Lead Software Development Engineer in Test - AI

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.

About the Role:

We are looking for a Lead Software Development Engineer in Test with deep expertise in AI tools and model testing. This role requires an individual who can define overall QA strategy, architect automation frameworks, and drive organisation-wide quality initiatives for our AI products. You will own the quality charter for the AI vertical, influence cross-functional teams, and play a key role in shaping the AI quality roadmap.

Requirements:

7+ years of overall experience in QA/SDET roles

Deep expertise in AI tools & model testing, responsible for designing scalable test approaches for RAG, hallucination, drift, and bias

Proven experience in architecting large-scale, reusable, cross-platform automation frameworks

Strong leadership skills to coach and upskill an entire team, set best practices, and build a talent pipeline

Ability to influence cross-functional teams and participate in architecture discussions

Strong problem-solving skills with the ability to own decisions on test strategy, tools, frameworks, and AI testing methodologies

Responsibilities:

Define overall QA strategy and architect large-scale, reusable, cross-platform automation frameworks

Drive organization-wide quality initiatives and own the quality charter for the AI vertical

Possess deep expertise in AI tools & model testing, responsible for designing scalable test approaches for RAG, hallucination, drift, and bias

Own decisions on test strategy, tools, frameworks, and AI testing methodologies

Coach and upskill the entire team, set best practices, and build talent pipeline

Influence cross-functional teams, participate in architecture discussions, and align testing with business strategy

Responsible for end-to-end quality strategy at the product/vertical level

Shape AI quality roadmap, reduce organization-wide risk, and improve scalability and reliability

Bonus Points: