AI Product Builder, Associate at InvestorFlow in New York, NY

Summary: InvestorFlow is the only company of its kind to deliver industry specialized CRM, built on Salesforce, and digital portals to help alternative asset firms find opportunities. The AI Product Builder, Associate will engage in product discovery, AI engineering, and client-facing problem solving, contributing to the development of AI-powered products. Responsibilities: - Analyze private markets workflows and user behavior to identify high-impact problems worth solving - Synthesize client feedback, usage signals, and business context into clear product hypotheses and feature definitions - Contribute to roadmap definition, feature scoping, and prioritization alongside senior PMs and engineers - Influence product decisions through evidence, judgment, and execution quality - Use hands-on technical work to validate product ideas and de-risk delivery - Design, implement, and iterate on AI-powered product features where engineering is required to prove value - Build and refine LLM prompts, pipelines, and workflows that surface insights and perform tasks - Collaborate closely with engineers to take validated concepts into production - Monitor AI skill quality signals across clients and channels; tune prompts, adjust data contexts, and validate improvements using structured evaluation approaches - Help produce documentation, release notes, and demos that explain what was built and why - Support internal teams (product, engineering, client success) in understanding and deploying new features - Occasionally engage directly with clients or end users to understand real-world usage and pain points Required Qualifications: - 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 is a plus, not a requirement) Preferred Qualifications: - Languages / Tools: Python, Go, SQL, Pandas, Git, shell - Platforms: Investorflow Proprietary AI Platform + Snowflake, Salesforce, LLM API (Anthropic, OpenAI, and others), MCP-compatible integrations - Infrastructure: Kubernetes (basic familiarity), data pipelines, ETL - Product: Github, Jira, Productboard Required Skills: Large Language Models (LLMs), Generative AI, Prompt Engineering, Agent Development, Python, Go, SQL, Private Markets Domain Knowledge, Fintech Domain Knowledge