SLSQ425R903
As Director, GTM Operations & Field Experience, you will be a key partner to the Global GTM Strategy & Operations & Field leadership teams, responsible for driving efficiency and enhancing effectiveness through process automation and tool optimization. You will continuously evaluate, improve, and implement tools & processes that enable our field, including Account Executives, Solution Architects, and other Field resources, to spend more time with customers, driving better results at scale. Working closely with cross-functional teams and stakeholders, including IT, you will solve operational challenges, break down silos, and enhance key components of the field experience. Driving simplicity is key!
In this role, you will be a trusted advisor to executive leadership, including the AVP of Field Operations and Excellence and Global VP, GTM Strategy & Operations, recommending and executing changes in an environment of rapid growth and increasing complexity in close collaboration with the our IT & data teams. You will focus on operational excellence, simplifying processes, and developing systems to support long-term success. You will influence regional and global leaders, acting as a proactive problem solver who can anticipate challenges and drive impactful, scalable solutions across our GTM organization.
Your mission: Lead the transformation of Field operations by automating processes, optimizing tools, simplifying systems, and driving efficiency and scalability to better empower our customer-facing teams in a fast-growing, complex environment.
Your Outcomes:
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 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.
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.
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Databricks, the data and AI company, helps data teams solve the world’s toughest problems.
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