Staff Machine Learning Engineer
Introduction to Demandbase:
Demandbase is the only pipeline AI platform that empowers GTM teams to automate growth at scale. With a unified view of data, insights, actions, and outcomes, B2B enterprises can seamlessly align and execute their account-based GTM strategies with confidence. Thousands of businesses trust Demandbase to maximize revenue, minimize waste, and consolidate their data and tech stacks – all in one platform.
As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have also continuously been recognized as One of The Best Places To Work in the San Francisco Bay Area by Fortune, and One of The 60 Best Companies To Sell For by Selling Power. Our offices are located in San Francisco, New York, Austin, Seattle, India, and the United Kingdom.
About the Role
We are looking for a Staff Machine Learning Engineer to raise the bar for AI system design and ML engineering across our B2B SaaS platform. This is a senior IC role focused on building production-grade AI systems where ambiguity, context constraints, scalability, and operational correctness are first-order concerns. You will lead complex, cross-team initiatives while remaining hands-on in designing, building, and operating AI/ML systems.
Responsibilities
- Lead the design and development of AI/ML systems starting from problem framing, decision boundaries, and operational constraints.
- Drive system and architecture decisions for AI and ML platforms, ensuring scalability, performance, and operational excellence.
Design and evolve context engineering strategies for LLM-based systems under strict context window and latency constraints.
- Architect agent-based systems, including agent roles, interaction models, coordination strategies, and failure handling.
- Build and operate production AI systems with ownership of reliability, latency, cost, and correctness.
- Define...