About the role

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. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.

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.

What are you waiting for!

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! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.

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. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com

Protect yourself from fraudulent recruitment activity

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 here.

Skills & Tags

python typescript go aws kubernetes machine learning ai frontend

Aplyr's read

Dataiku stands out as a collaborative data science platform, attracting professionals who thrive on building AI and machine learning solutions for diverse industries.
Synthesized from recent postings & public sources

What's promising

•Dataiku's platform facilitates seamless collaboration among data teams, enhancing productivity.
•The company is expanding globally, offering diverse opportunities in regions like LATAM and ASEAN.
•Dataiku's focus on AI and machine learning positions it well in the growing data-driven decision-making market.

What to watch

•The competitive landscape in data science platforms poses a constant challenge.
•Rapid global expansion may strain existing resources and infrastructure.
•Keeping up with fast-paced AI advancements requires continuous innovation and adaptation.

Why Dataiku

•Dataiku offers a user-friendly interface that democratizes access to data science tools.
•The platform's collaborative features are designed to integrate diverse team inputs effectively.
•Dataiku supports a wide range of data sources, enhancing its versatility across industries.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Dataiku

Dataiku

dataiku.com

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Dataiku is a collaborative data science platform that enables organizations to build and deploy AI and machine learning solutions. By providing a user-friendly interface and powerful tools, Dataiku empowers teams to leverage data for better decision-making and operational efficiency.