CALLING ALL TRANSFORMATIVE ENGINEERING MANAGERS!

Are you a natural leader with a passion for empowering teams and driving operational excellence in AI and machine learning? Whether you come from a ML/AI engineering, data engineering or software engineering background, Trustpilot is looking for a driven Engineering Manager to lead our AI Platform team!

IDEAL QUALIFICATIONS:

• Experience managing and leading ML/AI Ops, Data platform or software engineering teams.
• Strong technical background as a ML, Data, Software Engineer or a Data Scientist.
• Strong understanding of engineering principles and a willingness to learn and work with AI and ML operational challenges.
• Strong communication and stakeholder management skills, able to navigate complex technical and business challenges and turn them into actionable goals.
• A passion for building teams and coaching engineers to grow in their careers, whether from an AI, ML, data, or software background.

STILL NOT SURE?

We are Open to All, which means we want everyone to feel like they can see themselves at Trustpilot. We’re keen to hear about your experiences as well as how you can help to create a fantastic culture for our amazing Trusties. So, don’t worry if you’re looking at this job description and feel like you don’t meet all the requirements, we’d still really like to hear from you!

ABOUT US

Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve.
Today, we have more than 300 million reviews and 64 million monthly active users on average across the globe, with 140 billion annual Trustbox impressions, and the numbers keep growing. We have more than 1,000 employees and we’re headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York.
We’re driven by connection. It’s at the heart of what we do. Our culture keeps things fresh –– it’s built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas.
Our purpose to help people and businesses help each other is a tall order, but we keep it real. We’re a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you –– we give you the autonomy to shape a career you can be proud of. If you’re ready to grow, let’s go.

• Lead, mentor, and inspire a team of engineers, fostering a collaborative and high-performance environment.
• Drive the team’s technical vision, ensuring alignment with business goals and best practices in AI and ML operations.
• Own the delivery process, ensuring initiatives are implemented on time and to the highest standards of quality, scalability, security, and reliability.
• Identify opportunities for process improvement, removing roadblocks and driving innovation in how we productionise AI and ML models.
• Support career growth for your team, creating pathways for learning and development, and providing regular feedback.
• Collaborate with Data Science, Platform, and Product teams to ensure AI and ML models are deployed, monitored, and maintained effectively.
• Promote best practices in model deployment, observability, CI/CD for ML, and responsible AI principles, helping engineers embed these into their workflows.
• Oversee the development and implementation of scalable AI and ML pipelines, ensuring efficient experimentation, versioning, and monitoring of models.
• Partner with other engineering and product leaders to shape Trustpilot’s overall AI and ML strategy while fostering cross-functional collaboration.
• Champion operational excellence in AI and ML, ensuring models are reliable, reproducible, and continuously improved.