Applied AI Product Manager

The Applied AI Product Team converts Mercer's proprietary expertise, data, and experience into scalable AI products. Every product we ship builds infrastructure and knowledge that makes the next product faster and higher quality.

The Applied AI Product Manager owns the end-to-end delivery of AI products from discovery through to production operation. This is a builder role for someone deeply technical who can translate business problems into working products, drive discovery of what matters most, and own the platform and tooling that enables the team to move fast.

You'll own complete products. From talking to consultants about what they need, to shipping something they use internally, to turning it into a client product. You'll make decisions about scope, quality, and timing. You'll own the outcomes: adoption, business impact, and measurable value delivered.

This is a builder role. Someone who thinks like a product person and codes like an engineer. Someone who understands what is technically possible, what is valuable to build, and how to move fast in a large enterprise environment.

• End-to-end product ownership. Own products from discovery to production. In partnership with the business and engineering orgs, define what to build, why, in what sequence. Make the decisions about scope, quality, and timing that keep products moving. Own the outcomes like adoption, business impact, and measurable value delivered.
• Building and shipping products. You are not handing work off. You are shipping end-to-end. You understand the full lifecycle from idea to production operation to be used by consultants and clients.
• Discovery and opportunity identification. Actively find the highest-value problems Mercer can solve with AI. Understand the business deeply enough to spot opportunities before they are asked for. Validate that opportunities are real before committing resources. Identify tools consultants are already building and assess whether they should become products for broader use.

• 5+ years building and shipping products. A track record of shipping production systems, not just prototypes. Engineering, infrastructure, data, or product roles are relevant for this. From discovery to production operation. 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.

• You'll have the autonomy to move fast. You make technical and product decisions. You ship and learn.
• You'll understand the full impact of your work. You own the business impact and will see client and consultant impact with your products.
• You'll shape how we build. The operating model in AI is emergent. You'll help define what "fast" and "quality" mean for an AI product team. You'll influence how we work.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.