AI/Robotics Product Manager

Hyphen Connect Limited

$120K — $150K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Technical background in AI, computer science, or engineering.
  • Proven experience shipping complex hardware or deep-tech software products.
  • Exceptional ability to communicate complex concepts to both engineers and stakeholders.
  • Strong analytical skills and a data-driven decision-making approach.

Responsibilities

  • Translate deep tech breakthroughs (VLA models, Agentic RAG) into tangible customer value.
  • Define safety, usability, and performance metrics for the engineering teams.
  • Interface with early enterprise adopters to gather feedback on agentic and robotic deployments.
  • Lead cross-functional teams to ensure successful product delivery.
  • Develop and maintain a product roadmap that aligns with strategic business goals.

Benefits

  • Opportunity to work with cutting-edge technologies in AI and robotics.
  • Chance to collaborate with enterprise clients and drive real-world solutions.
  • Influence product development and metrics from early stages to delivery.
Full Job Description
We are seeking a dynamic AI/Robotics Product Manager to drive the integration of cutting-edge technologies and transform them into customer-centric solutions. This role will play a pivotal part in defining safety, usability, and performance metrics, while collaborating with enterprise clients to refine robotic and agentic deployments.

Responsibilities:
  • Translate deep tech breakthroughs (VLA models, Agentic RAG) into tangible customer value.
  • Define safety, usability, and performance metrics for the engineering teams.
  • Interface with early enterprise adopters to gather feedback on agentic and robotic deployments.
  • Lead cross-functional teams to ensure successful product delivery.
  • Develop and maintain a product roadmap that aligns with strategic business goals.

Required Skills:
  • Technical background in AI, computer science, or engineering.
  • Proven experience shipping complex hardware or deep-tech software products.
  • Exceptional ability to communicate complex concepts to both engineers and stakeholders.
  • Strong analytical skills and a data-driven decision-making approach.

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