Engineering Manager (Learn Product)

Europe

Apply with AI Apply

Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

EdTech, E-learning, Data Science, Artificial IntelligenceIndustries

Requirements

Candidates must possess 3+ years of experience managing and growing engineering teams in an agile environment and 5+ years of hands-on software engineering experience. A strong technical background, clear understanding of scalable system design, code quality, and software lifecycle best practices are essential. Experience with full-stack development in mainstream object-oriented or strongly typed languages is preferred. Enthusiasm for AI-assisted development and strong communication and people skills are also required, with bonus points for product intuition.

Responsibilities

The Engineering Manager will lead a cross-functional product engineering team focused on the Learn product, partnering with Product and Design to shape direction and drive execution. Responsibilities include building, supporting, and developing the engineering team through hiring, coaching, and mentorship. They will drive the delivery of high-quality web and mobile features, lead technical decision-making and system architecture, and balance short-term delivery speed with long-term platform health. The role also involves championing strong engineering practices, fostering a culture of ownership and accountability, ensuring effective collaboration, and contributing to the evolution of team culture and technical standards. Encouraging the thoughtful use of AI tooling to boost productivity and quality is also a key responsibility.

Skills

Full-stack development

Team leadership

Coaching

Mentorship

Product development

Web platforms

Mobile platforms

Technical roadmap

Software development

Agile methodologies

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.

Land your dream remote job 3x faster with AI

Try Jobo Free