General Manager - OS Platform Business Unit
No salary listed
Senior, Expert
MBA
Toronto, ON, Canada
In PersonOn-site in Toronto, Ontario. Immigration and relocation support available.
Business & Strategy
About the job
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
- 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
- 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
- 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
- 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
Responsibilities
- 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
- 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
- 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
- Collaborate closely Principal Engineers on platform architecture
- Ensure platform scalability, security, and performance for enterprise deployments
- Drive integration capabilities that support Stack and Professional Services units
- Maintain competitive positioning against major cloud providers and data platforms
- 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
- 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
Desired Qualifications
- Ex-Founder Preferred: Raised $1M+ in venture funding, OR Generated $500K+ in revenue for their company
- 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
- NVIDIA-Inspired Organization: Fully autonomous, platform-first, remote-friendly culture experience not required but desirable
- Industry Experience in Financial services, healthcare, aerospace or regulated industries
- Understanding of data governance, privacy, and compliance in enterprise environments
About the company
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
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Simplify's Take
What believers are saying
- Wittington Ventures led Shakudo's $7 million February 17, 2026 strategic round.
- Loblaw said Shakudo cut AI deployment from six months to same-day delivery.
- Whitecap's June 2026 case study shows Shakudo expanding from analytics into advanced AI.
What critics are saying
- Shakudo depends on regulated-enterprise wins; losing Loblaw damages credibility by 2027.
- AWS, Databricks, and Snowflake compress Shakudo's differentiation through bundled platforms.
- One serious governance failure turns Shakudo into an existential compliance liability.
What makes Shakudo unique
- Shakudo runs inside customer VPCs, keeping models and data under enterprise control.
- Its February 17, 2026 launch bundled Kaji, AI Gateway, and Compass governance.
- Loblaw and Whitecap adopted Shakudo in 2026 for standardized in-house AI operations.
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Benefits
- Professional Development Budget