Content Systems Architect

CoLab
Canada, RemotePosted 18 March 2026

Tech Stack

Job Description

About CoLab At CoLab, we want to help mechanical engineering teams bring life-changing products to the world years sooner. Our customers include the world’s largest, most advanced manufacturing companies – like Ford, Johnson Controls, and Bombardier. We build AI and collaboration software that helps product development teams complete better, faster design iterations. Any time an engineer needs to make a design decision, they open CoLab. They can visualize and compare designs, discuss them with other people, track comments, and get AI-powered suggestions based on their organization’s collective technical knowledge. About the Role We’re investing in a small number of high-quality, recurring content series that serve engineering leaders and technical decision-makers. As Content Systems Architect, your job is to own the execution and growth of those series — not by writing content yourself, but by building AI-powered systems. You’ll work closely with our CMO to define the guardrails and positioning for each series. From there, your role is to turn that vision into a repeatable production engine. That means thinking like both a media producer and a systems designer. For each series, you’ll map the production workflow: Where ideas come from How we capture expertise from SMEs How content is structured and written How it’s distributed and improved over time Then you’ll work with our internal AI and GTM systems team to design and operationalize a team of agents that support those steps. Once the system is running, you’ll act as Editor in Chief: orchestrating AI agents and applying editorial judgment across outputs. Ultimately, each series is a product, and you own the outcomes. Success means growing an audience for each series, and growing CoLab’s brand in the process. Our Ideal Candidate You want to own something that matters: not random blog posts, not “supporting content.” A flagship series — the kind that builds a brand. You look at Gong Labs or Carta’s Data Desk and think: I want to be the person who owns that. You’ve created content yourself, so you know what good looks like. But you’re just as excited about building AI-powered systems that help you ship better content (and more of it). At CoLab, you’ll have access to strong subject matter experts, real company buy-in, and an internal team building AI-powered go-to-market systems. You’ll collaborate with them to design the workflows that power your series. If you want to get paid to build the AI-driven content system that other B2B SaaS companies spend the next 5 years copying, this is that opportunity. Job Responsibilities Own the execution and growth of two flagship content series Work with the CMO to refine positioning, format, and audience strategy Design repeatable workflows for content production and distribution Collaborate with the internal AI/GTM systems team to implement AI-powered production workflows Direct the process of generating insights from SMEs, research, and internal data Evaluate and refine AI-generated outputs to maintain a high editorial bar Coordinate across Product Marketing, Demand, Design, and external partners Develop distribution strategies that grow audience engagement over time Track performance and continuously improve the system behind each series Qualifications 4+ years experience in content marketing, editorial, or media roles Proven track record of producing high-quality B2B content Strong editorial judgment and ability to recognize compelling narratives Experience working with technical subject matter experts Systems thinker who can break complex work into repeatable workflows Strong project management and organizational skills Curiosity about AI and how it can transform content production Bonus: Experience marketing to engineering, manufacturing, or technical audiences Experience running recurring content programs or editorial series Familiarity with AI tools or workflow automation tools Experience worki ... (truncated, view full listing at source)
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