Social & Community Manager

San Francisco, CA (On-site)

$120K/yr – $160K/yrMid Level5+ years expFull time

Posted 7 weeks ago

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Job Summary

Own social storytelling for a technical topic by turning research into plain language while coordinating a cross-channel calendar, discussion management, and a scalable amplification network.

  • Content & storytelling: translate complex research into clear social copy and bite-sized narratives.
  • Platform ownership: manage publishing across social and owned surfaces and set the calendar cadence.
  • Community & amplification: manage comments, seed conversations, and build a creator/clip network to extend reach.

Job Description

Responsibilities

  • Translate technical research into clear, story-driven social copy.
  • Own the content calendar and publishing strategy across social and our other owned surfaces: what we post, where, and when.
  • Work the comments: reply, hold the frame, and seed discussion on and around our posts.
  • Build the amplifier network (creators, clippers, and power-listeners who re-share us) via direct outreach and ready-to-run clips.
  • Run social listening, and stand up the social playbook, calendar, and stack (within the brand system) for future hires to scale.

Requirements

  • 5–7 years on brand or creator social accounts, with audience growth to show.
  • A strong writer who makes technical ideas land in plain language.
  • Native platform fluency and a community-builder's instinct.
  • Exceptional judgment and autonomy.

Nice-to-have

Benefits

  • Health insurance for you and your dependents
  • 401K plan + 4% matching
  • Unlimited PTO
  • Lunch and dinner at the office
  • Annual Professional Development Stipend
  • Access to some of the top talent working on technical and conceptual research in AI safety
Center for AI Safety logo

Center for AI Safety

The Center for AI Safety (CAIS — pronounced 'case') is a research and field-building nonprofit. Our mission is to promote the safe development of artificial intelligence through technical research and advocacy of machine learning safety in the broader research community.

79 employees (6 in marketing)