Solutions Engineer at High-Growth Enterprise AI Influencer Platform

Job Title

Solutions Engineer, SaaS

Salary

Not Disclosed

Company Description

High-growth enterprise influencer marketing platform powering creator discovery and AI-driven intelligence for H&M, Ray-Ban, and Coach

Job Description

You will act as the technical bridge between product and sales, building live software prototypes directly in the room to win major enterprise deals. This role is for a builder who moves fast, leveraging Claude Code and Cursor to transform real social data into personalized, working platform versions in minutes, not weeks.

Location

London, UK

Why this role is remarkable

• Ship production-ready code in your first week alongside a product team that moves from requirement to working software in days using cutting-edge AI agents.
• Work at the intersection of engineering and commercial strategy, holding the room with CMOs while building real-time technical solutions that prove immediate value.
• Influence the core roadmap directly; this role sits within the Product department to ensure field signals and client needs are integrated into the platform within days.

What You Will Do

• Capture messy, real-world social data and run it through proprietary intelligence layers to build live, interactive demos during prospect meetings.
• Lead technical onboarding for new enterprise clients, configuring the platform to their specific data needs and ensuring a seamless transition from demo to go-live.
• Act as a high-bandwidth feedback loop for the engineering team, shipping small fixes yourself and handing off deep custom builds to Product Engineers.

The ideal candidate

• Proficient builder across the full stack with expertise in TypeScript/Node, Python, and React/Next.js, plus hands-on experience with the Anthropic (Claude) API.
• Fluency in modern AI tooling including Claude Code, Cursor, and LLM evaluation tools, with a habit of prototyping solutions at high velocity.
• Exceptional communicator who can read a room, simplify complex technical concepts for non-technical buyers, and identify the business problems that drive enterprise deals.

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