
Product Designer
Matillion 🇬🇧 Manchester, England, United Kingdom
The role involves designing end-to-end experiences across research, exploration, prototyping, testing, and high-fidelity delivery, focusing on translating complex technical workflows and AI behaviors into clear interactions. Responsibilities also include collaborating with Product and Engineering to deliver high-quality work and balancing rapid experimentation with scalable solutions.
Responsibilities
- Designing end-to-end experiences across research, exploration, prototyping, testing and high-fidelity delivery
- Translating complex technical workflows and AI behaviours into clear, trustworthy and intuitive interactions
- Using data, behavioural psychology and experimentation to test assumptions and understand what actually drives user value
- Collaborating closely with Product and Engineering to explore opportunities and deliver thoughtful, high-quality work
- Balancing rapid experimentation with scalable, long-term solutions and learning when to move fast and when to dig deeper
- Contributing to a positive, inclusive and collaborative team culture
Requirements
- 3–5 years of experience solving complex problems in fast-paced SaaS environments
- A genuine interest in AI-driven experiences and emerging interaction patterns
- A portfolio that demonstrates strong end-to-end problem solving and clear reasoning, paired with sharp visual and interaction design skills
- The confidence to independently own projects as the definitive voice of Product Design, backed by excellent communication skills
Benefits
- Competitive salaries in line with market standards
- Estimated compensation range for this position is £40,000 - £60,000
- Company Equity
- 30 days holiday + bank holidays
- 5 days paid volunteering leave
- Health insurance
- Life Insurance
- Pension
- Access to mental health support
Key Skills
About Matillion
In 2025, Matillion introduced Maia, the industry’s first AI Data Automation platform for building data products without limits. The core of Maia consists of tightly integrated components, each designed to support data teams as they move from maintenance to ownership. - Maia Team brings an always-on set of expert AI agents that handle the repetitive, time-consuming data work—building, modifying, optimizing, and maintaining pipelines as systems evolve—freeing teams to focus on higher-value outcomes without losing control. - Maia Context Engine captures business rules, standards, and institutional knowledge, ensuring data products remain transparent, reusable, and deterministic as they evolve. - Maia Foundation provides the enterprise backbone, with security, governance, observability, and scale built in from the start. This design ensures compliance with data regulations and maintains trust, so teams can move fast without compromising control or risking data security. Together, these
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