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# Product Engineer: Full-stack with 80% Backend

- **Company:** Longtail
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Databases, Distributed Systems, Standard Sql, ReactJS, Backend, Build Management, Front End Software Development
- **Published:** August 31, 2026
- **Apply:** https://www.jobleads.com/es/job/e9b97bfc60dd35234062c01d67b961d28

## About the Role

We're looking for someone with 7+ years of engineering experience, including time spent operating production systems, not just shipping them., You're a strong backend engineer who:

 * Has built and operated production SaaS products
 * Has strong API, database, and SQL skills
 * Understands distributed systems, asynchronous processing, and failure modes
 * Cares about reliability, observability, security, and maintainability
 * Uses AI-assisted development tools such as Claude Code, OpenAI Codex, or similar, while applying strong engineering judgement

## Description

You'll help build and evolve our new conversational analytics and intelligent alerting product, as it moves from beta to a scalable, production-ready platform.

This is a full-stack role with roughly 80% backend, 20% frontend. You'll own features end to end: understanding customer problems, designing solutions, building and deploying them, and supporting them in production., * Design and build backend services, APIs, and customer-facing capabilities: including conversational analytics, intelligent alerting, reports and saved analyses, and AI-powered/agentic workflows

 * Own features end to end, from customer problem through to production
 * Build reliable, asynchronous workflows with orchestration, error handling, recovery, and observability baked in
 * Integrate with data, analytics, and AI model platforms
 * Design resilient systems that handle failures gracefully
 * Contribute to the React frontend when a feature calls for it
 * Improve testing, observability, security, and performance across the platform
 * Make pragmatic technical decisions as the product evolves, and help shape engineering standards and architecture as we grow


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