Are you an experienced team lead with a passion for
machine learning and big data? We are looking for someone to help propel
our AI team to the next level. The successful application of machine
learning in business-to-customer interactions continues to be one of the
big missed opportunities in consumer tech. Do you agree and want to do
something about it? Contact us with your resume!
Who is Relay42?
Relay42
has grown from a start-up to a champion in data marketing technology in
Europe. We help top brands to achieve a 360-degree view of their
customers by connecting all data points and personalizing their
communication across all channels and devices. Following Series-A
investment, we have become a market leader in the Netherlands; and we
are now connecting the rest of Europe.
Your role:
As the
AI Team Lead you will be developing the vision for our AI proposition.
It will be your responsibility to deliver on that vision together with a
team consisting of Machine Learning and Machine Learning Infrastructure
Engineers. The AI proposition is part of a wider Relay42 product
offering that includes Tag Management, Data Management and Journey
Orchestration. The AI module is integrated with the existing product
offerings, enabling our clients to leverage machine learning in all
touchpoints of their customer interactions. Your role will consist of
making sure that the AI module matches user expectations and meets user
needs, integrates with the existing functionalities of the platform, and
– of course – is delivered ahead of schedule.
Your responsibilities:
- Setting & delivering on the roadmap for the AI team in line with all business and development stakeholders.
- Developing and refining the product vision for the AI proposition.
- Managing the performance and growth of the individual team members, enabling them to reach their maximum potential.
- Building an AI team that is part of the future of Relay42.
What are we looking for?
Our ideal
candidate has experience managing a development team and
productionalizing AI models in a commercial context. Additionally, the
candidate should have a strong understanding of and demonstrable
hands-on experience with machine learning best practices, statistical
learning, and software engineering.
What’s in it for you:
Competitive
salary and great benefits. Working with a highly motivated team with a
mission to make machine learning more widely available in consumer
firms. And last but not least, the opportunity to work in an informal
environment on projects that impact millions of consumers worldwide.
· Standing desk (chair included)
· Organic lunch. Healthy and less healthy snacks all day long
· Games and Fun; ping-pong football, darts
· Sports! Weekly, on-premise, kickboxing training
· Flexible working hours and workspace
· Weekly drinks, monthly parties and quarterly “surprises”
· Pension scheme