Engineering Manager - AI team
Amsterdam
DataSnipper
We are looking for a skilled and passionate Engineering Manager to join our team in the Amsterdam office. With 500,000 auditors across the globe using our tool daily, we are constantly working on product improvements and leveraging opportunities to scale further.
In this role, you will lead a team of ML engineers and Senior Software Engineers who are working on innovative, brand-new AI features that empower our products and bring delight and automation to our customers.
What You Will Do:
Lead a team of smart and highly motivated Software Engineers
Actively work on the career growth of your team while setting clear objectives and addressing performance issues if they arise
Design and build software architecture to support features that are being built
Ensure timely delivery of our roadmap while improving the reliability of the team
Improve efficiency and sustainability of the processes we have
Coaching and mentoring team members around technical aspects of their jobs
Guide and help the team through technical issues and challenges
Support our company’s operations by teaming up with your product colleagues to build a clear product roadmap
Team up with business stakeholders and cross-functional teams to ensure to building solutions that add customer value
What You Bring:
At least 3 years of experience leading and managing a team (systematic 101s, feedback sessions, performance reviews, professional development etc.)
At least 5 years of experience as a Software Engineer
Entrepreneurial mindset with the ability to work effectively in an ever-changing scale-up environment
BS or higher degree in Computer Science or equivalent
Experience with some of the following technologies: Python, C#, React, JavaScript, ASP.NET Core, Microsoft Azure, MongoDB, Git
Experience with DevOps and CI/CD pipelines
Passionate about high-quality coding standards and testing of code
A collaborative approach, being open to helping team members
Proactive mindset and excellent project and time management skills
Recruitment process:
1. Call with the Recruiter - 30 minutes
2. Call with the Hiring Manager - 45 minutes
3. Home task + onsite home task presentation
4. Cultural add interview + lunch with team in the office
5. Final interview with the VP of Product & Engineerring
Apply and let's chat soon! 😊🚀
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure CI/CD Computer Science DevOps Engineering Git JavaScript Machine Learning MongoDB .NET Pipelines Python React Testing
Perks/benefits: Career development Startup environment
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