(Agentic) Product Manager

Job description

## **About This Role** We are building an agentic banking platform for large enterprise banks. Multi-modal AI converts business intent into autonomous agents that orchestrate processes, integrate data, and make intelligent decisions — turning weeks of manual work into hours. You will lead AI agents and intelligent automation — building capabilities that deploy autonomous agents to solve complex banking problems at enterprise scale. This is not a pillar-specific role. You'll work across three interconnected pillars (Durable Processes, Data Connectors, AI Agents), collaborating with peer PMs to architect and ship agentic solutions end-to-end. You'll report directly to the Product Director and own the complete journey: from defining what agentic capabilities matter most, to shipping them, to measuring their impact. This role is for a PM who understands how AI agents fundamentally change enterprise automation, who can navigate technical and business complexity, and who ships with both ambition and rigor. ## **What You'll Own** ### Strategic ownership - Define the AI capability roadmap — which features move the needle, which delight customers, which drive competitive advantage - Make the hard calls: what ships in Year 1, what comes after, what's out of scope - Own the quality bar — "enterprise grade" means reliable, explainable, compliant, and safe. Set and enforce that standard. - Shape how AI surfaces across the platform — consistency in UX, tone, and behavior across copilot, solution builder, and other capabilities ### Execution leadership - Lead cross-pillar alignment — work with peer PMs to define integration points and success metrics - Conduct customer discovery: what AI capabilities matter most, what fears do they have about AI, what use cases are most valuable - Make data-driven decisions: usage patterns, LLM cost, inference latency, customer sentiment all inform roadmap - Unblock ambiguity: when technical feasibility isn't clear (cost, latency, quality), you synthesize information and move forward decisively ### Partnership with platform PMs - Collaborate with peer PMs who own the platform pillars - Establish clear integration contracts: where AI surfaces in their UIs, how data flows from their features to your LLM calls, how they measure success ## **We're Looking For** **Experience shipping one or more of the following:** AI-native products or features that users love · Enterprise software with AI capabilities built in (not tacked on) · Products that required deep LLM integration and cost optimization · Cross-functional initiatives that span multiple teams or product areas · Experiences that balance power with usability. ### ### Core capabilities - AI fluency, not just enthusiasm – You understand LLM capabilities and limits. You know the difference between a prototype and a production system. You think about cost, latency, hallucination, and compliance from day one. - Systems thinking across pillars – You see how an AI feature in one pillar impacts the others. You optimize for platform coherence, not local feature wins. - Customer reality grounding – You spend time with users and understand their AI skepticism. You don't oversell; you deliver reliably. - Quality obsession – You know that "enterprise grade" is non-negotiable. Explainability, compliance, reliability, and safety are as important as feature velocity. - Technical depth without being an engineer – You read research, understand prompt engineering tradeoffs, can discuss model selection and fine-tuning. You think rigorously about technical problems. ### Nice to have - Shipped copilot or AI-assisted features in a production SaaS product - Experience with LLM cost optimization, latency budgeting, or inference infrastructure - Familiarity with enterprise workflow, process automation, or BPM domains - Track record of shipping cross-functional initiatives with competing stakeholders