Product Manager

Job Responsibilities:
Product Excellence & Coaching
Coach product teams toward outcome-driven product management
Partner with Product Managers, Product Owners, Engineering, Design, and business stakeholders — internally and across our client engagements — to define clear product outcomes, customer value measures, and success metrics that shift the focus from output to impact.
Strengthen product discovery and validation
Coach teams in customer-centric product practices including hypothesis development, experimentation, user research and feedback, opportunity assessment, and evidence-based decision making.
Improve product operating model maturity
Help teams and clients adopt effective product operating model practices that align strategy, execution, and measurement — connecting product thinking with the Agile delivery practices that enable it, and promoting accountability for business outcomes.
Facilitate strategic prioritization
Guide leadership teams through product planning, roadmap development, investment trade-offs, dependency management, and prioritization discussions grounded in customer and business value.
Use data to improve product decisions
Leverage customer, operational, financial, and product performance metrics to identify opportunities, validate investments, and continuously improve product outcomes.
Develop product management capabilities
Coach Product Managers and Product Owners in product strategy, stakeholder management, roadmap management, product discovery, value measurement, and outcome-based planning — raising the product craft across teams and clients.
Contribute to product standards and best practices
Identify successful patterns and develop practical playbooks, frameworks, and guidance that strengthen product management capability across the organization and our client base.
AI-Powered Product Enablement
Leverage AI to enhance product practices
Help product teams apply AI capabilities across product discovery, customer insight generation, roadmap planning, backlog refinement, stakeholder communication, and performance analysis.
Design AI-assisted product workflows
Create practical AI-enabled solutions that support product teams in activities such as customer feedback synthesis, requirements generation, roadmap creation, prioritization analysis, executive reporting, and product reviews.
Prototype lightweight product-focused agents
Develop targeted AI agents that improve product team productivity and decision quality, including portfolio reporting, market analysis, stakeholder updates, dependency tracking, and product documentation.
Enable responsible AI adoption
Ensure AI-enabled solutions align with enterprise governance, security, compliance, and risk-management standards while maintaining transparency and accountability.
Establish AI quality and evaluation practices
Define lightweight validation approaches to ensure AI-generated outputs are accurate, traceable, and fit for business decision-making.
Upskill product organizations
Coach product teams, leaders, and stakeholders — including client teams — on effective AI utilization, prompt engineering, responsible use, and human-in-the-loop decision-making practices.