Industry GTM Lead for AI & Solutions
Remote - New York
SLSQ226R187
Databricks pioneered the concept of the lakehouse to combine and unify the best of data lakes and data warehouses. Now, Databricks is establishing a new category, Data Intelligence, to revolutionize data management by employing AI models to deeply understand the semantics of enterprise data.
To achieve these goals, Databricks must effectively connect the Data Intelligence Platform to customers’ strategic priorities. Industry GTM has become a critical lever in creating that connection to the business, delivering data intelligence for customers, and winning the category that Databricks is creating.
As a Global Industry Go-To-Market (GTM) Lead for AI & Solutions, you will play a pivotal role in evolving our Industry GTM strategy and unlocking this potential for Databricks. This role offers an exciting opportunity to accelerate growth across priority verticals, solution areas such as Marketing and Cyber, and key global markets. You will shape overarching GTM strategies, create compelling executive content, and propel adoption of new innovations, including Generative AI.
We seek a passionate, self-starter who can anticipate needs, collaborate across teams, and drive forward with solutions. The ideal candidate will combine strong strategic mindset, problem-solving skills, and analytical capabilities to drive insights and recommendations on future approaches to the Industry GTM.
The impact you will have:
Strategic GTM Leadership
- Develop and refine Industry GTM strategies, sales plays & programs, and executive content by synthesizing cross-functional stakeholder input, Customer / Executive insights and market trends.
Executive Content & Engagement
- Craft compelling, executive-level content that demonstrates Databricks differentiated capability to drive meaningful business outcomes for CxOs and LoB/Functional Leaders
Data-Driven Insights & Analytics
- Surface GTM insights and recommendations for Industry Leaders, Sales Leaders, and Executive Leadership through data-driven analysis
- Institute a consistent framework for measurement and accountability for Industry GTM and its success in the Field and with Customers
Innovation & Market Expansion
- Expand Industry GTM into existing and emerging product areas such as Generative AI and Agent Systems
Global Alignment & Standardization
- Harmonize GTM strategies across subverticals, horizontal solutions, and regional teams to ensure cohesive execution at scale
- Champion new operating models and field enablement to embed Industry-first mindset more deeply into sales and field engineering
What we look for:
- Work Experience
- 10+ years in enterprise software or management consulting with a proven ability to develop and execute high-impact GTM strategies.
- Demonstrated track record of driving revenue growth and market penetration through innovative go-to-market approaches.
- Executive Communication Skills
- Exceptional ability to create and deliver executive-level presentations, positioning complex technical solutions in a clear, business-aligned manner.
- Adept at influencing Executive stakeholders and cross-functional leaders to take decisive action.
- Analytical Problem Solver
- Advanced analytical mindset for market research, competitive analysis, and performance measurement.
- Exceptional program management skills to coordinate complex, enterprise-wide GTM initiatives and cross-functional teams.
- Relationship Building & Influence
- Proven ability to influence without formal authority, forging strong relationships across functions, partners, and clients.
- Excellent interpersonal skills, capable of establishing credibility with technical, sales, and executive stakeholders alike.
- Technical Acumen in Data & AI
- Strong background in Data & AI technologies, with ability to translate technical capabilities into strategic business outcomes
- Proficiency in SQL or Python for data analysis and ad hoc insights is preferred.
- Education: Bachelor’s degree in Business, Engineering, Computer Science, or a related field; MBA or advanced degree highly preferred.
As the Global Industry GTM Lead for AI & Solutions, you will serve as a key architect of our market expansion, harnessing the immense potential of Data & AI to transform industries worldwide. This position offers a rare opportunity to blend strategic vision, executive influence, and hands-on leadership, driving innovation and shaping the next chapter of our global GTM strategy. If you are a seasoned business leader with a passion for cutting-edge technology and a drive to deliver measurable impact, we invite you to join us in redefining what’s possible.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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$134,800—$206,700 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, please visit https://www.mybenefitsnow.com/databricks.
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.
ApplyJob Profile
Annual performance bonus Comprehensive benefits Equity Pay Range Transparency Performance bonus Vision
Tasks- Create executive content
- Develop GTM strategies
- Drive data-driven insights
- Expand market presence
- Harmonize GTM across teams
AI AI technologies Analytical Analytics Apache Spark Communication Compensation Compliance Consulting Data Data analysis Data and AI Databricks Data-driven Data-Driven Insights Data Intelligence Data Management Delta Lake Enterprise Software Excel Executive Communication Field Engineering Generative AI GTM Strategy Hiring Influencing Interpersonal IT Leadership Marketing Market Research Market trends MLFlow Positioning Problem-solving Program Management Python Relationship building Sales Sales enablement Spark SQL Technical Solutions Training
Experience10 years
EducationBusiness Computer Science Engineering IT Marketing MBA Related Field
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9