Director of Product Management, Enterprise AI

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 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 improved. Run a regular review cadence that makes progress, underperformance, risk, and learning visible to product teams and executives. Use performance evidence and user feedback to scale successful products, adjust roadmaps, improve weak experiences, or stop investments that are not delivering value.

Cross-Functional Product Delivery

Create alignment across the functions required to design, build, launch, and improve enterprise AI products. Drive shared priorities and decisions across data science, engineering, design, content, platform, data, security, legal, and go-to-market or enablement teams. Lead product planning from discovery through requirements, build, evaluation, release readiness, launch, and iteration. Clarify ownership, dependencies, decision rights, and trade-offs so teams can move quickly without compromising quality or responsible AI expectations. Communicate roadmap choices, delivery progress, constraints, and risks clearly to executives and other stakeholders.

Launch, Adoption & Change Management

Ensure that shipped products are understood, adopted, and incorporated into the workflows they are intended to improve. Own launch planning and coordinate readiness across product, technology, content, communications, enablement, support, and business teams. Define target users, rollout sequencing, adoption plans, feedback channels, and support requirements for each launch. Partner with business leaders and change teams to embed agents and assistants into real workflows rather than treating release as the end point. Use adoption and usage evidence to identify friction, refine the experience, strengthen enablement, and improve product value over time.

Experience

12+ years of experience in product management, including 6+ as a people leader. Significant experience leading product management teams responsible for complex software, AI, data, platform, or enterprise technology products. Demonstrated success defining product vision, portfolio strategy, roadmaps, and investment priorities in technically complex environments. Strong product discovery skills, with experience converting business workflows and user pain points into clear requirements, success criteria, and executable scope. Experience partnering closely with data science, machine learning, and engineering teams to deliver products from concept through production and continuous improvement. Working knowledge of generative AI, large language models, retrieval-augmented generation, agents, assistants, evaluation, grounding, and the practical limits of current AI capabilities. Proven ability to create prioritization and governance mechanisms that balance user value, business impact, feasibility, cost, risk, quality, and responsible AI considerations. Experience defining and reviewing product metrics across adoption, completion, trust, satisfaction, quality, and measurable business outcomes. Strong written communication and product documentation skills, with the ability to create clarity for technical and non-technical audiences. Experience leading launches, adoption programs, and organizational change for enterprise products or new ways of working. Executive-level communication and influencing skills, with the judgement to explain trade-offs, challenge assumptions, and align senior stakeholders. A leadership style that combines strategic direction, customer and user focus, rigorous decision-making, talent development, and strong cross-functional partnership. Bachelor's degree in business, computer science, engineering, design, or a related field is required; an advanced degree is preferred, or equivalent practical experience.

What does success look like? A high-performing product management team is established, with consistently strong product thinking, written requirements, prioritization, and partnership with science and engineering. ADI has a clear, credible, and actively managed roadmap for enterprise agents and assistants, with explicit decisions on which use cases to pursue, sequence, defer, or decline. Business workflows and user problems are translated into clear, stable product requirements and success criteria that delivery teams can execute without repeated reinterpretation. Product performance is reviewed through a trusted scorecard that connects adoption, task completion, trust, satisfaction, grounding, and relevance to measurable business outcomes. Launch and change management practices lead to sustained adoption, and performance evidence is used to redirect investment toward the products and capabilities creating the greatest value.

Legal & Eligibility

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: Experienced. Required Travel: Yes, 10% of the time. Shift Type: 1st Shift/Days.

The expected wage range for a new hire into this position is $268,640 to $369,380. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors. This position qualifies for a discretionary performance-based bonus which is based on personal and company factors. This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

Company Culture

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 and on LinkedIn and X. Come join ADI – a place where Innovation meets Impact. For more than 55 years, Analog Devices has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare. ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future.