Sr. Video Editor (short-form)

Reposted 14 Days Ago
San Francisco, CA, USA
In-Office
176K-242K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Lead GEO and AI search optimization to increase Databricks' visibility and citations across AI answer engines and organic search. Build experimentation programs, publish AI-citable technical content, maintain technical SEO health (schema, crawlability, Core Web Vitals), and partner cross-functionally to drive traffic, conversions, and pipeline while delivering executive reporting and a repeatable GEO playbook.
Summary Generated by Built In

MKTQ227R42

Location: San Francisco Bay Area

Databricks is looking for a Short-Form Video Editor to join our in-house brand team. In this role, you'll own the full lifecycle of short-form video for our brand channels — from topic planning and storyboarding through editing, motion graphics, and publishing. You'll take raw footage shot by our subject matter experts (engineers, researchers, product leaders) and shape it into scroll-stopping, on-brand video that makes complex data and AI topics feel relevant, human, and shareable. We need someone who can operate editing software fluently, but who also has the creative judgment to know what makes a video work — the hook, the pacing, the caption strategy, the platform-native feel — and who understands how AI is changing both video production and content discovery.

The impact you will have:

  • You've built a repeatable short-form content engine for Databricks' brand channels. You've established a topic pipeline and storyboarding process — pulling from blogs, launches, webinars, and exec talks — so video output is planned and proactive rather than reactive, requiring strong content marketing instincts and the ability to work independently from a brief.
  • You've turned raw SME footage into a recognizable, high-performing video style. Unscripted or lightly-scripted footage from engineers and executives is consistently shaped into tight, retention-optimized cuts that feel native to each platform, requiring sharp post-production editing skills and a strong eye for pacing and story.
  • You've made AI tools a core part of the production workflow, not a bolt-on. Turnaround time on video production has meaningfully decreased because you've integrated AI-assisted editing, transcription, captioning, and repurposing tools into daily work, while keeping a human hand on creative quality — requiring genuine fluency with modern AI video tools and the judgment to know when not to rely on them.
  • Databricks' short-form content is measurably easier to find and surface, including by AI answer engines. Video (and its supporting metadata, captions, and repurposed text) is produced with AIO/GEO best practices in mind, requiring a working understanding of how AI-driven discovery and recommendation systems evaluate content.
  • Motion graphics have elevated the brand's video content beyond straight cuts. Animated explainers, kinetic text, and simple data visualizations are a regular part of the content mix, requiring hands-on motion graphics and animation skills (e.g., After Effects).
  • Cross-functional partners trust you to run with a brief. Content marketing, product marketing, and executive comms treat you as an owner of the video format, not just an execution resource — requiring strong collaboration skills and consistent, on-brand judgment across a high volume of content.
  • Video performance data actively shapes what gets made next. You track engagement and retention metrics across channels and use them to adjust format, pacing, and topic selection over time, requiring a data-informed approach to creative decisions.

What we look for:

  • 5+ years of professional video editing experience, ideally with in-house or agency experience producing short-form social content for a brand.
  • Strong portfolio demonstrating short-form editing (15–90 second formats): hook design, pacing, storytelling in compressed formats, and platform-native style.
  • Proficiency in professional editing software (Adobe Premiere Pro and/or DaVinci Resolve; After Effects for motion graphics).
  • Hands-on experience with AI-assisted video editing and production tools, and interest in keeping pace with how AI is changing the editing workflow.
  • Working knowledge of AIO/GEO principles and how they intersect with social content strategy — or strong aptitude and interest in developing this.
  • Motion graphics and animation skills: lower thirds, kinetic typography, simple data visualizations, branded templates.
  • Content marketing sensibility: comfortable turning a brief or a long-form asset into a short-form video concept and shot list without heavy hand-holding.
  • Understanding of audio editing/sound design and caption/text-overlay design for sound-off viewing.
  • Ability to manage multiple videos in production simultaneously and hit fast turnaround deadlines in a high-volume content environment.
  • Experience translating technical or B2B subject matter into accessible, engaging content is a strong plus.
  • Bachelor's degree in film, media, design, or related field — or equivalent experience.

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
$176,200$242,350 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.

Skills Required

  • 5-8 years hands-on SEO experience, including 1-2+ years focused on AI search optimization or GEO/AIO
  • Strong technical SEO foundation: site architecture, crawlability, structured data/schema markup, Core Web Vitals
  • Experience with log file and crawl analysis and partnering with web/engineering to ship changes at scale
  • Proven ability to design and run experimentation programs that deliver measurable lifts in search/AI performance and downstream KPIs
  • Fluency with modern SEO and analytics tools (e.g., Semrush/Ahrefs, Google Analytics, Google Search Console, AI visibility tracking) and reporting
  • Excellent written communication and editorial judgment for reviewing and refining AI-generated and human-created content
  • High learning agility, experimentation mindset, and comfort operating in ambiguous, rapidly changing environments
  • Strong cross-functional communication and influence skills working with content, product marketing, engineering, analytics, and comms

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Healthcare Strength Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
  • Parental & Family Support Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
  • Wellbeing & Lifestyle Benefits Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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