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

As a Scientist in Machine Learning, you will develop novel models for RNA structure and drug targeting, advancing the R&D platform and collaborating with interdisciplinary teams.

Work with finance/accounting clients to map high-value workflows into AI systems, apply prompt engineering and fine-tuning, build benchmarks, integrate client feedback, and solve large-scale model and retrieval challenges.

Operate and test robots to collect high-quality training data, define task standards, iterate processes, work with customers and engineers, document findings, and improve robot performance through hands-on hardware and software experimentation.

Design, develop, and deliver software components, APIs, microservices, and UIs; integrate AI/ML features; implement CI/CD, automated testing, IaC, and containerized cloud deployments; monitor production, troubleshoot issues, and mentor junior engineers.

Lead sales team and strategy, manage team performance, build sales processes, and represent the company at industry events. Ensure revenue targets are met.

The Market Leader (VP) is responsible for driving sales growth by managing relationships with financial advisors and executing strategic initiatives.

The Senior Software Engineer will work directly with customers to develop and integrate AI-driven solutions, ensuring operational success and feature deployment in real-world environments.

The Technical Recruiter will handle full-cycle recruiting for technical positions in the Bay Area, focusing on sourcing and closing candidates for engineering, product management, and design roles, while ensuring a high-quality candidate experience and strong stakeholder management.

Build core infrastructure for a durable application runtime: implement schedulers, runtimes, and data plane components in Rust; optimize cluster scheduling, resource utilization, and performance; extend SDKs; collaborate across product and engineering from research to production.

Lead buildout of ImagineArt's B2B marketing: strategy, systems, playbooks, brand, website, content, demand gen, and paid campaigns. Work directly with prospects and customers to run discovery, demos, pilots, and convert experimentation into repeatable enterprise revenue while partnering with sales and GTM engineering.