Description
SaaS operations are undergoing rapid transformation, yet most SaaSOps organizations remain anchored to manual workflows and reactive troubleshooting rather than embracing proactive, AI-powered automation. This inefficiency costs companies millions through suboptimal cloud resource management, preventable service interruptions, and insufficient scaling velocity to match ambitious expansion targets. Trilogy has charted a different course—acquiring no fewer than one SaaS company monthly and committing fully to AI-driven transformation to construct the industry's most sophisticated automated SaaS Ops capability.
Trilogy manages a diverse portfolio of SaaS enterprises, each presenting distinct architectural configurations, customer bases, and operational complexities. Rather than viewing SaaS Ops as an overhead expense, we recognize it as a strategic differentiator. Our mission is to establish a premier, AI-enhanced SaaS Ops organization engineered to deliver maximum system availability, operational efficiency, and cloud cost optimization across our entire product ecosystem. This position offers the chance to architect and implement SaaS Ops strategy at unprecedented scale, deploying automation, artificial intelligence, and elite operational frameworks to establish new industry benchmarks.
This position differs fundamentally from traditional corporate IT or infrastructure oversight roles. It represents a technical leadership opportunity for individuals who have established and directed SaaS Ops within SaaS organizations, not merely participated as team members. The right candidate combines deep technical mastery with leadership capability—someone energized by architecting scalable infrastructures, embedding automation throughout operations, and executing critical operational decisions. Your mandate will encompass shaping the trajectory of SaaS Ops across our varied portfolio of SaaS properties, guaranteeing frictionless product integration, and harnessing AI to forge an automated, supremely efficient operations platform.
Collaboration will occur directly with exceptional talent spanning Engineering, Product, and Executive leadership to crystallize and advance this strategic vision. If you maintain firm convictions about optimal SaaS Ops methodology, relish the complexity of multi-product environment optimization, and seek to pioneer AI-powered operations, this opportunity is designed for you. Submit your application now to claim this transformative career milestone.
What you will be doing
- Architect and deploy industry-leading SaaS Ops methodologies grounded in extensive expertise and definitive perspectives on operational excellence
- Execute critical decisions regarding operational frameworks, AI technology selection, and process architecture to guarantee reliability, security, and cost efficiency throughout the portfolio
- Develop and refine an integration framework enabling newly acquired SaaS offerings to merge seamlessly into a unified SaaS Ops structure without operational disruption
- Optimize deployment of AI-enabled platforms for automation, expenditure reduction, and operational productivity
What you will NOT be doing
- Supervising repetitive manual tasks characteristic of conventional SaaS Ops; your emphasis will rest on automation and AI-powered transformation
- Administering operations for an isolated product; you'll navigate complexity spanning hundreds of products across our SaaS ecosystem
- Accepting established norms; your mandate includes challenging and reimagining operations through AI capabilities
Key responsibilities
- Direct a supremely efficient, AI-augmented SaaS Ops organization delivering outstanding reliability, cost management, and frictionless operations for an expanding collection of acquired SaaS enterprises
Candidate requirements
- Minimum 5 years of experience directing and owning SaaS Ops in support of enterprise customers
- Demonstrated ownership of SaaS Ops and leadership of significant cloud migrations within an SME serving enterprise customers
- Proven application of AI and automation technologies to SaaS operational environments
- Expert-level AWS and DevOps proficiency (including Docker and Kubernetes)
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