Braun Board

CustomerLake Sales Specialist

Databricks · United States

Base
Not disclosed
OTE
Not disclosed
Quota attainment
Not disclosed
Posted
6d 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 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

More AI & data companies →

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 5 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 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 →

Going for your first AE role? Get the free interview kit → 24 questions, what good and bad answers sound like, and an offer comparison sheet.

Got an offer from Databricks? Not sure about it?Ask me. I read every message myself. · JoshAsk Josh
+ Add offer details (optional)

Goes straight to my inbox. I never share it with employers or recruiters.

The role

Sell CustomerLake customer data, AI, and marketing activation software to enterprise and strategic CMOs and marketing, CRM, and data leaders. Build pipeline and close deals alongside regional Account Executives.

Enterprise · Mixed

Selling motion

Mixed

Who you're selling to

Buyer:
CMOs, CRM leaders and marketing operations teamsIn their words: “Engage CMOs, CRM leaders, and marketing operations teams around retention, personalization, campaign performance, and customer lifetime value.”
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
SLSQ427R663 CustomerLake Sales Specialist United States Multiple Locations Databricks is hiring a CustomerLake Sales Specialist to help enterprises transform customer experiences for the agentic AI era. CustomerLake brings customer data, AI, and marketing together to power trusted customer profiles, audience activation, and personalized experiences. As one of the first members of the CustomerLake specialist sales team, you will help build this business. You’ll partner with regional Account Executives to drive adoption across enterprise and strategic accounts, engaging CMOs and their organizations alongside data and technology leaders. The impact you will have - Grow the business: Build pipeline and drive CustomerLake revenue, adoption, and consumption alongside regional Account Executives. - Win marketing buyers: Engage CMOs, CRM leaders, and marketing operations teams around retention, personalization, campaign performance, and customer lifetime value. - Lead opportunities through close: Coordinate discovery, customer evaluations, business cases, and negotiations with marketing and technical stakeholders. - Shape the sales approach: Turn early wins and customer feedback into repeatable sales plays, stronger messaging, and product insights. - Enable the broader field: Equip account teams and partners to identify CustomerLake opportunities and communicate its value. What we look for - 7+ years of enterprise SaaS sales experience, with consistent quota achievement and success closing complex deals. - Proven marketing technology sales experience, including selling directly to CMOs and across their organizations—particularly VPs of CRM, marketing operations, and customer engagement leaders. - Marketing and customer data fluency: Understanding of customer profiles, segmentation, activation, personalization, and how marketing teams evaluate investments. - Value-based selling: Ability to build quantified business cases and align marketing buyers with data, IT, security, and procurement teams. - Collaborative execution: Experience developing and winning opportunities alongside core Account Executives and technical specialists. - Experience building a business: Success establishing a new territory, product business, or sales approach while working through ambiguity. - A bachelor’s degree or equivalent relevant experience. Preferred qualifications - Experience selling CDPs, customer engagement, personalization, or customer data activation software into large enterprises. - Familiarity with Databricks, cloud data platforms, consumption-based sales, and AI applications in marketing. - Experience developing joint opportunities with technology partners, systems integrators, or marketing services firms. Standard Databricks U.S. recruiting language and the approved compensation range to be appended. 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.
Apply →