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SAS
SAS
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SAS develops analytics software that helps organizations turn data into informed business decisions. Its platform brings together advanced analytics, business intelligence, data management, and predictive analytics for companies across a range of industries, supporting efforts to improve performance and identify new opportunities for innovation.
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Software Localization Engineering Manager at SAS

Lead SAS’s localization engineering team as it builds AI-assisted systems for multilingual data and analytics software. Guide the expansion of translation management, machine translation, LLM, and delivery workflows.

USUnited StatesNCNorth CarolinaHybridFull-timeMiddleSeniorEnglish RequiredEngineering Manager
JavaScriptPythonTypeScript

Description

  • Lead localization engineers in developing automated and AI-assisted solutions.
  • Set team strategy and direct work toward business and organizational objectives.
  • Build team capability through coaching, talent development, and performance management.
  • Advance the platforms, services, and infrastructure used to deliver software and content globally.
  • Guide the use of machine translation and LLM-based localization workflows.
  • Manage scalable integrations among product systems, content platforms, and development pipelines.
  • Work with engineering, QA, localization, and internationalization teams to improve quality, efficiency, and delivery.
  • Promote localization practices, technical standards, and automation across the organization.
  • Track and improve localization productivity and operational performance.
  • Maintain compliance with secure development practices and organizational policies.
  • Report to the Globalization Director.
  • Coordinate across time zones to deliver multilingual software experiences.

Requirements

  • At least six years in technical localization management.
  • Two years of people management experience.
  • At least two years of demonstrated leadership experience.
  • Bachelor’s degree in computer science, business, or a related field.
  • Relevant education, training, and experience may be considered as an equivalent combination.
  • Experience leading engineering teams, setting goals, and overseeing technical projects.
  • Ability to collaborate across product teams and encourage workflow adoption through clear communication and technical leadership.
  • Expertise in AI and machine learning, particularly for developer tools or localization workflows.
  • Practical experience with a programming language such as TypeScript, JavaScript, or Python.
  • Experience with translation management systems, workflows, and metrics.
  • Experience with GitHub Enterprise.
  • Familiarity with automated localization testing tools such as Robot Framework and Playwright.
  • Availability for meetings outside standard working hours as needed.
  • Experience with neural machine translation.
  • Experience developing AI or machine learning tools, services, or plug-ins that support developer efficiency and global readiness.
  • Experience with Jira and Confluence.
  • A master’s degree is a plus.
  • Must be legally authorized to work in the United States.
  • Must not require employment visa sponsorship now or in the future.

Benefits

  • Medical, prescription, dental, and vision coverage.
  • PPO plan with a low annual deductible and copayments.
  • High-deductible health plan paired with a health savings account funded in part by SAS.
  • Onsite health care center at no cost for employees and family members enrolled in the PPO plan.
  • Onsite pharmacy, with prescriptions shipped at no extra charge for employees outside the headquarters area.
  • 401(k) plan.
  • Tuition assistance.
  • Programs and resources for professional development.
  • Generous vacation allowance.
  • Paid holidays.
  • U.S. Winter Wellness Break from December 25 through January 1.
  • Paid volunteer time off.
  • Parental leave.
  • Unlimited paid sick days.
  • Childcare benefits for full-time employees.
  • Hybrid work in Cary, North Carolina, or remote work from outside North Carolina.

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