Level

yeet

GTM Engineer

AI in this role

About yeet

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.

About the role

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.

About you
  • 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.

Nice To Haves

  • 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).

How we score this

GTM Engineer at yeet scores 45 out of 100 on AI centrality, which makes it AI Level 2 of 4 (Uses AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 2. An ordinary role whose duties require using AI tools, such as coding, writing or sourcing with an assistant.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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