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.
We’re looking for an Enterprise Account Development Representative (ADR) to help make that happen.
This role is ideal for someone early in their sales career (around 6–18 months of SDR experience) who is naturally competitive, curious, and comfortable using AI tools to work smarter. It’s a role for someone who enjoys figuring things out, experimenting, and improving their craft.
You’ll work closely with two experienced Enterprise Account Executives, partnering with them to break into strategic accounts and create meaningful opportunities.
Our philosophy is “strategic at scale.” That means thoughtful targeting, smart messaging, and creative outreach, not generic mass prospecting.
If you enjoy solving problems, testing new ideas and getting better every week, you’ll likely thrive here.
If you’re looking for a rigid playbook and constant direction, this probably isn’t the right fit.
Opening doors into strategic accounts
Your focus will be connecting with senior leaders at global companies - the people responsible for Marketing, AI, digital experience, localization and global content. Your goal is simple: create conversations that matter and convert.
Running thoughtful, multi-channel outreach
Executives don’t respond to generic outreach anymore. You’ll combine phone, LinkedIn, email, and signal-based triggers to reach people in ways that actually get attention.
Operating “strategic at scale”
You’ll balance smart automation with real personalization. Using research, signals, and AI tools, you’ll make sure outreach is relevant and well-timed rather than just high volume.
Working closely with experienced AEs
You’ll partner directly with two senior Account Executives to research accounts, plan entry strategies, and craft messaging that resonates.
Constantly improving your approach
Outbound is part art, part science. You’ll test ideas, review results, and refine your strategy to improve engagement and meeting quality over time.
We take development seriously.
You’ll receive regular, hands-on coaching from your manager, including:
Weekly coaching sessions on outreach strategy
Reviews of messaging and calls
Account planning with your AEs
Ongoing feedback on what’s working and what can improve
A team who lead by example and coach each other daily
The goal is simple: help you become exceptional at enterprise prospecting. We invest heavily in helping our team grow and sharpen their skills.
Modern outbound requires modern tools. You’ll work with a stack that includes:
Claude - AI-assisted research and message development
Amplemarket - signal-based outbound and orchestration
LinkedIn Sales Navigator - account mapping and prospect research
Trellus.ai - AI-powered call intelligence and coaching
We expect our team to be comfortable using AI to move faster and work smarter.
This role works best for someone who is naturally driven and enjoys a challenge.
You’ll likely thrive here if you are:
Competitive by nature
You enjoy performance environments and measuring yourself against clear goals.
Curious about how businesses work
You like understanding industries, companies, and people.
Comfortable experimenting with AI tools
You’re open to using new technology to improve how you work.
Self-directed
You don’t need constant instructions — you take initiative and figure things out.
Resilient
You expect rejection and keep moving forward anyway.
People with competitive sports backgrounds often do especially well in this role because of the discipline, persistence, and performance mindset it requires.
6–18 months experience in a quota-carrying SDR or BDR role, ideally in SaaS
Strong written and verbal communication skills
Confidence engaging senior executives
Experience running multi-channel outreach (phone, email, LinkedIn)
Strong research skills and attention to detail
Authorization to work in the United States
Mentorship from experienced enterprise sellers
You’ll work closely with AEs who have deep experience selling complex solutions.
Dedicated coaching and leadership support
Regular feedback and guidance from your manager to help you improve quickly.
A modern sales environment
We invest heavily in tools and AI that help our team operate at a high level.
Investment in your growth and development
We care about building great sales professionals and will actively support your development.
Real impact
The conversations you create directly contribute to the company’s growth.
You want to get really good at enterprise prospecting
You enjoy solving challenging outbound problems
You like experimenting with creative outreach
You want to work alongside experienced sellers and learn quickly
It’s probably not the right role if:
You prefer scripts and rigid playbooks
You’re uncomfortable with cold outreach
You want someone to tell you exactly what to do every day
If you’re competitive, curious, and excited about mastering enterprise outbound, we’d love to hear from you.
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.
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 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 recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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.
","descriptionPlain":"ABOUT LILT\n\nAI is changing how the world communicates — and LILT is leading that transformation.\n\nWe'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.\n\n 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 https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/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.\n\n\n\n\nTHE OPPORTUNITY\n\nWe’re looking for an Enterprise Account Development Representative (ADR) to help make that happen.\n\nThis role is ideal for someone early in their sales career (around 6–18 months of SDR experience) who is naturally competitive, curious, and comfortable using AI tools to work smarter. It’s a role for someone who enjoys figuring things out, experimenting, and improving their craft.\n\nYou’ll work closely with two experienced Enterprise Account Executives, partnering with them to break into strategic accounts and create meaningful opportunities.\n\nOur philosophy is “strategic at scale.” That means thoughtful targeting, smart messaging, and creative outreach, not generic mass prospecting.\n\nIf you enjoy solving problems, testing new ideas and getting better every week, you’ll likely thrive here.\n\nIf you’re looking for a rigid playbook and constant direction, this probably isn’t the right fit.\n\n\n\n\nWHAT YOU’LL BE DOING\n\nOpening doors into strategic accounts\n\nYour focus will be connecting with senior leaders at global companies - the people responsible for Marketing, AI, digital experience, localization and global content. Your goal is simple: create conversations that matter and convert.\n\nRunning thoughtful, multi-channel outreach\n\nExecutives don’t respond to generic outreach anymore. You’ll combine phone, LinkedIn, email, and signal-based triggers to reach people in ways that actually get attention.\n\nOperating “strategic at scale”\n\nYou’ll balance smart automation with real personalization. Using research, signals, and AI tools, you’ll make sure outreach is relevant and well-timed rather than just high volume.\n\nWorking closely with experienced AEs\n\nYou’ll partner directly with two senior Account Executives to research accounts, plan entry strategies, and craft messaging that resonates.\n\nConstantly improving your approach\n\nOutbound is part art, part science. You’ll test ideas, review results, and refine your strategy to improve engagement and meeting quality over time.\n\n\n\n\nCOACHING & DEVELOPMENT\n\nWe take development seriously.\n\nYou’ll receive regular, hands-on coaching from your manager, including:\n\n - Weekly coaching sessions on outreach strategy\n\n - Reviews of messaging and calls\n\n - Account planning with your AEs\n\n - Ongoing feedback on what’s working and what can improve\n\n - A team who lead by example and coach each other daily\n\nThe goal is simple: help you become exceptional at enterprise prospecting. We invest heavily in helping our team grow and sharpen their skills.\n\n\n\n\nTHE TOOLS YOU’LL USE\n\nModern outbound requires modern tools. You’ll work with a stack that includes:\n\n - Claude - AI-assisted research and message development\n\n - Amplemarket - signal-based outbound and orchestration\n\n - LinkedIn Sales Navigator - account mapping and prospect research\n\n - Trellus.ai http://Trellus.ai - AI-powered call intelligence and coaching\n\nWe expect our team to be comfortable using AI to move faster and work smarter.\n\n\n\n\nWHO TENDS TO DO WELL HERE\n\nThis role works best for someone who is naturally driven and enjoys a challenge.\n\nYou’ll likely thrive here if you are:\n\n - Competitive by nature\n You enjoy performance environments and measuring yourself against clear goals.\n\n - Curious about how businesses work\n You like understanding industries, companies, and people.\n\n - Comfortable experimenting with AI tools\n You’re open to using new technology to improve how you work.\n\n - Self-directed\n You don’t need constant instructions — you take initiative and figure things out.\n\n - Resilient\n You expect rejection and keep moving forward anyway.\n\nPeople with competitive sports backgrounds often do especially well in this role because of the discipline, persistence, and performance mindset it requires.\n\n\n\n\nREQUIREMENTS\n\n - 6–18 months experience in a quota-carrying SDR or BDR role, ideally in SaaS\n\n - Strong written and verbal communication skills\n\n - Confidence engaging senior executives\n\n - Experience running multi-channel outreach (phone, email, LinkedIn)\n\n - Strong research skills and attention to detail\n\n - Authorization to work in the United States\n\n\nWHAT YOU’LL GET\n\n - Mentorship from experienced enterprise sellers\n You’ll work closely with AEs who have deep experience selling complex solutions.\n\n - Dedicated coaching and leadership support\n Regular feedback and guidance from your manager to help you improve quickly.\n\n - A modern sales environment\n We invest heavily in tools and AI that help our team operate at a high level.\n\n - Investment in your growth and development\n We care about building great sales professionals and will actively support your development.\n\n - Real impact\n The conversations you create directly contribute to the company’s growth.\n\n\nTHIS ROLE IS PROBABLY A GOOD FIT IF\n\n - You want to get really good at enterprise prospecting\n\n - You enjoy solving challenging outbound problems\n\n - You like experimenting with creative outreach\n\n - You want to work alongside experienced sellers and learn quickly\n\nIt’s probably not the right role if:\n\n - You prefer scripts and rigid playbooks\n\n - You’re uncomfortable with cold outreach\n\n - You want someone to tell you exactly what to do every day\n\nIf you’re competitive, curious, and excited about mastering enterprise outbound, we’d love to hear from you.\n\n\n\n\nOUR STORY\n\nOur 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.\n\n\n\nLILT 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.\n\n\n\nWith AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.\n\n\n\n\nOUR TECH\n\nWhat sets our platform apart:\n\n - Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent\n\n - Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing\n\n - 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation\n\n - Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review\n\n\n\nLILT IN THE NEWS\n\n - Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!\n\n - LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.\n\n - LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.\n\n - Check out all our news on our website https://lilt.com/news.\n\n\n\n\n\nInformation 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.\n\n\n\nAt 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 recruiting@lilt.com.\n\n\n\nLILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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."},{"id":"fe223d31-c49a-4a76-aa16-afd370586a85","title":"Senior Technical Program Manager, Applied AI","department":"Production","team":"Production","employmentType":"FullTime","location":"Sydney","secondaryLocations":[],"publishedAt":"2026-10-02T02:51:15.929+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"Australia","addressLocality":"Sydney"}},"jobUrl":"https://jobs.ashbyhq.com/lilt-corporate/fe223d31-c49a-4a76-aa16-afd370586a85","applyUrl":"https://jobs.ashbyhq.com/lilt-corporate/fe223d31-c49a-4a76-aa16-afd370586a85/application","descriptionHtml":"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:
As a Senior TPM of Applied AI, you will sit at the intersection of cutting-edge research and industrial-scale execution. You will operate with an entrepreneurial mindset, effectively acting as the CEO of your customer's business to proactively drive success. You are responsible for leading complex benchmark transformations and data deliverables. Rather than just managing timelines, you are architecting workflows to ensure the next generation of LLMs and multimodal models are trained on the most accurate, diverse, and complex data available, while championing innovative solutions alongside our research lab partners.
Entrepreneurial Benchmark Leadership: Act as the CEO of your customer’s business by proactively proposing and co-developing benchmark transcreations directly with research lab partners, ensuring our deliverables are innovative, tailored, and aligned with their core research objectives.
Frontier Lab Program Management: Lead the end-to-end execution of high-priority technical programs for frontier AI labs, managing the delivery of massive-scale datasets and bespoke engineering milestones.
High-Volume Data Operations: Architect and oversee pipelines for delivering high-volume data samples across multiple modalities (text, image, video, audio), ensuring strict adherence to delivery cadences without sacrificing precision.
End-to-End Quality Control: Partner with production to implement rigorous, automated, and human-in-the-loop QC frameworks to ensure data integrity across various domains and languages.
Cross-Functional Leadership: Bridge the gap between forward-deployed engineering resources, research, and production teams to ensure LILT can serve the needs of the frontier AI market.
Education: B.S or M.S. in Computer Science, AI, or a related technical field with 10+ years of industry experience. Equivalently, a Ph.D. with 5+ years of experience in a high-growth AI/Engineering environment.
Entrepreneurial Mindset: Experience founding or scaling a venture, or operating in an early-stage startup environment where you drove business growth and strategic initiatives from the ground up.
Strategic Execution: Strong business acumen and the ability to manage high-stakes stakeholder relationships with frontier AI labs.
Frontier AI Expertise: Proven track record of managing data pipelines for LLMs or multimodal models. Deep understanding of training, inference, and the nuances of data diversity (multilingual and multi-domain).
Scale & Quality: Demonstrated ability to manage \"high-throughput\" programs where quality control is mission-critical. You should have experience with automated validation at scale.
Fluency in multiple human languages.
Proficiency in Python and experience working with modern AI frameworks (PyTorch, LangChain, etc.).
What We Offer:
Competitive salary and benefits package.
Opportunity to work with cutting-edge AI technology in a rapidly growing industry.
A dynamic and collaborative work environment.
Significant opportunities for professional growth and development.
The chance to make a real impact on global communication and business.
This is a remote position based in Sydney, Australia.
Authorization to work in Australia is a precondition of employment.
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.
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 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 recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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.
","descriptionPlain":"ABOUT LILT\n\nAI is changing how the world communicates — and LILT is leading that transformation.\n\nWe'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.\n\n 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 https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/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.\n\n\n\nAbout the Role:\n\nAs a Senior TPM of Applied AI, you will sit at the intersection of cutting-edge research and industrial-scale execution. You will operate with an entrepreneurial mindset, effectively acting as the CEO of your customer's business to proactively drive success. You are responsible for leading complex benchmark transformations and data deliverables. Rather than just managing timelines, you are architecting workflows to ensure the next generation of LLMs and multimodal models are trained on the most accurate, diverse, and complex data available, while championing innovative solutions alongside our research lab partners.\n\n - Entrepreneurial Benchmark Leadership: Act as the CEO of your customer’s business by proactively proposing and co-developing benchmark transcreations directly with research lab partners, ensuring our deliverables are innovative, tailored, and aligned with their core research objectives.\n\n - Frontier Lab Program Management: Lead the end-to-end execution of high-priority technical programs for frontier AI labs, managing the delivery of massive-scale datasets and bespoke engineering milestones.\n\n - High-Volume Data Operations: Architect and oversee pipelines for delivering high-volume data samples across multiple modalities (text, image, video, audio), ensuring strict adherence to delivery cadences without sacrificing precision.\n\n - End-to-End Quality Control: Partner with production to implement rigorous, automated, and human-in-the-loop QC frameworks to ensure data integrity across various domains and languages.\n\n - Cross-Functional Leadership: Bridge the gap between forward-deployed engineering resources, research, and production teams to ensure LILT can serve the needs of the frontier AI market.\n\n\nQUALIFICATIONS\n\n - Education: B.S or M.S. in Computer Science, AI, or a related technical field with 10+ years of industry experience. Equivalently, a Ph.D. with 5+ years of experience in a high-growth AI/Engineering environment.\n\n - Entrepreneurial Mindset: Experience founding or scaling a venture, or operating in an early-stage startup environment where you drove business growth and strategic initiatives from the ground up.\n\n - Strategic Execution: Strong business acumen and the ability to manage high-stakes stakeholder relationships with frontier AI labs.\n\n - Frontier AI Expertise: Proven track record of managing data pipelines for LLMs or multimodal models. Deep understanding of training, inference, and the nuances of data diversity (multilingual and multi-domain).\n\n - Scale & Quality: Demonstrated ability to manage \"high-throughput\" programs where quality control is mission-critical. You should have experience with automated validation at scale.\n\n\nPREFERRED SKILLS\n\n - Fluency in multiple human languages.\n\n - Proficiency in Python and experience working with modern AI frameworks (PyTorch, LangChain, etc.).\n\nWhat We Offer:\n\n - Competitive salary and benefits package.\n\n - Opportunity to work with cutting-edge AI technology in a rapidly growing industry.\n\n - A dynamic and collaborative work environment.\n\n - Significant opportunities for professional growth and development.\n\n - The chance to make a real impact on global communication and business.\n\n\n\n\nWHERE YOU’LL WORK\n\nThis is a remote position based in Sydney, Australia.\n\nAuthorization to work in Australia is a precondition of employment.\n\n\n\n\nOUR STORY\n\nOur 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.\n\n\n\nLILT 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.\n\n\n\nWith AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.\n\n\n\n\nOUR TECH\n\nWhat sets our platform apart:\n\n - Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent\n\n - Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing\n\n - 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation\n\n - Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review\n\n\n\nLILT IN THE NEWS\n\n - Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!\n\n - LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.\n\n - LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.\n\n - Check out all our news on our website https://lilt.com/news.\n\n\n\n\n\nInformation 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.\n\n\n\nAt 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 recruiting@lilt.com.\n\n\n\nLILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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."},{"id":"be92583f-899a-4e49-b5e0-6cdc5a7e1169","title":"Senior Full Stack Engineer","department":"Engineering","team":"Create","employmentType":"FullTime","location":"Washington D.C.","secondaryLocations":[{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"Massachusetts","addressCountry":"USA","addressLocality":"Boston"}}},{"location":"Indianapolis, IN","address":{"postalAddress":{"addressRegion":"Indiana","addressCountry":"USA","addressLocality":"Indianapolis"}}}],"publishedAt":"2026-10-02T16:30:49.628+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"District of Columbia","addressCountry":"USA","addressLocality":"Washington D.C."}},"jobUrl":"https://jobs.ashbyhq.com/lilt-corporate/be92583f-899a-4e49-b5e0-6cdc5a7e1169","applyUrl":"https://jobs.ashbyhq.com/lilt-corporate/be92583f-899a-4e49-b5e0-6cdc5a7e1169/application","descriptionHtml":"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.
Lilt's Converse product delivers real-time, multi-party translation for high-stakes conversations — from offline, device-based deployments in the field to live meetings on enterprise collaboration platforms. We're expanding Converse to support any number of participants, speaking any combination of languages, joining from a growing set of form factors — with live translation delivered N-way, directly on the meeting stage, and cleared interpreters reviewing only the segments that need a human eye. Every deployment has a different topology — device count, platform, network conditions, and language mix — and making a single translation architecture work reliably across that diversity is a real engineering challenge. You will help own this expansion end-to-end: architecture, product roadmap, and the hands-on engineering that gets a brand-new real-time product surface to GA. This is a high-impact, ground-floor role on a new product line within a company whose existing products serve some of the world's largest global brands.
As the senior engineer on the Create team driving this Converse expansion, you will drive technical strategy for both the backend translation service and the customer-facing surfaces built on top of it, while working directly with Product, Design, and early design partners — architecting the low-latency streaming pipeline, building the live meeting experience and interpreter workbench, and turning ambiguous 0-to-1 requirements into a scoped plan you commit to and ship. You will partner with the engineers already building Converse's device/mobile experience to extend a shared translation-service architecture into new platforms and form factors, help define engineering standards as the Create team grows, and make the calls that determine whether this expansion scales cleanly from a prototype into a production product used in live, multilingual meetings.
Location & eligibility: This position requires US citizenship and residence in the United States. Preferred locations are Washington, D.C.; Boston, MA; and Indianapolis, IN.
