The opportunityGalileo AI watches every session replay, support ticket, customer call, and product change, then tells engineers what broke, why, and what to do next. It runs via MCP in Claude, Cursor, ChatGPT, and Gemini, in Slack, in Teams, and inside LogRocket itself. None of our competitors can demo this. You'd be the person who shows engineers what it actually means to have an AI agent sitting next to your code that knows what your users are doing.
That's the hook. The broader job is being the technical face of LogRocket for engineers, building on a content platform that already has serious audience and earned authority.
There's a real strategic problem to chew on here too. The classic developer blog model, high-volume SEO content for frontend frameworks, is getting squeezed by AI search and LLM-generated answers. The LogRocket blog has the audience, brand equity, and domain authority. The question is what it becomes next. Opinionated takes, deep technical investigations, content tied to a real product with proprietary data, video, podcast, community. That's part of the job.
Responsibilities:- PodRocket end to end: editorial/guest strategy, prep, interviewing, direction. Sound engineering is external, video clips and YouTube production are handled by our video team. You drive the show.
- The LogRocket blog's next chapter: editorial direction, the standard for what we publish, and the shift from pure SEO plays to content that compounds in an AI-search world.
- Technical content across video, written, and code: tutorials, sample apps, walkthroughs, integration guides, posts on Galileo, session replay, and AI in dev workflows.
- The feedback loop and developer community engagement between the developer community (both those using LogRocket and not) and our product and engineering teams.
- Your own technical presence on YouTube, X, GitHub, wherever you already built. We expect you to grow your personal brand alongside LogRocket's, the way Lee Robinson did at Vercel. PodRocket, the blog, and LogRocket YouTube are home base. Your handles are yours.
Qualifications:- Strong engineering background. You've shipped real code in production, ideally across modern web stacks (React, Vue, Angular) and at least one backend (Node, Python, Go).
- A track record of technical content that engineers actually watch, read, or listen to. Portfolio matters more than credentials.
- Comfort on camera and on mic. PodRocket is the immediate proof point but this role is going to be on video constantly.
- Real interest in AI as a builder, not just a user. You've poked at MCP, you have opinions on agent design, you've shipped something AI-flavored that you're proud of.
- Editorial instincts. You can own a calendar, set a quality bar, and decide what's worth publishing and what isn't.
- Comfortable in a startup, comfortable working directly with founders and engineering leaders.
The Setup:- Boston preferred, NYC secondary, remote possible for the right person. If you're in Boston or NYC, plan on a couple days a week in office. Our video team is Boston-based.
- Reports to VP Marketing with heavy daily collaboration with Engineering and our technical founders. Your success metrics are audience growth, content quality, and product engagement from developers.
- Path to building a team if the thesis lands.
Benefits & Perks- Catered lunch and an impressive array of your favorite snacks (healthy AND non-healthy!)
- Unlimited vacation policy
- Health, Dental, Vision benefits, 401k, commuter benefits
- Generous stock options
- Regular team outings and activities (from boat rides to paintball, we'll try anything!)
$155,000 - $265,000 a year
This range is intended to provide a guideline for our typical compensation and may be modified based on location or experience of our finalist candidate. This role is scoped at Sr. or Staff Engineer level depending on experience.
