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About the Role
This role owns the internal products used every day to research, produce, publish, grow audiences, and turn attention into revenue. You will identify problems before they are reported, collaborate with engineers and AI builders, and prioritize adoption over launch.
Responsibilities
- Build a live, evidence-backed view of where time, money, and quality are lost across production, post, audience, community, commercial, and ventures teams.
- Own internal products end-to-end: problem statement, spec, prototype, launch, adoption, and iteration.
- Build AI-native by default: agentic workflows, generative media pipelines, and retrieval over the company's own content and knowledge.
- Instrument usage and drive adoption as a product problem, reporting on hours returned, workflows retired, and revenue influenced.
- Partner with the VP of Engineering & Applied AI and Head of Data Intelligence so internal tooling, external product, and the data layer reinforce each other.
Requirements
- Demonstrable track record shipping products end-to-end as the person accountable for the outcome.
- Deep hands-on fluency with AI tooling - you've built with LLMs, agentic workflows, or generative media models yourself.
- Comfortable in the technical detail: querying data, reading a system diagram, engaging with implementation trade-offs.
- Real discovery instincts: sitting with users, observing work, finding the problem behind the request.
- Strong written communication - a spec engineers build from, a note a producer or commercial lead acts on.
- Experience building for internal or professional users, where adoption is earned rather than mandated.
- Range across creative and commercial workflows — credible in both rooms, same day.
- Preferred: generative video/audio/image pipelines in production, tools for growth/sales/partnership teams, or building internal platforms/creator tooling from zero.
- Genuine fluency in how content actually gets made and monetised, or strong interest in media, podcasting, video, or the creator economy.
Skills
- AI tooling
- LLMs
- Agentic workflows
- Generative media models
- Data querying
- System diagram analysis
- Implementation trade-offs
- User observation
- Written communication
- Generative video pipelines
- Generative audio pipelines
- Generative image pipelines
- Growth tools
- Sales tools
- Partnership tools
- Internal platforms
- Creator tooling
- Content production
- Content monetization
Location
- LONDON
Work Type
- Full-time
Experience Level
- Senior
About the Company
- Steven.com is building the operating system for the creator economy, forecast to pass a trillion dollars by the early 2030's.
- This industry is currently held back by fragmented tools and a lack of professional infrastructure.
- Steven.com is the unlock.
- We are the end-to-end Operating System designed to scale what is irreplaceably human.
- We have built proprietary technology and obsessed teams to identify and scale the highest-potential creators across our core pillars: Creator Media, Creator Community, Creator Products, and Powered by Creator Tech & Intelligence.