AI/ML Product Manager

We’re Hiring: AI/ML Product Manager

Direct employment from day one

Are you passionate about connecting Product, Data, and AI?

Do you enjoy taking a business challenge, turning it into an ML opportunity, and driving it all the way to a solution with measurable business impact?

We’re looking for an AI/ML Product Manager to join our AI unit and lead the full lifecycle of ML-powered products — from identifying the business need and exploring the opportunity, through scoping and development, to implementation, impact measurement, and continuous optimization.

What you’ll do

🔹 Own the end-to-end lifecycle of ML products — from identifying business needs and opportunities through research, scoping, development, implementation, and measuring business impact.

🔹 Lead the scoping process — define the business problem, clarify product goals, shape the solution, and translate business needs into clear requirements for Data Science and Engineering teams.

🔹 Partner with business units to identify and evaluate opportunities where Machine Learning can create value, improve processes, and drive better business outcomes.

🔹 Conduct research and analysis before model development — including understanding the current state, exploring data, performing statistical analysis, and assessing business and analytical feasibility.

🔹 Lead business and analytical feature mapping across multiple data sources, understanding feature relevance and their potential contribution to model performance.

🔹 Define success metrics and measurement methodologies for both the ML model and its business impact, and drive continuous improvement and optimization.

🔹 Collaborate closely with Data Science, Engineering, and business teams, serving as the bridge between business needs, data, technology, and product.

What we’re looking for

✔️ Experience in Product Management or leading data-driven products/processes

✔️ Experience as an Analyst, including hands-on SQL experience

✔️ Strong ability to connect business needs, data, and technology

✔️ Experience leading product definition, requirements gathering, and business specifications

✔️ Strong analytical, product, and strategic thinking

⭐ Experience with Machine Learning model definition/development from a product perspective — a significant advantage