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Redwood City, California, United States
Hybrid
Learning Commons aims to scale proven teaching and learning practices to benefit every learner by building AI infrastructure that better connects the way students learn to the tools they learn with.
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. With the advent of generative AI, that translation work can be accelerated and scaled to have a greater impact.
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.
Educators are using AI-based tools to generate lesson plans, create classroom materials such as tests and assignments, and help differentiate instruction for students. 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.
As the Senior Engineering Manager for the Knowledge Graph team, you will lead the strategy, development, and operation of our foundational knowledge platform that is powering AI-enabled educational experiences. You will guide a team of engineers building large-scale graph infrastructure, ingestion pipelines, and developer access tools that connect learning science, curriculum standards, instructional resources, and classroom workflows into a cohesive ecosystem.
You will partner closely with product managers, applied AI researchers, learning scientists and external education experts to develop systems that improve how educational content is organized, discovered and delivered. This role combines technical leadership, people management, organizational influence, and strategic thinking in service of building open infrastructure that advances teaching and learning.
As a Senior Engineering Manager on the team, you will lead a cross-functional team of software engineers, data engineers and AI/ML experts.
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. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.
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. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.
We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
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