InPost

AI product manager in e-commerce

In short

Senior product manager role leading Von Halsky, InPost's AI-powered shopping assistant embedded in its app, covering product vision, use case discovery, eval stack ownership, and go-to-market strategy. The company is a logistics/e-commerce player building an LLM-driven conversational shopping experience. Requires 3+ years of PM experience on ML/AI products, hands-on LLM production experience including evals, and fluent English and Polish. Hybrid role based in Warsaw on a B2B contract.

About the Role
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.
Responsibilities
•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
Requirements
•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
Nice to have
•Experience with conversational AI, LLMs, or recommendation engines
•Background in e-commerce or logistics
•International working experience
Conditions
•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, 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
•B2B type of contract

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