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!

About the Role

We publish technical content that engineers respect. What we don't have is the infrastructure to measure whether that content drives pipeline, or the systems to turn each flagship post into 15 derivative assets. We're hiring a Growth Engineer to build both — full-funnel attribution, engagement modeling, and AI-native repurposing pipelines. This is not an outbound GTM Engineer role. The closest reference: growth engineering at Ramp, Vercel, or Linear.

What You'll Own

Content attribution and engagement infrastructure (50%): Full-funnel tracking from content consumption to signup to activation to pipeline. Event instrumentation (Segment-class + warehouse + BI), engagement modeling (time on page, scroll depth, return visits, paths), exec dashboards, and feedback loops into editorial so the team knows what's working within a week of publishing.
AI-native content repurposing engine (35%): Pipelines that turn each flagship engineering post into ~15 derivative assets — threads, LinkedIn posts, email excerpts, video cutdowns, SEO variants, podcast clips. Stack: Claude API + n8n/Make + CMS + human approval gates. Quality control: derivatives match voice, route to correct channels, measured against flagship performance.
Programmatic / AEO content infrastructure (15%, Q2+): Earns its place after attribution is trusted.

Who You Are

You've built production attribution and event pipelines — Segment-class tooling wired to a warehouse and BI layer. You're SQL fluent, write Python or JS for systems work, and are comfortable wiring APIs and CMS integrations. You've shipped AI-native workflows using LLM APIs in production, not just prototyped them. You have content instinct: you understand why which post matters, not just which event fired. You translate fuzzy editorial goals into measurable systems. You ship v0 in two weeks and iterate — you don't wait eight weeks for perfect.

Where You Might Come From

Growth or marketing engineering at content-led B2B SaaS (Ramp, Vercel, Linear, Attio, Webflow, Retool, Notion, Stripe). Analytics engineers who moved into marketing. Founders of content/attribution SaaS that didn't work out. Technical marketing ops leaders ready to build instead of administer.

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

Share a link to the hardest project you've built and include a short paragraph on why was it hard.