AI Revenue Operations Analyst

GitLab; Canada; Remote; CAD 60,000 - 80,000; Full time

Job summary

A dynamic software company is seeking an AI Revenue Operations Analyst to enhance its AI strategies for revenue operations. This remote position requires proficiency in workflow automation and API integration, aimed at optimizing customer acquisition and retention. Ideal candidates will collaborate with cross-functional teams to implement innovative AI-driven workflows and analytics in a fast-paced environment.

Qualifications

• Experience with workflow automation platforms, preferably Workato.
• Ability to architect sophisticated workflow solutions for customer experience optimization.
• Strong communication skills to align with IT and Revenue teams.

Responsibilities

• Shape GitLab's AI tooling strategy for revenue operations.
• Design end-to-end customer journey workflows.
• Drive cross-functional initiatives requiring API integration.

Skills

Workflow automation platforms

API orchestration

Low-code automation tools

Analytical skills

Problem-solving skills

Tools

Workato

Job description

Overview

GitLab is an open-core software company that develops the AI-powered DevSecOps Platform used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. GitLab values AI as a core productivity multiplier and expects all team members to incorporate AI into daily workflows. We are looking to add an AI Revenue Operations Analyst to join our Revenue Tech team. This role will build and advance GitLab's AI tooling strategy for revenue operations and architect AI-powered automation workflows to optimize how we acquire, convert, and retain customers at scale. This position is 100% remote and based in the US, British, or Central European time zones.

What you'll do

• Design AI-Powered Revenue Solutions – shape GitLab's AI tooling strategy for revenue operations, expand AI functionality within tools, evaluate emerging AI platforms, manage vendor relationships, and contribute to governance for AI implementation across revenue teams; architect and implement AI-powered workflows using platforms like Workato (in partnership with IT); integrate with LLM APIs and existing tools to create intelligent automation; configure predictive analytics (churn risk, opportunity scoring, deal velocity) and revenue process optimization; design AI-enhanced research automation and orchestrate experimentation frameworks.
• Systems Architecture & Strategic Impact – design end-to-end customer journey workflows, make technical architecture decisions for revenue systems with IT and senior teams, translate complex business requirements into scalable AI-powered workflows, implement automated data flows across revenue platforms, and measure business impact (conversion rates, deal velocity, productivity gains).
• Technical Leadership & Collaboration – drive cross-functional initiatives requiring platform configuration and API integration, collaborate with IT and Data teams, establish automated monitoring and alerting, contribute AI-enhanced process improvements, document solutions, and share automation best practices.
• What you'll bring – Technical & AI Integration Foundation: experience with workflow automation platforms (Workato preferred), API orchestration and error handling; experience integrating LLM APIs into business workflows; experience with low-code automation tools.
• Revenue Operations & Business Expertise: ability to architect sophisticated workflow solutions for end-to-end customer experience optimization; deep understanding of B2B SaaS revenue models, sales processes, and customer lifecycle; experience evaluating and procuring revenue tools and managing vendor relationships; strong analytical and problem-solving skills to translate business requirements into technical specs.
• Sense of Ownership & Collaboration Skills: accountable for AI automation outcomes; strong communication with IT, Revenue Operations, and Field teams; ability to manage competing priorities and drive improvements; alignment with GitLab values.
• Preferred Experience: background in revenue, sales, or marketing operations with AI/automation components; data science, analytics, or BI applied to revenue processes; experience leading technology evaluation and implementation; familiarity with GDPR/CCPA and their technical implications.

What we offer and important notes

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. The base salary range listed is for residents of the United States and may vary by location; final grade level and salary are determined through interviews and evaluation of qualifications. Sales roles may be eligible for incentive pay up to 100% of base salary. We are an equal opportunity employer with policies ensuring fair treatment regardless of protected characteristics.

Additional information

Country Hiring Guidelines: GitLab hires globally; all roles are remote with location-based eligibility where applicable. We provide information about benefits and equity during the process. If you require accessibility accommodations, please let us know during the recruiting process.