AI Product Manager, Enterprise Automation

Automation Anywhere Inc.

San Jose (CA)

Hybrid

USD 150,000 - 170,000

Full time

14 days+
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Benefits offered by this job

Discretionary bonus
Equity
Medical benefits

Job summary

Automation Anywhere Inc. is seeking an AI Product Manager to own the end-to-end lifecycle of agentic AI capabilities within its APA platform.

You will translate AI advances into enterprise-ready products, collaborating with engineering, UX, research, and GTM teams, and engaging customers to validate solutions. You will bring 4+ years in enterprise software product management and hands-on experience with Generative AI/LLMs, turning complex problems into clear, market-ready products while

Qualifications

  • 4+ years in enterprise software product management.
  • At least 1 year in Generative AI or LLM PM.
  • Experience taking a technical product from concept to launch.
  • Strong collaboration with engineering, UX and GTM teams.
  • Bachelor’s degree in CS or engineering or related field.

Responsibilities

  • Own the end-to-end product lifecycle from ideation to launch and iteration.
  • Define and execute the roadmap for AI capabilities within the platform.
  • Engage customers and partners to uncover pain points and validate hypotheses.
  • Collaborate with engineering, UX, and applied AI teams to ship high-quality products.
  • Create clear PRDs and narratives aligning technical and business stakeholders.
  • Use data and evaluation frameworks to measure success and drive improvements.

Skills

AI product management
Generative AI
End-to-end PM
Enterprise software
Stakeholder communication
Data-driven decisions

Education

BSc in CS/Engineering

Job description

Automation Anywhere Inc. is seeking an AI Product Manager to own the end-to-end lifecycle of agentic AI capabilities within its APA platform.

You will translate AI advances into enterprise-ready products, collaborating with engineering, UX, research, and GTM teams, and engaging customers to validate solutions. You will bring 4+ years in enterprise software product management and hands-on experience with Generative AI/LLMs, turning complex problems into clear, market-ready products while

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