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Latin America | Remote
Remote only
Full-Time (40 hours/week) | Fully Remote
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The company builds an AI-driven platform for DevOps, enabling autonomous operations across cloud infrastructure, site reliability, and observability. The platform focuses on AI-powered SRE, infrastructure automation, and observability — helping engineering teams eliminate manual bottlenecks and operate at scale.
The company is scaling rapidly across product, market presence, and its sales team. This role is central to the pipeline engine that supports that growth.
Content is how the company reaches the engineers, SREs, platform teams, and technical leaders who need what we build. It drives discovery, shapes perception, and earns the attention of the people who decide we’re worth a closer look. As Content Marketing Manager, you own that content engine — from creation through to distribution — across every channel where our audience learns, searches, and forms opinions.
This role has two equally weighted halves:
• Creating content that resonates with technical audiences — posts, articles, scripts, narratives, and short-form pieces that land because they’re written by someone who understands the world they’re written for.
• Making sure that content travels — reaching the right people, in the right channels, at the velocity a fast-moving company needs.
To operate at that scale, this role owns the AI-powered workflow systems that turn a single piece of source material into channel-appropriate content across every surface where the company needs to show up. Building, running, and evolving those systems is a core part of the job — not an add-on.
You will work daily with our Product Marketing function, Technical Marketing Engineers, executive team, and engineering and product leadership across all three of our market segments. This is a senior individual contributor role — no direct reports, high ownership, high impact.
You originate, build on, and orchestrate all content the company puts into the market:
• Original market-perspective content — pieces where the company has a point of view worth sharing (e.g. the shift toward agentic operations). This includes major owned research projects: our State of Reliability 2026 survey — analyzing over 50,000 incidents — is an example of the kind of project this role originates and owns end-to-end.
• Channel-native content — LinkedIn posts, newsletter content, social threads, scripts, and short-form video that keep the company consistently present.
• Content built on technical work — translating deep material from our Technical Marketing Engineers and positioning from Product Marketing into content that lands across channels and personas.
• Executive thought leadership — turning the expertise of our CEO, CPO, and engineering leadership into a consistent, credible external presence.
• Editorial standards — establishing and maintaining voice, tone, and quality bar for everything published under the the company brand.
You make sure the company content reaches the right people, wherever they spend time:
• Social platforms — LinkedIn as the primary surface for company and individual presence, plus other networks where DevOps and SRE practitioners gather.
• Engineering communities — Discords, Slacks, Reddit, Hacker News, CNCF forums, and other practitioner spaces, with content that earns credibility rather than imposes on it.
• Video platforms — YouTube and other channels where our audience learns and evaluates.
• Owned channels — the the company website, email and newsletter programs, and resource and video library.
• Earned media and guest contributions — supporting placements in publications our buyers actually read, and coordinating opportunities for the company team members to contribute.
• Search and AI discovery — working with the broader marketing team to ensure content is structured for both SEO and AEO (AI Engine Optimisation), so it surfaces in traditional and AI-assisted discovery.
Operating across this many channels at velocity is only possible with serious AI leverage. You’ll own the workflow systems that make it work:
• Building and evolving AI-assisted content workflows that turn source material into channel-appropriate output at scale, with human-in-the-loop quality control.
• Designing systems and skill-based prompts that produce consistent voice and quality across formats.
• Continuously improving the workflow stack as the team grows and AI tooling evolves.
• Acting as the in-house standard-setter for what good AI-augmented content production looks like.
the company’s engineers, product team, and leaders are doing work worth talking about. You make sure it travels:
• Coaching and supporting team members on building consistent external voices, particularly on LinkedIn.
• Helping engineering and product translate what they’re building into stories that resonate externally.
• Identifying and building relationships with credible external voices in the DevOps, SRE, and cloud-native space — for joint posts, podcast appearances, and community presence.
• Demand generation — supplying content that powers paid, outbound, and lifecycle programs; feeding performance data back into what you create next.
• Events — pre-event, at-event, and post-event content that extends the reach of field activity.
• Analytics — tracking content performance across channels and using that data to direct effort.
• Ecosystem fluency in the DevOps, SRE, or platform engineering world — you know the audiences, the conversations, and what credibility looks like in these communities. In practice: you understand concepts like DORA metrics, the platform engineering vs. SRE debate, or how teams think about observability and incident management. You don’t need to have been an engineer; we have Technical Marketing Engineers for deep technical expertise. What we need is the ability to engage with that world on its own terms.
• A strong content instinct — you can tell what will resonate with a technical audience and what won’t, and you can produce content that lands rather than content that just exists.
• Multi-channel distribution craft — you understand how content behaves differently on LinkedIn vs. in a community vs. on a blog vs. in email, and you can make the same source material work across all of them.
• Genuine AI fluency at the workflow level — you build and operate AI-assisted systems, not just use AI tools occasionally. You’re comfortable owning a workflow stack that produces content across many formats and channels at velocity.
• Hands-on fluency across modern content marketing tools — our current stack includes HubSpot, Google Analytics, Google Search Console, Canva, Claude, ChatGPT, Perplexity, and AirOps. We expect comfort across this kind of toolset and active engagement in evolving it as the space changes.
• A reach orientation — you think about where the right people are, what they pay attention to, and what the company needs to do to show up there credibly and consistently.
• A bias toward data — you track what’s landing, adjust based on signal, and make the case for content investment with evidence.
Comfort operating at high velocity across many channels and personas — from individual contributors (platform engineers, SREs, DevOps engineers) up to senior technical leaders (VPs of Engineering, CTOs).
At The Global Talent Co., our mission is to bridge the gap between leading global tech companies and amazing global talent. We believe everyone deserves equal access to opportunities, regardless of the country they are born in.
