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snowflake sql python pandas kubernetes📋 Description
- Analyze private markets workflows and user behavior to identify high-impact problems.
- Synthesize feedback, usage signals, and context into product hypotheses and features.
- Contribute to roadmap, feature scoping, and prioritization with senior PMs and engineers.
- Design, implement, and iterate on AI-powered features with engineering input to prove value.
- Build and refine LLM prompts, pipelines, and workflows to surface insights and perform tasks.
- Collaborate with engineers to bring concepts into production and monitor AI quality.
🎯 Requirements
- Early-career engineer or technical product builder (internships, projects, or 1–3 years experience).
- Hands-on exposure to LLMs, generative AI, prompt engineering, agent development.
- Curiosity about product delivery, not just model behavior.
- Ability to explain technical and product concepts clearly to different audiences.
- Technical fundamentals (i.e. Python, Go, SQL).
- Interest in private markets, fintech, or complex B2B workflows; experience a plus.
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