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Full-Time

Sales Engineer

Confirmed live in the last 24 hours

Shakudo

Shakudo

11-50 employees

End-to-end platform for AI projects

Data & Analytics
AI & Machine Learning

Mid

Toronto, ON, Canada

Position requires onsite presence in Toronto, Ontario.

Category
Sales Engineering
Sales & Solution Engineering
Requirements
  • Bachelor’s or master’s degree in Computer Science, AI, or a related technical field.
  • Extensive experience in solution engineering, technical sales, or a similar role within the AI/ML domain.
  • Proficient in AI/ML technologies, with a deep understanding of data and machine learning workflows and best practices.
  • Strong interpersonal and communication skills, capable of conveying complex technical details coherently to both technical and non-technical audiences.
  • Demonstrated ability to develop strategic customer relationships, understanding their business challenges and technological needs.
  • Direct experience with cutting edge data and AI technologies.
  • Proven track record of successful technical customer engagements.
Responsibilities
  • Lead the technical aspects of sales engagements, including system demonstrations, solution design, and technical validations through proofs of concept (POC).
  • Act as the primary technical point of contact for customers during sales interactions, engaging with various stakeholders including executives, AI practitioners, and data scientists.
  • Provide expert knowledge on the Shakudo AI platform, educating customers and internal teams on its capabilities and best use cases.
  • Serve as a trusted advisor to customers, guiding them on AI strategy, best practices, and end-to-end solutions that include model building, deployment, and management.
  • Collaborate with sales leaders to meet revenue targets and ensure a smooth transition of customers to our post-sales support and success teams.
  • Influence product development and marketing strategies by conveying customer feedback and market demands to internal teams, including product development and engineering.
  • Develop and optimize pre-sales processes and tools, ensuring efficient and impactful customer engagements.

Shakudo offers a platform designed to support organizations in developing and managing AI and data-intensive products. Their main product, Hyperplane, facilitates the entire workflow of AI projects, from initial concept to deployment. It automates the optimization of resources, allowing AI teams to focus on building models without getting bogged down by complex configurations. Shakudo differentiates itself from competitors by providing a subscription-based service with tiered pricing, making it accessible for various organizational needs. The goal of Shakudo is to simplify the AI development process, enabling organizations to implement their AI projects more quickly and effectively.

Company Stage

Series A

Total Funding

$7.6M

Headquarters

Toronto, Canada

Founded

2021

Growth & Insights
Headcount

6 month growth

3%

1 year growth

22%

2 year growth

83%
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Simplify's Take

What believers are saying

  • The recent $9.5 million Series A funding positions Shakudo for rapid growth and expansion, enhancing its ability to innovate and improve its platform.
  • Rebranding from DevSentient to Shakudo, along with securing $4.2 million in seed funding, indicates strong market confidence and a clear strategic direction.
  • Shakudo's focus on simplifying AI deployment and scaling can significantly reduce time-to-market for AI products, making it an attractive option for organizations looking to leverage AI quickly and efficiently.

What critics are saying

  • The competitive landscape in AI and data science is intense, requiring Shakudo to continuously innovate to maintain its edge.
  • Dependence on subscription-based revenue means that customer retention is crucial; any decline in customer satisfaction could impact financial stability.

What makes Shakudo unique

  • Shakudo's Hyperplane platform offers end-to-end AI project management, from ideation to production, which is a more comprehensive solution compared to competitors focusing on specific stages of the AI lifecycle.
  • The platform's automated resource optimization and DevOps-friendly GraphQL APIs streamline AI deployment, reducing the complexity and time required for AI teams to operationalize their models.
  • Shakudo's tiered subscription model allows for flexible access to its platform, catering to organizations of varying sizes and needs, unlike one-size-fits-all solutions.

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