# Product Manager, AI Agents & MCP Tools at Recorded Future

- Company: Recorded Future
- What the company does: Get real-time, actionable cyber threat intelligence with Recorded Future. Mitigate cyber risks, prioritize threats, and proactively secure your organization. Backed by GV and Insight.
- Company website: https://www.recordedfuture.com/
- Type: Startups (AI role)
- Level: Senior
- Location: Boston, MA
- Work setup: On-site
- Pay: $129K to $194K base salary per year (USD)
- Posted: 2026-08-10
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/recordedfuture/jobs/8691951002
- Page: https://www.1752.vc/careers/jobs/recorded-future-product-manager-ai-agents-and-mcp-tools/

## About the role

We're looking for a hands-on Product Manager to own the lifecycle of Recorded Future's AI agents and MCP tools — the intelligent workflows and tool integrations that apply large language models to real threat intelligence problems for our customers. This is not a role focused on training models or building LLMs. Instead, you'll build, evaluate, and ship agents that orchestrate existing models, and shape the MCP tools those agents and our customers rely on to access Recorded Future intelligence.

## What they're looking for

- Own the end-to-end lifecycle of AI agents — design, build, evaluation, customer validation, and deployment
- Build agents that orchestrate LLMs and tools against real intelligence use cases, selecting the right model for each task based on capability, latency, and cost tradeoffs
- Own and refine the MCP tool surface — writing clear, effective tool descriptions, identifying gaps in coverage, and improving how tools expose Recorded Future intelligence to agents and customers
- Analyze MCP tool usage patterns to understand what customers and agents actually invoke, where tools fail or underperform, and where new tools are needed
- Write, maintain, and expand evaluation suites to measure agent and tool quality, catch regressions, and guide iteration, update agents and tools as models, data, and customer needs evolve
- Test agents and tools directly with customers, gathering feedback and confirming that outputs meet their workflows and expectations before and after launch

Tags: Product Management