LeanData
Principal Product Manager, Agents
LeanData is hiring a Principal Product Manager in Santa Clara to own an agentic product end to end — setting roadmap, building prototypes, writing evals, reading traces, and designing trust features like permissions, recovery paths, and audit trails for RevOps users. The role is hands-on with LLM agents, tool calls, and the Salesforce ecosystem.
- Compensation
- $200K–$220K / yr
- Location
- Santa Clara
- Work setup
- Hybrid
- Seniority
- Principal
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Product
- Posted
Skills
Must have
- 7-8+ years in product management, owning products end to end
- At least one agentic product taken to launch that ran in production
- Wrote evals yourself: built suites, set pass criteria, and debugged failures by reading traces
- Depth to reason about tool calls, context, retrieval, latency, and cost as product decisions
- Real UX judgment with defensible opinions about interfaces
- Comfort without scaffolding — builds own eval harnesses, instrumentation, and cadences
- Genuine curiosity about B2B go-to-market operations
Nice to have
- Taking a 0→1 product from concept to revenue in B2B SaaS
- Salesforce ecosystem, or any system of record where governance and permissions are non-negotiable
Full 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