Hilbert's AI
Content Lead
San Francisco · Exec
Sponsorship not specifiedDetected 79 days ago
Data ScienceComplianceSEOContent MarketingContent CalendarsSalesCadenceResearchLeadership
About the role
- Brand, Thought Leadership & Organic Presence
- Ensure that everything published under the Hilbert name reflects a clear, earned, and consistent point of view on B2C growth intelligence.
- Write and publish original long-form content: essays, frameworks, and category-defining pieces that position Hilbert as the authoritative voice for operators who take B2C growth seriously.
Responsibilities
- Fully agentic by design, Hilbert compresses months-long decision cycles into minutes.
- We're also co-building alongside leading AI companies.
- Own Hilbert's editorial voice and brand positioning across all channels. Ensure that everything published under the Hilbert name reflects a clear, earned, and consistent point of view on B2C growth intelligence.
- Own the LinkedIn presence for both the company page and founder voices - content strategy, publishing cadence, and amplification logic.
- Own end-to-end production of Hilbert Space, our videocast series featuring growth leaders. Handle guest pipeline, pre-production research, editorial direction, distribution, and clip strategy.
Requirements
- You are a sharp editor who raises the quality floor for everything that goes out.
- You have worked closely with sales and GTM teams and understand that content is not a function that operates independently of the commercial motion.
- You have built enablement materials that people on the sales team actually used.
- You are comfortable in a fast-moving, small team environment where the scope is real and the feedback loop is short.
- The bar is: you have shipped content that changed how an audience thought about a problem, and you can prove it.
Company info
- These minds shape how Hilbert's intelligence layer evolves, how customers grow, and how the company goes to market.
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This listing is sourced directly from Hilbert's AI's careers page and normalized into a canonical job model.