Who you are
You are an AI multiplier: You don't simply use AI. You instinctively think about how to teach AI to perform the work you do so you can continuously increase your impact. You automate first and repeat yourself as little as possible.
You are a builder: You love to build, ship, get feedback, and iterate because that's the only way to know what's working and what isn't.
You are an owner: You take pride in your work and can operate autonomously to drive your work forward. Seekeasy is not the right fit for people who default to waiting for instructions.
You are a team player: You see yourself as part of the team, not just as someone working on the same project. Whatever it takes for the team to succeed, you want to be a part of it.
You are insight obsessed: You love finding patterns hidden inside messy data and turning them into decisions that create meaningful business impact.
Your qualifications
- Proficient with Python, SQL, AWS services, Git, relational databases, and modern data platforms.
- Proficient with AI platforms, APIs, and frameworks including large language models, prompt engineering, retrieval augmented generation (RAG), vector search, AI agents, Model Context Protocol (MCP), LangGraph, LangChain, or similar technologies.
- Experience building scalable data pipelines, analytical models, dashboards, and reporting systems using modern data engineering and analytics best practices.
- Experience working with search technologies such as Elasticsearch, OpenSearch, or similar search and indexing platforms.
- Passionate about AI and its potential to transform how businesses operate. You don't just use AI to be more productive. You think about how to train AI to become a trusted analytical teammate that scales your expertise.
- Strong analytical and statistical problem-solving skills with the ability to translate data into actionable business recommendations.
- A problem solver who thrives in the ambiguity and fast pace of startup environments.
- A seasoned AI, data, or analytics professional with 6+ years of experience in Analytics Engineering, Data Engineering, Data Science, Machine Learning, Business Intelligence, or a related technical discipline, with a track record of building scalable analytical systems.
- Live in the San Francisco Bay Area and can commute to our office in San Francisco.
- Previous startup experience.