AI Digital Product Manager

Sherwin-Williams • Cleveland, OH

18h • $119,013 - $154,168 • Onsite

About The Position

At Sherwin-Williams, the AI Digital Product Manager leads the strategy, development, launch, and continuous improvement of AI-powered digital products that help customers shop and connect with the company’s brands. Working within the Digital Products & Experience Design organization, the role identifies high-value customer needs and partners with cross-functional teams to turn ideas into practical, scalable solutions. The manager owns the AI digital product roadmap and leads discovery, proofs of concept, and prototypes for web and mobile experiences across multiple brands. The role spans consumer websites, mobile applications, and B2B digital platforms, applying AI where it delivers measurable value. It aligns stakeholders, guides product decisions, measures results, conducts competitive and comparative audits, and develops business cases for the company’s stage-gate funding process.

The position oversees the product lifecycle from ideation and market research through concept validation, launch, optimization, and, where applicable, sunset. It works closely with UX, engineering, data science, analytics, business, technology, marketing, product owners, external vendors, and senior stakeholders. The manager defines requirements and success measures, oversees data acquisition and quality needs for AI models, and works with data scientists and ML engineers on model requirements, approaches, governance, and monitoring. Success is assessed through both conventional digital product KPIs and AI-specific metrics.

This is a full-time, in-office position at Sherwin-Williams Headquarters in Cleveland, Ohio; it is not remote or hybrid. Travel is 10–20%. The job includes contact with employees and access to confidential or proprietary information and other valuable items. The company states that a criminal-history review is necessary to protect its business, operations, reputation, staff, employees, and business relationships.

Requirements

• Bachelor’s degree in business, marketing, computer science, information technology, or a related field, or equivalent experience. The posting states that candidates must have five years of work experience for every one year of college education required.
• 7–10 years of experience in digital product management, with demonstrated success defining and launching digital products or features; AI or data-driven product experience is ideally included.
• Demonstrated ability to develop product strategy, conduct competitive analysis, write business cases, and navigate a stage-gate or similar funding and approval process.
• Experience leading cross-functional teams, including UX/design, engineering, and data science, to deliver products from concept through launch.
• Understanding of AI and machine learning concepts sufficient to evaluate use cases, collaborate with data scientists, and make informed product decisions.
• Ability to prioritize across a complex digital product portfolio based on customer needs, business goals, and technical feasibility.
• Exceptional communication and presentation skills, including ability to align and influence executive-level stakeholders.
• High level of integrity and professional judgment.
• Strategic thinking and ability to balance long-term vision with near-term delivery.
• Strong written and verbal communication skills and ability to present and influence across organizational levels.
• Self-starter with a desire to learn, innovate, and contribute to a dynamic digital organization.
• Flexibility and adaptability in a fast-paced, evolving environment.
• Strong organizational skills and ability to manage multiple priorities and meet deadlines without compromising quality.
• Collaborative, team-oriented approach and ability to build cross-functional relationships.
• Curiosity and passion for digital innovation, customer experience, and responsible use of artificial intelligence.

Nice To Haves

• MBA or advanced degree focused on digital strategy, technology, product management, or data science.
• Experience with AI-powered digital product features such as recommendation engines, personalization, search, computer vision, or conversational AI/chatbots.
• Experience across B2C and B2B digital products in retail, e-commerce, or home improvement.
• Familiarity with agile/scrum delivery methodologies and experience partnering with Digital product owners and delivery teams.
• Experience with digital product discovery frameworks, design thinking, rapid prototyping, or proof-of-concept methodologies.
• Working knowledge of digital analytics platforms such as Adobe Analytics or Google Analytics, and AI/ML experimentation frameworks such as A/B testing and feature flags.
• Experience managing mobile application products for iOS and Android.
• Proficiency with product management and collaboration tools such as Jira, Confluence, Figma, or similar platforms.
• Familiarity with generative AI tools and their application in customer-facing digital products.

Responsibilities

• Define and own the AI digital product strategy and roadmap, identifying high-value use cases where AI and machine learning provide competitive advantage and support customer-first, human-centered experiences.
• Develop and maintain a multi-horizon roadmap that balances near-term opportunities with the long-term AI digital product vision.
• Conduct competitive and comparative audits to benchmark market leaders, identify innovation opportunities, and inform strategic direction.
• Develop and present business cases, including opportunity sizing, ROI analysis, and investment rationale, to support stage-gate funding and approval.
• Champion human-centered design and ensure solutions address genuine customer needs; represent digital product strategy to senior business stakeholders and executive leadership.
• Oversee the product lifecycle from ideation, market research, and concept validation through launch, optimization, and, where applicable, sunset, applying agile methods and operational excellence.
• Lead discovery, proof-of-concept, and prototyping initiatives for AI-powered features across web and mobile experiences and multiple brands.
• Define product requirements, user stories, and acceptance criteria with UX, engineering, and data science teams.
• Partner with Digital product owners to translate product definitions into actionable, well-groomed backlogs for agile development teams.
• Facilitate design sprints and rapid prototyping to validate hypotheses and reduce risk before full-scale investment.
• Manage product releases end-to-end and coordinate technology, marketing, and business teams for go-to-market execution.
• Define success metrics and measurement frameworks for product initiatives, tracking business and experience outcomes.
• Collaborate with data scientists and analytics teams to use behavioral data, product analytics, and AI model outputs for continuous improvement.
• Oversee data acquisition, quality, and labeling requirements to support reliable, representative AI model training data.
• Partner with analytics platforms and BI teams to build dashboards and reporting that provide actionable stakeholder insights.
• Use data to prioritize features and investments according to customer needs, business goals, and technical feasibility.
• Align business stakeholders, UX/design, data science, and technology teams for AI digital product initiatives.
• Present recommendations to senior and executive stakeholders to drive alignment, buy-in, and product funding decisions.
• Manage external vendor, agency, and technology-provider relationships to support delivery and quality.
• Communicate product status, risks, and decisions proactively across the organization; facilitate workshops, sprint reviews, and roadmap planning.
• Partner with data science teams to translate customer and business needs into AI model requirements and success criteria.
• Evaluate AI/ML approaches and tools, including generative AI, and recommend whether to build, buy, or partner.
• Establish model governance and monitoring processes to keep AI outputs accurate, fair, and aligned with brand standards.
• Identify appropriate applications of AI across digital touchpoints, using it where it meaningfully and measurably improves customer experience.
• Stay current on AI/ML advancements, tools, and applications relevant to retail, e-commerce, and customer experience.
• Track traditional product KPIs such as engagement, conversion, retention, CSAT/NPS, and revenue impact alongside AI-specific measures such as accuracy, precision, recall, latency, and bias indicators.
• Establish reporting cadences and executive dashboards communicating business results and AI model health.
• Conduct post-launch reviews and retrospectives, feeding learnings into continuous improvement and grounding product improvements in measurable business and customer value.

Benefits

• Sherwin-Williams describes a range of benefits related to retirement, health care, well-being, and commuting; candidates are directed to the company benefits site for details on offerings for which they may be eligible.
• The company describes support for employee health and well-being, career learning and development, and connection through an inclusive team and community commitment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior