Developer Relations and Community Manager

Join Axelera AI as a Developer Relations and Community Manager. In this role, you will be responsible for growing the developer base using Axelera technologies, building trust and credibility within the developer and customer community, and engaging with the audience. You will also create and curate content, maintain relationships with key influencers, organize community events, advocate for the product, and monitor community engagement metrics. This is a remote position with various benefits.

About Axelera AI

• Passion for Community Building: Genuine interest in supporting a technical, self-sustaining community — not just growing numbers, but keeping it useful and trustworthy
• Technical & Social Platform Fluency: Comfortable in developer-facing platforms (GitHub, forums, Discord/Slack-style tools) as well as standard social channels and community management tooling

Responsibilities

• Act as the primary point of contact across community platforms, responding to technical questions, moderating discussions, and helping developers who are debugging real deployments.
• Develop and share content that resonates with a technical audience, including product update posts, tutorials, social updates, and newsletters.
• Organize and host community events, webinars, and meetups tied to product launches and major industry events.
• Communication Skills: Excellent written and verbal communication, able to translate SDK-level and hardware-level detail into clear, engaging content for a range of audiences (from hobbyists to enterprise engineers)
• Creative & Strategic Thinking: Able to design and execute community strategies that drive both engagement and genuine product adoption

Requirements

• Analytical Skills: Comfortable working with engagement data and metrics, including using AI-assisted tools to process and interpret them, to inform community strategy
• Software Development Literacy: Good working understanding of the software/SDK development lifecycle, enough to follow technical discussions around model deployment, drivers, and pipeline building without needing translation
• Industry Knowledge & Experience: Solid understanding of the AI hardware landscape, with experience in community management or developer relations in a technical (ideally semiconductor, embedded, or AI/ML tooling) company
• Effective AI Usage: Demonstrated, practical fluency with modern AI tools (LLM-based writing/research assistants, AI-assisted analytics, content generation tools) and good judgment about when human review and accuracy checks are non-negotiable. Comfortable evaluating AI output critically rather than publishing it verbatim
• Maker-Space Experience: Experience with or genuine interest in the maker community (Raspberry Pi, Arduino, single-board computers, home automation) — a real and active part of our current user base
• Credibility: An existing presence or credibility within AI/developer communities, with a track record of building relationships with technical stakeholders