About Us

PromptCloud is a Data as a Service company that helps businesses harness the power of data. Our technology fuels some of the most interesting big data projects in the world. We are a small bunch of people working towards shaping the imminent data-driven future by solving some of its fundamental and toughest challenges.

The PromptCloud experience is about striving to become the best version of ourselves holistically, an experience that lasts a lifetime. We tend to have clear growth paths for every role and level in the org so the learning never stops. We believe in a work-life blend, and hence encourage responsible flexibility, which is particularly important in a fully remote setup we have. We trust our people with the impact they can create, and let them choose how they want to do so. We are on a mission to put reliable data at the heart of every business to fuel success and intend to transform the lives we touch (of our customers and our people) while on this journey.

Technical Product Marketer — Content & Growth

Location: Remote (Worldwide)
Type: Full-time
Level: Junior to Mid-level (2 – 4 years experience)
Reports to: Leadership team

About Clyro

Clyro is the Agent Kernel — the intelligent infrastructure layer that makes AI agents production-ready. We provide runtime governance for AI agents: loop detection, cost bounds, step limits, and business logic guardrails that prevent failures before they happen.

We're post-launch with early users, a live PLG funnel, and growing developer attention. AI agent deployment jumped from 11% to 42% in a single quarter — but 80% of organizations are experiencing risky agent behaviors. We've built the reliability infrastructure this market needs, and now we're scaling the go-to-market engine around it.

The Role

We've already built momentum — a library of published technical articles, an active content pipeline, a rolling editorial calendar, SEO keywords mapped, and a content quality pipeline designed. What we don't have is someone dedicated to sustaining that momentum and scaling output.

You'll own the content-to-distribution pipeline end-to-end: take drafted articles through quality review, optimize for SEO, publish to our Ghost blog, distribute via newsletter and social media, and measure what's working. Then you'll build the engine that produces 2+ pieces per week sustainably.

This is a ground-floor role — pre-revenue, post MVP. You'll have direct access to the leadership team, real influence on how Clyro shows up publicly, and meaningful ownership from day one.

What You'll Do

Content Pipeline Execution (50%)

• Own the end-to-end quality pipeline from draft through SEO/AEO optimization, editorial review, and publication

• Manage the editorial calendar (13-week rolling schedule)

• Ensure articles meet Clyro's voice and messaging standards (technically credible, no fluff)

• Coordinate with the leadership team on content priorities

SEO & Growth (20%)

• Optimize content for target keywords and search intent

• Track rankings, organic traffic, and performance using tools like Plausible and Microsoft Clarity

• Identify content gaps based on search data and competitor analysis

• Improve landing page copy in collaboration with the tech team (Framer)

Email & Newsletter (15%)

• Launch and manage the Clyro newsletter (Beehiiv)

• Build and segment the email list (pre-launch milestone: 500 subscribers)

• Write newsletter editions that drive engagement and product interest

• Track open rates, click-throughs, and list growth

Social Distribution (15%)

• Create LinkedIn posts and Twitter threads to distribute content

• Repurpose articles into bite-sized social content

• Coordinate with the DevRel teammate on messaging and timing

• Monitor engagement and iterate on formats

You Might Be a Fit If

• You’ve published content in a B2B SaaS or developer tools context (including personal or freelance work)

• You understand SEO fundamentals (keyword research, search intent, on-page optimization) and have used tools like Ahrefs, Semrush, or Clearscope

• You can take rough drafts and turn them into polished, publishable content without losing technical depth

• You use AI tools (Claude, ChatGPT, etc.) to accelerate workflows while applying strong editorial judgment

• You can write in a technically credible, clear, and engaging voice

• You are self-directed and comfortable working in a fast-moving, early-stage environment

Nice to Have

• Familiarity with AI/ML concepts (LLMs, agents, LangChain, etc.)

• Experience with Ghost, Beehiiv, Framer, or Plausible

• Experience at a pre-launch or early-stage startup

• Understanding of developer audiences and content expectations

• Experience marketing technical infrastructure, AI, or compliance-related products

What We Provide

• Existing content momentum: published articles, draft pipeline, and editorial calendar

• Clear positioning, personas, and content strategy

• Direct access to the leadership team

• AI-augmented workflows integrated into the content process

• High ownership with minimal bureaucracy

How to Apply

Please send:

1. A brief note on why this role interests you

2. 1–2 writing samples (B2B/technical content preferred)

3. A short editorial critique (3–5 sentences) of the paragraph below — what you’d change, keep, and why:

Observability tools are architecturally designed to record, not to intervene. They sit alongside the execution pipeline, receiving events as they happen, storing them for later analysis. They do not sit in the execution pipeline with the authority to stop it. Consider three real-world failure patterns where observability was present but damage still occurred: The $47K Loop. An autonomous multi-agent system entered a retry spiral over an unsolvable edge case and ran for eleven days, accumulating $47,000 in API costs. The system had monitoring. Cost alerts were configured at the account level — a monthly budget alarm at $5,000 that was designed for normal operations. The agent's status logs showed "Schema drift resolution in progress" throughout. Every trace was clean. Every API call succeeded. The observability tools recorded eleven days of runaway execution perfectly. They did not stop it.

1. One example of how you've used AI tools to improve a content workflow (1 paragraph)

2. A short note (3–5 sentences) on how you would publish 5 articles in your first 30 days given existing drafts