Member of Technical Staff Product engineering focused
Listed on 2026-01-17
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IT/Tech
AI Engineer, Data Engineer
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, Type Script
Reports to: Hiring Manager (Linked In profile shared during the process)
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
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