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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 Full-Stack 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
- Experience an early stage start-up from the beginning
- Solve a massive problem in a massive market
- Take ownership and grow quickly
- Culture: fast-moving, ambitious, fun, humble
Responsibilities
- Full-Stack Development: Design, build, and maintain scalable applications using Node.js, TypeScript, and Nuxt (Vue).
- System Architecture: Architect and manage robust database schemas with PostgreSQL and Supabase, ensuring data integrity and performance.
- Infrastructure & Operations: Manage deployments and background jobs using Render and Inngest, and assist in maintaining dedicated deployments on Microsoft Azure.
- Product Ownership: Own projects across the full lifecycle, including concept development, implementation, deployment, and ongoing maintenance.
- User-Centric Design: Apply sound product and design judgment to build user-centric software features aligned with current market and customer needs.
- Collaboration: Collaborate closely with the operations team and customers via Slack and Notion to ensure technical solutions are aligned with user requirements.
Requirements
- Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.
- Minimum of 2 years full-time experience in software engineering, preferably in early-stage startups.
- Frontend Expertise: Proficiency in building responsive frontends using React/Next or Vue.js and the Nuxt framework.
- Backend Expertise: Strong backend development skills in TypeScript/Node.js and experience with PostgreSQL or relational databases.
- Strong creative judgment with a sense for marketing.
- Demonstrated ability to work independently.
- Based in or willing to relocate to San Francisco; on-site presence required (Visa sponsorship will be provided if needed).
Nice to Have
- Experience with Language Models and AI/ML integrations (OpenAI, Anthropic, Google, etc.).
- Familiarity with serverless workflows or event-driven architecture (e.g., Inngest).
- Previous touchpoints with marketing or AdTech.
Tech Stack
- Frontend: Vue.js, Nuxt
- Backend: Node.js, TypeScript, Inngest
- AI Agents: LangGraph
- Database: PostgreSQL (Supabase)
- Infrastructure: Render, Inngest
- Enterprise Cloud: Microsoft Azure (Dedicated Deployments)
- Collaboration: Linear, GitHub, Slack, Notion
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
