Principal Product Manager, Agents
Summary
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.
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
Skills
As published by ashby · 6 questions
Basics
Name, Email, Resume
Short answers (4)
- Have you been referred to this role by a current LeanData employee?
- Are you related to any current or former LeanData employee ?
- What are your salary expectations?
- LinkedIn profile
Pick from a list (2)
- Are you able to come into our office in Santa Clara, CA office twice each week?
- Will you require visa sponsorship or support from LeanData in the future? (this includes, H1-B, H1-B transfers, TN and all other employer sponsored visas)
