Applied AI Product Manager

Marsh

Marshs purpose is to shape the future through perspective expertise and solutions empowering clients to thrive. With a foundation built over 150 years Marsh brings clarity to complexity through industry knowledge and data-driven insights and builds trusted relationships grounded in integrity and service.

Marsh is seeking an Applied AI Product Manager to help translate advances in AI into useful reliable production-ready products. This role sits at the intersection of customer discovery product strategy technical execution and responsible deployment. You will partner across engineering design data research go-to-market legal and customer-facing teams to identify high-value workflows prototype AI-powered experiences define quality standards and deliver measurable business and user impact.

We will count on you to:
* Own product strategy roadmap and execution for applied AI capabilities across one or more product areas.
* Identify workflows where AI can materially improve speed quality decision-making automation or user experience.
* Translate ambiguous customer problems into clear product requirements success metrics prototypes and release plans.
* Partner with engineering and AI teams on LLM-powered systems including prompts context design retrieval tool use agents model selection and product architecture tradeoffs.
* Define and run practical evaluation processes for AI features including quality rubrics offline evaluations regression tests online metrics user feedback loops and human review.
* Make product decisions across accuracy latency cost reliability safety privacy and user trust.
* Use modern AI tools and coding/productivity harnesses to accelerate research prototyping analysis QA and product thinking.
* Monitor shipped AI experiences for quality failure modes adoption business impact and operational risk.
* Collaborate with design to create intuitive AI UX including graceful failure states user control transparency and feedback mechanisms.
* Work with legal security compliance and policy partners to support responsible deployment.
* Enable sales support customer success and marketing with clear positioning demos launch materials and customer narratives.

What you need to have:
* 2 years of experience building shipping implementing analyzing or operating software data AI automation or technical products.
* Strong product judgment and the ability to turn fuzzy problems into sharp product bets.
* Demonstrated ability to build ship prototype or meaningfully contribute to technical products.
* Familiarity with modern AI tools and workflows including hands-on use of AI assistants coding agents or product/research harnesses.
* Working knowledge of LLM product patterns: prompt design context engineering tool/function calling agents evaluation failure modes and when retrieval or external knowledge sources are useful.
* A strong evaluation mindset: you can define what good means measure quality find regressions and connect AI performance to user and business outcomes.
* Technical fluency with APIs data product analytics and system tradeoffs (SQL Python or lightweight scripting is helpful but not required).
* Ability to distinguish between a model problem data problem UX problem workflow problem and expectation-setting problem.
* Clear communication with both technical and non-technical audiences.
* High ownership and comfort working in ambiguity.

What makes you stand out:
* Experience shipping AI ML automation data developer or workflow products.
* Experience creating and running evaluations for AI systems (test sets grading rubrics failure analysis regression tracking human review workflows).
* Experience with observability quality dashboards annotation workflows or human-in-the-loop systems.
* Experience with enterprise AI regulated industries privacy-sensitive products or compliance-heavy environments.
* Familiarity with retrieval systems search knowledge management or other ways of giving AI systems useful context.
* Background in engineering data science research technical consulting design or founder-like product 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 95000 colleagues Marsh helps build the confidence to thrive through the power of perspective. For more information visit 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 disability ethnic origin family duties gender orientation or expression marital status nationality parental status personal or social status political affiliation race religion and beliefs sex/gender sexual orientation or expression skin color veteran status (including protected veterans) or any other characteristic protected by applicable law. If you have a need that requires accommodation please let us know by contacting

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.