Pantomath is an AI-powered Data Operations Center that monitors and autonomously resolves data issues across the entire data stack. Backed by General Catalyst.
About the role
Pantomath is hiring a Senior Product Manager for AI with direct, hands-on experience building agentic systems to own the strategy and execution of our AI product surface.
What they're looking for
- Experience with MCP, agent frameworks, or embedding AI into third-party surfaces such as Teams, Slack, ServiceNow, or Jira
- Prior ownership of an AI or agent product within a B2B SaaS or data product
- Familiarity with data observability, lineage, governance, or metadata platforms
- Hands-on background in data engineering or data architecture, or experience building AI on top of enterprise data systems
- Experience in a high-growth SaaS or developer-focused product environment
More about this role
Pantomath is hiring a Senior Product Manager for AI with direct, hands-on experience building agentic systems to own the strategy and execution of our AI product surface.
This role sits squarely at the intersection of product leadership and applied AI engineering. You will be responsible for defining how Pantomath's agents resolve data incidents: what context they can see, what actions they are trusted to take, how their output is evaluated, and where the boundary sits between what the agent does and what the human decides. That work spans our context layer (structural, behavioral, baseline, risk, and semantic context), our resolution and triage agents, and our MCP-based distribution into the surfaces customers already work in (Teams, Slack, ServiceNow, Jira).
The bar for this role is hands-on. You deeply understand frontier model capabilities and limitations, fluency in the parts that decide whether an agent is trustworthy: what goes into its context and what gets left out, tool and API surfaces the model can actually use correctly, evaluation for non-deterministic systems, and the cost/latency/quality frontier and the unique UX considerations of non-deterministic systems. Enough...
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