At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.

Do you excel at driving operations at scale? Are you adept at anticipating the needs of customers and driving process improvements to ensure their success? Are you passionate about the cloud and building relationships across organizations? If you are, then join us on the cutting edge at Databricks!

We're hiring for Databricks India's first ever Technical Program Manager, to create and guide processes across our Engineering organization in India. You'll cultivate and expand our relationships with the largest cloud computing providers and building the foundations for the Databricks customer experience.

The impact you will have:

• Working closely with our engineering teams and cloud partners to ensure Databricks solutions are engineered for reliability, scalability, and security - all while keeping operations top of mind
• You'll guide the direction of a cross-cloud program, set engineering goals and launch programs at scale
• You'll be front and center of organizing controls, governance and standards across our infrastructure to achieve product stability and at least four nines of uptime

What we look for:

• 6+ years of technical program/project/relationship management experience
• Experience leading cross-functional teams to complete projects with multiple dependencies and constraints
• Experience defining projects, identifying risks, managing cost, coordinating scope, identifying dependencies, scheduling and deploying new products and features
• Experience creating and cascading processes through an organization
• Knowledge of SQL
• Experience using Jira

Preferred Qualifications:

• Knowledge of product development process (PDP) and lifecycle
• Experience with large scale software and cloud native infrastructure
• Previous hardware or software development experience is a plus

Benefits

• Benefits allowance
• Employee's Provident Fund
• Equity awards
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Business travel insurance
• Paid Parental Leave

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.