HomeJobsDatabricks › Sales Operations

Strategy & Execution Manager

Databricks Mountain View, California; San Francisco, California Full-time Sales Operations Posted Jun 25, 2026
Apply Now →

What it’s like to work at Databricks

Data & AI Platform · San Francisco

4.1
Employee Rating
3.9
Work-Life Balance
761
Open Roles
eng-drivenlearningequitydiverseproduct-impact

What employees love

  • Engineers who built Spark, Delta Lake, MLflow — deep technical pedigree
  • Strong compensation and equity packages consistently above market

What could be better

  • Hypergrowth means org changes are constant — teams restructure frequently
  • Some legacy Spark-era tech debt that can slow down new features
View full Databricks culture profile →

About the Role

SLSQ227R807

The GTM Strategy & Operations team works directly with Databricks' Sales Leadership to accelerate growth across the business. We empower senior leaders with data-driven insights, scalable systems, and operating mechanisms to shape the high-level strategy and execute in an extremely high-growth environment.

We are looking for a Strategy & Execution Manager to serve as the business partner for the EE/Startup leadership team under the AMER Enterprise & Emerging Business BU. This is a critical and visible role to shape the GTM strategy of Databricks' highest-velocity, highest-volume segments, where the operating model has to look meaningfully different from larger-enterprise motions.

In this role, you will conduct in-depth analyses, build scalable systems for stakeholders, own operational cadences for the EE/Startup team, and redesign how strategy and ops work gets done in the age of AI. You must be able to deliver the day-to-day operational work with exceptional rigor, while also never losing sight of the long-term strategy and how the business operating model needs to evolve.

Alongside the EE/Startup leadership, you'll partner across the broader AEEB and StratOps team on cross-segment initiatives, ensuring we maintain collaboration across the BU and share best practices.

The ideal candidate is a self-starter with endless curiosity who can work cross-functionally to tackle complex problems end-to-end. We're looking for someone who is technical, AI-fluent, operationally rigorous, strategic about how high-volume GTM businesses should operate, and biased toward redesigning workflows from first principles rather than maintaining legacy ones.

This is a unique opportunity to reshape how Databricks thinks about high-volume GTM businesses, and to set the blueprint for the industry. The work will define what scaled, AI-native GTM operations look like at one of the fastest-growing companies in tech.

The impact you'll have

What we look for

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
$162,900$223,950 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.

Similar Roles

More at Databricks
Manager, Partner Strategy & Operations
Bengaluru, India; Mumbai, India
Senior Manager GTM Strategy & Operations (Partners)
USCA
Strategy & Execution AI Specialist
Mountain View, California
Chief of Staff, to the CPO
San Francisco, California
Director, Finance Transformation, FP&A
Bellevue, Washington; Denver, Colorado; Mountain View, California; San Francisco, California; Seattle, Washington
Similar roles at other companies
Customer Program Manager, Executive Briefing Center
Anthropic · San Francisco, CA | New York City, NY
Technical Program Manager, AI Delivery for Public Sector & Defence
Cohere · Ottawa
Accounting Manager (R2R)
Mistral AI · Paris
Program Manager, Safety
OpenAI · San Francisco
Technical Program Manager, Agents Innovation - 12 Month FTC
Google DeepMind · London, UK

Frequently Asked Questions

What is the work-life balance like at Databricks?
Databricks has a work-life balance score of 3.9/5 based on employee reviews. This is about average for the AI/tech industry.
What is Databricks’s culture like?
Databricks is characterized by these culture values: eng-driven, learning, equity, diverse, product-impact. Based on employee reviews, the company has an overall rating of 4.1/5. Engineers who built Spark, Delta Lake, MLflow — deep technical pedigree
How many open roles does Databricks have?
Databricks currently has 761 open roles across departments including engineering, product, sales, and more. Roles are refreshed daily from their careers page.
Is this role remote-friendly?
This role is located in Mountain View, California; San Francisco, California. Check the job description above for specific location and remote work details.
Apply for this role at Databricks →