Why This Job is Featured on The SaaS Jobs
Applied AI Scientist roles are increasingly central to modern SaaS products, and this one sits directly in the product layer rather than in a research-only function. The remit spans grounding, retrieval, and orchestration for agentic workflows, which reflects where many B2B SaaS platforms are investing to differentiate user experiences and improve downstream GTM outcomes through embedded intelligence.
From a SaaS career standpoint, the work builds durable skills in taking ML systems from prototype to production, including evaluation, reliability, latency, and monitoring considerations that matter in subscription software. The emphasis on context assembly, ranking, and multi-step reasoning also maps to a broad set of SaaS use cases beyond this domain, from search and recommendations to workflow automation and copilots. Close partnering with product and engineering signals experience in translating model quality into measurable product impact.
This role tends to suit senior individual contributors who prefer ambiguous problem spaces and are comfortable being the connective tissue across disciplines. It is a strong match for practitioners who enjoy shipping real code, making tradeoffs explicit, and raising technical rigor through patterns and mentorship while staying hands-on with applied ML.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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 within the team by sharing patterns, mentoring others, and accelerating decision-making processes.
Partner with engineering to turn prototypes into reliable product capabilities. You won’t need to be a full-time SWE, but you should be comfortable writing real code that holds up.
Qualifications
Core Experience & Technical Background
Deep Domain Expertise: 7+ years of relevant experience (or equivalent depth) in NLP, information retrieval, ranking, applied ML, and agentic application architecture and design.
Experience with Knowledge Graphs, entity resolution, or representation learning.
Experience building systems that operate at scale, specifically regarding latency, reliability, and monitoring.
Prior work on orchestration frameworks, agentic workflows, or multi-step reasoning systems.
A strong background in one or more of the following areas:
LLM Applications: Practical experience with grounding, RAG-style systems, tool use, and routing, planning.
Query Understanding: Experience with intent modeling.
Search and Retrieval: Including lexical, semantic, hybrid retrieval, and reranking.
Strong coding ability and comfort working with production codebases.
Solid grounding in statistics and experimentation, including offline evaluations, A/B testing, and causal thinking.
Execution & Soft Skills
Problem-Solving: The ability to take a nebulous problem, create structure, build something testable, and iterate.
Collaborative Mindset: Comfortable acting as the "glue" between data science, ML engineering, and product teams.
Communication: The ability to explain technical tradeoffs clearly and a focus on solutions that effectively reach customers.
Benefits
Our benefits include options for up to 100% paid Medical and Vision premiums for employees, a flexible PTO policy, paid holidays, and access to mental health and wellness resources. We also provide a 401(k) with pre-tax, after tax, and roth options, as well as short-term/long-term disability, life insurance, and other great benefits.
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. Discrimination of any kind is not tolerated, and we strive to ensure that every individual has an equal opportunity to succeed and grow, regardless of their gender identity, sexual orientation, disability, race, ethnicity, background, marital status, genetic information, education level, veteran status, national origin, or any other protected status. 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.
