Sr Lead Product Manager Product Insights + Enablement
About The Position
The Product Insights + Enablement (PIE) team works within Product to optimize processes, improve delivery predictability, provide data-driven business insights, drive organizational transformation, and enable Product Managers to work consistently and effectively. In this role, Product Managers are the customers, and the tools, training, and processes that enable them are the products. The position builds the operating backbone that helps Product Managers work smarter, move faster, and deliver higher-quality outcomes. The role designs and improves product-management tools, workflows, automations, integrations, templates, and reporting; oversees their implementation and adoption; and develops measures of their effectiveness and business impact. It also designs and governs AI agents that support Product Managers, assesses and improves AI output quality, and establishes feedback mechanisms. The position assesses Product Manager capabilities and develops upskilling plans, learning paths, training, and practical enablement materials. It leads change management and adoption for new tools, AI agents, automations, operating-model changes, and working practices, using communications, training, stakeholder engagement, and continuous-improvement feedback loops. The role works independently in a distributed environment and builds relationships across Product, Engineering, IT, Security, Operations, STEPN Ops, and Enablement teams.
Requirements
- At least 8 years of experience in Product Management, Product Operations, Product Enablement, or a related enterprise transformation role.
- Ability to operate at a Lead Product Manager level by defining strategy, aligning stakeholders, influencing senior leaders, and driving complex cross-functional initiatives.
- Experience designing, implementing, or optimizing product-management tools, workflows, automations, integrations, reporting, or portfolio-management processes.
- Hands-on experience with AI-enabled tools, agents, prompt frameworks, testing rubrics, output-quality review, and responsible use of AI in enterprise workflows.
- Strong understanding of Product Management practices, including roadmaps, prioritization, idea intake, requirements development, PRD quality, API-first thinking, and systems thinking.
- Ability to assess capability gaps, build upskilling plans, create enablement materials, and support adoption of new ways of working.
- Strong change-management, communication, facilitation, and executive-storytelling skills, including translating complex product, process, and technical concepts into clear guidance.
- Ability to work independently in a distributed environment and build trusted relationships across Product, Engineering, IT, Security, Operations, STEPN Ops, and Enablement teams.
Responsibilities
- Define and design PIE tools, automations, agentic solutions, integrations, templates, workflows, and reporting capabilities.
- Lead implementation, rollout, administration, optimization, and continuous improvement of product-management processes, tools, and communication strategies.
- Partner with cross-functional teams to configure platforms, design workflows, manage integrations, establish access controls, and ensure tools meet organizational needs.
- Standardize Product Management workflows for roadmaps, prioritization, idea intake, requirements development, planning, and portfolio visibility.
- Define metrics and KPIs for tool adoption, usability, effectiveness, quality improvement, and business impact.
- Design, build, refine, and maintain AI agents that support Product Managers across the Product Management Operating Model.
- Evaluate AI agent solutions developed across the company and adapt them for Product Manager use cases.
- Define agent personas, system prompts, prompt frameworks, behavioral guardrails, use-case coverage, budget considerations, and quality standards.
- Build an orchestration model that connects multiple AI solutions into a coherent, trusted Product Manager experience.
- Evaluate AI output through structured testing, prompt iteration, rubrics, user feedback, and quality review; establish feedback loops for reporting agent errors and improvement opportunities.
- Assess Product Manager capabilities to identify skill gaps, adoption barriers, and opportunities to improve quality, consistency, and effectiveness.
- Define upskilling plans for areas including API-first design, systems thinking, PRD development, product discovery, requirements quality, prioritization, and roadmap management.
- Partner with STEPN training leads, PIE, and subject-matter experts to develop learning paths, enablement materials, training packages, and adoption experiences.
- Identify where AI tools, automations, job aids, templates, or agents can accelerate skill development and reduce friction in Product Manager workflows.
- Translate Product Management practices, process expectations, tooling guidance, and AI-enabled ways of working into clear, actionable content.
- Lead adoption strategies for new tools, AI agents, automations, operating-model changes, and Product Management ways of working.
- Develop and execute change-management plans, stakeholder impact assessments, communications, risk mitigation plans, and adoption strategies.
- Create communications, training materials, quick-reference guides, onboarding content, best-practice guidance, and support materials explaining changes.
- Build feedback mechanisms and voice-of-user loops to understand adoption progress, pain points, and opportunities for continuous improvement.
Benefits
- Comprehensive package featuring Health, Life, and Voluntary Lifestyle benefits and other perks supporting physical, mental, emotional, and financial wellbeing.
- Bonus structure may include short-term incentives, long-term incentives, and/or sales compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
