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

Front-End (Product & Tooling)

• 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

Must-Have Qualifications

• 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

Nice to Have

• 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