Sr. AI Operations Specialist - Sales Operations

Databricks is recruiting a Sr. AI Operations Specialist - Sales Operations to join the team in California or Illinois. The job is full-time and office based. Databricks lists pay of $125,000 to $171,950 a year.

The description below comes from Databricks's own job posting.

SLSQ427R538

The impact you will have:

Databricks' Sales Operations team is transforming how operational work gets done. We are shifting from manual, high-volume request processing to an AI-first operating model - where AI agents handle repeatable work autonomously and the team focuses on building, governing, and improving those systems. This role is central to that transformation.

You will own a portfolio of AI agent workflows that automate business-critical Sales Operations processes. You translate business requirements into agent designs, deploy them into production, monitor performance, and continuously improve them. You also lead systems improvement projects - diagnosing integration issues, fixing data quality problems, and coordinating solutions across platforms.

This is a cross-functional role partnering with Strategy, Planning, Finance, IT, and Data Engineering teams across our enterprise systems stack.

Build and operate AI agents - translate operational SOPs into agent workflows; deploy, monitor, and fine tune agents that handle field requests autonomously

Own an agent portfolio - manage a set of automated workflows end-to-end, including agent-to-human escalation paths and performance optimization

Drive process and systems improvement - identify next workflows to automate; diagnose cross-system integration issues; lead data quality remediation

Partner cross-functionally - gather requirements from Sales, Finance, IT, and Strategy stakeholders; influence Directors and Sr. Directors on automation priorities

Support operational continuity - contribute to critical business processes including annual planning cycles

What we look for:

5 to 8 years in operations, systems administration, or business process automation - ideally in high-growth tech companies

Systems fluency - understands APIs, data schemas, and integration patterns; knows how enterprise systems connect

AI-native thinking - uses LLMs, agent platforms, and automation tools to solve business problems; strong judgment on when to automate vs. when manual oversight is needed

AI agent deployment - hands-on experience building AI agents or automation workflows

Process design - thinks in systems, not tasks; proven track record designing and improving operational workflows

Cross-functional influence - comfortable gathering requirements across multiple teams and influencing Director-level stakeholders

Bias for action - self-motivated; finds ways forward with AI tools rather than waiting to be unblocked

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 to $171,950 USD Zone 2 Pay Range $112,600 to $154,750 USD Zone 3 Pay Range $106,300 to $146,200 USD Zone 4 Pay Range $100,000 to $137,500 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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 click here.

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.

Common questions

What is the salary for the Sr. AI Operations Specialist - Sales Operations role at Databricks?

Databricks advertises $125,000 to $171,950 a year for this role.

Can I work remotely in this job?

No, it is an on-site job in California or Illinois.

What experience do I need for this Sr. AI Operations Specialist - Sales Operations job?

The posting mentions 5 to 8 years of relevant experience and skills such as LLMs. Read the full description above for the complete list.

Where do I send my application to Databricks?

Use the apply button on this page. It takes you to Databricks's own application form, so your CV goes directly to their hiring team.

When was this job posted?

Databricks published the role on October 2, 2026. We check the employer's job board every day and take this page down when the role closes, so if you can read it, the job was still listed at our last check.

Source: Databricks careers page (databricks.com). Applications go straight to the employer. We check the listing daily and remove it once it closes.