(Agentic) Product Manager

Backbase; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Backbase, a leader in enterprise banking software, seeks a Product Manager to own AI agent capabilities across Durable Processes, Data Connectors, and AI Agents. You will architect end-to-end AI solutions, partner with platform PMs, and guide cross-functional teams to deliver impact at enterprise scale.

You will drive discovery, define Year 1 priorities, and measure outcomes while ensuring reliability, compliance, and cost-awareness in a dynamic banking environment.

Qualifications

• Experience shipping AI-native products or features that users love
• Cross-functional initiatives spanning multiple teams or product areas
• Understanding of AI capabilities, costs, latency, and compliance from day one
• Ability to balance platform coherence with local feature delivery
• Familiarity with enterprise software and product discovery with customers

Responsibilities

• Define the AI capability roadmap and determine Year 1 deliverables and out-of-scope features
• Own enterprise-grade quality: reliability, explainability, compliance, and safety
• Shape AI surface design across the platform for consistent UX and behavior
• Lead cross-pillar alignment and define integration points with platform PMs
• Drive customer discovery to identify valuable AI use cases and address customer fears
• Make data-driven decisions using usage, cost, latency, and sentiment signals
• Collaborate with platform PMs to specify data flows and success metrics
• Communicate progress and measure impact of AI capabilities across teams

Job description

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.

• 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