Job Title
Product Engineer
Salary
£70k-£130k + Equity
Company Description
Userled.io is a LocalGlobe-backed AI-native platform used by enterprise giants like Canva, Ramp, and Elastic to automate B2B go-to-market orchestration. Based in Shoreditch, they are scaling their engineering team to build high-scale systems that process hundreds of millions of events, integrating AI-powered personalization directly into the sales and marketing funnel.
Job Description
Join Userled.io as a Product Engineer to build the future of AI-native marketing. You will own features end-to-end, from customer discovery to shipping Go and TypeScript services that handle massive data volumes. Working directly with GTM teams, you’ll ship daily, solve complex identity resolution problems, and integrate cutting-edge AI models.
Location
London, UK
Why this role is remarkable
- True product ownership where you lead projects from ambiguous briefs to shipped solutions, working directly with customers to define the product roadmap.
- Backed by LocalGlobe and elite angels from Incident.io and Tessian, joining a high-growth team of 30 scaling to 50 within the next year.
- High-velocity shipping environment where every developer gets Claude Team, Cursor, and a dedicated budget for any AI tools needed to accelerate delivery.
What You Will Do
- Architect and build full-stack features using Go microservices and React/Next.js interfaces to handle hundreds of millions of monthly events and CRM records.
- Design and implement AI-powered features for content generation and account intelligence using LLMs like OpenAI, Anthropic, and Vertex AI.
- Orchestrate complex event pipelines and identity resolution systems across Kafka, Postgres, Redis, and BigQuery to power real-time personalization at scale.
The ideal candidate
- Proven track record of shipping production-grade applications at a startup, with professional experience in Go, TypeScript, or cloud infrastructure on AWS/GCP.
- Strong product sense and a bias for action, comfortable moving forward without detailed specs to solve real customer problems and drive business outcomes.
- Experience with high-scale data infrastructure, such as event-driven systems, identity resolution, or managing complex third-party integrations like Salesforce and LinkedIn Ads.
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