Content Marketing Manager

Coder is hiring. A lot. Including a Content Marketing Manager for my team. (Another one.)

This time, I'm looking for someone who specializes in complex, long-term content programs, including SEO/AIEO (or whatever we're calling it these days) strategy and custom content from analysts and other partners. Ideally this person is a mid-career content marketer who lives and dies by Asana and can play well with others to develop high-impact marketing assets.

Highlights:
◾ Build Coder's search strategy from the ground up.
◾ Fast-growing, experienced scale-up team.
◾ This role can be fully remote anywhere in North America.
◾ Transparent salary ranges in the job description on our website.
◾ Incredible benefits (best I've ever had, personally).

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We’re looking for a content marketer who plans ahead, builds durable programs, and turns search intent into content that earns attention. This role shapes how Coder shows up in long-form campaigns, enterprise search, SEO, AIEO, and the web experiences that help enterprise buyers and OSS users find us.

You’ll play a significant role in planning, producing, measuring, and improving content programs that perform over time. You’ll partner across marketing and with subject matter experts to move campaigns from idea to launch, keep feedback clear, and make every asset work harder.

What you’ll do here

• Build and manage long-form content programs, from inception to distribution to measurement
• Lead two connected search programs: one that turns enterprise interest into revenue, and one that turns user interest into OSS installs
• Plan content roadmaps that connect audience needs, product priorities, search intent, and measurable outcomes
• Draft, edit, and publish high-quality assets such as ebooks, reports, guides, landing pages, customer stories, and campaign content
• Collaborate across marketing to support launches, lifecycle moments, demand programs, and web experiences
• Repurpose larger assets into connected content paths that improve reach, engagement, and conversion
• Use search, performance, and audience data to identify opportunities, prioritize work, and improve revenue and OSS conversion paths
• Build repeatable, scalable workflows that keep content programs organized and moving

What we’re looking for

• Experience managing content campaigns or programs from inception through execution and measurement
• Demonstrated ability to build and run search programs for distinct audiences, goals, and conversion paths
• Strong long-term planning skills and a clear system for organizing complex work
• Strong writing and editing judgment, with a focus on clarity, structure, and audience value
• Confidence partnering with stakeholders, subject matter experts, and cross-functional teams
• A practical understanding of SEO, AIEO, and how enterprise buyers and OSS users discover technical products through search
• A collaborative, organized, and systematic approach to execution
• Flexibility to re-prioritize based on what matters most right now
• Genuine curiosity about AI and examples of experimenting with it in your workflows

Bonus tacos if you have

• Content marketing experience in enterprise DevOps, infrastructure, AI, or agencies serving the space
• Experience creating content for enterprise technology leaders, platform teams, or developer audiences
• Experience with tools in our marketing tech stack, such as DatoCMS, PathFactory, HockeyStack, Buffer, Google Analytics, and Figma
• Experience building topic clusters, content hubs, pillar pages, or long-form editorial campaigns for multiple audience segments
• Experience measuring content influence across search visibility, engagement, pipeline, or lifecycle performance

About Coder

Coder is an AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle.

Our self-hosted AI Development Environment is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale.

Interview process 

We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.

AI use during the interview process

As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.

Not permitted: Using AI assistance during conversational interviews.

Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.

Our use of AI in hiring

We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:

• Ashby helps us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions - it helps our team prioritize which applications to review first.
• Granola takes notes during our interview calls so our team can focus on the conversation with you.

All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.

In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby.

If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.

Coder is a proud Equal Opportunity Employer

We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.