Product Manager, Agentic AI

Synopsys•US (non-CA) Off-Site, US (non-CA) Off-Site Office

6d•$108,000 - $162,000•Remote

About The Position

Synopsys is hiring an outbound, customer- and market-facing Product Manager for Agentic AI solutions in its Simulation & Analysis (S&A) division. The role takes the Synopsys Autopilot Platform and AgentEngineer solutions for Simulations & Analysis to market as part of the central Agentic AI product management team. The position is open to candidates based in the United States or Canada, who may work from their home country; relocation to the U.S. is not required. The Product Manager shapes a consistent Agentic AI story across S&A product lines and participates in forward-deployed customer engagements to bring agents into real engineering environments. Working closely with Applications Engineering, Sales, customers, product line teams, R&D, and Marketing, the role identifies valuable engineering workflows, turns customer and field feedback into product priorities, and equips teams to launch and demonstrate AI capabilities. The position also helps develop repeatable engagement playbooks, toolkits, reference architectures, and customer-facing materials; represents Synopsys at customer and industry events; and measures deployment outcomes, adoption, technical wins, and customer value. The role may involve travel up to 25%, including customer visits, workshops, and industry events.

Requirements

Bachelor’s degree in engineering, physics, computer science, or a related field.
5–8 years of customer-facing experience in product management, applications engineering, and/or related roles.
Experience in the engineering software industry, or similar experience at a company that uses Ansys or comparable simulation or engineering tools.
Strong product instincts, including the ability to identify customer problems, frame value, and make sound trade-offs with incomplete information.
Hands-on use of AI tools and the ability to prototype and configure agent workflows; candidates should be prepared to describe something they have built or improved with AI.
Excellent communication and presentation skills with engineers, customers, and executives.
A record of aligning teams across product lines and functions without direct management authority.
Ability to travel up to 25%, including customer visits, workshops, and industry events.

Nice To Haves

Master’s degree or MBA.
Superior user-experience instincts and experience working on user-facing products, ideally AI-powered products.
Direct AI expertise or prior AI-related work, especially in product management, such as building, evaluating, or launching AI products.
Forward-deployed, solutions engineering, or professional services experience, including hands-on workflow automation or scripting such as Python or PyAnsys in customer environments.
Experience working with customer IT and security teams on data protection, intellectual property, and AI deployment options, including in regulated industries.

Responsibilities

Take Synopsys Autopilot Platform and AgentEngineer solutions for Simulations & Analysis to market as the outbound product manager on the central Agentic AI product management team.
Shape consistent positioning, messaging, value propositions, and competitive differentiation for Agentic AI across S&A product lines.
Lead customer discovery with Applications Engineering and customer engineering teams to identify valuable AI-agent workflows and translate findings into prioritized feedback for product line PMs and R&D.
Enable S&A Applications Engineering to run forward-deployed lighthouse engagements by scoping customer use cases, defining success criteria and deployment plans, and joining on-site at strategic accounts.
Co-develop engagement templates, demo use cases, reference architectures, and guidance for connecting agents to customer data, tools, and systems.
Coordinate Agentic AI launches across S&A product lines and equip Sales and Applications Engineering with launch plans, capability and use-case catalogs, demo scripts, FAQs, and standard guidance on security, data handling, responsible AI, and deployment.
Represent S&A Agentic AI at customer briefings, executive meetings, webinars, user conferences, industry events, and joint go-to-market efforts with technology partners.
Bring competitive, pricing, and packaging insights back to the central team.
Measure and report outbound and forward-deployed results, including technical wins, lighthouse-to-production conversion, adoption at target accounts, and customer outcomes.