
Program Analyst, Legal Ops
Seattle, WAJob$87–127K/yrPosted 4 days agoStill listed 4 days ago
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At a glance
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Job overview
Databricks seeks an experienced Program Analyst, Legal Ops (Commercial) to support the Commercial Legal team’s AI and scaling initiatives. The role aligns, manages, and tracks high-priority projects, supports leadership decisions with organized information, and coordinates post-M&A integration and strategic partnerships. It also improves cross-functional coordination and leads implementation of AI tools to automate routine tasks and enhance productivity.
Skills & qualifications
Skills
Qualifications
Full job description
GAQ426R79
About The Team
The mission of Databricks Legal is to apply legal resources and expertise to help Databricks achieve its growth and strategic objectives, while thoughtfully protecting Databricks with a reasonable balance of risk versus opportunity.
What We Look For
Databricks is looking for an experienced Program Analyst, Legal Ops (Commercial) to support the Databricks Commercial Legal team’s AI and scaling initiatives, including working with the Commercial Legal Center of Excellence (CoE). The dedicated Program Analyst will work to align, program manage, and track the multiple high-priority initiatives. This role is essential to enable the Commercial Legal team to effectively achieve Databricks' long-term corporate goals.
The impact you will have
- Driving Project Alignment and Execution: The Program Analyst will serve as the dedicated resource to help plan, administer, and track upcoming projects and initiatives; gather and organize information to inform leadership decisions on cross-functional projects; and help coordinate complex post-M&A integration tasks as needed and the implementation of post-signature strategic partnerships, alliances.
- Improving Cross-Functional Interlock: The role will provide a dedicated point of contact, enabling tighter and more efficient interlock with strategic alliances, partnerships, product legal, commercialization, and finance.
- Lead the end-to-end implementation of AI tools to automate routine tasks and enhance productivity.
How You Will Work:
- You will demonstrate excellent project management, and an ability to coordinate efforts across multiple stakeholders, teams, and regions.
- You are expected to manage multiple assignments simultaneously while maintaining a high standard of quality and meeting tight deadlines.
- You routinely identify and recommend opportunities to change and improve ways of working.
- You are a bar raiser, constantly looking to improve standards within the team and to streamline process and quality across different regions.
What We Look For
- Outstanding interpersonal and communication skills
- Three or more years of experience working as paralegal, program manager, contracts specialist or contracts admin.
- Experience with leveraging AI or machine learning in a legal setting
- Experience with pre-sales, sales operations, and/or deal desk; experience within a commercial team is a plus.
- Bachelor's degree or equivalent.
- Strong understanding of the tools used by in-house commercial legal teams to facilitate the contracting process for revenue, including tools used for contract generation and routing (e.g., SFDC, CPQ, and CLM), and signatures (e.g., DocuSign).
- Strong project management skills.
- Excellent written and verbal communication.
- Ability to work effectively with cross-functional teams across diverse cultures.
- Strategic thinking and problem-solving abilities.
- Familiarity with relevant industry regulations and compliance requirements.
- Proficiency with proposal management software.
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 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 anticipates 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 2 Pay Range
$92,200—$126,700 USD
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 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 anticipates 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 3 Pay Range
$87,000—$119,700 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.
How this job compares
Set against the 961 open Program Analyst jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This posting$87–127K/yr
- US median$91–133K/yr593 salary ranges
This range's midpoint, $107K, is 8% below the US median midpoint ($116K) — in the middle half of Program Analyst salary ranges across the US.
- Openings
- Olive Jobs lists 20 open Program Analyst jobs in Washington and 961 across the US. 2% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington
- Databricks (this employer)3 open
- U.S. Pacific Fleet3 open
- Serco2 open
- Experience
- This posting asks for at least 3 years of experience; Program Analyst postings that state a minimum ask for 3 years at the median (826 postings).
- Education
- 291 of the 961 open Program Analyst jobs (30%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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