Lead solution design and architecture discussions, partnering with technical teams to develop scalable, high‑impact enterprise and AI capabilities.
Align and triage with engineering development, testing, and deployment.
Own prioritization and scope alignment for delivery execution, balancing stakeholder needs, business value, and technical feasibility for optimal outcomes.
Define and track key product success metrics, using data and feedback to refine strategy and improve performance across platforms.
Build trusted relationships across enterprise, business, and customer‑facing teams to ensure technology investments translate into measurable impact.
Collaborate with engineering, program management, and leadership teams to define product plans, manage resources, and coordinate successful execution.
Build and disseminate domain expertise to manage dependencies and drive impactful data‑driven solutions.
May have direct reports, and as such hires, trains, develops, and motivates a team of employees. Works with employees to establish annual goals and objectives. Conducts timely performance evaluations. Monitors and controls team expenses.
What You Bring
5+ years of experience in highly technical product management or related roles (e.g., software engineering, solutions architecture, etc.).
Strong technical acumen, enabling effective partnership with engineering and data science teams and clear communication of complex concepts to non‑technical audiences.
Strong understanding of RESTful APIs, microservices, databases, and application infrastructure, with ability to perform initial log reviews and triage issues (coding not required).
Understanding and experience with AI and data infrastructure, including data pipelines, model training workflows, and deployment tools.
Proven ability to build trusted relationships and influence across all organizational levels and diverse, cross‑functional teams.
Exceptional verbal, written, and interpersonal communication skills.
Skilled in defining, tracking, and interpreting key performance metrics for AI models and products (e.g., accuracy, precision, ROI).
Demonstrated proactive, metrics‑driven product management leadership that balances business and technical success.
Committed to ethical and responsible AI practices, including bias mitigation, data privacy, and transparency.
Preferred
2+ years of software engineering experience, preferably in AI space
3+ years of people management or team leadership
Experience with WCAG-compliant design and testing.
Familiarity with UX wire framing and prototyping tools.
Background in EdTech and knowledge of industry-specific challenges.
Why work for us?
The work you do at McGraw Hill will be work that matters. We are collectively building experiences that will help shape the future of education. Play your part and experience a sense of fulfilment that will inspire you to even greater heights.
The pay range for this position is between $115,000 - $160,000 annually. However, base pay offered may vary depending on job-related knowledge, skills, experience, and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered. Click here to learn more about our benefit offerings.
McGraw Hill recruiters always use a “@mheducation.com” email address and/or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email. 51325
