Adoption Specialist - Infrastructure & Agentic

Who are we?

[Employer] is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

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. [Employer] is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

Why This Role?

This role is the critical bridge that amplifies [Employer]’s ability to execute from its deployed engineering teams into the partner ecosystem at scale. You will be the single point of influence who takes the high quality of our engineering delivery and extends it outward, ensuring that system integrator partners can deliver [Employer] solutions with the same rigor, reliability, and innovation as our internal teams.

As an Adoption Specialist, you will design, build, maintain, and deliver certification programs that validate partner expertise across infrastructure and agentic domains. You will report functionally into Customer Education & Transformation, with a dotted line into the Forward Deployed Engineering teams (Infrastructure and agentic), ensuring that every certification, every training program, and every competency standard reflects the latest innovation and the highest standards of delivery.

We are seeking a unique individual: someone who is customer obsessed, has a background in infrastructure engineering with the technical grit and expertise to be a de facto member of the deployed engineering teams, while also bringing commercial acumen to scale these capabilities across the partner ecosystem. You will be the conduit between our internal engineering excellence and the broader market, and you will be the face of this program in front of partner networks and communities.

In this role, you will:

• Design, build, and maintain certification programs for system integrator partners across both infrastructure and agentic tracks, ensuring they reflect current technical realities and future innovation. This includes train-the-trainer programs with key system integrators that can certify on our behalf.
• Develop deep subject matter expertise in end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. As well as assess infrastructure, security requirements, and data management practices.
• Develop deep subject matter expertise in applied AI across the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows
• Collaborate with Forward Deployed Engineering teams on a dotted line basis to ensure certification content stays current with product innovation and hands-on development.
• Collaborate with Product to ensure requirements are adapted into the core product.
• Create dynamic training programs and enablement assets that drive self-service enablement and partner competency, building educational content specifically for developers.
• Deliver the certification and education program publicly, serving as the face of this initiative to partner networks, partner communities, and customer communities, with the exposure and visibility that comes with representing [Employer]’s technical excellence externally.

You may be a good fit if your experience covers the following areas:

• Execution flexibility in fast-paced environments, with the ability to work across infrastructure, and agentic areas.
• Infrastructure and cloud expertise including enterprise software deployment in private/hybrid cloud environments, production Kubernetes administration, Helm, DevOps practices, CI/CD pipelines, and version control.
• Agentic and LLM stack expertise encompassing production-grade Python software development, RAG and agentic applications using patterns like ReAct or Plan-and-Execute, and robust evaluation framework design.
• Developer relations and community engagement, including public speaking, presenting, with a natural comfort with visibility and being the face of technical initiatives.
• Experience building enablement or education content specifically for developers.

Full-Time Employees at [Employer] enjoy these Perks:

• A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
• Full health and dental benefits, including a separate budget for mental health.
• RRSP matching, 401K, Pension Scheme.
• 100% Parental Leave top-up for up to 6 months, for either parent.
• Annual enrichment benefits:Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.Education & learning stipend for conferences, courses, and coaching.

• 6 weeks of paid vacation (30 working days!)
• Budget for traveling to other offices if you are remote, plus an annual company offsite.

How and Where We Work:

• [Employer] is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
• For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
• For those not near an office: a co-working benefit so you can work alongside others in your city.
• Everyone receives a $500 home office stipend to set up your workspace properly.

If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.

We 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.

We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.

Beware of Scams: [Employer] will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the [Employer] careers page and LinkedIn only, with all communications from [Employer] employees coming from an @[Employer].com or @cw.[Employer] email alias. If jobs are viewed on other sites then please verify these through our official careers page.