Senior PM, Global Language & Translation Platform

Medallia; McLean (VA); Hybrid; USD 171,000 - 250,000; Full time

Benefits offered by this job

Health benefits

401(k)

Paid parental leave

Paid holidays

Job summary

Medallia is seeking a Senior Product Manager who will own language and translation as a platform capability, spanning GenAI, NLP, and Text Analytics. You will define language extension standards, coordinate requirements across product, data science, and engineering, and ensure consistent multi-language behavior across features.

The role requires a strong track record in platform initiatives, an ability to translate strategy into reusable frameworks, and close collaboration with data science and

Qualifications

• Bachelor's degree in a science, engineering, or related quantitative field, or equivalent experience.
• 5+ years of product management experience in enterprise SaaS, focused on data, analytics, NLP, or ML and AI products.
• Demonstrated experience owning a horizontal or platform capability that multiple feature teams depend on.
• Demonstrated experience designing and implementing reusable frameworks, developer tools, or shared service standards adopted across multiple engineering teams.
• Demonstrated understanding of AI/ML or NLP products, including partnering with data science on evaluation, annotation, and model quality.
• Demonstrated experience driving cross-functional initiatives across product, engineering, and data science or research.
• Track record of taking ambiguous or loosely defined infrastructure problems, establishing technical requirements, and leading them through architecture design to production rollout and operational monitoring.

Responsibilities

• Own the GenAI and Text Analytics language strategy: which languages Medallia supports, the weighted rubric for prioritizing new ones, and the roadmap to bring every feature to parity across the supported set.
• Define the repeatable, productized process for extending a feature into a new language, including requirements, handoff standards between feature teams, platform, and data science, and a clear definition of what language extension means for each feature, so extension stops being bespoke work each time.
• Own the administration and control-plane capability to enable and disable languages per feature and per tenant, including preview (zero-shot) enablement for the approved language list, with the guardrails and DISCLAIMERS required for unvalidated languages.
• Own the strategy and controls for how each feature processes multi-language data, including native-language versus translated processing and per-feature language routing, along with the decision framework for choosing between them across features including, but not limited to, Text Analytics and GenAI.
• Own translation as a platform product, consolidating it from its current fragmented state into a coherent, ownable capability, and partner with engineering on the underlying translation services and language-specific parsing for Text Analytics and ML.
• Own language extension beyond the first release: feature teams own the first extension of their own feature, while this role owns the strategy, framework, and every subsequent extension, enabling a clean handoff from the initial owners.
• Partner with data science and specialist annotation vendors on the multilingual evaluation and annotation pipeline, using native-speaking subject-matter annotators, so language quality is validated rather than assumed.
• Collaborate across teams, aligning feature product managers, data science, and engineering to deliver consistent multi-language behavior across the platform.

Skills

Product management

Cross-functional collaboration

Architecture & infra

AI/ML/NLP domain knowledge

Strategy & roadmap

Production rollout

Education

Bachelor's degree in science/engineering or related quantitative field

Tools

Productboard

JIRA

Job description

Medallia is seeking a Senior Product Manager who will own language and translation as a platform capability, spanning GenAI, NLP, and Text Analytics. You will define language extension standards, coordinate requirements across product, data science, and engineering, and ensure consistent multi-language behavior across features.

The role requires a strong track record in platform initiatives, an ability to translate strategy into reusable frameworks, and close collaboration with data science and