SLSQ327R184
Product Manager, AI Ops
We are reimagining GTM at Databricks and are seeking a hands-on, technical Product Manager to
own AI-powered GTM agents end-to-end - building and prototyping agents directly on Databricks.
You'll sit on the AI Ops team, between senior GTM leadership, Sales Ops, and the field -
translating field reality into a product roadmap that improves how Databricks sells at every
stage of the motion.
This is a hands-on IC engineering role for someone who understands how AEs, BDRs, and CSMs
actually operate and wants to build the agents that reimagine GTM processes in the age of AI.
Key Responsibilities
Build agents on Databricks (the core of the role): Design, prototype, and ship GTM agents
yourself on the Databricks platform. Write the workflow logic and tools, stand up and iterate
on agents in notebooks and SQL, and debug and validate behavior with your own queries. This is
hands-on building, not spec-and-handoff.
Agent behavior and quality: Define and implement how agents behave: decision logic, escalation
paths, governance guardrails, and edge-case handling. Build evaluation in from the start: run
experiments and A/B tests, measure quality, and tune prompts and workflows based on what the
results show.
Own your agent surface end-to-end: Set the 2-quarter roadmap for your agent area, make the
prioritization calls, and write the lightweight specs (PRDs / Business Intent Docs) that frame
what you build. Advocate for regional and segment specific needs as team roadmaps come
together.
Voice of the field: Run structured feedback loops with end users (often AEs and front-line
managers) and convert what you hear directly into agent improvements you build and ship
yourself rather than handing off a backlog.
What We Look For: The two things that matter most: you can build on Databricks yourself, and
you have a strong gut for product development, UI, and the seller experience.
Hands-on technical builder for the AI-stack: You build on Databricks. You're comfortable in
notebooks and SQL, can stand up and iterate on agents and workflows on the platform yourself,
read and debug an AI workflow, and write a query to validate behavior. This is a build role,
not a spec-and-handoff role.
Strong understanding of the seller experience: You have a sharp gut for product development and
UI, and you can tell when an agent helps a seller vs. gets in the way and creates more
overhead. You can sit with an AE for an hour and walk away with a prioritized list of where to
build, and you can feel out the difference between a personal preference and a best practice
worth replicating.
Pattern recognition & judgement: You take field feedback seriously even when the data
disagrees, and you know the difference between a one-off complaint and a signal worth a roadmap
slot.
Bias to ship: The roadmap moves fast and you'll own rollout gates, balancing speed against
quality.
Experience: 5+ years in product management, GTM strategy, sales ops, or a field-adjacent role
such as Solutions Architect, with at least 3 years owning a product or program end-to-end. A
strong, firsthand understanding of the AE workflow and how reps actually sell matters more than
the title on your resume. Hands-on experience building on Databricks (SQL, notebooks, and agent
or workflow tooling) or similar technology stacks is a strong plus.
Why This Role
This is one of the top FY27 GTM bets at Databricks and the MVP is in production globally with
1,200+ sellers. You will have an outsized impact on how Databricks sells in FY27. If you want
to build and innovate at the bleeding edge of what's possible with AI and system
automation, and do it inside a mature, high-velocity business with real stakes, this is the
role for you.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this
role is listed below and represents the expected base salary range for non-commissionable roles
or on-target earnings for commissionable roles. Actual compensation packages are based on
several factors that are unique to each candidate, including but not limited to job-related
skills, depth of experience, relevant certifications and training, and specific work location.
Based on the factors above, Databricks anticipated utilizing the full width of the range. The
total compensation package for this position may also include eligibility for annual
performance bonus, equity, and the benefits listed above. For more information regarding which
range your location is in visit our page here.
Zone 1 Pay Range$125,000—$171,950 USDZone 2 Pay Range$112,600—$154,750
USDZone 3 Pay Range$106,300—$146,200 USDZone 4 Pay Range$100,000—$137,500 USDAbout
Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including
adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 —
rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and
agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a
unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity
Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt
Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of
our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can
excel. We take great care to ensure that our hiring practices are inclusive and meet equal
employment opportunity standards. Individuals looking for employment at Databricks are
considered without regard to age, color, disability, ethnicity, family or marital status,
gender identity or expression, language, national origin, physical and mental ability,
political affiliation, race, religion, sexual orientation, socio-economic status, veteran
status, and other protected characteristics.
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