Full-Time

Technical Program Manager

Tpm

Posted on 8/2/2024

Shakudo

Shakudo

11-50 employees

Data stack operating system for AI

No salary listed

Toronto, ON, Canada

In Person

Category
Business & Strategy (1)
Required Skills
Agile
Risk Management
SCRUM
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Technical Program Manager, Project Manager, or similar role, preferably with a focus on AI and data-driven projects.
  • Excellent project management skills, with experience in Agile and Scrum methodologies.
  • Strong organizational and problem-solving abilities.
  • Exceptional communication and interpersonal skills.
  • Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously.
Responsibilities
  • Oversee the planning, execution, and delivery of data and AI projects, ensuring they are completed on time, within scope, and within budget.
  • Work closely with internal teams and external partners to understand project requirements, define goals, and develop project plans that meet business needs.
  • Identify potential risks and develop mitigation strategies to address challenges and ensure project success.
  • Maintain clear and open communication with stakeholders, providing regular updates on project status, risks, and issues.
  • Ensure comprehensive documentation of project plans, timelines, and outcomes to facilitate knowledge sharing and project tracking.
  • Support continuous improvement initiatives to enhance project management processes and optimize resource allocation.
Desired Qualifications
  • Practical knowledge of SQL and some coding abilities (Python).

Shakudo provides an operating system for data and artificial intelligence stacks that helps teams build, deploy, and manage AI products. The platform works by automating DevOps tasks and integrating over 170 different open-source and commercial tools into a single environment that can be self-hosted for better data security. It distinguishes itself from competitors by creating compatibility between many different software tools, which prevents companies from being locked into a single vendor's ecosystem. The company's goal is to reduce engineering overhead and complexity so that data science teams can focus on developing AI solutions more quickly.

Company Size

11-50

Company Stage

Series A

Total Funding

$17M

Headquarters

Toronto, Canada

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • Loblaw reduced AI development cycles from six months to same-day delivery using platform.
  • Customer-led Series A2 funding validates product-market fit with CentralReach executives personally investing.
  • Sevenfold growth since 2023 Series A attracts strategic investors like Wittington Ventures for expansion.

What critics are saying

  • Databricks integrates 170+ tools natively, capturing enterprises with $50B valuation dominance.
  • AWS Bedrock sovereign AI controls undercut Shakudo pricing via credits for regulated clients.
  • DoD CMMC 3.0 certification delays block non-US platforms from defense contracts entirely.

What makes Shakudo unique

  • Self-hosted VPC deployment keeps customer IP within organizational infrastructure, avoiding vendor lock-in.
  • Integrates 170+ commercial and open-source tools including generative AI, reducing engineering overhead.
  • Autonomous Kaji agents run natively in customer infrastructure for regulated industries like nuclear and healthcare.

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Benefits

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

-5%

2 year growth

-5%
BetaKit
Feb 17th, 2026
Toronto's Shakudo converts customers into investors with $7M Series A2 raise

Toronto-based Shakudo has raised $7 million USD in a Series A2 round led by Wittington Ventures, the venture arm of the Weston family's holding company that controls Loblaw and Shoppers Drug Mart. The round attracted investment from existing customers, including CentralReach executives who personally backed the company. Founded in 2021, Shakudo provides AI infrastructure software that helps enterprises deploy AI tools securely within their existing systems. Loblaw reportedly reduced its AI development cycles from six months to same-day delivery using Shakudo's platform. The round included participation from Golden Ventures, GreatPoint Ventures, and RTP Global, bringing total funding to approximately $18 million USD. The company has grown sevenfold since its $7.2-million USD Series A in early 2023 and plans to raise a larger Series B within two years.

Shakudo
Feb 17th, 2026
Shakudo raises $7M to power sovereign enterprise AI with new autonomous agents

Shakudo, a platform providing operating systems for enterprise AI, has raised $7 million in a strategic funding round led by Wittington Ventures, a venture capital firm affiliated with Loblaw Companies Limited. The round included participation from existing investors Golden Ventures, GreatPoint Ventures and RTP Global, as well as personal investments from enterprise customers. The San Francisco and Toronto-based company will use the funding to expand its US operations and launch two new products: Kaji, an autonomous AI agent running within customers' Virtual Private Clouds, and Shakudo AI Gateway, a control plane for managing models and agents across organisations. Shakudo's platform deploys natively within customers' infrastructure, ensuring intellectual property remains within the organisation whilst targeting regulated industries including nuclear energy, healthcare and financial services.

BetaKit
Jul 5th, 2023
Shakudo closes $9.5M Series A to help companies adopt generative AI

Toronto-based Shakudo has secured $9.5 million CAD in Series A funding to help companies launch artificial intelligence products more quickly and cost-effectively.

BetaKit
Nov 3rd, 2021
Rebranded Shakudo raises $4.2 million to expand reach of AI platform

Toronto-based software startup Shakudo has rebranded from DevSentient, raising $4.2 million CAD in seed funding to expand the reach of its AI platform for data science and ML teams.

INACTIVE