Remote AI Product Manager for Enterprise Automation

LE001 Automation Anywhere, Inc

San Jose (CA)

Hybrid

USD 150,000 - 170,000

Full time

14 days+

Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

Benefits offered by this job

Flexible work schedule

Unlimited PTO

Holidays (12 per year)

Volunteer days (4)

Parental leave

Job summary

Automation Anywhere in San Jose, CA is seeking a Product Manager to shape the next generation of agentic AI within our APA platform. This hands-on role spans computer-use agents and agent harnesses that redefine how work gets done at scale.

You will translate fast-moving AI capabilities into products that are usable, commercially valuable, and built for the enterprise. You will own the end-to-end lifecycle, define roadmaps, work with customers and partners, and collaborate with engineering, UX,

Qualifications

4+ years of product management experience in enterprise software, with a meaningful focus on AI products.
At least 1 year of hands-on experience as a PM for Generative AI, Agentic AI, or Large Language Models (LLMs).
Demonstrated experience taking a technical product from concept to launch (0-to-1, end-to-end).
Background in enterprise software, automation platforms, or developer tooling.
Strong product sense for turning complex, ambiguous problems into clear, delightful product experiences.
Solid understanding of Agentic AI, Generative AI, computer-use agents, agent harnesses, and AI evaluation methodologies; direct hands-on experience is a strong advantage.
Experience prototyping with emerging AI and agent-based technologies—having built things, even if scrappily.
Proven track record of working effectively across engineering, UX, sales, and marketing to get details distributed.

Responsibilities

Own the end-to-end product lifecycle for your areas—from ideation through launch and iteration.
Define and execute the roadmap for computer-use capabilities and emerging agent harnesses within the broader AI platform.
Work directly with customers, partners, and prospects to uncover pain points, validate hypotheses, get feedback, and build deep domain intuition.
Partner closely with engineering, UX, and applied AI teams to ship high‑quality, technically sophisticated products in an agile environment.
Create clear, compelling product specifications, PRDs, and narratives that align technical and non‑technical stakeholders.
Use data and evaluation frameworks to define success metrics, measure product performance, and drive continuous improvement.
Stay at the forefront of the agentic AI landscape—tracking research, trends, and emerging patterns—and bring those insights into your roadmap.
Collaborate with sales, marketing, and solutions teams to ensure successful go‑to‑market execution.