Engineering Manager - Cloud
Engineering Manager - Cloud

Engineering Manager - Cloud

Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
Dataiku

At a Glance

  • Tasks: Lead a team to build and enhance cloud infrastructure for AI success.
  • Company: Join Dataiku, a leader in AI orchestration and innovation.
  • Benefits: Competitive salary, career growth, and a collaborative work environment.
  • Why this job: Shape the future of AI while developing your leadership skills.
  • Qualifications: Experience in distributed systems and team management.
  • Other info: Diverse and inclusive workplace with a focus on personal growth.

The predicted salary is between 36000 - 60000 ÂŁ per year.

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi‐vendor environments with centralized governance. The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value.

Dataiku Cloud provides a fully‐managed offering for customers to use Dataiku. The team builds and maintains the infrastructure required to run the data science platform at scale in the cloud, as well as building tools for users to manage their instance with ease. We build the launchpad, a SaaS portal where users can create and access their Dataiku instances, configure the instance in as few clicks as possible and monitor its usage.

About The Role

We are looking for a hands‐on Engineering Manager to build and guide a new squad within the Cloud Engineering team. You will take the lead of a team of engineers, collaborating closely with SRE, Product, and Ops/Analytics to align technical decisions with business value. Your focus will be on balancing leading from the front with team scalability, establishing engineering standards, and driving the delivery of Cloud features.

What You’ll Do

  • Technical Leadership: You will focus on high‐leverage contributions: architecture design, complex code reviews, paying down technical debt, and prototyping. You ensure the technical implementations match our long‐term vision and business goals.
  • Team Building & Growth: You will handle recruitment, onboarding, and the career development of your team. You will be responsible for their performance reviews and growth plans.
  • Active Technical Contribution: You will maintain a presence in the codebase by working on non‐critical path features and chores. You ensure the team has the right technical foundation to move fast.
  • Delivery Management: You will collaborate with Product to translate roadmaps into features, while consistently driving for an ambitious yet sustainable team velocity.
  • Cross‐Functional Influence: You will act as a key stakeholder in the Cloud organization, collaborating with SRE, Product, and other Engineering Managers to build the roadmap.

Who You Are

  • Technical Leadership and Vision: You possess a good understanding of distributed systems (Python/K8s/Vue.js). You excel at breaking down product requirements into scalable technical plans. You can guide the team through complex architectural trade‐offs.
  • People Leadership: You have successfully mentored engineers and provided constructive feedback that helped others grow. You prioritize the team's collective success over your individual contributions.
  • Organizational Awareness: You know how to navigate cross‐team relationships to unblock your team. You frame technical decisions in terms of business value and are comfortable aligning your team's roadmap with broader initiatives.

Technical Stack

  • Core Backend: Python, PostgreSQL.
  • Frontend: TypeScript, Vue.js.
  • Infrastructure: Kubernetes (k8s), AWS.
  • Observability: Grafana, Prometheus.
  • Dataiku DSS: You will be orchestrating Dataiku DSS instances, so familiarity with data platforms is a plus.

At Dataiku, you’ll be part of a journey to shape the ever‐evolving world of AI. We’re not just building a product; we’re crafting the future of AI. If you’re ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can’t wait to welcome you to Dataiku!

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate.

If you need assistance or an accommodation, please contact us at: reasonable‐accommodations@dataiku.com

Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video‐conference application, Zoom, we will also never ask you to make purchases or download third‐party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity.

Engineering Manager - Cloud employer: Dataiku

Dataiku is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for an Engineering Manager in Cloud. With a strong focus on employee growth, you will have the opportunity to lead a talented team while contributing to cutting-edge AI solutions. Located in a dynamic environment, Dataiku offers a supportive atmosphere where diverse identities are celebrated, ensuring that every team member can thrive and make a meaningful impact.
Dataiku

Contact Detail:

Dataiku Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Engineering Manager - Cloud

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Prepare for those interviews! Research the company, understand their products, and be ready to discuss how your skills align with their needs. Practise common interview questions and have your own questions ready to show your interest.

✨Tip Number 3

Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. Highlight any relevant experience that aligns with the role, especially in cloud engineering and team leadership.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Dataiku!

We think you need these skills to ace Engineering Manager - Cloud

Technical Leadership
Architecture Design
Code Reviews
Technical Debt Management
Prototyping
Team Building
Recruitment
Onboarding
Career Development
Performance Reviews
Delivery Management
Cross-Functional Collaboration
Distributed Systems
Python
Kubernetes
AWS
TypeScript
Vue.js
PostgreSQL
Grafana
Prometheus

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Engineering Manager role. Highlight your experience with distributed systems and team leadership, as these are key aspects of what we're looking for.

Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise, especially in Python, Kubernetes, and cloud infrastructure. We want to see how your skills align with our tech stack and how you can contribute to our Cloud Engineering team.

Demonstrate Leadership Experience: Share examples of how you've successfully mentored engineers and led teams. We value people who prioritise collective success, so let us know how you've fostered growth and collaboration in your previous roles.

Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you're keen on joining our team!

How to prepare for a job interview at Dataiku

✨Know Your Tech Stack

Make sure you’re well-versed in the technical stack mentioned in the job description, especially Python, Kubernetes, and AWS. Brush up on your knowledge of distributed systems and be ready to discuss how you've used these technologies in past projects.

✨Showcase Your Leadership Skills

Prepare examples that highlight your experience in mentoring engineers and leading teams. Be ready to discuss how you’ve handled recruitment and career development, as well as how you prioritise team success over individual contributions.

✨Align Technical Decisions with Business Goals

Think about how you can frame your technical decisions in terms of business value. Be prepared to discuss how you would translate product roadmaps into actionable features while maintaining a sustainable team velocity.

✨Demonstrate Cross-Functional Collaboration

Be ready to talk about your experience working with cross-functional teams, such as SRE and Product. Highlight specific instances where you navigated relationships to unblock your team and drive project success.

Engineering Manager - Cloud
Dataiku

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