Why This Job is Featured on The SaaS Jobs
### Why this Role is Featured on The SaaS Jobs
Demandbase sits in a mature B2B SaaS category where product differentiation increasingly comes from applied AI in the revenue stack. This Staff Machine Learning Engineer role stands out because it is centered on production-grade ML and LLM system design within a platform used by go-to-market teams, where latency, context limits, and operational correctness directly shape customer-facing outcomes.
For a SaaS career, the work maps closely to the realities of shipping and sustaining ML in a multi-tenant environment. The scope spans problem framing, architecture, evaluation beyond offline metrics, and ongoing operations across reliability, cost, and performance. That combination builds durable experience in how AI capabilities become platform features, how they are governed over time, and how cross-team technical leadership works in a product-led organization.
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 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 evaluation frameworks for AI and agent behavior beyond offline model metrics.
Scale AI-assisted development and reusable AI workflows to improve engineering velocity and system quality.
Review and approve ML designs, guiding tradeoffs across model quality, system complexity, and business impact.
Mentor senior engineers and data scientists, raising standards in AI system design, ML engineering, and production readiness.
Partner with product and engineering leaders to translate ambiguous business problems into well-scoped, high-impact AI/ML solutions.
Contribute to multi-quarter technical strategy, aligning AI and ML investments with company objectives.
Requirements
12+ years of experience across AI, ML, and software engineering roles.
Strong coding skills in Python, Scala, or Java, with a track record of production-quality systems.
Hands-on experience in building, evaluating, and operating LLM-powered systems in production.
Strong understanding of context engineering, including information prioritization, relevance, and degradation under constraints.
Experience designing AI workflows or agentic systems, including task decomposition, orchestration, and failure handling.
Deep hands-on expertise in ML system design, NLP, feature engineering, and operational ML.
Experience deploying AI/ML systems on at least one major cloud platform.
Hands-on experience with Big Data or streaming systems (e.g., Spark, Kafka, Airflow).
Proven ability to lead through influence, mentor engineers, and drive cross-team initiatives.
Strong business and product mindset, with the ability to map AI/ML solutions to measurable outcomes.
Level Expectations
Delivers multi-quarter AI/ML initiatives impacting multiple teams and products.
Acts as a go-to expert for AI system design including context engineering, agent architectures, NLP, and ML system design.
Raises the overall AI maturity of the organization through architecture, mentorship, and standards.
Benefits
Our benefits include Group Medical, Personal Accident, and Term Life Insurance for comprehensive protection. Preventive healthcare covers dental, vision, and OPD needs, complemented by strong mental health support. We also provide a fitness benefit, car lease policy, and gratuity for long-term financial well-being.
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.
