AI Product Manager
Automation Anywhere
- Location
- San Jose, California
- Work model
- On-Site
- Level
- Entry
- Posted
- 15d ago
Skills
About this role
About Us
Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential. Our opportunity: We are looking for a Product Manager ready to shape the next generation of agentic AI within our Agentic Process Automation (APA) platform. This is a hands-on, high-impact role at the frontier of enterprise automation — spanning computer-use agents and emerging agent harnesses that are redefining how work gets done at scale. You'll translate fast-moving AI capabilities into products that are usable, commercially valuable, and built for the enterprise. Success in this role requires strong product instincts, deep technical curiosity, and the ability to move fluidly between strategy and execution. You'll partner closely with engineering, design, research, and go-to-market teams — and spend meaningful time with customers and partners to ensure what we build solves real problems. If you're energized by emerging AI systems, understand enterprise automation deeply, and thrive at the intersection of product strategy, customer discovery, and technical execution — this role was built for you. Who you’ll report to: This role will report to the Sr. Director, Product Management Location: Hybrid role with regular onsite workdays in our San Jose, CA office strongly preferred. Other U.S locations may be considered. You will make an impact by being responsible for: Owning the end-to-end product lifecycle for your areas — from ideation through launch and iteration Defining and executing the roadmap for computer-use capabilities and emerging agent harnesses within the broader AI platform Working directly with customers, partners and prospects to uncover pain points, validate hypotheses, get feedback and build deep domain intuition Partnering closely with engineering, UX, and applied AI teams to ship high-quality, technically sophisticated products in an agile environment Creating clear, compelling product specs, PRDs, and narratives that align technical and non-technical stakeholders Using data and evaluation frameworks to define success metrics, measure product performance and drive continuous improvement Staying at the forefront of the agentic AI landscape — tracking research, trends, and emerging patterns — and bring those insights into your roadmap Collaborating with sales, marketing, and solutions teams to ensure successful go-to-market execution You will be a great fit if you have: Bachelor's degree in Computer Science, Engineering, or similar technical domain. Master's degree in a technology or business-related field a plus 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; and equally comfortable in strategic discussions and deep execution details 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 — you've actually built things, even if scrappily Proven track record of working effectively across engineering, UX,