Engineering Manager, FDE Infrastructure (EMEA)
Engineering Manager · Manager · Full Time
Opens Cohere's application page
Role
What you'll do.
Cohere is seeking an experienced Engineering Manager to lead their Forward Deployed Engineering team in the EMEA region, focusing on deploying enterprise AI infrastructure. The ideal candidate will drive technical implementations, mentor a team of engineers, and play a critical role in scaling Cohere's North platform across customer environments.
Responsibilities
- Team Leadership: Lead and mentor a team of Forward Deployed Engineers across the EMEA region, providing strategic guidance and professional development
- Platform Deployment: Drive end-to-end deployment of Cohere's North platform in private cloud and on-premises enterprise environments
- Customer Success: Take full ownership of customer technical implementations from initial engagement through final delivery
- Cross-Functional Collaboration: Collaborate closely with Product, Engineering, and Sales teams to optimize AI platform delivery strategies
- Infrastructure Optimization: Optimize performance for cloud services including OpenSearch, databases, and Kubernetes services
- Resource Scaling: Define and implement scaling guidelines for GPU and CPU compute resources to support enterprise AI deployments
Qualifications
What we look for.
Technical
Cloud Infrastructure
Extensive experience with major cloud platforms including Azure, AWS, and GCP
Containerization
Advanced knowledge of Kubernetes, Helm, and CI/CD pipeline implementation
Enterprise Deployment
Proven experience deploying enterprise software at significant scale
Education
Advanced Degree
Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field preferred
Experience
Leadership Experience
Minimum 5+ years of software engineering experience with demonstrated team leadership
Management Experience
Experience managing engineering teams in fast-paced, high-growth technology environments
Skills
Required
Cloud Infrastructure
Expertise in Azure, AWS, or GCP cloud platforms
Kubernetes Management
Advanced Kubernetes and Helm configuration skills
Leadership
Strong people management and mentorship capabilities
Preferred
AI/ML Infrastructure
Nice to haveExperience with AI and machine learning deployment technologies
Enterprise Security
Nice to haveBackground in enterprise security and compliance frameworks
Multilingual Capabilities
Nice to haveFluency in additional European languages
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 180,000 – 250,000
Equity·Stock options
Benefits
Vacation
6 weeks of paid vacation annually
Learning Allowance
$2,000 annual budget for professional development
Equity
Stock options provided to employees
Health Benefits
Comprehensive health and dental coverage with additional mental health budget
Parental Leave
100% salary top-up for up to 6 months of parental leave
Work Flexibility
Remote-first work arrangement with global office locations
Co-working Stipend
Stipend for co-working space or home office setup
Process
Interview steps.
- 01
Initial Screening
Preliminary review of application and qualifications
- 02
Technical Interview
In-depth discussion of technical skills and enterprise deployment experience
- 03
Leadership Assessment
Evaluation of management capabilities and team leadership potential
- 04
Final Interview
Meeting with senior leadership to discuss strategic fit and vision alignment
Full posting
Original listing.
Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
About the Role
We're looking for an Engineering Manager to lead our Deployment Engineering team in EMEA. This isn't a typical management role — we need someone who leads from the front, gets their hands dirty, and drives impact. You'll manage a team of Forward Deployed Engineers who are on the front lines of deploying Cohere's North platform into customer environments. You should be ready to be a force to be reckoned with.
Location: EMEA (remote-first)
What You'll Do
Lead and mentor a team of Forward Deployed Engineers across EMEA
Drive end-to-end deployment of North in private cloud and on-premises environments
Take ownership of customer success from technical implementation through delivery
Collaborate closely with Product, Engineering, and Sales to shape how we deliver AI to enterprises
Mentor your team on cloud infrastructure, Kubernetes, and enterprise-grade deployments
Optimize performance for OpenSearch, databases, and other K8s services
Define scaling guidelines for GPU and CPU compute resources
Build processes & technology that scales — we're growing fast.
What We're Looking For
5+ years of experience in software engineering with demonstrated leadership
Hands-on experience deploying enterprise software at scale
Strong expertise in cloud infrastructure (Azure, AWS, GCP)
Experience with Kubernetes, Helm, and CI/CD pipelines
High agency — you don't wait for permission to solve problems
A doer mentality — you dig in and get stuff done
Experience managing engineers in a fast-paced, high-growth environment
Excellent communication skills in English.
Nice to Have's
Fluency in additional European languages
Experience with AI/ML infrastructure
Background in enterprise security and compliance.
What We Offer
Remote-flexible work from anywhere in EMEA
6 weeks of paid vacation
Equity/stock options
Competitive salary
Co-working stipend
Annual learning allowance ($2,000)
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
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