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Albert Invent

Cloud-based R&D platform with AI tooling

Agent Product Manager

Product ManagementConfirmed live in the last 24 hours
Full-timeOakland, CA, USANo salary listedIn-person

About the Job

Requirements

  • At least 5 years of product management experience, with a track record of shipping AI-powered products in a high-growth environment.
  • Exceptional customer discovery skills, including the 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 software as a service or enterprise software; familiarity with research and development or science-adjacent workflows is a plus.
  • Comfort prototyping solutions directly and validating ideas by building them.
  • Ability to engage technical and non-technical audiences in writing and verbally.
  • Ability to work effectively across teams and time zones.
  • Ability to visualize and design how AI agent systems connect, share data, and enable valuable customer outcomes at scale.
  • Ability to persistently solve problems and make progress in ambiguous early-stage product environments.
  • Deep understanding of enterprise customer operations and ability to ask relevant questions and design effective solutions.
  • Passion for applying emerging AI capabilities to practical, measurable business problems.
  • Ability to adapt to dynamic customer and company environments as approaches evolve with new information.
  • Ability to drive agent skill initiatives end-to-end with minimal oversight and align cross-functional teams to shared outcomes.

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 using the platform's capabilities, prompt engineering, evaluation frameworks, and tool integrations to address customer problems.
  • Work 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 with Forward Deployed Scientists, Engagement Managers, and Delivery teams to ground agent skill development in real deployment experience and customer context.
  • Advise enterprise customers on their AI transformation roadmaps and help them realize the operational impact of agentic AI within research and development workflows.
  • Champion adoption and measurable return on investment across the agent skills portfolio, advocating internally for prioritization and externally for customer success.
  • Contribute patterns, playbooks, and evaluation standards for the company's agent products.

Desired Qualifications

  • Familiarity with research and development or science-adjacent workflows.

About the Company

Albert Invent

Cloud-based R&D platform with AI tooling

Albert Invent provides a cloud-based, end-to-end R&D platform for chemistry and materials science. It unifies formulation and experimentation tools with AI/ML for data-driven insights, automated inventory management, and regulatory compliance, all accessible as a subscription service. The platform connects lab systems, enabling real-time visibility, on-demand reporting, and better collaboration to reduce experiment iterations and allocate resources efficiently. Unlike other tools that cover only parts of R&D, Albert Invent offers an integrated, global solution that spans technicians, engineers, and managers in academic and commercial labs, helping teams bring products to market faster and with sustainable practices. The company's goal is to accelerate innovation and speed to market by improving productivity, collaboration, and data-driven decision making across the R&D workflow.

Company size
51-200
Company stage
Series B
Total funding
$105M
Headquarters
Oakland, CA
Founded
2022

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