Enterprise Systems Engineer - JUUL Labs

THE COMPANY:

Juul Labs's mission is to transition the world's billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products. We have the opportunity to address one of the world's most intractable challenges through a commitment to exceptional quality, research, design, and innovation. Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent.

We are a diverse team that is united by this common purpose and we are hiring the world's best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals. If the opportunity to build your career is compelling, read on for more details.

The Enterprise Systems Engineer who leads with AI – not as a tool on the side, but as the foundation of how enterprise systems are implemented, integrated, and operated. You will own the technical execution of our Workday and ERP ecosystem, leveraging Claude, Gemini, and Cursor to drive implementation velocity, integration quality, and continuous system improvement. This role will be an intelligent system engineer and builder for the data pipelines and AI agentic workflows connecting Juul Lab's global HCM, ERP, and CRM landscape.

We are looking for a developer who doesn't "connect" systems but builds an autonomous, resilient integration layer. This role shall bring deep platform knowledge and the judgement to know when to configure, when to code, and when to let AI do the heavy lifting.

• Serve as a cross-functional technical expert across the Workday with the Enterprise Systems (ERP) ecosystems ensuring system integrity, data quality, and alignment with evolving business requirements.
• Identify, pilot, and scale low-friction AI use cases across Enterprise Systems – including streamlining internal operations
• Lead Workday and ERP implementations using AI-augmented methodologies – from requirements extraction and gap analysis through UAT script generation, training material creation, and post go-live support
• Leverage Cursor with LLM-pair programming (Claude/Gemini) to achieve step-change development velocity on integration builds, transformation scripts, and API documentation.
• Generate and maintain UAT test scripts, data migration mappings, and functional specifications documents using AI tooling – reducing manual authoring time.
• Produce high-fidelity technical documentation using AI tooling to draft than human review to validate
• Write and maintain robust code (Python, JavaScript, or SQL) to automate business logic and system workflows. You will move beyond "out-of-the-box" features to build custom solutions that solve complex enterprise challenges.