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

Analyze large, diverse datasets (claims, hazard, geospatial) and apply advanced data science, ML, and AI to model catastrophe, hazard, exposure, and man-made risks. Evaluate vendor models, develop internal risk views and tools, collaborate with domain experts, and support underwriting decision-making and account-specific risk analyses.

Develop and apply methods at the intersection of 3D molecular simulation and ML: build geometric and equivariant ML models, integrate physics-based and data-driven approaches, design and run MD and enhanced sampling simulations, perform free energy calculations, improve generative and scoring capabilities on the GEMS platform, and collaborate with CADD and discovery teams to advance drug discovery.

Lead local fundraising strategy and execute donor portfolio management to generate $3M+ annually toward team goals. Cultivate, steward, and solicit high-capacity donors (5- and 6-figure gifts), partner with Executive Directors and advisory boards, track activity in CRM, and adjust strategy to maximize revenue for the organization.

Design, develop, customize and maintain enterprise Sitecore solutions (versions 9/10, SXA, JSS, XM Cloud). Produce technical specs, implement components, test and debug in test and production, support teammates, perform demos to customers, and escalate/resolve issues.

Embed with customer hardware teams to write and decompose system requirements, maintain traceability, produce V&V artifacts, and prepare certification audit engineering packages using Nema.

Join as a full-stack software engineer to design, develop, and maintain web applications and services. Collaborate cross-functionally, write clean code, perform code reviews, debug issues, and stay current with industry trends.

Design and build AI orchestration architecture using Claude Code; create reusable orchestration patterns (skills, subagents, tools, hooks); optimize for latency, error handling, observability, and testing; run experiments, document learnings, and deliver production orchestrators that accelerate platform development.

Design and implement near real-time controls, motion planning, and networking systems for deployed robots. Optimize stacks for high-frequency data, tune drivers/kernels/middleware for real-time performance, and build telemetry and tooling for latency measurement, debugging, and fault detection. Collaborate with electrical, mechanical, autonomy, perception, and deployment teams to ensure safe, low-latency, and reliable robot operation.

Early-stage Bay Area business development/operator for an AI startup. Responsibilities include finding customers, building partnerships, and shaping company strategy from day one. Must have founder-level hustle, enthusiasm for AI, strong interpersonal skills, and authorized US work status.

Designs and delivers onboarding, operational learning, compliance, and development programs across three properties. Conducts learning needs analyses, creates training plans and calendars, manages Certified Departmental Trainer program, selects vendors, measures training impact, manages budgets, and supports change initiatives. Coaches managers and facilitates in-person training and property-wide learning initiatives.