---
title: "(Agentic) Product Manager"
company: "Backbase"
company_url: "https://www.remjobs.works/companies/backbase"
url: "https://www.remjobs.works/job/backbase-agentic-product-manager-14d7c905-a362-40a4-b70c-f8ce9ba6541b"
apply_url: "https://job-boards.greenhouse.io/workatbackbase/jobs/8188394"
workplace: onsite
location: "Hyderabad"
employment_type: unspecified
seniority: mid
role: product
region: india
skills: ["llm"]
date_posted: 2026-09-09T14:50:11.000Z
first_seen_by_remjobs: 2026-09-15T15:51:04.542Z
---

# (Agentic) Product Manager

**Backbase** · Hyderabad

Apply: https://job-boards.greenhouse.io/workatbackbase/jobs/8188394

## About Backbase

One operating system where customers, employees, and AI agents work as one. 120+ banks run on Backbase. See how the Unified Frontline scales your operations.

## About the role

#### 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

---

Source: Backbase's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/backbase-agentic-product-manager-14d7c905-a362-40a4-b70c-f8ce9ba6541b