- Previous experience at major data platform companies (Databricks, Snowflake, Palantir, etc.)
- Background in enterprise infrastructure software or developer platform companies
- Experience with air-gapped and on-premises enterprise deployments
- MBA or equivalent business strategy experience in technology platforms
- International market expansion experience with enterprise software
- Background in open-source platform development and ecosystem building
Industry Experience
- Financial services, healthcare, aerospace, or other highly regulated industries
- Understanding of data governance, privacy, and compliance in enterprise environments
- Experience with digital transformation initiatives and enterprise technology adoption
- Background in DevOps, SRE, or infrastructure operations
What Success Looks Like
90 Days
- Complete comprehensive analysis of current platform business performance and opportunities
- Define platform strategy and competitive positioning against major market players
- Establish relationships with key enterprise customers and strategic prospects
- Align with engineering leadership on platform roadmap and investment priorities
6 Months
- Drive measurable improvement in platform adoption metrics across customer base
- Launch major platform capabilities that differentiate against competitive alternatives
- Build dedicated platform team including product management, customer success, and technical resources
- Achieve consistent quarter-over-quarter growth in platform-driven revenue
12 Months
- Scale OS Platform business unit to $5M+ ARR with healthy unit economics
- Establish Shakudo as recognized leader in data and AI operating system market
- Build scalable platform business with repeatable sales processes and customer success
- Enable successful growth of Applications and Professional Services through platform capabilities
Platform Focus Areas
Core Platform Capabilities
-Data & AI Operating System: Core platform licensing, deployment, and enterprise infrastructure
-Stack Component Ecosystem: Management and optimization of 200+ integrated data and AI tools
-Enterprise Security & Compliance: On-premises, air-gapped, and regulated industry deployments
-Platform APIs & Extensibility: Developer experience and platform customization capabilities
Customer Success Metrics
-Platform Utilization: Active users per environment (targeting 50% by H1 2026)
-Stack Component Adoption: Number of components actively used (targeting 7+ by H1 2026)
-Production Use Cases: Live business applications (targeting 4+ by H1 2026)
-Time-to-Value: Deployment to first production use case (targeting <60 days by H1 2026)
Enterprise Market Focus
-Large Enterprise: 1000+ employees with complex data and AI requirements
-Regulated Industries: Financial services, healthcare, aerospace with compliance needs
-Data-Driven Organizations: Companies with significant data science and AI initiatives
-Digital Transformation: Enterprises modernizing data and AI infrastructure
Our Culture & Values
NVIDIA-Inspired Organization
-Flat, mission-driven structure with minimal hierarchical layers
-Autonomous leadership with full accountability and decision-making authority
-Platform-first thinking that enables ecosystem growth and customer success
Global Talent Strategy
-Worldwide recruitment to attract the best platform talent regardless of geography
-Immigration support through Canada's Express Entry program for strategic hires
-Remote-friendly culture with comprehensive relocation assistance
Enterprise Excellence
- Customer-obsessed approach to platform development and support
- Continuous innovation balanced with enterprise stability and reliability
- Long-term thinking about platform evolution and market leadership