Senior Product Manager – LLM Inference

🕒 il y a 8 jours

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟠 Senior

✅ Responsable Produit

👻 Score fantôme 25%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Runware

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2023

🤖 Intelligence artificielle

🔌 API

📱 Médias

Artificial Intelligence • API • Media

Runware est une plateforme d'IA générative flexible spécialisée dans la création de médias de haute qualité pour les images et les vidéos via une API rapide et abordable. Elle est capable de réaliser des tâches avancées telles que la génération d'images, l'inférence vidéo, l'agrandissement et la suppression de fond, en faisant un outil essentiel pour les développeurs cherchant à améliorer leurs projets avec la technologie IA. Propulsé par un moteur personnalisé Sonic Inference Engine™ et utilisant des énergies renouvelables, Runware garantit une génération de médias rapide et efficace sans nécessiter d'infrastructure complexe ni d'expertise en apprentissage automatique.

Description

• Own the LLM inference product strategy and roadmap across model availability, API capabilities, production readiness, and customer adoption • Drive customer discovery and product-market fit with developers, AI teams, and technical decision-makers • Own the model catalog and lifecycle, including model discovery, evaluation, launches, deprecations, selection, serving, and routing • Shape developer experience and API capabilities, including compatibility, SDKs, documentation, streaming, tool calling, structured outputs, caching, batch inference, OpenAI Chat Completions, and Anthropic Messages formats • Define production inference requirements for latency, time to first token, throughput, concurrency, availability, serving efficiency, dedicated capacity, rate limits, routing, fallbacks, and observability • Drive adoption and commercial growth through positioning, pricing, packaging, technical evaluations, production usage, and dedicated inference commitments • Translate enterprise needs into scalable capabilities for data residency, retention controls, service commitments, and other production requirements • Write requirements, prototype solutions, test APIs, reproduce customer issues, resolve technical constraints, and deliver high-quality releases • Track activation, production usage, retention, expansion, revenue, gross margin, and service quality to refine priorities and measure impact • Partner with Engineering, Design, Security, Sales, Marketing, Partnerships, and the Serverless & Compute Product Manager

🎯 Exigences

• Proven product ownership in a technical, developer-facing environment, including API products, developer platforms, AI infrastructure, or similarly complex offerings • Experience leading products from strategy and development through launch, adoption, and commercial growth • Strong understanding of production LLM inference, including model capabilities and serving trade-offs involving output quality, context length, token consumption, latency, throughput, reliability, and cost • Deep understanding of developer experience and API products, including API design, compatibility, migration, SDKs, documentation, and model capabilities • Strong commercial and product judgment concerning customer requirements, technical constraints, market opportunities, pricing, and unit economics • Experience working directly with technical customers, developers, and technical decision-makers • Hands-on technical aptitude with API testing, product behavior analysis, usage data, prototypes, and implementation trade-offs • Strong execution and cross-functional leadership, including navigating ambiguity, communicating decisions, aligning stakeholders, and accountability for outcomes • Strong differentiators include experience with LLM inference APIs, model-serving platforms, AI infrastructure, GPU inference, batching, quantization, KV caching, capacity planning, vLLM, SGLang, TensorRT-LLM, LLM evaluation, benchmarking, production applications, usage-based pricing, token metering, billing systems, data security, data residency, observability, service reliability, software engineering, machine learning engineering, infrastructure, or developer tooling

🏖️ Avantages

• Remote-first work arrangement with in-person meetings twice a year • Core hours for cooperative working and calls, with flexible scheduling outside core hours • Generous paid time off including vacation, sick days, and public holidays • Meaningful stock options • Paid maternity, paternity, and caregiver leave • Twice-yearly company retreats • Downtime after major release cycles to unplug and recharge

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