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ashby

Integrations Engineer II, Business Systems

Whoop
Boston, USA
Full-time
Mid · 4+ years experience
Onsite
Discovered 2 weeks ago
javanetsuitepythonsap

Full Job Posting

RESPONSIBILITIES:

  • Design, build, and maintain EDI integrations that connect WHOOP with external trading partners, vendors, and third-party logistics providers
  • Lead efforts to implement and manage EDI standards such as ANSI X12 or EDIFACT across key transaction sets (e.g., 850, 810, 856)
  • Collaborate with internal teams across Supply Chain, Finance, and Sales to translate business needs into scalable EDI and system integration solutions
  • Manage and optimize the integration platform and EDI infrastructure, ensuring reliability, security, and visibility of data flows
  • Support onboarding of new trading partners by defining mapping specifications, conducting testing, and managing production cutovers
  • Develop and enforce best practices for system interoperability, data transformation, and monitoring across enterprise systems
  • Proactively identify opportunities for automation and efficiency improvements across systems and workflows

QUALIFICATIONS:

  • 4+ years of experience in systems integration or backend engineering roles, with a focus on EDI integrations
  • Deep expertise in EDI standards (e.g., ANSI X12, EDIFACT) and familiarity with key transaction sets used in supply chain and finance workflows
  • Hands-on experience with EDI platforms or integration tools (e.g., Cleo, SPS Commerce, Boomi, Orderful, MuleSoft, Workato)
  • Strong proficiency in data transformation and mapping technologies, and understanding of structured data formats such as JSON, XML, and flat files
  • Familiarity with backend programming languages (e.g., Python, Java) and experience building or managing APIs
  • Familiarity with ERP, logistics, and finance systems such as NetSuite, SAP, or similar
  • Proven ability to partner with cross-functional teams and external vendors to manage integration projects end-to-end
  • Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders
  • Experience in high-growth environments with complex business systems and data ecosystems
  • Strong problem-solving skills and ability to work independently in a fast-paced, dynamic environment
  • Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions
  • This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
  • Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
  • WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility
  • The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
  • At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
  • The U.S. base salary range for this full-time position is $125,000 - $175,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
  • In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
  • These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

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