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Deployment Strategist

Databricks· FDE (Forward Deployed Engineering)
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RemoteFull-timePosted 2mo ago

About the role

The Deployment Strategist (DS) is a product-manager-like role acting as the bridge between a customer’s multi-million-dollar business problem and Databricks’ technical solution. Embedded with strategic customers from initial sales through production launch and adoption, the DS leads discovery, defines MVPs, writes PRDs, coordinates with engineers, and drives landing and adoption.

Responsibilities

  • Partner with Sales to perform deep discovery, map the customer's organization, quantify business value of $10M+ problems, and define the pilot including its MVP, success criteria, and timeline.
  • Author the PRD, prioritize the engineering backlog, manage scope, and act as primary hands-on QA tester.
  • Translate business requirements into data, integration, security, and operational requirements for engineers.
  • Lead technical discovery and design reviews; shape solution architecture with FDEs; ensure proposed solutions can move from prototype to production.
  • Own Day 0 launch, manage the war room, drive the solution from launch to full adoption, capture user feedback, iterate, and prove business value.
  • Own production readiness across data quality, testing, security, performance, and operations; diagnose issues and drive resolution.
  • Scope ongoing maintenance plans, create customer documentation/training, and identify next high-value FDE engagement; codify reusable patterns.

Qualifications

  • Executive Presence & Communication: strong executive presence and ability to build rapport with senior stakeholders.
  • Product Judgment & Delivery: define what to build, write strong PRDs, prioritize work, manage scope, and lead complex agile projects.
  • Technical Fluency & Architecture Judgment: understanding of modern data/AI architectures, cloud platforms, data pipelines, data models, distributed systems, APIs, security/governance, ML and generative AI patterns.
  • Hands-on Technical Ability: proficient in Python, Java, or SQL; can explore data, work in notebooks, review code, build/adapt prototypes, troubleshoot.
  • Relevant Experience: typically 7+ years delivering complex, customer-facing data/analytics/AI/software engagements; experience delivering data/ML/GenAI in production; experience with high-growth tech, forward-deployed org, or consulting; comfortable onsite with customers (25-50% or more).

Skills

Required:Executive presenceProduct managementTechnical storytelling

Benefits

  • Comprehensive benefits and perks; region-specific details available via linked document.
Last updated Sep 24, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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