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

The Director of Data Products will define and build Albert's data product strategy and roadmap, manage the data pipeline, and drive product lifecycle from development to market launch, focusing on monetization and customer needs.

Own vision, roadmap, and execution for core product areas (Notebook, Worksheet, Tasks, Inventory). Lead end-to-end product development, prototype and validate with users, drive AI-enabled agentic workflows, conduct hands-on user research with scientists, and partner with engineering, design, and commercial teams to ship polished B2B SaaS workflows and ensure adoption.

The AI Engineer will develop scalable AI systems, optimize LLMs, maintain data workflows, and ensure system resilience while collaborating on innovative solutions.

As an AI/ML Platform Engineer, you will develop APIs, data pipelines, and workflows to support AI capabilities for scientific research, ensuring system reliability and scalability.

As a Staff ML Ops Engineer, you'll architect high-performance systems for AI/ML, manage Kubernetes infrastructure, and develop scalable backend APIs, enabling scientific discoveries across the materials science industry.

Lead product vision, strategy, and roadmap for Albert's platform (IAM, integrations, security, admin, search). Drive enterprise trust, compliance, and scalability; partner with engineering, design, data, and customers; align cross-functional teams; and build platform product management capabilities and go-to-market readiness to enable large-scale enterprise adoption.

Build and scale Albert's talent acquisition function: own candidate experience, design ATS workflows and sourcing frameworks, deploy recruiting automation and AI tools, lead outbound technical sourcing, ensure compliant structured interviewing, and partner with executives and global teams to hire across US, Germany, India, and Japan.

Provide in-house legal counsel across commercial contracts, data privacy and AI compliance, IP and licensing, employment matters, corporate governance, M&A support, and legal ops for a global AI-native SaaS company.

Lead and scale the pre-sales technical function: own technical discovery, scope integrations/migrations and binding estimates, manage RFPs/security questionnaires and SOWs, define pre-to-post-sales handoff, build playbooks/templates, and hire and lead a solutions engineering team aligned with scientific and engineering partners.