---
title: 'Sr. Video Editor (short-form) at Databricks'
canonical: 'https://feeny.ai/job/sr-video-editor-short-form-databricks-san-francisco-cvtswg7j2jh7'
type: 'job'
last_seen: '2026-09-05'
---

# Sr. Video Editor (short-form) at Databricks

- **Company:** Databricks
- **Location:** San Francisco, CA
- **Compensation:** $176k–$242k
- **Posted:** 2026-07-28
- **Last confirmed live:** 2026-09-05
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8638635002

## Job description

## 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](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf).

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](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en).

## 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](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing).

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.

## About Databricks

## Company Overview
- **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale.
- **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others)

## Core Business
- Primary industry: Data & AI Platform / Enterprise Software
- Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500
- Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us)

## Products & Services
- **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog.
- **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era.
- **Genie**: AI-powered natural language assistant for data insights and querying.
- **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data.
- **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure)
- **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/)
- **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms.
- **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks)

## Competitive Advantages
- **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in.
- **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community.
- **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises.
- **Strong data governance**: Unity Catalog provides centralized access control and lineage.
- **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data.

## Strategic Focus
- Expanding AI capabilities with natural language interfaces and autonomous agents.
- Deepening integrations with cloud providers and open-source ecosystems.
- Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC).
- Cultivating a developer and data science community through university programs and open-source contributions.

## Why Work Here
- **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers)
- **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally.
- **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events.
- **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more.

## Sources
1. [Databricks About Us](https://www.databricks.com/company/about-us)
2. [Databricks Careers](https://www.databricks.com/company/careers)
3. [Databricks Homepage](https://www.databricks.com/)
4. [Databricks LinkedIn](https://www.linkedin.com/company/databricks)

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