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About the Role
The Forward Deployed Engineering (FDE) team is a new, strategic initiative focused on winning high-value AI opportunities by delivering outcomes. As a Deployment Strategist, you will be a founding team member, embedded with strategic customers from sales through to a production-ready solution, acting as the product manager for the customer's problem.
Responsibilities
- Partner with Sales to perform deep discovery, map customer organizations, quantify business value, and define pilot scope, MVP, success criteria, and timeline.
- Author PRDs, prioritize engineering backlogs, manage scope, and act as the primary hands-on QA tester.
- Translate business requirements into clear data, integration, security, and operational requirements for engineers.
- Drive the FDE build team through agile delivery, manage stakeholders, and unblock technical or organizational issues.
- Lead technical discovery and design reviews, understanding customer data flows, integrations, platform constraints, and operational environments.
- Own the 'Day 0' launch, manage the war room, and drive the solution to full adoption by capturing user feedback and iterating.
- Ensure production readiness across data quality, testing, security, performance, and operations.
- Diagnose and drive resolution of production issues.
- Scope ongoing maintenance plans and create customer documentation/training.
- Identify next high-value FDE engagements and leverage trusted advisor status.
- Codify reusable solution patterns and bring field insights back to Product and Engineering.
Requirements
- 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 helping deliver data, machine learning, or generative AI systems into production.
- Understanding of integration, operational, and adoption challenges in real environments.
- Experience in a high-growth technology company, forward-deployed organization, or leading consultancy is valuable.
- Enjoy working onsite with customers (often 25-50%, sometimes higher) to drive delivery.
- Proficient in at least one language such as Python, Java, or SQL.
- Ability to explore data, work in notebooks, read and review code and pipelines, build or adapt prototypes, and contribute meaningfully to troubleshooting.
- Understand modern data and AI architectures, including cloud platforms, data pipelines, data models, distributed systems, APIs, security and governance, machine learning, and generative AI application patterns.
- Ability to lead architecture discussions, evaluate trade-offs, and pressure-test technical decisions.
- Strong executive presence and excellent communication skills.
- Ability to build rapport quickly and help senior stakeholders make difficult decisions.
- Ability to define what to build and why, write strong product requirements, prioritize engineering work, manage scope, and lead complex agile software projects from an ambiguous problem to a measurable outcome.
Skills
- Python
- Java
- SQL
- Data Architecture
- AI Architecture
- Cloud Platforms
- Data Pipelines
- Data Models
- Distributed Systems
- APIs
- Security
- Governance
- Machine Learning
- Generative AI
- Agile Delivery
- Product Management
- Technical Discovery
- Solution Architecture
- Customer Relationship Management
Location
- Zone 1
- Zone 2
- Zone 3
- Zone 4
Work Type
- Onsite with customers (often 25-50%, sometimes higher)
Experience Level
- Senior
- 7+ years
Salary/Compensations
- $219,765—$302,220 USD
Benefits
- Comprehensive benefits and perks
- Eligibility for annual performance bonus
- Equity
About the Company
- Databricks is the Data and AI company.
- More than 20,000 organizations worldwide 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.
Equal Opportunity
- Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.