TekShapers
Lead AI Product Manager with Retirement & Wealth Domain
Windsor, Connecticut, USA · Senior · contract, third party
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About the role
- Investment Products: Target-date fund construction and glide paths; managed account structures and fee models; model portfolio construction; how investment advice flows to participants in a qualified plan context.
Responsibilities
- Candidates should expect to demonstrate these in the interview process, not just claim them on a resume. • LLM product experience: shipped at least one production feature using large language models (OpenAI GPT-4o, Anthropic Claude, Google Gemini, or equivalent); understands prompt engineering, system prompt design, context window management, and structured output extraction. • RAG architecture fluency: can evaluate the quality of a RAG pipeline - chunking strategy, embedding model selection, retrieval precision/recall trade-offs, re-ranking logic, and hallucination mitigation.
Requirements
- Hands-on experience with MCP (Model Context Protocol) integrations or multi-agent system product design.
- Required and Evaluated Evaluated rigorously.
Benefits
- Prior ownership of products in a regulated environment (financial services, healthcare, or similar); experience navigating compliance and legal review as part of the standard product process.
- Direct experience at a retirement recordkeeper, asset manager, RIA platform, or retirement-focused fintech in a product or strategy role.
Visa & Work Authorization
- ), 457 mechanics; contribution limits and catch-up provisions; employer match and vesting design; recordkeeper/TPA/plan sponsor ecosystem; QDIA rules; plan document fundamentals
This listing is sourced directly from TekShapers's careers page and normalized into a canonical job model.