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

The role involves managing the ML lifecycle, developing scalable ML systems, and collaborating on AI-first product solutions focusing on Large Quantitative Models.

The Senior Backend Engineer will develop core functionalities for AI-driven drug discovery, collaborating with R&D and product teams, managing infrastructure, and ensuring engineering excellence.

The Senior Forward Deployed Engineer will deploy and validate AQNav systems, drive success during tests, communicate with stakeholders, and bridge operations with research and engineering.

The Staff ML Research Scientist will lead research in deep learning for drug discovery, develop innovative models, and integrate them into commercial software. Responsibilities include mentoring junior researchers and contributing to scientific publications.

Lead top-of-funnel talent sourcing for frontier tech roles (AI, quantum, cybersecurity, life sciences). Build advanced market maps, use OSINT and alternative channels to identify passive candidates, manage executive stakeholders, craft high-touch candidate experiences, and drive hiring strategy for highly specialized, low-visibility talent pools.

Lead FP&A activities including annual and rolling forecasts, budgeting, variance analysis, program-level financial reporting, and building scalable models and dashboards. Partner with business leaders, operations, GTM, accounting and legal to translate strategy and customer commitments into financial plans, revenue commitments, and program performance metrics while strengthening FP&A controls and automation in a high-growth environment.

The Director of Product Management for AI Generation Engine will lead product strategy and execution in Finance & Risk Modeling, focusing on innovative AI solutions and close collaboration with financial services clients.

The Data Engineer will develop and maintain data pipelines, build data models, ensure data quality, and support cross-functional teams while improving internal data platform infrastructure and documentation.

Lead product strategy and development for AI Simulation products, translating scientific needs into product requirements and ensuring market fit.

The Staff Technical Product Manager will drive product strategy and definition for AI solutions targeting life sciences, ensuring alignment across teams, validating product market fit, and leading product launch activities.