GTM Engineer
yeet
GTM Engineer
yeet
Real-time kernel observability with eBPF
yeet is built by a tight-knit group of systems, observability, and kernel nerds who refuse to accept “mystery outages” as normal. We’re a small, high-impact team with domain expertise in Linux, eBPF, performance instrumentation, and developer tooling.
We move fast, ship often, and take deep ownership. If you enjoy operating close to the metal, building tools that real engineers lean on during 3 AM incident sprints, and solving hard problems with minimal overhead, you’ll feel right at home here.
We’re looking for a GTM Engineer to design and build the systems that drive adoption of yeet.
You’ll sit at the intersection of growth and engineering, using code to hack GTM and turn ideas into measurable impact — wiring up the data flows and feedback loops that get developers into the product and keep them there.
This isn’t a “throw up some landing pages” role but rather it’s about building the backend and frontend glue that powers signup flows, activation loops, referral mechanics, usage tracking, billing experiments, and integrations with the tools devs already use.
You’ll partner closely with product, marketing, and sales, but your deliverables look like code: pipelines, dashboards, scripts, APIs, and experiments that make the GTM funnel hum.
You’re a builder who’s as comfortable shipping production code as you are sketching out growth experiments.
You understand developer tools, SaaS funnels, and the messy edge cases that come with signup, auth, billing, and usage tracking.
You think in systems: you can design pipelines and feedback loops that tie product usage back to GTM strategy.
You’re pragmatic and know when to duct-tape an MVP together to test a hypothesis, and when to harden something for scale.
You love using code to hack growth — whether that’s automating workflows, instrumenting analytics, or wiring up clever integrations that surprise and delight developers.
Experience with analytics / growth tooling like PostHog, Amplitude, Segment, or Mixpanel.
Familiarity with billing & monetization systems (Stripe, usage-based billing, subscription management).
Comfort working across frontend and backend — e.g., Next.js, React, Node, or Python micro-services.
Hands-on experience with data pipelines (Kafka, BigQuery, DuckDB).
Prior work building developer-facing signup and onboarding flows.
Knowledge of experimentation frameworks (A/B testing, feature flagging).
Exposure to PLG (product-led growth) tactics: Activation loops, referrals, self-serve funnels.
Bonus points if you’ve worked on developer ecosystem integrations (GitHub, Discord, Slack, Docker, Tailscale).
Yeet offers a real-time system observability platform built on eBPF that lets engineers inspect Linux kernel behavior in the moment using customizable probes and policies, with JavaScript scripting. It collects kernel events via eBPF, streams live data to the browser, and stores it in a local DuckDB so you can run SQL queries; users manage probes and visualize outputs through a CLI, YPM, and a web interface, with probes executing in secure V8 isolates. Unlike traditional tools that rely on logs and metrics after the fact, Yeet provides live, kernel-level visibility and remote deployment capabilities. The goal is to give site reliability engineers and system administrators immediate answers to performance questions and enable live troubleshooting when dashboards aren’t enough.
Explore more opportunities at yeet