LILT - Senior Technical Product Manager, Connectors

• Product ownership: A track record of owning a technical product or integration portfolio, setting roadmap priorities, managing tradeoffs, and driving ambiguous work through delivery. • Product ownership: • 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. • Technical depth and a builder mindset: • 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. • AI and Agentic fluency: • Deep integration expertise: Strong understanding of APIs, SDKs, authentication, webhooks, data mapping, file round-tripping, rate limits, retries, error handling, and observability. • Deep integration expertise: • 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. • Strong product judgment: • Customer-facing leadership: Confidence leading technical discovery and troubleshooting with customers and explaining complex topics to localization managers, administrators, and business stakeholders. • Customer-facing leadership: • Clear communication: Ability to produce concise decisions, plans, documentation, status updates, and escalation guidance for technical and nontechnical teams. • Clear communication: • 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 6–12 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 Story • Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born. • LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI. • With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning. • Our Tech • Our Tech • What sets our platform apart: • Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent • Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing • 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation • Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review • LILT in the News • LILT in the News • Featured in The Software Report’s Top 100 Software Companies! • LILT makes it onto the Inc. 5000 List. • LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry. • Check out all our news on our website. • Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. • At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at [email protected].