Gooseworks (YC W23) 正在招聘创始增长工程师。
Gooseworks (YC W23) Is Hiring a Founding Growth Engineer

原始链接: https://www.ycombinator.com/companies/gooseworks/jobs/ztgY6bD-founding-growth-engineer

## Gooseworks 正在招聘创始增长工程师 Gooseworks,一家通过AI“同事”彻底改变增长的新公司,正在寻找创始增长工程师。这是一个实践性很强的工作,适合于精通Claude Code/OpenClaw/Hermes等AI工具,并对增长充满热情的工程师。 工作内容分为两部分,各占50%:**为客户构建和运营AI驱动的增长引擎**(外联、SEO、社交增长等),以及**研发**——将成功的引擎转化为Gooseworks平台的自助服务手册。Gooseworks提供一个用于管理AI团队的产品工作区,以及面向B2B初创企业的“增长即服务”方案。 理想的候选人是具有可衡量结果证明的创业者、高效率增长工程师或代理机构运营者。**精通使用Claude/OpenClaw/Hermes构建代理系统是*必需的*。** Gooseworks最近的成就包括发布了拥有付费客户的产品、数千次注册以及一个蓬勃发展的社区——这很大程度上得益于他们自己的AI同事Goose。他们现在正寻求规模化,需要有人帮助他们以及客户构建、迭代和自动化增长。

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原文

Gooseworks is hiring a Founding Growth Engineer!

This is a builder role for someone who lives in Claude Code / Codex / OpenClaw / Hermes and is obsessed with growth as a craft. Not a typical sales / marketer role.

Half your time goes to building, operating and tuning AI-powered growth engines for customers; the other half goes to R&D — turning what works into self-serve playbooks that Goose agents can run autonomously.


What is Gooseworks

Gooseworks is the workspace where companies stand up and manage teams of AI coworkers that do real growth work — outbound, content, SEO/AEO, Reddit growth, partnerships, UGC, influencer marketing, and more.

Each coworker has its own computer, memory, files, channels, skills, and tools. Our thesis: Growth & GTM work is about to transform the way coding did three years ago. The bottleneck isn't the models — it's orchestration, context, and the workspace these agents live in.

We sell two things:

  1. The product — a workspace where AI coworkers run growth engines. PLG, self-serve.
  2. Growth-as-a-service — bespoke growth engines we configure and run for B2B startups. This is also our learning loop: every customer engine becomes a templatized playbook on the product.

Our wedge ICP is founders, GTM engineers and growth operators at fast growing startups. People who know what good growth looks like and want to execute 10x faster.

About the team

We’re a small team of 3 people that previously built Athina AI, an LLM observability & evaluation platform that was used by companies like Perplexity, You.com, Doximity, Meesho, and several public companies.

Gooseworks is new, only a couple of months old.

In the last couple of months itself, we’ve:

  • built and shipped a product with paying customers
  • attracted thousands of signups and over 50 paying customers
  • built a skill library with 100+ GTM skills that was featured in TLDR newsletter
  • went viral on X over 5 times with 1.5M impressions on socials
  • grown a subreddit to 30k monthly visitors and over 2,000 community members

A large part of this was done by Goose, our AI coworker.

Now we’re scaling what works. More, bigger, better for ourselves and our customers.


What you'll own

Two things, ~50/50:

1. Customer growth engines (50%)

You own customer outcomes. End-to-end. Outbound campaigns, SEO content, Reddit growth, AEO, influencer sourcing — whatever moves the customer's KPI. You build the engine (skills, automations, context, integrations), run it, and iterate weekly with the customer until the numbers move.

The bar isn't "we shipped the engine." It's "the customer hit their KPI."

2. R&D for AI coworkers (50%)

Every customer engine you build becomes a templatized playbook in Gooseworks. You're the loop that turns one-off agency work into self-serve product. You also push the boundaries of what Goose agents can do autonomously — new agent architectures, new skills, new playbooks for channels we haven't cracked yet.

You'll contribute to our public skills repo, ship cornerstone agent systems, and help define what "an AI coworker that runs growth" actually means.


First 7 days

  • Onboard and get to know the team
  • Create skills for our public repository
  • Set up 1-2 useful growth engines end-to-end (for Gooseworks!)

First 30 days

  • Build more growth engines end-to-end.
  • Templatize these into playbooks that customers can configure self-serve.
  • Work with customers to tailor the growth engines for them, identify issues, help guide product feedback, and do whatever is needed to help customers grow their business
  • R&D to experiment with new playbooks we can configure

3 months in

  • You're orchestrating a fleet of AI coworkers to help us and our customers grow.
  • You're helping to solve problems to unblock deals with larger customers

Who you are

If you're one of these, you're probably a good fit.

A. High-signal ex-founder

You raised a seed round and built something real, bootstrapped a profitable business, got acquired by a credible buyer, or personally drove material pipeline / revenue / audience growth at your own startup.

Viral launches and Product Hunt #1s don't clear the bar on their own — those are gameable and one-time. We want evidence of compounding work.

B. AI-native, high-output growth IC

You've personally taken a startup from X → Y on growth, with measurable proof:

  • Revenue you personally drove
  • Audience that converts (not vanity metrics)
  • Pipeline sourced and closed through engineered systems

C. AI-native agency operator

You've run growth-as-a-service for multiple companies. You think in systems, not channels.

Across all archetypes — non-negotiable signals

  • You live in Claude Code / OpenClaw / Hermes. Not "I tried it once." You've built non-trivial agent systems on these tools. This is the single strongest signal we evaluate.
  • AI-native by default. Your first instinct on any task is "how do I get an agent to do this?"
  • Customer-obsessed. You have specific examples of going to absurd lengths to get a customer a result.
  • Adaptable. Priorities will shift week to week, sometimes day to day.
  • High-output generalist. Good taste in design, growth, sales, content. Not a specialist.
  • Hands dirty. Some things can't be automated. You roll up your sleeves and do the work.

This is not for you if...

  • You haven't done real work inside Claude Code / OpenClaw / Hermes
  • You'd rather do the work yourself than teach an agent to do it
  • You want predictable hours roadmap
  • You're optimizing for title or comp ladder over the work

How to apply

We want to know

  • What’s the most impressive growth result you've personally driven?
  • Examples of agentic systems and / or growth engines you've built
  • Anything else you think is impressive and you want us to see
联系我们 contact @ memedata.com