CPO

About the Role

We are looking for a seasoned product leader to drive product strategy and execution across our business units. This role requires more than strong product instincts — you will be expected to lead organizational transformation, embed AI-driven innovation into the product roadmap, and build a high-performing PM organization capable of scaling with the business.

Key Responsibilities

Product Strategy & Business Alignment

• Serve as the primary interface between business units and the product organization, translating BU priorities into a clear, defensible development roadmap.
• Facilitate structured prioritization discussions with stakeholders across functions, ensuring resource allocation reflects strategic business value rather than internal politics.
• Define and maintain a product portfolio view that balances short-term delivery with long-term capability building.

Team Leadership & People Management

• Directly manage a team of 25+ product managers, owning their performance management cycles, goal-setting, and career development.
• Establish KPI frameworks that connect individual PM contributions to measurable product and business outcomes.
• Build a culture of accountability, clarity, and continuous learning within the PM organization.
• Identify skill gaps and develop targeted hiring, coaching, and rotation strategies to elevate the team's overall capability.

Resource Allocation & Capacity Planning

• Strategically deploy PM resources across business groups in response to shifting priorities and product lifecycle stages.
• Develop capacity models that enable proactive planning rather than reactive firefighting.
• Create transparent processes for trade-off decisions when demand exceeds capacity.

AI & Digital Transformation

• Lead the integration of AI into existing and new product lines — not as a feature addition, but as a structural shift in how products create and deliver value.
• Develop a point of view on where AI creates genuine competitive differentiation in the industry, and translate that perspective into actionable product bets.
• Partner with engineering, data, and business leadership to define the organizational capabilities needed to sustain AI-driven transformation over time.
• Stay ahead of industry trends across adjacent sectors, bringing external signals into internal product conversations.

What We're Looking For

Experience & Background

• 10+ years of product management experience, with at least 3–5 years in a senior leadership role overseeing cross-functional PM teams.
• Demonstrated track record of managing and developing teams of 25 or more direct reports, with full ownership of performance evaluation and KPI design.
• Experience operating across multiple industries or product domains, with a proven ability to onboard quickly and develop product instincts in unfamiliar contexts.

Product Leadership

• Deep expertise in product lifecycle management, from discovery through scaling and sunset.
• Strong command of prioritization frameworks and stakeholder management in complex, matrixed organizations.
• Ability to make and defend resource trade-offs under ambiguity, with both rigor and speed.

AI & Industry Fluency

• Hands-on experience leading or contributing to AI product integration or digital transformation initiatives.
• Ability to distinguish genuine AI-driven value creation from trend-chasing — and communicate that distinction clearly to executives and engineering teams alike.
• Strong industry trend awareness; comfortable synthesizing signals from adjacent markets and translating them into product strategy.

Leadership & Communication

• Operates with executive presence — able to influence senior stakeholders without authority.
• Builds trust across engineering, design, business, and operations through clarity, consistency, and follow-through.
• Comfortable holding teams accountable while maintaining a psychologically safe environment for learning and iteration.

Preferred Qualifications

• Experience in platform or ecosystem product management across multiple business units.
• Prior exposure to enterprise-level digital transformation programs involving AI, data infrastructure, or process automation.
• Background spanning more than one industry vertical (e.g., manufacturing + SaaS, fintech + enterprise software).