Staff AI Product Builder, Data Engineering

brightwheel

Staff AI Product Builder focusing on data engineering for Brightwheel, the leading early ed tech platform. Leading AI-powered improvements in core workflows with a focus on data architecture.

Posted 5/18/2026full-timeRemote • 🇺🇸 United StatesLead💰 $154,000 - $237,000 per yearWebsite

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI-powered workflowsdata platformsjob orchestrationidentity resolutiondeduplicationevaluation harnessesmonitoringcost/performance tradeoffsproduction systemslongitudinal operational signals

Soft Skills

influence technical strategylead by examplecollaborationiterationdesign success metrics