Technical Content Editor

I'm looking for a Technical Editor to join our amazing content team at Masse
!

Masse is a fast-growing SEO and AEO agency building content campaigns at scale for ambitious tech and healthcare companies. This role will be focused on a few of our more technically demanding clients, covering topics like cloud infrastructure, AI monetization, and conversational AI.

We're looking for someone who can edit for technical audiences (think CTOs, engineering leads, Dev Ops teams), catch AI filler instantly, and keep up with high volume and fast turnarounds.

Big bonus points if you've worked with cloud platforms, AI/ML tooling, or pricing infrastructure before.

Work wherever and whenever you want. As long as you're hitting deadlines and keeping the pipeline moving, how you structure your day is entirely up to you.

We're fully remote and offer unlimited PTO.

Masse is a fast-growing SEO and AEO agency that builds content campaigns at scale for ambitious tech and healthcare companies. Our client roster spans SaaS platforms, AI startups, developer tools, cloud infrastructure providers, and more. We're looking for an editor to own quality across our technical content, making sure every article we publish is accurate, specific, and written at the level our readers expect: CTOs, VPs of Engineering, Dev Ops leads, and other technical decision-makers who will catch every vague claim and unsupported stat.

You don't need to be an engineer. But you do need to understand the space well enough to know when a writer is hand-waving, when a claim needs a source, and when a section needs more depth to be genuinely useful.

This role is focused on a few of our most technically demanding clients: a cloud infrastructure platform that handles data protection and data lake management across AWS, GCP, and Azure; a SaaS monetization and entitlements platform that helps companies manage pricing, billing, and usage control for AI products; and a YC-backed startup building automated QA and testing tools for conversational AI agents.

The content you'll be editing covers topics like cloud backup architecture, multi-cloud strategy, usage-based billing models, API entitlements, voice AI reliability, and LLM evaluation workflows. If those topics excite you (or at least don't scare you), keep reading.

• Edit 15-20 articles per week covering cloud infrastructure, SaaS billing and monetization, conversational AI, and related topics, turning rough drafts into content that outranks whatever's currently at #1.
• Fact-check relentlessly: verify stats, confirm claims against official docs and authoritative sources (AWS documentation, vendor change logs, published benchmarks), check that products and pricing are current, and flag anything that doesn't hold up.
• Strip out AI patterns and generic filler. If a draft reads like it was generated and lightly skimmed, send it back with clear, actionable feedback on what needs to change.
• Guide writers toward better work through constructive feedback that helps them improve over time.
• Track progress in Asana, keep client content pipelines moving, and communicate with clients in Slack when needed.
• Collaborate closely with the managing editor and content leads to maintain editorial standards across the board.

• Native-level English.
• A solid understanding of technical subjects. You should feel confident reading drafts about cloud infrastructure, SaaS architecture, and AI tooling, and know how to guide writers when something doesn't quite land.
• Experience editing for technical audiences: engineering leaders, CTOs, VPs of Product, Dev Ops and platform teams, or similar.
• Strong SEO knowledge, particularly on-page optimization, content structure, keyword placement, and what makes an article actually perform in search.
• Familiarity with AI-generated content and the specific patterns it produces. You know what AI writing looks like and you know how to fix it.
• Prior agency or startup experience. You're comfortable with high volume, fast turnarounds, and managing multiple clients without dropping quality.
• Ability to work fully remote, hit consistent deadlines, and manage your own workflow across a busy editorial pipeline.
• Bonus: hands-on experience with cloud platforms (AWS, GCP, Azure), SaaS billing or pricing infrastructure, or AI/ML tooling. You don't need to have built these systems, but if you've worked with them, administered them, or written about them before, you'll ramp up significantly faster.

Skills and experience matter, but so does how you work. We're a small, fast-moving team and the people who do best here tend to share a few things in common.

Quality obsessed. You take pride in the details. A broken link, a stat without a source, a paragraph that says nothing, those things bother you. You don't ship work you're not proud of, and you hold the people around you to the same standard.

Self-directed. We're fully remote and async-first.…