At GrowthX, we’re building the modern growth engine for marketing teams. Since launching in 2024, we've grown from concept to eight-figure annual revenue. To date, we've raised a $12M Series A led by Madrona Venture Group and we partner with 60+ companies ranging from high-growth startups to industry leaders like Lovable, Webflow, Ramp, Superhuman, Strapi, Abnormal Security, and Augment Code.
We’ve built something different: an operating system that unifies powerful AI workflows with forward-deployed experts to transform content into compounding organic growth. We’re building the growth infrastructure marketing teams wish they’d always had — the system that reliably turns context into strategy, strategy into execution, and execution into measurable growth.
AI is reshaping go-to-market. Not just content creation. The entire surface area: product experiences, developer tools, documentation, integrations, research systems.
GrowthX runs a high-end AI product studio for this shift. We build AI agents, custom products, and advanced automations for B2B companies on top of Output.ai, our open-source AI workflow framework. Think Palantir's forward-deployed model, but for GTM.
Recent examples:
For Lovable: An AI agent that creates templates for their product
For Airbyte: An agent that integrates with new connectors and creates docs pages by sending pull requests
For Augment: An entire research site for discovering and cataloging MCPs
This is AI + product development + GTM. We have a team of 5 today. We're growing to ~20. We need someone to lead this expansion.
Team Leadership. Build a team of AI-native forward-deployed engineers and designers. Set technical standards. Run effective 1:1s, invest in each engineer's growth, and give direct feedback. Build a team that clients trust and engineers want to join.
Technical Direction. Define architecture patterns for AI agents and client products. Review code. Make build vs. buy decisions. Push the boundaries of what's possible with Output.ai.
Client Delivery. Ensure the team ships excellent work. Scope technical feasibility early with the sales team. Jump in on complex projects. Solve the hard problems when they come up.
Platform Building. Turn client projects into reusable capabilities. An agent pattern built for one client becomes a template for the next. A custom integration becomes a module in Output.ai. Each engagement should make the next one faster and better. The goal is compounding leverage.
Operations. Run prioritization cycles. Allocate capacity across client pods. Balance urgent client requests with system improvements.
Technical leader who still codes. You can architect AI agents, debug production issues, and review PRs. You're hands-on when it matters. You're not looking for a role where you just manage people and attend meetings.
Product thinker. You don't just build what's asked. You understand the client's problem, propose solutions, and ship products that work. You think about UX, not just architecture.
Experienced people manager. You've built and led engineering teams before. You know how to hire well, give direct feedback, and terminate team members when needed. You've navigated the messy parts of team building.
Client-facing capable. You can sit in a strategy call, understand what the client actually needs, and translate that into a project. You're comfortable with ambiguity and client expectations.
AI-native. You've built with LLMs. You understand prompting, context windows, agent architectures, and the current state of what works and what doesn't. This isn't theoretical for you.
High bar on output quality. AI can generate a lot of code fast — that makes reviewing it more important, not less. You read what it produces, understand it, refactor it, and don't merge output you wouldn't defend in a review. You QA your own work manually before it reaches anyone else.
Pragmatic over perfect. You ship working solutions and iterate based on real usage. You don't over-engineer. You solve the problem in front of you.
Excellent communicator. Writing and verbal. You can explain technical decisions to non-technical people. You document well. You run effective meetings.
Led forward-deployed or professional services engineering teams before
Built production AI agents or LLM systems
Shipped products end-to-end (not just features within a product)
Experience in developer tools, GTM tech, or B2B SaaS
Contributed to or maintained open-source projects
Agency or consulting background with high-touch client delivery
Think First, Build Second. AI made building fast and cheap. Writing code is no longer the bottleneck — thinking is. Before you build anything, invest real time understanding the problem. Study the context. Research what great looks like. Work backwards from the business reason into a detailed plan. The planning can still be fast, but it can't be skipped. Speed without direction is just drift.
Own the Outcome. Freedom and responsibility go together. We own our work, chase down answers, and take initiative. Don't wait for direction. Don't treat your scope as someone else's problem once it leaves your hands. Every one of us shapes the outcome.
Work in the Open. We're a remote company. Nobody can see you work. Share the plan before you execute. Share progress while you execute. A rough plan shared early beats a polished plan shared after the work is done wrong. If leadership has to chase you down to find out what happened, the process already failed.
Chase the Context. Read the docs. Understand the product, the space, the business, the customer. Nobody is going to sit you down and explain everything. The context is there — go get it. We're too small for anyone to just write code without understanding the business.
Move Fast, Stay Steady. Know when to sprint and when to pump the brakes. Don't over-engineer low-stakes tasks. Don't under-think critical ones. That judgment is what makes senior people here genuinely senior, regardless of title.
Process for Context, Not Control. We believe good process exists to share context, not enforce control. It should make smart people faster — not make average teams adequate. If you need Scrum, OKRs, and sprint cycles to keep a team productive, we're probably not the right fit — and that's okay.
Small team. High autonomy. No layers. You'll work directly with founders, engineers, and delivery leads.
30 days: Understand the team, the clients, and Output.ai. Work on one client project yourself. Build relationships with leads and team.
90 days: Own team operations. Improve at least one major process. Make your first hires. Have clear understanding of team capacity and client satisfaction.
6 months: Team is running smoothly at larger scale. Reusable patterns are documented and accelerating implementations. Clients and delivery teams trust the engineering function.
We're not just looking for a resume and a cover letter. We're looking for how you think.
Write a short article (1,000–2,000 words) covering two things:
Your story. What you've built, how you think about engineering leadership, and why this role fits where you're headed.
Growthx%20ai
https://growthx%20ai.com