Staff AI Product Builder, Data Engineering

🕒 May 18

🇺🇸 United States – Remote

💵 $154k - $237k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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brightwheel

WebsiteLinkedInAll Job Openings

201 - 500 employees

📚 Education

☁️ SaaS

🤝 B2B

💰 $55M Series C - Brightwheel on 2021-02

Education • SaaS • B2B

brightwheel is an all-in-one childcare and early education management platform that helps preschools, childcare centers, in-home caregivers, camps, Montessori programs and multisite operators manage billing and payments, enrollment and admissions, attendance and check-in, staff scheduling and payroll, family communication, curriculum and assessments, CACFP/health checks, and reporting via a mobile-first SaaS app used by administrators, teachers, and parents.

📋 Description

• 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 the data foundations that let AI stitch together longitudinal operational signals across domains (customers, prospects, interactions, transcripts, product, ops, billing, support) into reliable workflows. Build evidence-first pipelines that produce structured outputs with provenance and uncertainty handling, and that store artifacts rather than overwriting truth. • Build a durable job execution system for agent workflows: retries, explicit budgets, idempotency, and monitoring. • Create shared abstractions for AI and data systems: tool interfaces, logging, cost tracking, evaluation harnesses, data contracts, SLAs, and reusable workflow components that increase trust in both data and AI outputs. • Partner with internal teams as customers. Define success metrics with them, design workflow delivery surfaces, and iterate based on adoption and impact. • Lead by example in AI-augmented engineering, using AI tools to increase velocity while maintaining architectural rigor.

🎯 Requirements

• 5+ years of professional engineering experience with clear ownership of production systems from design doc through launch and iteration. • A track record of shipping AI-powered workflows to production with measurable impact, including hands-on experience with LLM tool use, retrieval patterns, evaluation, and monitoring. • Experience operating AI systems in production: evaluation harnesses, rollout strategies, and monitoring that ties system health to output quality. • Experience designing data platforms for operational use cases: canonical models, identity resolution and deduplication, and governance patterns that support safe downstream consumption. • Experience designing reliable workflow systems: job orchestration, backfills and retries, observability, and cost/performance tradeoffs. • Demonstrated ability to influence technical strategy across organizational boundaries.

🏖️ Benefits

• 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.)