Staff AI Product Builder, Data Engineering

🕒 Maio 18

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $154.000 - $237.000 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

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brightwheel

SiteLinkedInTodas as Vagas

201 - 500 funcionários

📚 Educação

☁️ SaaS

🤝 B2B

💰 $55.000.000 Series C - Brightwheel em 2021-02

Education • SaaS • B2B

brightwheel é uma plataforma de gestão completa para cuidados infantis e educação infantil que ajuda pré-escolas, centros de cuidados infantis, cuidadores domiciliares, acampamentos, programas Montessori e operadores de múltiplas unidades a gerenciar cobrança e pagamentos, matrícula e admissões, presença e check-in, agendamento de funcionários e folha de pagamento, comunicação com as famílias, currículo e avaliações, verificações de saúde/CACFP e relatórios através de um aplicativo SaaS, voltado para dispositivos móveis, utilizado por administradores, professores e pais.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.)