Braun Board

New Business Enterprise Account Executive (Public Sector)

Databricks · London, UK

Base
Not disclosed
OTE
Not disclosed
Quota attainment
Not disclosed
Posted
4d ago

Why it matters: OTE tells you what you could earn. Attainment tells you how realistic it is.

Ask: “What percentage of fully ramped reps hit quota last year?”

Still open · checked just nowon Databricks's careers page

What Databricks sells

One place for company data and AI work

Many companies keep their data in lots of separate systems, which makes it hard to use that data to build AI. Databricks lets teams keep their data, AI work, and live apps in one place. Teams can run real-time apps on the same trusted data they use for AI, instead of juggling many tools.

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
Shares 1 of 5: quota, attainment, deal size, territory, sales cycle.
Pipeline
Mostly self-sourced. Great if you like outbound, rough if you don't.
Time on market
Open 4 days.
Company hiring
Ramping up: posted 22 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. Flags 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 percentage of reps on the team have been here more than 18 months?

    Tenure shows whether people stay long enough to get paid.

  3. 3.

    Has the comp plan changed in the last 12 to 18 months? What changed?

    A plan that changes every year means the goalposts keep moving.

  4. 4.

    Who sits with reps and reviews calls each week?

    Coaching is often what's behind a good or bad attainment number.

  5. 5.

    What are the base and the OTE for this role?

    No point investing hours before you know the number.

  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

Sell Databricks' Data and AI platform to a select group of UK&I Public Sector enterprise organisations. You win net-new logos through self-sourced prospecting, multi-stakeholder deal strategy, and full-cycle selling.

Enterprise · New Logo · Outbound

Selling motion

New Logo

Who you're selling to

Buyer:
Public Sector organisationsIn their words: “drive the adoption of Databricks across a select group of Public Sector organisations”
Industry:
Public sectorIn their words: “Experience navigating Public Sector procurement frameworks and mechanisms”
Company size:
Enterprise

Pipeline expectations

Mostly self-sourced. Expect a lot of outbound.

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
  • Sales cycle length

The questions above cover the big ones.

Full posting
SLSQ128R110 Do you want to help solve the world’s toughest problems with Data and AI? That’s what we do every day at Databricks. Reporting to the Head of Public Sector - Growth, you’ll partner with a team of accomplished Data, AI and industry specialists. Your mission is to drive the adoption of Databricks across a select group of Public Sector organisations. We’re looking for a proven Enterprise Account Executive to deliver net-new strategic business, bringing an informed point of view on Data and Advanced Analytics. Your insight will shape winning strategies and together with our teams and partners enable you to deliver exceptional value to customers. The impact you will have: - Assess your accounts and develop a strategy to engage all buying centres, driving deals forward and shortening decision cycles - Use AI tools every day to speed up account research, prepare for meetings and plan deals. You'll build with the Databricks platform yourself, so you understand what customers experience. - Use a solution-led approach to create meaningful value for new logo accounts - Identify and close quick wins while managing longer, complex sales cycles - Own a defined list of prospects in UKI and build strategies targeting all critical stakeholders. Build and self-source your own pipeline, and run the full sales cycle from first prospecting to close, keeping your pipeline clean and well maintained - Support broader customer transformation goals through strategic partnerships, well-scoped services, training, and targeted Executive engagement - Build strong value throughout the sales process to guide successful negotiation - Orchestrate cross-functional teams to maximise impact across your ecosystem - Own the consumption narrative, using demand plans to surface high-value use cases in each account - Stay customer-centric by delivering both technical and business outcomes through the Databricks Intelligence Platform - Comfortable joining technical conversations alongside Solutions Architects, and able to position Databricks clearly against competitors (technical knowledge can be developed) What we look for: - Strong new business development background with a track record of closing and exceeding quota in Public Sector accounts. including building territories and winning new logos, not just managing an inherited book. - Experience navigating Public Sector procurement frameworks and mechanisms - A Builder + AI First mindset: you actively use AI tools to improve your productivity and the quality of your work, and you can show examples beyond simply knowing about them - Background in Cloud software, open source technology, and/or the Data and AI space, ideally selling into data, analytics, AI or digital transformation programmes - Experience driving adoption of usage-based SaaS services and co-selling with AWS, Azure or Google Cloud - Coachable, curious and committed to continuous learning, with evidence such as certifications or cross-functional projects. - Ability to identify key use cases and buying centres to expand Databricks’ value within an organisation - Experience selling to business-line leaders, the C-suite and economic buyers. You can explain business outcomes and ROI, not just product features, and you present with confidence to executives. - Experience building strong champions, collaborative teams and productive partnerships - Understanding of consumption-based land-and-expand sales models - Familiarity with robust sales methodologies (e.g., account planning, MEDDPICC, Value Selling) and accurate forecasting - Demonstrated contributions and a consistent track record of success - Bias for action and a strong sense of ownership. You take initiative well beyond carrying a number - A collaborative seller who leads deal teams and mentors others, with a record of success in high-performance, high-accountability cultures - Eligibility for SC clearance (existing clearance is an advantage) 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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