About Discovered Labs
At Discovered Labs we work with $10M - $50M ARR companies to help them get more leads, users and customers from Google, Bing and AI assistants such as ChatGPT, Claude and Perplexity.
We approach marketing the way engineers approach systems: data in, insights out, feedback loops everywhere. Every decision traces back to measurable outcomes. Every workflow is designed to eliminate manual bottlenecks and compound over time.
High-level overview of our approach:
- Data-driven automation: We treat marketing programs like products. We instrument everything, automate the repetitive, and focus human effort on high-leverage problems.
- First principles thinking: We don't copy what others do. We understand the underlying mechanics of how search and AI systems work, then build solutions from that foundation.
- Full-stack ownership: SEO and AEO rarely work as isolated tasks. We work across the entire funnel and multiple surface areas to ensure we own the outcome and clients win.
The Team
We're a deeply technical team building the SpaceX of the AEO & SEO space. You'll work alongside engineers who have built fraud engines powering Stripe, Plaid, and Coinbase; developed self-driving car systems at Aurora; and conducted AI research at Stanford. We don't have layers of management. You'll work directly with founders who can go deep on architecture, code, and product.
This Role
We're looking for a Senior Engineer to own the development and delivery of some of our core product infrastructure. You'll work directly with the CTO to build client-facing dashboards, AI visibility tooling, and automated content and outreach systems.
This is a high-ownership, hands-on role. You'll take feature specs from idea to production, own the quality of your releases, and help us ship faster without sacrificing reliability. If you thrive on building products that matter, not just writing code, this is for you.
What You'll Do
- Build client-facing products: Design and ship deep analytics dashboards to uncover insights in AI search performance in a data-driven manner, all the way to mechanism interpretability of these LLMs.
- Develop AI-powered tooling: Extend our internal systems into public-facing products, including automated reporting and intelligent workflows.
- Own the full lifecycle: Take features from spec to production, monitor reliability, and iterate based on feedback. You own what you build.
The Ideal Person for This Role
- A builder who ships. You care about getting working software into users' hands, not endless planning or polish. You've shipped products people actually use.
- An owner. You take responsibility for outcomes, not just tasks. When something you ship breaks, you fix it.
- Humble and curious. You acknowledge what you don't know, ask good questions, and genuinely want to learn. You take feedback as a gift, not a threat.
- A first-principles thinker. You understand why things work, not just how. You can go five levels deep on technical decisions.
- Always improving. You're not satisfied with "good enough." You actively seek ways to get better at your craft and make systems better over time.
Requirements
- 4+ years of professional software engineering experience
- Strong full-stack skills (TypeScript, React, Next.js, Python)
- Track record of taking briefs and shipping robust, production-ready code without heavy hand-holding
- You don't just build features. You leave the codebase better than you found it.
- Comfortable with data modeling, API design, and pragmatic architecture decisions
- Excellent written communication
- Preferred Qualifications
- Experience with AI/ML or LLM model finetuning, evaluation, or large-scale production deployments
- Prior experience at a fast-moving startup or agency
What's in It for You
- Fully remote position
- Work directly with the CTO on high-impact projects
- High ownership and autonomy. No micromanagement.
- First-hand exposure to cutting-edge AI and search technology
- Your work will directly impact well-known (10M+ ARR) companies’ performance
- Join a fast-growing company at the intersection of AI and marketing
Our Hiring Process
- Application
- Take-Home Project
- Technical Deep Dive
- Leadership Interview
- Reference Checks
