S

SAS

Analytics, BI, and data management software

Software Localization Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Minimum 6 years of experience in a technical localization management role, including 2 years of people management.
  • At least 2 years of demonstrated leadership experience, such as Team Lead, Technical/Project Lead, or People Manager.
  • Bachelor’s degree in computer science, business, or a related field; equivalent related education, training, and experience may be considered.
  • Track record of leading engineering teams, setting goals, and overseeing technical projects.
  • Ability to work across product teams and influence workflow adoption through clear communication and technical leadership.
  • Expertise in artificial intelligence and machine learning technologies, especially as applied to developer tools or localization workflows.
  • Hands-on experience with at least one programming language, such as TypeScript, JavaScript, Python, or a similar language.
  • Experience with Translation Management Systems tools, workflows, and metrics.
  • Experience with GitHub Enterprise.
  • Familiarity with automated localization testing frameworks such as Robot Framework and Playwright.
  • Flexibility to participate in meetings outside standard working hours to support collaboration with global teams and stakeholders.

Responsibilities

  • Lead a team of localization engineers, driving innovation through automation and artificial intelligence-enabled solutions.
  • Set the team’s strategic direction and guide execution against business and organizational goals.
  • Foster a high-performing culture through coaching, talent development, and performance leadership.
  • Drive the evolution of localization platforms, services, and infrastructure supporting global software and content delivery.
  • Guide adoption of next-generation localization technologies, including machine translation and large language model-based workflows.
  • Oversee scalable integrations across product systems, content platforms, and development pipelines.
  • Partner across engineering, quality assurance, and localization teams to improve quality, efficiency, and delivery outcomes.
  • Champion localization best practices, technical standards, and automation strategies across the organization.
  • Measure and continuously improve localization productivity and operational performance.
  • Ensure compliance with secure software development practices and organizational policies.

Desired Qualifications

  • Experience with Neural Machine Translation.
  • Experience developing artificial intelligence and machine learning-based tools, services, or plug-ins that support developer efficiency and global readiness.
  • Experience with JIRA and Confluence.
  • A master’s degree.

About the Company

SAS

Analytics, BI, and data management software

SAS provides analytics, business intelligence, and data management software and services to organizations across government, business, and academia. Its products cover data mining, statistical analysis, forecasting, and optimization, and are sold as software licenses, with accompanying training, consulting, and support services. The platform typically helps users analyze large data sets and turn insights into decisions through a full analytics lifecycle—from data preparation to modeling and deployment. SAS differentiates itself through its long history (founded in 1976) and a broad, enterprise-grade suite with extensive services and a global presence that serve many of the world’s largest organizations. Its goal is to help customers become data-driven by turning data into actionable insights that improve decision making and outcomes.

Company size
10,001+
Company stage
Grant
Total funding
$1M
Headquarters
Cary, NC
Founded
1976

Recently Posted Jobs

Explore more opportunities at SAS

See more jobs