Product Lead - Platform

Midstream is an AI-native financial operating system for health systems, founded by experienced entrepreneurs and backed by top-tier investors. It gives finance, supply chain, and managed care teams real-time visibility into where margin is at risk, with an action plan for capturing it. The role is for a Product Manager to shape the foundational platform powering Midstream's AI-native products across supply chain, managed care, and pharmacy. The position owns the strategy and roadmap for the data infrastructure, core AI agents, and shared capabilities, working closely with Engineering, Research, and Product. It is the company's first Platform PM role.

Responsibilities

Own platform strategy and roadmap for Midstream's shared platform; Define vision, priorities, and roadmap; Decide which capabilities belong in the platform versus individual product domains; Partner with Engineering to shape how healthcare data is ingested, reconciled, modeled, and connected; Drive capabilities such as LLM-powered contract extraction, product categorization, and entity resolution; Own shared infrastructure and capabilities that power Midstream's AI agents; Establish how agents are built, evaluated, and improved; Define standards, metrics, and continuous monitoring for data quality; Partner with Product Managers across supply chain, managed care, and pharmacy to build reusable capabilities; Improve how new health systems and data sources are onboarded; Shape platform capabilities that meet security, privacy, compliance, and reliability expectations of large health systems; Make pragmatic architectural tradeoffs with Engineering

Requirements

8+ years of product management experience, including building enterprise analytics, data, or intelligence platforms that support multiple products or business domains; Strong understanding of data architecture, including ingestion, data modeling, entity resolution, APIs, and multi-tenant systems; Ability to engage deeply with engineers on technical decisions and tradeoffs; Hands-on experience building AI-powered products and understanding of the opportunities, limitations, and evaluation challenges of LLMs and agentic systems; Understanding of accuracy, explainability, and traceability in enterprise platforms; Experience building products where data integrity, security, privacy, and compliance are essential; Strategic, first-principles thinking about what belongs in a shared platform versus individual products; Pragmatic builder who can ship incrementally, learn from real-world usage, and evolve early capabilities into scalable solutions; Strong cross-functional partner who communicates clearly, documents decisions thoughtfully, and builds alignment across Product, Engineering, and Research

Nice to have

Experience with healthcare data, including EHR, ERP, supply chain, pharmacy, or payer data; Familiarity with knowledge graphs, ontologies, data catalogs, or master data management; Experience building products at an early-stage company