Product Engineer

🕒 il y a 7 jours

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧑‍💻 Développeur Full-Stack

🇬🇧 Parrain de Visa de Travailleur Qualifié UK

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👻 Score fantôme 10%

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🗣️🇺🇸🇬🇧 Anglais requis

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Improbable

1001 - 5000 employés

Fondée en 2012

💼 Conseil

🎖️ Défense

🎮 Jeux vidéo

💰 Venture Round en 2022-12

Consulting • Defense • Gaming

Improbable est un venture builder du metaverse qui initie et développe de nouvelles activités propulsées par ses technologies pour donner vie au metaverse via le gaming, l'entertainment, le social et des applications pour l'entreprise. L'entreprise s'appuie sur son expertise en gaming, blockchain et AI pour créer des technologies metaverse de rupture, en concevant et opérant des expériences metaverse pour les marques afin de générer de nouvelles opportunités business et des revenus. Parmi les projets récents d'Improbable : • Virtual Ballpark de la MLB, une expérience de baseball virtuelle ; • Edison « Summercrush », une block party multijoueur dans le metaverse ; • KosmoPop, une célébration K-pop dans le metaverse ; • « Clash of Fans » de Victory League, un événement virtuel d'engagement des fans. Improbable travaille également au développement de la blockchain la plus rapide pour des applications grand public à grande échelle.

Description

• Own the full product lifecycle from rapid prototyping to production across the agent-building experience, user workspace, and agent-generated applications • Design and build the agent runtime pipeline that turns plain-language descriptions into reliable agents • Build the workspace where users understand, direct, and trust their agents • Build infrastructure enabling agents to create usable trackers, dashboards, and tools • Own production reliability, including evaluations, error handling, and systems for dependable agent output • Own the technical roadmap across agent runtime, workspace/applications, and reliability • Make architecture decisions involving speed, reliability, cost, build versus buy, and human versus AI responsibilities • Ship working prototypes quickly and harden validated features for production • Use specialized AI agents to accelerate implementation • Recruit and shape the early engineering team • Work directly with the GM and contribute strong product and UX opinions

🎯 Exigences

• Track record of shipping production software, ideally with founding or early-engineer experience at a product-led startup • Strong TypeScript across the full stack • Some Go experience where appropriate • Depth in at least one of: LLM application design and production AI reliability; real-time data infrastructure; or developer-facing products and internal tooling • Strong product instincts connecting technical choices to user outcomes and business impact • Ability to prototype quickly, then harden features with tests, edge cases, and reliability improvements • Genuine interest in messaging applications and productivity, or AI messaging applications and AI • Ability to defend technical positions and change direction when evidence shifts • Clear technical writing and communication • Comfort with ambiguity and problems without textbook answers • Ability to leverage AI agents as a force multiplier • Care for craft while shipping effectively • Experience with AI products, productivity tools, or chat applications is a bonus • Experience building consumer-facing productivity or messaging applications is a bonus • Understanding of AI and productivity product quality and competitive landscapes is a bonus • Experience with LLM evaluations, hallucination mitigation, or production AI reliability at scale is a bonus • Experience with real-time streaming architectures and event-driven systems is a bonus • Public portfolio, open-source work, papers, blog posts, or side projects is a bonus • Comfort working across the stack from backend services through frontend UX is a bonus

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