Sr. Deployment Strategist, FDE - Manufacturing & High-Tech

United States · California · 7+ years experience · Posted Sep 21, 2026

At a glance

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

You are a Deployment Strategist on the FDE team, a strategic initiative sponsored by the CEO and Founders to win high-value AI opportunities by delivering outcomes.
You act as the product manager for the customer's problem, owning technical and product direction from discovery through production launch.
You bridge the gap between a customer's business problem and Databricks' technical solution through executive presence, product thinking, and technical depth.

Partner with Sales to perform deep discovery, map the customer's organization, quantify business value, and define the pilot, including its MVP, success criteria, and timeline.
Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester.
Translate business requirements into clear data, integration, security, and operational requirements.
Drive the FDE build team through an agile delivery process, manage stakeholders from the C-suite to individual engineers, and unblock technical or organizational issues.
Lead technical discovery, design reviews, and architecture shaping with FDEs.
Own the Day 0 launch, manage the war room, and drive solutions from launch to full adoption.
Own production readiness across data quality, testing, security, performance, and operations.
Scope the ongoing maintenance plan, create customer documentation and training, and codify reusable solution patterns.

Executive presence and communication skills to build rapport quickly and advise senior stakeholders.
Product judgment and delivery skills to define requirements, prioritize work, manage scope, and lead complex agile software projects.
Technical fluency and architecture judgment across cloud platforms, data pipelines, data models, distributed systems, APIs, security and governance, machine learning, and generative AI application patterns.
Hands-on technical ability and proficiency in at least one language such as Python, Java, or SQL.
Typically 7+ years of experience delivering complex, customer-facing data, analytics, AI, or software engagements, or equivalent experience as a founder or technical builder.

Experience in a high-growth technology company, forward-deployed organization, or leading consultancy