Job Description

InPost Group is an innovative European out of home deliveries company, revolutionizing the way parcels are delivered to customers. With operations across several countries, our network of intelligent lockers provides customers with a fast, convenient, and secure delivery option. InPost Group is a publicly traded company, with a market capitalization of about $5 billion as of March 2023. With over 10,000 people worldwide, InPost Group is one of the largest out of home delivery providers in Europe , committed to providing sustainable and efficient delivery solutions to meet the evolving needs of customers in today's rapidly changing landscape.

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.

Please note it's a hybrid role - 1 day per week from the office in Cracow or Warsaw

What you'll own

• 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.

Qualifications

What we're looking for

• 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.

Nice to have

• Experience with conversational AI, LLMs, or recommendation engines.
• Background in e-commerce or logistics.
• International working experience.

What matters beyond the CV

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.

Additional Information

• 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.