We pull medical technology from the future to solve human health.

Authorised by governments around the world to assess medical AI, we remove unnecessary delays from every regulatory approval we do so patients get devices from the future, today. We are proud to count the world’s most ambitious companies building medical technology as customers. You will be joining a team with product-market fit, flowing data, and exponentially growing revenue.

Who you are:

• You have 3+ years of experience in knowledge management, technical documentation, content systems, information architecture, content operations, or a related role, ideally in a complex B2B, technical, or regulated environment.

• You think in systems. You care about how information is structured, maintained, searched, surfaced, and reused.

• You have strong product and UX judgement. You understand that great user experiences reduce work for users. They make the right information easier to find, understand, and apply.

• You are comfortable with complex subject matter. You do not need to be a regulatory expert, but you should be excited by the challenge of making regulatory expectations clearer without making them less precise.

• You are technical enough to work closely with engineers. You may have experience with Markdown, GitHub, docs-as-code, headless CMSs, structured content, developer documentation, or AI retrieval systems.

• You are interested in how knowledge should be consumed by both humans and AI systems. You understand that AI-ready content needs structure, source clarity, version control, and careful governance.

• Your verbal and written communication skills are exemplary, aligned with MECE principles and adapted to an asynchronous work environment.

What the job involves:

• Own the structure, navigation, and presentation of Scarlet’s customer-facing knowledge base, making it easier for customers to find and apply the right guidance.

• Create content models, templates, taxonomies, metadata, etc that make the KB easier to use, maintain, and extend.

• Partner with subject matter experts to turn complex expectations into clear, structured guidance without losing precision or intent.

• Use customer questions, search behaviour, and content performance to identify where the KB is confusing, incomplete, or too hard to act on.

• Shape how Scarlet’s guidance can be surfaced across the product, anticipating changing usage patterns as AI capabilities rapidly evolve and preserving accuracy, nuance, and trust.

The Interview Process

• Intro call with Aarzoo:

• Round 1: CX team interviews: Steven and Johnny (2x30 min)

• Round 2: Founder interviews: James and Jamie (2x30 min)

• Referencing

• Offer

Compensation Range: £70K - £80K