GTM Engineer

About the company
Agentplace is building an AI-native workspace where teams create and work with AI agents. Unlike competitors, we're focused on agents from day one, and we're building a full business suite, not just another no-code tool. Based in San Francisco, featured in VentureBeat, USA Today, and Fast Company.

About the role
We're looking for a hands-on GTM Engineer who turns market attention into distribution and users. This isn't generic marketing. We want someone who understands GTM better than the founder, has a feel for the audience, and brings new ideas instead of waiting for instructions. The role focuses on two distribution channels: Content is the main focus. Content has an endless competitive surface: wherever you start, the right approach lets you stand out. Generative Search Optimization (GSO) means getting Agentplace into answers from AI search and LLMs. Someone on the team already leads this; you'll help scale it. You'll work closely with the founder and product team, constantly testing positioning, messaging, and growth channels. There's no dedicated marketing team yet, so you'll own both strategy and execution.

What you'll do
Content and distribution Spot emerging market narratives and turn them into content and clear use cases Run daily distribution on LinkedIn, X, and other relevant channels Publish posts, demos, threads, and short videos Generative Search Optimization Help grow GSO as a channel together with the person leading it Adapt content and narratives for AI search and LLM answers Measure visibility and iterate Growth experiments Constantly test messages, hooks, and narratives Run growth experiments on landing pages, content, and channels Measure results and iterate fast What we're looking for Strong hands-on approach and focus on results Deep GTM expertise: you bring new ideas, not someone else's playbook A feel for the audience and narratives that hook Experience running content distribution for a startup or product Understanding of GSO as a channel and willingness to grow it Ability to turn product features into clear stories and content Understanding of growth loops and an experiment-driven approach Comfort with fast iteration Nice to have Experience in AI, developer tools, or SaaS A track record of growing an audience on LinkedIn, X, or YouTube Experience working with founders on early-stage GTM Ability to make simple product demos or short videos What success looks like Consistent, high-quality content and strong distribution A stronger GSO channel and growing visibility in AI search More inbound interest and new users Clear product narratives grounded in experiments Fast iteration on messaging and use cases Details Format: remote Type: contract Compensation: From $3,500/month

How to apply
To apply, complete a test task. Plan on 3–4 hours. Product. Sign , build an AI agent for any niche, and publish it as public. Use the Luna model, it's free. Content. Create a mini launch for your agent: a LinkedIn post an X thread a demo video up to 60 seconds (Loom or a screen recording) three alternative hooks for the post 3.
GSO. Ask ChatGPT, Perplexity, and Claude three questions where Agentplace should show up in the answer (for example, \"best AI agent builder for small business\"). Note who appears instead of us and suggest what content would get Agentplace into those answers. Send the link to your agent, your content, the video, and your GSO findings to . Bonus: if you actually publish your post, include the link. It's optional, but we'll see your distribution in action. Applications are reviewed by email only. Applications sent through the job board's Apply button, without the completed test task, will not be considered. We review applications quickly and will reach out to successful candidates with an offer.