1. What is an Engineering Manager at Dataiku?

At Dataiku, the Engineering Manager role is a pivotal leadership position that bridges the gap between complex technical challenges and human-centric team growth. You are not just managing a backlog; you are empowering a team of engineers to build Dataiku DSS (Data Science Studio), the platform that enables organizations to democratize AI. This role sits at the intersection of product delivery, technical strategy, and people development, directly impacting how customers leverage AI, machine learning, and data analytics at scale.

This position requires a leader who can navigate the technical intricacies of a robust data platform—covering areas like distributed computing, ML pipelines, and visual interfaces—while fostering a collaborative and inclusive culture. You will be responsible for the health and happiness of your team, ensuring they have the context and resources to succeed. Unlike pure technical leads, your primary product is the team itself; your success is measured by their ability to deliver high-quality software sustainably.

You will likely work within a specific feature team or technical domain (such as Core Infrastructure, Machine Learning, or Connectivity). The role demands a balance of strategic thinking and hands-on guidance. You are expected to champion engineering best practices, advocate for technical debt reduction, and collaborate closely with Product Managers to ensure the roadmap aligns with both business goals and technical reality.

2. Common Interview Questions

3. Getting Ready for Your Interviews

Preparation for the Dataiku Engineering Manager interview requires shifting your mindset from "individual contributor" to "organizational leader." You need to demonstrate that you can drive results through others while maintaining technical respect.

Key evaluation criteria for this role include:

People Management & Mentorship Dataiku places a massive emphasis on empathy and growth. Interviewers will evaluate your philosophy on hiring, retention, and career development. You must demonstrate how you handle performance issues, resolve interpersonal conflicts, and foster psychological safety within a diverse, often distributed team.

Delivery & Process Management You will be assessed on your ability to deliver software reliably. This includes your approach to Agile methodologies, project estimation, and risk management. You need to show how you balance speed with quality and how you handle roadmap changes or missed deadlines without burning out your team.

Technical Judgment & Context While you may not be live-coding, you must possess strong technical judgment. Interviewers will look for your ability to participate in architectural discussions, understand the trade-offs in system design (particularly in the context of data and AI), and guide the team through complex technical decisions.

Communication & Stakeholder Management As an Engineering Manager, you are the translation layer between engineering and the rest of the business. You will be evaluated on your ability to communicate complex technical concepts to non-technical stakeholders and how you negotiate priorities with Product Management.

4. Interview Process Overview

The interview process for an Engineering Manager at Dataiku is designed to be comprehensive and interactive, testing your practical management skills rather than just your theoretical knowledge. Based on recent candidate experiences, the process typically begins with a recruiter screen focused on cultural fit and your interest in the AI/ML space. This is followed by a conversation with a Hiring Manager to dig into your management history and leadership style.

A distinctive feature of the Dataiku Engineering Manager process is the inclusion of a practical simulation or "Role Play." Unlike standard Q&A sessions, this stage often involves a business case sent to you in advance (typically a week prior). You will then act out a scenario—such as a difficult 1:1, a roadmap negotiation, or a crisis management meeting—with the Hiring Manager and potentially another team member. This format allows Dataiku to see your leadership style in action, not just hear about it.

Candidates should expect a process that values thoughtfulness and preparation. The interviewers are looking for authentic leaders who can handle ambiguity. The "Role Play" segment specifically tests your ability to internalize context and react professionally under pressure. It is rigorous but generally regarded as a fair way to assess actual job performance.

The timeline above illustrates the typical flow from initial contact to the final decision. Use this visual to plan your preparation; note that the "Role Play / Business Case" is a critical juncture that requires significant dedicated prep time compared to standard behavioral rounds.

5. Deep Dive into Evaluation Areas

The evaluation for this role is structured to assess your capabilities across leadership, execution, and technical understanding. Drawing from candidate insights, here are the core areas you must prepare for.

People Management & Leadership

This is the most heavily weighted area. Dataiku wants to know if you can build and sustain a high-performing team. Strong performance here means showing high emotional intelligence and a structured approach to management challenges.

Be ready to go over:

• Performance Management – How you identify underperformance early and the specific steps you take (PIPs, coaching) to address it.
• Career Growth – How you align individual engineer goals with business needs.
• Conflict Resolution – Specific examples of resolving disputes between engineers or between engineering and product.
• Hiring – Your philosophy on building diverse teams and what you look for in engineering candidates beyond code.

Example questions or scenarios:

• "Tell me about a time you had to manage a high-performer with a bad attitude."
• "How do you handle a situation where a team member is consistently missing deadlines?"
• "Describe your strategy for keeping a team motivated during a long period of technical debt remediation."

Project Management & Delivery

You will be tested on your ability to ship software. This isn't just about Jira tickets; it's about predictable delivery and managing external expectations.

Be ready to go over:

• Agile/Scrum Methodologies – Your preferred flavor of Agile and how you adapt it to the team's needs.
• Prioritization – How you make trade-offs when the scope is too large for the timeline.
• Cross-functional Collaboration – How you work with Product Managers and Designers to define requirements.

Example questions or scenarios:

• "The Product Manager adds a critical feature two weeks before the deadline. How do you handle it?"
• "Walk us through a project that failed or was significantly delayed. What was your role and what did you learn?"
• "How do you measure the velocity and health of your engineering team?"

The Role Play / Business Case

This is the practical application of the skills above. You will likely receive a document outlining a fictional team scenario (e.g., "Team X is burnt out and the Tech Lead is threatening to quit").

Be ready to go over:

• Scenario Analysis – Quickly identifying the root cause of the problem presented in the case.
• Active Listening – During the role play, you must listen to the "actor" (interviewer) and adapt, not just stick to a script.
• Actionable Outcomes – Moving the conversation toward a resolution or a clear next step.

Example questions or scenarios:

• Scenario: A simulation of a 1:1 meeting with a disgruntled engineer who feels their work is undervalued.
• Scenario: A roadmap negotiation where stakeholders are demanding impossible timelines.

Technical Strategy

While you won't likely write code, you must prove you can manage the technology.

Be ready to go over:

• Technical Debt – How you advocate for refactoring against feature work.
• Architecture Review – How you facilitate technical decisions without dictating them.
• System Design – High-level understanding of distributed systems, SaaS architecture, or ML pipelines (depending on the specific team).