Staff AI Product Builder, Data Engineering

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

💵 $154 000 - $237 000 / an

⏰ Temps Plein

🔴 Expert

🚰 Ingénieur Data

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

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brightwheel

Site WebLinkedInTous les Emplois

201 - 500 employés

📚 Éducation

☁️ SaaS

🤝 B2B

💰 €55 000 000 Series C - Brightwheel en 2021-02

Education • SaaS • B2B

brightwheel est une plateforme de gestion tout-en-un pour la petite enfance et l'éducation précoce, qui aide les écoles maternelles, les garderies, les assistantes maternelles à domicile, les camps, les programmes Montessori et les opérateurs multi-sites à gérer la facturation et les paiements, les inscriptions et admissions, la présence et l'enregistrement, la planification et la paie du personnel, la communication familiale, les programmes éducatifs et évaluations, les vérifications de santé/CACFP et les rapports via une application SaaS mobile utilisée par les administrateurs, enseignants et 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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.)