
Databricks · Mountain View
SLSQ227R807 The GTM Strategy & Operations team works directly with Databricks' Sales Leadership to accelerate growth across the business. We empower senior lea...
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.
business judgment is irreducible, and design the right operating model for a high-volume segment
partner motions, AI-augmented prospecting. Challenge the operating norms built for a different scale.
on behalf of your leader.
opportunities and resolve business and data challenges
for the whole team.
your daily workflow as a multiplier. You think in terms of "how should this work be designed given AI?", not "how do we apply
AI to existing work?"
Strategy at a hyper-growth company, chief of staff at a growth-stage startup, and former consultants who have operational
experience. We are looking for individuals who thrive in environments where the playbook didn't exist yet, and you built it.
accurate exec-facing work, on-time delivery, status integrity, zero-defect output. You are able to spot discrepancies and trace
them to root causes; you won’t ship a number you can’t defend. Strategy and operations are equally weighted; you have to do
both.
much as a designer. The volume is real, and the work won't get done by deck-building.
strategic altitude, not just metric-watching.
scaled coverage, AL pilots, partner-led motions, programmatic exec engagement. You want to redefine the operating model, not
maintain it.
agents) and willingness to learn fast. Less about which tools you've mastered, more about how quickly you pick up new ones.
you build.
decks, exec summary docs, and quantitative business cases.
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
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.
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