Own architecture and technical roadmap for this Converse expansion, spanning the central real-time translation service and the customer-facing surfaces built on it (live meeting UI, interpreter workbench)
Architect and build the low-latency, N-way translation pipeline: per-participant audio ingestion, diarization, streaming ASR, MT orchestration, and result fan-out to every language in the meeting
Build the live meeting experience — bot/agent participant, meeting side panel, and on-stage caption surfaces — integrating with the host meeting platform's SDK, extension framework, and APIs
Build the interpreter workbench: a real-time, streaming adaptation of Lilt's CAT tool with a live segment queue, low-confidence flagging, TM/TB matches, AI-Review/AI-QA signals, and submit-to-broadcast corrections
Design the event-driven correction and broadcast system — routing flagged segments to the correct on-call interpreter by language, pausing the affected translation, and isolating each correction to a single language
Partner with Product and Design to turn PRD requirements (JTBD, feature specs) into technical designs, and commit to and hit delivery dates on a brand-new product surface
Collaborate with the engineers already building Converse's device/mobile experience to extend a shared translation-service architecture (per-participant declared spoken/received languages) into new multi-device and platform form factors
Establish testing, CI/CD, and release practices (GitHub Actions, automated e2e tests) for the new product line
Help recruit, mentor, and set engineering standards as headcount scales on this initiative
5+ years of professional full-stack software engineering experience, with a track record of owning complex, real-time or streaming systems end-to-end — architecture, implementation, deployment, and production reliability
Strong backend experience spanning REST API endpoints and real-time/streaming systems: WebSockets, gRPC, or comparable low-latency transport; event-driven architectures; message routing and state management across many concurrent sessions
Strong frontend experience building complex, stateful, real-time UIs in React/TypeScript — live-updating multi-pane interfaces, collaborative editors, or comparable dashboards
Experience integrating with third-party platform SDKs or extension frameworks (Slack, Zoom, or similar meeting/collaboration platforms) — bots, side panels, webhooks, and platform APIs
Comfort working with or directly adjacent to ASR/MT/NLP pipelines, or other latency-sensitive ML-in-the-loop systems
Demonstrated ability to scope ambiguous, 0-to-1 product requirements into a technical plan and commit to and hit delivery dates
Experience building validation and guard logic that gracefully handles edge cases across diverse customer configurations — languages, device counts, network conditions
US citizenship and residence in the United States
Experience with speech/audio pipelines: diarization, streaming speech recognition, or audio stream multiplexing
Prior experience building CAT tools, translation memory/termbase systems, or other linguist-facing review interfaces
Familiarity with localization/TMS workflows: XLIFF, Translation Memory, MT vs. human translation pipelines
Experience with cross-platform, embedded, or mobile-adjacent architectures, and adapting shared services across device and web form factors
Experience shipping in regulated or high-security customer environments
Hands-on Microsoft Teams app or bot development specifically (Teams Toolkit, Bot Framework, Azure Communication Services, Microsoft Graph)
Experience mentoring engineers and setting technical standards for a new product line
Familiarity with post-meeting asset generation: transcript export formats (TXT/WebVTT/JSON), recording citations, and summarization
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.
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 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 recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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.
","descriptionPlain":"ABOUT LILT\n\nAI is changing how the world communicates — and LILT is leading that transformation.\n\nWe'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.\n\n 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 https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/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.\n\n\n\nLilt's Converse product delivers real-time, multi-party translation for high-stakes conversations — from offline, device-based deployments in the field to live meetings on enterprise collaboration platforms. We're expanding Converse to support any number of participants, speaking any combination of languages, joining from a growing set of form factors — with live translation delivered N-way, directly on the meeting stage, and cleared interpreters reviewing only the segments that need a human eye. Every deployment has a different topology — device count, platform, network conditions, and language mix — and making a single translation architecture work reliably across that diversity is a real engineering challenge. You will help own this expansion end-to-end: architecture, product roadmap, and the hands-on engineering that gets a brand-new real-time product surface to GA. This is a high-impact, ground-floor role on a new product line within a company whose existing products serve some of the world's largest global brands.\n\nAs the senior engineer on the Create team driving this Converse expansion, you will drive technical strategy for both the backend translation service and the customer-facing surfaces built on top of it, while working directly with Product, Design, and early design partners — architecting the low-latency streaming pipeline, building the live meeting experience and interpreter workbench, and turning ambiguous 0-to-1 requirements into a scoped plan you commit to and ship. You will partner with the engineers already building Converse's device/mobile experience to extend a shared translation-service architecture into new platforms and form factors, help define engineering standards as the Create team grows, and make the calls that determine whether this expansion scales cleanly from a prototype into a production product used in live, multilingual meetings.\n\nLocation & eligibility: This position requires US citizenship and residence in the United States. Preferred locations are Washington, D.C.; Boston, MA; and Indianapolis, IN.\n\n\nWHAT YOU'LL DO\n\n - Own architecture and technical roadmap for this Converse expansion, spanning the central real-time translation service and the customer-facing surfaces built on it (live meeting UI, interpreter workbench)\n\n - Architect and build the low-latency, N-way translation pipeline: per-participant audio ingestion, diarization, streaming ASR, MT orchestration, and result fan-out to every language in the meeting\n\n - Build the live meeting experience — bot/agent participant, meeting side panel, and on-stage caption surfaces — integrating with the host meeting platform's SDK, extension framework, and APIs\n\n - Build the interpreter workbench: a real-time, streaming adaptation of Lilt's CAT tool with a live segment queue, low-confidence flagging, TM/TB matches, AI-Review/AI-QA signals, and submit-to-broadcast corrections\n\n - Design the event-driven correction and broadcast system — routing flagged segments to the correct on-call interpreter by language, pausing the affected translation, and isolating each correction to a single language\n\n - Partner with Product and Design to turn PRD requirements (JTBD, feature specs) into technical designs, and commit to and hit delivery dates on a brand-new product surface\n\n - Collaborate with the engineers already building Converse's device/mobile experience to extend a shared translation-service architecture (per-participant declared spoken/received languages) into new multi-device and platform form factors\n\n - Establish testing, CI/CD, and release practices (GitHub Actions, automated e2e tests) for the new product line\n\n - Help recruit, mentor, and set engineering standards as headcount scales on this initiative\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED\n\n - 5+ years of professional full-stack software engineering experience, with a track record of owning complex, real-time or streaming systems end-to-end — architecture, implementation, deployment, and production reliability\n\n - Strong backend experience spanning REST API endpoints and real-time/streaming systems: WebSockets, gRPC, or comparable low-latency transport; event-driven architectures; message routing and state management across many concurrent sessions\n\n - Strong frontend experience building complex, stateful, real-time UIs in React/TypeScript — live-updating multi-pane interfaces, collaborative editors, or comparable dashboards\n\n - Experience integrating with third-party platform SDKs or extension frameworks (Slack, Zoom, or similar meeting/collaboration platforms) — bots, side panels, webhooks, and platform APIs\n\n - Comfort working with or directly adjacent to ASR/MT/NLP pipelines, or other latency-sensitive ML-in-the-loop systems\n\n - Demonstrated ability to scope ambiguous, 0-to-1 product requirements into a technical plan and commit to and hit delivery dates\n\n - Experience building validation and guard logic that gracefully handles edge cases across diverse customer configurations — languages, device counts, network conditions\n\n - US citizenship and residence in the United States\n\n\nSTRONG PLUS\n\n - Experience with speech/audio pipelines: diarization, streaming speech recognition, or audio stream multiplexing\n\n - Prior experience building CAT tools, translation memory/termbase systems, or other linguist-facing review interfaces\n\n - Familiarity with localization/TMS workflows: XLIFF, Translation Memory, MT vs. human translation pipelines\n\n - Experience with cross-platform, embedded, or mobile-adjacent architectures, and adapting shared services across device and web form factors\n\n - Experience shipping in regulated or high-security customer environments\n\n\nBONUS\n\n - Hands-on Microsoft Teams app or bot development specifically (Teams Toolkit, Bot Framework, Azure Communication Services, Microsoft Graph)\n\n - Experience mentoring engineers and setting technical standards for a new product line\n\n - Familiarity with post-meeting asset generation: transcript export formats (TXT/WebVTT/JSON), recording citations, and summarization\n\n\n\n\nOUR STORY\n\nOur 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.\n\n\n\nLILT 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.\n\n\n\nWith AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.\n\n\n\n\nOUR TECH\n\nWhat sets our platform apart:\n\n - Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent\n\n - Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing\n\n - 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation\n\n - Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review\n\n\n\nLILT IN THE NEWS\n\n - Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!\n\n - LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.\n\n - LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.\n\n - Check out all our news on our website https://lilt.com/news.\n\n\n\n\n\nInformation 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.\n\n\n\nAt 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 recruiting@lilt.com.\n\n\n\nLILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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."},{"id":"179ef1bd-3deb-49a6-ba8f-6426540cb2e1","title":"Forward Deployed Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"London, UK","secondaryLocations":[],"publishedAt":"2026-07-29T20:56:50.885+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"London","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/lilt-corporate/179ef1bd-3deb-49a6-ba8f-6426540cb2e1","applyUrl":"https://jobs.ashbyhq.com/lilt-corporate/179ef1bd-3deb-49a6-ba8f-6426540cb2e1/application","descriptionHtml":"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:
As a Forward Deployed Engineer at LILT, you will be a critical link between our core engineering teams and our most complex and strategic customers. You'll be on the front lines, working directly with a handful of complex clients to understand their unique needs, integrate LILT's platform into their existing workflows, troubleshoot technical challenges, and provide expert guidance. This role requires a strong technical foundation, business acumen, excellent communication and problem-solving skills, and a passion for customer success. You will thrive in a dynamic environment, embracing the opportunity to travel and work collaboratively with diverse teams.
Responsibilities:
Technical Onboarding and Integration: Lead the technical aspects of onboarding new enterprise clients, including system integration, API configuration, and workflow optimization.
Solution Design and Implementation: Collaborate with Sales, Solutions Architects, and Product teams to design and implement customized LILT solutions that meet specific client requirements, driving their business outcomes.
On-Site Engineering: Ability to gather requirements, propose a product solution, and implement it via code on-site with customers.
On-site Support and Training: Provide on-site technical support and training to client teams, ensuring successful adoption and utilization of the LILT platform.
Troubleshooting and Issue Resolution: Serve as the primary technical point of contact for escalated client issues, diagnosing problems, implementing solutions, and ensuring timely resolution.
Technical Consultation and Best Practices: Provide expert technical consultation and guidance to clients on how to best leverage LILT's features and capabilities within their environment, focused on addressing complex, enterprise workflows.
Feedback Loop: Act as a crucial feedback channel, relaying client needs, technical challenges, and product improvement suggestions back to the core Engineering and Product teams.
Documentation and Knowledge Sharing: Create and maintain comprehensive technical documentation, including integration guides, best practices, and troubleshooting steps. Contribute to internal knowledge sharing initiatives.
Travel: Be willing and able to travel frequently (up to 25-35%) to client sites globally.
Qualifications:
Bachelor's degree in Computer Science, Engineering, or a related technical field.
5+ years of experience in a customer-facing technical role such as Solutions Engineer, Sales Engineer, Technical Consultant, or Support Engineer.
Strong AI knowledge including an:
Understanding of how LLMs are trained and how inference works
Understanding of batch learning, on-line learning and context windows and how
to use them to improve customer value
Understanding of the trade-offs of inference speed, learnings, model sizes and costs
Current knowledge of best-in-class AI tools for a variety of workflows including adoption processes and requirements
Understanding or demonstrated experiencing using MCP to build agentic workflows
Strong business acumen and the ability to leverage this skillset to focus customers on accomplishing business outcomes aligned to their growth and efficiency objectives.
Strong understanding of software integration principles and experience working with APIs (RESTful, SOAP).
Proficiency in at least one programming or scripting language (e.g., Python, JavaScript).
Experience with enterprise software deployments and integrations.
Excellent problem-solving and analytical skills, with the ability to diagnose and resolve complex technical issues.
Exceptional communication, presentation, and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical audiences.
Strong customer-centric mindset with a passion for ensuring client success.
Ability to work independently and manage multiple priorities in a fast-paced environment.
Experience with translation management systems (TMS) or localization workflows is a plus.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
Fluency in multiple languages is a plus.
What We Offer:
Competitive salary and benefits package.
Opportunity to work with cutting-edge AI technology in a rapidly growing industry.
A dynamic and collaborative work environment.
Significant opportunities for professional growth and development.
The chance to make a real impact on global communication and business.
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.
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 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 recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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.
","descriptionPlain":"ABOUT LILT\n\nAI is changing how the world communicates — and LILT is leading that transformation.\n\nWe'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.\n\n 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 https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/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.\n\n\n\nAbout the Role:\n\nAs a Forward Deployed Engineer at LILT, you will be a critical link between our core engineering teams and our most complex and strategic customers. You'll be on the front lines, working directly with a handful of complex clients to understand their unique needs, integrate LILT's platform into their existing workflows, troubleshoot technical challenges, and provide expert guidance. This role requires a strong technical foundation, business acumen, excellent communication and problem-solving skills, and a passion for customer success. You will thrive in a dynamic environment, embracing the opportunity to travel and work collaboratively with diverse teams.\n\n\n\nResponsibilities:\n\n - Technical Onboarding and Integration: Lead the technical aspects of onboarding new enterprise clients, including system integration, API configuration, and workflow optimization.\n\n - Solution Design and Implementation: Collaborate with Sales, Solutions Architects, and Product teams to design and implement customized LILT solutions that meet specific client requirements, driving their business outcomes.\n\n - On-Site Engineering: Ability to gather requirements, propose a product solution, and implement it via code on-site with customers.\n\n - On-site Support and Training: Provide on-site technical support and training to client teams, ensuring successful adoption and utilization of the LILT platform.\n\n - Troubleshooting and Issue Resolution: Serve as the primary technical point of contact for escalated client issues, diagnosing problems, implementing solutions, and ensuring timely resolution.\n\n - Technical Consultation and Best Practices: Provide expert technical consultation and guidance to clients on how to best leverage LILT's features and capabilities within their environment, focused on addressing complex, enterprise workflows.\n\n - Feedback Loop: Act as a crucial feedback channel, relaying client needs, technical challenges, and product improvement suggestions back to the core Engineering and Product teams.\n\n - Documentation and Knowledge Sharing: Create and maintain comprehensive technical documentation, including integration guides, best practices, and troubleshooting steps. Contribute to internal knowledge sharing initiatives.\n\n - Travel: Be willing and able to travel frequently (up to 25-35%) to client sites globally.\n\n\n\nQualifications:\n\n - Bachelor's degree in Computer Science, Engineering, or a related technical field.\n\n - 5+ years of experience in a customer-facing technical role such as Solutions Engineer, Sales Engineer, Technical Consultant, or Support Engineer.\n\n - Strong AI knowledge including an:\n\n - Understanding of how LLMs are trained and how inference works\n\n - Understanding of batch learning, on-line learning and context windows and how\n \n to use them to improve customer value\n\n - Understanding of the trade-offs of inference speed, learnings, model sizes and costs\n\n - Current knowledge of best-in-class AI tools for a variety of workflows including adoption processes and requirements\n\n - Understanding or demonstrated experiencing using MCP to build agentic workflows\n\n - Strong business acumen and the ability to leverage this skillset to focus customers on accomplishing business outcomes aligned to their growth and efficiency objectives.\n\n - Strong understanding of software integration principles and experience working with APIs (RESTful, SOAP).\n\n - Proficiency in at least one programming or scripting language (e.g., Python, JavaScript).\n\n - Experience with enterprise software deployments and integrations.\n\n - Excellent problem-solving and analytical skills, with the ability to diagnose and resolve complex technical issues.\n\n - Exceptional communication, presentation, and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical audiences.\n\n - Strong customer-centric mindset with a passion for ensuring client success.\n\n - Ability to work independently and manage multiple priorities in a fast-paced environment.\n\n - Experience with translation management systems (TMS) or localization workflows is a plus.\n\n - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.\n\n - Fluency in multiple languages is a plus.\n\n\n\nWhat We Offer:\n\n - Competitive salary and benefits package.\n\n - Opportunity to work with cutting-edge AI technology in a rapidly growing industry.\n\n - A dynamic and collaborative work environment.\n\n - Significant opportunities for professional growth and development.\n\n - The chance to make a real impact on global communication and business.\n\n\n\n\n\n\nOUR STORY\n\nOur 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.\n\n\n\nLILT 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.\n\n\n\nWith AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.\n\n\n\n\nOUR TECH\n\nWhat sets our platform apart:\n\n - Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent\n\n - Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing\n\n - 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation\n\n - Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review\n\n\n\nLILT IN THE NEWS\n\n - Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!\n\n - LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.\n\n - LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.\n\n - Check out all our news on our website https://lilt.com/news.\n\n\n\n\n\nInformation 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.\n\n\n\nAt 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 recruiting@lilt.com.\n\n\n\nLILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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."},{"id":"719beb00-4cc5-414b-b3a7-853eaf397b07","title":"Senior Technical Program Manager, Applied AI","department":"Production","team":"Production","employmentType":"FullTime","location":"London, UK","secondaryLocations":[{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"Massachusetts","addressCountry":"USA","addressLocality":"Boston"}}},{"location":"Berlin, Germany","address":{"postalAddress":{"addressCountry":"Germany","addressLocality":"Berlin"}}}],"publishedAt":"2026-09-04T16:03:14.450+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"London","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/lilt-corporate/719beb00-4cc5-414b-b3a7-853eaf397b07","applyUrl":"https://jobs.ashbyhq.com/lilt-corporate/719beb00-4cc5-414b-b3a7-853eaf397b07/application","descriptionHtml":"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:
As a Senior TPM of Applied AI, you will sit at the intersection of cutting-edge research and industrial-scale execution. You will operate with an entrepreneurial mindset, effectively acting as the CEO of your customer's business to proactively drive success. You are responsible for leading complex benchmark transformations and data deliverables. Rather than just managing timelines, you are architecting workflows to ensure the next generation of LLMs and multimodal models are trained on the most accurate, diverse, and complex data available, while championing innovative solutions alongside our research lab partners.
Entrepreneurial Benchmark Leadership: Act as the CEO of your customer’s business by proactively proposing and co-developing benchmark transcreations directly with research lab partners, ensuring our deliverables are innovative, tailored, and aligned with their core research objectives.
Frontier Lab Program Management: Lead the end-to-end execution of high-priority technical programs for frontier AI labs, managing the delivery of massive-scale datasets and bespoke engineering milestones.
High-Volume Data Operations: Architect and oversee pipelines for delivering high-volume data samples across multiple modalities (text, image, video, audio), ensuring strict adherence to delivery cadences without sacrificing precision.
End-to-End Quality Control: Partner with production to implement rigorous, automated, and human-in-the-loop QC frameworks to ensure data integrity across various domains and languages.
Cross-Functional Leadership: Bridge the gap between forward-deployed engineering resources, research, and production teams to ensure LILT can serve the needs of the frontier AI market.
Education: B.S or M.S. in Computer Science, AI, or a related technical field with 10+ years of industry experience. Equivalently, a Ph.D. with 5+ years of experience in a high-growth AI/Engineering environment.
Entrepreneurial Mindset: Experience founding or scaling a venture, or operating in an early-stage startup environment where you drove business growth and strategic initiatives from the ground up.
Strategic Execution: Strong business acumen and the ability to manage high-stakes stakeholder relationships with frontier AI labs.
Frontier AI Expertise: Proven track record of managing data pipelines for LLMs or multimodal models. Deep understanding of training, inference, and the nuances of data diversity (multilingual and multi-domain).
Scale & Quality: Demonstrated ability to manage \"high-throughput\" programs where quality control is mission-critical. You should have experience with automated validation at scale.
Fluency in multiple human languages.
Proficiency in Python and experience working with modern AI frameworks (PyTorch, LangChain, etc.).
What We Offer:
Competitive salary and benefits package.
Opportunity to work with cutting-edge AI technology in a rapidly growing industry.
A dynamic and collaborative work environment.
Significant opportunities for professional growth and development.
The chance to make a real impact on global communication and business.
