Senior Product Manager, Translation Quality & Platform

Lilt; United States; Remote; USD 130,000 - 190,000; Full time

Job summary

LILT in the United States is seeking a Senior Product Manager, Translation Quality & Platform to improve translation quality, the expert and linguist experience, and customer-facing analytics, while owning initiatives across the broader LILT platform.

This role combines strong product judgment, hands-on AI and agentic fluency, comfort with data, and customer-facing leadership within a cross-functional team including Engineering, Data, and Customer Success.

Responsibilities

• Roadmap and priorities: own translation quality, expert and linguist experience, and customer-facing reporting experiences. Align analytics delivery with Data Engineering on data readiness and capacity.
• AI Review and AI QA: lead product delivery from problem definition through evaluation, requirements, user acceptance testing, and release. Improve translation quality and consistency, set targets for quality, latency, cost, and reviewer effort.

Job description

About LILT

AI is changing how the world communicates — and LILT is leading that transformation.

We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.

At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Dance in the customer's shoes; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI.

About the role

LILT is seeking a Senior Product Manager, Translation Quality & Platform on our Product team to improve translation quality, the expert and linguist experience, and customer-facing analytics, while taking ownership of selected initiatives across the broader LILT platform. This person will combine strong product judgment, hands-on AI and agentic fluency, comfort with data, and customer-facing leadership.

At LILT, AI Review improves translations before human review, while AI QA helps experts catch high-impact errors before delivery. Our customer-facing analytics bring together quality metrics, turnaround-time reporting, and spend reporting. As LILT moves toward verified, provable translation, this role owns the product requirements for quality measurement and evidence: how we evaluate improvements, how quality signals inform delivery decisions, and how we communicate results and limitations to customers.

This is a permanent, full-time role that begins by taking on an existing PM's translation quality, expert-experience, and analytics work during leave, then evolves with business priorities and team capacity.

The PM will serve as the single directly responsible individual for AI Review, AI QA, and the expert and linguist experience. They will own customer reporting needs, reporting experiences, and product prioritization for customer-facing analytics, partnering with Data Engineering on the underlying data capabilities. They will use AI and agentic systems to accelerate product discovery, prompt and model evaluation, data analysis, and cross-functional execution while working closely with Engineering, Applied AI and Research, Production, Quality, Customer Engineering, Customer Success, Forward‑Deployed Engineering, and customers.

As part of a small, dynamic Product team, this person will serve as a product point of contact for customers and take on selected broader Platform initiatives, such as workflow automation, admin settings, permissions, or account structures. Scope and priorities will be set with Product leadership and the relevant product owners, balancing customer needs, business priorities, and team capacity.

What you'll own

• Roadmap and priorities: own the roadmap, tradeoffs, and delivery sequencing for translation quality, the expert and linguist experience, and customer-facing reporting experiences. Align analytics delivery with Data Engineering on data readiness and capacity. Keep intake, backlog, status, risks, and customer impact clear and current.

• AI Review and AI QA: lead product delivery from problem definition through evaluation, requirements, user acceptance testing (UAT), and release. Improve translation quality and consistency, including adherence to customer terminology and translation requirements. Set appropriate quality, latency, cost, and reviewer‑effort targets for each feature, and use evidence to guide release decisions. Engineering owns implementation and reliability; Applied AI and Research own technical model, prompt, and evaluation work.