Senior Product Manager II - AI Platform & Agentic Experience at Redoxengine (Remote)

About the role

Redox is on a mission to accelerate healthcare’s transformation with useful data. Redox Engine, a flexible interoperability platform, connects and powers real-time healthcare data exchange. With just one connection, data can be orchestrated across a growing network of 12,000+ systems and organizations, including 100+ electronic health record systems (EHRs). Redox processes over 1.2 billion messages per month across our health tech vendor, provider, payer, EHR, and life sciences customers.

Opportunity & Impact

As a Senior Product Manager II, you will be a key leader in reducing friction in healthcare integration and accelerating the Redox platform investments. You'll own the complete AI feature portfolio, lead Redox's agentic product strategy, and build the framework that determines how AI gets from prototype to production. You'll work closely with engineering, design, and the broader PM team to define what it means for a healthcare interoperability platform to be AI-native. You’ll drive the vision that makes Redox the foundational agentic data layer for healthcare, ensuring that Redox continues on its path as the most modern health data interoperability platform. In addition, this role will be aligned to our Vendor customer segment, partnering with GTM to ensure our platform supports enterprise vendor use cases.

Job Responsibilities

AI Platform & Agentic Experience (60%)

Own the complete AI platform portfolio across three categories: AI-enabled UX, AI agents (MCP/agentic automation), and AI in data processing.

Drive embedded AI features from internal alpha through production — managing rollout criteria, prompt iteration, success rate thresholds, and the decision framework for when each feature is ready for customer availability.

Define and maintain Redox's AI investment framework: KPIs, rollout criteria, cost guidelines, and the research agenda for what we still need to learn (monitoring, agentic loops, RAG, re-prompting).

Manage beta relationships for agentic use cases across multiple customer segments.

Lead Redox's agentic product strategy — starting with the MCP Server as the current foundation, expanding into native agent support for high-value customer workflows throughout 2026, with a clear 2027 vision & roadmap.

Equip sales and CS to position Redox's AI platform story accurately.

Platform Architecture & Commitments (25%)

Scope and drive overall platform features required to unlock new use case, channel partnerships, & commercial success in the Enterprise customer base.

Ensure complex infrastructure work (VPN configurations, multi-tenant patterns, integration partner requirements) is scoped clearly and investments are made with commercial need.

Vendor Market Lead (15%)

Partner with GTM & Customer Success to enable vendor customer growth (both new business and expansion).

Contribute to use case development, customer segmentation, & field enablement to close high-value Enterprise vendor deals.

Required Skills & Experience

Minimum of 8+ years of Product Management experience in a B2B SaaS software company, ideally in the Healthcare technology space.

Track record shipping AI or ML-powered features from internal alpha through production — including defining rollout criteria, measuring success, and iterating.

Familiarity with LLMs, prompt engineering, and agentic architectures.

Technical depth sufficient to engage with engineering on API design, architecture decisions, and infrastructure constraints without needing everything translated.

Proven ability to drive a step change in the performance of a product and the value delivered to customers.

Strong communication and critical thinking skills to articulate complex issues clearly and drive progress in ambiguous or uncertain situations.

Balances day-to-day execution with strategic, long-term thinking, anticipating future possibilities and impacts on the business.

Builds consensus and gains commitment by providing sound rationale for recommendations that effectively address stakeholder needs and concerns, including C-Suite.

Uplevels how we work with a focus and interest in contributing to a strong product management culture.

Preferred Skills & Experience

Experience with healthcare data, clinical workflows, or health IT systems

Familiarity with MCP (Model Context Protocol), agentic frameworks, or building AI tooling for developers

Experience evaluating AI cost/quality tradeoffs at scale (latency, token cost, accuracy)

Background at a healthcare interoperability company, EHR vendor, or health data platform

Software Platform / Tools

Preferred: Jira, Confluence, Claude, Slack, Google suite, Productboard, Pendo

About the role