Software Engineer (Growth)

NationGraph is building the data and intelligence layer for the public sector. It turns fragmented public sector information from more than 110,000 state and local government agencies across the U.S. into structured, connected, actionable intelligence for businesses selling to government. The Growth Engineer will own the technical systems behind acquisition, experimentation, analytics, and go-to-market automation, working at the intersection of engineering and growth to reach the right prospects, turn interest into pipeline, and understand what is working. The role spans AI-powered outbound and sales automation, agentic news and content pipelines, growth analytics and attribution, landing pages, personalization and A/B testing, and APIs, data pipelines, and GTM integrations. Our engineering stack includes Python, Go, PostgreSQL, Redis, Docker, Kubernetes, React, TypeScript, LLMs, agents, PostHog, GA4, and Google Search Console.

Responsibilities

Scale automated SDR infrastructure, including prospecting, enrichment, AI research and personalization, lead qualification, routing, and CRM sync; Monitor performance and improve the relevance and quality of outreach as the company scales; Iterate on the agents and workflows that power the news and content pipeline; Experiment with content, formats, and distribution, measuring what earns attention and creates qualified demand; Own PostHog, GA4, Google Search Console, and the growth analytics stack, including instrumentation, funnels, attribution, conversion analytics, and reporting; Connect website activity, campaigns, and CRM data so Growth and Sales can understand pipeline generation and prospect drop-off; Build landing pages, A/B tests, and personalized experiences that improve acquisition and conversion; Ship polished experiments directly to prospective customers with attention to UX, copy, presentation, and performance; Build lead routing, enrichment, lifecycle tracking, pipeline analytics, and workflow automation across GTM systems; Reduce manual handoffs and keep prospect and customer data consistent across tools; Own 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

Requirements

Strong engineer who can independently ship and maintain production-quality software; Strong in Python and TypeScript; Comfortable working across APIs, databases, webhooks, SQL, and third-party integrations; Has built with LLM APIs and can turn AI workflows into dependable systems; Understands analytics, experimentation, funnels, and attribution, and can use data to decide what to build next; Strong product judgment and high standards for UX, copy, and presentation; Moves quickly, makes sensible tradeoffs, and is comfortable turning ambiguous problems into something useful; Cares about business outcomes and follows through after launch to see whether it delivered; Thinks about how to turn a successful growth motion into a system that can scale

Nice to have

Growth engineering background; Full-stack product engineering background; Marketing technology background; Revenue systems background; AI automation background; Experience with Go, Redis, Docker, Kubernetes, React, PostgreSQL