Senior AI Product Manager

Own end-to-end delivery of AI-enabled products at Sherwin-Williams, from initial concept through proof, pilot, scaled deployment, and continuous improvement.

Responsibilities

• Develop and execute product strategy, including roadmaps, priorities, release plans, budgeting, value case, positioning, and messaging
• Define product requirements with business partners and coordinate execution across cross-functional teams (engineering, design, sales, marketing, and more)
• Run user and market research to surface end-user needs, market trends, competitive risks, and emerging AI/ML capabilities
• Define, track, and report business value and adoption metrics and model performance metrics, including:
  • Value realized, sustained adoption, time or cost saved
  • Model quality
  • Cost per transaction or per use
  • Measurement against baselines and pre-agreed success thresholds to inform ship, iterate, or stop decisions
• Shape and prioritize the product backlog using customer needs, business value vs. effort, and ongoing experimentation after launch
• Lead the AI product development lifecycle from concept through proof of concept, MVP/pilot, and scaled deployment with on-time, on-budget delivery and quality plus Responsible AI standards
• Maintain knowledge documentation supporting the product
• Provide product updates to stakeholders and executive leadership, including translating technical concepts for non-technical audiences
• Build and maintain working relationships with internal and external stakeholders
• Analyze product performance, model performance, adoption, and customer feedback to identify improvement opportunities and drive continuous innovation, including post-launch experimentation
• Partner with data science and ML engineering to:
  • Frame business problems as AI/ML use cases
  • Set baselines, hypotheses, evaluation criteria, and acceptance thresholds
  • Design experimentation (A/B or test-versus-control, plus causal inference when randomization is not possible)
  • Instrument measurement for business value and evaluate trade-offs across accuracy, explainability, cost, and latency
• Partner with technology to industrialize AI-enabled products on enterprise platforms (e.g., Databricks, Microsoft Azure), including MLOps, monitoring, drift detection, retraining triggers, post-launch evaluation, incident response, and inference/token/compute cost management, plus transition to run operations
• Ensure Responsible AI compliance with AI COE standards, including:
  • Risk tiering
  • Evaluation and red-teaming before scale
  • Human-in-the-loop design
  • Go/no-go recommendation with Legal, Privacy, and Cybersecurity and associated risk mitigation
• Define and enforce data requirements for AI-enabled products, covering data quality, lineage, and semantic layer standards for AI models, agents, and data products
• Define agentic AI product requirements, including autonomy levels, tool use, guardrails, and agent-specific evaluation for end-user deployments
• Drive end-user adoption and change management with business leaders, including training, process redesign, and feedback loops

Requirements

• Bachelor’s degree in Engineering, Computer Science, Data Science, Statistics, or Business Administration, or 7+ years of technology product management experience in lieu of a degree
• 4+ years technology product management experience, including launching and managing successful products at scale
• 2+ years managing production-grade AI/ML, data, or analytics products
• In-depth knowledge of product development and launch processes, including agile methodologies
• In-depth knowledge of product innovation methodologies and leading practices
• Ability to conduct market research and analyze customer needs, market trends, and competitive landscape
• Experience delivering AI/ML-enabled software products from proof of concept through scaled production deployment
• Knowledge of UX design principles and customer-centric design thinking
• Knowledge of business processes, including IT, vendor management, software development lifecycle, and MLOps lifecycle
• Excellent communication skills, including ability to translate complex technical solutions into business language
• Working knowledge of AI/ML concepts: predictive modeling, forecasting and optimization, generative AI, large language models, and agentic AI to guide technical trade-offs
• Knowledge of Responsible AI principles: bias, explainability, privacy, security, and human-in-the-loop design
• Proven ability to lead cross-functional pods without direct authority and partner with Enterprise Technology on platform and architecture decisions
• Experience defining model evaluation and experimentation approaches (A/B or test-versus-control) plus business value measurement with baselines, hypotheses, and pre-agreed success thresholds
• Understanding of data management and data product principles, including data quality, governance, and semantic layers
• Must be at least 18 years of age
• Must be legally authorized to work in the United States without sponsorship now or in the future for employment visa status

Travel Requirements

• 5% travel

Preferred Qualifications

• Agile product management certification (e.g., PMI-ACP, SAFe POPM, PMC, CSPO)
• Master’s degree in a quantitative or technical field, or MBA
• AI/ML or data platform certification (e.g., Databricks, Microsoft Azure AI)

Technologies

• Databricks
• Microsoft Azure
• Jira
• Confluence
• Azure DevOps
• Power BI
• SQL
• A/B testing
• MLOps
• Microsoft 365
• Power Platform
• Azure OpenAI
• Microsoft Copilot Studio
• GitHub Copilot
• PMI-ACP
• SAFe POPM
• PMC
• CSPO

Work Arrangement and Additional Information

• Onsite role located at Cleveland Headquarters (not hybrid/remote)
• Position is not eligible for sponsorship for work authorization now or in the future, including conversion to H1-B visa
• Job duties include contact with other employees and access to confidential and proprietary information and/or other items of value; access may be supervised or unsupervised
• Company requires a review of criminal history to protect business operations, reputation, and safety of staff and business relationships

Location and Compensation

• Location: Cleveland, OH (onsite)
• Salary: USD 108,531 - 140,086 per year