Staff AI Product Builder, Data Engineering

🕒 vor 2 Monaten

🇺🇸 Vereinigte Staaten – Remote

💵 $154.000 - $237.000 / Jahr

⏰ Vollzeit

🔴 Experte

🚰 Dateningenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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brightwheel

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

📚 Bildung

☁️ SaaS

🤝 B2B

💰 €55.000.000 Series C - Brightwheel im 2021-02

Education • SaaS • B2B

Brightwheel ist eine All-in-One-Plattform für das Management von Kinderbetreuung und frühkindlicher Bildung, die Kindergärten, Kinderbetreuungszentren, häuslichen Betreuern, Camps, Montessori-Programmen und Betreibern mit mehreren Standorten hilft, Abrechnungen und Zahlungen, Einschreibungen und Zulassungen, Anwesenheit und Check-in, Personalplanung und Gehaltsabrechnung, Familienkommunikation, Lehrplan und Bewertungen, CACFP/Gesundheitschecks und Berichterstattung über eine mobil-optimierte SaaS-App zu verwalten, die von Administratoren, Lehrern und Eltern genutzt wird.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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.)