Senior Product Manager II - AI Platform & Agentic Experience
Remote (must be based in the US)Full-TimeSenior
Salary185,000 - 205,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- Minimum of 8+ years of Product Management experience
- Required Skills
- Artificial IntelligenceProduct ManagementJiraConfluenceGoogle WorkspaceSlackPrompt Engineering
Requirements
- 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.
- Experience with healthcare data, clinical workflows, or health IT systems (Preferred).
- Familiarity with MCP (Model Context Protocol), agentic frameworks, or building AI tooling for developers (Preferred).
- Experience evaluating AI cost/quality tradeoffs at scale (latency, token cost, accuracy) (Preferred).
- Background at a healthcare interoperability company, EHR vendor, or health data platform (Preferred).
Responsibilities
- 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.
- 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.
- 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.
View Full Description & ApplyYou'll be redirected to the employer's site
