Program Lead, AI Tooling

Databricks

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India First seen 2 days, 10 hours ago Last seen 9 hours, 58 minutes ago Greenhouse

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Job Description

AI Summary

• Lead the design, development, and rollout of AI-powered tools and workflows for Databricks' Professional Services organization to improve delivery quality and efficiency. • Identify high-impact AI use cases within PS workflows, build proofs of concept using Databricks and third-party tools, and scale solutions from prototype to production. • Requires 5+ years of technical program/product/solutions engineering experience with hands-on expertise in Python, SQL, LLMs, and ideally Databricks platform. • Collaborate cross-functionally with engineering, delivery teams, and operations to align strategy, drive adoption through workshops, and measure impact through tight feedback loops. • Role is based in India and emphasizes hands-on technical work, fast experimentation, and comfort with iterative MVP-style builds balanced with production-quality outcomes.

CSQ426R284

The Databricks Professional Services team accelerates our customers' outcomes and platform adoption through expert delivery, enablement, and innovation. As our customers scale their use of the Databricks Data Intelligence Platform, our mission is to guide them through the evolving data and AI landscape with speed, precision, and strategic insight. Our team includes architects, data scientists, engagement managers, and program leaders united by the pursuit of excellence, and the desire to build the most capable Data and AI services team in the industry.

About the Role:

We are hiring an AI Tooling Program Lead to lead the design, development, and rollout of AI tools and workflows across the Databricks Professional Services (PS) organization. This role is ideal for a hands-on technical program leader who thrives at the intersection of product thinking, fast experimentation, and field impact.

You will identify high-leverage AI use cases within PS, develop proofs of concept using the Databricks stack and/or third-party tools, and work closely with delivery and operations teams to scale solutions that improve the quality, efficiency, and speed of how we serve our customers.

This role will be based in India and will work closely with engineering partners to drive rapid iteration and implementation.

The Impact You Will Have:

AI Tooling Ownership & Execution

Identify and prioritize high-impact AI use cases across PS workflows (e.g., scoping, delivery execution, QA, proposal support)
Build and iterate on AI-powered internal tools and workflows using Databricks, Python, SQL, and relevant APIs
Evaluate, integrate, and extend third-party AI tools when appropriate
Drive roadmap planning and execution, from prototyping to production-scale adoption
Partner with internal stakeholders to ensure tools are intuitive, reliable, and widely used

Program Leadership & Implementation

Help shape the direction for AI tooling within Professional Services
Collaborate with cross-functional teams (engineering, field delivery, operations, and leadership) to align use cases and implementation strategy
Lead workshops, feedback loops, and onboarding sessions to drive adoption and iteration of tools
Ensure tight feedback cycles and continuous measurement of tool impact

What We Look For:

5+ years of experience in a technical program, product, or solutions engineering role
Proven ability to build internal tools, workflows, or automations that drive business value
Hands-on experience with data and AI tooling (e.g., LLMs, copilots, prompt engineering, RAG pipelines)
Strong proficiency in Python, SQL, and ideally Databricks notebooks and platform features
Ability to balance speed and quality, comfort with MVP-style builds and iterative improvement
Excellent communication skills and a collaborative mindset

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.

Skills

go python sql

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Job Information

Company:
Databricks
Location:
India
Job Type:
Internship
Experience Level:
Mid
Source:
Greenhouse
Status:
Active

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76 /100

Likely Active (76)

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