Tubescience Labs

Job Summary:
TubeScience Labs is the applied-AI team inside TubeScience, the largest performance-video company in paid social. The role involves building AI-powered tools and data pipelines that support the Creative Strategy team in planning campaigns and evaluating creative, requiring strong engineering skills and product instincts.
Responsibilities:
• Build and ship the tools: Take ownership of the AI tools strategists use every day — roadmap generators, brief scorers, hook writers, sprint planners, competitive intelligence tools. Real tools, used daily, with real usage metrics. The hard problems here are reliability, speed, and making complex strategy workflows feel simple.
• Own the data pipeline: Turn 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.
• Drive adoption: A tool nobody uses is a tool that doesn't exist. Train the team, gather structured feedback, track usage, and iterate until it sticks.
• Help shaping the roadmap: Bring a product and engineering point of view to how this tooling grows — what we build, in what order, and why.
Qualifications:
Required:
• Are a PM or an engineer with a product sense — a strong builder comfortable shipping and operating production code, not just prototypes.
• Engineering depth is the floor for this role, not a bonus.
• Have a strong UX sensibility — you build tools that feel obvious and pleasant to use, not just ones that technically work.
• Have worked with APIs and can integrate LLM APIs without hand-holding.
• Are comfortable with SQL at a working level — pulling data, writing joins, debugging pipeline issues.
• Can get something deployed (Vercel, Railway, or equivalent) independently and own it end to end.
• Learn fast in new domains — you don't need to know advertising coming in, but you need to pick it up quickly, and pick up our proprietary methodology alongside it.
• Ship things, document things, and own things — and want measurable impact on a real business, not indefinite prototyping.
Preferred:
• Familiarity with direct-response or performance advertising, or a track record of picking up a complex domain fast.
• Experience integrating AI into strategic workflows.
• Experience building internal tools or platforms from scratch and living with the foundational decisions.
Company:
TubeScience produces conversion-optimized video for many of Facebook’s largest performance marketers. Founded in 2016, the company is headquartered in Los Angeles, USA, with a team of 201-500 employees. The company is currently Growth Stage.