Lead Product Manager (AI)-2

Overview

Own the product strategy and roadmap for an AI agent platform serving Mastercard issuers and acquirers, enabling non-technical financial operations teams to surface insights, investigate anomalies, and act on reconciliation data through natural language.

What you'll do

• Own the end-to-end product strategy for the AI agent platform: define the vision, articulate the roadmap, and maintain a prioritized backlog that reflects real customer need, business impact, and delivery feasibility.
• Drive customer discovery alongside forward deployed engineers: conduct structured interviews with issuers and acquirers, synthesize operational workflow pain points into validated product requirements, and distinguish symptoms from root causes.
• Translate PoC findings and field signal into scoped, shippable product briefs with clear requirements, acceptance criteria, and edge cases that engineering teams can build against.
• Define and own the agent capability roadmap, deciding which workflows get automated, in what sequence, and at what level of AI autonomy, balancing customer readiness, data availability, and compliance constraints.
• Set and track outcome-oriented success metrics for each agent and platform capability, measuring actual customer impact (time saved, errors reduced, queries resolved).
• Partner with engineering leads to make build-versus-buy-versus-configure decisions and evaluate feasibility claims honestly.
• Own the compliance and governance interface with legal, security, and risk teams, translating data classification, audit requirements, and approval gates into product requirements.
• Manage stakeholder expectations across business, technology, and customer-facing teams, communicating roadmap trade-offs and defending prioritization decisions with evidence.
• Define the agent maturity model (informational, insight, recommendation, action) and the criteria for advancing a capability to the next tier.
• Identify platform-level patterns across agent builds and advocate for shared infrastructure investments that accelerate future delivery.
• Contribute to pre-sales and commercial conversations as the product authority, setting honest expectations on what AI can deliver today, what requires roadmap investment, and what is out of scope.

What you'll need

• Master's or bachelor's degree in Business, Computer Science, Engineering, or a related field.
• Significant experience in product management for data, analytics, or AI products.
• Proven track record owning and shipping AI or data products in enterprise B2B environments, with products in production delivering measurable value.
• Deep understanding of the AI product lifecycle, from discovery and PoC through productization, compliance review, and post-launch iteration.
• Strong customer instinct: experience running discovery sessions with non-technical domain experts and translating operational workflows into clean product requirements.
• Comfortable with the economics of AI products, including inference cost, latency trade-offs, model capability ceilings, and evaluation rigor.
• Experience managing products in regulated industries (financial services, payments, or comparable), understanding what compliance and data governance constraints mean for product scope.
• Strong written communication: PRDs, briefs, and roadmap documents clear enough for stakeholders and engineers.
• Sharp prioritization discipline: able to say no to a well-articulated customer request, explain why, and offer a path forward.
• Experience working in a platform-and-application product model, balancing agent-specific features against platform capabilities.
• Collaborative leadership style with the ability to influence without authority across engineering, design, data science, sales, and compliance.
• Familiarity with agentic AI concepts (tool use, retrieval, reasoning loops, guardrails, safety) sufficient to write meaningful acceptance criteria and evaluate implementations.

Details

• Location: Pune, India.
• Corporate security responsibilities apply: abide by Mastercard security policies, ensure confidentiality and integrity of accessed information, report suspected violations, and complete mandatory security training.