Technical Content Manager

At Mem0, we're looking to hire a Senior Technical Content Manager who combines deep technical writing experience with the ability to lead a team of writers, strategize, and ship content that developers actually care about. This is a role for someone who can write code, explain complex ideas with clarity, and build a small but high-output content engine from the ground up.

• Own Mem0's technical content strategy from topics, formats, cadence, to distribution with a focus on high-signal, developer-centric content.

• Write and edit deeply technical blog posts, guides, examples, and architectural explainers across:

  • AI systems and agents

  • memory architectures

  • vector databases & embeddings

  • LLM workflows & SDK integrations

  • applied research insights

• Produce content that shows real engineering ability (e.g., production-level code samples, API walkthroughs, minimal reproducible examples).

• Translate complex technical concepts into narratives that are approachable, educational, and entertaining.

• Manage and mentor a small team of writers and contributors to raise the bar on quality and velocity.

• Collaborate with engineering, research, and the founders to surface new ideas, product insights, and content opportunities.

• Develop a strong understanding of developer communities and provide insights into reader preferences on Hacker News, Reddit, X, and other channels.

• Ship fast, learn from real-world engagement, and refine the content engine through iteration.

• Act as an internal expert on how our audience thinks: their pain points, workflows, tools, and mental models.

• Use SEO insights to inform topic selection and content direction without compromising the depth, originality, or technical rigor that Mem0's audience expects.

• 5–8 years of technical content writing with a portfolio of 50+ well-researched, deeply technical articles in AI, ML systems, LLMs, vector search, infrastructure, or related domains.

• Strong ability to write high-signal, code-driven content. You can implement examples, use APIs, and reason about architecture tradeoffs.

• 1–2+ years of management experience, leading content writers or editorial workflows.

• Can read API documentation and SDKs and turn them into clear, useful developer guides.

• A strong grasp of the AI ecosystem: what content performs, what developers are curious about, and where the field is heading.

• Excellent writing mechanics and blog structuring skills that does not rely heavily on AI tools to compensate for weak fundamentals.

• A builder's mentality: you iterate quickly, ship often, and treat content like a product.

• Ability to read, digest, and extract insights from AI or systems research papers.

• Strong developer empathy. You're plugged into technical communities and understand what earns attention vs. what gets ignored.

• Able to perform thoughtful SEO analysis to guide content strategy

• Experience writing about memory systems, knowledge representation, or agent architectures.

• Prior work at an AI infrastructure, API tooling, or developer-facing platform company.

• Demonstrated thought leadership in AI, ML Ops, or system design.

• Producing content that has real technical depth, not SEO filler.

• Helping developers build better systems, not chasing marketing metrics.

• Exploring new, complex AI topics with genuine curiosity.

• Understanding and contributing to Mem0's mission of bringing memory to every AI system.

• Writers who are primarily SEO-driven or marketing-oriented.

• Managers who don't write this is still a hands-on writing role.

• Software engineers who want to write but have not demonstrated adequate writing skill.

• Individuals who rely excessively on AI writing tools without the underlying expertise.

Mem0 is building the memory layer for AI agents that enables them to store, retrieve, and leverage long-term memory. Developers use Mem0 to build stateful, adaptive systems that learn over time. As the frontier of agentic AI rapidly evolves, high-quality technical content is one of the most important ways we educate the market and shape how developers build with memory.

• You help define the emerging field of AI memory — one of the most critical primitives for the next decade of AI systems.

• You work closely with founders, engineers, and growth team in a fast-moving environment.

• Your writing will influence how thousands of developers think about memory-augmented AI.