AI Product Manager - Autonomous Agent Systems

Pantomath

San Francisco (CA)

On-site

USD 124,000 - 182,000

Full time

14 days+
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Job summary

Pantomath is hiring a Senior Product Manager for AI with hands-on experience building agentic systems to own the strategy and execution of our AI product surface. This role sits at the intersection of product leadership and applied AI engineering, defining how agents resolve data incidents and interact with customers across Teams, Slack, ServiceNow, and Jira.

The ideal candidate deeply understands foundation models, context, tool-calling, evaluation for non-deterministic systems, and has the

Qualifications

  • Hands-on experience shipping production AI features and agent workflows.
  • 3+ years of product management on technically complex AI/data platforms or APIs.
  • Bachelor's degree in CS/DS/Engineering or related field.

Responsibilities

  • Own the AI product strategy and roadmap, deciding which workflows an agent should handle end-to-end, assist, or stay out of.
  • Evaluate feasibility, failure modes, and maintainability of agentic features.
  • Define and defend the agent boundary: autonomous actions vs human-confirmed steps.
  • Translate customer needs and model capabilities into clear PRDs for engineering.
  • Partner with engineering to design, build, and ship agents with high accuracy, latency, and security.
  • Build and own the evaluation harness with datasets, rubrics, and regression tests.

Skills

LLM hands-on
Product management
Data platforms
APIs

Education

Bachelor's degree in Computer Science or related field

Tools

Teams integration
Slack integration
ServiceNow integration
Jira integration
MCP
Agent frameworks

Job description

Pantomath is hiring a Senior Product Manager for AI with hands-on experience building agentic systems to own the strategy and execution of our AI product surface. This role sits at the intersection of product leadership and applied AI engineering, defining how agents resolve data incidents and interact with customers across Teams, Slack, ServiceNow, and Jira.

The ideal candidate deeply understands foundation models, context, tool-calling, evaluation for non-deterministic systems, and has the

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