Delivery Product Manager

You will start by building the system as part of our team, working in a focused, greenfield setup. After a few months of introduction to the project, you will seamlessly continue working on the same product directly with the client, becoming part of the client’s team responsible for its long-term development and scaling. There is no handover phase and no context switching - you stay with the same codebase, product, and technical challenges, while gaining long-term ownership and impact.

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  Own end-to-end delivery of an AI-powered product - from concept to launch, and then scaling

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  Evolve and execute the roadmap, shaping scope and ensuring alignment between product vision, technical feasibility, and timelines

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  Lead a cross-functional team of engineers and internal partners to deliver scalable, production-ready solutions

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  Identify risks, manage dependencies, and communicate trade-offs to guide business decisions

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  Drive transparent communication of progress, risks, and issues to stakeholders and leadership

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  Contribute to shaping the product vision by exploring solution options, researching approaches, and validating directions that support expected outcomes

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  Continuously adapt plans based on delivery insights, changing scope, and business priorities

• 2-3+ years in a similar role, leading initiatives from concept to release, ideally with AI product exposure

• Results-oriented, proactive, “founder mindset” - takes initiative, solves problems creatively, delivers tangible impact

• Experience in e-commerce or marketplace environments

• Effective in fast-changing, multi-tasking environments

• Strong analytical thinking - understands business impact of product decisions, AI model costs, and data visualizations

• Product Analytics - independently formulate questions, work with data (SQL / BI tools), interpret results, and generate product insights

• A/B Testing - define hypotheses, success metrics, and rollout plans

• LLM Evaluation / AI Quality- understand AI evaluation frameworks (LLM-as-judge, RAGAS), define quality criteria, plan evaluation cycles

• Topic Modeling / NLP Basics - extract insights from text (topic modeling, intent clustering), interpret results, and ask the right questions

• Knowledge of LLM/AI tools such as Claude, Lovable, Codex, ChatGPT, Cursor, v0, Bolt, Perplexity

• Ability to prototype, quickly test AI solutions (vibecoding), and derive actionable insights

• Skilled at balancing trade-offs between quality, scope, and timelines while transparently reporting risks and progress

• Excellent communication - clearly present risks, trade-offs, and impact to stakeholders, technical teams, and C-level

• Stay updated on AI and e-commerce trends, applying innovative approaches to product development
  

• Work with an experienced team that continually shares knowledge and is not afraid of testing new solutions

• Flexible hours

• Individual work tools – Macbook Pro, Dell screen, JBL headphones? You can tailor the equipment to your needs

• Sport & wellness benefit (Kafeteria MyBenefit)

• Private medical care

• A comprehensive benefits package after transitioning to our partner, including employee benefits, training opportunities, and occasional bonuses