Sr. Product Manager, Workforce Edge

Strategic Education, Inc is a leader in education benefits, and they are seeking a Sr. Product Manager for Workforce Edge to define and execute the long-term vision for the career mobility ecosystem. This role involves overseeing product strategy, driving AI integration, and mentoring product managers to elevate product thinking across the organization.

Responsibilities:

• Define and lead the multi-year product strategy for Workforce Edge’s core platform, ensuring alignment with enterprise goals and executive priorities
• Oversee the design and delivery of scalable, governed data ingestion and integration pipelines that centralize data, establishing schemas, and security models that make the platform data and AI-ready
• Partner with Engineering and AI teams to implement a semantic data layer and metadata governance framework that supports predictive analytics, personalization, and high-fidelity user experiences
• Own the technical product strategy for platform logic and the AI pipeline, from data ingestion through feedback loops, ensuring responsible, secure, and performant systems
• Lead initiatives to embed machine learning, natural language processing, and generative AI models into core Workforce Edge applications, driving automation and intelligent user experiences
• Define how AI and platform logic informs skills taxonomies, career pathways, and workforce insights, enabling employers and learners to connect education to measurable career outcomes
• Guide the organization’s product vision and roadmap, collaborating with engineering, data science, and design leaders to align technology initiatives across multiple product areas
• Serve as a strategic advisor to executive leadership, translating technical opportunities into business value and influencing portfolio-level decisions
• Mentor and coach other Product Managers, elevating product strategy, technical fluency, and customer-centric thinking across the team
• Represent Workforce Edge as an industry thought leader, contributing to the company’s credibility in data, AI for workforce development, and data-driven learning experiences

Requirements:

• Deep expertise in large-scale platform systems, AI-driven product strategy, and data architecture
• Experience leading the productization of advanced automation, machine learning, NLP, and/or generative AI in enterprise SaaS environments
• Strong understanding of schema management, metadata governance, and model lifecycle management
• Proven ability to bridge technical depth and executive influence, communicating complex technical concepts with clarity and confidence
• Demonstrated success leading cross-functional technical initiatives that span engineering, product, and data science
• Expertise in skills taxonomies, upskilling analytics, and AI applications in the future of work
• Skilled in defining governance frameworks and ensuring responsible, compliant use of data and models
• Exceptional leadership and mentoring skills; able to develop product talent and foster a culture of innovation, accountability, and technical excellence
• Thought leadership in platform and AI product strategy, personalization, and user experience, with a focus on driving measurable impact for customers
• 8+ years of product management experience in SaaS, data platform, or AI-driven product environments
• Proven track record leading enterprise-scale platform, data, and AI initiatives from concept through implementation
• Experience with cloud ecosystems (GCP, AWS, or Azure), modern product management and AI tools (Aha!, Jira, Claude), and product best practices
• Demonstrated success collaborating with executive stakeholders and technical leaders to deliver transformative business outcomes
• Bachelor's degree in Computer Science, Engineering, Data Science or a related field (Master's preferred)
• Must be able to travel occasionally should a business need arise
• Ability to work onsite in Corporate or Campus location (in a typical office environment) may be required based on role
• If offsite or hybrid role, must have access to work in setting which enables meeting all requirements of the role (including privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location
• This role may require lifting, however reasonable accommodations will be provided in accordance with our ADA policies
• Must be able to meet critical thinking and problem solving aspects aligned to job duties, as well as effectively communicating with co-workers
• Must be able to work more than 40 hours per week when business needs warrant
• Able to access information using a computer
• Prior experience in education technology, workforce analytics, or HR technology
• Certified Scrum Master (CSM) or Certified Scrum Product Owner (CSPO)