrastructure including deployment pipelines, environments, infrastructure-as-code, observability, security, internal tooling, and AI tool hosting. Improve deployment safety, environment parity, developer productivity, incident management, and platform standards. Partner directly with engineers to create reliable self-service systems and shared infrastructure using AWS, containers, Terraform/OpenTofu, CI/CD, and observability tools.

As a Software Engineer at Numeric, you'll develop and scale the financial data platform, focusing on automation, reporting, and transaction monitoring, while contributing to product strategy and user-centric solutions.

Engineering Manager leading teams building financial data infrastructure, reporting engines, accounting automation, and AI-enabled workflows. Responsibilities include hiring, performance management, team development, technical leadership, system design, code and architecture review, delivery ownership, and establishing engineering processes and standards. The role is hands-on and requires close collaboration with engineers while supporting product quality and organizational growth.

Own end-to-end customer implementations: kickoff, milestone planning, technical configuration and ERP integrations (especially NetSuite), training accounting teams on AI-first closes, driving go-live adoption, handing off to Customer Success, and building playbooks and AI-assisted automation to scale services.

Own a book of finance customers to drive adoption, retention, and expansion. Use AI-leveraged cadences to monitor account health, lead QBRs, build champions, surface expansion signals, and coordinate save plays across Sales and Product.

Own hands-on implementations to get customers live: configure workspaces, connect and validate ERP/sub-ledger data (especially NetSuite), run onboarding trainings, manage implementation project workstreams, and create docs/templates to automate and speed future implementations.

As an Associate Solutions Manager, you'll support customer onboarding, ensure adoption, create resources for self-service, and maintain customer health documentation.

Lead and build the Sales Engineering organization: recruit, onboard, coach, and retain SEs; design enablement programs for non-traditional candidates; support complex, high-stakes sales; build AI-powered workflows to scale impact; establish org infrastructure (demo standards, comp, career ladders); and represent field insights to Product and Engineering to prioritize roadmap.