Full-Time
Technical Product Manager
Implementation and Professional Services
Posted on 7/23/2025
Shakudo
11-50 employees
Data stack operating system for AI
No salary listed
Toronto, ON, Canada
In Person
Travel required; based in Toronto office; in-person role.
 Product (1) |
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- Bachelor's degree in Computer Science, Data Engineering, or related technical field
- 5-7 years of experience in solutions architecture, technical consulting, or customer-facing technical roles
- Strong expertise in data platform architectures, data engineering, and analytics solutions
- Experience designing enterprise-scale data and AI implementations
- Proven track record of translating business requirements into technical solutions
- Deep understanding of cloud platforms (AWS, GCP, Azure), data lakes, ETL, GenAI, and ML/AI workflows
- Excellent customer presentation and communication skills
- Experience working directly with enterprise customers on complex technical projects
- Lead technical discovery sessions with customers to understand business requirements and technical constraints
- Translate business objectives into technical solution requirements
- Present solution designs and technical recommendations to customer executives and technical teams
- Design end-to-end data and AI solutions leveraging the Shakudo platform and ecosystem
- Create detailed solution architectures, data flows, and integration specifications
- Define technical requirements and implementation approaches for custom customer solutions
- Develop comprehensive technical specifications for Professional Services delivery teams
- Define data models, pipeline architectures, and integration patterns
- Document performance requirements, scalability considerations, and operational procedures
- Design repeatable solutions for common data and AI use cases (real-time analytics, ML operations, Agentic Workflows, GraphRAG)
- Create solution accelerators and templates that can be customized for multiple customers
- Define best practices for specific industries and technical domains
- Partner with Professional Services engineers throughout solution implementation
- Review and validate technical implementations against original solution designs
- Provide technical guidance and problem-solving support during delivery
- Ensure solutions meet customer requirements and Shakudo quality standards
- Customer satisfaction scores for solution design and delivery
- Time-to-value achievement for customer implementations
- Solution reusability and standardization across engagements
- Revenue growth from Professional Services engagements
- Customer reference development and case study creation
- Advanced degree in Computer Science, Data Science, or Engineering
- Experience in data consulting, systems integration, or solution architecture roles
- Expertise in specific industry domains (financial services, healthcare, retail, manufacturing)
- Knowledge of regulatory compliance requirements (GDPR, HIPAA, SOX, etc.)
- Experience with modern data stack technologies and vendor ecosystem
- Understanding of data governance, security, and privacy frameworks
- Previous experience in customer-facing product management or technical sales roles
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'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
6 month growth
↓ -2%1 year growth
↓ -5%2 year growth
↓ -5%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, 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.
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.
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.