Technical Product Manager, Implementation and Professional Services at Shakudo

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, Data PlatformsIndustries

Requirements

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
Preferred Qualifications
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

Responsibilities

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

Skills

Solution Architecture

Data Modeling

Pipeline Architecture

Integration Patterns

MLOps

GraphRAG

Real-time Analytics

Scalability

Technical Specifications

Customer Discovery

Shakudo

End-to-end platform for AI projects

About Shakudo

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 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 focus on building and maintaining their models efficiently. 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.

Toronto, CanadaHeadquarters

2021Year Founded

$9.8MTotal Funding

SERIES_ACompany Stage

Enterprise Software, AI & Machine LearningIndustries

11-50Employees