This position is based in our London, UK office and will be expected to work in the office in a hybrid capacity. Boston and Indianapolis are also acceptable locations. LILT is hybrid with hubs in SF, NY, Indianapolis, Boston, London, and Berlin.
Authorization to work in the U.S. is a precondition of employment.
London, UK (highly preferred)
Others: Berlin, Boston, New York, Indianapolis
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.
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 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 recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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.
","descriptionPlain":"ABOUT LILT\n\nAI is changing how the world communicates — and LILT is leading that transformation.\n\nWe'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.\n\n 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 https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/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.\n\n\n\nAbout the Role:\n\nAs a Senior TPM of Applied AI, you will sit at the intersection of cutting-edge research and industrial-scale execution. You will operate with an entrepreneurial mindset, effectively acting as the CEO of your customer's business to proactively drive success. You are responsible for leading complex benchmark transformations and data deliverables. Rather than just managing timelines, you are architecting workflows to ensure the next generation of LLMs and multimodal models are trained on the most accurate, diverse, and complex data available, while championing innovative solutions alongside our research lab partners.\n\n - Entrepreneurial Benchmark Leadership: Act as the CEO of your customer’s business by proactively proposing and co-developing benchmark transcreations directly with research lab partners, ensuring our deliverables are innovative, tailored, and aligned with their core research objectives.\n\n - Frontier Lab Program Management: Lead the end-to-end execution of high-priority technical programs for frontier AI labs, managing the delivery of massive-scale datasets and bespoke engineering milestones.\n\n - High-Volume Data Operations: Architect and oversee pipelines for delivering high-volume data samples across multiple modalities (text, image, video, audio), ensuring strict adherence to delivery cadences without sacrificing precision.\n\n - End-to-End Quality Control: Partner with production to implement rigorous, automated, and human-in-the-loop QC frameworks to ensure data integrity across various domains and languages.\n\n - Cross-Functional Leadership: Bridge the gap between forward-deployed engineering resources, research, and production teams to ensure LILT can serve the needs of the frontier AI market.\n\n\nQUALIFICATIONS\n\n - Education: B.S or M.S. in Computer Science, AI, or a related technical field with 10+ years of industry experience. Equivalently, a Ph.D. with 5+ years of experience in a high-growth AI/Engineering environment.\n\n - Entrepreneurial Mindset: Experience founding or scaling a venture, or operating in an early-stage startup environment where you drove business growth and strategic initiatives from the ground up.\n\n - Strategic Execution: Strong business acumen and the ability to manage high-stakes stakeholder relationships with frontier AI labs.\n\n - Frontier AI Expertise: Proven track record of managing data pipelines for LLMs or multimodal models. Deep understanding of training, inference, and the nuances of data diversity (multilingual and multi-domain).\n\n - Scale & Quality: Demonstrated ability to manage \"high-throughput\" programs where quality control is mission-critical. You should have experience with automated validation at scale.\n\n\nPREFERRED SKILLS\n\n - Fluency in multiple human languages.\n\n - Proficiency in Python and experience working with modern AI frameworks (PyTorch, LangChain, etc.).\n\nWhat We Offer:\n\n - Competitive salary and benefits package.\n\n - Opportunity to work with cutting-edge AI technology in a rapidly growing industry.\n\n - A dynamic and collaborative work environment.\n\n - Significant opportunities for professional growth and development.\n\n - The chance to make a real impact on global communication and business.\n\n\n\n\nWHERE YOU’LL WORK\n\nThis position is based in our London, UK office and will be expected to work in the office in a hybrid capacity. Boston and Indianapolis are also acceptable locations. LILT is hybrid with hubs in SF, NY, Indianapolis, Boston, London, and Berlin.\n\n \n\nAuthorization to work in the U.S. is a precondition of employment.\n\n - London, UK (highly preferred)\n\n - Others: Berlin, Boston, New York, Indianapolis\n\n\n\n\nOUR STORY\n\nOur 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.\n\n\n\nLILT 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.\n\n\n\nWith AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.\n\n\n\n\nOUR TECH\n\nWhat sets our platform apart:\n\n - Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent\n\n - Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing\n\n - 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation\n\n - Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review\n\n\n\nLILT IN THE NEWS\n\n - Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!\n\n - LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.\n\n - LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.\n\n - Check out all our news on our website https://lilt.com/news.\n\n\n\n\n\nInformation 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.\n\n\n\nAt 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 recruiting@lilt.com.\n\n\n\nLILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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."},{"id":"cba620d3-a2dd-40f9-9e3b-239465162505","title":"Backend Engineer","department":"Engineering","team":"Create","employmentType":"FullTime","location":"Washington D.C.","secondaryLocations":[{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"Massachusetts","addressCountry":"USA","addressLocality":"Boston"}}},{"location":"Indianapolis, IN","address":{"postalAddress":{"addressRegion":"Indiana","addressCountry":"USA","addressLocality":"Indianapolis"}}}],"publishedAt":"2026-10-02T16:25:50.073+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"District of Columbia","addressCountry":"USA","addressLocality":"Washington D.C."}},"jobUrl":"https://jobs.ashbyhq.com/lilt-corporate/cba620d3-a2dd-40f9-9e3b-239465162505","applyUrl":"https://jobs.ashbyhq.com/lilt-corporate/cba620d3-a2dd-40f9-9e3b-239465162505/application","descriptionHtml":"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.
Lilt's Converse product delivers real-time, multi-party translation for high-stakes conversations — from offline, device-based deployments in the field to live meetings on enterprise collaboration platforms. We're expanding Converse to support any number of participants, speaking any combination of languages, joining from a growing set of form factors — with live translation delivered N-way, directly on the meeting stage, and cleared interpreters reviewing only the segments that need a human eye. You will build and operate the backend services that make this work: per-participant audio ingestion, real-time diarization and translation orchestration, and the routing logic that gets a flagged segment in front of the right interpreter and broadcasts their correction back out in real time. This is a ground-floor opportunity to help build a brand-new product surface, on a team whose existing products serve some of the world's largest global brands.
As a Backend Engineer on the Create team, you'll work closely with senior engineers and Product to build the services powering this Converse expansion — the real-time translation pipeline and the meeting-platform integration — taking well-scoped services and features from design through production with support and code review from more senior teammates. You'll help define clean API contracts with the frontend/interpreter-workbench engineers, contribute to the event-driven correction and broadcast system, and grow into owning larger pieces of the backend architecture as the product and team scale.
Location & eligibility: This position requires US citizenship and residence in the United States. Preferred locations are Washington, D.C.; Boston, MA; and Indianapolis, IN.
Build and maintain backend services for the real-time translation pipeline: audio ingestion, diarization hookups, streaming ASR/MT orchestration, and result fan-out to every configured meeting language
Implement the event-driven routing logic that flags low-confidence segments and routes them to the correct on-call interpreter by language
Build APIs and services backing the bot/agent participant and meeting side panel that deliver translation into the host meeting platform, with guidance from senior engineers
Contribute to the interpreter correction and broadcast system — ensuring corrections are isolated to the correct language and broadcast to all participants in real time
Write and maintain automated tests (unit, integration, e2e) and contribute to CI/CD pipelines (GitHub Actions) for new backend services
Instrument services for observability — logging, metrics, tracing — to support debugging of latency-sensitive, multi-party sessions
Partner with frontend/fullstack engineers on the Create team to define clean API contracts between backend services and the live meeting UI and interpreter workbench
Participate in on-call rotation and help triage production issues as the product moves toward GA
Help generate post-meeting assets: diarized transcripts, exportable formats (TXT/WebVTT/JSON), and per-line verification metadata
2–5 years of professional backend software engineering experience, ideally including production systems that handle real-time or streaming data
Experience building REST API endpoints as well as streaming services with WebSockets, gRPC, message queues, or comparable low-latency/event-driven patterns
Solid experience with Node.js/TypeScript, Java, Python, or a comparable backend language/ecosystem, and the ability to work across more than one when needed
Experience building and consuming REST/GraphQL APIs, including authentication patterns (OAuth, API keys/tokens, service accounts)
Comfort with relational/NoSQL data modeling for session state, transcripts, and configuration data
Solid grasp of testing and delivery practices: CI/CD and automated integration/e2e tests
Ability to take a well-scoped ticket or spec and ship it with minimal oversight, while communicating blockers and timeline risk early
US citizenship and residence in the United States
Experience with speech/audio pipelines: diarization, streaming ASR, or audio stream handling
Experience integrating with third-party platform APIs, SDKs, or webhooks (Slack, Zoom, or similar collaboration platforms)
Familiarity with localization/TMS workflows: XLIFF, Translation Memory, MT vs. human translation pipelines
Experience with event-driven/pub-sub architectures (Kafka, Pub/Sub, or similar)
Enough frontend/React exposure to reason about API contracts with a real-time, stateful UI
Hands-on Microsoft Teams app or bot development specifically (Teams Toolkit, Bot Framework, Azure Communication Services, Microsoft Graph)
Experience working on 0-to-1 products within a larger, established company
Interest or coursework in NLP/ML systems
Experience with observability tooling (e.g., Datadog) in production, latency-sensitive systems
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.
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 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 recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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.
","descriptionPlain":"ABOUT LILT\n\nAI is changing how the world communicates — and LILT is leading that transformation.\n\nWe'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.\n\n 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 https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/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.\n\n\n\nLilt's Converse product delivers real-time, multi-party translation for high-stakes conversations — from offline, device-based deployments in the field to live meetings on enterprise collaboration platforms. We're expanding Converse to support any number of participants, speaking any combination of languages, joining from a growing set of form factors — with live translation delivered N-way, directly on the meeting stage, and cleared interpreters reviewing only the segments that need a human eye. You will build and operate the backend services that make this work: per-participant audio ingestion, real-time diarization and translation orchestration, and the routing logic that gets a flagged segment in front of the right interpreter and broadcasts their correction back out in real time. This is a ground-floor opportunity to help build a brand-new product surface, on a team whose existing products serve some of the world's largest global brands.\n\nAs a Backend Engineer on the Create team, you'll work closely with senior engineers and Product to build the services powering this Converse expansion — the real-time translation pipeline and the meeting-platform integration — taking well-scoped services and features from design through production with support and code review from more senior teammates. You'll help define clean API contracts with the frontend/interpreter-workbench engineers, contribute to the event-driven correction and broadcast system, and grow into owning larger pieces of the backend architecture as the product and team scale.\n\nLocation & eligibility: This position requires US citizenship and residence in the United States. Preferred locations are Washington, D.C.; Boston, MA; and Indianapolis, IN.\n\n\nWHAT YOU'LL DO\n\n - Build and maintain backend services for the real-time translation pipeline: audio ingestion, diarization hookups, streaming ASR/MT orchestration, and result fan-out to every configured meeting language\n\n - Implement the event-driven routing logic that flags low-confidence segments and routes them to the correct on-call interpreter by language\n\n - Build APIs and services backing the bot/agent participant and meeting side panel that deliver translation into the host meeting platform, with guidance from senior engineers\n\n - Contribute to the interpreter correction and broadcast system — ensuring corrections are isolated to the correct language and broadcast to all participants in real time\n\n - Write and maintain automated tests (unit, integration, e2e) and contribute to CI/CD pipelines (GitHub Actions) for new backend services\n\n - Instrument services for observability — logging, metrics, tracing — to support debugging of latency-sensitive, multi-party sessions\n\n - Partner with frontend/fullstack engineers on the Create team to define clean API contracts between backend services and the live meeting UI and interpreter workbench\n\n - Participate in on-call rotation and help triage production issues as the product moves toward GA\n\n - Help generate post-meeting assets: diarized transcripts, exportable formats (TXT/WebVTT/JSON), and per-line verification metadata\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED\n\n - 2–5 years of professional backend software engineering experience, ideally including production systems that handle real-time or streaming data\n\n - Experience building REST API endpoints as well as streaming services with WebSockets, gRPC, message queues, or comparable low-latency/event-driven patterns\n\n - Solid experience with Node.js/TypeScript, Java, Python, or a comparable backend language/ecosystem, and the ability to work across more than one when needed\n\n - Experience building and consuming REST/GraphQL APIs, including authentication patterns (OAuth, API keys/tokens, service accounts)\n\n - Comfort with relational/NoSQL data modeling for session state, transcripts, and configuration data\n\n - Solid grasp of testing and delivery practices: CI/CD and automated integration/e2e tests\n\n - Ability to take a well-scoped ticket or spec and ship it with minimal oversight, while communicating blockers and timeline risk early\n\n - US citizenship and residence in the United States\n\n\nSTRONG PLUS\n\n - Experience with speech/audio pipelines: diarization, streaming ASR, or audio stream handling\n\n - Experience integrating with third-party platform APIs, SDKs, or webhooks (Slack, Zoom, or similar collaboration platforms)\n\n - Familiarity with localization/TMS workflows: XLIFF, Translation Memory, MT vs. human translation pipelines\n\n - Experience with event-driven/pub-sub architectures (Kafka, Pub/Sub, or similar)\n\n - Enough frontend/React exposure to reason about API contracts with a real-time, stateful UI\n\n\nBONUS\n\n - Hands-on Microsoft Teams app or bot development specifically (Teams Toolkit, Bot Framework, Azure Communication Services, Microsoft Graph)\n\n - Experience working on 0-to-1 products within a larger, established company\n\n - Interest or coursework in NLP/ML systems\n\n - Experience with observability tooling (e.g., Datadog) in production, latency-sensitive systems\n\n\n\n\nOUR STORY\n\nOur 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.\n\n\n\nLILT 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.\n\n\n\nWith AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.\n\n\n\n\nOUR TECH\n\nWhat sets our platform apart:\n\n - Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent\n\n - Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing\n\n - 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation\n\n - Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review\n\n\n\nLILT IN THE NEWS\n\n - Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!\n\n - LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.\n\n - LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.\n\n - Check out all our news on our website https://lilt.com/news.\n\n\n\n\n\nInformation 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.\n\n\n\nAt 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 recruiting@lilt.com.\n\n\n\nLILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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."},{"id":"0e486151-fd82-4c37-bec1-813270900f64","title":"Machine Learning Engineer (Real-Time Speech Translation)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Washington D.C.","secondaryLocations":[{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"Massachusetts","addressCountry":"USA","addressLocality":"Boston"}}},{"location":"Indianapolis, IN","address":{"postalAddress":{"addressRegion":"Indiana","addressCountry":"USA","addressLocality":"Indianapolis"}}}],"publishedAt":"2026-10-02T16:28:43.694+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"District of Columbia","addressCountry":"USA","addressLocality":"Washington D.C."}},"jobUrl":"https://jobs.ashbyhq.com/lilt-corporate/0e486151-fd82-4c37-bec1-813270900f64","applyUrl":"https://jobs.ashbyhq.com/lilt-corporate/0e486151-fd82-4c37-bec1-813270900f64/application","descriptionHtml":"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.
We are building a new live translation product. We are looking for an ML Engineer to build the real-time speech translation backend that powers it.
You will own the real-time speech translation backend end-to-end, from live audio input to translated output. You will build on LILT's production model serving platform (Ray Serve on GPU Kubernetes clusters) and our in-house adaptive machine translation models, working closely with the senior architects of that platform and with our language processing researchers. The ASR and MT models exist. Your job is to make them work together as a low-latency streaming system that holds up in production.
This is a hands-on backend engineering role for those looking to own a real-time ML system from end to end, supported by expert guidance and a clear product vision. Our team adopts an AI-first approach, leveraging agentic coding and AI-driven PR reviews to accelerate development. We combine this with deep technical expertise, requiring not only expert Python proficiency but also a comprehensive understanding of the entire ML stack, from optimizing neural network architectures to managing production infrastructure on Kubernetes, and making informed, cost-aware decisions on hardware selection.
Location & eligibility: This position requires US citizenship and residence in the United States. Preferred locations are Washington, D.C.; Boston, MA; and Indianapolis, IN (East Coast / ET timezone preferred).
Real-time pipeline architecture: Build and manage services for high-throughput, real-time audio and text streaming. Handle signal processing, session lifecycles, and concurrency management to ensure robust operation under load.
ML model integration: Integrate and serve streaming speech recognition and machine translation models, collaborating with research teams to ensure models operate within required latency budgets.
Quality and confidence workflows: Develop logic for model-based confidence scoring, routing segments for human intervention as needed, and broadcasting real-time updates and corrections to end-users.
Infrastructure and scale: Architect and scale production ML infrastructure on GPU-accelerated Kubernetes clusters. Implement batching, load balancing, and autoscaling strategies to maintain performance and cost-efficiency.
Latency engineering: Establish comprehensive instrumentation for real-time performance. Identify bottlenecks, optimize system throughput, and drive down end-to-end latency metrics to meet production standards.
Interface and API definition: Define technical contracts and interfaces for audio ingestion and downstream service integrations. Partner with frontend and platform engineering teams to maintain clean, robust integration points.
Collaboration and technical leadership: Drive cross-team alignment by defining clear API interfaces and technical contracts, facilitating effective communication between engineering and product teams to ensure seamless system integration.
BS or MS in Computer Science or a related field, or equivalent practical experience.
3+ years building production backend or ML serving systems in Python, including strong async programming (asyncio) skills.
Hands-on experience with real-time streaming transport: WebSocket or gRPC bidirectional streaming, session state, backpressure, and connection lifecycle handling.
Experience serving ML models in production on GPUs (Ray Serve, Triton, vLLM, or similar), with Docker and Kubernetes.
Experience integrating speech or NLP models into production systems, ideally streaming ASR (partial hypotheses, endpointing, VAD).
A latency-engineering mindset: you have profiled, instrumented, and optimized a real-time or low-latency system and can reason in per-stage budgets.
Effective use of AI coding agents (Claude Code, Codex, or similar) on top of fundamentals learned the hard way: you let agents do the typing, but you can debug, review, and reason about every line without them, and you know when not to trust them.
US citizenship and residence in the United States (contract requirement).
Ray Serve specifically, including streaming responses and model multiplexing.
Familiarity with simultaneous or incremental MT concepts (retranslation, prefix stability, wait-k policies).
Machine translation quality estimation (COMET/CometKiwi class models) or other confidence estimation in production.
Message brokers for real-time fan-out and state distribution (RabbitMQ or similar).
Streaming text-to-speech integration and time-to-first-audio optimization.
WebRTC and SFU concepts, or voice pipeline frameworks (LiveKit Agents, Pipecat).
Handling of CJK and other non-Latin text in NLP pipelines (our first languages are Japanese, Korean, and English).
Observability tooling (Datadog, Prometheus) for production ML systems.
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.
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 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 recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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.
