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Open nowPosted 19 days agoWe saw it 26 min after it went up

Principal Product Manager, Agents

LeanData10 open roles

Pay
$200,000 – $220,000 a year
Where
Santa Clara
Work mode
Hybrid
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Your applicationOpen nowPrincipal Product Manager, AgentsLeanData · Santa Clara

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The clock on this job

Early applications get read.

8.3% of postings close within 7 days. Measured by our own scanner across the market. LeanData postings stay open a median of 31 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 8.3%7 days
  4. 15.3%14 days
  5. 34.1%30 days
This job: posted 19 days ago

LeanData median: 31 days open

The posting

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

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