Full-Time

Business Development Representative

Shakudo

Shakudo

11-50 employees

Data stack operating system for AI

No salary listed

Toronto, ON, Canada

In Person

Relocation to Toronto, ON preferred; onsite role.

Bachelor's

Category
Sales & Account Management (1)
Required Skills
Cold Calling
HubSpot

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Requirements
  • Previous experience in high-volume enterprise outbound sales (cold calling)
  • Experience generating $100K+ deal opportunities
  • Have a real curiosity to keep learning the latest trend across data, AI and ML landscapes
  • Be able to untangle complex sets of requirements and break them into simple actionable steps
  • 1 year in a BDR or full-cycle AE role
  • Highly organized, and ability to use CRM (Hubspot), Slack, LinkedIn Sales Navigator, and GSuite software
  • Excellent communication skills with the ability to engage and influence stakeholders in multiple positions
  • Ability to thrive and make effective decisions in a fast-paced, dynamic environment
  • Bachelor's degree or equivalent experience in technical focused domain (ex. engineering, computer science, mathematics etc.)
  • Willingness to relocate to Toronto, ON, Canada preferred
Responsibilities
  • Represent the Shakudo brand, by being a professional, creative and curious salesperson.
  • Research and build compelling solution fit narratives to engage potential buyers.
  • Intimately understand Shakudo customers, and the value they get from the product.
  • Develop relationships and engage with both technical users and economic buyers.
  • Own inbound qualification, and targeted outbound activities into our key target markets.
  • Partner with the marketing team to develop and experiment on key messaging and ideal customer profiles (ICPs).
  • Design account plans to hit and over deliver on pipeline generation targets.

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

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See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Wittington Ventures led Shakudo's $7 million round on February 17, 2026.
  • Shakudo says major customers funded the round and joined the cap table.
  • The company targets nuclear, healthcare, finance, and logistics with sovereign AI infrastructure.

What critics are saying

  • Sales concentration risk is severe; Loblaw and CentralReach-linked investors signal customer dependence.
  • Databricks, Snowflake, and cloud hyperscalers can bundle similar governance and orchestration fast.
  • If regulated enterprises reject agent autonomy, Kaji and AI Gateway become niche features.

What makes Shakudo unique

  • Shakudo sells a self-hosted OS for enterprise AI, keeping workloads inside customer VPCs.
  • It now bundles Kaji and AI Gateway, covering agents, governance, and model control.
  • Loblaw Digital says Shakudo cut AI deployment from six months to same-day delivery.

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Benefits

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

8%

1 year growth

5%

2 year growth

11%
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.