10 Chalk Jobs Hiring Near You

Job Summary:
Chalk is building a data platform for machine learning applications and is seeking its first Content and Docs lead to join the Developer Relations team. The role focuses on creating and managing technical documentation and educational content to help developers effectively use Chalk's platform.
Responsibilities:
• Own and scale Chalk's technical documentation: user guides, SDK and API docs, conceptual overviews, and example workflows.
• Translate complex, low-level systems into elegant, accessible writing, reading production code to document with precision and empathy.
• Treat docs as a product. Set the roadmap, define what good looks like, and measure it (time-to-first-success, ticket deflection, agent answer quality, GEO and AEO rankings).
• Make Chalk's content LLM-native so Claude, Cursor, and ChatGPT can ship correct, current Chalk code on a developer's behalf. Information architecture, retrieval-friendly chunking, canonical examples, llms.txt, and clean versioning.
• Design technical diagrams and educational content (tutorials, deep-dives, video scripts, runnable examples) that close the gap between "read about Chalk" and "ship with Chalk."
• Build the feedback loop. Mine support tickets, sales calls, and AI search logs for gaps and close them in days, not quarters.
• Keep docs living. Every product change ships with docs. Examples are tested in CI. Nothing rots.
• Establish Chalk's technical voice and how we communicate as a company.
Qualifications:
Required:
• 4+ years in technical writing, developer education, or developer documentation for a technical product. Bonus if you've been the first or only docs hire.
• Product instincts. You think in users, jobs, metrics, and roadmaps, not deliverables.
• You can read code fluently in Python, Rust, or similar, and reason about it in a repo, not just a CMS.
• Comfort designing diagrams and visual explainers. You know when a diagram is doing more work than a paragraph.
• Demonstrated experience optimizing content for retrieval, AI search, or LLM consumption.
• A portfolio with range: getting-started, deep explainers, reference material, tutorials, diagrams.
• High agency. You find the gap and ship.
• Comfort with Markdown, static site generators, Git workflows, and CI-tested examples.
Preferred:
• Experience at early-stage startups or with fast-moving product teams.
• Contributions to developer platforms or open-source documentation.
• Background in developer education, courses, or technical video production.
• Familiarity with real-time systems, feature engineering, or inference infrastructure.
• Understanding of compiler or query planning concepts.
• You've stood up a docs analytics stack (search logs, AI referral tracking, agent eval harnesses).
Company:
Chalk is a data platform for AI inference that provides the infrastructure needed to operationalize machine learning and AI. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.