","descriptionPlain":"ABOUT LILT\n\nAI is changing how the world communicates — and LILT is leading that transformation.\n\nWe'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.\n\n 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 https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/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.\n\n\n\n\nROLE SUMMARY\n\nWe are building a new live translation product. We are looking for an ML Engineer to build the real-time speech translation backend that powers it.\n\nYou will own the real-time speech translation backend end-to-end, from live audio input to translated output. You will build on LILT's production model serving platform (Ray Serve on GPU Kubernetes clusters) and our in-house adaptive machine translation models, working closely with the senior architects of that platform and with our language processing researchers. The ASR and MT models exist. Your job is to make them work together as a low-latency streaming system that holds up in production.\n\nThis is a hands-on backend engineering role for those looking to own a real-time ML system from end to end, supported by expert guidance and a clear product vision. Our team adopts an AI-first approach, leveraging agentic coding and AI-driven PR reviews to accelerate development. We combine this with deep technical expertise, requiring not only expert Python proficiency but also a comprehensive understanding of the entire ML stack, from optimizing neural network architectures to managing production infrastructure on Kubernetes, and making informed, cost-aware decisions on hardware selection.\n\nLocation & eligibility: This position requires US citizenship and residence in the United States. Preferred locations are Washington, D.C.; Boston, MA; and Indianapolis, IN (East Coast / ET timezone preferred).\n\n\nKEY RESPONSIBILITIES\n\n - Real-time pipeline architecture: Build and manage services for high-throughput, real-time audio and text streaming. Handle signal processing, session lifecycles, and concurrency management to ensure robust operation under load.\n\n - ML model integration: Integrate and serve streaming speech recognition and machine translation models, collaborating with research teams to ensure models operate within required latency budgets.\n\n - Quality and confidence workflows: Develop logic for model-based confidence scoring, routing segments for human intervention as needed, and broadcasting real-time updates and corrections to end-users.\n\n - Infrastructure and scale: Architect and scale production ML infrastructure on GPU-accelerated Kubernetes clusters. Implement batching, load balancing, and autoscaling strategies to maintain performance and cost-efficiency.\n\n - Latency engineering: Establish comprehensive instrumentation for real-time performance. Identify bottlenecks, optimize system throughput, and drive down end-to-end latency metrics to meet production standards.\n\n - Interface and API definition: Define technical contracts and interfaces for audio ingestion and downstream service integrations. Partner with frontend and platform engineering teams to maintain clean, robust integration points.\n\n - Collaboration and technical leadership: Drive cross-team alignment by defining clear API interfaces and technical contracts, facilitating effective communication between engineering and product teams to ensure seamless system integration.\n\n\nREQUIRED QUALIFICATIONS\n\n - BS or MS in Computer Science or a related field, or equivalent practical experience.\n\n - 3+ years building production backend or ML serving systems in Python, including strong async programming (asyncio) skills.\n\n - Hands-on experience with real-time streaming transport: WebSocket or gRPC bidirectional streaming, session state, backpressure, and connection lifecycle handling.\n\n - Experience serving ML models in production on GPUs (Ray Serve, Triton, vLLM, or similar), with Docker and Kubernetes.\n\n - Experience integrating speech or NLP models into production systems, ideally streaming ASR (partial hypotheses, endpointing, VAD).\n\n - A latency-engineering mindset: you have profiled, instrumented, and optimized a real-time or low-latency system and can reason in per-stage budgets.\n\n - Effective use of AI coding agents (Claude Code, Codex, or similar) on top of fundamentals learned the hard way: you let agents do the typing, but you can debug, review, and reason about every line without them, and you know when not to trust them.\n\n - US citizenship and residence in the United States (contract requirement).\n\n\nPREFERRED QUALIFICATIONS\n\n - Ray Serve specifically, including streaming responses and model multiplexing.\n\n - Familiarity with simultaneous or incremental MT concepts (retranslation, prefix stability, wait-k policies).\n\n - Machine translation quality estimation (COMET/CometKiwi class models) or other confidence estimation in production.\n\n - Message brokers for real-time fan-out and state distribution (RabbitMQ or similar).\n\n - Streaming text-to-speech integration and time-to-first-audio optimization.\n\n - WebRTC and SFU concepts, or voice pipeline frameworks (LiveKit Agents, Pipecat).\n\n - Handling of CJK and other non-Latin text in NLP pipelines (our first languages are Japanese, Korean, and English).\n\n - Observability tooling (Datadog, Prometheus) for production ML systems.\n\n\n\n\nOUR STORY\n\nOur 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.\n\n\n\nLILT 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.\n\n\n\nWith AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.\n\n\n\n\nOUR TECH\n\nWhat sets our platform apart:\n\n - Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent\n\n - Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing\n\n - 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation\n\n - Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review\n\n\n\nLILT IN THE NEWS\n\n - Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!\n\n - LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.\n\n - LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.\n\n - Check out all our news on our website https://lilt.com/news.\n\n\n\n\n\nInformation 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.\n\n\n\nAt 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 recruiting@lilt.com.\n\n\n\nLILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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."},{"id":"05d673c3-b64c-446e-9acc-a83a94efc8ad","title":"Project Manager, Applied AI","department":"Production","team":"Production","employmentType":"FullTime","location":"USA","secondaryLocations":[{"location":"USA","address":{"postalAddress":{"addressCountry":"USA"}}}],"publishedAt":"2026-09-21T11:52:50.020+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"USA"}},"jobUrl":"https://jobs.ashbyhq.com/lilt-corporate/05d673c3-b64c-446e-9acc-a83a94efc8ad","applyUrl":"https://jobs.ashbyhq.com/lilt-corporate/05d673c3-b64c-446e-9acc-a83a94efc8ad/application","descriptionHtml":"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.
We are looking for a data-driven Project Managers to lead our large-scale multilingual data collection and Large Language Model (LLM) evaluation initiatives. In this role, you will be the operational backbone of our AI development, orchestrating global teams of annotators and data specialists.
If you thrive in a fast-paced environment where you can optimize workflows for productivity, quality, and throughput, we want to hear from you
End-to-End Delivery: Manage the full lifecycle of AI data projects, from scoping and guidelines creation to data delivery and post-mortem analysis.
Pipeline Management: Oversee large-scale data pipelines for multilingual data collection (audio, text, image) and LLM evaluation (RLHF, SFT, ranking, and safety testing).
KPI Tracking: rigorously monitor and report on key performance indicators, including:
Throughput: Volume of data processed per hour/day.
Quality: Accuracy scores, Inter-Annotator Agreement (IAA), and gold-set performance.
Productivity: Cost-per-task and worker efficiency rates.
Quality Control: Run QA loops, root-cause analysis for quality dips, and corrective training for annotator pools.
Dashboards: Maintain dashboards to visualize project health and flag bottlenecks in real-time.
Global Coordination: Manage relationships with data experts and crowd pools, ensuring adherence to SLAs regarding localized nuances and linguistic accuracy.
Cross-Functional Collaboration: Liaise with Applied AI Technical Ops teams. Translate technical requirements into clear, actionable guidelines for non-technical annotators.
Feedback Loops: Facilitate continuous feedback loops where data insights drive updates to annotation guidelines and model fine-tuning strategies.
Experience: 3-5+ years of project management experience, specifically within AI/ML data operations.
LLM Knowledge: Strong understanding of LLM training processes (Pre-training, SFT, RLHF) and evaluation methodologies (Human-in-the-loop, red teaming).
Data Proficiency: Advanced proficiency in Excel/Google Sheets; ability to write SQL queries to extract and analyze performance data.
Methodology: Proven track record using Agile, Scrum, or Kanban methodologies to manage complex workflows.
Communication: Exceptional ability to write clear, unambiguous guidelines for multilingual audiences.
Multilingual: Fluency in a second language is highly desirable.
Technical Tools: Experience with data annotation platforms (e.g. Scale AI, Super Annotate) and project management tools (e.g. Jira).
Education: Background in ML Engineering, Computer Science, Data Science and Project Management training.
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.
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 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 recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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.
","descriptionPlain":"ABOUT LILT\n\nAI is changing how the world communicates — and LILT is leading that transformation.\n\nWe'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.\n\n 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 https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/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.\n\n\n\nWe are looking for a data-driven Project Managers to lead our large-scale multilingual data collection and Large Language Model (LLM) evaluation initiatives. In this role, you will be the operational backbone of our AI development, orchestrating global teams of annotators and data specialists.\n\nIf you thrive in a fast-paced environment where you can optimize workflows for productivity, quality, and throughput, we want to hear from you\n\n \n\n\nKEY RESPONSIBILITIES\n\n\n1. PROJECT MANAGEMENT\n\n - End-to-End Delivery: Manage the full lifecycle of AI data projects, from scoping and guidelines creation to data delivery and post-mortem analysis.\n\n - Pipeline Management: Oversee large-scale data pipelines for multilingual data collection (audio, text, image) and LLM evaluation (RLHF, SFT, ranking, and safety testing).\n\n\n2. QUALITY ASSURANCE & PERFORMANCE MONITORING\n\n - KPI Tracking: rigorously monitor and report on key performance indicators, including:\n \n - Throughput: Volume of data processed per hour/day.\n \n - Quality: Accuracy scores, Inter-Annotator Agreement (IAA), and gold-set performance.\n \n - Productivity: Cost-per-task and worker efficiency rates.\n\n - Quality Control: Run QA loops, root-cause analysis for quality dips, and corrective training for annotator pools.\n\n - Dashboards: Maintain dashboards to visualize project health and flag bottlenecks in real-time.\n\n\n3. STAKEHOLDER MANAGEMENT\n\n - Global Coordination: Manage relationships with data experts and crowd pools, ensuring adherence to SLAs regarding localized nuances and linguistic accuracy.\n\n - Cross-Functional Collaboration: Liaise with Applied AI Technical Ops teams. Translate technical requirements into clear, actionable guidelines for non-technical annotators.\n\n - Feedback Loops: Facilitate continuous feedback loops where data insights drive updates to annotation guidelines and model fine-tuning strategies.\n\n\nQUALIFICATIONS\n\n\nESSENTIAL SKILLS & EXPERIENCE\n\n - Experience: 3-5+ years of project management experience, specifically within AI/ML data operations.\n\n - LLM Knowledge: Strong understanding of LLM training processes (Pre-training, SFT, RLHF) and evaluation methodologies (Human-in-the-loop, red teaming).\n\n - Data Proficiency: Advanced proficiency in Excel/Google Sheets; ability to write SQL queries to extract and analyze performance data.\n\n - Methodology: Proven track record using Agile, Scrum, or Kanban methodologies to manage complex workflows.\n\n - Communication: Exceptional ability to write clear, unambiguous guidelines for multilingual audiences.\n\n\nPREFERRED QUALIFICATIONS (NICE TO HAVES)\n\n - Multilingual: Fluency in a second language is highly desirable.\n\n - Technical Tools: Experience with data annotation platforms (e.g. Scale AI, Super Annotate) and project management tools (e.g. Jira).\n\n - Education: Background in ML Engineering, Computer Science, Data Science and Project Management training.\n\n\n\n\nOUR STORY\n\nOur 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.\n\n\n\nLILT 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.\n\n\n\nWith AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.\n\n\n\n\nOUR TECH\n\nWhat sets our platform apart:\n\n - Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent\n\n - Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing\n\n - 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation\n\n - Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review\n\n\n\nLILT IN THE NEWS\n\n - Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!\n\n - LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.\n\n - LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.\n\n - Check out all our news on our website https://lilt.com/news.\n\n\n\n\n\nInformation 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.\n\n\n\nAt 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 recruiting@lilt.com.\n\n\n\nLILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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."},{"id":"299b3ad3-24e0-49cc-9f26-06dba4f05074","title":"Senior DevOps Engineer","department":"Engineering","team":"Infrastructure","employmentType":"FullTime","location":"Washington D.C.","secondaryLocations":[],"publishedAt":"2026-09-09T20:12:05.925+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"District of Columbia","addressCountry":"USA","addressLocality":"Washington D.C."}},"jobUrl":"https://jobs.ashbyhq.com/lilt-corporate/299b3ad3-24e0-49cc-9f26-06dba4f05074","applyUrl":"https://jobs.ashbyhq.com/lilt-corporate/299b3ad3-24e0-49cc-9f26-06dba4f05074/application","descriptionHtml":"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.
The Engineering Team at LILT
LILT is a high-performance, large-scale language translation system. We invest in and prioritize workflow (i.e., usability and interface design) and backend AI systems. Since the translation workforce is distributed worldwide, there are interesting cloud engineering problems to solve. We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas.
What You’ll Do
LILT is seeking a world-class devops engineer to build highly reliable software systems. Your job will be to apply your software talents to our infrastructure and operations needs, including bare-metal Linux deployments and commercial deployments in GCP and AWS. Our system requires low latency worldwide, so you’ll continuously improve our multi-region configuration, and help us expand into new regions. You will collaborate with the rest of the engineering team to support new and on-going products.
This position is based out of our Washington D.C. hub and requires a mix of remote and on-site customer engagement.
Key Responsibilities:
Support technical operations in our development and production systems
Deliver infrastructure engineering projects to support company initiatives
Collaborate with our research and development teams to deliver software fast and reliably
Secure our platform infrastructure and harden our on-premise builds
Work with engineering teams to set, measure, and reach SLIs and SLOs for SLAs
Execute on the roadmap in sprints, and adhere to SCRUM best practices
Introduce and implement new technologies and best practices in InfoSec, DevOps and Site Reliability
Support our self-managed customers on-site
Skills and Experience:
The candidate is required to have and maintain an active TS/SCI security clearance with polygraph and to satisfy other security-related requirements.
Minimum 3 years experience as Linux System Administrator, DevOps Engineer or similar position.
Solid understanding of Docker and hands-on experience with Kubernetes.
Strong knowledge of at least one scripting language (e.g. Python, Bash).
High proficiency with at least one configuration management/infrastructure as code (IaC) tool, preferably Terraform.
Experience with GCP services such as Compute Engine, shared VPC, and data analytics or equivalents from other vendors.
Expertise in monitoring/alerting and maintaining high production availability
Experience with CI/CD tools and concepts, such as GitHub Actions
U.S. citizenship is a precondition of employment.
The candidate is required to have and maintain an active TS/SCI security clearance and to satisfy other security-related requirements.
Benefits
Compensation: Competitive salary with the opportunity to earn on-target earnings (OTE), meaningful equity, 401(k) matching, and flexible time off plus company holidays.
Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, and more. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability.
Paid parental leave is provided after 6 months.
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.
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 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 recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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.
","descriptionPlain":"ABOUT LILT\n\nAI is changing how the world communicates — and LILT is leading that transformation.\n\nWe'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.\n\n 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 https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/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.\n\n\n\nThe Engineering Team at LILT\nLILT is a high-performance, large-scale language translation system. We invest in and prioritize workflow (i.e., usability and interface design) and backend AI systems. Since the translation workforce is distributed worldwide, there are interesting cloud engineering problems to solve. We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas.\n\nWhat You’ll Do\nLILT is seeking a world-class devops engineer to build highly reliable software systems. Your job will be to apply your software talents to our infrastructure and operations needs, including bare-metal Linux deployments and commercial deployments in GCP and AWS. Our system requires low latency worldwide, so you’ll continuously improve our multi-region configuration, and help us expand into new regions. You will collaborate with the rest of the engineering team to support new and on-going products.\n\n\nThis position is based out of our Washington D.C. hub and requires a mix of remote and on-site customer engagement.\n\n\nKey Responsibilities:\n\n - Support technical operations in our development and production systems\n\n - Deliver infrastructure engineering projects to support company initiatives\n\n - Collaborate with our research and development teams to deliver software fast and reliably\n\n - Secure our platform infrastructure and harden our on-premise builds\n\n - Work with engineering teams to set, measure, and reach SLIs and SLOs for SLAs\n\n - Execute on the roadmap in sprints, and adhere to SCRUM best practices\n\n - Introduce and implement new technologies and best practices in InfoSec, DevOps and Site Reliability\n\n - Support our self-managed customers on-site\n\nSkills and Experience:\nThe candidate is required to have and maintain an active TS/SCI security clearance with polygraph and to satisfy other security-related requirements.\n\n - Minimum 3 years experience as Linux System Administrator, DevOps Engineer or similar position.\n\n - Solid understanding of Docker and hands-on experience with Kubernetes.\n\n - Strong knowledge of at least one scripting language (e.g. Python, Bash).\n\n - High proficiency with at least one configuration management/infrastructure as code (IaC) tool, preferably Terraform.\n\n - Experience with GCP services such as Compute Engine, shared VPC, and data analytics or equivalents from other vendors.\n\n - Expertise in monitoring/alerting and maintaining high production availability\n\n - Experience with CI/CD tools and concepts, such as GitHub Actions\n\n - U.S. citizenship is a precondition of employment.\n\n - The candidate is required to have and maintain an active TS/SCI security clearance and to satisfy other security-related requirements.\n\nBenefits\n\n - Compensation: Competitive salary with the opportunity to earn on-target earnings (OTE), meaningful equity, 401(k) matching, and flexible time off plus company holidays.\n\n - Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, and more. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability.\n\n - Paid parental leave is provided after 6 months.\n\n\n\n\nOUR STORY\n\nOur 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.\n\n\n\nLILT 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.\n\n\n\nWith AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.\n\n\n\n\nOUR TECH\n\nWhat sets our platform apart:\n\n - Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent\n\n - Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing\n\n - 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation\n\n - Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review\n\n\n\nLILT IN THE NEWS\n\n - Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!\n\n - LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.\n\n - LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.\n\n - Check out all our news on our website https://lilt.com/news.\n\n\n\n\n\nInformation 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.\n\n\n\nAt 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 recruiting@lilt.com.\n\n\n\nLILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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."},{"id":"e6998ee7-48e3-4384-9ab5-82b4a08a74e1","title":"Manager, Production - Applied AI","department":"Production","team":"Production","employmentType":"FullTime","location":"Boston, MA","secondaryLocations":[{"location":"Washington D.C.","address":{"postalAddress":{"addressRegion":"District of Columbia","addressCountry":"USA","addressLocality":"Washington D.C."}}},{"location":"Indianapolis, IN","address":{"postalAddress":{"addressRegion":"Indiana","addressCountry":"USA","addressLocality":"Indianapolis"}}},{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}},{"location":"London, UK","address":{"postalAddress":{"addressRegion":"London","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}}}],"publishedAt":"2026-09-08T20:19:04.430+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Massachusetts","addressCountry":"USA","addressLocality":"Boston"}},"jobUrl":"https://jobs.ashbyhq.com/lilt-corporate/e6998ee7-48e3-4384-9ab5-82b4a08a74e1","applyUrl":"https://jobs.ashbyhq.com/lilt-corporate/e6998ee7-48e3-4384-9ab5-82b4a08a74e1/application","descriptionHtml":"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.
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.
This position is based in our Boston office and will be expected to work in the office in a hybrid capacity. LILT is hybrid with hubs in SF, NY, Indianapolis, Boston, London, and Berlin.
Authorization to work in the U.S. is a precondition of employment.
Boston (highly preferred)
Others: SF Bay Area, New York, Indianapolis, London
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.
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 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 recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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.
