Mybrightwheel
Staff AI Software Engineer, Product
United States · Staff+
Sponsorship not specifiedDetected 6 days ago
TypeScriptRubySwiftKotlinReactiOSAndroidJetpack ComposeRailsGitPostgreSQLRedisAWSDockerKubernetesCI/CDGitHub ActionsLLMsAgentic AICRMLeadershipCommunication
About the role
- As a vertical SaaS company, brightwheel already sits in the middle of all the key workflows in early education: enrollment, billing, staffing, classroom planning, and family communication.
- We're looking for an AI-native software engineer to join our product engineering team.
- 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.
Responsibilities
- 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.
- Build customer-facing workflows across enrollment, billing, classrooms, staffing, family communication, onboarding, or other core product areas.
- Partner with product, design, and customer-facing teams to turn ambiguous customer problems into shipped software with measurable impact.
- Have examples of automating your own work, your team's work, or broader company workflows.
Requirements
- Experience with retrieval, tool use, evaluation, monitoring, orchestration, or agent workflows.
Skills
- Brightwheel is the largest, fastest growing, and most loved platform in early ed, trusted by millions of educators and families every day.
- Docker, Kubernetes on Amazon EKS, GitHub Actions and FluxCD for CI/CD, and AWS services such as S3, CloudFront, CloudWatch, and SNS
- Brightwheel is committed to creating a diverse and inclusive work environment and is an equal opportunity employer.
Company info
- Use AI tools and agents as a real part of your engineering workflow, not as a novelty.
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This listing is sourced directly from Mybrightwheel's careers page and normalized into a canonical job model.