Social Content Manager
Company websitegiga.ai (Giga, opens in new tab)
Base salary $100K to $180K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (26 min ago) · observed since
About this job
This role is on-site in San Francisco in the Dogpatch neighborhood.
About Giga
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
About the Role
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.
What You'll Own
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.
Who You Are
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.
Where You Might Come From
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.
Perks & Benefits
Catered lunch daily + dinner stipend
$150/month wellness benefit (gym, fitness classes, mental health)
Medical, dental, and vision coverage
401(k) plan
Paid parental leave (12 weeks maternal, 6 weeks paternal)
Commuter benefits
Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.
How to Apply
Send links to three things you've published online that you're proud of. One sentence on why each.
Source: Giga on Ashby · View original posting (opens in new tab)
This listingSocial Content Manager$100K to $180K
Forward Deployed Engineer I/II$100K to $190K
Software Engineer I / II$160K to $250K
QA Lead$160K to $230K
Software Engineer I / II$160K to $250K
Senior / Staff Forward Deployed Engineer$180K to $400K
Senior Backend Engineer$200K to $350K
Chart as a table
| Role | Published base |
|---|---|
| Social Content Manager (this listing) | $100K - $180K |
| Forward Deployed Engineer I/II | $100K - $190K |
| Software Engineer I / II | $160K - $250K |
| QA Lead | $160K - $230K |
| Software Engineer I / II | $160K - $250K |
| Senior / Staff Forward Deployed Engineer | $180K - $400K |
| Senior Backend Engineer | $200K - $350K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2025-12-20
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 100,000 – 180,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
