Lead Software Development Engineer in Test – AI

🕒 June 24

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HighLevel

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

💼 Consulting

📦 Logistics

☁️ SaaS

💰 Series A on 2021-11

Consulting • Logistics • SaaS

HighLevel is an all-in-one marketing and sales platform designed to help businesses grow and succeed. The platform consolidates various marketing tools into a single solution, providing features such as lead capture through landing pages, surveys, forms, and calendars, as well as tools for nurturing leads via automated messaging across multiple channels including phone, SMS, email, and social media. HighLevel offers customizable solutions like online appointment scheduling, multi-channel follow-up campaigns, and pipeline management. Additionally, businesses can build websites, funnels, and landing pages using the intuitive page builder. HighLevel supports integrating with existing systems via API, and offers a membership platform for community building and course management. The platform is targeted towards marketers and offers white-labeling options for businesses to brand the software as their own. With a community-driven development approach and award-winning support, HighLevel is focused on empowering businesses to streamline their operations and enhance their marketing efficiencies.

📋 Description

• 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

🎯 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