Enterprise Systems Engineer

Juul Labs is dedicated to transitioning adult smokers away from combustible cigarettes and focuses on innovation and quality. The Enterprise Systems Engineer will lead the implementation and integration of AI-driven enterprise systems, ensuring data integrity and system improvements across the organization.

Responsibilities:

• 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 You will move beyond "out-of-the-box" features to build custom solutions that solve complex enterprise challenges
• Serve as the technical lead for massive "Source-to-Target" migration workstreams. You will personally execute the ETL processes, ensuring that legacy data is scrubbed, normalized, and mapped correctly into modern environments
• Develop and maintain AI-augmented workflows within the Juul Labs ecosystem, utilizing Claude and Gemini to build intelligent agents that assist in compliance monitoring and cross-system data reconciliation
• Identify architectural weaknesses and implement preventative measures to ensure long-term platform stability across the Workday and ERP ecosystem
• Advanced proficiency in Cursor for rapid prototyping and code review
• Hands on experience with Claude/Gemini for agentic workflow design, requirements synthesis, test generation, and documentation automation
• Experience integrating AI tooling into enterprise delivery workflows – not just productivity, but team-level process change
• Deep understanding of the data objects and backend structures of Tier 1 platforms (e.g., Workday, Acumatica, Big Query, ServiceNow)
• Strong working knowledge of Workday HCM - data model, integration framework (EIBs, Workday Studio, or Extend), and business process configuration
• Expert proficiency in SQL (data profiling, validation, stored procedures, CTEs, performance tuning) for data profiling and validation. You must understand complex relational schemas and how to maintain referential integrity across disparate Expert proficiency in at least one high-level language (Python, JavaScript, C#, or Ruby)
• Deep hands-on experience with REST/SOAP API Design, JSON/XML parsing, and iPaaS platforms. You should be comfortable building custom connectors
• Experience with version control (Git), CI/CD pipelines for system updates, and producing high-fidelity technical documentation (ERDs, Sequence Diagrams)
• Documentation Excellence: Mastery in producing high-fidelity technical artifacts including Sequence Diagrams, RDs, Data Flow Diagrams, and Functional Specification Documents (FSDs)

Requirements:

• 5+ years of technical experience in Systems Engineering, Integration Development, or ERP/HCM implementation
• Must have personally executed at least two enterprise-scale HCM or ERP implementations or global system migrations
• Demonstrated track record of adopting AI tools to change how work gets done – redesigning delivery workflows around LLM capabilities
• Excellent verbal and written communication skills with a proven ability to work cross-functionally
• Demonstrated experience with data analysis, validation, and working with large data sets
• Exceptional ability to deconstruct complex business rules into logical, executable code
• Strong analytical, problem-solving, and organizational skills
• Advanced proficiency in Cursor for rapid prototyping and code review
• Hands on experience with Claude/Gemini for agentic workflow design, requirements synthesis, test generation, and documentation automation
• Experience integrating AI tooling into enterprise delivery workflows – not just productivity, but team-level process change
• Deep understanding of the data objects and backend structures of Tier 1 platforms (e.g., Workday, Acumatica, Big Query, ServiceNow)
• Strong working knowledge of Workday HCM - data model, integration framework (EIBs, Workday Studio, or Extend), and business process configuration
• Expert proficiency in SQL (data profiling, validation, stored procedures, CTEs, performance tuning) for data profiling and validation
• Expert proficiency in at least one high-level language (Python, JavaScript, C#, or Ruby)
• Deep hands-on experience with REST/SOAP API Design, JSON/XML parsing, and iPaaS platforms
• Experience with version control (Git), CI/CD pipelines for system updates, and producing high-fidelity technical documentation (ERDs, Sequence Diagrams)
• Documentation Excellence: Mastery in producing high-fidelity technical artifacts including Sequence Diagrams, RDs, Data Flow Diagrams, and Functional Specification Documents (FSDs)