Synopsys had H-1B petitions approved for 178 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. See the record
At a glance
Product Manager, Agentic AI at Synopsys, an on-site role based in United States Off-site, USA. Experience level: 5-8 Years. Posted on 12 November 2026, read from Synopsys' own careers page (Radancy), which RealAnalystJobs re-checks daily and removes the role when it closes. Synopsys has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role).
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We Are:
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.
You Are:
You are an outbound (customer and market facing) product manager who loves putting new technology in front of engineers and seeing how it changes their work. You thrive in working side by side with Applications Engineers, Sales, and customer teams to get AI agents up and running in real engineering environments.
You bring 5-8 years of experience in product management or applications engineering in the engineering software industry, or you’ve lived in these use cases and engineering workflows from the customer perspective. You are a power user of AI: you’ve built or improved something real with it, and you’re ready to show us. You pair sharp product instincts with a strong sense of great user experience, and you carry one cohesive agentic AI story across Synopsys products, customers, and markets.
This role is open to candidates based in the United States or Canada . The qualified candidate may work from their home country, and relocation to the U.S. is not required.
What You'll Be Doing:
• Taking Synopsys Autopilot™ Platform and AgentEngineer™ solutions for the Simulation & Analysis (S&A) division, also known as Ansys part of Synopsys , to market as the outbound product manager on the central Agentic AI product management team, shaping the market story and participating in forward-deployed engagements that get agents delivering value inside customer environments.
• Communicating one consistent Agentic AI story externally across S&A product lines: positioning, messaging, value propositions, and competitive differentiation that every product team, Sales, Marketing, and Applications Engineering team uses the same way.
• Leading customer discovery with Applications Engineering and customer engineering teams at strategic accounts and in forward-deployed engagements to identify the workflows where AI agents create the most value and turning what you and the field teams learn into prioritized feedback that product line PMs and R&D use to build reusable AI product capabilities.
• Enabling S&A Applications Engineering (AE) to run forward-deployed lighthouse (first-of-a-kind) Agentic AI engagements: scoping high-value use cases with customers, defining success criteria and deployment plans, and joining on-site at strategic accounts.
• Co-develop the playbook and toolkit with our Application Engineering teams: engagement templates, demo use cases, reference architectures, and guidance for connecting agents to customer data, tools, and systems.
• Coordinating Agentic AI launches across S&A product lines and equipping Sales and Applications Engineering with launch plans, a single catalog of Agentic AI capabilities and proven use cases, demo scripts, FAQs, and standard answers on security, data handling, responsible AI, and deployment.
• Representing Synopsys S&A Agentic AI at key customer briefings, executive meetings, webinars, user conferences, industry events, and in joint go-to-market efforts with technology partners, and bringing competitive, pricing, and packaging insights back to the central team.
• Measuring outbound and forward-deployed results, such as technical wins, lighthouse-to-production conversion, adoption at target accounts, and customer outcomes, and reporting them back to leadership.
The Impact You Will Have:
• Help engineers at leading companies put AI agents to work on real simulation and engineering workflows.
• Help Applications Engineering turn forward-deployed engagements into fast, repeatable customer wins.
• Make Synopsys the trusted choice for Agentic AI by pairing our leading autonomous engineering solutions with our strength in physics-based accuracy.
• Give customers and the field one clear, consistent Agentic AI story across the S&A portfolio.
• Turn lighthouse engagements and field deployments into reference customers and scalable product capabilities.
• Bring the voice of the customer into every Agentic AI product and development priority decision.
• Shorten the path from a new agent's capability to measurable customer value.
What You'll Need:
• Bachelor’s degree in engineering, physics, computer science, or a related field; a master’s degree or MBA preferred.
• 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: you identify the real customer problem, frame the value, and make sound trade-offs with incomplete information.
• Strong AI curiosity: a hands-on power user of AI tools, able to prototype and configure agent workflows yourself; be ready to tell us what you have built or improved with AI.
• Excellent communication and presentation skills with engineers, customers, and executives, and a record of aligning teams you don’t manage across product lines and functions.
• Ability to travel up to 25%, including customer visits, workshops, and industry events.
• Strongly preferred: superior UX instincts and experience working on user-facing products, ideally AI-powered ones.
• Strongly preferred: direct AI expertise or prior AI-related work, especially in product management, such as building, evaluating, or launching AI products.
• Strongly preferred: forward-deployed, solutions engineering, or professional services experience, including hands-on workflow automation or scripting (e.g., Python, PyAnsys) in customer environments.
• Nice to have: experience working with customer IT and securit
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