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Hi, We’re Sundogs. We’re using AI and human creative expertise to transform video advertising. Working with the biggest brands in the world, we’re building a way to measure creative effectiveness – helping creators everywhere use AI to tell better, more creative stories, and make their video ads not just better, but revolutionary.
Our team is a global collection of Cannes-winning creatives, ex-Googlers, cutting edge data scientists, and start-up entrepreneurs, and we're poking at the future with curiosity and delight.
We’re looking for a Senior Software Engineer who’s a product-minded, problem solver at heart, and excited to build the next generation of creative intelligence tools.
The Opportunity
We’re looking for a Senior Software Engineer who’s excited to build things from the ground up: someone who can think strategically, move fast, and care deeply about quality. You’ll be a key player in taking our product from MVP to scalable platform, helping global brands get real results from their creatives.
This is not a narrowly scoped role. You’ll own critical systems end-to-end, and work closely with the data and product teams to translate creative ideas into production-level software. This role is fully remote and candidates from all geographies are welcome to apply.
Please note application instructions. Resumes submitted only via LinkedIn will not be considered.
You’ll Thrive Here if You:
What You'll Do
Technical Enablement & Collaboration
What We're Looking For
Our Stack:
What We Offer
Note: Our team is fully remote and distributed within EST-CET timezones. While we are distributed across timezones, workdays are local hours (with occasional/rare exceptions).
Application Instructions
Submit your resume and prompt responses to work@sundogs.io.
We're not looking for polish, we're looking for clarity; we’re interested in your thinking process, not just the technical details. Resumes without answered prompts will not be considered.
In 250 words or less, answer the following question:
Tell us about a time you re-designed or refactored a system (e.g., an API, data pipeline, architecture, or core service). What was the original problem or limitation? What changes did you make and why? What was the result?
In 250 words or less, answer the following question:
Pick a technical system, tool, or project you’ve worked on, like an API, data pipeline, ML model, or cloud architecture, and explain it clearly and simply, as if you were describing it to a teammate in marketing or creative.
Referrals increase your chances of interviewing at Sundogs Creative by 2x
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