Learning Commons

Senior Manager, Engineering, Knowledge Graph

Redwood City, CA (Hybrid) · Senior

Sponsorship not specified$241k-$331kDetected 46 days ago

Machine LearningData EngineeringLLMsCompensationResearchLeadershipCommunicationMentoring

About the role

At Learning Commons, we are inspired and excited by the possibilities and promise of AI to accelerate the availability of research-backed practices at scale.
We are actively and thoughtfully exploring how to incorporate AI into products in close partnership with researchers, experts, and educators.

Lead and manage the high-performing team responsible for the Knowledge Graph platform, including graph infrastructure, dataset ingestion pipelines, and AI-powered retrieval capabilities.
Support team and organizational growth through hiring, mentoring, and developing engineering leaders and senior technical talent.
Provides a generous employer match on employee 401(k) contributions to support planning for the future.
Relocation support for employees who need assistance moving

With the advent of generative AI, that translation work can be accelerated and scaled to have a greater impact.

The Redwood City, CA base pay range for a new hire in this role is $241,000 - $331,100.
New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time.
Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
This position may be eligible to participate in our discretionary annual performance bonus program.
As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment.
This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager.

Paid time off to volunteer at an organization of your choice.
Funding for select family-forming benefits.
The vision and pragmatism to drive widespread adoption of AI systems within engineering and across Learning Commons
Passion for education and building mission-driven technology that supports teachers and students through our build partners
Define and drive the technical strategy and roadmap for integrating educational content, learning science research, curriculum standards into scalable knowledge systems
Collaborate with Product, Design, Learning Science and Partnerships teams to drive forward our high-quality data and platform infrastructure
Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.

At Learning Commons, we pair technology with grantmaking to scale proven teaching and learning practices to benefit every learner.
We aim to translate what learning science tells us about how students learn best into classroom practice.
Our mission is to bring learning science into the tools used every day by teachers and students, ensuring that technology reflects the realities of classrooms and strengthens teaching and learning.
In today's fragmented edtech landscape, school districts are often left piecing together products that don't always align with curricula or instructional needs.
While AI holds enormous potential to support educators, it can only deliver on that promise when grounded in research, high-quality educational data, and expert evaluation.
That's why we're building open, public-purpose infrastructure - datasets, rubrics, and resources - that help raise the standard for educational tools and create more consistent, impactful learning experiences for all students and teachers.

This listing is sourced directly from Learning Commons's careers page and normalized into a canonical job model.