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InPost приглашает PM с опытом работы над ML/AI продуктами в команде Von Halsky для создания интеллектуального шоппинг-ассистента в приложении InPost. Ваша задача — формировать стратегию и дорожную карту, координировать работу инженеров и бизнес-стейкхолдеров, а также проводить эксперименты и оценки эффективности моделей.
У кандидата ожидаются 3+ года в роли PM над ML/AI продуктами, знание англ и польского языков на высоком уровне, умение работать в условиях неопределенности и измерять результаты
Ready to build one of InPost's most ambitious AI products? Join the Von Halsky team - an initiative to create an intelligent shopping assistant embedded directly in the InPost app. Von Halsky is more than a chatbot. It's an AI-powered shopping experience designed to accompany users at every stage of their journey: from product discovery and personalised recommendations, all the way through to checkout and Parcel Locker delivery.
Product vision and roadmap for the assistant - grounded in user behaviour, business value, and what the models can actually do today. Use case discovery and prioritisation: finding the best worth making, designing experiments to validate them. Quality and performance of the product - which means owning the eval stack alongside engineering: what we measure, how we judge model output, and how we close the loop from user feedback to model improvement. Go-to-market strategies for consumers. Cross-functional delivery with engineers, other PMs, and business stakeholders.
3+ years as a PM on a product with a meaningful ML/AI component. Hands-on familiarity with LLMs in production: prompt pipelines, retrieval, and - critically - how you know whether the thing is working. You've thought seriously about evals. Comfortable reading model metrics, A/B results, and qualitative user research, and synthesising them into decisions. Strong communicator who can explain model tradeoffs to a business audience without oversimplifying. Fluent English and Polish level. You care about whether the product actually helps users, not just whether it shipped. You're sceptical of vibes-based quality assessment and default to measurement. You operate well in ambiguity. Будет плюсом: Experience with conversational AI, LLMs, or recommendation engines; Background in e-commerce or logistics; International working experience
Access to e-learning platforms- eTutor, GoodHabitz, Data Camp, and more. A wide range of benefits, including the MultiSport+ card, private healthcare, and group insurance, is available on the Worksmile platform. External and internal growth opportunities - conferences, trainings, workshops. Chances to broaden your skill set and acquire new competencies through daily work, challenging projects, and training activities. We offer a B2B type of contract.