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Architect and scale the systems powering the revenue engine by designing scalable workflows and AI-powered automations. Manage data flows and integrations across the GTM stack to optimize prospecting and campaign orchestration.
Doppel is building the future of social engineering defense. Our AI-native platform uses agentic AI to protect executives, employees, customers, and brands from phishing, impersonation, fraud, and other AI-powered threats across digital channels. We help some of the world’s most recognized brands detect and dismantle attacker infrastructure while strengthening employee resilience through threat-informed training and simulation. By unifying Digital Risk Protection and Human Risk Management, Doppel connects threats into a real-time intelligence graph to power faster disruption, smarter defense, and modern security awareness at scale.
Backed by leading investors including Andreessen Horowitz and Bessemer Venture Partners, and trusted by leading enterprises, Doppel is a rapidly growing Series C startup building the future of social engineering defense. Our team combines deep cybersecurity expertise, operational rigor, and startup velocity to solve some of the internet’s most urgent trust and safety challenges.
We’re looking for a GTM Engineer to architect, build, and scale the systems that power our revenue engine.
This is not a traditional RevOps role. You will operate with an engineering mindset, treating our GTM systems as a product—designing scalable workflows, building AI-powered automations, and turning messy processes into structured, high-leverage systems.
You will own the intersection of data, automation, and AI across our GTM stack, helping Sales, Marketing, and Customer Success move faster, smarter, and with greater precision.
$150,000 - $200,000 OTE + meaningful equity.
Health, dental, vision, 401(k), and generous parental leave.
Flexible PTO and flexible, remote-first culture.
Fast-growing team with immediate impact and visible results.
A culture that values documentation, data-driven decisions, and simple, scalable systems.
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