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The Curriculum Derivative Product Manager reports to the Chief of Product and is responsible for the quality, lifecycle, and supporting systems of OpenSciEd's curriculum derivatives and companion products. This role works across matrixed internal teams and external partners to ensure derivative products are intentionally selected, well designed, and sustainably supported, strengthening the overall OpenSciEd curriculum and support ecosystem. This role balances strategic decision-making with hands-on product leadership, ensuring that curriculum derivatives connect market desires with OpenSciEd’s instructional vision, quality standards, and equity commitments.
This role will also advance OpenSciEd’s AI-related work aimed at making curriculum and derivative development more efficient, consistent, and cost-effective, and working with partners to create Companion tools and resources that support implementation.
What You’ll Do
The Derivative Product Manager leads the work to ensure that OpenSciEd’s derivative and companion products uphold the quality that is expected of the OpenSciEd brand and that these materials extend OpenSciEd’s reach to more classrooms. Initially, the Derivatives Product Manager will focus on bringing existing derivatives into OpenSciEd’s authoring and distribution systems as processes are established or refined. This will include setting the criteria for quality that derivatives must meet, coordinating reviews of derivatives against the criteria, and determining how much support OpenSciEd gives each product. It also includes building the processes and tools that bring derivatives in as well as distribute and maintain them over their life cycle. As this work moves forward, this role will also own the strategy for pursuing curriculum derivatives, from opportunity identification through development, release, ongoing market support, and owning the ROI for each derivative investment.
Finally, this role leads connected technology efforts that draw on the power of machine learning to support the creation and rollout of OpenSciEd Companions and make product development and distribution processes more effective and efficient. This work will include collaborating with Learning Commons to refine an OpenSciEd-specific knowledge graph, supporting build partners to use the knowledge graph to create great products, and writing and maintaining AI agent skills for internal and external use.
Key Responsibilities
Requirements
Benefits
Compensation is in the range of $125,000-$135,000. We cover 100% of employee-only medical, dental, and vision premiums, offer a strong 401(k) match, and provide life and disability insurance, pre-tax savings accounts, and wellness support like One Medical, Talkspace, and Teladoc.
See the full benefits overview
OpenSciEd is a virtual organization, and this position can be based anywhere in the United States. Work is conducted in your home office or an offsite location.
OpenSciEd celebrates, supports, and thrives on difference and diversity for the benefit of our team members, our partnerships, and our community. We are an equal opportunity employer and hire without consideration of race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status, or disability.
AI-Use Statement
You are welcome to use AI tools to prepare your application and any work sample. In live interviews, we want to hear your own thinking. Please do not use AI assistants, note-taking bots, or other people during the interview unless we ask you to. We may ask you to explain or extend anything you submitted.
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