Lead Digital Product Manager - Agentic Operations

Overview

Lead the day-to-day management, optimization, governance, and performance of AI agents that support Marketing business operations, ensuring they deliver reliable, measurable, and compliant outcomes.

What you'll do

• Manage operational guardrails for agent and LLM usage, keeping agent activity within defined thresholds for time, cost, risk, autonomy, escalation, and business-approved use.
• Establish and monitor controls that prevent unmanaged agent behavior, including runaway loops, excessive retries, unsupported tool use, policy exceptions, and outputs that exceed approved risk tolerance.
• Oversee resilience of agent operations by defining fallback paths, failover routines, human-in-the-loop escalation, exception handling, and continuity plans when agents, models, tools, or knowledge sources are unavailable or degraded.
• Monitor and improve agent response-time performance across priority workflows, identifying latency drivers and partnering with technology teams to optimize routing, orchestration, caching, context handling, and service-level expectations.
• Evaluate whether the selected LLM, model, or model tier is appropriate for each task, balancing quality, complexity, latency, cost, risk, and required reasoning before routing work to higher-capability models.
• Maintain visibility into token usage, model consumption, cost trends, and capacity requirements at the agent, workflow, business area, and portfolio levels.
• Translate token, cost, latency, risk, and usage data into capacity management recommendations aligned with business-area strategic priorities.
• Develop executive-ready reporting that communicates agent health, performance, resilience, risk posture, capacity consumption, and recommended prioritization decisions.
• Partner with product, technology, risk, compliance, analytics, and business stakeholders to refine operating standards and ensure agentic capabilities scale responsibly across the enterprise.

What you'll need

• 5+ years of digital product management experience, or equivalent demonstrated through a combination of work experience, training, military experience, or education.
• 5+ years of experience in marketing operations, digital product management, marketing technology, AI-enabled operations, business execution, risk management, or a related function.
• 2+ years of experience managing, coaching, or directing the work of individual contributors, project teams, or cross-functional delivery partners.

Nice to have

• Experience managing or supporting enterprise marketing capabilities such as marketing automation, audience operations, campaign orchestration, personalization, customer engagement, content operations, or marketing workflow platforms.
• Experience with AI-enabled marketing operations, enterprise AI platforms, LLM-based capabilities, agent orchestration, observability tools, knowledge management, or workflow automation.
• Proficient understanding of marketing platforms, campaign operations, customer engagement capabilities, workflow orchestration, and the controls required to operate in a regulated financial services environment.
• Experience managing resources, objectives, priorities, and operating routines within a functional area, including capacity planning, performance tracking, issue resolution, and escalation management.
• Demonstrated ability to manage moderately complex to complex business, operational, technical, or risk challenges using data, sound judgment, and structured decision-making.
• Experience partnering with product, technology, analytics, compliance, risk, controls, legal, and business stakeholders to deliver outcomes while managing dependencies and risk.
• Strong communication and stakeholder management skills, including translating technical, operational, and risk concepts into clear business recommendations for managers and senior leaders.
• Ability to operate with a risk mindset, drive operational excellence, simplify processes, and hold teams accountable for quality, timeliness, and business outcomes.
• Experience applying governance, audit, privacy, information classification, responsible AI, model risk, or control expectations to digital, marketing, or technology-enabled business processes.
• Experience developing operating models, playbooks, performance scorecards, executive reporting, adoption plans, and capacity management routines for a business or platform function.
• Experience leading through ambiguity, influencing without direct authority, and aligning cross-functional partners around strategic priorities, trade-off decisions, and measurable outcomes.
• Financial services, consumer banking, lending, or regulated marketing experience.
• Experience with agile delivery practices, backlog prioritization, PI planning, Jira, product roadmaps, or cross-functional delivery routines.

Details

• Location: Bengaluru, India.
• Posting end date: 29 Oct 2026.