Demandbase, Inc.
Applied AI Scientist
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · San Francisco, California
Employer listed it 6 months ago · Added 4 days ago
Been open since 6 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$206,000–$310,000
Location
Hybrid · San Francisco, California
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Software
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around San Francisco, California, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "San Francisco, California, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Demandbase, Inc., mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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