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You will own the end-to-end quality engineering strategy and operating model for the Commerce & Payments division. This involves leading AI adoption for quality, mentoring engineering managers, and partnering with cross-functional leadership to ensure release readiness.
About HighLevel:
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.
To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.
Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.
Our People:
With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.
Our Impact:
Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.
Learn more about us on our YouTube Channel or Blog Posts
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The Sr. SDET Manager is a pivotal role blending strong technical depth with strategic and people leadership.
You will own the quality engineering strategy and operating model for Commerce & Payments, develop scalable quality practices, mentor SDET Managers and Leads, and drive AI-enabled approaches to improve how teams build, test, and ship software.
-> Quality Strategy & Architecture:
Own the end-to-end quality engineering vision, strategy, and roadmap across multiple product lines in the Commerce & Payments Organization
Establish quality gates, release readiness criteria, and CI/CD integration into Quality.
Drive a "shift-left, shift-right" quality culture - embedding testability into design reviews and using production observability to close the loop
Conduct architectural reviews across new and existing products to proactively surface scalability, reliability, and performance risks
Evaluate and select tooling, frameworks, and platforms (open-source and commercial) that scale automation across teams
-> AI Adoption in Commerce Context :
Lead the org's AI adoption strategy for quality engineering - to improve coverage, productivity, and defect prediction based on our Commerce scenarios
Continuously evaluate and leverage AI for all aspects of Quality Engineering ensuring quality strategy keeps pace with how product is built
-> Stakeholder & People Leadership:
Partner with Engineering, Product, DevOps, and Security leadership to align quality goals with business and release objectives
Provide regular quality updates, metrics, and strategic recommendations to executive leadership
Define, set up, and monitor key quality and productivity metrics (KPIs/OKRs)
Lead succession planning and mentor SDET Managers and Leads to build the next layer of quality leadership
Prior experience testing high-transaction SaaS platforms (CRM, Payments, Automation, Email, Fintech, or similar)
Experience building and testing AI products using Agentic AI, including evaluation frameworks
Quality vision and strategic execution
Non-functional testing (performance, security, reliability) and continuous delivery
Operational discipline within a fast-paced, rapid release environment
Stakeholder management across Engineering, Product, DevOps, and business functions
Team building and mentorship
Data-driven reporting of quality and productivity metrics to executive stakeholders
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EEO Statement:
The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.
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