Braun Board

Genie Global Sales Leader

Databricks · United States

Base
Not disclosed
OTE
Not disclosed
Posted
11d ago

Still open · checked 2h agoon Databricks's careers page

What Databricks sells

A database that runs live apps on company data

When a company wants to build a live app on its own data, it usually stitches together several separate tools, one for the database and others for analytics and AI. The problem is, those pieces don't fit together well, so older databases are hard to simplify or replace. Databricks Lakebase runs real-time apps directly on a company's existing data, so teams can move off legacy databases and add AI in one place.

In plain English, from their own job posts. Something wrong? Tell us

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The Braun Read

Ask hard questions

Too much is left unsaid. Make them answer before you invest.

Pay
No pay listed at all.
Transparency
Says nothing about quota, attainment, deal size, territory or sales cycle.
Pipeline
A mix of self-sourced pipeline and inbound or SDR help.
Time on market
Open 10 days.
Company hiring
Ramping up: posted 32 sales roles in the last 30 days. That many open roles can also mean churn. Ask how many reps are still there from last year.

Based only on what the posting says. Lights are a starting point for your first call, not a final judgment.

Questions to ask on the first call

Built from what this posting leaves out. How they answer tells you as much as what they say.

  1. 1.

    What percentage of fully ramped reps hit quota last year?

    OTE is what you could earn. This is how likely you are to earn it.

  2. 2.

    What are the base and the OTE for this role?

    No point investing hours before you know the number.

  3. 3.

    What's the annual quota, and how was it set?

    A quota built from real data is a target. Otherwise it's a hope.

  4. 4.

    How long is ramp, and what's the quota during it?

    Full quota on day one means you start behind.

  5. 5.

    Is the territory new or existing? Who had it before?

    An existing book is a head start. Greenfield means building from zero.

  6. 6.

    Why is this role open? Did someone leave, or is it new?

    New headcount is growth. A replacement means someone left. Ask why.

When the offer comes

Save these for later. They land better once they've said yes to you.

  1. 1.

    Can I see the full comp plan in writing, including clawbacks and accelerators?

    What's in writing is what gets paid. Read it before you sign.

  2. 2.

    Can I see the actual comp distribution for the team last year, not just the OTE?

    The spread shows what most reps really take home. OTE is just the target.

  3. 3.

    I'd be walking away from earned commission to join. Is there room for a sign-on bonus to help cover that?

    Leaving money behind is a fair reason to ask. The worst answer is no.

Josh's top five questions for any sales interview →

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The role

Leads a global team of Genie specialists selling conversational AI/BI to enterprise CIOs, CTOs and BI leaders. Focus is replacing legacy BI tools and land-and-expand adoption, with the leader also building the sales motion.

Enterprise · Mixed

Selling motion

Mixed

Who you're selling to

Buyer:
Business intelligence leaders, data leaders, CIOs and CTOsIn their words: “will help define how Databricks engages business intelligence leaders, data leaders, and non-technical business stakeholders at scale”
Company size:
Enterprise

Pipeline expectations

A mix of self-sourced pipeline and inbound / SDR support.

Compensation

The posting doesn't list pay.

What is not disclosed

This posting doesn't tell you:

  • Base salary
  • OTE
  • Quota size
  • Quota attainment
  • Average deal size
  • Territory
  • Sales cycle length

The questions above cover the big ones.

Full posting
SLSQ427R582 Global Genie Sales Leader We are looking for a highly strategic and execution-oriented Genie Global Leader to lead a team of specialists responsible for growing the Databricks Genie business globally. Databricks Genie extends the Data Intelligence Platform into conversational AI through Genie One, delivering a true AI co-worker for non-technical business teams and leaders. By grounding query accuracy in business context through the Genie One Ontology, Genie One enables enterprise decision-makers to effortlessly query, analyze, and extract trusted insights directly from governed enterprise data using natural language. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks consisting of legacy BI tools, static dashboards, and separate AI interfaces toward a unified, conversational data platform powered by enterprise context. You will lead a team of specialists partnering with Account Executives, Solution Architects, and Sales Leadership to help customers modernize their business intelligence, democratize data access across non-technical users, and operationalize conversational AI in production analytics workflows. This role requires both strong sales leadership and the ability to establish and scale a new sales motion across a global field organization. This is a highly visible global role across Sales, Product, and Engineering, and will help define how Databricks engages business intelligence leaders, data leaders, and non-technical business stakeholders at scale. The impact you will have: - Drive Revenue Growth - Build and exceed quarterly and annual consumption and booking targets for Genie - Develop pipeline across legacy BI migration, AI-driven business intelligence, and enterprise-wide data access opportunities. - Help customers replace or modernize legacy BI tools and point solutions by establishing Databricks as their primary conversational analytics platform - Establish repeatable sales plays that drive land and expand adoption - Lead and Develop a Specialist Team - Recruit, hire, and develop a high-performing team of Genie Sales Specialists - Coach the team on complex deal strategy, technical qualification, and executive engagement - Create a culture of accountability, customer focus, and operational excellence - Partner with regional sales leadership to integrate specialists into account plans and territory strategies - Strategic Customer and Partner Engagement - Establish executive relationships with corporate executives, CIOs, CTOs, Chief Architects, platform leaders, and technical decision makers - Position Databricks as an application data platform in addition to a data and AI platform - Support strategic customers pursuing application modernization or real-time digital transformation initiatives - Collaborate with cloud providers, SIs, and ISVs to accelerate adoption - Influence Product and GTM Strategy - Act as the voice of the field to Product and Engineering teams Provide structured feedback on customer requirements, competitive dynamics, and market adoption patterns - Partner with Product Marketing to refine messaging, positioning, and competitive differentiation - Help shape Databricks’ long-term AI/BI and enterprise data intelligence platform strategy What we look for: - 15+ years of experience in enterprise software, SaaS, cloud platform, or developer platform sales - 5+ years of experience leading high-performing enterprise sales or specialist teams - Demonstrated success building new categories or scaling new product businesses - Previous Sales experience in fast paced innovative start up companies in domains such as cowork, search and ai/bi and conversational ai. - Strong understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications - Experience selling into CIO, CTO, architecture, and platform engineering organizations - Ability to lead complex multi-stakeholder enterprise sales cycles - Proven record of exceeding revenue targets in highly competitive markets - Ability to translate technical platform capabilities into business value for executives and developers - Excellent communication and executive presentation skills About Databricks 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. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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