Forward Deployed Product Manager – AI
AI summary of the role
Builds and deploys AI-powered workflows for internal clinical research and operations teams at Iterative Health.
What you’ll do
- Embed within internal teams to understand workflows and identify automation opportunities
- Design, prototype, deploy AI workflows and agentic systems using LLM platforms
- Own full product lifecycle from discovery through deployment and optimization
What you’ll bring
- .NET 4+ years building/shipping software products, AI apps, technical solutions, or production systems
- Hands-on experience with LLMs including prompt engineering, agent design, RAG, evaluation frameworks, workflow automation
- Familiarity with Python and ability to work with technical teams through implementation
Technologies
LLM · prompt engineering · RAG · agent design · Python · Claude Agent SDK · LangGraph · AgentCore · MCP · FHIR · OMOP · HIPAA
About Iterative Health
Builds AI-powered clinical-research infrastructure for GI and adjacent specialties, combining a high-performing site network, patient pre-screening, and services to speed enrollment and trial execution.
Series B · 200–500 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
research operations are executed. This is a highly hands-on role that sits at the intersection of product, engineering, and operations. You will partner closely with end users to understand their workflows, identify opportunities where AI can create meaningful leverage, rapidly prototype solutions, and deploy them into production. The ideal candidate combines strong product instincts with technical fluency and a builder mentality. You are equally comfortable sitting alongside a clinical operator to understand a workflow as you are working with engineers and AI tooling to bring a solution to life. You will work across Clinical Operations, Site Operations, Trial Enrollment, Business Development, and Corporate Functions, identifying high-impact opportunities and owning them from concept through deployment and adoption. This role reports to the Product organization and partners closely
More from the job description
Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. We built a leading performance-driven network of 100+ sites across the US, Europe, India, and Australia, conducting research directly in the communities where care is delivered across gastrointestinal, hepatology, obesity, and cardiology. By combining deep clinical trial expertise with cutting-edge AI, we connect sponsors' scientific ambitions with high-performing research teams that expedite and expand access to novel therapeutics for patients in need. Today, Iterative Health is headquartered in Cambridge, Massachusetts, and New York City with 250+ employees world-wide. As a Forward Deployed AI Product Manager at Iterative Health, you will work cross functionally to identify, build, and deploy AI-powered solutions that transform how clinical research operations are executed. This is a highly hands-on role that sits at the intersection of product, engineering, and operations. You will partner closely with end users to understand their workflows, identify opportunities where AI can create meaningful leverage, rapidly prototype solutions, and deploy them into production. The ideal candidate combines strong product instincts with technical fluency and a builder mentality. You are equally comfortable sitting alongside a clinical operator t [... source excerpt omitted ...] company standards for reliability, governance, compliance, and scalability Work through the operational and technical details required to move solutions from proof-of-concept to production Identify patterns and opportunities that can evolve from one-off solutions into reusable platform capabilities Bring field insights and learnings back to Product and Engineering leadership to inform future investment decisions and product strategy Contribute to the evolution of Iterative Health's AI operating model, including tooling, evaluation methodologies, governance practices, and development standards Travel occasionally to business units, research sites, and company offices as needed [... source excerpt omitted ...] tegy, execution, and hands-on problem solving What You Bring to the Team 4+ years of experience building and shipping software products, AI applications, technical solutions, or production systems Hands-on experience working with large language models, including prompt engineering, agent design, retrieval-augmented generation (RAG), evaluation frameworks, and workflow automation Strong technical fluency with modern AI development workflows and tooling Experience collaborating directly with end users to understand business problems and translate them into scalable solutions Familiarity with programming languages such as Python and the ability to work effectively with technical
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