Senior Content Marketing Manager - USA

Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We are looking for an AI-native Senior Content Marketing Manager to build Inworld's voice in public. This role covers executive thought leadership, social channels, employer brand, and the production system behind them. It is a hands-on role working closely with the VP of Marketing and PMM. Candidates must be based in the SF Bay Area or willing to relocate, with on-site work in the South Bay office a few days a week. The US base salary range for this full-time position is $150,000 - $210,000, plus equity and benefits.

Responsibilities

Ghostwrite for founders and technical leaders across LinkedIn, X, and long form; Sit in on research and engineering conversations and pull out the ideas worth publishing; Develop the editorial point of view that makes content worth following; Run LinkedIn, X, and YouTube as owned channels with their own audience; Show up where developers discuss realtime voice, including Reddit, Discord, Hacker News, and technical communities; Repurpose launches, benchmarks, press coverage, and demos into content used across channels; Track metrics such as follower quality, engagement from the right accounts, and traffic that converts; Use AI tooling to multiply output without flattening voice; Break every substantial piece into clips, threads, and posts; Build the systems and templates that let content ship on cadence; Hold the standard against AI slop

Requirements

4-7 years in content marketing, ideally to a developer or technical audience; Exceptional writer with range, able to write as a founder, as an engineer, and as the brand; Demonstrated track record growing a social presence on LinkedIn and X, with the numbers to show for it; Fluent with AI tooling as a production system; Comfortable interviewing researchers and engineers and turning it into something readable; Judgment about what not to publish; Power user of Claude Code or equivalent, thinking in terms of agents and systems; Candidates must be based in the SF Bay Area or willing to relocate