At Databricks, we’ve built the world’s best data and AI platform, which we call the “Data Intelligence Platform”. We helping thousands of customers every day make better use of their data to solve the world’s toughest problems. Today, the Databricks platform allows customers to accomplish data engineering, data science, machine learning, and data analytics on a single platform using the lakehouse architecture. 

We’re seeking a high-caliber individual with a strong technical background and prior technical sales experience to own the strategy and execution of our multi-product adoption strategy.  As a Field Engineering Leader, you’ll help scale our Specialist team and collaborate with product management to drive customer adoption of Databricks existing products and emerging products.

This position will partner closely with the Go-to-Market (GTM) team, Field Engineering, Sales & Customer Success, Professional Services,  and the Partners to scale the program.

• Lead a global team of subject matter experts that understand the product and the domain across ML/AI, Data Ingestion and Streaming, Data Warehousing and Data Governance .
• Work with GTM teams to formulate sales plays and strategies, product demonstrations, collateral, and tools to improve effectiveness.
• Provide operational support, including prioritization of field requests, reporting on current activities and outcomes, and driving process improvements.
• Provide direct support on opportunities, owning the win on key opportunities, and staying involved through implementation.
• Support enablement of internal account teams and SI partners.
• Become an expert in Databricks capabilities and tooling, understand their capabilities, strengths, and weaknesses. Engage partners and partner tooling on opportunities wherever appropriate.
• Support demand generation  events  such as webinars and workshops and blog posts
• Partner with Product Management on prioritizing and validating new product features and customer blockers

• Strong organization strategy and operating experience - the ability to build a team, set a vision, build execution accountabilities to land that vision, measure the impact of that execution and adjust real-time based on results and stakeholder feedback
• Ability to attract, hire and retain the top technical talent at Databricks and externally to build a diverse and impactful organization
• Comfortable in both a direct line and dotted line leadership role to deliver global accountabilities and consistency with product-related functions across Field Engineering
• Deep knowledge of Databricks products and GTM strategies. Does not need to be a level-500 on each individual product line, but has to be strong enough to identify the Product capabilities and associated gaps/customer blockers, as well as pressure test Product & Marketing strategies, customer targeting, use case identification prioritization, etc.
• Customer-facing experience; critical to be comfortable with customer engagements and value selling
• Ability to engage and influence Product strategy through the PRISM framework and building / landing Product Managers/Leadership engagement, feedback, and execution strategies
• Hands-on experience selling, architecting, or implementing  cloud-native Data and AI solutions
• Experience building or scaling a program
• B.S. in Computer Science or equivalent experience in software and/or a technologically relevant field
• Open to travel up to 25% per month; full availability to work across all US timezones with primary accountabilities on Pacific Standard Timezone. 

• Medical, dental, vision
• 401k Retirement Plan 
• Unlimited Paid Time Off
• Catered lunch (every day), snacks, and drinks 
• Gym reimbursement 
• Employee referral bonus program 
• Awesome coworkers 
• Maternity and paternity plans 

Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Salesforce, Viacom, Shell, and HP.  For more information, visit www.databricks.com.

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.

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.