Senior Technical Product Manager, Connectors

About LILT

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

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

At LILT we empower our teammates with leading tools global collaboration and growth opportunities to do their best work. Our company virtues Work together win together; Find a way or make one; Dance in the customers 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 were building a category-defining company in a $50B global translation market being redefined by AI.

About the role

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.

Youll combine strong product judgment deep integration expertise and customer-facing leadership to guide the connector portfolio from discovery through launch and ongoing improvement. Youll 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. Youll 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.

What youll do

• 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.

How youll work with the team

Youll be accountable for the connector portfolios product direction priorities readiness and delivery coordination. Engineering owns production implementation and quality while Forward-Deployed Engineering owns customer-specific implementation and field delivery.

Youll 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.

What youll bring

• 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.

Nice to have

• 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.

What success looks like in your first 612 months

• 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 Story

Our founders Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley they both worked on language technology to make information accessible to everyone. While together at Google they were amazed to learn that Google Translate wasnt used for enterprise products and services inside the quality just wasnt there. So they set out to build something better. LILT was born.

LILT has been a machine learning company since its founding in 2015. At the time machine translation didnt meet the quality standard for enterprise translations so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services LILT has prioritized investments in Large Language Models human-in-the-loop systems and now agentic AI.

With AI innovation accelerating and enterprise demand growing the next phase of LILTs journey is just beginning.

Our Tech

What sets our platform apart:

• Brand-aware AI that learns your voice tone and terminology to ensure every translation is accurate and consistent

• Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing

• 100 native integrations with systems like Adobe Experience Manager Webflow Salesforce GitHub and Google Drive to simplify content translation

• Human-in-the-loop reviews via our global network of professional linguists for high-impact content that requires expert review

LILT in the News

• Featured in The Software Reports Top 100 Software Companies!

• LILT makes it onto the Inc. 5000 List .

• LILTs continues to be an intellectual powerhouse holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.

• Check out all our news on our website .

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

Required Experience:

Senior IC