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AI Operations Team Lead - Scaled Prospecting

AI Operations Team Lead - Scaled Prospecting

Posted 4 hours ago

Job Description

SLSQ127R198

We are reimagining GTM at Databricks and are seeking an AI Operations Team Lead to drive execution excellence across our AI agent portfolio. This is not a traditional program management role. You'll scope, design, and ship AI agent workflows, with the balance of your time dedicated to field enablement and delivery management across agents and business segments.

The ideal candidate combines strong program management and leadership skills with executive communication excellence, deep technical acumen, and a proven track record of scaling operations in fast-paced environments.

Key Responsibilities:
Operational Leadership

Maintain and communicate product roadmap to stakeholders across Sales, Marketing, and IT organizations
Drive prioritization decisions and manage competing demands across regions (AMER, EMEA, APJ)
Own team JIRA board management, sprint planning, and delivery tracking across AI agent deployments
Establish and track team KPIs, ensuring alignment with business objectives
Build and iterate on agent workflows hands-on-prompt engineering, logic flows, integration design. This is a keyboards-on role.
Strategic Communication & Delivery
Create high-impact presentations for senior leadership
Translate technical AI capabilities into compelling business transformation narratives
Present quarterly business reviews and program performance updates to leadership
Design and deliver comprehensive enablement programs for ~2,000 global users
Partner with Seller Enablement teams to drive adoption and confident usage of AI tools

Program Management

Lead end-to-end lifecycle management for AI agent deployments from ideation through launch
Manage phased rollouts, UAT/QA processes, and technical troubleshooting
Coordinate deliverables amongst cross-functional teams including Technical Program Managers, Business Intelligence, and Engineering
Analyze conversion metrics, reply rates, and time-savings data to identify optimization opportunities
Drive continuous improvement through prompt refinement and workflow optimization

What We Look For:
Experience:

7+ years in sales operations, program management, or related field
3+ years leading teams or managing complex, cross-functional programs
Experience with AI/automation tools and sales technology stacks

Desired Skills:

Strong proficiency with JIRA, project management tools, and roadmap planning
Advanced data analysis capabilities (SOQL/SQL preferred)
Experience with sales systems (Salesforce, marketing automation platforms)
Familiarity with AI agent platforms and low-code/no-code solutions a plus
Exceptional executive presence with proven ability to create compelling slide decks and narratives
Strong stakeholder management skills with ability to influence without authority
Experience managing competing priorities across geographies and business units
Track record of translating technical concepts for non-technical audiences

Core Competencies:

Passion for AI innovation and GTM transformation
Strategic thinking with execution excellence
Data-driven decision making and analytical rigor
Proactive problem-solving with a continuous improvement mindset
Adaptability in fast-moving, ambiguous environments
This role is pivotal in scaling AI Operations at Databricks and transforming how our GTM organization operates. If you're a strategic leader who excels at both executive communication and operational excellence, we encourage you to apply.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipated utilizing 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.

Zone 1 Pay Range

$125,000—$171,950 USD

Zone 2 Pay Range

$112,600—$154,750 USD

Zone 3 Pay Range

$106,300—$146,200 USD

Zone 4 Pay Range

$100,000—$137,500 USD

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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