Define and deliver a platform strategy that closes critical capability gaps and unlocks scale for our subscription-based future.
Prioritize initiatives that balance immediate value for value stream teams with long-term strategic alignment, including investments in AI capabilities where they accelerate outcomes.
Partner with engineering, design, and architecture to shape reusable, scalable services that incorporate AI where it drives efficiency, personalization, or insight.
Ensure platform investments are grounded in customer and business needs, not just technical interest.
Act as a champion for the product operating model principles — outcome-driven planning, empowered teams, and continuous discovery in all platform work.
Collaborate deeply with value stream teams to understand their needs, remove blockers, and ensure platform services are adopted effectively.
Influence stakeholders across product, engineering, design, operations, and sales to gain alignment on priorities and timelines.
Anchor all decisions in the ultimate end-user the educator.
Translate feedback from value stream teams into actionable platform improvements, including opportunities for AI-driven automation or personalization.
Partner with internal teams to connect platform capabilities directly to customer outcomes and business goals.
Define and track success metrics for platform adoption, reliability, and business impact.
Use qualitative and quantitative data to guide iteration and identify new opportunities for leverage.
Drive adoption of platform services through clear communication, documentation, and internal enablement.
Requirements
5+ years in product management, with significant time spent on platform or infrastructure teams.
Proven success in the product operating model, with a clear understanding of platform vs. value stream responsibilities.
Demonstrated ability to support and influence cross-functional teams without direct authority.
Strong track record of prioritizing effectively, managing stakeholder expectations, and communicating the “why” behind decisions.
Comfort navigating complex technical concepts — including AI and machine learning — and translating them into business value.
Passion for improving educator and learner outcomes, with an eye toward delivering scalable, sustainable, AI-powered solutions.
Excellent communication skills across technical and non-technical audiences.