Senior Manager, AI Forward Deployed Engineering

🕒 vor 25 Tagen

🏄 California – Remote

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💵 $232.900 - $320.200 / Jahr

⏰ Vollzeit

🟠 Senior

🖥 Softwareentwickler

🦅 H1B-Visum-Sponsor

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👻 Geisterscore 2%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Databricks

1001 - 5000 Mitarbeiter

Gegründet 2013

🤖 Künstliche Intelligenz

🏢 Unternehmen

☁️ SaaS

💰 €1.600.000.000 Series H im 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks ist ein Daten- und KI-Unternehmen und bietet eine einheitliche Plattform für Data Engineering, Machine Learning und Analytics. Der Schwerpunkt liegt auf der Optimierung der Big-Data-Verarbeitung. Databricks unterstützt Organisationen dabei, Apache Spark zu nutzen, um tiefere Erkenntnisse und leistungsstarke, datengetriebene Anwendungen bereitzustellen. Zudem stellt Databricks robuste Tools und eine nahtlose Integration für MLOps (Machine Learning Operations) bereit.

Beschreibung

• Lead and scale a high-performing AI forward deployed engineering team • Hire, mentor, and build team structures supporting long-term growth and execution at scale • Influence Product, R&D, and GTM using customer insights and delivery learnings to inform product roadmap and GTM strategy • Develop and expand executive relationships with key customers and partners, including VP+ and CIO/CDO-level stakeholders • Act as a trusted advisor during complex technical engagements and AI transformations • Partner with Field Engineering and Sales leadership on strategic account strategy and cross-functional delivery • Lead strategic AI initiatives, practice development, and scalable delivery processes • Own OKRs for AI-services-led accounts, revenue, utilization, and public references • Represent Databricks as an AI thought leader through conference talks and published content

🎯 Anforderungen

• Experience building and managing high-performing teams of AI/ML scientists, engineers, and leaders • Ability to scope, sell, and deliver technical engagements in enterprise environments • Experience managing escalations and ensuring successful customer outcomes • Strong, current technical depth in AI/ML foundations • Experience leading teams that have shipped production AI solutions in AWS, Azure, or GCP environments • Proven success developing strategy with senior executive stakeholders • Experience driving AI transformation across enterprise customers • Experience working across Sales, Product, and GTM • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience • Candidates should expect to travel at least once a month

🏖️ Vorteile

• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks; specific regional details provided via Databricks benefits information

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