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Manifest OS in New York City is seeking an experienced software engineer to own and build the marketing and sales tech stack, including customer-facing web experiences, internal apps, and AI agents that drive conversion. This high-ownership role is in person in NYC and emphasizes rapid testing and iteration.
You will own analytics and measurement, reconciling data across Amplitude and GA4, and collaborate with RevOps to turn business questions into trusted answers.
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.
GTM Data & Operations powers Manifest's go-to-market motion across marketing and sales. The team owns the software, automations, and measurement 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.
You’ll build and own the software behind marketing and sales: customer-facing web experiences, internal apps and automations, and AI agents that drive conversion. You’ll own these systems end to end and enable the team to test and iterate quickly.
You’ll also own marketing’s measurement: the reporting, attribution, and journey work that tells the team what’s actually driving conversion. 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 engineering seat, in person in NYC, with room to shape how go-to-market runs as the company scales.
You’re an engineer who wants your code to directly move the business, not sit a layer removed from it. You love shipping, owning mission-critical systems, and turning manual chaos into clean automation. You want to build at the tip of the spear of how AI is reshaping professional services, in person, with a great team.