Demandbase
Enterprise SaaSDirect Ashby career site

Applied AI Scientist

Location
San Francisco, CA (Remote) · On-site
Job type
Full-time
Level
Senior
Experience
7+ years
Education
Doctorate
Listed
23 days ago

Skills & highlights for this role

  • LLM and RAG systems in production
  • agentic orchestration
  • offline evaluation and A/B testing
  • information retrieval

Also useful

  • knowledge graphs
  • entity resolution
  • LLM fine-tuning
  • hybrid search and reranking

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.

Applied AI Scientist (Staff level)

About the role

We're hiring a senior IC who pairs deep research training with the ability to ship. You'll work on hard reasoning, retrieval, and orchestration problems, and you'll take them all the way into the product. This is research-informed product work: novel thinking is expected, but prototypes are the start, not the deliverable. You'll be a peer to our senior technical leaders and a close partner to product and engineering.

What you'll do

  • Design grounding and context assembly: retrieval pipelines, context selection, query understanding.
  • Improve orchestration and reasoning across multi-step workflows: tool use, routing, decomposition, evaluation.
  • Build structured representations that help the system reason over accounts, people, and activity.
  • Bring research-grade rigor to ambiguous problems, then translate it with engineering into reliable, production-ready capabilities. You won't be a full-time SWE, but you write real code that holds up in production.
  • Raise technical rigor: share patterns, mentor, and accelerate decisions across teams.

Must have

  • PhD in CS, ML, NLP, IR, or a related field.
  • 7+ years in applied ML, NLP, IR, or ranking (research-track and graduate work can count toward depth), with recent hands-on ownership of LLM and agentic systems.
  • Shipped LLM or RAG-style systems into production and personally owned their reliability, latency, and monitoring at scale.
  • Built and owned agentic or multi-step orchestration (tool use, routing, planning), not just prototypes or demos.
  • Strong coding ability and real comfort in a production codebase.
  • Solid experimentation and evaluation rigor: offline evals, A/B testing, causal thinking.
  • IC5 signals: set technical direction across teams, owned architecture, and operated as a peer-level influence, not just a strong executor.

Strong plus (any of these stand out, none are required)

  • Knowledge graphs, entity resolution, or representation learning.
  • Query understanding and intent modeling.
  • Search and retrieval depth: lexical, semantic, hybrid, reranking.
  • LLM fine-tuning.
  • A record of taking research from idea to published result to shipped feature.

You'll do well here if

  • You take a nebulous problem, give it structure, build something testable, and iterate.
  • You're the glue between data science, ML engineering, and product.
  • You explain technical tradeoffs clearly and stay focused on what reaches the customer.

Our Commitment to Diversity, Equity, and Inclusion at Demandbase

At Demandbase, we believe in creating a workplace culture that values and celebrates diversity in all its forms. We recognize that everyone brings unique experiences, perspectives, and identities to the table, and we are committed to building a community where everyone feels valued, respected, and supported. We do not automatically disqualify applicants with criminal records and will consider each applicant on a case-by-case basis.

We recognize that not all candidates will have every skill or qualification listed in this job description. If you feel you have the level of experience to be successful in the role, we encourage you to apply!

We acknowledge that true diversity and inclusion requires ongoing effort, and we are committed to doing the work required to make our workplace a safe and equitable space for all. Join us in building a community where we can learn from each other, celebrate our differences, and work together.

Unsolicited Submissions

  • At Demandbase, we value thoughtful partnerships and direct connections with candidates.
  • We’re not accepting unsolicited resumes or outreach from third-party recruiting agencies.
  • Any unsolicited submissions will not be reviewed, and no fees will be paid.
Read the original posting

From Demandbase's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

Where is the Applied AI Scientist job at Demandbase located?

Yes, this Applied AI Scientist opening at Demandbase is listed as San Francisco, CA (Remote) (On-site). Always check Demandbase's application page for specific state eligibility or relocation policies.

What qualifications are required for Applied AI Scientist at Demandbase?

For the Applied AI Scientist role, Demandbase highlights 7+ years of relevant experience; a doctorate; experience with LLM and RAG systems in production, agentic orchestration, offline evaluation and A/B testing, information retrieval. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Applied AI Scientist position at Demandbase?

This listing links directly to Demandbase's Ashby application page. You can apply directly on Demandbase's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.