Hatchet is a distributed, fault-tolerant task queue designed to solve scaling problems like concurrency, fairness, and rate limiting. Our mission is to provide developers with a simple, powerful, and reliable way to distribute and manage background tasks and workflows, enabling them to focus on building great applications.

As multi-time YC founders and CTOs, we have felt the pains of managing complex background tasks and workflows ourselves. We have a transparent, collaborative, and fast-paced culture with a flat organizational structure.

We’re engineers building for engineers. We work closely with our customers in slack to understand their needs and help them achieve their goals. We’re solving the hard infra and architecture problems that are as rewarding as they are thought provoking. Here’s an example of a problem we’ve recently drilled into: https://docs.hatchet.run/blog/multi-tenant-queues.

Developer Relations Engineer @ Hatchet

Hatchet is a code-first orchestration engine used by companies to run AI workloads at scale.

Modern LLM-native workloads break traditional infrastructure. Long-running LLM calls timeout your APIs, massive contexts crash your workers, parallel jobs flood your queues. Hatchet handles the complexity so developers can focus on features:

⚡️ real-time AI agents
⏰ long-running jobs that recover gracefully
🌊 massive parallel workloads that scale

We're 100% open source, processing billions of tasks for scale-ups and enterprises, backed by Y Combinator, and growing fast.

So far, our growth has been organic through a few Hacker News posts and word-of-mouth, but we're ready to scale up and show the world what's possible with modern low-latency async job processing, especially in AI systems. That's where you come in.

Why this role matters

We're at an inflection point. The AI explosion is creating massive demand for orchestration that can handle the new problems introduced by LLMs without the infrastructure headaches. We're fortunate to work with hundreds of scaling AI companies and some of the top research labs with a front row view to new problems and patterns to solve them.

As our first Growth Engineer, you'll be the architect of our growth engine, building the systems and experiments that turn our organic momentum into scalable, predictable growth. You'll work directly with product usage data, conversion funnels, and user behavior to unlock growth opportunities that traditional marketing can't reach.

You'll have the opportunity to define our growth strategy from the ground up while working directly with two 2x YC technical founders.

What you'll do

Build Growth Infrastructure

• Design and implement analytics, experimentation, and growth tracking systems
• Build tools for testing onboarding flows, activation sequences, and feature adoption
• Create automated systems for user segmentation, cohort analysis, and retention measurement

Optimize the Developer Journey

• Analyze the entire funnel from first GitHub visit to production deployment
• Identify and eliminate friction points in signup, onboarding, and time-to-value
• Build and optimize in-product experiences that drive activation and engagement

Growth Experiments

• Design and run experiments across acquisition, activation, retention, and referral
• Build growth features like referral programs, usage-based notifications, and viral loops
• Implement and iterate on PLG (product-led growth) motions specific to developer tools

Data-Driven Growth

• Build dashboards and reporting to track key growth metrics and user behavior
• Analyze user patterns to identify expansion opportunities and churn risks
• Use data to inform product decisions and prioritize growth initiatives

Channel Optimization

• Build systems to optimize our organic channels (GitHub, docs, community)
• Implement attribution tracking and conversion optimization across all touchpoints
• Create automated nurture sequences based on user behavior and engagement

You might be a fit if

• You're technical first. You can build full-stack applications (Python, TypeScript, or Go) and understand developer workflows intimately
• You think in systems. You see growth as an engineering problem requiring experimentation, measurement, and iteration
• You're data-driven. You're comfortable with analytics tools, SQL, and can derive insights from complex user behavior data
• You understand PLG. You know how developer tools grow differently and can build growth motions that feel authentic to technical users
• You move fast and measure everything. You're comfortable shipping experiments quickly and learning from the results

Requirements

• Hands-on engineering experience (TypeScript, Python, or Go)
• Growth engineering or product analytics experience. You've built systems to measure and optimize user funnels
• AI domain exposure. You understand modern AI infrastructure challenges and developer pain points
• Data analysis skills. Comfortable with SQL, analytics tools, and deriving insights from user behavior

Bonus points for

• Experience at a PLG company or developer tools startup
• Background in experimentation platforms, analytics infrastructure, or growth tooling
• Have used (and loved) Hatchet or have experience with job queues, event-driven architectures, or distributed systems
• Contributions to open source projects or active in developer communities

What we offer

• $130k-$170k base compensation + meaningful equity in a fast-growing startup
• Full benefits package including premium healthcare and unlimited PTO
• Growth tools budget for analytics platforms, experimentation tools, and growth software
• Conference budget for growth and product conferences
• Remote-friendly with optional NYC office access, but regular travel to events or company on-sites
• Direct impact. Your experiments and systems will directly drive our growth trajectory

Who you'll work with

We're a small team of 4: Alexander (previously founded Porter YC S20, multi cloud infrastructure) and Gabe (previously founded ClearMix YC S20, distributed remote video production), plus 2 founding engineers. We're obsessive about building the developer experience we've always wanted and believe that growth engineering is key to scaling our impact.

We move fast and use what we ship. Everyone in the company shares in support, where we're constantly improving the product based on feedback and relationships with our customers. If you're excited about building the growth systems that will power the next generation of AI orchestration, we'd love to hear from you.