GTM Engineer

About LILT AI is changing how the world communicates — and LILT is leading that transformation. We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting‑edge AI, machine translation, and human‑in‑the‑loop expertise to translate content faster, more accurately, and more cost‑effectively without compromising on brand, voice, or quality. At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide everything we do.

This role has a cross‑functional mandate by design. The systems that matter most right now sit on the Sales and RevOps side as much as the Marketing side: Account routing, the lead‑to‑opportunity process, ADR-facing tooling, signal scanning for the reps. You’ll have explicit standing to audit, redesign, and rebuild AI workflows across all of our growth systems.

We’re building a world‑class team and we’re looking for ambitious, curious people who want to grow fast, work with seasoned operators, and help shape the future of AI and language. Whether it's crafting compelling narratives, launching new capabilities, running high‑impact campaigns, or engineering the systems underneath all of it, we move fast, think big, and care deeply about quality. If you’re excited about AI, language, and building a category‑defining company, you’ll thrive here.

This high‑impact, hands‑on role is responsible for owning LILT's agentic GTM systems: proposing, designing, building, and maintaining the AI‑driven tools and automations that power our go‑to‑market engine, including our Clay‑based enrichment and outbound workflows. You'll also play a critical role in optimizing our go‑to‑market technology stack, streamlining our lead‑to‑opportunity process, and helping to maintain day‑to‑day department operations.

Key Responsibilities:

• Agentic business systems integration. Propose, design, build, and maintain agentic AI tools and automations that connect and orchestrate our GTM stack end-to-end, reducing manual work and increasing the speed and reliability of our lead‑to‑revenue motion.
• Own Clay and the automation stack. Serve as our resident expert on Clay (and similar enrichment/orchestration tools), building and maintaining tables, waterfalls, and workflows that keep our data accurate and our outbound motion running.
• Salesforce lead-to-opportunity. Partner closely with RevOps to own the workflow from a new lead entering the system, through the various lead stages, and converting to an opportunity, including routing, assignment, and the rules that decide who works what.
• Full‑funnel ownership. Design and optimize the entire lead funnel, from top-of-funnel acquisition through MQL to SQL handoff, driving higher conversion and increased velocity.
• Lead and contact data integrity. Work with internal tools and external vendors to maintain a high quality database of contacts across our target industries and personas.
• Partner with Sales. Align tightly with revenue leadership to define pipeline goals, campaign targeting, SLAs, and lead management workflows.
• Fuel growth. Partner closely with the demand gen team to drive multi-channel campaigns across email marketing, webinars, paid media, SEO, events, outbound motions, and ABM to meet ambitious growth targets.
• Use data to scale. Build a data‑driven culture. Forecast, measure, and communicate program results, continuously optimizing for ROI and CAC efficiency.
• Collaborate cross‑functionally. Work across demand gen, product marketing, ADRs, and sales ops to build cohesive, conversion‑optimized systems and campaigns.
• Department operations. Help with department‑level planning for things like managing campaign budget, team meetings and activities, and annual planning.
• Documentation and knowledge continuity. Maintain living documentation (Notion) for every agent and workflow you own, to a standard where a new team member or another AI agent could pick up ownership without a live handover call.

Skills And Experience:

• 3-5 years in B2B SaaS or AI/ML go-to-market engineering, RevOps, or marketing operations, with a track record of building automations that actually ship.
• Hands-on Clay expertise. You've built waterfall enrichment, scoring, and routing in Clay (or a comparable tool).
• Agentic AI and automation fluency. Comfortable proposing, designing, and building agentic workflows and integrations using APIs, webhooks, and orchestration tools.
• Working proficiency in Python/other languages for building and maintaining AI agent pipelines.
• Strong Salesforce fundamentals. You can build reports, understand the object model and the automation layer.
• A point of view on where AI in GTM is heading.
• Obsessed with the metrics that matter: MQLs, pipeline, bookings, funnel conversion, velocity, CAC, and ROI.
• Familiarity with marketing automation platforms (HubSpot or similar) a plus.
• Ability to build relationships and work cross-functionally.
• Smart, curious, and hard-working.
• Natural collaborator and communicator, comfortable presenting to executives, boards, and cross-functional stakeholders.

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.