onsite

Technical Product Manager with AI / ML Experience

The Technical Product Manager will collaborate with business and technical leaders to define, deliver, and manage strategic AI/ML projects, creating roadmaps, prioritizing tasks, and ensuring project targets are met. This role requires a strong technical background in Data Science or Machine Learning Engineering and the ability to communicate complex topics to diverse stakeholders.

About the role

About the Role

Hydrogen Group is seeking an experienced Technical Product Manager with strong communication and technical skills. The ideal candidate will have a hands-on technical background within Data Science or Machine Learning Engineering, coupled with a product mindset and excellent organisational and stakeholder management skills.

This is a 12-month INSIDE IR35 contract.

Key Responsibilities

Strategic Partnerships: Collaborate with business owners and technical leaders to define and deliver strategic machine learning projects.
Roadmap Development: Create and communicate a roadmap of planned and potential work.
Project Management: Develop schedules, prioritize tasks, and ensure project targets are met within agreed timeframes.
Collaboration: Engage partners with diverse perspectives to develop and implement solutions.
Technical Understanding: Gain deep knowledge of the client's B2B business and drive AI product delivery through agile practices.
Performance Metrics: Define and report key results and performance metrics.
Communication: Keep stakeholders informed of progress, scope changes, and project schedules.
Risk Management: Identify and mitigate risks and issues.
Workflow Optimization: Streamline workflows by assessing and addressing bottlenecks.
Clear Communication: Explain complex topics to stakeholders and executives in straightforward language.

Required Skills and Experience

Passion for AI and Machine Learning: Strong enthusiasm for AI, machine learning, and software systems.
Technical Background: Solid experience in delivering machine learning products through agile methodologies.
Documentation Skills: Ability to create clear and well-structured functional materials (policies, procedures, guidelines, presentations, messages).
Narrative Skills: Communicate compelling rationales and narratives about team products and services.
Foundational Knowledge: Familiarity with business, economics, mathematics, statistics, and computer science concepts.
Preferred Experience: Background as a machine learning scientist, machine learning engineer, software developer, or product manager.

Functional Activities

Strategic ML Deliverables: Partner with business and technical leaders to define and execute ML projects.
Roadmap Communication: Develop and share a comprehensive work plan.
Project Scheduling: Plan and prioritize tasks to meet deadlines.
Solution Development: Collaborate with diverse partners to create effective solutions.