Job Description:
Location: Fully remote, EU timezone (CET +/- 2 hours)
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.
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