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.

Required Qualifications, Capabilities & Skills

• 8+ years of experience in Product Management, Product Coaching, Product Operations, Product Transformation, or related leadership roles in complex enterprise environments, operating at a level consistent with a Vice President appointment.

• Demonstrated experience developing product management capabilities across multiple teams, products, or portfolios — ideally in both internal and client-facing settings.

• Strong understanding of modern product management disciplines, including product strategy, product discovery, experimentation, value measurement, roadmapping, and customer-centric delivery.

• Experience implementing or operating within a Product Operating Model, and a working understanding of the Agile ways of working that enable effective product delivery.

• Exceptional stakeholder management, facilitation, executive communication, and influencing skills, with the credibility to advise senior client and internal leaders.

• Proven ability to use customer, business, operational, and product metrics to guide decisions and improve outcomes.

• Foundational GenAI fluency, including prompt engineering and practical application of AI capabilities to product management and business processes.

• Comfortable working with engineering, design, data, and business teams to drive product outcomes.

Preferred Skills and Qualifications

• Experience coaching Product Managers, Product Owners, Product Directors, or Product Leadership teams, and advising clients on product transformation.

• Formal certifications or training in Product Management, Product Discovery, Design Thinking, Lean Product Development, or related disciplines (Agile certifications welcome as complementary).

• Experience building AI-powered proof of concepts using low-code/no-code tools, lightweight scripting, or enterprise AI platforms.

• Familiarity with product analytics, experimentation frameworks, value-stream measurement, and outcome-based performance tracking.

• Understanding of enterprise AI governance, model evaluation, guardrails, traceability, and secure AI adoption practices.