обновлено 3 дня назад
Senior Product Manager, Language & Translation Platform (AI)
170 500 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager, Language & Translation Platform (AI): Building a unified language and translation platform capability for GenAI, Text Analytics, and multilingual data processing with an accent on language strategy, reusable extension frameworks, and translation controls. Focus on designing language routing and control-plane capabilities, validating quality through annotation and evaluation pipelines, and aligning product, engineering, and data science teams.
Location: McLean, Virginia, United States; hybrid with onsite work 3 days per week. Candidates based in the Tysons vicinity are prioritized.
Annual base salary: $170,500–$240,000 USD
Company
provides the Experience Cloud, a SaaS platform for managing customer, employee, candidate, patient, and resident experiences.
What you will do
- Own the language strategy and roadmap for GenAI and Text Analytics, including prioritization of supported languages and feature parity.
- Define reusable processes, requirements, handoff standards, and frameworks for extending platform features into new languages.
- Own administration and control-plane capabilities for enabling and disabling languages by feature and tenant, including guarded preview support for unvalidated languages.
- Define multilingual processing, language routing, native-language versus translated workflows, and translation platform controls.
- Partner with engineering, data science, and annotation vendors on translation services, language-specific parsing, evaluation, and annotation pipelines.
- Align product managers, engineering, data science, and research teams around consistent multilingual platform behavior.
Requirements
- Bachelor's degree in science, engineering, a quantitative field, or equivalent experience.
- 5+ years of product management experience in enterprise SaaS focused on data, analytics, NLP, ML, or AI products.
- Experience owning a horizontal or platform capability used by multiple feature teams.
- Experience designing reusable frameworks, developer tools, or shared service standards adopted across engineering teams.
- Understanding of AI/ML or NLP products, including evaluation, annotation, and model quality work with data science.
- Experience leading ambiguous infrastructure initiatives from technical requirements and architecture design through production rollout and monitoring.
Nice to have
- Experience with localization, translation, multilingual processing, and quality evaluation.
- Experience with GenAI and large language model applications such as summarization, classification, topic modeling, or agentic experiences.
- Experience with Customer Experience Management platforms, agile development, Productboard, or JIRA.
Culture & Benefits
- Hybrid work environment with three onsite days per week.
- Medical, dental, and vision coverage.
- 401(k), disability, life, and AD&D insurance.
- Statutory leaves, paid parental leave, and paid holidays.
- Equal opportunity workplace committed to diversity and inclusion.
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