FEQ324R11

At Databricks we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Lakehouse platform. As a customer facing Product Specialist (APJ) , you will act as a Field Engineering conduit into Product Engineering & Management to drive the company wide goal of driving multi-product adoption within our customers and partners.

In addition, you must establish a trusted relationship with Product Engineering & Management through thought leadership and deep technical expertise on a specific product line area within the Databricks Lakehouse platform. You will own and drive adoption of the relevant product line and ensure a consistent product vision for FE for that product. You will act as a technical bridge between FE and PM and support enablement activities including leading and driving the relevant CoP group. The individual will be based in Bengaluru , working closely with stakeholders all across APJ.

The impact you will have:

• Build “trusted advisor” relationships with C-level executives in our top accounts/partners in APJ
• Help shape C-level thinking around radical simplification of data architecture and the role of the Lakehouse and Databricks vision in meeting their current and future data/AI needs.
• Proactively drive frequent C-level facing activities with our top accounts/partners to secure the platform decision in favour of Databricks Lakehouse architecture.
• Work closely with the Product Specialist organization to provide feedback to Product Engineering and Management based on the requirements of top accounts/partners
• Develop and deliver thought leadership content for major publications and Databricks events in APJ to win C-level mindshare
• Participate in executive briefings for top customers/partners
• Run a mentoring program focused on identifying FE APJ staff that can elevate into a CTO role over time and advise on Principal level promotions
• Maintain L200/300 capability and Professional level certifications across all Databricks products

What we look for:

• 10+ years in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Demonstrated ability to manage customer conversations and relationships at the C-level for relevant accounts/partners
• Ability to have business-focussed conversations with customer/partner executives and then credibly map that to a very technical conversation around solutions and features for technical audiences
• Proven ability to influence and persuade C-level stakeholders to align with the Databricks Lakehouse vision and adopt the Databricks Lakehouse platform.
• Experience collaborating and negotiating with Product Engineering and Specialists to ensure prioritization of products and features that will drive platform adoption in top APJ customers
• Recognized deep technical expert within the Data and AI Industry with specific expertise in Databricks Lakehouse products
• Track record of developing solutions that help Databricks scale in the form of blogs, webinars, press articles/interviews, and technical know-how to the FE community and beyond
• Ability to generalize field patterns into reference architectures and re-usable solutions
• Experience in technical and/or leadership coaching and mentoring
• Role model for all Databricks cultural principles

Benefits:

• Private medical insurance
• Accident coverage
• Employee's Provident Fund
• Equity awards
• Paid parental leave
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Business travel insurance

About Databricks

Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. 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.