","descriptionPlain":"ABOUT LILT\n\nAI is changing how the world communicates — and LILT is leading that transformation.\n\nWe'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.\n\n 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 https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/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.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - PM Performance\n \n - 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.\n\n - PM Hiring, Onboarding, and Development\n \n - 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.\n\n - Quality Interventions Across Programs\n \n - 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.\n\n - Process Standardization & Software Improvements\n \n - 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.\n\n - Escalation and Cross-Functional Interface\n \n - 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.\n\n\nQUALIFICATIONS\n\n - 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.\n\n - 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.\n\n - 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.\n\n - 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.\n\n - Contractor workforce operations: Has hired, ramped, performance-managed, and offboarded hourly and freelance staff across regions and languages.\n\n - Methodology: Proven track record using Agile, Scrum, or Kanban to manage complex workflows across a portfolio of programs.\n\n - Communication: Writes clear, unambiguous guidelines and feedback for multilingual audiences and communicates status, risk, and tradeoffs crisply to leadership.\n\n\nPREFERRED SKILLS\n\n - Fluency in multiple human languages.\n\n - Experience with multilingual data deliveries (pre-training, SFT, RLHF, machine translation, multimodal, etc.), especially in rare-resource languages\n\n - Experience with data annotation platforms (e.g., Label Studio, SuperAnnotate) and project management tooling (e.g., Jira).\n\n - Background in ML engineering, computer science, or data science.\n\n\n\n\nWHERE YOU’LL WORK\n\nThis position is based in our Boston office and will be expected to work in the office in a hybrid capacity. LILT is hybrid with hubs in SF, NY, Indianapolis, Boston, London, and Berlin.\n\n \n\nAuthorization to work in the U.S. is a precondition of employment.\n\n - Boston (highly preferred)\n\n - Others: SF Bay Area, New York, Indianapolis, London\n\n\n\n\nOUR STORY\n\nOur 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.\n\n\n\nLILT 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.\n\n\n\nWith AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.\n\n\n\n\nOUR TECH\n\nWhat sets our platform apart:\n\n - Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent\n\n - Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing\n\n - 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation\n\n - Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review\n\n\n\nLILT IN THE NEWS\n\n - Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!\n\n - LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.\n\n - LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.\n\n - Check out all our news on our website https://lilt.com/news.\n\n\n\n\n\nInformation 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.\n\n\n\nAt 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 recruiting@lilt.com.\n\n\n\nLILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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."},{"id":"af665065-48a9-4f63-b4b6-d914297971a7","title":"Senior Quality Manager, Applied AI","department":"Production","team":"Production","employmentType":"FullTime","location":"Boston, MA","secondaryLocations":[{"location":"Washington D.C.","address":{"postalAddress":{"addressRegion":"District of Columbia","addressCountry":"USA","addressLocality":"Washington D.C."}}},{"location":"Indianapolis, IN","address":{"postalAddress":{"addressRegion":"Indiana","addressCountry":"USA","addressLocality":"Indianapolis"}}},{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}},{"location":"London, UK","address":{"postalAddress":{"addressRegion":"London","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}}}],"publishedAt":"2026-09-01T01:14:14.668+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Massachusetts","addressCountry":"USA","addressLocality":"Boston"}},"jobUrl":"https://jobs.ashbyhq.com/lilt-corporate/af665065-48a9-4f63-b4b6-d914297971a7","applyUrl":"https://jobs.ashbyhq.com/lilt-corporate/af665065-48a9-4f63-b4b6-d914297971a7/application","descriptionHtml":"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.
Ensure Workflows Are Built for Quality
Outcome: Every Applied AI deliverable ships with measured quality: rater agreement meets agreed thresholds per dimension, rubric scores are reproducible across raters, and reported quality figures hold up under customer audit.
Own Technical Tooling & Quality Infrastructure
Outcome: Quality metrics for every active program (defect rate, acceptance rate, rework, reviewer reliability, throughput, SLA adherence) are available without manual compilation, and systemic quality issues are detected from workflow data before a customer reports them.
Own Operational Quality at Scale
Outcome: Concurrent programs meet their quality targets within agreed cost and throughput. Acceptance rates hold at or above target, rework declines over time, and standard QC on standardized workflows is executed and interpreted by Production staff without Quality Manager involvement by the end of the second quarter in role.
Delivery sign-off: Every deliverable has a documented go/no-go decision before shipping, based on programmatic QA and a readiness memo with flags. Post-sign-off quality escapes stay below an agreed threshold, and each escape results in a documented process change.
Own Customer Quality Remediation
Outcome: Customer quality disputes are closed with quantitative analysis, normally at first response. Re-adjudication completes within SLA, recurring defect classes decline release over release, and annotator integrity issues are detected internally before they reach a deliverable.
Education: B.S./M.S. in a quantitative field (CS, Statistics, Data Science, Engineering, Linguistics, HCI) or equivalent practical experience.
Applied AI / evaluation experience: 6+ years building or operating quality programs for ML/LLM systems (data labeling, benchmark creation, model evaluation, or human-in-the-loop pipelines).
Quality systems leadership: Proven ability to design and run end-to-end quality frameworks (rubrics, sampling plans, QC gates, acceptance criteria, escalation paths) across multiple concurrent programs.
Measurement & statistics: Strong grasp of reliability and agreement methods (e.g., Krippendorff’s α, Cohen’s κ), power/sample-size intuition, error analysis, and reporting for executive stakeholders.
Rater/annotator operations: Experience with calibration, adjudication, targeted retraining, drift monitoring, and integrity/fraud detection in high-throughput human evaluation programs.
Tooling & automation: Hands-on with labeling/eval tooling (e.g., Label Studio or similar) and designing deterministic validations; comfort partnering with engineering/research to implement quality instrumentation.
Data governance: Strong understanding of dataset/version management, traceability, privacy/compliance constraints, and audit-ready documentation for deliverables.
Stakeholder management: Excellent written and verbal communication; able to translate ambiguous research goals into measurable quality targets and negotiate tradeoffs with Applied AI, product, and external partners.
Fluency in multiple human languages.
Proficiency in a programming language and experience working with modern AI frameworks.
This position is based in our Boston office and will be expected to work in the office in a hybrid capacity. LILT is hybrid with hubs in SF, NY, Indianapolis, Boston, London, and Berlin.
Authorization to work in the U.S. is a precondition of employment.
Boston (highly preferred)
Others: SF Bay Area, New York, Indianapolis, London
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.
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 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 recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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.
","descriptionPlain":"ABOUT LILT\n\nAI is changing how the world communicates — and LILT is leading that transformation.\n\nWe'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.\n\n 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 https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/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.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Ensure Workflows Are Built for Quality\n \n - Outcome: Every Applied AI deliverable ships with measured quality: rater agreement meets agreed thresholds per dimension, rubric scores are reproducible across raters, and reported quality figures hold up under customer audit.\n\n - Own Technical Tooling & Quality Infrastructure\n \n - Outcome: Quality metrics for every active program (defect rate, acceptance rate, rework, reviewer reliability, throughput, SLA adherence) are available without manual compilation, and systemic quality issues are detected from workflow data before a customer reports them.\n\n - Own Operational Quality at Scale\n \n - Outcome: Concurrent programs meet their quality targets within agreed cost and throughput. Acceptance rates hold at or above target, rework declines over time, and standard QC on standardized workflows is executed and interpreted by Production staff without Quality Manager involvement by the end of the second quarter in role.\n\n - Delivery sign-off: Every deliverable has a documented go/no-go decision before shipping, based on programmatic QA and a readiness memo with flags. Post-sign-off quality escapes stay below an agreed threshold, and each escape results in a documented process change.\n\n - Own Customer Quality Remediation\n \n - Outcome: Customer quality disputes are closed with quantitative analysis, normally at first response. Re-adjudication completes within SLA, recurring defect classes decline release over release, and annotator integrity issues are detected internally before they reach a deliverable.\n\n\nQUALIFICATIONS\n\n - Education: B.S./M.S. in a quantitative field (CS, Statistics, Data Science, Engineering, Linguistics, HCI) or equivalent practical experience.\n\n - Applied AI / evaluation experience: 6+ years building or operating quality programs for ML/LLM systems (data labeling, benchmark creation, model evaluation, or human-in-the-loop pipelines).\n\n - Quality systems leadership: Proven ability to design and run end-to-end quality frameworks (rubrics, sampling plans, QC gates, acceptance criteria, escalation paths) across multiple concurrent programs.\n\n - Measurement & statistics: Strong grasp of reliability and agreement methods (e.g., Krippendorff’s α, Cohen’s κ), power/sample-size intuition, error analysis, and reporting for executive stakeholders.\n\n - Rater/annotator operations: Experience with calibration, adjudication, targeted retraining, drift monitoring, and integrity/fraud detection in high-throughput human evaluation programs.\n\n - Tooling & automation: Hands-on with labeling/eval tooling (e.g., Label Studio or similar) and designing deterministic validations; comfort partnering with engineering/research to implement quality instrumentation.\n\n - Data governance: Strong understanding of dataset/version management, traceability, privacy/compliance constraints, and audit-ready documentation for deliverables.\n\n - Stakeholder management: Excellent written and verbal communication; able to translate ambiguous research goals into measurable quality targets and negotiate tradeoffs with Applied AI, product, and external partners.\n\n\nPREFERRED SKILLS\n\n - Fluency in multiple human languages.\n\n - Proficiency in a programming language and experience working with modern AI frameworks.\n\n\nWHERE YOU’LL WORK\n\nThis position is based in our Boston office and will be expected to work in the office in a hybrid capacity. LILT is hybrid with hubs in SF, NY, Indianapolis, Boston, London, and Berlin.\n\n \n\nAuthorization to work in the U.S. is a precondition of employment.\n\n - Boston (highly preferred)\n\n - Others: SF Bay Area, New York, Indianapolis, London\n\n\n\n\nOUR STORY\n\nOur 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.\n\n\n\nLILT 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.\n\n\n\nWith AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.\n\n\n\n\nOUR TECH\n\nWhat sets our platform apart:\n\n - Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent\n\n - Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing\n\n - 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation\n\n - Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review\n\n\n\nLILT IN THE NEWS\n\n - Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!\n\n - LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.\n\n - LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.\n\n - Check out all our news on our website https://lilt.com/news.\n\n\n\n\n\nInformation 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.\n\n\n\nAt 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 recruiting@lilt.com.\n\n\n\nLILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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."},{"id":"9a0afd3d-30f6-4317-bda5-f0b7085f1994","title":"Technical Project Manager","department":"Production","team":"Production","employmentType":"FullTime","location":"USA","secondaryLocations":[],"publishedAt":"2026-09-18T21:52:02.177+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"USA"}},"jobUrl":"https://jobs.ashbyhq.com/lilt-corporate/9a0afd3d-30f6-4317-bda5-f0b7085f1994","applyUrl":"https://jobs.ashbyhq.com/lilt-corporate/9a0afd3d-30f6-4317-bda5-f0b7085f1994/application","descriptionHtml":"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.
We are looking for a Technical Project Manager to join our Applied AI team and lead large-scale multilingual data collection, human-in-the-loop workflows, and Large Language Model (LLM) evaluation initiatives. You will work with AI specialists, engineering teams, specialized Subject Matter Experts (SMEs), and data operations teams to translate technical AI requirements into high-throughput data workflows, hybrid evaluation pipelines, and measurable delivery plans.
This role combines technical project management with hands-on data analysis, unit economics optimization, and a strong operational understanding of modern LLM training and evaluation processes.
Manage Applied AI data collection and evaluation projects from technical scoping through validation, delivery, and retrospective review. through implementation, validation, delivery, and retrospective review.
Translate technical AI requirements into structured data specifications, domain-specific annotation requirements, evaluation plans, and acceptance criteria.
Manage timelines and throughput velocity, dependencies, delivery risks, and technical blockers across Applied AI, engineering, and operations stakeholders.
Coordinate data collection and annotation for supervised fine-tuning (SFT), preference data used in reinforcement learning from human feedback (RLHF), and model evaluation.
Partner with engineering teams to define and validate data workflows, including ingestion, annotation tooling, systems integrations, quality checks, data generation pipelines, and delivery.
Operationalize hybrid evaluation methodologies, combining human review with automated evaluation tooling, and LLM-as-a-judge frameworks.
Coordinate requirements for data formats, schemas, metadata, annotation tools, and system integrations.
Coordinate requirements for data formats, schemas, metadata, annotation tooling, and automated quality checks.
Work with Applied AI specialists to operationalize evaluation methods, including human review, response ranking, and safety testing.
Investigate data, pipeline, or tooling issues and coordinate prompt resolution with technical owners.
Use SQL and business intelligence tools to analyze throughput velocity, quality, unit economics, and supplier/delivery performance.
Define and monitor quality standards, including inter-annotator (IAA) agreement, gold-set performance, and dataset completeness.
Lead root-cause analysis on quality discrepancies, workflow bottlenecks, benchmark discrepancies, and quality edge cases.
Establish delivery validation checks and coordinate stakeholder acceptance of completed, accurate datasets, delivery targets, and evaluation results.
Translate complex technical requirements into actionable plans and clear instructions for global contributor teams, external vendors, and specialized domain SMEs and teams.
Communicate project status, technical risks and tradeoffs, unit economics, and operational risks to technical and non-technical stakeholders.
Ensure contributor feedback and evaluation findings inform improvements to internal tooling, guidelines, and dataset pipelines.
3–5+ years of technical project management experience in AI/ML, data platforms, or technical data operations.
Strong understanding of LLM training and evaluation concepts, including SFT, RLHF, human evaluation, automated evaluations, LLM-as-a-judge, and red teaming.
Proficiency in SQL for analyzing delivery velocity, data quality metrics, and cost structures.
Working knowledge of data pipelines, structured data formats, APIs, and validation processes.
Experience partnering with engineers to manage technical requirements, dependencies, and issue resolution.
Proven ability to track and optimize project unit economics (cost per token/task) and delivery velocity.
Strong communication skills, including the ability to translate technical requirements for multilingual audiences and diverse global contributor networks
Experience managing complex workflows using Agile, Scrum, or Kanban.
Experience using Python or scripting tools for data analysis, workflow automation, or evaluation scripting.
Experience managing high-skill Subject Matter Experts (SMEs) or specialized contributor networks across technical domains.
Experience with annotation platforms, automated evaluation tools, business intelligence tools, and Jira.
Experience delivering complex multilingual or multimodal data projects.
Background in computer science, data science, engineering, or equivalent practical experience.
Fluency in an additional language.
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.
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 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 recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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.
","descriptionPlain":"ABOUT LILT\n\nAI is changing how the world communicates — and LILT is leading that transformation.\n\nWe'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.\n\n 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 https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/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.\n\n\n\n\nTECHNICAL PROJECT MANAGER — APPLIED AI\n\nWe are looking for a Technical Project Manager to join our Applied AI team and lead large-scale multilingual data collection, human-in-the-loop workflows, and Large Language Model (LLM) evaluation initiatives. You will work with AI specialists, engineering teams, specialized Subject Matter Experts (SMEs), and data operations teams to translate technical AI requirements into high-throughput data workflows, hybrid evaluation pipelines, and measurable delivery plans.\n\nThis role combines technical project management with hands-on data analysis, unit economics optimization, and a strong operational understanding of modern LLM training and evaluation processes.\n\n\nKEY RESPONSIBILITIES\n\n\nTECHNICAL PROJECT DELIVERY\n\n - Manage Applied AI data collection and evaluation projects from technical scoping through validation, delivery, and retrospective review. through implementation, validation, delivery, and retrospective review.\n\n - Translate technical AI requirements into structured data specifications, domain-specific annotation requirements, evaluation plans, and acceptance criteria.\n\n - Manage timelines and throughput velocity, dependencies, delivery risks, and technical blockers across Applied AI, engineering, and operations stakeholders.\n\n - Coordinate data collection and annotation for supervised fine-tuning (SFT), preference data used in reinforcement learning from human feedback (RLHF), and model evaluation.\n\n\nDATA WORKFLOWS & EVALUATION\n\n - Partner with engineering teams to define and validate data workflows, including ingestion, annotation tooling, systems integrations, quality checks, data generation pipelines, and delivery.\n\n - Operationalize hybrid evaluation methodologies, combining human review with automated evaluation tooling, and LLM-as-a-judge frameworks.\n\n - Coordinate requirements for data formats, schemas, metadata, annotation tools, and system integrations.\n\n - Coordinate requirements for data formats, schemas, metadata, annotation tooling, and automated quality checks.\n\n - Work with Applied AI specialists to operationalize evaluation methods, including human review, response ranking, and safety testing.\n\n - Investigate data, pipeline, or tooling issues and coordinate prompt resolution with technical owners.\n\n\nQUALITY, COST, & PERFORMANCE\n\n - Use SQL and business intelligence tools to analyze throughput velocity, quality, unit economics, and supplier/delivery performance.\n\n - Define and monitor quality standards, including inter-annotator (IAA) agreement, gold-set performance, and dataset completeness.\n\n - Lead root-cause analysis on quality discrepancies, workflow bottlenecks, benchmark discrepancies, and quality edge cases.\n\n - Establish delivery validation checks and coordinate stakeholder acceptance of completed, accurate datasets, delivery targets, and evaluation results.\n\n\nSTAKEHOLDER & CONTRIBUTOR MANAGEMENT\n\n - Translate complex technical requirements into actionable plans and clear instructions for global contributor teams, external vendors, and specialized domain SMEs and teams.\n\n - Communicate project status, technical risks and tradeoffs, unit economics, and operational risks to technical and non-technical stakeholders.\n\n - Ensure contributor feedback and evaluation findings inform improvements to internal tooling, guidelines, and dataset pipelines.\n\n\nESSENTIAL QUALIFICATIONS\n\n - 3–5+ years of technical project management experience in AI/ML, data platforms, or technical data operations.\n\n - Strong understanding of LLM training and evaluation concepts, including SFT, RLHF, human evaluation, automated evaluations, LLM-as-a-judge, and red teaming.\n\n - Proficiency in SQL for analyzing delivery velocity, data quality metrics, and cost structures.\n\n - Working knowledge of data pipelines, structured data formats, APIs, and validation processes.\n\n - Experience partnering with engineers to manage technical requirements, dependencies, and issue resolution.\n\n - Proven ability to track and optimize project unit economics (cost per token/task) and delivery velocity.\n\n - Strong communication skills, including the ability to translate technical requirements for multilingual audiences and diverse global contributor networks\n\n - Experience managing complex workflows using Agile, Scrum, or Kanban.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience using Python or scripting tools for data analysis, workflow automation, or evaluation scripting.\n\n - Experience managing high-skill Subject Matter Experts (SMEs) or specialized contributor networks across technical domains.\n\n - Experience with annotation platforms, automated evaluation tools, business intelligence tools, and Jira.\n\n - Experience delivering complex multilingual or multimodal data projects.\n\n - Background in computer science, data science, engineering, or equivalent practical experience.\n\n - Fluency in an additional language.\n\n\n\n\nOUR STORY\n\nOur 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.\n\n\n\nLILT 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.\n\n\n\nWith AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.\n\n\n\n\nOUR TECH\n\nWhat sets our platform apart:\n\n - Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent\n\n - Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing\n\n - 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation\n\n - Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review\n\n\n\nLILT IN THE NEWS\n\n - Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!\n\n - LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.\n\n - LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.\n\n - Check out all our news on our website https://lilt.com/news.\n\n\n\n\n\nInformation 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.\n\n\n\nAt 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 recruiting@lilt.com.\n\n\n\nLILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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."},{"id":"b404c0af-570e-4d41-b6c1-405bce6607a8","title":"Senior Technical Product Manager, Connectors","department":"Product & Design","team":"Product & Design","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"Massachusetts","addressCountry":"USA","addressLocality":"Boston"}}},{"location":"Washington D.C.","address":{"postalAddress":{"addressRegion":"District of Columbia","addressCountry":"USA","addressLocality":"Washington D.C."}}},{"location":"London, UK","address":{"postalAddress":{"addressRegion":"London","addressCountry":"United Kingdom","addressLocality":"London"}}}],"publishedAt":"2026-09-29T01:17:29.182+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/lilt-corporate/b404c0af-570e-4d41-b6c1-405bce6607a8","applyUrl":"https://jobs.ashbyhq.com/lilt-corporate/b404c0af-570e-4d41-b6c1-405bce6607a8/application","descriptionHtml":"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.
LILT is seeking a Senior Technical Product Manager to own our connector strategy and roadmap, making integrations a reliable, scalable part of our enterprise platform.
Our connectors link LILT with customers’ content management systems, repositories, and business applications, securely moving content, metadata, and workflow status between systems.
