{"id":2029614,"url":"https://alion.io/job/databricks-strategic-account-executive-space-force","title":"Strategic Account Executive, Space Force","company":{"id":15,"name":"Databricks","domain":"databricks.com","url":"https://alion.io/company/databricks","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":846,"ghost_share":0.265,"stale_share":0,"repost_share":0.004,"time_to_fill_p50_days":76,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Sales","role_family":"Sales","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":272000,"max":374000,"currency":"USD","period":"year","gross":null,"usd_annual":374000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Instagram","optional":true},{"name":"LinkedIn","optional":true},{"name":"YouTube","optional":true}],"status":"live","first_seen_at":"2026-10-07T12:57:23Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-30T09:23:21Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":21},"description":"SLSQ427R821\nWhile candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\nAs we continue our rapid expansion, we are seeking a dynamic, results-oriented Strategic Hunter Account Executive to join our DoW team supporting Space Force.\nIn this pivotal role, you will own the account. This is a high-visibility opportunity to deepen relationships, explore new mission avenues, and deliver transformative outcomes within the accounts. Reporting to our Senior Director of Enterprise Sales, as a Strategic Hunter Account Executive at Databricks, you will focus on identifying, engaging, and securing new opportunities within the accounts.\nYou are a true hunter - establishing executive-level connections, uncovering untapped potential, and positioning Databricks as the premier platform for data, analytics, and AI innovation.\nYou will be leveraging your extensive hunting expertise, along with your solutions sales experience in selling technical solutions in data/AI, advanced Analytics to inspire the client’s vision and help shape how they leverage these technologies to drive business outcomes. Your success will be measured by your ability to generate demand, close high-value deals, and expand Databricks’ footprint within the accounts.\nThe impact you'll have:\nLeverage your expertise to identify new opportunities and create use cases that demonstrate Databricks’ value and impact.\nUse your network and strong relationship skills to broaden our presence within complex organizations-engaging key decision-makers and trusted partners to drive growth.\nDevelop structured account plans that address your client’s business priorities and position Databricks as a long-term digital transformation partner.\nDraw on your experience selling cloud-based solutions to navigate enterprise cycles, secure executive sponsorship, and deliver beyond customer expectations.\nWork closely with Databricks teams and selected partners to deliver tailored solutions that meet the specific needs of the customers.\nApply your sales expertise to close sophisticated business and drive clear, measurable results within the accounts.\n What we look for:\nDemonstrated passion and experience in selling complex, technical cloud solutions, with the drive to understand and translate advanced technology into mission outcomes.\nExtensive Hunting experience and understanding of the complexities and nuances of strategic accounts. A track record of selling into Large Enterprise accounts is essential.\nProven hands-on experience working with open source technologies, and a strong background in advising on build-versus-buy decisions for enterprise clients.\nProven track record in selling big data, AI/Analytics solutions, with expertise navigating multi-stakeholder enterprise environments.\nAn understanding of, or experienced in selling consumption model solutions is highly desirable.\nExperience of applying value-based selling methodologies, consistently positioning technology solutions around measurable customer impact and ROI.\nCreative, resourceful sales professional with a structured and proactive prospecting motion-capable of building a sustainable pipeline from scratch.\nConsistently exceeded sales quotas, showing a results-driven approach and commitment to surpassing ambitious targets.\nGrit, resilience, and tenacity-excited by the challenge of opening greenfield accounts, building new relationships, and driving growth in untapped territories\nPay Range Transparency\nDatabricks 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.\nZone 1 Pay Range\n$272,000—$374,000 USD\nZone 2 Pay Range\n$272,000—$374,000 USD\nZone 3 Pay Range\n$272,000—$374,000 USD\nZone 4 Pay Range\n$272,000—$374,000 USD\nAbout Databricks\nDatabricks 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.\nBenefits\n 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.\nOur Commitment to Diversity and Inclusion\nAt 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.\nCompliance\nIf 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.","description_format":"text","description_chars":6128,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Space Defense","Query Engines & Big Data Processing","Data Warehouses & Lakehouses","MLOps"],"lifecycle":[{"event":"open","at":"2026-10-07T13:52:49Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 517 · green card filings: 130","filings_12m":517,"filings_prev_12m":400,"green_card_filings_12m":130,"median_offered_wage_usd":157253,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0},{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker, Senior or Specialist Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker; 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