AMER Energy Industry Go-To-Market (GTM) Leader

Posted 2 Months Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
353K-486K Annually
Expert/Leader
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Senior GTM leader for Databricks' Energy industry in AMER. Set AI vision with executives, drive GTM strategy and pipeline across oil & gas, power, renewables and mining, align cross-functional teams, produce thought leadership, and support customers through regular travel.
Summary Generated by Built In

SLSQ327R791

AMER Energy Industry Go-To-Market (GTM) Leader

Databricks is looking for a bold, strategic, and execution-oriented senior executive to lead our Energy industry go-to-market (GTM) motion across the AMER region. As a key member of our global industry GTM team, you will shape and drive how Databricks engages the energy sector in one of the world's most dynamic markets. Reporting to the Global GTM Head for Industrials, you will collaborate deeply on a day-to-day basis with AMER sales, field engineering, and GTM leadership.

You will operate at the intersection of industry expertise, customer engagement, and commercial strategy, helping Databricks win in a market where data and AI are redefining how energy systems are built and optimized to support future economic growth. If you bring deep industry domain knowledge, the ability to set the vision for AI at the world’s largest energy companies, and a proven track record of harnessing the transformative potential of data and AI to drive real business value, we want to hear from you.

Key Responsibilities

  • Strategic Vision & Executive Engagement: Lead AI vision-setting engagements with top energy accounts, advising CEOs and executive teams on strategic adoption and impact. Cultivate and maintain executive-level relationships with customers, partners, and key industry stakeholders across the AMER region.
  • GTM Strategy & Pipeline Growth: Lead the strategic and operational execution of GTM initiatives across the energy sector in AMER, including oil and gas, power and utilities, renewables, and mining. Drive pipeline growth and accelerate customer adoption. Define, track, and report on key performance indicators (KPIs) for GTM initiatives, continuously refining plans based on data and field insights.
  • Cross-Functional Alignment: Build strong alignment with AMER sales, field engineering, marketing, partnerships, and product teams. Develop and execute industry-specific GTM programs that convert market opportunity into revenue.
  • Thought Leadership & Market Analysis: Develop and deliver thought leadership through industry publications, conferences, and executive briefings to position Databricks as the platform of choice for the industry. Provide ongoing analysis of market trends, competitive dynamics, and customer needs to sharpen our industry strategy and identify high-value growth opportunities.
  • Travel regularly to support customer meetings, executive engagements, and industry events.

Qualifications

  • Education: Bachelor's degree in Business, Engineering, or a related field. An MBA or equivalent post-graduate qualification is strongly preferred.
  • Industry Leadership: 10+ years of leadership experience in the energy sector. This must include at least 5 years in a GTM, strategy, or business development role within strategic consulting (ex-MBB preferred) and product-led technology companies.
  • Commercial Success: Proven success taking technology products or platforms to market with a clear industry focus and measurable commercial outcomes.
  • Domain Expertise: Expert-level domain knowledge in one or more of the following areas: subsurface intelligence, industrial AI, energy and commodity trading, and grid resilience. Familiarity with key energy industry standards bodies and frameworks. Strong understanding of the modern data and AI technology landscape and how it applies to every aspect of the energy sector.
  • Soft Skills & Collaboration: Demonstrated ability to influence and lead cross-functional teams without direct authority in a matrixed, fast-moving organization. A track record of building trusted relationships with senior executives. Exceptional communication skills - both written and verbal - with the ability to translate technical and data concepts into compelling business narratives for executive audiences.

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
$353,400—$486,000 USD
Zone 2 Pay Range
$353,400—$486,000 USD
Zone 3 Pay Range
$353,400—$486,000 USD
Zone 4 Pay Range
$353,400—$486,000 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.

Skills Required

  • Bachelor's degree in Business, Engineering, or related field
  • MBA or equivalent post-graduate qualification
  • 10+ years of leadership experience in the energy sector
  • At least 5 years in a GTM, strategy, or business development role within strategic consulting and product-led technology companies
  • Ex-MBB (top-tier management consulting) experience
  • Proven success taking technology products or platforms to market with measurable commercial outcomes
  • Expert-level domain knowledge in subsurface intelligence, industrial AI, energy and commodity trading, or grid resilience
  • Familiarity with key energy industry standards bodies and frameworks
  • Strong understanding of modern data and AI technology landscape
  • Demonstrated ability to influence and lead cross-functional teams in a matrixed organization
  • Exceptional written and verbal communication skills for executive audiences
  • Willingness to travel regularly for customer meetings, executive engagements, and industry events

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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