Engineering Manager Golang

Job Description:

• Location: Fully remote, EU timezone (CET +/- 2hours)
• Start date: ASAP
• Languages: English is mandatory; French is a plus
• Our client: Cloud Computing / Blockchain / AI - European Saas

Responsibilities:

• Lead and oversee the engineering team in product development, from defining technical requirements to implementing the product roadmap and delivering solutions to the market efficiently.
• Collaborate closely with the product management team to ensure strategic and operational alignment between product development objectives and technical goals.
• Play a key role in strategically positioning our client's distributed cloud computing offerings and contributing to business modeling efforts.
• Mentor and develop technical and managerial skills within the engineering team, fostering a culture of continuous innovation and technical excellence.
• Ensure disciplined agile project management, implementing best engineering practices and optimizing development processes for maximum efficiency.
• Collaborate with external partners in the Joint Development Program to co-create compelling cloud computing offerings, catering to a diverse range of clients from SMBs to corporates.
• Coordinate product delivery efforts with Marketing and Sales teams, ensuring smooth communication and shared understanding of goals.
• Act as the internal advocate for business customers, ensuring their needs and feedback are heard and addressed effectively.
• Promote the development of a vibrant developer ecosystem around computing technologies.

Required Qualifications:

• Hands on experience using Golang.
• 5-8 years of proven experience as an Engineering Manager, with significant experience in managing engineering teams in agile product development environments.
• Strong problem-solving, project management, and team leadership skills.
• Demonstrated experience in managing agile project development cycles with discipline.
• Experience in B2B sales of Software as a Service (SaaS) and technology solutions.
• Familiarity with compute-intensive workloads, such as AI inference and training, genAI, big data analytics, etc., is a significant plus.
• Strong analytical skills, with experience in using instrumentation and visualization tools.
• Excellent communication skills.