Hybrid Product Manager

at Learning Commons

• Job title: Product Manager
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $190,000 - $261,800 per year
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, Redwood City, United States

About the role

• Product Manager on Evaluators team managing dataset annotation and evaluator development pipeline for EdTech products. Collaborating with data scientists and educators, focusing on AI evaluation in educational tools.

Responsibilities

• Own the annotation-to-evaluator pipeline: Manage the end-to-end process from identifying pedagogical constructs through dataset creation, model training, and evaluator validation; balance accuracy requirements with delivery timelines
• Shape evaluator roadmap and prioritization: Conduct discovery with EdTech developers building literacy and content generation tools to understand which evaluators deliver the most value; provide input on prioritization based on impact, feasibility, and strategic alignment
• Make strategic tradeoffs between accuracy and velocity: Partner with data scientists to set appropriate accuracy thresholds for different evaluator types; decide when to ship, iterate, or restart based on performance against baselines
• Translate learning science into product specifications: Work with learning scientists to convert pedagogical frameworks for literacy instruction into clear, measurable evaluation criteria; write detailed specs that guide annotation and model development
• Optimize and scale the annotation workflow: Identify opportunities to improve annotator efficiency, reduce ambiguity in guidelines, and increase inter-rater reliability; document learnings to enable expansion into new subject areas

Requirements

• 3-5 years of product management experience: A track record of shipping products, with direct experience working on AI/ML products, data annotation pipelines, or model evaluation workflows
• Strong technical foundation in AI/ML - Comfort discussing annotation methodologies, model performance metrics, accuracy thresholds, inter-rater reliability, and evaluation frameworks with data scientists; ability to understand technical tradeoffs and make informed product decisions
• Exceptional communication and storytelling skills - Ability to translate complex technical and pedagogical concepts into clear narratives for different audiences; skilled at building alignment across diverse stakeholders and making compelling cases for prioritization decisions
• Self-directed execution mindset - Thrives in ambiguous, frontier environments where playbooks don't exist; takes initiative to identify problems, propose solutions, and drive outcomes; comfortable making decisions with incomplete information and learning through iteration
• Customer-centric approach - Passion for understanding developer needs through direct engagement and feedback loops; commitment to building products that solve real problems; driven by mission-oriented work in education.

Benefits

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice.
• Funding for select family-forming benefits.
• Relocation support for employees who need assistance moving