Growth Engineer

Giga AI Inc

$120K — $150K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in growth engineering or marketing engineering roles
  • Fluency in SQL, with proficiency in Python or JavaScript for systems implementation
  • Experience with API integrations and CMS workflows
  • Proven ability to build production-level attribution and event tracking systems
  • Familiarity with AI workflows and LLM APIs in real-world applications
  • Strong understanding of content impact on user engagement and pipeline performance
  • Ability to take a project from concept to iterative implementation within tight timelines

Responsibilities

  • Develop and implement full-funnel tracking for content attributions
  • Create an engagement modeling system analyzing user interactions with published content
  • Build an AI-native content repurposing engine to create derivative assets from flagship posts
  • Integrate event instrumentation and feedback loops into the editorial process
  • Ensure quality control of generated content derivatives to maintain brand voice and effectiveness
  • Establish programmatic content infrastructure as attribution systems mature

Benefits

  • Catered lunch daily + dinner stipend
  • $150/month wellness benefit for health and fitness
  • Comprehensive medical, dental, and vision coverage
  • 401(k) retirement plan
  • Paid parental leave (12 weeks for maternal, 6 weeks for paternal)
  • Commuter benefits
Full Job Description
This role is on-site in San Francisco in the Dogpatch neighborhood.

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

How to Apply

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

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