vidIQ builds software to help YouTube creators achieve their goals.
Our mission is to advance the creator's journey with actionable data-driven insights and AI-powered tools.
We are dedicated to our values of being creator-obsessed, lean and fast, and scientific.
Having already supported millions of creators, we invite stunning new co-workers to join us in reaching millions more.
Imagine a product that reached over a million users without a traditional sales team.
This product stands at the forefront of career evolution, where everyone can be their own brand with unlimited growth potential.
That's the opportunity at vidIQ—an infinite market, a large and highly engaged customer base, and the chance to help scale the platform that delivers insights to millions of creators.
Discover more about vidIQ firsthand at
About the Team
Our vision is to build a personal copilot for every YouTube creator.
We work in small, focused teams where people are expected to understand the problem, make decisions, and take ownership of the outcome.
We value people who are strong in their craft, communicate clearly, challenge ideas with respect, and follow through from problem to production.
We�n, optimize conversion modeling in privacy‐first environments, or generate technical documentation for tracking setups
An AI‐forward mindset — curiosity about emerging AI trends in marketing technology and a willingness to experiment with new tools that could improve tracking efficiency or data analysis
What's Offered:
Remote role with the flexibility that comes with a distributed, async-friendly team
Competitive compensation based on experience and location
A pivotal, high‐visibility seat on a scaling Data & Analytics team, with real ownership over the tracking infrastructure every campaign and report depends on
The chance to build the measurement backbone for an agency whose partners are education and nonprofit organizations working to build a better world
A culture built around finding a better way, playing as a team of A‐players, and treating results as the engine rather than the goal
Direct impact: the tags and tracking decisions you make show up directly in whether partners can trust their own data
Interview Process:
Application Review (resume + a few questions)
Screening Call with Atomic HR
Hiring Team Interview (walkthrough of a pipeline or data model you've built)
Technical Assessment (a real‐world data engineering case study)
Final Interview with company leadership
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