Braun Board

AI Sales Director

Databricks · San Francisco, CA

Base
Not disclosed
OTE
$272K–$374K
Posted
5h ago

Still open · checked 2h agoon 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

More AI & data companies →

The Braun Read

Worth a look

Solid on the basics. Use the first call to fill in the gaps.

Pay
OTE is listed. Ask what the base is.
Transparency
Says nothing about quota, attainment, deal size, territory or sales cycle.
Pipeline
Mostly self-sourced. Great if you like outbound, rough if you don't.
Time on market
Brand new.
Company hiring
Ramping up: posted 29 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 flags

None spotted.

Green flags

  • Publishes OTE. It tells you the on-target earnings up front. Most postings don't.

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's the base, and how is the rest paid out?

    OTE without a base doesn't tell you what you can count on.

  3. 3.

    Who's the economic buyer, and who else is in the deal?

    Selling to a CFO and selling to a developer are different jobs.

  4. 4.

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

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

  5. 5.

    What share of last year's closed deals did reps source themselves?

    Shows how much pipeline you'll have to build on your own.

  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.

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The role

Sell Databricks AI platform capabilities (AI Gateway, Agent Bricks, training/serving) to strategic enterprise accounts. Win executive-backed technical validation, move pilots to production, and build repeatable sales plays.

Strategic · Mixed · Outbound

Selling motion

Mixed

Who you're selling to

Buyer:
Not stated in the posting.Ask: “Who's the economic buyer, and who else is in the deal?”
Company size:
Enterprise

Pipeline expectations

Mostly self-sourced. Expect a lot of outbound.

Compensation

$272K–$374K OTE

What is not disclosed

This posting doesn't tell you:

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

The questions above cover the big ones.

Full posting
SLSQ427R457 We are looking for a Director, AI Sales (IC) to grow Databricks’ enterprise AI business and shape how we take AI to market. You will work directly with executives and technical teams to win strategic opportunities, get AI applications into production, and expand customer usage. You will also turn what works with customers into sales plays the broader field can execute, with direct influence on our AI product priorities and go-to-market strategy. The impact you will have - Deliver assigned AI consumption, bookings, and activation goals by prioritizing high-potential strategic accounts and converting underserved or unactivated demand into production usage. - Increase the number of enterprise AI opportunities that achieve executive-backed technical validation and progress from experimentation to repeatable production workloads. - Build and scale field plays around priority AI platform capabilities including AI Gateway, AI/ML training and serving infrastructure, Agent Bricks for custom agent development, etc. Creating measurable pipeline and consumption growth. - Improve field execution by equipping and enabling account teams and specialists with repeatable guidance on AI use-case discovery, qualification, value articulation, pricing, sizing, 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 the enterprise AI market. - Build internal and external executive credibility for Databricks AI, increasing strategic sponsorship and expanding adoption across priority accounts. What we look for - Highly motivated enterprise sales or consulting experience in AI platforms, AI infrastructure, machine learning, developer platforms, or related technical software, with a track record of delivering growth against measurable goals. - Experience creating go-to-market strategy in an emerging or ambiguous technical market, including the ability to prioritize across a broad, changing account and opportunity landscape. - Deep working knowledge of enterprise AI architecture and the platform capabilities required to build, deploy, govern, and scale models, agents, and AI applications. - Demonstrated ability to earn technical approval and executive sponsorship through workshops, onsite engagements, business cases, and clearly defined validation paths. - Experience creating field enablement and repeatable GTM plays that improve how sellers qualify, position, price, size, and advance complex technical opportunities. - Ability to influence internally as well as externally, aligning sales, solutions architecture, business-unit leaders, enablement teams, and partners around a common AI growth strategy. - Self-directed, credible, and comfortable operating without a predefined account list or fully formed playbook while maintaining disciplined prioritization and execution. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $272,000-$374,000 USD Zone 2 Pay Range $272,000-$374,000 USD Zone 3 Pay Range $272,000-$374,000 USD Zone 4 Pay Range $272,000-$374,000 USD 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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