Director, Americas Sales Finance

Posted 2 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
224K-308K Annually
Expert/Leader
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Leads Americas Sales Finance as a strategic partner to sales and finance executives. Analyzes regional performance, investments, pipeline, capacity, productivity, and operating leverage to guide growth and profitability decisions. Builds complex financial and operational models, translates data into executive recommendations, partners with Sales Strategy and Operations, and represents Americas insights in broader GTM decisions. Also develops and leads a high-performing finance team.
Summary Generated by Built In

GAQ427R216

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

Databricks is looking for an exceptional Director, Americas Sales Finance to join the GTM Finance team in the FP&A organization. You will serve as a trusted advisor to Americas Sales and Finance leadership, helping the business make data-driven investment decisions, optimize field capacity, and scale efficiently toward long-term growth and profitability.

As a finance leader with experience in high-growth environments, you will combine strong business partnership, financial analysis, and executive communication. You will solve ambiguous problems, use first-principles thinking, and translate complex operating data into clear recommendations for senior leadership.

The impact you will have:

  • Serve as the strategic Finance partner to Americas Sales leadership, providing financial insight and recommendations on growth priorities, investments, and business performance
  • Analyze regional performance against core KPIs, identify risks and opportunities, and translate operating trends into clear executive-level insights, and actions across topline performance and investments
  • Partner closely with Sales Strategy and Sales Operations to connect operating plans, pipeline, coverage, productivity, and other leading indicators to financial outcomes
  • Bring the Americas perspective into broader GTM and Finance decisions, surfacing regional risks, opportunities, and implications for the company
  • Expand influence in regional investment decision making, developing analyses and recommendations on trade offs across segments, geographic, coverage models, specialist motions, and other GTM initiatives
  • Develop a high-performing team and foster strong partnerships across Finance and GTM

What we look for:

  • Bachelor's Degree in Business, Economics, Accounting, Finance, or an equivalent quantitative field
  • 10+ years of relevant experience in FP&A, corporate finance, management consulting, investment banking, or related roles; experience in enterprise software, SaaS, cloud, or consumption-based businesses strongly preferred
  • Business Partnership: proven ability to build trusted relationships with senior Sales and Finance leaders and influence business decisions through strong financial judgment
  • Financial Modeling: experience building and maintaining complex driver-based financial and operational models independently; advanced Excel or Google Sheets skills required
  • GTM Acumen: strong understanding of sales capacity, productivity, pipeline, coverage, resource allocation, investment ROI, and operating leverage in a high-growth environment
  • Data Analysis: ability to work with large datasets, identify the most important business drivers, and convert analysis into practical recommendations
  • Communication: strong executive presence with the ability to simplify complex issues and present compelling narratives, analyses, and recommendations to senior leadership
  • People Leadership: demonstrated ability to lead, develop, and retain high-performing teams
  • Curiosity and ownership to solve new problems independently, prioritize effectively, and operate with speed in a fast-moving environment

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
$223,800—$307,650 USD

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
$223,800—$307,650 USD
Zone 2 Pay Range
$201,400—$276,850 USD
Zone 3 Pay Range
$190,200—$261,450 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.

Skills Required

  • Bachelor's degree in Business, Economics, Accounting, Finance, or an equivalent quantitative field
  • 10+ years of relevant experience in FP&A, corporate finance, management consulting, investment banking, or related roles
  • Experience in enterprise software, SaaS, cloud, or consumption-based businesses
  • Ability to build and maintain complex driver-based financial and operational models independently
  • Advanced Microsoft Excel or Google Sheets skills
  • Strong understanding of sales capacity, productivity, pipeline, coverage, resource allocation, investment ROI, and operating leverage
  • Ability to analyze large datasets and convert findings into practical recommendations
  • Strong executive presence and communication skills for presenting complex analyses and recommendations
  • Demonstrated ability to lead, develop, and retain high-performing teams
  • Ability to build trusted relationships with senior Sales and Finance leaders and influence decisions
  • Curiosity, ownership, independent problem-solving, prioritization, and ability to operate in a fast-moving environment

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
  • Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
  • Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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