Senior Manager, AI Forward Deployed Engineering

🕒 Setembro 11

🏄 California – Remoto

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💵 $232.900 - $320.200 / ano

⏰ Tempo Integral

🟠 Sênior

🖥 Engenheiro de Software

🦅 Patrocina Visto H1B

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👻 Score fantasma 2%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Databricks

1001 - 5000 funcionários

Fundada em 2013

🤖 Inteligência Artificial

🏢 Corporativo

☁️ SaaS

💰 $1.600.000.000 Series H em 2021-08

Artificial Intelligence • Enterprise • SaaS

A Databricks é uma empresa de dados e IA que oferece uma plataforma unificada para engenharia de dados, machine learning e analytics. Focada em otimizar o processamento de big data, ajuda organizações a aproveitar o Apache Spark para gerar insights mais profundos e criar aplicações poderosas orientadas por dados. A Databricks também disponibiliza ferramentas robustas e integração perfeita para operações de machine learning (MLOps).

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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

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