Principal Product Manager, Agents

LeanData

. Own product direction and decide what ships, its order, and what gets cut .

Posted 9/22/2026full-timeSanta Clara • California • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in product management, particularly in owning products from concept to launch in B2B SaaS environments. Proficient in evaluating product performance, defining user experience, and navigating complex integrations with systems like Salesforce.

Highest-signal resume keywords

Product ManagementB2B SaaS ExperienceSalesforce IntegrationUX JudgmentDebugging Failures

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product DirectionPrototypingEvaluation WritingAgent Behavior DefinitionFailure CharacterizationDesigning PermissionsBuilding Eval HarnessesReading TracesSetting Pass CriteriaTool Call Reasoning

Soft Skills

CuriosityCommunicationCollaborationProblem-SolvingDecision-Making

Tools & Technologies

SalesforceData SystemsResearch CadenceInstrumentation

Industry Keywords

B2B Go-To-Market OperationsProduct IterationAgentic ProductGovernancePermissions

About the role

Key responsibilities & impact

Own product direction and decide what ships, its order, and what gets cut
Resolve ambiguous product, system behavior, and interaction-model problems
Build prototypes and working examples
Work directly with RevOps and marketing operations leaders in their environments
Drive design-partner interactions and product iteration
Define correct agent behavior
Build golden sets and meaningful evaluations
Read traces and develop intuition about live agent behavior
Characterize failures involving prompts, tools, context, or the product
Design permissions, approvals, recovery paths, and audit trails
Navigate integration with Salesforce and other data systems

Requirements

What you’ll need

7-8+ years in product management, owning products end to end
At least one agentic product taken to launch and run in production
Experience writing evals, building suites, setting pass criteria, and debugging failures by reading traces
Ability to reason about tool calls, context, retrieval, latency, and cost as product decisions
Ability to hold one's own with senior engineers
Demonstrable UX judgment and ability to defend interface decisions
Comfort working without existing scaffolding, including building needed eval harnesses, research cadence, and instrumentation
Genuine curiosity about B2B go-to-market operations
Preferred: taking a 0→1 product from concept to revenue in B2B SaaS
Preferred: familiarity with the Salesforce ecosystem or systems of record where governance and permissions are non-negotiable
No requirement to train models or be a data scientist/ML engineer