Strategic Core Account Executive

Databricks · Los Angeles, CA

Open 2 days

Account Growth: you grow customers the company already has (upsell, cross-sell, renewals).

Base: Not disclosed
OTE: Not disclosed
Quota attainment: Not disclosed
Posted: 3d 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

Apply on Databricks →

The job

What you'd do

Grow sales to a small set of very large companies, many on the Fortune 500 list, by selling more data and AI tools to them. The job is remote in Los Angeles or San Francisco.

What you'd sell

Helps companies put all their data in one place and use it

When a company wants answers from its data, the numbers usually sit in dozens of separate systems. The problem is, pulling them together takes weeks, and by then the answer is old. Databricks keeps a company's data in one place where teams can run reports and build AI on it, so decisions get made on fresh numbers.

In plain English, from their own job posts. Something wrong? Tell me · More AI & data companies →

Who you'd sell to

Heads of IT, IT leaders, business unit leaders, program managers at big companiesIn their words: “Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.”

Where deals come from

Not stated in the posting.

The Braun Read

Proceed with caution

A few things here deserve a hard look before you spend time on it.

Pay: No pay listed at all.
Transparency: Says nothing about quota, attainment, deal size, territory or sales cycle. Ask about all five.
Time on market: Open 2 days.
Company hiring: Ramping up: posted 39 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.

Red lights

Pay. No pay listed at all.

Yellow lights

Same job posted many times. The company has 8 or more open postings with this exact title. Could be a big build-out, could be a revolving door. Ask how many reps they hired last year and how many are still there.

Green lights

None spotted.

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.
How many reps are you hiring for this, and how many from last year's class are still here?
Hiring a lot can mean growth, or people leaving.
2.
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.
3.
What percentage of reps on the team have been here more than 18 months?
Tenure shows whether people stay long enough to get paid.
4.
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.

Before You Apply

Find out where you fit, and where you don't, before you hit submit.

Why I built it this way ↓

Most résumé tools try to make you look like a match. I'd rather help you find out if you are one.

Nothing made up.
Nothing goes on your résumé that you didn't do. If a line would need a number you didn't give me, I ask. I don't guess. On Braun Board it's checked in code, not just promised.
Curiosity before conclusions.
If the job wants something your résumé doesn't show, I ask before I assume. Plenty of sellers have done the thing and just never wrote it down.
Sorting, not selling.
Some jobs won't line up with what you've done. Finding that out before you apply isn't a loss. It's an hour back, spent on a job that fits.
No score.
A match score tells you how well you copied their words. It doesn't tell you whether you'd be good at the job, or happy there.

It's the same way I teach selling. We don't control who says yes. We do control where we spend our time, and whether everything we say is true.

Josh

1 Is the job worth it?

Proceed with caution. A few things here deserve a hard look before you spend time on it.

No pay listed at all.

Might be worth asking about this before you spend an hour on a tailored résumé.

See the full Braun Read

2 Where you fit

Upload once, see where you fit on any job.

What people say about working at Databricks ↓

Got an offer from Databricks? Not sure about it?Ask me. I read every message myself. · JoshAsk Josh

Rather talk it through? Call or text me: 954-695-0844 (text)

Full posting

SLSQ128R66 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Candidates in the listed location(s) are encouraged for this role - Remote - Los Angeles - Remote - San Francisco As a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts, specifically in the CMEG space. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators. Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director of Enterprise Sales, you will map to enterprise clients under the CMEG umbrella. You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client The impact you will have: - Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners. - Drive value-based growth within the account. - Expand the Databricks footprint into new business units and use cases. - Exceed activity, pipeline, and revenue targets. - Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce. - Use a solution-based approach to selling and creating value for customers. - Promote Databricks’ Data Intelligence Platform powered by Apache Spark™ and Delta Lake - Prioritize opportunities and leverage appropriate resources. - Build a plan for success internally at Databricks and externally with your account What we look for: - You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight - Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion - Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts - The ability to simplify a technical capability into a value-based benefit - 7+ years of Enterprise Sales experience exceeding quotas in larger accounts - Managing a small set of enterprise accounts rather than a broad territory - Bachelor’s Degree 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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