Product Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Product Engineer (AI): Building and optimizing end-to-end enterprise influencer marketing workflows with an accent on AI-native tooling and custom integrations. Focus on shipping production-ready features, automating complex client workflows, and collapsing the gap between product management and engineering.
Location: Must be based in or able to work from London (Hybrid). Right to work in the UK or EU is required; no visa sponsorship available.
Company
is an enterprise influencer marketing platform that manages the full lifecycle of creator campaigns, payments, and analytics for major global brands.
What you will do
- Join customer calls to identify and scope real requirements for enterprise clients.
- Design and ship LLM-powered features to production, including robust evaluation harnesses.
- Build custom integrations and workflow automations to replace manual client processes.
- Make product decisions under uncertainty, balancing speed with correctness.
- Think adversarially to cover edge cases and ensure system reliability.
- Build reusable primitives and scaffolds for future product engineers.
Requirements
- Must have existing right to work in the UK or EU.
- Must be based in London for regular in-person office days.
- Fluency in at least one backend language (TypeScript/Node or Python) and comfort with frontend development.
- Proven experience shipping LLM features to production.
- Strong product instinct with a hands-on approach to building and scoping.
- Demonstrable experience building side projects or open-source contributions.
Nice to have
- Experience in creator economy, influencer marketing, or social platforms.
- Background in FDE, Solutions Engineering, or Deployed Engineer roles.
- Startup experience at a scaling company.
Culture & Benefits
- Small, high-impact product team focused on end-to-end ownership.
- Use of cutting-edge AI-native tooling like Claude Code and Cursor.
- Collaborative environment with regular in-person team days.
- Focus on rapid iteration and shipping to production weekly.
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