You’ll combine strong product judgment, deep integration expertise, and customer-facing leadership to guide the connector portfolio from discovery through launch and ongoing improvement. You’ll work closely with Engineering, Solutions, Forward-Deployed Engineering, Customer Engineering, Customer Success, and customers to turn complex integration needs into scalable product capabilities.
This is a technical product role for someone who can read code, evaluate integration designs, lead validation, and work directly with customers. You’ll also use AI tools and agentic workflows to accelerate discovery, analysis, documentation, and execution while applying your own judgment.
Connectors will be your primary focus. As part of a small Product team, you may take on additional product responsibilities as business priorities evolve.
Own connector strategy and the roadmap. Set priorities, make tradeoffs, and sequence delivery based on customer needs, business impact, technical constraints, and engineering capacity.
Lead new connectors and capabilities from discovery through launch. Define requirements, validate prerequisites, establish acceptance criteria, and coordinate delivery and customer readiness.
Turn customer implementations into scalable products. Partner with Forward-Deployed Engineering to identify repeatable needs, translate field learnings into product investments, and establish clear handoffs between customer-specific implementations and reusable connector capabilities.
Evaluate technical feasibility. Review third-party documentation, assess integration approaches, and challenge assumptions before engineering commits to delivery.
Own validation and acceptance testing. Develop and execute internal and customer-facing test plans covering integration behavior, file and tag handling, and customer requirements. Document results, defects, and release-readiness decisions in partnership with technical teams.
Drive portfolio reliability. Prioritize high-impact connector issues, establish escalation criteria, and coordinate resolution. Identify recurring failures that require product or platform improvements.
Lead technical customer conversations. Guide discovery, setup planning, scoping, troubleshooting, and readiness discussions, explaining technical constraints clearly to different audiences.
Enable implementation and support teams. Create documentation, runbooks, and guidance that help teams handle routine connector setup and support.
Keep stakeholders aligned. Maintain a clear view of connector status, risks, ownership, priorities, and customer impact.
Use AI effectively. Apply AI tools and agentic workflows to improve the speed and quality of research, scoping, testing, documentation, and troubleshooting.
You’ll be accountable for the connector portfolio’s product direction, priorities, readiness, and delivery coordination. Engineering owns production implementation and quality, while Forward-Deployed Engineering owns customer-specific implementation and field delivery.
You’ll enable the teams responsible for routine setup and support, stepping in when issues create broader risks to onboarding, customer relationships, or revenue. Your focus will include resolving recurring problems through product improvements.
Broader analytics and data-platform ownership sits outside this role, apart from limited work supporting connector needs.
Product ownership: A track record of owning a technical product or integration portfolio, setting roadmap priorities, managing tradeoffs, and driving ambiguous work through delivery.
Technical depth and a builder mindset: Ability to read code, reason about implementation tradeoffs, participate in architecture discussions, and build prototypes or tools when useful. Production development is owned by Engineering, but you should be comfortable doing technical work directly.
AI and Agentic fluency: Demonstrated ability to design and use agentic workflows for research, requirements, analysis, documentation, or troubleshooting. You evaluate outputs critically and remain accountable for decisions.
Deep integration expertise: Strong understanding of APIs, SDKs, authentication, webhooks, data mapping, file round-tripping, rate limits, retries, error handling, and observability.
Cross-platform experience: Experience integrating multiple third-party systems and learning unfamiliar APIs, data models, and constraints. Relevant backgrounds include integration automation, embedded integration platforms, developer platforms, and enterprise SaaS.
Strong product judgment: Ability to write clear specifications, prioritize competing customer needs, and distinguish customer-specific requests from systemic product opportunities.
Customer-facing leadership: Confidence leading technical discovery and troubleshooting with customers and explaining complex topics to localization managers, administrators, and business stakeholders.
Clear communication: Ability to produce concise decisions, plans, documentation, status updates, and escalation guidance for technical and nontechnical teams.
Experience with CMS, content management, localization, or translation workflows.
Experience with platforms such as Workato, Zapier, Tray, Prismatic, Paragon, or Merge.
Familiarity with TypeScript or a similar modern programming language.
Experience supporting enterprise integrations in high-assurance or regulated environments.
Familiarity with connector usage analytics and basic data analysis.
Experience introducing AI-enabled working practices across product and engineering teams.
New connector work reaches Engineering with clear scope, validated prerequisites, acceptance criteria, and defined ownership.
Implementation and support teams have effective setup documentation, runbooks, and escalation guidance.
Recurring reliability issues inform prioritized product and platform improvements.
Connector-related onboarding delays and negative impacts on customer health begin to decline.
Roadmap decisions balance strategic priorities with urgent customer needs.
High-impact connector issues have clear owners, priorities, status, and resolution plans.
AI and agentic workflows measurably improve the speed and quality of discovery, scoping, documentation, analysis, and issue resolution.
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.
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 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 recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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.
","descriptionPlain":"ABOUT LILT\n\nAI is changing how the world communicates — and LILT is leading that transformation.\n\nWe'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.\n\n 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 https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/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.\n\n\n\n\nABOUT THE ROLE\n\nLILT is seeking a Senior Technical Product Manager to own our connector strategy and roadmap, making integrations a reliable, scalable part of our enterprise platform.\n\nOur connectors link LILT with customers’ content management systems, repositories, and business applications, securely moving content, metadata, and workflow status between systems.\n\nYou’ll combine strong product judgment, deep integration expertise, and customer-facing leadership to guide the connector portfolio from discovery through launch and ongoing improvement. You’ll work closely with Engineering, Solutions, Forward-Deployed Engineering, Customer Engineering, Customer Success, and customers to turn complex integration needs into scalable product capabilities.\n\nThis is a technical product role for someone who can read code, evaluate integration designs, lead validation, and work directly with customers. You’ll also use AI tools and agentic workflows to accelerate discovery, analysis, documentation, and execution while applying your own judgment.\n\nConnectors will be your primary focus. As part of a small Product team, you may take on additional product responsibilities as business priorities evolve.\n\n\nWHAT YOU’LL DO\n\n - Own connector strategy and the roadmap. Set priorities, make tradeoffs, and sequence delivery based on customer needs, business impact, technical constraints, and engineering capacity.\n\n - Lead new connectors and capabilities from discovery through launch. Define requirements, validate prerequisites, establish acceptance criteria, and coordinate delivery and customer readiness.\n\n - Turn customer implementations into scalable products. Partner with Forward-Deployed Engineering to identify repeatable needs, translate field learnings into product investments, and establish clear handoffs between customer-specific implementations and reusable connector capabilities.\n\n - Evaluate technical feasibility. Review third-party documentation, assess integration approaches, and challenge assumptions before engineering commits to delivery.\n\n - Own validation and acceptance testing. Develop and execute internal and customer-facing test plans covering integration behavior, file and tag handling, and customer requirements. Document results, defects, and release-readiness decisions in partnership with technical teams.\n\n - Drive portfolio reliability. Prioritize high-impact connector issues, establish escalation criteria, and coordinate resolution. Identify recurring failures that require product or platform improvements.\n\n - Lead technical customer conversations. Guide discovery, setup planning, scoping, troubleshooting, and readiness discussions, explaining technical constraints clearly to different audiences.\n\n - Enable implementation and support teams. Create documentation, runbooks, and guidance that help teams handle routine connector setup and support.\n\n - Keep stakeholders aligned. Maintain a clear view of connector status, risks, ownership, priorities, and customer impact.\n\n - Use AI effectively. Apply AI tools and agentic workflows to improve the speed and quality of research, scoping, testing, documentation, and troubleshooting.\n\n\nHOW YOU’LL WORK WITH THE TEAM\n\nYou’ll be accountable for the connector portfolio’s product direction, priorities, readiness, and delivery coordination. Engineering owns production implementation and quality, while Forward-Deployed Engineering owns customer-specific implementation and field delivery.\n\nYou’ll enable the teams responsible for routine setup and support, stepping in when issues create broader risks to onboarding, customer relationships, or revenue. Your focus will include resolving recurring problems through product improvements.\n\nBroader analytics and data-platform ownership sits outside this role, apart from limited work supporting connector needs.\n\n\nWHAT YOU’LL BRING\n\n - Product ownership: A track record of owning a technical product or integration portfolio, setting roadmap priorities, managing tradeoffs, and driving ambiguous work through delivery.\n\n - Technical depth and a builder mindset: Ability to read code, reason about implementation tradeoffs, participate in architecture discussions, and build prototypes or tools when useful. Production development is owned by Engineering, but you should be comfortable doing technical work directly.\n\n - AI and Agentic fluency: Demonstrated ability to design and use agentic workflows for research, requirements, analysis, documentation, or troubleshooting. You evaluate outputs critically and remain accountable for decisions.\n\n - Deep integration expertise: Strong understanding of APIs, SDKs, authentication, webhooks, data mapping, file round-tripping, rate limits, retries, error handling, and observability.\n\n - Cross-platform experience: Experience integrating multiple third-party systems and learning unfamiliar APIs, data models, and constraints. Relevant backgrounds include integration automation, embedded integration platforms, developer platforms, and enterprise SaaS.\n\n - Strong product judgment: Ability to write clear specifications, prioritize competing customer needs, and distinguish customer-specific requests from systemic product opportunities.\n\n - Customer-facing leadership: Confidence leading technical discovery and troubleshooting with customers and explaining complex topics to localization managers, administrators, and business stakeholders.\n\n - Clear communication: Ability to produce concise decisions, plans, documentation, status updates, and escalation guidance for technical and nontechnical teams.\n\n\nNICE TO HAVE\n\n - Experience with CMS, content management, localization, or translation workflows.\n\n - Experience with platforms such as Workato, Zapier, Tray, Prismatic, Paragon, or Merge.\n\n - Familiarity with TypeScript or a similar modern programming language.\n\n - Experience supporting enterprise integrations in high-assurance or regulated environments.\n\n - Familiarity with connector usage analytics and basic data analysis.\n\n - Experience introducing AI-enabled working practices across product and engineering teams.\n\n\nWHAT SUCCESS LOOKS LIKE IN YOUR FIRST 6–12 MONTHS\n\n - New connector work reaches Engineering with clear scope, validated prerequisites, acceptance criteria, and defined ownership.\n\n - Implementation and support teams have effective setup documentation, runbooks, and escalation guidance.\n\n - Recurring reliability issues inform prioritized product and platform improvements.\n\n - Connector-related onboarding delays and negative impacts on customer health begin to decline.\n\n - Roadmap decisions balance strategic priorities with urgent customer needs.\n\n - High-impact connector issues have clear owners, priorities, status, and resolution plans.\n\n - AI and agentic workflows measurably improve the speed and quality of discovery, scoping, documentation, analysis, and issue resolution.\n\n\n\n\nOUR STORY\n\nOur 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.\n\n\n\nLILT 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.\n\n\n\nWith AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.\n\n\n\n\nOUR TECH\n\nWhat sets our platform apart:\n\n - Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent\n\n - Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing\n\n - 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation\n\n - Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review\n\n\n\nLILT IN THE NEWS\n\n - Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!\n\n - LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.\n\n - LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.\n\n - Check out all our news on our website https://lilt.com/news.\n\n\n\n\n\nInformation 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.\n\n\n\nAt 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 recruiting@lilt.com.\n\n\n\nLILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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."},{"id":"32e5f4bd-f77c-4fd0-abaa-5b09607f63cd","title":"Technical Project Manager, Applied AI (Contract) ","department":"Production","team":"Production","employmentType":"Contract","location":"London, UK","secondaryLocations":[{"location":"Germany","address":{"postalAddress":{"addressCountry":"Germany"}}},{"location":"Poland","address":{"postalAddress":{"addressCountry":"Poland"}}}],"publishedAt":"2026-10-06T16:07:30.886+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"London","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/lilt-corporate/32e5f4bd-f77c-4fd0-abaa-5b09607f63cd","applyUrl":"https://jobs.ashbyhq.com/lilt-corporate/32e5f4bd-f77c-4fd0-abaa-5b09607f63cd/application","descriptionHtml":"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
We are looking for a Technical Project Manager to join our Applied AI team to lead data programs that help improve automatic speech recognition (ASR) for low-resource and long-tail languages—making speech technology more accurate and accessible for communities underserved by existing AI systems.
Four-month fixed-term contract, requiring 4–6 hours per day, with potential for extension.
You will own end-to-end program delivery, bringing together multilingual teams, language expertise, and technical capabilities to meet customer goals. This is a high-ownership, outcomes-driven role with accountability for quality, timelines, and budget, and the opportunity to build scalable approaches to complex AI data challenges.
This role requires high cross-functional aptitude and a singular focus on getting things done. Successful candidates will be able to demonstrate a history of making significant demands of a business and aligning stakeholders to a project’s success.
Delivery planning: Own end-to-end program plans, from pilot and calibration through scaled production and final delivery, aligning scope, staffing, and milestones with customer requirements.
Tracking and forecasting: Monitor output against volume and timeline targets, forecast delivery using actual performance, and adjust capacity or workflows to address gaps.
Program milestones: Lead readiness reviews, quality checkpoints, and acceptance milestones, coordinating stakeholders and driving timely decisions.
Budget and margin: Manage delivery costs against budget and margin targets; proactively flag scope changes, cost pressures, and resource trade-offs.
Build and lead teams: Assemble multilingual delivery teams with the expertise needed for complex AI data programs.
Align capacity: Align team capacity and capabilities with program goals.
Enable performance: Foster strong performance through clear expectations, training, and feedback.
Drive data quality: Ensure AI datasets meet customer standards and support meaningful improvements in model capabilities.
Lead continuous improvement: Collaborate with language experts, Quality, and Research to improve data consistency and delivery performance.
Uphold responsible data practices: Maintain high standards for privacy, confidentiality, and secure handling of customer data.
Build customer trust: Serve as a key delivery contact alongside the account team, aligning expectations and maintaining strong customer relationships.
Communicate program performance: Translate progress, risks, and trade-offs into clear, actionable updates for customers and internal stakeholders.
Drive alignment and decisions: Bring cross-functional teams together to resolve issues, manage changing requirements, and keep programs moving toward shared goals.
Partner with Engineering: Translate program needs into tooling and automation improvements that enable efficient, high-quality AI data delivery.
Build for scale: Develop reusable processes and playbooks that capture lessons learned, accelerate future launches, and strengthen delivery across language programs.
Experience: 3+ years managing high-volume, deadline-driven service delivery in data annotation, transcription, localization, content operations, BPO or a comparable field.
Team leadership: Demonstrated success leading distributed teams to meet demanding delivery and quality goals.
Analytical skills: Strong ability to use data, dashboards, and forecasting to guide decisions on delivery, quality, and cost.
Quality: Working knowledge of quality assurance for AI training data, including evaluation, sampling, and acceptance criteria.
Communication: Excellent written English and the ability to write unambiguous instructions for multilingual contributors.
Adaptability: Comfortable bringing structure to ambiguous requirements and leading programs in evolving environments.
Availability: Able to commit for the full contract term.
Audio data: Experience with speech or audio datasets, ASR training data, or transcription.
Global delivery: Experience building or managing multilingual teams across international markets.
Data stewardship: Experience delivering programs with privacy, confidentiality, and secure data-handling requirements.
Tools: Familiarity with annotation platforms and Jira.
Languages: Fluency in an additional language; experience working with low-resource languages is a plus.
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.
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 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 recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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.
","descriptionPlain":"ABOUT LILT\n\nAI is changing how the world communicates — and LILT is leading that transformation.\n\nWe'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.\n\n 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 https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/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.\n\n\n\nAbout the Role\n\nWe are looking for a Technical Project Manager to join our Applied AI team to lead data programs that help improve automatic speech recognition (ASR) for low-resource and long-tail languages—making speech technology more accurate and accessible for communities underserved by existing AI systems. \n\nFour-month fixed-term contract, requiring 4–6 hours per day, with potential for extension.\n\nYou will own end-to-end program delivery, bringing together multilingual teams, language expertise, and technical capabilities to meet customer goals. This is a high-ownership, outcomes-driven role with accountability for quality, timelines, and budget, and the opportunity to build scalable approaches to complex AI data challenges.\n\nThis role requires high cross-functional aptitude and a singular focus on getting things done. Successful candidates will be able to demonstrate a history of making significant demands of a business and aligning stakeholders to a project’s success.\n\n\nKEY RESPONSIBILITIES\n\n\n1. PROGRAM AND VOLUME DELIVERY\n\n - Delivery planning: Own end-to-end program plans, from pilot and calibration through scaled production and final delivery, aligning scope, staffing, and milestones with customer requirements.\n\n - Tracking and forecasting: Monitor output against volume and timeline targets, forecast delivery using actual performance, and adjust capacity or workflows to address gaps.\n\n - Program milestones: Lead readiness reviews, quality checkpoints, and acceptance milestones, coordinating stakeholders and driving timely decisions.\n\n - Budget and margin: Manage delivery costs against budget and margin targets; proactively flag scope changes, cost pressures, and resource trade-offs.\n\n\n2. TEAM LEADERSHIP AND CAPACITY BUILDING\n\n - Build and lead teams: Assemble multilingual delivery teams with the expertise needed for complex AI data programs.\n\n - Align capacity: Align team capacity and capabilities with program goals.\n\n - Enable performance: Foster strong performance through clear expectations, training, and feedback.\n\n\n3. QUALITY AND DATA HANDLING\n\n - Drive data quality: Ensure AI datasets meet customer standards and support meaningful improvements in model capabilities.\n\n - Lead continuous improvement: Collaborate with language experts, Quality, and Research to improve data consistency and delivery performance.\n\n - Uphold responsible data practices: Maintain high standards for privacy, confidentiality, and secure handling of customer data.\n\n\n4. REPORTING AND STAKEHOLDER COMMUNICATION\n\n - Build customer trust: Serve as a key delivery contact alongside the account team, aligning expectations and maintaining strong customer relationships.\n\n - Communicate program performance: Translate progress, risks, and trade-offs into clear, actionable updates for customers and internal stakeholders.\n\n - Drive alignment and decisions: Bring cross-functional teams together to resolve issues, manage changing requirements, and keep programs moving toward shared goals.\n\n\n5. TOOLING AND PROCESS\n\n - Partner with Engineering: Translate program needs into tooling and automation improvements that enable efficient, high-quality AI data delivery.\n\n - Build for scale: Develop reusable processes and playbooks that capture lessons learned, accelerate future launches, and strengthen delivery across language programs.\n\n\nQUALIFICATIONS\n\n\nESSENTIAL SKILLS AND EXPERIENCE\n\n - Experience: 3+ years managing high-volume, deadline-driven service delivery in data annotation, transcription, localization, content operations, BPO or a comparable field.\n\n - Team leadership: Demonstrated success leading distributed teams to meet demanding delivery and quality goals.\n\n - Analytical skills: Strong ability to use data, dashboards, and forecasting to guide decisions on delivery, quality, and cost.\n\n - Quality: Working knowledge of quality assurance for AI training data, including evaluation, sampling, and acceptance criteria.\n\n - Communication: Excellent written English and the ability to write unambiguous instructions for multilingual contributors.\n\n - Adaptability: Comfortable bringing structure to ambiguous requirements and leading programs in evolving environments.\n\n - Availability: Able to commit for the full contract term.\n\n\nPREFERRED QUALIFICATIONS\n\n - Audio data: Experience with speech or audio datasets, ASR training data, or transcription.\n\n - Global delivery: Experience building or managing multilingual teams across international markets.\n\n - Data stewardship: Experience delivering programs with privacy, confidentiality, and secure data-handling requirements.\n\n - Tools: Familiarity with annotation platforms and Jira.\n\n - Languages: Fluency in an additional language; experience working with low-resource languages is a plus.\n\n\n\n\nOUR STORY\n\nOur 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.\n\n\n\nLILT 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.\n\n\n\nWith AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.\n\n\n\n\nOUR TECH\n\nWhat sets our platform apart:\n\n - Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent\n\n - Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing\n\n - 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation\n\n - Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review\n\n\n\nLILT IN THE NEWS\n\n - Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!\n\n - LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.\n\n - LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.\n\n - Check out all our news on our website https://lilt.com/news.\n\n\n\n\n\nInformation 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.\n\n\n\nAt 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 recruiting@lilt.com.\n\n\n\nLILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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."},{"id":"62fbedac-d8c4-44fe-8049-ca0d42c8d194","title":"Enterprise Account Executive","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Boston, MA","secondaryLocations":[{"location":"Seattle, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"USA","addressLocality":"Seattle"}}},{"location":"Washington D.C.","address":{"postalAddress":{"addressRegion":"District of Columbia","addressCountry":"USA","addressLocality":"Washington D.C."}}},{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}},{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}}}],"publishedAt":"2026-10-06T00:46:05.718+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Massachusetts","addressCountry":"USA","addressLocality":"Boston"}},"jobUrl":"https://jobs.ashbyhq.com/lilt-corporate/62fbedac-d8c4-44fe-8049-ca0d42c8d194","applyUrl":"https://jobs.ashbyhq.com/lilt-corporate/62fbedac-d8c4-44fe-8049-ca0d42c8d194/application","descriptionHtml":"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.
