Data Science
US$230,000 – US$300,000 / yr base salary
Posted 6 Oct 2026
Advertised as “Data Science Lead”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- People management
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$230,000 – US$300,000 / yr |
|---|---|
| Cash bonus | US$40,000 – US$100,000 |
| Total comp | US$270,000 – US$400,000 |
🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.
We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 20 million creators and businesses have used OpusClip to enhance their social presence.
We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more.
Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024.
Headquartered in Mountain View, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values:
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Be a Champion Team
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Prioritize Ruthlessly
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Ship fast, Quality Follows
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Obsess over customers
Be a part of this exciting journey with us!
About the Role
OpusClip is looking for a staff-level, product-oriented Data Science Lead to lead a team of approximately five: two Data Scientists, two analysts, and one to two Data Engineers. Title will be calibrated to experience.
This is a hands-on role: you will set the Data roadmap, personally tackle our hardest analytical problems, and build an increasingly AI-native data function. You can lead through technical direction or direct management; formal people management is not required.
You will work closely with Product, Growth, Finance, Engineering, and AI to turn trusted data into better product and business decisions.
Success means delivering measurable business improvements while building the systems and practices that let a small Data team support a growing company.
What You’ll Do
Lead the team and strengthen the data foundation
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Set priorities, develop the team through technical direction and example, and focus capacity on the highest-impact problems. Personally lead ambiguous, high-stakes analyses.
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Own standards for metric definitions, data validation, and analytical quality. Partner with Engineering to diagnose and prevent recurring issues across tracking, pipelines, transformations, and dashboards.