Social Content Manager

This role is on-site in San Francisco in the Dogpatch neighborhood.

Giga has recently raised a $61M Series A and is working with Fortune 500 customers to deploy the next generation of customer experience - real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world's largest enterprises.

Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email, in high-stakes regulated environments where accuracy and compliance matter. We're at an exciting inflection point.

While we've found real commercial success, our ambitions are larger: to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. The work affects millions of people every day, and our team has the autonomy to make true impact - with brilliant founders, a clear path forward, and the kind of momentum that defines generational companies.

If being part of that resonates with you, we'd love to hear from you!

• Voice AI startup Giga raises $61M Series A

• DoorDash and Giga Partnership

Engineering-first AI companies don't get attention by accident. They get it because someone is highly online, posting deliberately, day after day. We're hiring a Social Content Manager to own X and LinkedIn end-to-end: the posts, the POV, and the measurement of what resonates. The judgment lives with you — this is not a brand-voice-by-committee role.

• Daily content output across X and LinkedIn (50%): Original posts, threads, replies, comment-baiting on adjacent accounts, and derivative drops from flagship engineering posts on a weekly cadence. Stack: native tooling + AI-assisted drafting. Quality control: every post tied to a hypothesis (why this hook, this audience, this hour) and tracked against it.

• Editorial POV & voice ownership (30%): What Giga does post, what we explicitly don't, how we sound. A short list of content we don't ship and the specific, technical, slightly contrarian stance that separates us from generic AI thought leadership.

• Performance learning & iteration (20%): Weekly readout on what worked and what didn't, fed back into the editorial calendar. Measured on engagement quality (saves, replies from target accounts, profile visits from named companies) over vanity volume.

You are highly online — you can name three accounts that posted something interesting this week and explain why. You've built a social presence (your own or a brand's) that earned attention without buying it. You ship at high cadence and have opinions on what makes B2B SaaS social bad. You can find the post hidden inside a customer email, a sales call transcript, or a Slack thread. You move fast with AI tools but the judgment is yours.

In-house social leads at engineering-first companies (Vercel, Linear, Anthropic, Notion). Indie creators or writers with a tech audience. Founders or early operators who built a personal brand worth following. Earlier-career candidates who are exceptionally sharp, fast, and digitally fluent.

Send links to three things you've published online that you're proud of. One sentence on why each.