Staff AI Software Engineer, Product
Brightwheel · United States
About this role
## Staff AI Software Engineer, Product ### About Brightwheel Brightwheel is the largest, fastest growing, and most loved platform in early education—trusted by millions of educators and families every day. We’re a three-time Cloud 100 company, backed by top investors including Addition, Bessemer, Emerson Collective, Lowercase Capital, Notable Capital, and Mark Cuban. ### Mission & Opportunity Early education is a critical support for working families and a major market that remains underserved by modern technology. Brightwheel helps early education programs run their business, serve families, and support children’s growth. ### The Role Join our Product Engineering team to help build the platform that thousands of early education programs rely on daily. As a vertical SaaS company, Brightwheel sits at the center of key workflows like enrollment, billing, staffing, classroom planning, and family communication. We’re extending this foundation into a system of action—where software not only records what happened, but also anticipates work, recommends next steps, and can take safe, automated action on behalf of school leaders, teachers, families, and internal teams. This is a builder role for someone who wants to solve real customer problems and help define how AI changes the product experience for early education. ### What You’ll Do - Own meaningful problems from discovery through launch, measurement, and iteration - Use AI to improve both how you build and what Brightwheel can deliver - Prototype quickly, validate assumptions, and use working software to create clarity - Raise the bar for quality, reliability, security, privacy, observability, and execution - Build customer-facing workflows across core product areas (e.g., enrollment, billing, classrooms, staffing, family communication, onboarding) - Partner with product, design, and customer-facing teams to turn ambiguous problems into shipped software with measurable impact ### What You May Have - 5+ years of professional software engineering experience - Strong engineering fundamentals; ability to reason across systems, data, APIs, product surfaces, and infrastructure - Experience owning production work from problem definition through launch and iteration - Use AI tools and agents as a real part of your engineering workflow (not a novelty) - Ability to explain how you increased your own velocity (details not fully included in the provided description)
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