Forward Deployed Product Manager – AI

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 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 with Engineering, Data Science, Security, and Operational Leadership teams. Where You’ll Drive Impact  Embed within internal business teams to deeply understand workflows, decision-making processes, pain points, and opportunities for automation and augmentation Translate complex operational challenges into well-defined AI solutions with measurable business outcomes Design, prototype, and deploy AI-powered workflows and agentic systems leveraging modern LLM platforms, orchestration frameworks, and internal data infrastructure Own the full product lifecycle, including discovery, solution design, implementation, testing, rollout, adoption, and ongoing optimization Establish evaluation frameworks that measure AI performance against operational, quality, and business outcomes Partner with engineering, data, and security teams to ensure solutions meet 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 (estimated less than 15%) Perform related duties as requested  You Might Thrive in This Role If You enjoy operating in highly ambiguous environments and creating structure where none exists You are equally effective working with executives, operators, engineers, and data scientists You can quickly understand how people actually work and identify opportunities to improve workflows through technology You value rapid experimentation and iterative learning over lengthy planning cycles You have strong judgment about where AI adds value and where traditional solutions may be more appropriate You are energized by building and deploying solutions that create immediate impact for users You are comfortable moving between strategy, 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 teams throughout implementation Ability to navigate ambiguity, prioritize effectively, and drive outcomes with limited direction Strong written and verbal communication skills with the ability to engage both technical and non-technical audiences Demonstrated ownership mindset and bias toward action Preferred Experience in healthcare, clinical research, or another regulated domain (HIPAA, GxP, financial services) Background as a technical founder, early engineer at a startup, or in a customer-facing engineering role (FDE, solutions engineering, applied AI) Interest in growing toward a senior product role over time — this role is designed as a natural bridge Experience with agent frameworks (Claude Agent SDK, LangGraph, AgentCore, etc.), MCP servers, or production LLM evaluation tooling Familiarity with EMR systems, clinical trial operations, or healthcare data standards (FHIR, OMOP) Experience working with messy, real-world data and turning it into something useful without pretending it's clean What Success Looks Like Within your first 12 months, you will: Deploy multiple AI-powered workflows that deliver measur