Deployment Strategist
Databricks · Product · Senior · 1mo ago
Anyone, anywhere in the world can apply.
Applies on the original listing · via We Work Remotely
Who can apply
Read straight from the listing, so you know before you spend time on it.
Anyone, anywhere in the world can apply.
“Anywhere in the World”
Headquartered in San Francisco with 30+ offices around the globe.
- Async-first
- The listing doesn't promise async-first working.
- Contractor / B2B
- No mention of hiring international contractors or invoicing.
- Global stipend
- No home office or equipment budget mentioned.
- Annual retreat
- No company-paid get-togethers mentioned.
Read from the listing automatically. Always confirm the details with the company before you accept an offer.
About the role
As a Deployment Strategist on Databricks' Forward Deployed Engineering (FDE) team, you will bridge customer multi-million-dollar business challenges with Databricks technical capabilities. You will partner with sales on discovery, define pilot MVPs, write comprehensive PRDs, and partner directly with FDE engineers to build, launch, and drive adoption for production-grade AI and data solutions. This position requires hands-on technical skills along with a readiness to travel onsite to customer locations (25–50%+).
What you'll do
- Partner with Sales to conduct deep discovery, quantify high-value business problems, and define pilot MVP scope and timelines.
- Author PRDs, prioritize engineering backlogs, manage scope, and act as hands-on QA tester translating business needs into data and operational requirements.
- Lead technical discovery and agile delivery alongside Forward Deployed Engineers, evaluating architectural tradeoffs and platform constraints.
- Manage launch war rooms, drive customer user adoption, and oversee production readiness across data quality, security, and performance.
- Scope ongoing maintenance plans, create documentation, and establish reusable solution patterns for Product and Engineering teams.
What you bring
- Typically 7+ years of experience delivering complex, customer-facing data, analytics, AI, or software engagements.
- Proficiency in at least one language such as Python, Java, or SQL, with ability to explore data, review pipelines, and troubleshoot.
- Deep understanding of modern data and AI architectures, cloud platforms, distributed systems, APIs, and generative AI patterns.
- Strong track record authoring product requirements and leading agile projects from ambiguous problems to measurable outcomes.
- Willingness and flexibility to work onsite with customers (often 25–50%, sometimes higher) to drive delivery.
About Databricks
Databricks is the Data and AI company, providing a unified platform relied on by over 20,000 organizations worldwide to build data, analytics, and AI applications.
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