Senior Product Manager (AI Translation Quality & Platform)

Location: Remote; candidates must be based in the United States or the United Kingdom. Visa sponsorship is not available.

Company

hirify.global develops AI-powered translation technology combining machine translation, large language models, agentic workflows, and human-in-the-loop review for enterprise customers.

What you will do

• Own the roadmap, prioritization, tradeoffs, backlog, risks, and delivery sequencing for translation quality, expert and linguist experiences, and customer-facing analytics.
• Lead AI Review and AI QA from problem definition through evaluation, requirements, UAT, release readiness, and launch, balancing quality, latency, cost, and reviewer effort.
• Define quality measurement, acceptance criteria, benchmarks, sampled human evaluations, and customer-facing evidence for AI verification and quality-based routing.
• Own reporting experiences for translation quality, turnaround time, spend, usage, and customer analytics in partnership with Engineering and Data Engineering.
• Improve expert and linguist workflows, usability, automation, reviewer effort, and human-AI collaboration with Production, Quality, linguists, and Engineering.
• Lead customer discovery, technical conversations, product triage, PRD and UAT planning, release communication, and selected broader Platform initiatives such as workflow automation, admin settings, permissions, APIs, or account structures.

Requirements

• Demonstrated ability to use AI and agentic workflows for discovery, evaluation, analysis, requirements, documentation, troubleshooting, prompt testing, and lightweight prototyping while retaining product judgment and accountability.
• Experience measuring AI features with test sets, precision and recall, acceptance rates, latency, cost, and error scoring, and explaining tradeoffs across quality, speed, reviewer effort, and economics.
• Comfort with SQL or similar tools, metric definition, analytics, and translating customer reporting needs into clear data requirements.
• Understanding of translation production, linguist workflows, review stages, quality programs, and the operational factors that affect adoption of AI features.
• Strong product judgment and ownership across multi-customer backlogs, specifications, acceptance criteria, capacity planning, systemic problem identification, and ambiguous initiatives.
• Ability to lead discovery and troubleshooting directly with enterprise customers and translate complex details for localization managers, administrators, and business stakeholders.
• Ability to produce concise decisions, plans, status updates, documentation, release notes, and communication for technical and non-technical teams.

Nice to have

• Background in localization production, operations, or language quality, including Multidimensional Quality Metrics (MQM) and terminology management.
• Experience with embedded analytics or BI tools in a B2B SaaS product.
• Experience supporting AI features in high-assurance or regulated environments, including subprocessor and data-processing requirements.
• Experience with platform product work involving admin settings, user permissions, APIs, or account structures.
• Experience introducing AI-enabled operating practices across product and engineering teams with measurable improvements in speed or quality.

Culture & Benefits

• Permanent, full-time remote role with candidates based in the United States or the United Kingdom.
• Work in a global collaboration environment focused on AI, machine translation, human-in-the-loop systems, and agentic workflows.
• Cross-functional collaboration with Engineering, Applied AI and Research, Production, Quality, Data Engineering, Customer Success, Customer Engineering, and customers.
• Product scope evolves with business priorities and includes opportunities to take ownership of selected Platform initiatives.
• Commitment to an inclusive, fair, and transparent hiring process with human oversight of automated application-evaluation tools.