Copy of Agent PM

Albert InventOakland, CA
Remote

About The Position

We are seeking an experienced Agent Product Manager (PM) to join our growing team. In this role, you will identify and prioritize high-impact agentic AI opportunities across enterprise customer workflows, translating discovery into structured agent skill requirements, success metrics, and roadmap decisions. You will own the full lifecycle of agent skills, from problem discovery and prototype validation through operational adoption and transition into generally available, monetizable capabilities. You will also design, build, test, and iterate on AI agent skills directly, applying Albert’s agentic platform capabilities, prompt engineering, evaluation frameworks, and tool integrations to real customer problems. Embedding with strategic customers, you will map end-to-end workflows, uncover automation opportunities, and facilitate co-design workshops that translate business needs into agent behaviors and system logic. You will partner closely with Forward Deployed Scientists, Engagement Managers, and Delivery teams to ground agent skill development in real deployment experience and customer context. As a trusted advisor to enterprise customers on their AI transformation roadmap, you will help them envision and realize the operational impact of agentic AI within their R&D workflows. You will champion adoption and measurable ROI across your portfolio of agent skills, advocating internally for prioritization and externally for customer success. Additionally, you will contribute to establishing the patterns, playbooks, and evaluation standards for Agents as one of Albert’s earliest Agent PMs.

Requirements

  • 5+ years of product management experience, with a track record of shipping AI-powered products in a high-growth environment.
  • Exceptional customer discovery skills, ability to map workflows, and surface unspoken pain points.
  • Hands-on experience building or deploying AI agents, copilots, or assistants — including prompt engineering, tool use, evaluation, and iterative refinement.
  • Experience in vertical SaaS or enterprise software; familiarity with R&D or science-adjacent workflows is a plus.
  • Comfort prototyping solutions directly — you validate ideas by building them, not just describing them.
  • Excellent written and verbal communication skills; able to engage with technical and non-technical audiences.
  • Collaborative mindset with the ability to work effectively across teams and time zones.
  • Systems Thinking: Ability to visualize and design how AI agent systems connect, share data, and enable valuable customer outcomes at scale.
  • Grit: Self-starter, persistent problem solver, relentless in the pursuit of progress in ambiguous 0-to-1 product environments.
  • Customer Empathy: Deep understanding of how enterprise customers operate; asks the right questions and designs solutions that stick.
  • Innovator: Passionate about applying emerging AI capabilities to practical, measurable business problems before the patterns are written.
  • Adaptability: Comfortable operating in dynamic, fast-moving customer and company environments where the approach evolves with new information.
  • Leadership: Ability to drive agent skill initiatives end-to-end with minimal oversight, aligning cross-functional teams to shared outcomes.

Nice To Haves

  • Familiarity with R&D or science-adjacent workflows is a plus.

Responsibilities

  • Identify and prioritize high-impact agentic AI opportunities across enterprise customer workflows, translating discovery into structured agent skill requirements, success metrics, and roadmap decisions.
  • Own the full lifecycle of agent skills — from problem discovery and prototype validation through operational adoption and transition into generally available, monetizable capabilities.
  • Design, build, test, and iterate on AI agent skills directly — applying Albert’s agentic platform capabilities, prompt engineering, evaluation frameworks, and tool integrations to real customer problems.
  • Embed with strategic customers to map end-to-end workflows, uncover automation opportunities, and facilitate co-design workshops that translate business needs into agent behaviors and system logic.
  • Partner closely with Forward Deployed Scientists, Engagement Managers, and Delivery teams to ground agent skill development in real deployment experience and customer context.
  • Serve as a trusted advisor to enterprise customers on their AI transformation roadmap, helping them envision and realize the operational impact of agentic AI within their R&D workflows.
  • Champion adoption and measurable ROI across your portfolio of agent skills — advocating internally for prioritization and externally for customer success.
  • Contribute to establishing the patterns, playbooks, and evaluation standards for Agents as one of Albert’s earliest Agent PMs.

Benefits

  • We care about you. Albert works hard to create a positive environment for our employees, and we think your life outside of work is important too. We work hard and we play hard.
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