Full-Time

Engagement Manager

Confirmed live in the last 24 hours

Shakudo

Shakudo

11-50 employees

End-to-end platform for AI projects

Enterprise Software
AI & Machine Learning

Mid, Senior

Toronto, ON, Canada

Position requires onsite presence in Toronto.

Category
Management Consulting
Consulting
Required Skills
Python
SQL
Requirements
  • Minimum of 4 years in management consulting or customer engagement roles.
  • At least 2 years of direct technical experience or close collaboration with engineers on technical projects.
  • Ability to thrive in a fast-paced, ambiguous environment.
  • Outstanding leadership, presentation, and communication skills, with a proven ability to influence cross-functional teams.
  • Deep understanding of data and AI technologies and their applications in enterprise contexts.
  • Technical degree in computer science, engineering, or a related quantitative field.
  • Practical knowledge of SQL and some coding abilities (Python).
Responsibilities
  • Collaborate with customer executive leaders to define and implement the overall strategy, manage day-to-day team relationships, and drive significant business impact.
  • Engage with top-tier machine learning, product, engineering, and business teams across industries to help them develop and refine data and AI applications that deliver tangible business value.
  • Partner with customer teams to grasp their internal operations and challenges, identifying areas where Shakudo can make the most significant impact.
  • Manage customer onboarding, conduct business reviews, and sustain the long-term health of the customer base.
  • Handle day-to-day delivery, manage project timelines, and oversee customer deliverables.
  • Maintain the long-term health of the customer base by identifying and addressing potential risks or concerns.
  • Establish an effective feedback loop between the customer team and internal product, machine learning, engineering, and go-to-market teams.
  • Strategically identify ways to standardize customer success and resolve issues for future customers.

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 final 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 work efficiently and effectively. 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.

Company Stage

Series A

Total Funding

$9.8M

Headquarters

Toronto, Canada

Founded

2021

Growth & Insights
Headcount

6 month growth

10%

1 year growth

17%

2 year growth

65%
Simplify Jobs

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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