Jobs at Phrase (phrase.com)

Owns Phrase’s global Customer Success strategy, organization, operating model, budget, KPIs, and retention and growth outcomes. Leads regional and team-level Customer Success leaders, develops executive relationships with strategic accounts, drives expansion with Sales, Product, and Marketing, represents customer needs to executives and the Board, and builds a data-driven global CS culture in a B2B SaaS environment.

Own the content strategy and editorial calendar across the marketing funnel. Write, commission, edit, and manage content across formats; coordinate designers, writers, agencies, and cross-functional marketing specialists; apply AI thoughtfully; present plans to stakeholders; track performance; and manage the content budget.

Lead the rebuild of Phrase’s multilingual marketing website using Next.js, Storyblok, and Vercel. Own the reusable component library, WordPress content migration, accessibility and performance automation, SEO migration implementation, deployments, monitoring, integrations, and ongoing site development. Serve as marketing’s primary technical website contact and independently manage the live platform across six languages using AI-assisted coding workflows.

Manages Phrase’s global marketing communications across social media, webinars, academic partnerships, review platforms, awards, website content, podcasts, and newsletters. Builds professional communities, coordinates communications programs, monitors performance, and optimizes content using analytics and AI tools. The role collaborates with product and regional marketing teams while maintaining strong editorial quality across international B2B audiences.

Lead research workstreams for production AI systems supporting translation and language quality. Design, fine-tune, and evaluate LLMs; build agentic NLP workflows; develop hybrid automated and human evaluation frameworks; benchmark frontier models; and guide data, active-learning, and feedback strategies. Partner with Product and Engineering to ship research capabilities, mentor junior researchers, review technical work, contribute to hiring, and represent research across the organization.

Conduct applied AI research for production language systems, including fine-tuning LLMs, developing translation-quality evaluation pipelines, benchmarking models, building agentic workflows, and running reproducible experiments. Collaborate with Product, Engineering, and Solutions to ship research-driven capabilities. The role focuses on NLP, machine translation, human and automated evaluation, feedback loops, and continuous model improvement under the guidance of senior researchers.

Lead research and production development of LLMs and transformer models for machine translation and language quality. Design evaluation frameworks, agentic NLP workflows, training pipelines, and model-provider strategies. Own flagship model programs from data curation through production integration, mentor researchers, review technical work, and collaborate with Product and Engineering to ship capabilities. The role requires deep NLP and LLM expertise, rigorous experimentation, strong Python and ML library skills, and technical leadership.