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Publicerad 2024-03-28

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Kognic is on a mission to make everything that moves autonomous. We help AI product teams better understand their data by providing the best dataset management platform for sensor-fusion datasets. We are an ambitious team, building a global company together. We are now looking for someone to lead our platform team, want to join us?

The Role

As our Engineering Manager for Platform Engineering, you lead, coach, and manage the team and staff. You will work with a group of driven, high-skill platform engineers and interface with developers and stakeholders across the company. The team serves our product organisation with a globally capable cloud platform and paves the road for product teams to operate their services easily and confidently. It works with everything from Google Cloud and Kubernetes to CI/CD and observability.

You will be our cloud and platform specialist in business conversations, guiding the company towards excellent outcomes. You will advocate our paved road philosophy and facilitate the scoping and slicing of increments to achieve a high velocity of valuable, viable, usable, and feasible increments.

Adapting and evolving our SaaS platform capabilities to meet increasing customer demands and provide an excellent developer experience is crucial for our success. We need to strategically transform our capabilities to leverage hybrid-cloud environments, cater to enterprise needs, and leverage security certifications to enable business success. We embrace petabytes and scalability while acknowledging that speed and simplicity are essential for success.

You are responsible for the employee lifecycle, including salary and performance review. We believe in empowered high-skill teams, and attracting and growing top-performing talents with various skill sets is vital to your success. We foster a culture of innovation, collaboration, empowerment, and trust in the team and that their objectives and missions inspire the delivery of a world-class platform. You manage our cloud and balance solutions based on costs and effort. You are a member of the Engineering Management Team and report to the VP of Engineering, as well as part of the company’s extended management team.

We are looking for you!

We seek individuals who shine in technical and leadership contexts. Besides your platform knowledge, we value that you are a team player with good communication skills and you have a growth mindset and value outcomes over activities.

Why Kognic?

We are in it to win, and have a lot of fun while doing it! To be part of Kognic is to be part of a purpose-driven company with strong values where we, together, create what Kognic will be tomorrow. Besides working with around 120 talented and humble people, from many different nationalities, in a fun and creative environment, we also have many other great benefits!

  • Working in the exciting field of AI and playing an important part in the world’s next great technological leap

  • A hybrid work model  and an employer that prioritises life-work balance

  • Lots of team and office events, parental pay, salary exchange, great health benefits, order your own computer, place your own pension—to name a few

From our early days as a pure start-up to our current life as a scale-up, we work in a dynamic environment, which means that every day might be different from the next, but that is exactly how we want it. Kognicians all have a strong desire to explore uncharted territory and a willingness to constantly be learning.

Join us! 

We recommend that you submit your application as soon as possible. We select and perform interviews continuously. If you have any questions regarding the position, please contact our VP of Engineering, Jakob Andersson, at [email protected].

About Kognic

Kognic was conceived in the curious minds of Daniel Langkilde and Oscar Petersson, two engineering students, who dared to dream big and help machines make sense of our messy, chaotic, and unstructured world. Kognic's pioneering dataset management solution helps companies accelerate the development of high-performing and trusted AI products, focusing on bringing the most advanced driver-assistance systems (ADAS) and autonomous driving (AD) to market.

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