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 TeamGTM Data & Operations powers Manifest's go-to-market motion: B2C and B2B marketing, sales, RevOps, and finance. A central data platform team owns the data warehouse and the pipelines that feed it (CRM, ad platforms, product, billing). This role turns that foundation into the trusted reporting, attribution, and self-serve insight the business runs on. It’s a small team with company-wide surface area: every growth decision at Manifest, where to spend, which channels work, what a customer is worth, runs through this team’s output.
About the RoleYou'll own Manifest's go-to-market data and operations layer: the reporting, attribution, and workflow automation marketing and sales run on. You'll turn data into trusted, self-serve answers and automate the manual work that slows the team down, partnering with the data platform team that owns the infrastructure. It’s hands-on, high-ownership, and you'll build the function as it scales.
What You’ll DoTurn data into answers: build the reporting, attribution, and dashboards that tell marketing and sales what's working, so the team measures and iterates with confidence
Own one trusted view of revenue, spend, and funnel: define the models and metrics, with the platform team building the pipelines beneath, so everyone works off the same numbers
Automate: replace manual workflows, reporting pulls, lead routing and handoffs, campaign and lifecycle ops, with automated and increasingly AI/agent-driven ones
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 documentation so anyone can ask a data question and trust the answer (a v1 agent on BigQuery already exists to build on)
Run one prioritization queue across marketing, sales, RevOps, and finance, set the delivery cadence and quality bar
5-8+ years across go-to-market analytics and operations, ideally as an early or founding ops/analytics hire who owned it end to end
Strong SQL and BI chops; comfortable building reporting and attribution on a cloud warehouse (we run BigQuery + dbt). You don't need to be a data engineer, the platform team owns the infra
Marketing/GTM ops depth: built and automated workflows in a martech/CRM stack (HubSpot or similar), lead routing, lifecycle, campaign ops
Automation-minded and AI-native: you reach for automation and AI/agents to kill manual work, and you've shipped data products that LLMs or agents consume
GTM measurement: paid media, web and product analytics, attribution
New York City, in-office 5 days/week
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 need a mature platform team and clean upstream data to be productive
You want to be purely a manager or purely an IC, this role is deliberately both
You’re looking for remote or hybrid, we build in person in NYC

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