Enterprise Systems Engineer at Juul Labs — San Francisco, USA | Base Career

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 just "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.

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 systems. 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)

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.

Bachelor’s degree in Computer Science, Software Engineering, or a related quantitative field.

A place to grow your career. We’ll help you set big goals - and exceed them
People. Work with talented, committed and supportive teammates
Equity and performance bonuses. Every employee is a stakeholder in our success
Cell phone subsidy, commuter benefits and discounts on JUUL products
Excellent medical, dental and vision, disability, and life insurance, plus family support, wellness, legal, and employee assistance program benefits
401(k) plan with company matching
Plus biannual discretionary performance bonuses

Juul Labs is proud to be an equal opportunity employer and is committed to creating a diverse and inclusive work environment for all employees and job applicants, without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status.

We will consider for employment qualified applicants with arrest and conviction records, pursuant to the San Francisco Fair Chance Ordinance.

Juul Labs also complies with the employment eligibility verification requirements of the Immigration and Nationality Act.

All applicants must have authorization to work for Juul Labs in the US.

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