Engineering Manager
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 :
- 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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