<h2><strong>About This Role</strong></h2> <p>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.</p> <p>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.</p> <p>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.</p> <h2><strong>What You'll Own</strong></h2> <h3>Strategic ownership</h3> <ul> <li>Define the AI capability roadmap — which features move the needle, which delight customers, which drive competitive advantage</li> <li>Make the hard calls: what ships in Year 1, what comes after, what's out of scope</li> <li>Own the quality bar — "enterprise grade" means reliable, explainable, compliant, and safe. Set and enforce that standard.</li> <li>Shape how AI surfaces across the platform — consistency in UX, tone, and behavior across copilot, solution builder, and other capabilities</li> </ul> <h3>Execution leadership</h3> <ul> <li>Lead cross-pillar alignment — work with peer PMs to define integration points and success metrics</li> <li>Conduct customer discovery: what AI capabilities matter most, what fears do they have about AI, what use cases are most valuable</li> <li>Make data-driven decisions: usage patterns, LLM cost, inference latency, customer sentiment all inform roadmap</li> <li>Unblock ambiguity: when technical feasibility isn't clear (cost, latency, quality), you synthesize information and move forward decisively</li> </ul> <h3>Partnership with platform PMs</h3> <ul> <li>Collaborate with peer PMs who own the platform pillars</li> <li>Establish clear integration contracts: where AI surfaces in their UIs, how data flows from their features to your LLM calls, how they measure success</li> </ul> <h2><strong>We're Looking For</strong></h2> <p> </p> <p><strong>Experience shipping one or more of the following:</strong></p> <p>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.</p> <h3> </h3> <h3>Core capabilities</h3> <ul> <li>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.</li> <li>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.</li> <li>Customer reality grounding – You spend time with users and understand their AI skepticism. You don't oversell; you deliver reliably.</li> <li>Quality obsession – You know that "enterprise grade" is non-negotiable. Explainability, compliance, reliability, and safety are as important as feature velocity.</li> <li>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.</li> </ul> <h3>Nice to have</h3> <ul> <li>Shipped copilot or AI-assisted features in a production SaaS product</li> <li>Experience with LLM cost optimization, latency budgeting, or inference infrastructure</li> <li>Familiarity with enterprise workflow, process automation, or BPM domains</li> <li>Track record of shipping cross-functional initiatives with competing stakeholders</li> </ul> <p> </p>