Director of Product Management, Enterprise AI

Analog Devices, Inc.; San Jose (CA); Presencial; USD 240.000 - 320.000; Jornada completa

Descripción de la vacante

Analog Devices, Inc. in San Jose seeks a Director of Product Management to lead product strategy and execution for enterprise AI agents and assistants.

You will build and develop a high-performing product-management team and set standards for product thinking, requirements, prioritization, and partnerships with science and engineering. You will own the vision, roadmap, and investment choices for enterprise AI initiatives, translating real workflows into clear requirements and measurable outcomes

Responsabilidades

• Build a strong product management organization that combines rigorous product practice with credible partnership across science, engineering, and the business.
• Recruit, lead, coach, and retain a high-performing team of product managers responsible for enterprise AI products.
• Set clear standards for product thinking, discovery, written requirements, prioritization, decision quality, and product reviews.
• Develop the team's ability to work credibly with data science, ML engineering, software engineering, design, and business stakeholders.
• Create clear accountability, career development, and operating mechanisms that enable the team to perform consistently at a high level.
• Define the vision, portfolio strategy, and roadmap for enterprise agents and assistants, making disciplined choices about where ADI should invest.
• Establish a clear product vision and multi-horizon roadmap for a portfolio of enterprise AI agents and assistants.
• Decide which use cases to pursue, sequence later, defer, or decline based on user value, business impact, technical feasibility, risk, and cost.
• Distinguish between capabilities that can be delivered reliably today and those that depend on emerging technical maturity.
• Maintain a coherent portfolio view that balances near-term delivery with longer-term platform and capability development.
• Build active partnerships with business stakeholders and convert real workflows and pain points into precise product direction.
• Lead discovery with business stakeholders and users to understand workflows, decisions, pain points, constraints, and unmet needs.
• Translate insights into crisp product requirements, success criteria, scope, user journeys, and acceptance conditions.
• Ensure science and engineering teams can execute without repeated reinterpretation by resolving ambiguity early and documenting decisions clearly.
• Challenge requests constructively, separating underlying user problems from proposed solutions and avoiding low-value or poorly defined use cases.
• Define how product success is measured, reviewed, and used to redirect investment across the Enterprise AI portfolio.
• Establish a balanced product scorecard covering adoption, task completion, user trust and satisfaction, grounding, relevance, and other quality measures.
• Connect product performance to business outcomes such as time saved, productivity improvement, cost avoided, risk reduced, or service quality

Descripción del empleo

About Analog Devices Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X .

Empowering the Intelligent Edge

Our solutions help customers transform raw data into actionable insights and make connected devices smarter and more responsive. With our analog and mixed-signal devices, power management, radio frequency offerings, and edge processors and sensors, we harness and activate the data that bridges the physical and digital worlds.

Whatever breakthroughs are next-in aerospace, automotive, sustainable energy, communications, digital healthcare, industrial automation, instrumentation, or consumer, ADI will be there to keep you ahead of what's possible.

The Role

ADI is seeking a Director of Product Management to lead product strategy and execution for a portfolio of enterprise AI agents and assistants. Reporting to the Head of Enterprise AI, this leader will build and develop a high-performing team of product managers and establish a consistently high standard for product thinking, written requirements, prioritization, and partnership with science and engineering.

The role will own the vision, roadmap, and investment choices for enterprise agents and assistants. It will determine which use cases ADI should pursue, sequence, defer, or decline, grounding those decisions in business value, user needs, technical feasibility, risk, and the evolving capabilities of AI. The role will serve as the bridge between business stakeholders and delivery teams, translating real workflows and pain points into clear requirements, success criteria, and executable scope.

This is a strategically important role in ADI's Enterprise AI agenda. It will ensure that AI investment is directed toward valuable, adoptable products with measurable outcomes, and that launches are supported by effective alignment, communication, and change management across the organization.

Key Responsibilities

Product Management Leadership & Team Development

• Build a strong product management organization that combines rigorous product practice with credible partnership across science, engineering, and the business.
• Recruit, lead, coach, and retain a high-performing team of product managers responsible for enterprise AI products.
• Set clear standards for product thinking, discovery, written requirements, prioritization, decision quality, and product reviews.
• Develop the team's ability to work credibly with data science, ML engineering, software engineering, design, and business stakeholders.
• Create clear accountability, career development, and operating mechanisms that enable the team to perform consistently at a high level.

Agent & Assistant Product Strategy

• Define the vision, portfolio strategy, and roadmap for enterprise agents and assistants, making disciplined choices about where ADI should invest.
• Establish a clear product vision and multi-horizon roadmap for a portfolio of enterprise AI agents and assistants.
• Decide which use cases to pursue, sequence later, defer, or decline based on user value, business impact, technical feasibility, risk, and cost.
• Distinguish between capabilities that can be delivered reliably today and those that depend on emerging technical maturity.
• Maintain a coherent portfolio view that balances near-term delivery with longer-term platform and capability development.

Business Partnership & Product Definition

• Build active partnerships with business stakeholders and convert real workflows and pain points into precise product direction.
• Lead discovery with business stakeholders and users to understand workflows, decisions, pain points, constraints, and unmet needs.
• Translate insights into crisp product requirements, success criteria, scope, user journeys, and acceptance conditions.
• Ensure science and engineering teams can execute without repeated reinterpretation by resolving ambiguity early and documenting decisions clearly.
• Challenge requests constructively, separating underlying user problems from proposed solutions and avoiding low-value or poorly defined use cases.

Impact Measurement & Portfolio Decisions

• Define how product success is measured, reviewed, and used to redirect investment across the Enterprise AI portfolio.
• Establish a balanced product scorecard covering adoption, task completion, user trust and satisfaction, grounding, relevance, and other quality measures.
• Connect product performance to business outcomes such as time saved, productivity improvement, cost avoided, risk reduced, or service quality