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GTM Engineer

Menlo Ventures

About Manifest Manifest OS is the leading AI-native company on a mission to replace the billable hour and make legal services more accessible for American businesses and consumers. We power the next generation of AI-native law firms with one unified global brand, a proprietary technology platform, and a centralized back office — enabling lawyers to eliminate the administrative burden and focus on delivering exceptional outcomes for their clients. Manifest OS has raised a $60M Series A from Menlo Ventures, Kleiner Perkins, First Round, and Quiet Capital. About The Team GTM Data & Operations powers Manifest's go-to-market motion across marketing and sales. The team owns measurement, reporting, and the systems and automations the GTM org runs on, built on a central data platform owned by a separate team. Small team, company-wide impact: every growth decision runs through this work. About The Role You’ll own marketing's analytics and measurement and build the tooling that acts on it. On the analytics side: the reporting, attribution, and journey work that tells the team what's actually driving conversion, so marketing can launch, measure, and iterate with confidence instead of guessing. On the build side: the apps, automations, and AI agents that put those answers to work, streamlining our partners, webinar and content motion; automating manual reporting and lead-routing; and extending the conversational BI agent so anyone can ask a data question and trust the answer. You’ll build on a centralized data platform, partner closely with RevOps, and treat marketing and sales as your customers. It's an early, high-ownership seat, in person in NYC, with room to shape how go-to-market runs on data as the company scales. What You’ll Do Own marketing analytics and measurement: reporting, attribution, the funnel and journey, so the team sees what's working and iterates Build GTM tooling and internal apps, e.g. operationalize the partner hub (each partner logs in to see their stats, webinar lineup, and personalized content) Automate the manual work, reporting pulls, lead routing, lifecycle and campaign ops, increasingly with AI and agents Own web and product analytics for growth: reconcile Amplitude with GA4, stand up AEO reporting as search shifts to AI answer engines, stitch the full visit-to-signed-case journey Build toward conversational BI: curated datasets and AI-readable docs so anyone can ask a data question and trust the answer (a v1 agent already exists) Partner with the data platform team (owns the warehouse) and RevOps What We're Looking For Strong builder: ships production apps and automations end to end (TypeScript / Python / SQL) AI-native by default: builds with LLMs and agents; bonus for shipped data or AI products Analytical: can own measurement and reporting, strong SQL and BI, turns a business question into a trusted answer GTM/marketing data a plus: CRM, paid media, web and product analytics, attribution Bias to build, scrappy, thrives in ambiguity with high ownership New York City, in-office 5 days/week This is for you if… You want to be at the tip of the spear of a once-in-a-generation shift in how professional services are delivered. You love turning messy, manual work into clean automated systems. You want to own a function end to end at a fast-moving company, in person, alongside a great group of people. This is not for you if… You want to only analyze, not build, this role is both You need a mature platform and clean data handed to you You're looking for remote or hybrid; we build in person in NYC #J-18808-Ljbffr

Vacancy posted 3 days ago
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