Job description

Job Overview: We are seeking a Senior Technical Product Manager, Learning Intelligence to pioneer the platform and data foundations of our next-generation educational software ecosystem. In this role, you will lead the technical realization and execution of the roadmap transforming our supplemental content resources into an AI-powered, context-aware Tier 1 HQIM learning pathways ecosystem. Operating deep in technical planning and execution, you will own the technical product lifecycle for our AI curation engine, external data ingestion pipelines, and adaptive recommendation algorithms, and collaborate as an execution partner with product management, engineering architecture, UX/LD, research, and data analysis teams within the structured Learning Intelligence Infrastructure (LII) framework. Your mission is to build a dynamic system that bridges data between supplemental curricula, core curricula, and assessment systems. Job Responsibilities: Partner with business product management to support the platform engineering roadmap, contributing to technical specifications for interoperability & identity workflows that serve business PM requirements. Serve as the Technical Product PM Lead and key operational partner for our Learning Intelligence Infrastructure Initiative (LII), partnering closely with the initiative s primary Co-leads (Engineering Architecture, Data & Analysis, and Research) to translate architectural requirements, learner profiles, and data requirements into executable platform roadmaps. Partner with Engineering Architecture (who owns core technical principles and schema designs) to translate interoperability, report metrics, and data mappings into clear, executable technical product backlogs. Facilitate alignment across Learning Experience & Design, curriculum and content integration SMEs, and technical teams, partnering with Product Management, Engineering, Research, User Experience, and Data & Analytics (DnA) to drive strategy and delivery of accurate, explainable, privacy-aware systems that meet technical requirements and educator and learner needs. Define use cases, success criteria, guardrails, and phased implementation plans for AI-powered capabilities across curriculum metadata, learning analytics, reporting, and system-to-system workflows, ensuring alignment with the outcomes framework and persona decision maps. Analyze outcomes and support program decisions to implement technical enhancements to student learner profiles, automated recommendation systems, and growth predictive models grounded in the research team’s validation frameworks. Own technical product management planning and execution, bridging business goals with technical solutions. Build roadmaps for platform capabilities that may not always be visible to end users, broker product decisions with stakeholders, and establish iterative objectives. Clarify business use cases, importance, and impact on customer experience. Translate ambiguous stakeholder needs into clear product requirements. Coordinate who needs to be involved across departments, at the appropriate time, and organize feedback. Support dual track continuous learning by incorporating customer questions, suggestions, and issues into product backlogs and product improvement plans. Identify and coordinate response to program/delivery risks. Job Requirements: Bachelor’s Degree in technology, engineering, business, or related discipline. 7 years of technical product management experience, with at least 3 years specifically leading data science initiatives using machine learning or deeply algorithmic data products. Ability to provide highly credible leadership with engineering teams translating technical schemas and system architecture into product specifications, roadmaps, and integration sequencing. Implemented agentic AI systems for customer-facing product experiences. Direct experience integrating data between platforms collaborating with cross-functional governance structures to support data quality standards, metadata validation, and interoperability policies. Demonstrated ability to write concise technical requirements and documentation. Distill concise, complete, and actionable communications to resolve complex and technical decisions. Excellent interpersonal and communication skills. Motivate and lead across organizational boundaries/titles, applying persuasion, negotiation, and compromise to resolve conflict. Ability to adapt to changes in business objectives and priorities, as part of a fast-growing company. Be a life-long learner who is results and action-oriented. Why Work for Us When you join ExploreK12™, you become part of a mission to help educators unlock brighter futures for every student. As a trusted leader in educational technology, we serve more than 17 million students and educators across 150 countries with innovative, research-backed learning solutions that truly make a difference. Our flagship products—Gizmos™, Raz-Plus®, and Reflex™—are beloved by educators and students alike for being as practical and effective as they are fun. To learn more about our organization and the exciting work we do, visit www.ExploreK12.com . Remote First Work Environment Our Remote First approach gives employees the flexibility and trust they need to effectively balance work with life. It creates a culture in which all employees are valued and where success is measured in results. It allows us to work collaboratively, inclusively and for greater positive impact, regardless of our individual locations. If you will be working remotely, either occasionally or on a permanent basis, you must have a reliable internet connection through a cable or fiber-optic broadband service with minimum speeds of 10 Mbps download and 5 Mbps upload. The successful candidate will be expected to actively participate in video-based interviews during the recruiting process and ongoing virtual meetings with their camera on, as part of their role. To maintain confidentiality and ensure a fair evaluation process, the use of note-taking tools, reference materials, or AI-powered tools (including generative AI, language models, or similar technologies) during interviews or other selection activities is prohibited unless prior written approval has been obtained from the People Experience team. If you require an exception for medical, accessibility, or other reasons, please contact your Talent Acquisition team member to discuss accommodations in advance. As part of our Remote-First benefits, Cambium offers reimbursement to help cover the cost of setting up your home or remote office. An Equal Opportunity Employer We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, age, religion, sex (including pregnancy, gender, gender identity/expression, or sexual orientation), national origin, protected veteran status, disability, or genetic information (including family medical history). We will provide reasonable accommodations for qualified individuals with disabilities. You may request an accommodation during the recruiting process with your Talent Acquisition team member.

Requirements

Must-haves

Partner with business product management to support the platform engineering roadmap, contributing to technical specifications for interoperability & identity workflows that serve business PM requirements.
Partner with Engineering Architecture (who owns core technical principles and schema designs) to translate interoperability, report metrics, and data mappings into clear, executable technical product backlogs.
Own technical product management planning and execution, bridging business goals with technical solutions.
Build roadmaps for platform capabilities that may not always be visible to end users, broker product decisions with stakeholders, and establish iterative objectives.
Clarify business use cases, importance, and impact on customer experience. Translate ambiguous stakeholder needs into clear product requirements.
Coordinate who needs to be involved across departments, at the appropriate time, and organize feedback.
Support dual track continuous learning by incorporating customer questions, suggestions, and issues into product backlogs and product improvement plans.
Identify and coordinate response to program/delivery risks.
Bachelor’s Degree in technology, engineering, business, or related discipline.
7 years of technical product management experience, with at least 3 years specifically leading data science initiatives using machine learning or deeply algorithmic data products.
Ability to provide highly credible leadership with engineering teams translating technical schemas and system architecture into product specifications, roadmaps, and integration sequencing.
Implemented agentic AI systems for customer-facing product experiences.
Direct experience integrating data between platforms collaborating with cross-functional governance structures to support data quality standards, metadata validation, and interoperability policies.
Demonstrated ability to write concise technical requirements and documentation. Distill concise, complete, and actionable communications to resolve complex and technical decisions.
Excellent interpersonal and communication skills. Motivate and lead across organizational boundaries/titles, applying persuasion, negotiation, and compromise to resolve conflict.
Ability to adapt to changes in business objectives and priorities, as part of a fast-growing company. Be a life-long learner who is results and action-oriented.
Why Work for Us
When you join ExploreK12™, you become part of a mission to help educators unlock brighter futures for every student.
To learn more about our organization and the exciting work we do, visit www.ExploreK12.com .
Remote First Work Environment
As part of our Remote-First benefits, Cambium offers reimbursement to help cover the cost of setting up your home or remote office.
An Equal Opportunity Employer
We will provide reasonable accommodations for qualified individuals with disabilities. You may request an accommodation during the recruiting process with your Talent Acquisition team member.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningaccessibility

Platform: workday
Effort: long