Staff AI Product Builder

Brightwheel
United StatesPosted 9 March 2026

Job Description

Staff AI Product Builder 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 https://www.forbes.com/lists/cloud100/a, backed by top investors including Addition, Bessemer, Emerson Collective, Lowercase Capital, Notable Capital, and Mark Cuban. Our Team Our team is passionate, talented, and customer-focused. We embody our Leadership Principles https://mybrightwheel.com/about/ in our work and culture. We are a distributed team with remote employees across every US time zone, as well as select offices in the US and internationally. Who You Are You are a Staff level full-stack builder who is both AI-native and product-minded. You love taking an ambiguous customer problem, turning it into a clear plan, and shipping a real end-to-end experience that moves a meaningful outcome. You care about craft and trust in what you ship, and you leave behind reusable building blocks so the next team can move even faster. You will succeed in this role if you are: - Driven by outcomes. You care about helping preschools and childcare centers stay full, save time, and serve families better – not just about shipping “an AI feature.” - AI-native. You treat AI as part of your toolchain: you rely on modern AI coding assistants and IDEs and lightweight automation or orchestration tools to move dramatically faster, and you know when AI adds real leverage versus when a simple service or query is enough. - A product-driving technical leader. You don’t wait for perfect requirements — you validate hypotheses with prototypes, talk to customers and internal teams, define success metrics, and use working software to align others and drive decisions. - Full stack with a platform mindset. You are comfortable designing data models and APIs, implementing backend logic, and building the front-end experiences that sit on top – and you enjoy creating shared services and patterns that other teams can reuse. - Thoughtful about AI’s limits. You understand hallucinations, safety, and evaluation, and you design data flows, UX, and guardrails around those constraints rather than ignoring them. - Security-minded. You handle sensitive school, educator, and family data with care and instinctively look for secure designs and least-privilege access patterns. What You’ll Do In this role, you’ll own AI-powered improvements in core brightwheel workflows end-to-end, from opportunity sizing to launch to iteration. You’ll ship experiences that make administrators and teachers faster and more effective, while creating shared patterns that help the rest of engineering build safely and consistently. You will: - Design and build cross-cutting AI services (such as retrieval, context, evaluation, and guardrails) that power multiple product areas like classroom workflows, billing, and family communication. - As a hybrid PM+Eng+Data builder: own the end-to-end product loop for the problems you take on: talk to customers and internal teams, define the success metric, design the workflow and user experience, shape the data and evaluation plan, and ship iterative releases from prototype to reliable, scalable production. - Create shared abstractions and tooling for AI – for example, common prompt and tool patterns, logging and monitoring, and reusable components – so other engineers can build on a consistent foundation. - Shape our data and system architecture so AI can safely stitch together longitudinal signals across product, billing, support, and operations 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, mentoring L2/L3 engineers, and ... (truncated, view full listing at source)