Director, SDET

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.

The Director of SDET is a pivotal role blending strong technical depth with strategic and people leadership. 

You will own the quality engineering vision for the organization, mentor the next generation of SDET managers and leads, and champion the adoption of AI-driven tools and practices to modernize how the organization builds, tests, and ships software.

-> Quality Strategy & Architecture:

Own the end-to-end quality engineering vision, strategy, and roadmap across multiple product lines or business units

Establish quality gates, release readiness criteria, and CI/CD processes

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:

Lead the org's AI adoption strategy for quality engineering — building or integrating AI/ML-based testing tools to improve coverage, productivity, and defect prediction

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

Experience presenting AI or quality-transformation initiatives at conferences

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

Contributions to open-source testing frameworks or published thought leadership on QE/AI trends

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