About the Job:
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The company is the leading security-first enterprise AI company that builds cutting-edge foundation AI models and end-to-end products aimed at solving real-world business problems. With a focus on deploying frontier models for enterprises developing AI systems, the company is committed to the widespread adoption of AI. The team consists of researchers, engineers, designers, and passionate professionals dedicated to increasing the capabilities of AI models and delivering exceptional value to customers.
About North:
North is the company's advanced AI workspace platform, designed to transform how enterprises leverage AI. It provides a secure and customizable environment for deploying AI while managing sensitive data. North integrates seamlessly with existing workflows, connecting AI agents with workplace tools and applications.
Why This Role?
This position offers a unique opportunity to influence how enterprises engage with AI in practical applications. Acting as a crucial link between the North product and client engineering teams, you will solve complex problems and securely integrate AI across critical sectors such as finance, healthcare, and telecommunications. Notable clients include industry leaders like RBC, Dell, and LG CNS.
Key Responsibilities:
- Lead the end-to-end deployment of the North platform in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
- Collaborate with enterprise IT teams to evaluate infrastructure, security requirements, and data management practices.
- Experiment with high velocity and quality to engage customers effectively and deliver solutions that surpass their expectations.
- Design and implement deployment strategies tailored to client needs while 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 working directly with customers.
- You have a background in deploying enterprise software in private/hybrid cloud environments.
- You possess proven experience administering production Kubernetes clusters and expertise with Helm.
- Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control is important.
- You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization.
- You thrive in fast-paced environments and can adapt to changing priorities and objectives.
Language Requirements: Not specified.
Work Conditions:
- Remote-friendly work environment with access to offices in Toronto, San Francisco, New York City, London, Paris, and Montreal.
Benefits:
- Open and inclusive culture and work environment.
- Collaboration with a team at the forefront of AI research.
- Weekly lunch stipend of $75/£75 or local equivalent.
- 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 workspace improvement credit.
- Education & learning stipend for conferences, courses, and coaching.
- Flexible remote work options with a co-working stipend.
- 6 weeks of paid vacation (30 working days).
- Budget for traveling to other offices if remote, plus an annual company offsite.
