LILT - Senior Product Manager, Translation Quality & Platform

• Customer discovery and product triage: lead technical conversations on quality, analytics, and the expert and linguist experience, and act as a product point of contact for customers. Customer Engineering and Customer Success own routine support; you partner on product escalations and coordinate legal, security, or data-processing questions with the appropriate teams. • Customer discovery and product triage: • Delivery and communication: write clear product requirements documents (PRDs), acceptance criteria, and UAT plans; lead UAT and release readiness with cross-functional partners; and communicate decisions, progress, and release notes. • Delivery and communication: • Broader Platform work: take ownership of selected additional initiatives as priorities and capacity allow, with scope agreed with Product leadership and the relevant product owners. • Broader Platform work: • Connector strategy, delivery, and reliability are outside this role's scope and sit with the Technical Product Manager, Connectors. • Hands-on builder mindset and AI fluency: Demonstrated ability to use AI and agentic workflows to accelerate discovery, evaluation, analysis, requirements, documentation, and troubleshooting. Writes and tests prompts, runs analyses, and builds lightweight prototypes or tools when useful. Evaluates outputs critically without outsourcing judgment or accountability; production implementation remains with Engineering. • Hands-on builder mindset and AI fluency: • AI evaluation and LLM product experience: Understands how to measure an AI feature using test sets, precision and recall, acceptance rates, latency, cost, and error scoring. Can distinguish a real quality gain from noise and explain tradeoffs across quality, speed, reviewer effort, and economics to non-technical stakeholders. • AI evaluation and LLM product experience: • Data and analytics fluency: Comfortable with SQL or similar tools, defining metrics, and turning customer reporting needs into clear data requirements. • Data and analytics fluency: • Production and quality grounding: Understands how translation is actually produced: linguist workflows, review stages, quality programs, and where they break. Uses that knowledge to design AI features that production teams and linguists trust and adopt. • Production and quality grounding: • Product judgment and ownership: Can prioritize across a noisy, multi-customer backlog; write clear specifications and acceptance criteria; sequence work against capacity; distinguish one-off issues from systemic problems; and drive ambiguous work to closure. Learns unfamiliar product areas quickly and takes ownership of selected initiatives beyond an established specialty. • Product judgment and ownership: • Customer presence: Can lead discovery and troubleshooting directly with enterprise customers while translating complex details for localization managers, administrators, and business stakeholders. This is an essential requirement. • Customer presence: • Clear communication: Produces concise decisions, plans, status updates, documentation, and release notes across technical and non-technical teams. • Clear communication: • Background in localization production, operations, or language quality before moving into product, including structured linguistic quality evaluation programs, such as 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, such as 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. • What success looks like • Maintain continuity of active work and customer relationships while building a strong understanding of the portfolio, customer needs, and the expert and linguist experience. • Keep priorities, backlog, status, and risks clear and current, with scope and delivery expectations aligned across teams. • Drive measurable improvements in AI Review, AI QA, and expert review effectiveness, using automated quality assessment, evaluation evidence, and customer and linguist feedback to guide decisions. • Ensure quality claims within the portfolio are backed by credible evaluation evidence, with results and limitations clear to customers. • Advance customer-facing analytics toward clear, trustworthy reporting on quality, turnaround time, and spend, aligned with data readiness and engineering capacity. • Turn expert and linguist pain points into practical improvements in usability, reviewer effort, and delivery efficiency, in partnership with Production, Quality, and Engineering. • Partner effectively with customer-facing teams on timely product triage and clear follow-through. • Use AI and agentic workflows to improve the speed and quality of product work, while adapting to additional priorities, including selected Platform work. • Location • This role is open to candidates based in the United States or the United Kingdom. We are unable to offer visa sponsorship for this position. • Our Story • Our Story • Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born. • LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI. • With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning. • Our Tech • Our Tech • What sets our platform apart: • Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent • Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing • 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation • Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review • LILT in the News • LILT in the News • Featured in The Software Report’s Top 100 Software Companies! • LILT makes it onto the Inc. 5000 List. • LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry. • Check out all our news on our website. • Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. • At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at [email protected].