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Our Mission and Opportunity Early education is one of the most important determinants of childhood outcomes, a critical support for working families, and a $175B market that remains underserved by modern technology. Brightwheel is the largest, fastest growing, and most loved platform in early ed, trusted by millions of educators and families every day. We are a three-time Cloud 100 company, backed by top investors including Addition, Bessemer, Emerson Collective, Lowercase Capital, Notable Capital, and Mark Cuban.
Job Responsibility:
Work directly with internal customers across Sales, Marketing, Support, and Customer Success to turn ambiguous growth and workflow pain into clear product opportunities, shaping solutions that balance technical feasibility with measurable business impact
Build AI agents and workflows that spot which preschools and childcare centers need help, generate the right message, and guide them from first contact to full, stable use of brightwheel
Ship beautiful and functional user experiences that make our teams better
Create tools for support and success that resolve issues faster and turn every interaction into a chance to help small businesses run better
Instrument what you ship, track metrics like enrollment growth, time saved, and account health, and iterate based on real results
Shape our data and system architecture so AI can stitch together longitudinal signals and recommend what should happen next, not just report what happened
Lead by example in AI-augmented engineering, using AI to multiply your own speed and sharing patterns that raise the bar for the whole team
Requirements:
2+ years of professional software engineering experience, with clear ownership of medium-to-large production systems from problem statement and design doc through launch and iteration
A proven track record of shipping AI-powered products to production, with concrete examples where LLMs meaningfully improved a metric like conversion, retention, productivity, or revenue
Hands-on experience with large language models (LLMs) in real applications, including prompt and tool design, retrieval-style patterns (such as RAG), and evaluation and monitoring in production
Strong computer science fundamentals (e.g., data structures, algorithms, and systems design) and a generalist mindset, comfortable moving between backend, data, and UX to get the job done
Backend engineering skills in at least one modern web stack (such as Ruby on Rails, Python, Go, or Node), plus confidence with relational databases and larger datasets, from data modeling to performant queries and analytics
Experience building modern web front-ends, ideally with React or a similar component-based framework
Nice to have:
A portfolio of personal AI projects, open-source work, or writing that shows how you think about applied AI in real-world settings
Formal training in computer science (4-year CS degree or equivalent depth in core CS topics)
Background in vertical SaaS, ecommerce, or other operations-heavy domains
Experience with autonomous agent frameworks or workflow automation platforms
A track record of raising the bar for quality and operations: writing secure, testable, maintainable code
automating and simplifying dev/test/ops workflows
writing and reviewing design docs
mentoring less experienced engineers
and contributing to hiring through interviews and feedback
What we offer:
Equity & Ownership
Comprehensive medical, dental, and vision coverage
Generous paid parental leave
Flexible PTO so you can recharge when you need it
Local retirement or savings plans (e.g., 401(k) in the U.S.)