Job Details

Member of Technical Staff (Product Engineering Focused)

Location: San Francisco, CA (On-site, Full-time)
Salary Range: $175,000 - $275,000 per year
Equity: 0.25% - 1.5%
Visa Sponsorship: Available (including transfers and full sponsorship for exceptional candidates)
Tech Stack: Python, React, TypeScript
Reports to: Hiring Manager (LinkedIn profile shared during the process)
About the Role

We are looking for a Product-focused Full Stack Engineer to help build systems that collect, structure, and serve large-scale consumer "taste" data. This role spans data pipelines, AI systems, backend infrastructure, and consumer-grade frontend experiences with gamification and growth loops.

You will work in a fast-moving, early-stage environment, owning features end to end and collaborating closely with the founding team, researchers, and creative experts.
Key Responsibilities
Back-End (Data, AI, Infrastructure)

• Build and scale data pipelines for ingesting, processing, and retrieving data from the web, files, and other sources
• Design and maintain inference and API-serving infrastructure handling millions of requests
• Develop systems for embeddings, indexing, AI agent execution, and synthetic data generation
• Build scalable crawling and web scraping systems, including visual data extraction
• Improve system scalability, reliability, and automation through internal tooling
• Collaborate with leadership and creative experts to scope and implement AI-driven product features

• Build internal tools for operations teams managing data creation workflows
• Develop external expert-facing applications for annotation, contribution, and review
• Contribute to future product features such as gamification, quizzes, reward systems, and leaderboards
• Collaborate closely with designers, researchers, and creative experts in an early-stage setup

• Strong experience with Python
• Experience building or maintaining CI/CD systems and tooling
• Familiarity with AI/LLM-powered systems, embeddings, and index creation/maintenance
• Experience with web scraping, data extraction, and large-scale data processing
• Strong background in cloud infrastructure, systems design, and automation

• Experience working in early-stage startups
• Comfort operating in ambiguity and owning projects end to end
• Product mindset with attention to user experience and iteration speed