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Strategic Hunter Account Executive, Digital Natives

Databricks · California; San Francisco, California · Remote · Active · $311,600–$428,450 / year · Greenhouse

Job facts

FieldValue
CompanyDatabricks
TitleStrategic Hunter Account Executive, Digital Natives
Normalized title-
Department / teamEnterprise Sales
LocationSan Francisco, CA, United States
Work modelRemote / Remote
Employment type-
Salary$311,600–$428,450 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-06 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Databricks.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Enterprise Sales.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyDatabricks
Sourcee76d888a-29e0-42cd-bf7d-e9482c0e5b5f
ATS providerGreenhouse

Description

Candidates in the listed location(s) are encouraged for this role: Remote - San Francisco As a Strategic Hunter Digital Native Account Executive at Databricks, you are passionate about selling to high-growth, venture-backed companies. You will sell to the most technologically advanced companies in the world. You know how to compress decision cycles by penetrating accounts fast and demonstrating the value to the customer. You love understanding a product in-depth and are passionate about communicating its value to Customers. You will be over strategic accounts, and will be responsible for closing new customers and growing consumption. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. The impact you will have: You will have a direct influence on the data strategy of the most disruptive companies today You will communicate account strategy to Databricks Senior Leadership on a regular basis You will allocate Databricks resources to break into new accounts and grow existing accounts Meet with C-Level Executives to Practitioner level to understand how Databricks can make an impact on business outcomes Exceed activity, pipeline, and revenue targets You will use a creative, fail-fast approach to selling and creating value for customers You will build a plan for success internally at Databricks and externally with your accounts What we look for: Passion for selling a highly technical product in the cloud 6+ years of experience with Open Source Technologies and build vs buy decision-making 6 -8 years of experience with Value Selling Methodologies A creative salesperson with a well-defined prospecting motion Sales experience within big data, Cloud, or SaaS sales Proven years of experience exceeding sales quotas Success closing new accounts 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 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 anticipates 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 $311,600 — $428,450 USD Zone 2 Pay Range $311,600 — $428,450 USD Zone 3 Pay Range $311,600 — $428,450 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook . 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.

Full job record

Job IDc33aa1150a516294e6d6a4f5d2a8e3c3ae2b3f0c
Org ID35d19e0b-26e9-43f3-ace9-4c7841dbe8ae
Source IDe76d888a-29e0-42cd-bf7d-e9482c0e5b5f
Board IDe76d888a-29e0-42cd-bf7d-e9482c0e5b5f
Providergreenhouse
Provider Job Key8537725002
TitleStrategic Hunter Account Executive, Digital Natives
Normalized Title
Statusactive
Activeyes
Location TextCalifornia; San Francisco, California
DepartmentEnterprise Sales
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionCA
CitySan Francisco
Salary RawPay Range $311,600 — $428,450 USD Zone 2 Pay Range $311,600 — $428,450 USD Zone 3 Pay
Salary Min311,600
Salary Max428,450
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://databricks.com/company/careers/open-positions/job?gh_jid=8537725002
Apply URLhttps://databricks.com/company/careers/open-positions/job?gh_jid=8537725002
First Seen At2026-05-29 22:42:59Z
Last Seen At2026-06-06 07:35:41Z
Last Checked At2026-06-06 07:35:41Z
Last Changed At2026-05-29 22:42:59Z
Inactive At
Source Posted At2026-05-06 18:07:23Z
Source Updated At2026-05-06 21:13:05Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=databricks/date=2026-06-06/2026-06-06T07-35-40-531Z-fb10084c965d4be1acb89ee334f202053cf0441b79f8cd34184484b9ba265f24.json
Event Fields
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  "last_changed_at": "2026-05-29T22:42:59.954Z",
  "active_status": "active"
}
Parsed Structured
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  "location": {
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    "region": "CA",
    "country": "United States",
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  },
  "salary_max": 428450,
  "salary_min": 311600,
  "inferred_at": "2026-06-06T07:35:41.888Z",
  "launch_scope": {
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    "location": {
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      "region": "CA",
      "country": "United States",
      "is_remote": true,
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  },
  "remote_policy": "remote",
  "salary_period": "year",
  "workplace_type": "remote",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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      "name": "Remote - California",
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  "language": "en",
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  },
  "metadata": [
    {
      "id": 9740521002,
      "name": "Company Assignment",
      "value": "Databricks, Inc.",
      "value_type": "single_select"
    },
    {
      "id": 24059030002,
      "name": "Career Page Posting Category",
      "value": [
        "Sales"
      ],
      "value_type": "multi_select"
    }
  ],
  "updated_at": "2026-05-06T17:13:05-04:00",
  "departments": [
    {
      "id": 4003092002,
      "name": "Enterprise Sales",
      "child_ids": [],
      "parent_id": 4001021002
    }
  ],
  "company_name": "Databricks",
  "requisition_id": 6409792002,
  "first_published": "2026-05-06T14:07:23-04:00",
  "application_deadline": null
}
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