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Product Manager (AI-Powered Media Buying)

TubeScienceLos Angeles, California

$100,000 - $140,000 / year

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Overview

Schedule
Full-time
Career level
Director
Remote
On-site
Compensation
$100,000-$140,000/year
Benefits
Health Insurance
Dental Insurance
Vision Insurance

Job Description

🤖 PRODUCT MANAGER / BUILDER WANTED

Seeking an AI-Powered Builder Who Ships Products People Love

🪪 Role: Product Builder / Manager — AI-Powered Media Buying

📍 Location: Los Angeles (Onsite)

💰 Salary: 100k - 140k

🚀 About TubeScience

TubeScience is the fastest-growing producer of performance-driven video content. We partner with some of the world’s most innovative brands to create, test, and scale videos that deliver measurable results.

Our Media Buying team is building AI-powered tools to transform how we buy and optimize media at scale.

💡 The Role

We’re looking for a Product Builder who can own the development of AI-powered media buying products — someone who ships fast, thinks in user journeys, and builds alongside engineers using modern AI tools.

You’ll lead product evolution and prioritization in a data-heavy, fast-moving vertical — owning standalone app sections and collaborative feature integrations across our existing tools.

This is not a “paper PM” role. You’ll prototype, build, and ship using AI coding tools like Claude Code, working closely with our engineering team.

🎬 What You’ll Do

🛠️ Build AI-powered products — Use AI coding tools to prototype and ship alongside engineers

🧭 Own product direction — Lead prioritization and evolution in the media buying vertical

🧩 Design cohesive experiences — Unify multiple verticals into one product that feels seamless

📊 Make data beautiful — Turn complex dashboards and information into something simple and enjoyable

🤝 Collaborate with engineering — Work closely with the team, speaking the same language

🧬 Who You Are

Bias to action — You build prototypes and ship, not decks and specs

📺 Media buying experience — You understand advertising industry pain points

🎨 Strong UX sensibility — User-journey-driven, minimalist mindset, real design taste

📈 Comfortable with data — You can make complex information feel simple

🧠 Technical fluency — You speak the same language as engineers (bonus if you are one)

🤖 AI-curious — You’re energized by how fast the landscape changes and excited to disrupt legacy practices

Plus

🖌️ Figma / Photoshop familiarity — You can mock up ideas and iterate on designs

🧰 Tech Context

Our stack: Vite (TypeScript, React), SQL (Supabase), Vercel, Claude Code, Codex

Why Join?

Build impactful products people actually love using — not just feature checklists. Join a team that’s genuinely curious about AI and excited to transform media buying with modern tools.

Benefits

🩺 Health, Vision & Dental coverage

🧳 Unlimited PTO

💰 401(k) + Matching

🩷 Life Insurance

🤒 Paid Sick Days

👶 Parental Leave (up to 12 weeks)

✨ And more!

If you’re ready to build the future of media buying — we’d love to meet you.

👉 Apply here >>

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

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FAQs About Product Manager (AI-Powered Media Buying) Jobs at TubeScience

What is the work location for this position at TubeScience?
This job at TubeScience is located in Los Angeles, California, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at TubeScience?
Candidates can expect a pay range of $100,000 and $140,000 per year.
What employment applies to this position at TubeScience?
TubeScience lists this role as a Full-time position.
What experience level is required for this role at TubeScience?
TubeScience is looking for a candidate with "Director" experience level.
What is the process to apply for this position at TubeScience?
You can apply for this role at TubeScience either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.