Synced from Greenhouse · Sep 22

Video Producer

DatabricksSan Francisco, CaliforniaPosted Sep 22, 2026
ProducerSenior
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

$178k–$244k
Compensation
880
Other open Databricks roles
Sep 22
Posted
Greenhouse
Applicant system
Job descriptionReq 8816442002

Sr Video Producer 

GAQ127R43

As a Sr Video Producer on the Media Productions team at Databricks, you will work closely with the team and our clients to ensure proper intake and management of video production projects from ideation through final delivery. The Media Productions team is seeking a Video Producer with an accomplished background in all aspects of the video production process. This role will partner with many teams across the company to plan, design, and support our on-demand video and live production product experiences.

In this role, you will report to the Sr Manager of Media Productions, based in the greater Bay Area. The team provides technology and media production support that delivers compelling and engaging content to all divisions across the enterprise with the goal of maximizing visibility, engagement and impact.  

Responsibilities:

  • Collaborate closely with internal clients and external partners to help create various production projects and assets.
  • Management of pre-production, production and post-production tasks for multimedia (audio/video) projects.
  • Coordinate budgeting and logistics to each video project needs
  • Staffing a production team using internal and external resources on a per project basis.
  • Coordinate budgeting and logistics to each video project needs
  • Travel to shoot locations for scouting and developing pre-production assets.
  • Ability to build and manage a project budget and production schedule.
  • Comfortable working with vendors to reserve and ship required equipment.
  • Assisting with script writing and overall creative direction.
  • Comfortable operating camera, lighting, and audio equipment to capture engaging and aesthetically pleasing footage in person and fully remote.
  • Experience with Adobe Creative Cloud suite, including Premiere, After Effects, Illustrator, Photoshop, and Audition.
  • Proper management of media assets.
  • Capture and evaluate analytics to calculate a project's ROI based on predefined success metrics. 
  • Excellent project management and organization skills
  • Manage project timelines, tracking budget, ensuring all deadlines are met.
  • Direct on-camera talent and crew members during shoots

 

Requirements:

  • 8+ years of hands-on experience with developing web-based video content.
  • 5+ years at a digital-first brand or agency
  • Experience with Adobe Creative Cloud, Iconik, Kaltura, OpenReel, Databricks.
  • B.A. in film production or similar field or equivalent experience.
  • Quick decision-making ability under pressure.
  • You can balance competing priorities and work alone or within a team equally well.
  • You have excellent reliability, dependability, and integrity.
  • You have solid attention to detail, accuracy and are highly organized.
  • You have great people and communication skills and are driven to solve people's problems.

 

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 1 Pay Range
$177,700$244,300 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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

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