About NationGraph
NationGraph is building the data and intelligence layer for the public sector.
More than 110,000 state and local government agencies across the U.S. independently publish information about how they operate, what they buy, who they work with, and what problems they are trying to solve. That information is fragmented across millions of websites, documents, databases, procurement systems, meeting records, and public records.
NationGraph turns that information into structured, connected, actionable intelligence for businesses selling to government.
Founded in 2024, NationGraph is dedicated to making uncommon knowledge common, because public data should actually be public.
The Role
We’re looking for a Growth Engineer to own the technical systems behind acquisition, experimentation, analytics, and go-to-market automation at NationGraph.
You’ll work at the intersection of engineering and growth, building the software that helps us reach the right prospects, turn interest into pipeline, and understand what is working. You’ll take ideas from an initial hypothesis through implementation, launch, measurement, and iteration.
A meaningful part of your work will reach customers and prospects directly. We’re looking for a strong engineer with taste: someone who cares about the quality of an interaction, the clarity of the copy, and the details that make an experience feel thoughtful and human.
You’ll work across:
AI-powered outbound and sales automation
Agentic news and content pipelines
Growth analytics and attribution
Landing pages, personalization, and A/B testing
APIs, data pipelines, and GTM integrations
What You’ll Do
Scale our automated SDR infrastructure
Own the systems behind prospecting, enrichment, AI research and personalization, lead qualification, routing, and CRM sync.
Monitor performance and improve the relevance and quality of outreach as we scale.
Develop our agentic news and content pipeline
Iterate on the agents and workflows that power our news and content pipeline.
Experiment with content, formats, and distribution, measuring what earns attention and creates qualified demand.
Own growth measurement
Own PostHog, GA4, Google Search Console, and the broader growth analytics stack, including instrumentation, funnels, attribution, conversion analytics, and reporting.
Connect website activity, campaigns, and CRM data so Growth and Sales can understand what generates pipeline and where prospects drop off.
Ship website experiments
Build landing pages, A/B tests, and personalized experiences that improve acquisition and conversion.
Ship polished experiments directly to thousands of potential customers, with close attention to UX, copy, presentation, and performance.
Connect Growth and Sales
Build lead routing, enrichment, lifecycle tracking, pipeline analytics, and workflow automation across our GTM systems.
Reduce manual handoffs and keep prospect and customer data consistent across tools.
Build the infrastructure behind growth
Own the APIs, data pipelines, dashboards, and agent infrastructure supporting these systems.
Make successful experiments reliable and repeatable, with monitoring that catches failures and data quality issues.
You Might Be a Good Fit If
You’re a strong engineer who can independently ship and maintain production-quality software.
You’re strong in Python and TypeScript and comfortable working across APIs, databases, webhooks, SQL, and third-party integrations.
You’ve built with LLM APIs and understand how to turn AI workflows into dependable systems.
You understand analytics, experimentation, funnels, and attribution, and can use data to decide what to build next.
You have strong product judgment and high standards for UX, copy, and presentation. You notice when something works technically but feels unfinished.
You move quickly, make sensible tradeoffs, and are comfortable turning ambiguous problems into something useful.
You care about the business outcome of your work and follow through after launch to see whether it delivered.
You naturally think about how to turn a successful growth motion into a system that can scale.
We’re particularly interested in backgrounds spanning growth engineering, full-stack product engineering, marketing technology, revenue systems, and AI automation. None of these specific backgrounds are requirements.
Our Engineering Stack
Backend: Python, Go, PostgreSQL
Infrastructure: Redis, Docker, Kubernetes
Frontend: React, TypeScript
AI / ML: LLMs, agents
Growth analytics: PostHog, GA4, Google Search Console
Python and TypeScript will be central to this role. Our stack will evolve, and you’ll help decide how.
What Success Looks Like
More qualified pipeline from the systems you build and improve.
Higher conversion across our acquisition funnels.
Less manual work across Growth and Sales.
Faster experimentation, with clear results that inform the next decision.
More reliable growth data and attribution.
Growth motions that scale while maintaining the quality of the customer experience.
Why NationGraph
Own systems that drive growth
You’ll have significant ownership over how we acquire customers, test ideas, and scale what works.
Build where engineering meets the customer
Your work will span backend infrastructure and experiences that prospects see directly. You’ll shape both how the system works and how it feels to use.
Apply AI to real workflows
Build agents and automation with clear measures of success, from better prospect research to more useful content and faster execution.
Work with exceptional people
You’ll collaborate across Growth, Sales, Engineering, and Research, on a team with backgrounds spanning high-scale infrastructure, quantitative finance, AI, and startups.
Have real ownership
We move quickly and operate with very little bureaucracy. Engineers have significant ownership over technical decisions and business outcomes.
If the idea of building the systems that help NationGraph grow sounds exciting, we’d love to talk.
Skills Required
- Ability to independently ship and maintain production-quality software
- Strong Python skills
- Strong TypeScript skills
- Experience working with APIs, databases, webhooks, SQL, and third-party integrations
- Experience building with LLM APIs and developing dependable AI workflows
- Understanding of analytics, experimentation, funnels, and attribution
- Strong product judgment and high standards for UX, copy, and presentation
- Ability to work quickly, make sensible tradeoffs, and turn ambiguous problems into useful solutions
- Ability to evaluate business outcomes and follow through after launch
- Background in growth engineering, full-stack product engineering, marketing technology, revenue systems, or AI automation
What We Do
NationGraph is transforming public sector sales by unlocking a single source of truth for every government purchase decision. We empower sales teams with real-time insights—covering purchase orders, meeting minutes, procurement rules, and more—so they can bypass endless spreadsheets and focus on building genuine relationships. We provide: Actionable Data: Access organized insights into purchase orders, decision-maker signals, and contract timelines in one platform. Proactive Workflows: Get automated alerts when key events, like RFP releases or upcoming renewals, occur—cutting weeks off your prospecting cycle. Deep Context: Leverage parsed meeting minutes and regulatory insights to understand the “who, what, when, where, and why” behind every transaction. NationGraph is on a mission to make public sector sales more transparent and efficient. We’re here to decode the chaos, empowering you to seize opportunities that others miss. We are backed by public-sector investing veterans like XYZ Venture Capital who have backed industry leaders such as Anduril, Apex Space, and Verkada—along with Reach Capital, Go Global Ventures, and angel investors who have founded and build iconic companies like OpenGov and Clever. Join us as transform how government data is accessed and used and help reshape how the public sector connects with the vendors Learn more or schedule a demo at NationGraph.com We're also hiring exceptional talent in engineering, data science, AI & ML, and go-to-market.
