Strategic Education, Inc · 4 days ago
Senior Product Manager, Workforce Edge
United States
Full-time
Onsite
Senior Level, Lead/Staff
$130K/yr - $196K/yr
8+ years expStrategic Education, Inc is seeking a Senior Product Manager for Workforce Edge, responsible for defining and executing the long-term vision for the data and AI ecosystem. This role involves driving product strategy, overseeing data architecture, and mentoring other product managers to enhance the customer and learner experience through AI innovation.
Education
Responsibilities
Define and lead the multi-year product strategy for Workforce Edge’s data and AI platform, ensuring alignment with enterprise goals and executive priorities
Oversee the design and delivery of scalable, governed data ingestion pipelines that centralize structured and unstructured data, establishing schemas, lineage, and security models that make data AI-ready
Partner with Data Engineering and AI teams to implement a semantic data layer and metadata governance framework that supports predictive analytics, personalization, and automation
Own the technical product strategy for the AI pipeline, from data ingestion and model training through inference and feedback loops, ensuring responsible, secure, and performant AI 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 informs skills taxonomies, career pathways, and workforce insights, enabling employers and learners to connect education to measurable career outcomes
Guide the organization’s AI product vision and roadmap, collaborating with engineering, data science, and design leaders to align AI 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 AI for workforce development, ethical AI, and data-driven learning experiences
Qualification
Required
Deep expertise in data architecture, AI-driven product strategy, and large-scale platform systems
Experience leading the productization of machine learning, NLP, and generative AI in enterprise SaaS environments
Strong understanding of ETL/ELT pipelines, schema management, data lineage, 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 AI initiatives that span data engineering, product, and data science
Expertise in skills taxonomies, upskilling analytics, and AI applications in the future of work
Skilled in defining AI 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 AI product strategy, personalization, and data ethics, 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 data and AI initiatives from concept through implementation
Experience with cloud data ecosystems (GCP, AWS, or Azure), modern data and AI tools (Databricks, Snowflake, Airflow, TensorFlow, PyTorch), and MLOps 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
Preferred
Prior experience in education technology, workforce analytics, or HR technology
Master's degree in Computer Science, Engineering, Data Science or a related field
Generative AI Solution Development
Certified Scrum Master (CSM) or Certified Scrum Product Owner (CSPO)
Benefits
Medical
Dental
Vision
Life and disability plans
Well-being incentives
Parental leave
Paid time off
Certain paid holidays
Tax saving accounts (FSA, HSA)
401(k) retirement benefit
Employee Stock Purchase Plan
Tuition assistance
Entertainment and retail discounts
Overtime pay
Company
Strategic Education, Inc
Strategic Education Inc. (NASDAQ: STRA) is dedicated to enabling economic mobility with education.
Founded in 2018Herndon, Virginia, USA
5001-10000 employees
H1B Sponsorship
Strategic Education, Inc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (15)
2024 (15)
2023 (12)
2022 (8)
2021 (10)
2020 (5)
Funding
Current Stage
Late StageLeadership Team
Daniel McCarthy
Chief Technology Officer, ETS
Recent News
2025-11-07
2025-10-02
Company data provided by crunchbase