Why This Job is Featured on The SaaS Jobs
Forward Deployed Engineer roles sit at a key junction in modern SaaS, where product capabilities meet real-world enterprise constraints. In this case, the work centers on deploying an AI workspace platform into private cloud and on premises environments, a common requirement as AI SaaS moves from pilots to governed production use. The emphasis on security, integration with existing tools, and customer engineering partnership reflects how AI platforms are increasingly adopted inside regulated and complex IT estates.
From a SaaS career perspective, this kind of role builds durable leverage across the lifecycle of enterprise software adoption. It develops practical judgment around deployment architecture, Kubernetes operations, and reliability tradeoffs, alongside the ability to translate product intent into repeatable implementation patterns. Experience here tends to transfer well across infrastructure, solutions engineering, and platform roles in B2B SaaS, especially where compliance and data residency shape technical decisions.
This role fits engineers who prefer end to end problem ownership and are comfortable operating at the boundary between internal teams and customer stakeholders. It will suit someone motivated by ambiguous deployment environments, hands-on troubleshooting, and iterative delivery rather than purely product feature development. Remote coverage across North America also signals a workflow that rewards clear written communication and structured execution across time zones.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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 North:
North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
Why This Role?
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.
We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI.
In this role, you will:
Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.
Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.
Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.
You may be a good fit if:
You have experience with and enjoy working directly with customers
You have experience deploying enterprise software in private/hybrid cloud environments
You have proven experience administering production Kubernetes clusters and expertise with Helm
Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control
You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
You excel in fast-paced environments and can execute while priorities and objectives are a moving target
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!)
