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

Lead design and implementation of the Knowledge Intelligence Pod's core systems: ingestion, extraction, retrieval, provenance, review UIs, and evaluation. Ship reliable production code, set architecture and observability standards, mentor engineers, and partner with tax professionals to ensure correctness and scalability across firms.

Develop and maintain backend services in Go, support machine learning and LLM initiatives, design and refine prompts, write and optimize SQL queries, and collaborate with a remote PST-hour team to deliver AI-driven solutions.

Lead creation and art direction of brand assets across campaigns, web, video, events, and sales materials. Evolve the design system, translate brand strategy into visuals, iterate quickly across workstreams, and maintain consistency across touchpoints.

Lead vertical go‑to‑market strategy for priority industries: develop ICPs, messaging, positioning, and sales enablement. Drive customer and market intelligence, coordinate launches and campaigns with Growth, and align Product and Sales to convert strategy into pipeline and revenue.

As a Founding Salesforce Architect, you will design Salesforce solutions, oversee integrations, and establish best practices for Service Cloud to enhance customer support operations.

Lead corporate FP&A reporting, consolidation, GAAP/Non-GAAP bridging, and Board/Audit Committee reporting. Build planning and reporting systems, improve close and reforecast cycles, partner with accounting, tax, treasury and investor relations, and translate financial data into executive and investor-facing narratives.

Lead a research team to design frontier AI datasets and benchmarks, collaborate with academia and industry, define roadmap and dataset quality, support GTM, mentor researchers, and track RL, agentic evaluation, and benchmarking research to improve model performance.

Configure the product for new customers, quality-check Sidecar-drafted legal documents, and provide product feedback to improve the AI assistant. Open to 2L interns or recent law graduates.

Join a small founding team to build full-product features for an AI assistant for litigators. Work across frontend, backend, infrastructure, testing, and CI/CD; ship rapidly with design partners; engage with users; and iterate on product and architecture.

Lead automation-focused GRC work: monitor and audit controls against PCI-DSS, NIST CSF, and SOC frameworks; automate evidence collection and compliance workflows using scripting and AI; oversee IAM reviews; collaborate with engineering, DevOps, and product to embed compliance into CI/CD and cloud infrastructure.

The Senior Product Analyst will drive data-informed decision-making through funnel analysis and experimentation, optimizing customer journeys and improving conversion rates for personal loans and credit cards.

Architect and build backend infrastructure for an AI-driven enterprise email platform. Design scalable distributed systems ingesting millions of messages/day, implement secure, compliance-ready and on-prem-capable systems, and serve as a hands-on senior engineer driving a zero-to-one product build.

Build and scale backend systems and APIs for loan servicing features (onboarding, collections, compliance). Work in agile product pods to ship and iterate on product features using customer feedback. Collaborate with engineering, product, and operations, and write high-quality Python code meeting regulated enterprise standards.

Partner with SMB and Mid-Market AI/ML teams to drive adoption, run onboarding workshops, demo product capabilities, identify expansion opportunities, own renewals and upsells, and coordinate with Solutions and Application Engineering to deliver technical implementations and business value.

Own end-to-end enterprise sales for AI-powered robotics in food production: outbound discovery, demos, proposals, multi-stakeholder negotiations, and closing six-figure to seven-figure contracts while shaping the enterprise sales motion and ICP for a rapidly scaling startup.

Design, train, and deploy manipulation policies (imitation learning, RL, behavior cloning) for deformable food handling. Build data collection pipelines, evaluation metrics, and recovery behaviors. Partner with perception and robotics teams to validate end-to-end grasp-to-place performance and iterate policies on physical robots in production.