Technical Product Manager – AI Agents

Technical Product ManagerTechnical Product ManagerFull TimeRemoteTeam 10,001+Since 1984H1B SponsorCompany Site LinkedIn

Location

United States

Posted

40 days ago

Salary

$132.6K - $160K / year

Bachelor Degree7 yrs expExperience acceptedEnglishAzure

Job Description

• Partner with business units to surface pain points and opportunities for AI agents. • Translate business needs into clear requirements and prototypes. • Act as a trusted consultant and guide for stakeholders on AI possibilities. • Rapidly design and deliver version-one AI agents tailored to business unit needs. • Collaborate with AI Engineers, data teams, and platform teams to ensure scalable solutions. • Document, test, and refine agent solutions based on feedback and adoption. • Train and mentor coworkers within business units to become AI agent builders themselves. • Develop playbooks, best practices, and lightweight training materials. • Foster a culture of curiosity, experimentation, and continuous learning. • Explore emerging AI models, tools, and frameworks; bring forward innovative applications. • Continuously evaluate how new AI capabilities can solve real-world business challenges. • Advocate for responsible and scalable use of AI across the enterprise.

Job Requirements

Bachelor’s degree and 7 years of product management, consulting, or technology experience; OR 11 years of product management, consulting, or technology experience.
Strong background in solution discovery and rapid prototyping.
Proven experience building and delivering AI-powered solutions (agents, workflows, AI integrated software), including hands-on work with LLMs and AI agent platforms (e.g., Microsoft 365 Copilot Studio, Azure AI Foundry, N8N, Claude Code, others).
Strong background in product lifecycle management, solution discovery, and agile development methodologies.
Demonstrated history of partnering with business units to identify opportunities, facilitate solution discovery, and translate stakeholder needs into actionable requirements for technology initiatives.
Proven track record of acting as a consultant to internal teams, guiding the adoption of new technologies and leading workshops or consultations to explore use cases for AI.
Curiosity and passion for experimenting with AI models and tools; quick learner who thrives in ambiguity.
Strong skills in communication, influence, stakeholder management, and relationship-building to drive consensus and adoption of AI-driven solutions.
Working knowledge of AI and machine learning concepts, frameworks, and tools, with the ability to evaluate and experiment with emerging models and technologies for practical use.