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Home›Jobs›Skyscanner›Engineering Manager, Distributed Systems - Data & AI Platform
Skyscanner

About Skyscanner

Your go-to platform for easy travel bookings

🏢 Tech👥 1001+ employees📅 Founded 2003📍 Edinburgh, UK💰 $174.4m⭐ 4
B2CB2BTravelMarketplaceCarsFlightseCommerce

Key Highlights

  • Headquartered in Edinburgh, UK with 1001+ employees
  • Raised $174.4 million in Series A funding
  • Over 100 million monthly users
  • Strong focus on sustainable travel solutions

Skyscanner, headquartered in Edinburgh, UK, is a leading travel aggregator platform that simplifies the search for flights, hotels, and car hire. With over 100 million monthly users, Skyscanner has raised $174.4 million in funding and operates in both B2C and B2B markets. The company is focused on t...

🎁 Benefits

Skyscanner offers a range of benefits including 30 days every 2 years to work from another Skyscanner office, the option to purchase extra holidays, f...

🌟 Culture

Skyscanner's culture emphasizes consumer focus and innovative marketing strategies, allowing the company to grow significantly through word-of-mouth r...

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Skyscanner

Engineering Manager, Distributed Systems - Data & AI Platform

Skyscanner • London, Glasgow, Edinburgh, Barcelona

Posted 1d ago🏢 HybridLeadEngineering manager📍 London📍 Glasgow📍 Edinburgh📍 Barcelona
Apply Now →

Skills & Technologies

Machine learningDistributed systems

Overview

Skyscanner is hiring an Engineering Manager for their Distributed Systems team to lead the development of their Machine Learning Platform. You'll work with technologies related to ML and distributed systems, guiding a diverse team to enhance ML-serving capabilities. This role requires strong leadership and technical expertise in AI and platform engineering.

Job Description

Who you are

You have a strong background in engineering management, with experience leading teams focused on machine learning and distributed systems. You understand the intricacies of building scalable systems and have a passion for coaching and developing talent within your team. Your technical expertise allows you to shape the direction of projects while ensuring that your team is supported and empowered to succeed.

You possess a deep understanding of machine learning principles and have experience with ML-serving stacks. You are adept at balancing performance, cost, reliability, and usability in your technical decisions. Your collaborative nature enables you to work effectively with cross-functional teams, including Data Science and Product, to drive impactful results.

You thrive in a hybrid work environment and are comfortable navigating the challenges that come with leading a diverse team. You are committed to fostering an inclusive culture where every team member feels valued and motivated to contribute their best work.

Desirable

Experience with cloud platforms and tools that support machine learning operations would be a plus. Familiarity with data pipelines and real-time data processing can enhance your contributions to the team. A background in travel or consumer-facing technology is also beneficial, as it aligns with Skyscanner's mission to improve travel planning for millions.

What you'll do

As the Engineering Manager for the Machine Learning Platform squad, you will lead a talented group of engineers dedicated to building the foundations that power real-time machine learning across Skyscanner. Your role will involve shaping the technical direction of the ML-serving capabilities, ensuring that they are reliable and scalable. You will coach and support your team, helping them grow their skills and advance their careers.

You will collaborate closely with Data Science and Product teams to evolve the ML-serving stack, making it easier for teams across the organization to ship smarter experiences faster. Your leadership will be crucial in guiding the team through complex technical challenges and ensuring successful delivery of projects.

You will also be responsible for fostering a culture of innovation and continuous improvement within your team. By encouraging experimentation and learning, you will help your engineers stay at the forefront of technology and best practices in machine learning and distributed systems.

What we offer

Skyscanner provides a dynamic work environment where you can make a significant impact on the travel industry. We offer competitive compensation and benefits, including flexible working arrangements to support your work-life balance. You will have the opportunity to work with cutting-edge technologies and be part of a mission-driven company that values diversity and inclusion.

Join us in our journey to become the world's number one travel ally, and help shape the future of travel planning for millions of users worldwide.

Interested in this role?

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