Applied AI Scientist

🇺🇸 San Francisco, CA
$2K - $3K Annual
Posted 1 month ago
Expires June 9, 2026
Full TimeOn-siteEngineeringData Science

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’re hiring an AI Scientist to help us build the next generation of AI features that show up directly in the product and improve customer outcomes. You’ll work on reasoning, planning, context and knowledge engineering problems, design the “brains” behind how our system finds the right context, and make our orchestration smarter and more reliable.

This is a senior individual contributor role (IC5 / Staff Data Scientist level). You’ll be a peer to other senior technical leaders and a close partner to product and engineering.

Responsibilities

- Design approaches for grounding and context assembly (retrieval pipelines, context selection, query understanding).

- Improve AI orchestration and reasoning quality across multi-step workflows (tool use, routing, decomposition, evaluation).

- Develop and iterate on knowledge context graphs or other structured representations that help the system reason over accounts, people, and activity.

- Partner closely with engineering teams to translate prototypes into reliable, production-ready product capabilities.

- Raise technical rigor...

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