Saas Product Management Jobs

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Senior AI Product Manager

Sherwin-Williams Cleveland, OH

Cleveland, OH

Today

$109k - $140k/yr Full time A/B Testing Artificial Intelligence Azure

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Job Description

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

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