Genie Sales Director (AI/BI)

Databricks · United States · HQ Management · listed November 3, 2026

The shape of it

Seniority
Director
Where
Not stated
Stated pay
$272,000 – $374,000 USD
Requirements listed
7
Length
718 words

In the posting’s own words

We are looking for a Genie Sales Director (IC) to accelerate adoption of Databricks Genie across large enterprise customers. This role will connect line-of-business priorities with data, BI, and AI capabilities—helping customers move from high-value business questions to trusted, production-grade Genie experiences while enabling the field to scale the motion.

What it asks for · 7

  • Enterprise software sales or consulting experience in BI, analytics, data platforms, embedded analytics, or business-facing AI solutions, with a track record of exceeding quota or comparable growth goals.
  • Experience selling into complex organizations and mapping buying centers across CIOs, data and IT executives, line-of-business leaders, program managers, and technical practitioners.
  • Demonstrated ability to turn business problems into compelling use cases, quantified business cases, and executive-level value narratives.
  • Experience driving land-and-expand motions from initial adoption through broader account penetration and production scale.
  • Customer and market experience in one or more complex or regulated industries, such as financial services, life sciences, retail, or manufacturing.
  • Ability to build and activate partner strategies that contribute to implementation quality, time to value, and customer success.
  • Ability to explain complex data, BI, semantic-model, and AI concepts in clear language and build credibility with both business and technical audiences.

What the job covers

  • Deliver assigned Genie consumption, bookings, and activation goals by prioritizing high-potential enterprise accounts and converting unactivated demand into production usage.
  • Increase the number of enterprise Genie opportunities that achieve executive-backed business validation and progress from an initial use case to repeatable production deployments.
  • Build and scale field plays around Genie, semantic models, trusted data, and line-of-business analytics that create measurable pipeline and usage growth.
  • Improve field execution by equipping account teams and specialists with repeatable guidance on use-case discovery, qualification, value articulation, demonstrations, and opportunity progression.
  • Establish a scalable engagement model across sales, solutions architecture, business-unit enablement, and partners that increases specialist-influenced pipeline and accelerates customer decisions.
  • Turn customer, field, and competitive feedback into clear product and go-to-market recommendations that strengthen Databricks’ position in business-facing analytics and AI.
  • Build internal and external executive credibility for Genie, increasing strategic sponsorship and expanding adoption across priority accounts.

Tools and skills named

Go to market
  • Customer success
  • Go-to-market
  • Quota
  • Solutions architecture
Data
  • Databricks2×

Words the posting leans on

  • genie7×
  • customer6×
  • business5×
  • data5×
  • experience5×
  • account4×
  • analytics4×
  • build4×
  • enterprise4×
  • field4×
  • adoption3×
  • cases3×
  • complex3×
  • line-of-business3×
  • production3×
  • sales3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched November 3, 2026 and last changed by Databricks on November 3, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.