Staff Localization Program Manager

About the company

The company operates the world’s largest professional network, designed to help people build meaningful connections, uncover opportunities, strengthen their skills, and gain useful insights. It also emphasizes employee growth and aims to foster a workplace grounded in trust, care, inclusion, and enjoyment.

Role overview

This position sits within the Knowledge Management Solutions team, which develops self-service content for members, customers, and employees. The team produces instructional, process, and technical content using both traditional and AI-assisted approaches, delivering it through help centers, virtual assistants, in-product experiences, enterprise search, and CRM tools.

The Staff Localization Program Manager will lead the strategy, systems, and execution needed to scale AI-enabled localization across global content experiences. The role centers on AI-first localization workflows, platform integrations, and quality processes that improve translation accuracy, speed, and cost efficiency.

This person will act as the in-house specialist for localization and for designing AI-native localization systems and workflows, working closely with Marketing Technology, Engineering, Data Science, and content teams to build scalable production-ready solutions.

Work location

The role is hybrid, with work split between home and a company office on selected days depending on business needs. This position may be based in New York, Sunnyvale, San Francisco, or Mountain View.

What you will do

• Help mature localization capabilities by expanding LLM-based solutions across global content.
• Own the design and ongoing development of AI-enabled localization systems, agentic workflows, and operating models across the content ecosystem.
• Build and scale localization processes end to end, including platform integrations, content routing, translation, evaluation, and quality validation.
• Create automated and agentic approaches that improve efficiency, consistency, and scalability across languages and content types.
• Partner with Data Science, Engineering, and content teams to deliver localization needs tied to platform and AI initiatives.
• Set and manage performance goals for automation, quality, speed, cost efficiency, coverage, and adoption, using data to monitor progress and prioritize work.
• Improve translation quality and time-to-market while reducing reliance on manual and vendor-heavy processes over time.
• Serve as the primary expert on localization strategy, AI-supported workflows, and scaling systems.

Required background

• At least 8 years of experience in localization, internationalization, language technology, AI-enabled content systems, or similar program leadership roles.
• At least 5 years of experience leading complex, ambiguous, cross-functional programs in a fast-moving environment as a senior individual contributor.
• At least 5 years of hands-on work with translation management systems, machine translation, LLMs, NLP-based localization workflows, and AI-driven content operations.
• At least 3 years of experience building scalable localization and AI-enabled language systems, including automated quality evaluation frameworks and model-based improvements to user experience.
• Professional English proficiency plus at least one additional language, along with at least 3 years using both languages in localization, content, translation, or multilingual business settings.
• At least 3 years of experience using dashboards, SQL, or performance data to guide decisions.

Preferred background

• 2 or more years of experience managing budgets, vendor relationships, and operational performance in localization.
• Strong understanding of content and localization systems such as CCMS, TMS, taxonomy, terminology, and metadata structures.
• Experience building processes that improve efficiency and quality for large teams.
• Experience with multilingual quality methods such as MQM, QE, and other structured evaluation approaches.
• Experience managing terminology, glossaries, and style guides to keep multilingual content consistent.
• Experience supporting platform migrations, system integrations, or large-scale content transformation efforts.
• Strong communication and influencing skills with the ability to lead through cross-functional partnership.

Compensation

The salary range for this position is USD 115,000 to USD 186,000 annually. Final compensation depends on factors such as skills, experience depth, certifications, and work location. The total package may also include an annual performance bonus, stock, benefits, and other incentive compensation.

Additional information

This employer follows fair and equitable compensation practices and is committed to equal opportunity in hiring. Candidates are considered without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected status.

The company also provides an inclusive and accessible hiring experience for applicants with disabilities. Reasonable accommodation requests related to the application or interview process can be submitted for disability-related needs. Examples include alternate-format documents, accessible interview locations, service animals, and sign language interpreters.

Accommodation requests are typically answered within three business days. Requests unrelated to disability accommodation, such as follow-ups on an application, will not receive a response.

The employer also states that it will not retaliate or discriminate against employees or applicants for discussing or disclosing compensation information where protected by law. It follows applicable fair chance hiring rules for applicants with arrest or conviction records where required, and complies with pay transparency and data privacy obligations for job candidates.

Additional candidate notices and legal compliance information apply, including pay transparency, privacy, and work authorization-related disclosures.

Why this role stands out

• Play a core role in moving AI-first localization from early experiments into production.
• Lead the creation and management of AI-powered systems for translation, evaluation, and quality validation.
• Drive high-impact work across content platform modernization and real-time localization programs.
• Deliver measurable gains in speed, quality, and long-term cost efficiency.