Applied AI Product Manager
HybridDublin, Leinster, Ireland
Job Summary
Own end-to-end delivery of AI products from discovery through production operation. Translate business problems into working products by defining scope, quality, and timing in partnership with engineering and business orgs. Actively identify high-value problems Mercer can solve with AI, validate opportunities, and assess existing consultant tools for broader product use. Ship full-stack applications and backend services using JavaScript/TypeScript, integrating and deploying AI systems in production with hands-on technical expertise. Drive adoption and measurable business impact while making autonomous technical and product decisions to move fast in a large enterprise environment.
Required Qualifications
- 5+ years building and shipping products
- A track record of shipping production systems, not just prototypes
- Engineering, infrastructure, data, or product roles are relevant
- You have owned the full lifecycle of a product
- You understand what it takes to ship, not just to build
- Deep technical expertise in building with AI
- Hands-on experience integrating, deploying, and operating AI systems in production
- You understand what works and what does not because you have shipped it
- JavaScript/TypeScript background
- You are comfortable with full-stack applications, backend services, and infrastructure code in this ecosystem
- Comfortable with ambiguity
- Discovering what to build, not just executing what is asked
- The ability to talk to users, understand their problems, and decide what to ship first
- Excellent communication
- Able to explain technical decisions and trade-offs to both engineers and non-technical stakeholders
- Experience with Model Context Protocol (MCP) building or consuming MCP servers and tools
- Exposure to AI safety and guardrails understanding how to build defensible AI products
- Product sense
- You have opinions about what users actually need
- You can spot a bad idea quickly
- You push back on scope creep
- All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
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