Engineering Manager, AI-Native Platform

🕒 vor 1 Monat

🏄 California – Remote

🏄 California – Remote

💵 $148.600 - $198.200 / Jahr

⏰ Vollzeit

🟠 Senior

🔴 Experte

👮‍♀️ Leiter Softwareentwicklung

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

👻 Geisterscore 7%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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First American

WebsiteLinkedInAlle Stellen

10.000+ Mitarbeiter

Gegründet 1889

🏠 Immobilien

💸 Finanzen

🏢 Unternehmen

Real Estate • Finance • Enterprise

First American ist ein traditionsreiches Unternehmen, das seit 1889 tätig ist und sich zu einer Organisation mit 9 Milliarden Dollar Umsatz, über 20. 000 Mitarbeitern und mehr als 700 Büros weltweit entwickelt hat. Das Unternehmen bietet eine Reihe von Produkten und Dienstleistungen an, die Hauskäufer, Verkäufer, Unternehmen und Investoren im Immobilienmarkt unterstützen. Mit einem starken Fokus auf Mitarbeiterengagement und Unternehmenskultur legt First American Wert auf Innovation, Technologie und gesellschaftliches Engagement, um die Transformation innerhalb der Immobilienbranche voranzutreiben.

Beschreibung

• Lead one or more distributed engineering teams designing, building, and operating modern cloud-native and AI-powered software systems • Create an inclusive, psychologically safe environment where engineers can grow, collaborate, and deliver results • Coach engineers through feedback, career development, performance management, and mentoring • Build hiring pipelines, make hiring decisions, and raise the engineering talent bar • Own predictable delivery by establishing priorities, planning mechanisms, and execution discipline • Remove obstacles, manage competing priorities, and ensure high-quality software delivery aligned with business objectives • Measure team health with engineering and operational metrics to improve velocity, quality, and customer outcomes • Partner with Product Management, Design, Architecture, Security, and Business stakeholders to align roadmaps and priorities • Translate ambiguous business problems into executable engineering plans • Champion responsible AI adoption across the software development lifecycle • Ensure effective use of AI-assisted development tools while maintaining quality, security, and engineering judgment • Evaluate opportunities for AI-powered products and agentic systems with governance, observability, and operational safeguards • Establish operational practices supporting secure, observable, resilient, scalable, and maintainable software • Drive improvements through metrics, postmortems, incident reviews, SLOs, automation, and engineering health initiatives • Develop planning, estimation, sprint, release, metrics, on-call, documentation, technical debt, and workflow systems • Simplify processes, reduce friction, and improve engineering productivity • Guide technical decision-making, review architecture and design proposals, and encourage sound engineering tradeoffs • Partner with senior and staff engineers to evolve technical direction while empowering independent decisions

🎯 Anforderungen

• 7+ years of experience building production software systems, including experience leading engineering teams • Demonstrated experience managing software engineers and building high-performing engineering teams • Strong experience delivering cloud-native, distributed software systems in production • Experience establishing engineering processes that improve delivery predictability, software quality, and operational excellence • Strong understanding of modern software architecture, cloud infrastructure, APIs, distributed systems, and software engineering best practices • Experience using business and engineering metrics and operational data to improve team effectiveness and customer outcomes • Experience coaching engineers through performance, career growth, feedback, and mentorship • Experience partnering effectively with Product Management, Design, Architecture, and cross-functional stakeholders • Strong understanding of iterative, metrics driven software development and continuous delivery; DORA • Experience adopting AI-assisted software development tools • Excellent communication skills with the ability to influence, align stakeholders, and drive decisions across technical and business teams • Strong judgment balancing customer needs, technical health, organizational priorities, and long-term sustainability • Ideally, experience with AI platforms such as OpenAI, Azure OpenAI, Anthropic, or Databricks • Ideally, experience with AI-assisted development tools including Cursor, Claude Code, GitHub Copilot, or similar • Ideally, experience with C# (.NET), Python, Go, Java, TypeScript, or similar technologies • Ideally, experience with Kubernetes and containerized application platforms • Ideally, experience with Terraform, CDK, or similar Infrastructure as Code technologies • Ideally, experience with OpenTelemetry, Grafana, Datadog, Prometheus, or similar observability platforms • Ideally, experience in highly regulated industries such as Financial Services, Insurance, or Healthcare • Ideally, experience leading geographically distributed engineering teams

🏖️ Vorteile

• Medical insurance • Dental insurance • Vision insurance • 401k • PTO/paid sick leave • Employee stock purchase plan • Inclusive, people-first workplace culture • Remote work welcome

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