
Principal Product Manager, Agents at LeanData (Santa Clara, CA)
LeanData· Santa Clara, CA·
Role details
Work type
Hybrid
Employment
Full-Time
Job description
What You’ll Do
Own the Product
- Set direction and make the calls on what ships, in what order, and what gets cut
- Take ambiguous problems and resolve product, system behavior, and interaction model together, not sequentially
- Build the prototypes and working examples that make an abstract idea arguable
- Work directly and often with RevOps and marketing ops leaders, in their environments, so as to bring the reality of their challenges into solutions
- Drive design partner interactions to iterate the product
Define What Good Looks Like
- Define the correct behavior for the agents on this product
- Build the golden sets and help write meaningful evals yourself
- Read the traces. Build intuition for how the agent behaves on live work, not on your test cases
- When it goes wrong, characterize the failure: prompt problem, tool problem, context problem, or product problem
Design for Trust
- Design the permissions and approvals that define what the agent does on its own and what it must ask about
- Design the recovery paths: a failed tool call, wrong data, an uncertain agent
- Design the audit trail, so a RevOps leader can prove next quarter what the agent did and why
- Navigate operating alongside Salesforce and other data systems, where the records live and the actions land
Qualifications
Required Qualifications
- 7-8+ years in product management, owning products end to end
- At least one agentic product you took to launch. Not a prototype, not an internal pilot, not a feature with an LLM call in it. Something that ran in production and taught you things you’d do differently
- You wrote evals yourself. You’ve built the suites, set the pass criteria, and debugged failures by reading traces. You know how far apart eval theory and eval practice are
- Depth to reason about tool calls, context, retrieval, latency, and cost as product decisions, and to hold your own with senior engineers
- Real UX judgment. Opinions about interfaces you can show the work behind and defend past the first objection
- Comfort without scaffolding. There’s no eval harness, research cadence, or instrumentation waiting for you. You build what you need and move
- Genuine curiosity about B2B go-to-market operations. Not a RevOps expert on day one, but energized to learn the domain deeply
Preferred Qualifications
- Taking a 0→1 product from concept to revenue in B2B SaaS
- The Salesforce ecosystem, or any system of record where governance and permissions are non-negotiable
What This Role Is Not
- Not a platform role. You’re not building services or shared capabilities for other product teams
- Not a people management role, but a senior independent contributor role.
- Not forward-deployed, solutions, or program management for someone else’s roadmap
- We’re not asking you to train models. You don’t need to be a data scientist or an ML engineer
Why work at LeanData
- Culture & Values: Emphasizes "Win as a Team," "Act Like an Owner," "Be Humble and Keep Learning," "Seek Diverse Perspectives," and "Customer First." Employee reviews on LinkedIn rate the culture at 4.5/5.0.
- Work Environment: Headquarters in Santa Clara, CA, with an office in Dublin, Ireland. The company supports a global, distributed team across 8 countries.
- Benefits:
- Employee insurance covered up to 90%
- Stock options for all full-time employees
- Flexible vacation program
- $500 annual learning stipend
- Employee 401K plan
- Engineering Culture: Rated highly by employees (4.3/5.0 overall on LinkedIn). The technical team includes roles like Machine Learning Engineer and Senior Site Reliability Engineer, indicating a strong focus on AI and infrastructure.
- Leadership: CEO Katy Keim (former CEO of LQ Digital, CMO of Lithium Technologies) leads the company, with a strong executive team including a CFO (Jaya Jaware), CPO (Amar Doshi), and SVP of Engineering (Vivek Ravisankar).