Specialist, AI Operations Program Manager at Databricks

SLSQ327R184

Job OverviewWe are reimagining GTM at Databricks and are seeking an AI Operations Program Manager to own the full lifecycle of AI agent deployments. You'll own the process from ideation through design, QA, field enablement, and daily operations. You'll bridge senior sales leadership and technical teams, ensuring AI agents deliver measurable business impact.

The ideal candidate possesses strong program management skills, deep technical acumen, an understanding of existing processes in the business, and a passion for scaling AI-powered solutions.

Key Responsibilities:

The Scaled Prospecting Ops Manager will own the end-to-end lifecycle for AI agent implementations, managing every phase except technical build:

Process Optimization: Identify inefficiencies and business areas where agents can drive performance improvement.

Documentation & Governance: Develop Business Intent Docs, define how agents should behave through SOPs, understand and apply governance frameworks, and provide detailed process documentation for agent behavior, decision logic, and systems integration.

QA & Deployment Management: Lead UAT/QA, execute SOQL queries for data validation, coordinate testing, manage phased rollouts, and conduct technical troubleshooting.

Cross-Functional Collaboration: Work closely with sales, marketing, and IT teams to ensure seamless integration of AI tools and alignment with business objectives.

Training & Field Enablement: Build comprehensive enablement materials, including training guides, documentation, FAQs, and playbooks, and design/deliver training programs to ensure confident adoption of AI solutions.

Performance Monitoring: Continuously monitor AI system performance using data analysis and custom queries. Resolve performance gaps through prompt refinement, workflow tuning, data quality improvements, and A/B testing to achieve target conversion benchmarks.

Continuous Improvement: Define, track, and optimize KPIs (task accuracy, resolution speed, user satisfaction) by building dashboards (SOQL/SQL), implementing A/B testing, and conducting regular business reviews.

What We Look For:

Experience: Minimum of 5 years in sales, sales ops or a related field with at least 2 years of experience managing tools or technologies.

Technical Skills: Strong understanding of sales reporting methodologies and data analysis tools. Agent building, SOQL, and Python experience is a plus.

Leadership Skills: Proven ability to influence without authority. Demonstrated ability to manage projects effectively, and drive change within an organization.

Analytical Mindset: Strong analytical skills with the ability to interpret complex data sets and derive actionable insights.

Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders and translate business needs to technical teams

A proactive approach to problem-solving with a focus on continuous improvement

Adaptability & Curiosity:
- Willingness to learn new low-code or no-code platforms, adapting quickly to evolving technologies and user requirements.
- Passion for staying current with AI advancements that simplify AI deployment, configuration, and management.

This role is pivotal in transforming GTM through innovative AI solutions. If you are a strategic thinker with a passion for technology and sales optimization, 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

$81,100—$111,550 USD

Zone 2 Pay Range

$73,000—$100,450 USD

Zone 3 Pay Range

$69,000—$94,800 USD

Zone 4 Pay Range

$64,900—$89,200 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.

Specialist, AI Operations Program Manager

Job Description