Technical Support Manager at Shakudo

Toronto, Ontario, Canada

Shakudo Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, DataIndustries

Requirements

  • 4+ years of experience in technical support or IT helpdesk roles with Data and AI based companies, including at least 1-2 years in a leadership or management capacity
  • Strong technical background in AI, DevOps, or cloud-native technologies with experience in troubleshooting complex environments
  • Proficiency in managing support for containerized environments (Kubernetes, Docker)
  • Hands-on experience with AI/ML workflows, including tools such as MLflow, TensorFlow, PyTorch, and OpenAI integrations
  • Familiarity with cloud platforms (AWS, Azure) and monitoring tools such as Prometheus and Grafana
  • Strong written and verbal communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences
  • Experience with ticketing and issue-tracking systems (e.g., Zendesk, ServiceNow)
  • Ability to manage a remote, globally distributed team and coordinate effectively across time zones
  • A proactive approach to problem-solving, with strong analytical and decision-making skills

Responsibilities

  • Lead and manage a team of 2-3 Technical Support Specialists operating across different time zones to provide 24/7 global support
  • Develop and refine support workflows, ensuring efficient ticket handling, issue resolution, and escalation procedures
  • Act as a senior escalation point for complex technical issues, collaborating closely with engineering and product teams to drive timely resolutions
  • Maintain and enhance documentation for troubleshooting guides, best practices, and internal knowledge bases to improve team efficiency
  • Track team performance, analyze support trends, and provide insights to improve operational efficiency and customer satisfaction
  • Work closely with engineering, product, and sales teams to address recurring customer concerns and contribute to product improvements
  • Participate in recruiting, onboarding, and continuous training of Technical Support Specialists to build a high-performing team

Skills

Kubernetes
Docker
MLflow
TensorFlow
PyTorch
OpenAI
AWS
Azure
Prometheus
Grafana
Zendesk
ServiceNow

Shakudo

End-to-end platform for AI projects

About Shakudo

Shakudo offers a platform designed to support organizations in developing and managing AI and data-intensive products. Their main product, the Hyperplane platform, facilitates the entire workflow of AI projects, from initial ideas to deployment. It automates the optimization of resources, helping teams select the best configurations without the need for complex setups. This makes it easier for data scientists and AI teams to focus on building and maintaining their models efficiently. Shakudo differentiates itself from competitors by providing a subscription-based service with tiered pricing, allowing organizations to choose the level of access that suits their needs. The goal of Shakudo is to simplify the AI development process, enabling organizations to implement their AI projects more quickly and reliably.

Toronto, CanadaHeadquarters
2021Year Founded
$9.8MTotal Funding
SERIES_ACompany Stage
Enterprise Software, AI & Machine LearningIndustries
11-50Employees

Risks

Increased competition from established AI platform providers like DataRobot.
Potential customer resistance due to learning curve and integration challenges.
Rapid AI advancements may outpace Shakudo's platform updates, risking obsolescence.

Differentiation

Shakudo offers a unique compatibility across best-of-breed data tools.
Their Hyperplane platform automates resource optimization for AI projects.
Shakudo provides DevOps-friendly GraphQL APIs for seamless AI solution interaction.

Upsides

Increased demand for AI model interpretability tools enhances Shakudo's platform.
Rise of AI model marketplaces boosts Hyperplane's user engagement and revenue.
Growing trend of federated learning aligns with Shakudo's data stack compatibility.

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