Staff AI Data Engineer

Staff AI Data Engineer 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 operating at the intersection of AI systems and data architecture. You are 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’ll succeed in this role if you are: - Driven by outcomes: You care about helping operations, GTM, product, and engineering teams move faster, make higher-quality data-driven decisions, and build AI-powered workflows with confidence. You measure success in reduced friction, improved signal reliability, and meaningful business impact — not just infrastructure shipped. - AI-native. You understand how LLMs interpret data and design retrieval, evaluation, and observability into systems from the start. - A product-driving technical leader. You define what data should exist, how it should be structured, and how AI should safely interact with it to drive workflow improvements. - Deep in data modeling and system design. You design schemas, contracts, and storage strategies that enable AI reasoning across domains, not just analytics queries. - Thoughtful about safety and privacy. You build AI-aware data systems with governance, access control, and auditability as first-class concerns. What You’ll Do In this role, you will own AI-powered improvements in core brightwheel workflows end-to-end, with particular emphasis on the data foundation that enables those workflows. You will: - Ship “virtual employee” workflows that do real work before humans engage: research, verification, prioritization, deduplication, and prep artifacts that cite evidence and flag unknowns. - Design and build a durable job execution system for agent workflows, including retries, explicit budgets, idempotency, and monitoring. - Build evidence-first AI pipelines that produce structured outputs with provenance and uncertainty handling, and that store artifacts and evidence rather than overwriting truth. - Design data foundations that allow AI to stitch together longitudinal operational signals across domains (customers, prospects, interactions, transcripts, product/ops/billing/support signals) into reliable workflows. - Create shared abstractions and tooling for AI and data systems: tool interfaces, logging, cost tracking, evaluation harnesses, and reusable workflow components. - Establish data contracts, SLAs, observability, and auditability practices that increase trust in both data and AI outputs. - Partner with internal teams as customers to define success metrics, design workflow delivery surfaces, and iterate quickly based on adoption and impact. - Lead by example in AI-augmented engineering, using AI tools to increase velocity while maintaining architectural rigor. What You’ve Done We are open to a variety of backgrounds, but you likely bring: - 5+ years of professional engineering experience with clear ownership of production systems f ... (truncated, view full listing at source)