Note: The job is a remote job and is open to candidates in USA. McGraw Hill is dedicated to delivering digital learning experiences that transform education. The Senior Technical Product Manager will lead cross-functional engineering teams within the Enterprise domain, focusing on developing and delivering scalable AI solutions that enhance learning outcomes and drive data-informed decision making.

Responsibilities

• Own the product lifecycle within the enterprise team - from planning through execution and continuous optimization - working closely with software engineering, data science, and business leadership to deliver secure, efficient, and integrated solutions
• 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

Skills

• 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
• 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

Benefits

• An annual bonus plan may be provided as part of the compensation package
• A full range of medical and/or other benefits, depending on the position offered

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