Full-Time (40 hours/week) | Fully Remote About The Company 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. The Role Content Marketing Manager drives discovery, shapes perception, and earns the attention of engineers, SREs, platform teams, and technical leaders who need what we build. The role owns the content engine — from creation through distribution — across every channel where the audience learns, searches, and forms opinions. It is divided into two equally weighted halves: Creating technical‑content that resonates with audiences. Ensuring content travels to the right people, in the right channels, at the velocity a fast‑moving company needs. The role also owns the AI‑powered workflow systems that turn source material into channel‑appropriate content across every surface where the company needs to appear. We work daily with Product Marketing, Technical Marketing Engineers, the 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. What You’ll Own Content Creation Original market‑perspective content — pieces that share the company’s point of view, including major owned research projects such as the State of Reliability 2026 survey. Channel‑native content — LinkedIn posts, newsletters, social threads, scripts, and short‑form video keeping the company present. Content built on technical work — translating deep material from our Technical Marketing Engineers and positioning from Product Marketing into publishable content. Executive thought leadership — turning expertise of senior leaders into credible external presence. Editorial standards — establishing and maintaining voice, tone, and quality bar for everything published under the company brand. Distribution Across Channels Social platforms — LinkedIn primary surface plus other networks where DevOps and SRE practitioners gather. Engineering communities — Discord, Slack, Reddit, Hacker News, CNCF forums, and other practitioner spaces. Video platforms — YouTube and other channels where the audience learns and evaluates. Owned channels — company website, email, newsletter programs, and resource and video library. Earned media and guest contributions — placements in publications and opportunities for the company team to contribute. Search and AI discovery — structure content for SEO and AI Engine Optimization. AI‑Powered Workflow Systems Build and evolve AI‑assisted content workflows that turn source material into channel‑appropriate output at scale with human‑in‑the‑loop quality control. Design systems and prompts that produce consistent voice and quality across formats. Continuously improve the workflow stack as the team grows and AI tooling evolves. Act as the in‑house standard‑setter for high‑quality AI‑augmented content production. Amplification of the company’s People Coaching team members on building consistent external voices, particularly on LinkedIn. Helping engineering and product communicate what they’re building into resonant stories. Identifying and building relationships with credible external voices for joint posts, podcasts, and community presence. Contributing Across the Marketing System Demand generation — supplying content that powers paid, outbound, and lifecycle programs. Events — pre‑event, at‑event, and post‑event content that extends the reach of field activity. Analytics — tracking content performance across channels to guide next efforts. What We’re Looking For Ecosystem fluency in the DevOps, SRE, or platform engineering world. A strong content instinct — knowing what will resonate with technical audiences. Multi‑channel distribution craft — understanding how content behaves across platforms. Genuine AI fluency at the workflow level — owning AI‑assisted systems, not just using AI tools. Hands‑on fluency across modern content marketing tools (HubSpot, Google Analytics, Google Search Console, Canva, Claude, ChatGPT, Perplexity, AirOps). A reach orientation — targeting where the right people are and what the company needs to do to show up credibly. A bias toward data — tracking performance, adjusting based on signal, and advocating for content investment with evidence. Comfort operating at high velocity across many channels and personas, from individual contributors to senior technical leaders. #J-18808-Ljbffr