5 дней назад
Product Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager (AI) (LLM-powered enterprise applications): Designing and delivering tailored AI solutions for enterprise customers with an accent on discovery, prompt architectures, and precise technical specifications. Focus on leading complex client engagements, managing delivery tradeoffs, and building production-ready solutions with LLMs and agentic systems.
Location: 100% remote within France
Company
is an AI-first startup that helps large enterprises build and deploy LLM-powered applications using its platform.
What you will do
- Lead discovery sessions with enterprise clients to map workflows and uncover underlying business challenges.
- Translate customer problems into structured AI solution plans, detailed specifications, and prompt and context architectures.
- Drive end-to-end delivery by prioritizing requirements and managing tradeoffs across speed, stability, and scope.
- Manage multiple project-led engagements and keep senior client stakeholders aligned through delivery, reviews, and post-deployment rollouts.
- Represent enterprise users and domain experts while identifying reusable product patterns with the Platform team.
Requirements
- 4+ years of experience in product management or technical delivery roles on complex technical products.
- Fluent French for working with users and stakeholders in France.
- Fluent English for daily collaboration with international teams and strong written communication.
- Experience leading consultative enterprise discovery and managing senior stakeholder relationships through complex deliveries.
- Experience defining AI solutions from raw business problems, writing precise specifications, and shipping features under tight timelines.
- Direct experience building with LLMs, including prompt structures, context and output constraints, agentic systems, or model uncertainty.
Nice to have
- Concrete work products involving LLM-powered solutions; certification is less important than demonstrated implementation experience.
Culture & Benefits
- Hands-on work on AI systems delivering value to global enterprises.
- Direct collaboration with enterprise customers and influence over shipped solutions and platform evolution.
- Fast-paced environment focused on practical AI products that reach production.
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