True Talent Solutions Partners
Technical Product Manager
- New York, New York
- Onsite
- full time
- $175k–$275k/year
- Posted today
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About the role
About the Role
Join an internal team at a Series B AI company building agent-driven workflows and tools for its own operations. You will help shape how people and AI agents collaborate, with the goal of automating complex work end to end.
What You'll Do
Build and ship internal AI agents that can contribute code, maintain company knowledge, and manage workflows from start to finish.
Own context architecture by defining sources of truth and keeping documentation aligned with how work is actually done.
Design integrations and Model Context Protocol (MCP) interfaces that make internal tools accessible to agents.
Create evaluation suites, monitor agent performance, and improve outcomes through iteration.
Develop infrastructure, interfaces, and operating practices for effective human-agent collaboration as the company grows.
What We're Looking For
Five to fifteen years of experience as a product manager, engineer, or founder building B2B software.
Experience shipping production code professionally, or strong coding ability and demonstrated use of AI coding tools to build software.
A track record launching technical B2B SaaS or AI products, ideally in a high-ownership startup environment.
Strong technical product judgment, including the ability to identify and prioritize high-impact AI initiatives.
Experience working closely with engineering teams on technical products such as AI agents or data platforms.
Understanding of software development lifecycle automation and agent infrastructure.
STEM education and a record of sustained contributions in recent startup roles.
Compensation & Benefits
Base salary: $175,000 to $275,000 annually. Visa sponsorship is available.
Location
On-site in New York, New York.
Skills
- Technical Product Management
- AI Agents
- B2B Software
- B2B SaaS
- Production Coding
- AI Coding Tools
- Technical Product Judgment
- Product Prioritization
- Engineering Collaboration
- Context Architecture
- Knowledge Management
- Workflow Automation
- Model Context Protocol (MCP)
- Agent Evaluation
- Agent Performance Monitoring
- Software Development Lifecycle Automation
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