Production Manager, Applied AI

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

Were on a mission to make the worlds 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 virtuesWork together win together; Find a way or make one; Dance in the customers shoes; Quicker than they expect; Quality is Job 1guide 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 were building a category-defining company in a $50B global translation market being redefined by AI.

• PM Performance

  • Outcome: Every active program has accountable Project Manager(s) and every PM carries a workload within the agreed span. Programs hit on-time delivery and first-pass acceptance targets without escalation; each PM is reviewed monthly against a scorecard of throughput quality and cost-per-task.

• PM Hiring Onboarding and Development

  • Outcome: PM pool capacity keeps pace with signed demand: new PMs are sourced onboarded and running their first program within the agreed ramp window all programs start on time and PM attrition is below threshold.

• Quality Interventions Across Programs

  • Outcome: Quality dips are caught mid-program through QA loops and corrected via retraining of annotator pools or guideline updates. Repeated misses by a PM or annotator pool lead to documented remediation or replacement. Issues are proactively discovered.

• Process Standardization & Software Improvements

  • Outcome: Programs launch from shared playbooks guideline templates and dashboard standards rather than being rebuilt per engagement. Every post-mortem produces documented improvements that lead directly into our custom software stack and time from program handoff to first delivery declines quarter over quarter.

• Escalation and Cross-Functional Interface

  • Outcome: Risks surface to Technical Program Managers early enough to be managed. Escalations between the PM pool Quality Talent and Delivery are resolved within agreed timelines.

• People management in AI data operations: 5 years in AI/ML data operations or production including 2 years directly managing project managers or team leads in a distributed multi-time-zone contractor environment.

• LLM knowledge: Strong understanding of LLM training processes (pre-training SFT RLHF) and evaluation methodologies (human-in-the-loop red teaming) and of what drives quality and throughput in annotation workflows.

• KPI-driven management: Has run teams against throughput quality (accuracy IAA gold-set) and cost-per-task targets; advanced proficiency with spreadsheets and dashboards and able to use SQL to extract and analyze performance data.

• Delivery track record: Has sustained on-time delivery and acceptance targets across multiple concurrent data collection or evaluation programs for enterprise or research lab customers.

• Contractor workforce operations: Has hired ramped performance-managed and offboarded hourly and freelance staff across regions and languages.

• Methodology: Proven track record using Agile Scrum or Kanban to manage complex workflows across a portfolio of programs.

• Communication: Writes clear unambiguous guidelines and feedback for multilingual audiences and communicates status risk and tradeoffs crisply to leadership.

• Fluency in multiple human languages.

• Experience with multilingual data deliveries (pre-training SFT RLHF machine translation multimodal etc.) especially in rare-resource languages

• Experience with data annotation platforms (e.g. Label Studio SuperAnnotate) and project management tooling (e.g. Jira).

• Background in ML engineering computer science or data science.

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 wasnt used for enterprise products and services inside the quality just wasnt 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 didnt 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 LILTs journey is just beginning.

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

• Featured in The Software Reports Top 100 Software Companies!

• LILT makes it onto the Inc. 5000 List.

• LILTs 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 LILTs Privacy Policy 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

LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individuals race religion color national origin ancestry sex sexual orientation gender identity age physical or mental disability medical condition genetic characteristics veteran or marital status pregnancy or any other classification protected by applicable local state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Required Experience:

Manager