Hybrid General Manager - OS Platform Business Unit na Shakudo
Shakudo · Toronto, ON, Estados Unidos Da América · Hybrid
- Escritório em Toronto, ON
About Shakudo
Shakudo is the operating system for data and AI, providing enterprises with production-ready AI and data infrastructure that combines the flexibility of custom-built stacks with the reliability of managed platforms. Founded in 2021 by Yevgeniy Vahlis, Stella Wu, and Christine Yuen, our Toronto-based company has raised $11.1M in funding and serves enterprise customers across aerospace, automotive, financial services, healthcare, and technology sectors.
We're executing a strategic pivot from small-account software licensing to enterprise-scale platform deployments, targeting $10M+ ARR within 24 months. Our platform integrates 200+ best-in-class data and AI tools, enabling organizations to transition from notebook to production with zero DevOps overhead.
The Opportunity
As our **OS Platform General Manager**, you'll lead the **core business unit** representing Shakudo's primary value proposition - the Data & AI Operating System itself. This is the flagship business unit in our NVIDIA-inspired organizational structure, where each GM operates with full P&L responsibility and autonomous decision-making authority.
The OS Platform business unit focuses on **core Shakudo Data & AI Operating System licensing and infrastructure**, targeting enterprise customers requiring full platform capabilities for comprehensive data and AI operations. This represents the largest revenue opportunity and strategic foundation for all other business units.
Key Responsibilities
P&L Management
- Own complete P&L responsibility for the core OS Platform business unit
- Drive the majority of company revenue through platform licensing and infrastructure
- Manage enterprise customer relationships for $100K-$300K annual contract values
- Report directly to CEO with full autonomy over platform business decisions
Platform Strategy & Product Leadership
- Define and execute product strategy for the core Shakudo Data & AI Operating System
- Drive platform roadmap decisions based on enterprise customer requirements
- Ensure platform capabilities support and enable other business unit offerings
- Balance innovation with enterprise stability and reliability requirements
Enterprise Customer Success
- Own relationships with enterprise customers requiring full platform capabilities
- Ensure successful deployments in on-premises and air-gapped environments
- Drive platform adoption metrics: active users, stack component utilization, production use cases
- Establish customer success frameworks measuring time-to-value improvements
Technical Leadership & Architecture
- Collaborate closely with Field CTO and Principal Engineers on platform architecture
- Ensure platform scalability, security, and performance for enterprise deployments
- Drive integration capabilities that support Applications and Professional Services units
- Maintain competitive positioning against major cloud providers and data platforms
Market Leadership
- Position Shakudo as the leading Data & AI Operating System in the enterprise market
- Develop competitive strategies against Databricks, Snowflake, and major cloud platforms
- Build thought leadership in data and AI platform modernization
- Drive enterprise market expansion and strategic customer acquisition
Cross-Unit Coordination
- Collaborate with other GMs to ensure platform supports their service offerings
- Provide platform capabilities that enable Applications and Professional Services success
- Maintain platform integrity while allowing business unit customization and extension
- Balance resource allocation between core platform and enabling other units
Required Qualifications
Ex-Founder Preferred
We strongly prioritize candidates who are **ex-founders** with either:
- Raised $1M+ in venture funding, OR
- Generated $500K+ in revenue for their company
Ex-founders align perfectly with our GM strategy because they're naturally autonomous problem-solvers accustomed to full P&L responsibility, experienced building from zero with limited resources, and understand the urgency required in venture-scale growth.
Core Requirements
- 8+ years of experience in enterprise data platforms, infrastructure software, or operating systems
- Proven track record of building and scaling platform businesses with $10M+ ARR
- Deep understanding of data and AI infrastructure, modern data stacks, and enterprise requirements
- Experience with enterprise software sales cycles, customer success, and platform adoption
- Strong technical background with ability to engage with engineering and customer technical teams
Platform & Infrastructure Expertise
- Understanding of Kubernetes, container orchestration, and cloud-native architectures
- Experience with data platforms, data lakes, data warehouses, and modern data stack technologies
- Knowledge of AI/ML infrastructure, MLOps, and production AI deployment requirements
- Familiarity with enterprise security, compliance, and on-premises deployment models
- Experience with platform APIs, extensibility, and ecosystem development
Business & Leadership Skills
- Demonstrated ability to operate independently with full P&L responsibility for $10M+ business units
- Experience managing complex enterprise customer relationships and deployments
- Strong communication skills for C-level executives and technical decision makers
- Proven ability to build and manage cross-functional teams including engineering, sales, and customer success
- Track record of scaling platform businesses in competitive enterprise markets
Preferred Qualifications
- 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
Compensation & Benefits
-**Base Salary:** $150,000 - $200,000 CAD
-**Equity:** Substantial equity package aligned with venture-scale growth
-**Performance Bonus:** Tied to OS Platform revenue, adoption metrics, and customer success
-**Immigration Support:** Comprehensive visa and relocation assistance for international candidates
-**Professional Development:** Platform and infrastructure conference attendance, continuous learning budget
-**Health & Wellness:** Comprehensive health coverage and wellness programs
