Creative Strategy AI-Tools Product Manager

🤖 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 →