Senior Content Engineer

4 дн. назад

100k–150k USD / годСШАSeniorRemote

cloudautoscalingorchestration

Senior role focusing on building cloud platform features for AI-native, full-stack applications to support developer experience and scalability.

Обязанности

Developers increasingly pick their tools through AI assistants and coding agents. When someone asks ChatGPT, Claude, or a coding agent where to deploy their app, we want to be the answer. That depends on content that exists, is accurate, and stays current.
As ’s Senior Content Engineer, you’ll own the strategy and the system behind that content. You’ll find the gaps in our content catalog based on how shows up in LLM and answer-engine results, decide which gaps matter most, and build and run the content factory that fills them. The role sits close to DX Engineering and is fully focused on content. You’ll work directly with the Head of Developer Experience, the DX team, ’s docs owners, and external content partners.
The primary audience for this content is coding agents and LLMs. You’ll ship focused, technically grounded pieces that help them answer developer questions and cite : use-case articles, stack-specific guides, comparisons, and docs. The field is still taking shape, so you’ll test what works and help write the playbook.
This is a remote role within the US, with the option to work out of our headquarters in San Francisco.
Own ’s content gap analysis. Use AEO benchmarks, citation tracking, and AI agent traffic data to find where is missing, wrong, or out-cited in LLM answers, and turn noisy signals into clear priorities.
Turn that analysis into a prioritized backlog across articles, guides, and docs, with clear reasoning for what ships first.
Build and improve ’s content factory: the AI-assisted pipelines, built on Workflows, that research, draft, fact-check, and assist us in publishing technical content. Test changes with evals and keep the system reliable as output grows.
Own the review loop. Make expert review faster and cheaper, track factual accuracy, and keep the quality bar high at higher volume.
Run the refresh cycle for existing content so pages stay accurate as the product changes.
Manage day-to-day work with external content partners: briefs, feedback, quality, and output.
Partner with docs owners to expand docs coverage where it drives citations.
Define and report the metrics that show whether content moves ’s visibility and signups. Volume published is one input among several.
The content factory is reliable, well maintained, and keeps up as our content needs grow.
shows up more often in agent and LLM answers for the topics the content plan targets.
Content stays technically accurate, and expert review takes less time per piece as output grows.
The content plan responds to gaps in our catalog and to what we learn about ’s visibility in agent and LLM answers.
We have a plan and a workflow to keep the catalog up to date as the product changes.

Требования

5+ years in technical content, developer education, content engineering, or software engineering with a strong content focus, ideally at a developer tools or infrastructure company.
A working understanding of AEO or generative engine optimization (GEO) and how answer engines choose sources. The field is new, so we care about what you’ve built and measured, and how fast you learn.
Strong working knowledge of AI agents. You use coding agents like Claude Code, Codex, or Cursor every day, and you know agent workloads (long-running tasks, tool calls, sandboxed code execution) well enough to judge whether content about them is correct.
A builder’s approach to AI. You’ve built content systems in code (scripts, pipelines, LLM and agent workflows) and use evals to understand what a change affects. Comfortable with Python or TypeScript, Git, and APIs.
Strong technical judgment. You can read a docs page or code sample and tell whether it’s correct.
Sharp editorial taste. You catch weak structure, generic AI-generated prose, and factual errors fast.
Comfort owning a system end to end and holding external partners to a quality bar.

Будет плюсом

Experience running SEO or programmatic content at scale, especially for developer audiences.
Experience with LLM benchmarking or answer-engine measurement.
Experience building agents or MCP servers.
Familiarity with cloud hosting, deployment, or infrastructure products.
You’ve used before, professionally or on side projects.

Условия

4 weeks of paid vacation.
14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
Long-term disability, life insurance, and 401K plans.
100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
Monthly cell phone and internet subsidy.
Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At 's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We encourage all who are interested to apply. We can't wait to hear from you!
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Другое

At , we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
Sizing the long tail of developer questions where should be cited and isn’t, then building the plan to cover it.
Adding an automated fact-check stage to the content pipeline that verifies claims against live docs.
Building a refresh system that flags stale content when the product changes.
Running a recurring survey of LLM answers to measure where appears and who gets cited instead.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.