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SAS
SAS
H1B vizos rėmėjasB2BDirbtinis intelektasSaaS
SAS kuria analitikos programinę įrangą, padedančią organizacijoms paversti duomenis informacija pagrįstais verslo sprendimais. Jos platforma įvairių pramonės šakų įmonėms apima pažangiąją analitiką, verslo analitiką, duomenų valdymą ir prognozuojamąją analitiką, padedančią gerinti veiklos rezultatus ir atrasti naujų inovacijų galimybių.
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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.

USJungtinės ValstijosNCŠiaurės KarolinaHibridinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųInžinerijos vadovas
JavaScriptPythonTypeScript

Aprašymas

  • 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.

Reikalavimai

  • 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.

Privalumai

  • 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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