Where You’ll Work
Get the best of both worlds at LILT! Dive into dynamic in-office energy 3 days a week, sparking creativity and forging bonds with your awesome team. Then, seamlessly shift gears and crush your to-do list from the comfort of your home base for the rest of the week. It's the perfect harmony of productivity and personal freedom. Want a peek inside? Visit our Careers page!
This position can be fully remote anywhere in the United States. Candidates based in San Francisco, CA Indianapolis, IN or New York, NY offices will be expected to work in the office in a hybrid capacity.
This position can be based out of our London, UK office and will be expected to work in the office in a hybrid capacity.
Authorization to work in the U.S. / UK is a precondition of employment.
What You’ll Do
LILT is growing quickly and the Enterprise Account Executive role is core to our success. We are looking for a driven, hard-working, and adaptable sales professional who will propel us to new milestones by leveraging their skills, qualities, and experiences to grow our commercial footprint. You will achieve this by selling our platform and services to new customers while also supporting our Customer Success Managers to expand partnerships with larger customers.
While we understand the power of a channel, in order to be successful in this role, you will close your quota through your own outbound efforts. This will require you to be a strong, systematic hunter who uses the latest revenue operations practices and technologies to run the entire sales cycle as well as work in conjunction with our ADR/BDR team. You will build relationships with our champions, business cases with their constituents, and “partnerships” with their businesses.
Key Responsibilities:
Uncover, educate, and close prospective customers on time and on forecast that meet company metrics and objectives
Become an expert in translating the value of our platform and services to all levels and across all functions, including C-level executives, into the language and metrics of the customer in order to sell the outcome impact to business buyers
Set-up and deliver winning POCs in order to convert new, long-lasting customers
Provide a weekly accounting of your high-gain activities for continuous improvement as well as maintaining an accurate forecast of your total business
Sustain high activity levels across all channels employing tailored, multi-thread outreach
Skills and Experience:
Required: Experience selling in the translation & localization industry (required both technology and services) or SaaS with strong services component and offering.
6+ years of proven ability in managing complex 9-15 month sales cycles to the high-end mid-market and enterprise markets with a track record of meeting or exceeding quota, acquiring new complex and highly competitive accounts and successful revenue attainment
Consistently booking $250k - $2M deals and exceeding $1.2M+ in annual quotas
Equally effective in getting meetings with target customers independently as well as in conjunction with ADR/BDR teams
Experience in sourcing and acting as the lead on RFP response, cross-departmental collaboration, and execution
Proficient with leading sales tools such as Salesforce, Linkedin Sales Navigator, Amplemarket, Momentum
Experience in account management and collaborating with cross-functional service & delivery teams to influence strategy and creatively solve client’s business problems
Skilled at negotiating business terms with line-of-business, procurement and contract teams, senior management and/or C-level executives
Proven ability to influence & drive cross-departmental strategy and collaboration (Services, Product, Solutions, Senior Leadership) during deal cycles in creatively solving our client’s business problems
Excellent verbal and written communication skills and excels leading in-person meetings and web-based demos
Process and solution oriented with a customer mindset and ability to challenge the status quo in order to uncover and prove out multiple land and expand use cases
BA or BS degree (preferred) or higher from an accredited university
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. They were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company and left to start a new company to address this need – LILT.
At its core, LILT has always been a machine learning company since its incorporation on March 6, 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, believing that this foundation was imperative to the future of enterprise translation.
Benefits:
US Postings
Compensation: At market salary with the opportunity to earn on-target earnings (OTE), meaningful equity, 401(k) matching, and flexible time off plus company holidays
Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, and more. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability
Paid parental leave is provided after 6 months.
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.
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 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 recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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.
","descriptionPlain":"ABOUT LILT\n\nAI is changing how the world communicates — and LILT is leading that transformation.\n\nWe'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.\n\n 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 https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/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.\n\n\n\nWhere You’ll Work\n\nGet the best of both worlds at LILT! Dive into dynamic in-office energy 3 days a week, sparking creativity and forging bonds with your awesome team. Then, seamlessly shift gears and crush your to-do list from the comfort of your home base for the rest of the week. It's the perfect harmony of productivity and personal freedom. Want a peek inside? Visit our Careers page https://lilt.com/careers!\n\n\n\nThis position can be fully remote anywhere in the United States. Candidates based in San Francisco, CA Indianapolis, IN or New York, NY offices will be expected to work in the office in a hybrid capacity.\n\nThis position can be based out of our London, UK office and will be expected to work in the office in a hybrid capacity.\n\nAuthorization to work in the U.S. / UK is a precondition of employment.\n\n\n\nWhat You’ll Do\n\nLILT is growing quickly and the Enterprise Account Executive role is core to our success. We are looking for a driven, hard-working, and adaptable sales professional who will propel us to new milestones by leveraging their skills, qualities, and experiences to grow our commercial footprint. You will achieve this by selling our platform and services to new customers while also supporting our Customer Success Managers to expand partnerships with larger customers.\n\nWhile we understand the power of a channel, in order to be successful in this role, you will close your quota through your own outbound efforts. This will require you to be a strong, systematic hunter who uses the latest revenue operations practices and technologies to run the entire sales cycle as well as work in conjunction with our ADR/BDR team. You will build relationships with our champions, business cases with their constituents, and “partnerships” with their businesses.\n\n\n\nKey Responsibilities:\n\n - Uncover, educate, and close prospective customers on time and on forecast that meet company metrics and objectives\n\n - Become an expert in translating the value of our platform and services to all levels and across all functions, including C-level executives, into the language and metrics of the customer in order to sell the outcome impact to business buyers\n\n - Set-up and deliver winning POCs in order to convert new, long-lasting customers\n\n - Provide a weekly accounting of your high-gain activities for continuous improvement as well as maintaining an accurate forecast of your total business\n\n - Sustain high activity levels across all channels employing tailored, multi-thread outreach\n\nSkills and Experience:\n\n - Required: Experience selling in the translation & localization industry (required both technology and services) or SaaS with strong services component and offering.\n\n - 6+ years of proven ability in managing complex 9-15 month sales cycles to the high-end mid-market and enterprise markets with a track record of meeting or exceeding quota, acquiring new complex and highly competitive accounts and successful revenue attainment\n\n - Consistently booking $250k - $2M deals and exceeding $1.2M+ in annual quotas\n\n - Equally effective in getting meetings with target customers independently as well as in conjunction with ADR/BDR teams\n\n - Experience in sourcing and acting as the lead on RFP response, cross-departmental collaboration, and execution\n\n - Proficient with leading sales tools such as Salesforce, Linkedin Sales Navigator, Amplemarket, Momentum\n\n - Experience in account management and collaborating with cross-functional service & delivery teams to influence strategy and creatively solve client’s business problems\n\n - Skilled at negotiating business terms with line-of-business, procurement and contract teams, senior management and/or C-level executives\n\n - Proven ability to influence & drive cross-departmental strategy and collaboration (Services, Product, Solutions, Senior Leadership) during deal cycles in creatively solving our client’s business problems\n\n - Excellent verbal and written communication skills and excels leading in-person meetings and web-based demos\n\n - Process and solution oriented with a customer mindset and ability to challenge the status quo in order to uncover and prove out multiple land and expand use cases\n\n - BA or BS degree (preferred) or higher from an accredited university\n\n\n\nOur Story\n\nOur 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. They were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company and left to start a new company to address this need – LILT.\n\n\n\nAt its core, LILT has always been a machine learning company since its incorporation on March 6, 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, believing that this foundation was imperative to the future of enterprise translation.\n\nBenefits:\n\n US Postings\n\n - Compensation: At market salary with the opportunity to earn on-target earnings (OTE), meaningful equity, 401(k) matching, and flexible time off plus company holidays\n\n - Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, and more. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability\n\n - Paid parental leave is provided after 6 months.\n\n\n\n\nOUR STORY\n\nOur 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.\n\n\n\nLILT 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.\n\n\n\nWith AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.\n\n\n\n\nOUR TECH\n\nWhat sets our platform apart:\n\n - Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent\n\n - Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing\n\n - 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation\n\n - Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review\n\n\n\nLILT IN THE NEWS\n\n - Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!\n\n - LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.\n\n - LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.\n\n - Check out all our news on our website https://lilt.com/news.\n\n\n\n\n\nInformation 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.\n\n\n\nAt 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 recruiting@lilt.com.\n\n\n\nLILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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."},{"id":"f891f807-4606-4fdb-8b98-22de86812f24","title":"Enterprise Account Executive","department":"Sales","team":"Sales","employmentType":"FullTime","location":"London, UK","secondaryLocations":[],"publishedAt":"2026-10-06T00:48:30.365+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"London","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/lilt-corporate/f891f807-4606-4fdb-8b98-22de86812f24","applyUrl":"https://jobs.ashbyhq.com/lilt-corporate/f891f807-4606-4fdb-8b98-22de86812f24/application","descriptionHtml":"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.
Where You’ll Work
Get the best of both worlds at LILT! Dive into dynamic in-office energy 3 days a week, sparking creativity and forging bonds with your awesome team. Then, seamlessly shift gears and crush your to-do list from the comfort of your home base for the rest of the week. It's the perfect harmony of productivity and personal freedom. Want a peek inside? Visit our Careers page!
This position can be based out of our London, UK office and will be expected to work in the office in a hybrid capacity.
Authorization to work in the UK is a precondition of employment.
What You’ll Do
LILT is growing quickly and the Enterprise Account Executive role is core to our success. We are looking for a driven, hard-working, and adaptable sales professional who will propel us to new milestones by leveraging their skills, qualities, and experiences to grow our commercial footprint. You will achieve this by selling our platform and services to new customers while also supporting our Customer Success Managers to expand partnerships with larger customers.
While we understand the power of a channel, in order to be successful in this role, you will close your quota through your own outbound efforts. This will require you to be a strong, systematic hunter who uses the latest revenue operations practices and technologies to run the entire sales cycle as well as work in conjunction with our ADR/BDR team. You will build relationships with our champions, business cases with their constituents, and “partnerships” with their businesses.
Key Responsibilities:
Uncover, educate, and close prospective customers on time and on forecast that meet company metrics and objectives
Become an expert in translating the value of our platform and services to all levels and across all functions, including C-level executives, into the language and metrics of the customer in order to sell the outcome impact to business buyers
Set-up and deliver winning POCs in order to convert new, long-lasting customers
Provide a weekly accounting of your high-gain activities for continuous improvement as well as maintaining an accurate forecast of your total business
Sustain high activity levels across all channels employing tailored, multi-thread outreach
Skills and Experience:
Required: Experience selling in the translation & localization industry (required both technology and services) or SaaS with strong services component and offering.
6+ years of proven ability in managing complex 9-15 month sales cycles to the high-end mid-market and enterprise markets with a track record of meeting or exceeding quota, acquiring new complex and highly competitive accounts and successful revenue attainment
Consistently booking $250k - $2M deals and exceeding $1.2M+ in annual quotas
Equally effective in getting meetings with target customers independently as well as in conjunction with ADR/BDR teams
Experience in sourcing and acting as the lead on RFP response, cross-departmental collaboration, and execution
Proficient with leading sales tools such as Salesforce, Linkedin Sales Navigator, Amplemarket, Momentum
Experience in account management and collaborating with cross-functional service & delivery teams to influence strategy and creatively solve client’s business problems
Skilled at negotiating business terms with line-of-business, procurement and contract teams, senior management and/or C-level executives
Proven ability to influence & drive cross-departmental strategy and collaboration (Services, Product, Solutions, Senior Leadership) during deal cycles in creatively solving our client’s business problems
Excellent verbal and written communication skills and excels leading in-person meetings and web-based demos
Process and solution oriented with a customer mindset and ability to challenge the status quo in order to uncover and prove out multiple land and expand use cases
BA or BS degree (preferred) or higher from an accredited university
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. They were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company and left to start a new company to address this need – LILT.
At its core, LILT has always been a machine learning company since its incorporation on March 6, 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, believing that this foundation was imperative to the future of enterprise translation.
Benefits:
US Postings
Compensation: At market salary with the opportunity to earn on-target earnings (OTE), meaningful equity, 401(k) matching, and flexible time off plus company holidays
Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, and more. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability
Paid parental leave is provided after 6 months.
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.
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 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 recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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.
","descriptionPlain":"ABOUT LILT\n\nAI is changing how the world communicates — and LILT is leading that transformation.\n\nWe'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.\n\n 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 https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/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.\n\n\n\nWhere You’ll Work\n\nGet the best of both worlds at LILT! Dive into dynamic in-office energy 3 days a week, sparking creativity and forging bonds with your awesome team. Then, seamlessly shift gears and crush your to-do list from the comfort of your home base for the rest of the week. It's the perfect harmony of productivity and personal freedom. Want a peek inside? Visit our Careers page https://lilt.com/careers!\n\n\n\nThis position can be based out of our London, UK office and will be expected to work in the office in a hybrid capacity.\n\nAuthorization to work in the UK is a precondition of employment.\n\n\n\nWhat You’ll Do\n\nLILT is growing quickly and the Enterprise Account Executive role is core to our success. We are looking for a driven, hard-working, and adaptable sales professional who will propel us to new milestones by leveraging their skills, qualities, and experiences to grow our commercial footprint. You will achieve this by selling our platform and services to new customers while also supporting our Customer Success Managers to expand partnerships with larger customers.\n\nWhile we understand the power of a channel, in order to be successful in this role, you will close your quota through your own outbound efforts. This will require you to be a strong, systematic hunter who uses the latest revenue operations practices and technologies to run the entire sales cycle as well as work in conjunction with our ADR/BDR team. You will build relationships with our champions, business cases with their constituents, and “partnerships” with their businesses.\n\n\n\nKey Responsibilities:\n\n - Uncover, educate, and close prospective customers on time and on forecast that meet company metrics and objectives\n\n - Become an expert in translating the value of our platform and services to all levels and across all functions, including C-level executives, into the language and metrics of the customer in order to sell the outcome impact to business buyers\n\n - Set-up and deliver winning POCs in order to convert new, long-lasting customers\n\n - Provide a weekly accounting of your high-gain activities for continuous improvement as well as maintaining an accurate forecast of your total business\n\n - Sustain high activity levels across all channels employing tailored, multi-thread outreach\n\nSkills and Experience:\n\n - Required: Experience selling in the translation & localization industry (required both technology and services) or SaaS with strong services component and offering.\n\n - 6+ years of proven ability in managing complex 9-15 month sales cycles to the high-end mid-market and enterprise markets with a track record of meeting or exceeding quota, acquiring new complex and highly competitive accounts and successful revenue attainment\n\n - Consistently booking $250k - $2M deals and exceeding $1.2M+ in annual quotas\n\n - Equally effective in getting meetings with target customers independently as well as in conjunction with ADR/BDR teams\n\n - Experience in sourcing and acting as the lead on RFP response, cross-departmental collaboration, and execution\n\n - Proficient with leading sales tools such as Salesforce, Linkedin Sales Navigator, Amplemarket, Momentum\n\n - Experience in account management and collaborating with cross-functional service & delivery teams to influence strategy and creatively solve client’s business problems\n\n - Skilled at negotiating business terms with line-of-business, procurement and contract teams, senior management and/or C-level executives\n\n - Proven ability to influence & drive cross-departmental strategy and collaboration (Services, Product, Solutions, Senior Leadership) during deal cycles in creatively solving our client’s business problems\n\n - Excellent verbal and written communication skills and excels leading in-person meetings and web-based demos\n\n - Process and solution oriented with a customer mindset and ability to challenge the status quo in order to uncover and prove out multiple land and expand use cases\n\n - BA or BS degree (preferred) or higher from an accredited university\n\n\n\nOur Story\n\nOur 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. They were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company and left to start a new company to address this need – LILT.\n\n\n\nAt its core, LILT has always been a machine learning company since its incorporation on March 6, 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, believing that this foundation was imperative to the future of enterprise translation.\n\nBenefits:\n\n US Postings\n\n - Compensation: At market salary with the opportunity to earn on-target earnings (OTE), meaningful equity, 401(k) matching, and flexible time off plus company holidays\n\n - Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, and more. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability\n\n - Paid parental leave is provided after 6 months.\n\n\n\n\nOUR STORY\n\nOur 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.\n\n\n\nLILT 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.\n\n\n\nWith AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.\n\n\n\n\nOUR TECH\n\nWhat sets our platform apart:\n\n - Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent\n\n - Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing\n\n - 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation\n\n - Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review\n\n\n\nLILT IN THE NEWS\n\n - Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!\n\n - LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.\n\n - LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.\n\n - Check out all our news on our website https://lilt.com/news.\n\n\n\n\n\nInformation 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.\n\n\n\nAt 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 recruiting@lilt.com.\n\n\n\nLILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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."},{"id":"b94e3c1d-f8c8-41a9-96a6-4ccccdc9337a","title":"Staff Fullstack Engineer - Internal Tools","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA","secondaryLocations":[],"publishedAt":"2026-10-06T01:08:51.137+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"USA"}},"jobUrl":"https://jobs.ashbyhq.com/lilt-corporate/b94e3c1d-f8c8-41a9-96a6-4ccccdc9337a","applyUrl":"https://jobs.ashbyhq.com/lilt-corporate/b94e3c1d-f8c8-41a9-96a6-4ccccdc9337a/application","descriptionHtml":"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.
As part of LILT’s Internal Tools group, you will build and run the tools that LILT's own delivery, contributor-ops, and engineering teams rely on to operate LILT's Applied AI (AAI) benchmarking business — which builds and delivers multilingual benchmarks and evaluation data to frontier AI labs using LILT's global network of subject-matter experts. As the AAI business grows, expect the scope of these platforms to grow in parallel. This platform sits directly on the critical path of paid customer deliverables with real SLAs, maintained by a small, high-leverage engineering team that produces reliable, production-ready tooling. You will own significant surface area across both end-to-end: architecture, data-pipeline design, and the hands-on engineering that keeps this infrastructure reliable. This is a high-impact, high-visibility role: the reliability and craft you bring directly enables on-time, high-quality delivery for some of the most prominent AI labs in the world.
