Creative Strategy AI-Tools Product Manager

Posted 22 Hours Ago
Be an Early Applicant
Los Angeles, CA, USA
In-Office
65K-85K Annually
Mid level
AdTech • Digital Media • Marketing Tech • Design
The Role
As a Creative Strategy AI-Tools Product Manager, you'll build AI tools for strategists, manage data pipelines, and drive adoption by training teams and iterating on tool usage.
Summary Generated by Built In

🤖 AI Tools Associate — Creative Strategy
Remote | Full-time | $65,000–$85,000 + performance bonus
We’re building AI that makes great advertisers even better. You’ll build the tools that make it happen.
TubeScience is one of the fastest-growing performance video companies in the world. We don’t just make ads — we engineer them. Data, AI, and creative systems working together to produce direct-response video at a scale and speed nobody else has cracked. We’re profitable, we’re growing, and the problems we’re solving are genuinely hard.
Our Creative Strategy team is in the middle of building an AI-powered infrastructure that changes how strategists work — from how they plan campaigns to how they write briefs to how they evaluate creative. We need someone to build it.
What you’ll actually be doing
You’re not a strategist who uses AI on the side.
You’re the person who builds the systems strategists depend on.
That means developing LLM-based tools, automating data pipelines, and creating workflows that make a team of 50 people measurably faster and more consistent. You’ll work directly with TJ, our VP of Creative Strategy, who sets the direction — and with Audrey, our Creative Systems Manager, who owns rollout.
You own the build.
Day to day, you’ll be:
Building and shipping AI tools — roadmap generators, brief scorers, hook writers, sprint planners, competitive intelligence tools. Real tools, used daily, with real usage metrics.
Owning the data pipeline — turning raw performance data, consumer reviews, and competitive intel into structured inputs that feed every downstream tool. Python scripts, API integrations, SQL queries — you’ll write and maintain all of it.
Managing the AI architecture — client-specific Claude Projects, skill files, knowledge bases. Every account should eventually have custom AI context that makes strategy work faster.
Driving adoption — a tool nobody uses is a tool that doesn’t exist. You’ll train the team, gather structured feedback, track usage, and iterate until it sticks.
You’re a fit if
• You’re a strong Python developer comfortable writing production scripts, not just prototypes.
• You’ve worked with APIs (REST, JSON) and can integrate LLM APIs without hand-holding — experience with OpenAI or Anthropic is a plus.
• You’re comfortable with SQL at a working level — pulling data, writing joins, debugging pipeline issues.
• You can get something deployed (Vercel, Railway, or equivalent) independently.
• You learn fast in new domains — you don’t need to know advertising coming in, but you need to pick it up quickly.
• You ship things. You document things. You own things.
You’re not a fit if
• You want to experiment and prototype indefinitely without shipping.
• You expect a ticket queue and explicit instructions for everything.
• You’re looking for a pure engineering role with no business context.
What’s in it for you
Beyond the base salary, your bonus is tied directly to impact — not time served.
For every major tool that reaches sustained weekly active users on the team, you get paid. Ship tools people actually use, and you’ll earn meaningfully more.
• Base: $65,000–$85,000 depending on experience
• Tool impact bonus for each qualifying tool with 5+ sustained weekly active users
• Additional bonus at 10+ weekly active users
• Targets: 2 qualifying tools in your first 6 months, 5+ by end of year one
The honest pitch
This role has a steep learning curve.
You’ll be picking up prompt engineering, advertising strategy vocabulary, and a proprietary methodology while simultaneously building and shipping tools the team uses every day. It’s not for everyone.
But if you want to build AI infrastructure that has measurable impact on a real business — and you want to learn direct-response advertising from the inside while doing it — this is a rare opportunity to do both at once.
🧩 Sound like you? Apply here →

Skills Required

  • Strong Python development skills for writing production scripts
  • Experience with API integrations (REST, JSON) and LLM APIs
  • Proficient with SQL for data manipulation
  • Ability to independently deploy applications (Vercel, Railway)
  • Quick learning in new domains, such as advertising
  • Experience in documentation and tool ownership
Am I A Good Fit?
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The Company
HQ: Los Angeles, California
197 Employees
Year Founded: 2016

What We Do

As one of the fastest growing startups in Los Angeles, we're revolutionizing the way in which companies approach successful video advertising. Our team of award-winning Producers, Editors, Directors, Engineers, and Performance Marketing Managers are building a global studio where we can conceptualize, shoot, and produce hundreds of videos per day. Unlike traditional advertising agencies that pitch creative concepts for companies, hope they will perform, and outsource filming, we design videos that are guaranteed to convert. We use data to guide our creative process and leverage testing and analysis to make adjustments to react to users in real-time. What's atypical about the company: We're fast and data-driven: our teams develop concepts in the morning, shoot/edit in the afternoon, launch in the evening, and iterate the next day based on real-world performance. We’re a behavioral R&D lab at the core: We put 2,000+ video experiments per week, watched by tens of millions of people per day, that give us deep insights into how people make decisions. Over the past couple years, we’ve built an enormous library of IP around human behavior and visual communication. We work on a pure pay for performance basis. Zero production fees for video. Clients only pay us if our videos outperform anything they’re running internally.

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