Backbase

(Agentic) Product Manager

Hyderabad, India · Work style not stated

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About the role

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EmployerBackbase
LocationHyderabad, India
Work styleWork style not stated
Employer posted1 month ago

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.

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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

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