Engineering Manager (Developer Platforms) at DataCamp

Portugal

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

EdTech, Data & AIIndustries

Requirements

3+ years of experience managing and growing engineering teams in an agile environment
5+ years of hands-on software engineering experience, combining strong backend (Node.js) and frontend (React) skills with a background in platform, infrastructure, or developer productivity domains
Proven ability to deliver impactful tooling and platforms that improve the developer experience across multiple teams
A strong sense of urgency and ownership, with the ability to move fast, stay focused on impact, and drive projects forward with momentum
A pragmatic, value-oriented mindset with the ability to balance trade-offs and drive decisions
Strong technical foundation with solid knowledge of cloud infrastructure, CI/CD systems, container orchestration, and infrastructure-as-code practices (e.g., Terraform, Ansible, Kubernetes, AWS or equivalents)
Clear understanding of scalable system design, code quality, and software lifecycle best practices
Enthusiasm for AI-assisted development (e.g., Cursor, Claude)
Strong technical background
Passionate about data education and wants to shape how the next generation of data scientists and data engineers learn
Stays current with the latest trends, tools, and technologies
Thrives in fast-paced environments
Communicates clearly and can make complex ideas easy to understand
Takes ownership and brings structure to ambiguity

Responsibilities

Build, support, and develop a high-performing full-stack engineering team through hiring, coaching, and mentorship
Drive delivery of tools, workflows, and platform improvements that elevate the developer experience across the Engineering organization
Partner with Platform Engineering peers (e.g., Infrastructure) and product engineering teams to define and execute the Developer Platform roadmap
Lead technical decision-making around tooling, CI/CD, build systems, and development environments to ensure scalability, reliability, and ease of use
Lead initiatives end-to-end, from assessing developer pain points to building solutions and driving adoption across teams
Continuously measure and improve the effectiveness of our development workflows, feedback loops, and build times
Foster a culture of ownership, urgency, and accountability within the team
Contribute to the evolution of the engineering team culture, technical standards, and organizational processes
Encourage thoughtful use of AI tooling to boost productivity and quality

Skills

Key technologies and capabilities for this role

Engineering ManagementPlatform EngineeringDeveloper PlatformsToolingWorkflowsInfrastructureFull-Stack EngineeringTechnical Roadmap

Questions & Answers

Common questions about this position

What are the key responsibilities of the Engineering Manager role?

The role involves building and developing a high-performing full-stack engineering team through hiring, coaching, and mentorship; driving delivery of tools and workflows to improve developer experience; partnering with other teams on the platform roadmap; leading technical decisions on tooling and CI/CD; and fostering a culture of ownership and accountability.

What qualifications are required for this position?

A strong technical background with 3+ years of experience is required.

What is the company culture like at DataCamp?

DataCamp values action, ownership, transparency, and a deep focus on learners, while fostering a culture of ownership, urgency, accountability, engineering excellence, and thoughtful use of AI tooling.

Is this role remote or does it require office work?

This information is not specified in the job description.

What makes a strong candidate for this Engineering Manager position?

Strong candidates have a strong technical background, passion for data education, ability to stay current with trends, thrive in fast-paced environments, communicate complex ideas clearly, and take ownership in ambiguous situations.

DataCamp

Online platform for data science education

About DataCamp

DataCamp is an online learning platform focused on teaching data science skills to individuals and businesses. It offers a variety of courses and learning paths that cover topics such as data analysis, machine learning, and statistics, using popular tools like R, Python, and SQL. Users can learn at their own pace through video tutorials and coding challenges, which are accessible from any web browser. For businesses, DataCamp provides customized plans to help employees improve their data skills, addressing the increasing need for data literacy in the workforce. The platform operates on a subscription model, allowing users to start learning for free but requiring a paid subscription for full access to all courses and features. DataCamp stands out from competitors by specifically targeting the data science niche and offering a comprehensive suite of resources tailored to both individual learners and organizations.

New York City, New YorkHeadquarters

2013Year Founded

$30.3MTotal Funding

EARLY_VCCompany Stage

Data & Analytics, EducationIndustries

1,001-5,000Employees

Benefits

Competitive salary

Stock options

Generous healthcare benefits

Fully paid parental leave

Personal development budget

Personal office equipment budget

International company trips and trainings

Free lunch and healthy snacks

Risks

Competition from AI models like Mistral's Codestral Mamba may divert potential users.

Partnership with Alteryx could lead to conflicts of interest or dependencies.

DISH Network lawsuit poses financial and reputational risks for DataCamp.

Differentiation

DataCamp offers interactive, expert-led courses in data science and AI.

The platform provides tailored business solutions for scalable employee training.

DataCamp's partnerships enhance its course offerings and social impact.

Upsides

Growing demand for data literacy boosts DataCamp's business and individual user base.

Partnerships with Alteryx and Women in Data expand DataCamp's reach and influence.

New AI models present opportunities for specialized course development.

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