Full-Time

Growth Engineer

Posted on 4/24/2026

Giga AI

Giga AI

51-200 employees

Dataset management and GPT-4 model fine-tuning

No salary listed

San Francisco, CA, USA

In Person

Category
Growth & Marketing (1)
Required Skills
LLM
Claude
Python
JavaScript
SQL
SEO
Segment
REST APIs
Requirements
  • 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 JavaScript for systems work, and are comfortable wiring APIs and CMS integrations.
  • You've shipped AI-native workflows using Large Language Model 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 version 0 in two weeks and iterate — you don't wait eight weeks for perfect.
Responsibilities
  • 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 transform each flagship engineering post into approximately 15 derivative assets, including threads, LinkedIn posts, email excerpts, video cutdowns, SEO variants, and podcast clips. The system incorporates automated processes, content management, and human approval gates. Quality control ensures derivatives maintain consistent voice, are routed to the correct channels, and are measured against the flagship post's performance.
  • Programmatic / Authority, Engagement, and Organization content infrastructure (15%): Hundreds of structured pages are generated from a canonical content layer, including comparison pages, use cases, integrations, and answer-engine explainers. The tech stack is optimized for SEO as well as Authority, Experience Optimization, and Geographic Optimization (including ChatGPT, Perplexity, Claude, and Google AI Overviews). Performance is measured by indexation, citation rate, and downstream signups. Pages that do not convert are removed rather than archived.

GigaML helps developers, data scientists, and businesses manage and improve AI models, especially those based on OpenAI’s GPT-4. Its platform lets users create and organize datasets from logs, manage these datasets, and apply various fine-tuning methods to tailor models to specific tasks or industries. The product works by providing an API-backed workflow: sign up, generate an API key, and integrate GigaML’s library into Python or NodeJS projects to upload data, select tags or models, and run fine-tuning operations that adjust a model’s behavior. GigaML differentiates itself through structured dataset management, flexible fine-tuning options, and a usage-based pricing model that scales from startups to large enterprises, enabling clients to pay for data processed and tuning effort. The company aims to help organizations leverage advanced AI more effectively by making it easier to manage data, fine-tune models, and deploy capable AI solutions at scale.

Company Size

51-200

Company Stage

Series A

Total Funding

$64.7M

Headquarters

San Francisco, California

Founded

2023

Your Connections

People at Giga AI who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Raised $61M Series A from Redpoint Ventures on November 5, 2025, fueling growth.
  • Partners with DoorDash to automate millions of support calls rapidly.
  • Y Combinator praises Giga as top AI firm from India since 2023 founding.

What critics are saying

  • Full Truck Alliance majority stake since July 9, 2025, triggers CFIUS blocks.
  • Ex-employee lawsuit over revenue fraud erodes trust by mid-2026.
  • OpenAI fine-tuning API since 2024 eliminates third-party demand immediately.

What makes Giga AI unique

  • Giga deploys voice AI agents with sub-second responses for complex enterprise support.
  • Real-time orchestration handles listening, reasoning, and actions simultaneously.
  • Achieves over 90% resolution accuracy in production for DoorDash and finance.

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Benefits

Catered lunch daily

Dinner stipend

$150/month wellness benefit (gym, fitness classes, mental health)

401(k) plan

Paid parental leave (12 weeks maternal, 6 weeks paternal)

Commuter benefits

Medical, dental, and vision coverage

Growth & Insights and Company News

Headcount

6 month growth

15%

1 year growth

1%

2 year growth

-1%
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