Senior Manager, AI Forward Deployed Engineering

🕒 September 11

🏄 California – Remote

🏄 California – Remote

💵 $232.9k - $320.2k / year

⏰ Full Time

🟠 Senior

🖥 Software Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Databricks

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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