In this role, you will drive the long-term technical strategy for internal platforms while working directly with the delivery, ops, and engineering teams across the business who depend on them daily. This team ships cross-service automation in careful stages — advisory first, then assistive, only later decision-relevant, always with a human fallback — and you'll be expected to hold that same bar as you extend these systems. You will partner with a small existing team to raise the engineering bar across two very different runtimes, set technical direction, and make the calls that determine how this infrastructure scales as the business grows.
Partner with the benchmarking business's researchers and TPMs to translate new benchmark and data-quality requirements into scoped technical designs
Own the internal workforce-management tools on our internal platform for AI delivery for hundreds of external contributors: vetting flows, candidate assessment, QC, payment/delivery tracking, and roster/reporting exports
Own architecture and long-term technical direction across multiple services and the platform
Extend IAA and audio-QA pipelines: annotator outlier detection, ASR sidecar enhancements, LLM-based QC, and DNSMOS/librosa audio-quality scoring
Design and ship new modules on the platform that plug new benchmark and vetting workflows into the existing multi-stage review lifecycle
Own and extend the platform's API key provisioning and budget-governance system
Build self-serve ChatOps-style automation for the internal engineering org and contributor base to enable accelerated annotator workflows and query resolution
Harden background worker and job-processing infrastructure
Set and enforce testing, CI/CD, and deployment practices across both codebases — from unit/integration testing through infrastructure-as-code and release automation
Raise the technical bar for a small, high-leverage team through code review, design docs, and mentoring as the surface area grows
5+ years of professional full-stack software engineering experience, with a track record of owning production systems end-to-end across more than one runtime/language
Deep experience with a Python backend framework (FastAPI or comparable) plus async SQLAlchemy/Postgres, alongside production experience in at least one statically-typed backend language (Go, Java, or similar)
Strong React/TypeScript frontend experience — component architecture, state management (Zustand, Redux, or similar), and a modern data-fetching layer (TanStack Query or comparable)
Experience building and operating background job/worker systems (queue-driven or polling-based) with failure tolerance and idempotency in mind
Experience integrating with third-party and platform APIs — including the GitHub API, OAuth/OIDC SSO, and at least one LLM API (Gemini, OpenAI, or similar) — handling auth, rate limits, and webhook-driven sync
Experience building Slack (or comparable chat-platform) bot integrations that automate internal workflows — resource provisioning, approvals, budget/TTL enforcement — with real operational guardrails, not just CRUD features
Comfort reading and extending applied-statistics or ML-adjacent code (agreement metrics, audio-quality scoring, or comparable data-quality tooling)
Solid grasp of CI/CD, containerized deployment (Docker, Helm, ArgoCD/GitOps or comparable), and infrastructure-as-code (Terraform or comparable)
Experience debugging and optimizing native-library (numpy/scipy/onnxruntime-class) memory growth in long-running Python worker processes via safe, boundary-aware process recycling — not just raising memory limits
Experience building and owning internal platforms/tools that increase leverage for a non-engineering team (research, operations, support, data/workforce management, or similar) — not solely external-customer-facing product work
Experience with audio/speech pipelines: ASR (Whisper or similar) or audio-quality metrics (DNSMOS, librosa)
Experience building internal tools for managing a data-labeling, annotation, or crowdsourced-contributor workforce (vetting, QC, payments)
Experience with inter-annotator agreement or statistical agreement metrics
Notification and delivery systems experience — Slack bot integrations, transactional email, and idempotent delivery guarantees
Experience designing abstractions over heterogeneous data sources with different consistency guarantees — e.g. a fully-replayable event history vs. an observe-only current-state API requiring synthesized diffing — behind one common interface
Experience building ChatOps-style automation — Slack or GitHub PR-comment bot commands that trigger backend workflows or CI/CD runs
Experience implementing short-lived, rotatable service-to-service JWT auth (key-ID-based rotation, replay-protected tokens, fail-fast config validation) alongside a separate human-facing SSO flow in a paired service
Comfort owning both sides of a system with genuinely different runtimes without a large team to lean on
Prior experience as the primary or sole engineer on a small, high-leverage internal platform
Experience with LLM-as-judge or LLM-based QA/review pipelines
Familiarity with OpenTelemetry or comparable observability instrumentation in Go services
Familiarity with LLM provider gateway/routing services (OpenRouter or comparable) — model aliasing, rate-limit and timeout handling, and budget enforcement
Experience with data export/reporting tools (Excel generation, CSV pipelines, or BI-style dashboards)
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.
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 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 recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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.
","descriptionPlain":"ABOUT LILT\n\nAI is changing how the world communicates — and LILT is leading that transformation.\n\nWe'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.\n\n 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 https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/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.\n\n\n\nAs part of LILT’s Internal Tools group, you will build and run the tools that LILT's own delivery, contributor-ops, and engineering teams rely on to operate LILT's Applied AI (AAI) benchmarking business — which builds and delivers multilingual benchmarks and evaluation data to frontier AI labs using LILT's global network of subject-matter experts. As the AAI business grows, expect the scope of these platforms to grow in parallel. This platform sits directly on the critical path of paid customer deliverables with real SLAs, maintained by a small, high-leverage engineering team that produces reliable, production-ready tooling. You will own significant surface area across both end-to-end: architecture, data-pipeline design, and the hands-on engineering that keeps this infrastructure reliable. This is a high-impact, high-visibility role: the reliability and craft you bring directly enables on-time, high-quality delivery for some of the most prominent AI labs in the world.\n\n\n\nIn this role, you will drive the long-term technical strategy for internal platforms while working directly with the delivery, ops, and engineering teams across the business who depend on them daily. This team ships cross-service automation in careful stages — advisory first, then assistive, only later decision-relevant, always with a human fallback — and you'll be expected to hold that same bar as you extend these systems. You will partner with a small existing team to raise the engineering bar across two very different runtimes, set technical direction, and make the calls that determine how this infrastructure scales as the business grows.\n\n\n\n\nWHAT YOU'LL DO\n\n - Partner with the benchmarking business's researchers and TPMs to translate new benchmark and data-quality requirements into scoped technical designs\n\n - Own the internal workforce-management tools on our internal platform for AI delivery for hundreds of external contributors: vetting flows, candidate assessment, QC, payment/delivery tracking, and roster/reporting exports\n\n - Own architecture and long-term technical direction across multiple services and the platform\n\n - Extend IAA and audio-QA pipelines: annotator outlier detection, ASR sidecar enhancements, LLM-based QC, and DNSMOS/librosa audio-quality scoring\n\n - Design and ship new modules on the platform that plug new benchmark and vetting workflows into the existing multi-stage review lifecycle\n\n - Own and extend the platform's API key provisioning and budget-governance system\n\n - Build self-serve ChatOps-style automation for the internal engineering org and contributor base to enable accelerated annotator workflows and query resolution\n\n - Harden background worker and job-processing infrastructure\n\n - Set and enforce testing, CI/CD, and deployment practices across both codebases — from unit/integration testing through infrastructure-as-code and release automation\n\n - Raise the technical bar for a small, high-leverage team through code review, design docs, and mentoring as the surface area grows\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED\n\n - 5+ years of professional full-stack software engineering experience, with a track record of owning production systems end-to-end across more than one runtime/language\n\n - Deep experience with a Python backend framework (FastAPI or comparable) plus async SQLAlchemy/Postgres, alongside production experience in at least one statically-typed backend language (Go, Java, or similar)\n\n - Strong React/TypeScript frontend experience — component architecture, state management (Zustand, Redux, or similar), and a modern data-fetching layer (TanStack Query or comparable)\n\n - Experience building and operating background job/worker systems (queue-driven or polling-based) with failure tolerance and idempotency in mind\n\n - Experience integrating with third-party and platform APIs — including the GitHub API, OAuth/OIDC SSO, and at least one LLM API (Gemini, OpenAI, or similar) — handling auth, rate limits, and webhook-driven sync\n\n - Experience building Slack (or comparable chat-platform) bot integrations that automate internal workflows — resource provisioning, approvals, budget/TTL enforcement — with real operational guardrails, not just CRUD features\n\n - Comfort reading and extending applied-statistics or ML-adjacent code (agreement metrics, audio-quality scoring, or comparable data-quality tooling)\n\n - Solid grasp of CI/CD, containerized deployment (Docker, Helm, ArgoCD/GitOps or comparable), and infrastructure-as-code (Terraform or comparable)\n\n - Experience debugging and optimizing native-library (numpy/scipy/onnxruntime-class) memory growth in long-running Python worker processes via safe, boundary-aware process recycling — not just raising memory limits\n\n - Experience building and owning internal platforms/tools that increase leverage for a non-engineering team (research, operations, support, data/workforce management, or similar) — not solely external-customer-facing product work\n\n\nSTRONG PLUS\n\n - Experience with audio/speech pipelines: ASR (Whisper or similar) or audio-quality metrics (DNSMOS, librosa)\n\n - Experience building internal tools for managing a data-labeling, annotation, or crowdsourced-contributor workforce (vetting, QC, payments)\n\n - Experience with inter-annotator agreement or statistical agreement metrics\n\n - Notification and delivery systems experience — Slack bot integrations, transactional email, and idempotent delivery guarantees\n\n - Experience designing abstractions over heterogeneous data sources with different consistency guarantees — e.g. a fully-replayable event history vs. an observe-only current-state API requiring synthesized diffing — behind one common interface\n\n - Experience building ChatOps-style automation — Slack or GitHub PR-comment bot commands that trigger backend workflows or CI/CD runs\n\n - Experience implementing short-lived, rotatable service-to-service JWT auth (key-ID-based rotation, replay-protected tokens, fail-fast config validation) alongside a separate human-facing SSO flow in a paired service\n\n - Comfort owning both sides of a system with genuinely different runtimes without a large team to lean on\n\n - Prior experience as the primary or sole engineer on a small, high-leverage internal platform\n\n\nBONUS\n\n - Experience with LLM-as-judge or LLM-based QA/review pipelines\n\n - Familiarity with OpenTelemetry or comparable observability instrumentation in Go services\n\n - Familiarity with LLM provider gateway/routing services (OpenRouter or comparable) — model aliasing, rate-limit and timeout handling, and budget enforcement\n\n - Experience with data export/reporting tools (Excel generation, CSV pipelines, or BI-style dashboards)\n\n\n\n\nOUR STORY\n\nOur 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.\n\n\n\nLILT 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.\n\n\n\nWith AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.\n\n\n\n\nOUR TECH\n\nWhat sets our platform apart:\n\n - Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent\n\n - Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing\n\n - 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation\n\n - Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review\n\n\n\nLILT IN THE NEWS\n\n - Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!\n\n - LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.\n\n - LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.\n\n - Check out all our news on our website https://lilt.com/news.\n\n\n\n\n\nInformation 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.\n\n\n\nAt 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 recruiting@lilt.com.\n\n\n\nLILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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."},{"id":"680e6a4a-9e62-499a-a791-f3998d057b5e","title":"Data Engineering Manager","department":"Engineering","team":"Platform","employmentType":"FullTime","location":"Indianapolis, IN","secondaryLocations":[{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"Massachusetts","addressCountry":"USA","addressLocality":"Boston"}}},{"location":"Washington D.C.","address":{"postalAddress":{"addressRegion":"District of Columbia","addressCountry":"USA","addressLocality":"Washington D.C."}}}],"publishedAt":"2026-10-07T14:20:42.594+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Indiana","addressCountry":"USA","addressLocality":"Indianapolis"}},"jobUrl":"https://jobs.ashbyhq.com/lilt-corporate/680e6a4a-9e62-499a-a791-f3998d057b5e","applyUrl":"https://jobs.ashbyhq.com/lilt-corporate/680e6a4a-9e62-499a-a791-f3998d057b5e/application","descriptionHtml":"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.
You own LILT's data transformation layer: the dbt layer and warehouse behind every number LILT reports, from Analytics to our LLM/MCP surface to internal dashboards. Metric definitions are often owned by other teams; you implement and keep them consistent. This layer has no owner today; you make it a role.
You lead a new Data sub-team in Platform Engineering, reporting to the head of Platform, as a hands-on player-manager while hiring and growing a Data Engineer and Senior Data Scientist. You hold decision rights over the transformation layer and warehouse and own their cost.
We want to be direct about this role so the right person applies.
You inherit ambiguity. No single owner, pipelines to document and rebuild, and no team until your first two hires; until then you write the SQL, dbt, and Python yourself.
You settle the numbers. Finance, Operations, Production, and Product must trust the same metrics; you keep definitions consistent and say no when needed.
Some things are fixed, most aren't. dbt, a single warehouse, and on-prem parity are non-negotiable; warehouse cost is measured and expected to go down. Everything else is yours to decide, with a written case.
Transformation: dbt on BigQuery
Analytics serving: ClickHouse, Cloud for SaaS, self-hosted on-prem
Sources: MySQL, replicated to BigQuery
ETL/orchestration: Python 3, Argo Workflows on Kubernetes
Consumers: In-app Analytics, Sigma, LILT's Assist agent, LILT's MCP server
Observability: Datadog
Agentic engineering: Claude Code and Cursor, used daily across Engineering
Own the data layer. Implement every metric definition once in dbt, consistent everywhere it's used, partnering with the teams that define them. Business Operations, Production, Finance, and Product get one point of accountability; discrepancies resolve at the definition.
Run the transformation layer and warehouse: every pipeline has an owner, tests, and a known cost; spend is measured and goes down.
Set direction: warehouse strategy, ClickHouse's role, and how the layer is exposed via API and MCP, each backed by a written case.
Build the team: hire a Data Engineer and a Senior Data Scientist, set the charter, and run delivery, quality, and on-call health.
Set agentic engineering practice: define how the Data team uses AI agents to build, test, and review pipelines and models, including where human review is required.
Stay hands-on: read, review, and write the SQL, dbt, and Python your team ships.
People management: 7+ years in data/analytics engineering, including 2+ years managing a small team (2-5), with a track record of hiring and developing ICs.
Hands-on fundamentals: fluent in SQL and Python; has built and run production pipelines and a dbt (or equivalent) transformation layer; comfortable with BigQuery, ClickHouse, Snowflake, or similar.
Cost and roadmap ownership: has owned a warehouse or pipeline budget and reduced it with measurable results; translates business needs into a technical plan and sequences a backlog against limited headcount.
Stakeholder and business metrics: has owned data accountability for finance, operations, and go-to-market stakeholders, and understands B2B SaaS metrics (ARR, ACV, gross margin, on-time delivery) and how definition drift breaks them.
Effective AI use and communication: uses AI tools daily and knows where they help, mislead, and need verification; documents decisions clearly and communicates tradeoffs, risk, and cost crisply to leadership.
Stood up a data function from zero, or revived an abandoned one.
Run dbt in production at scale on BigQuery; operated ClickHouse.
Shipped analytics that runs in both cloud and self-hosted environments.
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.
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 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 recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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.
","descriptionPlain":"ABOUT LILT\n\nAI is changing how the world communicates — and LILT is leading that transformation.\n\nWe'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.\n\n 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 https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/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.\n\n\n\n\nABOUT THE ROLE\n\nYou own LILT's data transformation layer: the dbt layer and warehouse behind every number LILT reports, from Analytics to our LLM/MCP surface to internal dashboards. Metric definitions are often owned by other teams; you implement and keep them consistent. This layer has no owner today; you make it a role.\n\nYou lead a new Data sub-team in Platform Engineering, reporting to the head of Platform, as a hands-on player-manager while hiring and growing a Data Engineer and Senior Data Scientist. You hold decision rights over the transformation layer and warehouse and own their cost.\n\n\nWHAT YOU'RE WALKING INTO\n\nWe want to be direct about this role so the right person applies.\n\n - You inherit ambiguity. No single owner, pipelines to document and rebuild, and no team until your first two hires; until then you write the SQL, dbt, and Python yourself.\n\n - You settle the numbers. Finance, Operations, Production, and Product must trust the same metrics; you keep definitions consistent and say no when needed.\n\n - Some things are fixed, most aren't. dbt, a single warehouse, and on-prem parity are non-negotiable; warehouse cost is measured and expected to go down. Everything else is yours to decide, with a written case.\n\n\nTHE STACK\n\n - Transformation: dbt on BigQuery\n\n - Analytics serving: ClickHouse, Cloud for SaaS, self-hosted on-prem\n\n - Sources: MySQL, replicated to BigQuery\n\n - ETL/orchestration: Python 3, Argo Workflows on Kubernetes\n\n - Consumers: In-app Analytics, Sigma, LILT's Assist agent, LILT's MCP server\n\n - Observability: Datadog\n\n - Agentic engineering: Claude Code and Cursor, used daily across Engineering\n\n\nKEY RESPONSIBILITIES\n\n - Own the data layer. Implement every metric definition once in dbt, consistent everywhere it's used, partnering with the teams that define them. Business Operations, Production, Finance, and Product get one point of accountability; discrepancies resolve at the definition.\n\n - Run the transformation layer and warehouse: every pipeline has an owner, tests, and a known cost; spend is measured and goes down.\n\n - Set direction: warehouse strategy, ClickHouse's role, and how the layer is exposed via API and MCP, each backed by a written case.\n\n - Build the team: hire a Data Engineer and a Senior Data Scientist, set the charter, and run delivery, quality, and on-call health.\n\n - Set agentic engineering practice: define how the Data team uses AI agents to build, test, and review pipelines and models, including where human review is required.\n\n - Stay hands-on: read, review, and write the SQL, dbt, and Python your team ships.\n\n\nQUALIFICATIONS\n\n - People management: 7+ years in data/analytics engineering, including 2+ years managing a small team (2-5), with a track record of hiring and developing ICs.\n\n - Hands-on fundamentals: fluent in SQL and Python; has built and run production pipelines and a dbt (or equivalent) transformation layer; comfortable with BigQuery, ClickHouse, Snowflake, or similar.\n\n - Cost and roadmap ownership: has owned a warehouse or pipeline budget and reduced it with measurable results; translates business needs into a technical plan and sequences a backlog against limited headcount.\n\n - Stakeholder and business metrics: has owned data accountability for finance, operations, and go-to-market stakeholders, and understands B2B SaaS metrics (ARR, ACV, gross margin, on-time delivery) and how definition drift breaks them.\n\n - Effective AI use and communication: uses AI tools daily and knows where they help, mislead, and need verification; documents decisions clearly and communicates tradeoffs, risk, and cost crisply to leadership.\n\n\nPREFERRED SKILLS\n\n - Stood up a data function from zero, or revived an abandoned one.\n\n - Run dbt in production at scale on BigQuery; operated ClickHouse.\n\n - Shipped analytics that runs in both cloud and self-hosted environments.\n\n\n\n\nOUR STORY\n\nOur 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.\n\n\n\nLILT 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.\n\n\n\nWith AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.\n\n\n\n\nOUR TECH\n\nWhat sets our platform apart:\n\n - Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent\n\n - Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing\n\n - 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation\n\n - Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review\n\n\n\nLILT IN THE NEWS\n\n - Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!\n\n - LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.\n\n - LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.\n\n - Check out all our news on our website https://lilt.com/news.\n\n\n\n\n\nInformation 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.\n\n\n\nAt 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 recruiting@lilt.com.\n\n\n\nLILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s 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."}],"apiVersion":"1"}