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Principal Product Manager, Agents

LeanData, Santa Clara

Posted pay

$200K–$220K

a year

Location: Santa Clara
Work type: Hybrid
Level: Principal
Experience: 7+ years
Skills in the job text: Salesforce
Posted: Sep 22, 2026
Last check: 1 h ago
Job type: Product management

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LeanData

About LeanData: funding, hiring and pay

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What you need

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

Nice to have

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

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

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

Read the job posting on the LeanData site

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Source: the LeanData Ashby job board. We last checked this job 1 h ago. We first saw it 8 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.

Interview questions

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LeanData

Open tech jobs: 5
With posted pay: 100%
Median posted base: $160K–$200K

About LeanData: funding, hiring and pay

Compared with similar jobs

This base pay is below the median for principal product management jobs in the Bay Area.

Median: $235K a year
Other jobs in the group: 111

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.