Technical Product Manager, Implementation and Professional Services
Toronto, ON
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Shakudo
Compatibility across the best-of-breed data tools for a more reliable, performant, and cost effective data and AI operating system.
About ShakudoShakudo is a cutting-edge data platform company that empowers organizations to build, deploy, and scale data and AI solutions with unprecedented speed and efficiency. We're transforming how businesses harness the power of their data through our innovative cloud-native platform.
Position OverviewWe are seeking a Technical Product Manager for Professional Services to design and define the data and AI solutions that our Professional Services engineers build for customers. This role combines deep technical expertise with customer-facing solution design to create tailored implementations that solve complex business challenges. You'll work directly with customers to understand their requirements and translate them into technical solution specifications that our delivery teams execute, ensuring successful outcomes and accelerated time-to-value.
Ready to design transformative data and AI solutions that solve real customer challenges? Join us in delivering world-class implementations that showcase the power of the Shakudo platform!
To Apply: Please submit your resume, a cover letter describing your approach to solution design, and examples of complex technical solutions you've architected for customers.
Shakudo is an equal opportunity employer committed to diversity and inclusion.
Position OverviewWe are seeking a Technical Product Manager for Professional Services to design and define the data and AI solutions that our Professional Services engineers build for customers. This role combines deep technical expertise with customer-facing solution design to create tailored implementations that solve complex business challenges. You'll work directly with customers to understand their requirements and translate them into technical solution specifications that our delivery teams execute, ensuring successful outcomes and accelerated time-to-value.
Customer Engagement & Requirements Gathering
- 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
Solution Architecture & Design
- 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
Solution Specification & Documentation
- 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
Industry Solutions & Use Cases
- 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
Delivery Collaboration & Quality Assurance
- 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
Success Metrics
- 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
Required Qualifications
- 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
What We Offer
- Competitive salary and equity package
- Comprehensive health, dental, and vision insurance
- Travel opportunities to work directly with customers
- Professional development and learning opportunities
- Opportunity to shape cutting-edge data and AI solutions
- Direct impact on customer success and business transformation
- Collaborative, innovation-driven culture
Ready to design transformative data and AI solutions that solve real customer challenges? Join us in delivering world-class implementations that showcase the power of the Shakudo platform!
To Apply: Please submit your resume, a cover letter describing your approach to solution design, and examples of complex technical solutions you've architected for customers.
Shakudo is an equal opportunity employer committed to diversity and inclusion.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Perks/benefits: Career development Competitive pay Equity / stock options Health care
Region:
North America
Country:
Canada
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