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Founding AI Engineer

San Francisco,...
U

Uplane

Startup
Category
Technical
Experience
0-3 years
Type
Full-Time
Location
San Francisco, CA, US
Salary
$150,000 - $200,000
Job Description
Benefits & Culture
Visa sponsorship
Equity
Core Values
Ambition
Fun
Humility
Fast-paced
This goes straight to the founder
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No recruiters. Founders reply directly.

Founder Signals
Response Rate
85%
Avg Response Time
2 hours
Compensation Calculator
In startups, higher salary usually means lower equity.
Salary (affects equity %)
Link salary ↔ equity
$125,000
$150,000$200,000
Equity % (auto from trade-off model)
1.19%
0%5%
Projected Exit Value
$350,000,000
$10M$500M
Live Trade-off
Salary
Equity %
Est. Equity Value at Exit
$100,000
1.19%
$2,082,500
$125,000
1.19%
$2,082,500
$150,000
1.19%
$2,082,500
$175,000
0.85%
$1,487,500

Advanced Salary & Equity Calculator

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About Uplane (YC F25)

Companies waste billions on bad ads, mismatched landing pages, and poor budget allocation. Uplane fixes this by replacing a patchwork of agencies, spreadsheets, and siloed tools with one self-improving AI system. It creates ads, builds matching landing pages, allocates budgets across different channels, and more. We are building the AI engine that will manage and spend the world's marketing budget.

About The Role

We're seeking a highly skilled and proactive AI Software Engineer to join our team full-time, on-site in San Francisco. This role offers an excellent chance to take full ownership of features from concept to deployment within an early-stage startup setting.

Why Join

  1. Be one of the first employees at a well-funded startup
  2. Solve a massive problem in a massive market
  3. Take ownership and grow quickly
  4. Culture: fast-moving, ambitious, fun, humble

Responsibilities

  1. Build AI systems with LangGraph: Design, build, and maintain scalable AI systems with LangGraph and TypeScript to create automated marketing campaigns.
  2. Design Data Backbone: Work on the data analytics infrastructure that will allow AI agents to get smarter over time.
  3. System Architecture: Architect and manage robust database schemas with PostgreSQL and Supabase, ensuring data integrity and performance.
  4. Product Ownership: Own projects across the full lifecycle, including concept development, implementation, deployment, and ongoing maintenance.
  5. User-Centric Design: Apply sound product and design judgment to build user-centric software features aligned with current market and customer needs.
  6. Collaboration: Collaborate closely with the operations team and customers via Slack and Notion to ensure technical solutions are aligned with user requirements.

Requirements

  1. Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative/engineering field, or equivalent practical experience.
  2. Minimum of 3 years full-time experience in software engineering, data science, or applied machine learning.
  3. Strong desire to work with data and numbers, and advanced understanding of machine learning, data science, and statistics.
  4. Backend Expertise: Strong backend development skills and experience with PostgreSQL or relational databases.
  5. Demonstrated ability to work independently.
  6. Based in or willing to relocate to San Francisco; on-site presence required (Visa sponsorship will be provided if needed).

Nice to Have

  1. Frontend Expertise: Proficiency in building responsive frontends using React/Next or Vue.js and the Nuxt framework.
  2. Experience in working with LangGraph, LangChain and TypeScript.
  3. Worked in a startup or similar fast-paced environment.
  4. Strong creative judgment with a sense for marketing.

Tech Stack

  1. Frontend: Vue.js, Nuxt
  2. Backend: Node.js, TypeScript, Inngest
  3. AI Agents: LangGraph
  4. Database: PostgreSQL (Supabase)
  5. Infrastructure: Render, Inngest
  6. Enterprise Cloud: Microsoft Azure (Dedicated Deployments)
  7. Collaboration: Linear, GitHub, Slack, Notion