Product Manager -Automations Backend, Risk & Operations

Dhani Loans and Services (DLSL); Mumbai; On-site; INR 2,400,000 - 3,800,000; Full time

Job summary

Dhani Loans and Services (DLSL) seeks a Product Manager Automations to own the end-to-end automation roadmap for backend, risk and operations. You will partner with engineering, RMS, operations, finance and compliance to identify high-value processes to automate and translate them into scalable AI-enabled solutions.

The role emphasizes AI-first thinking, data-driven impact tracking, and compliance with SEBI and exchange requirements.

Qualifications

• 2–5 years of product management or equivalent experience.
• Strong understanding of APIs, data flows and system dependencies.
• AI-first approach to research, specs and prototyping.

Responsibilities

• Find high-value manual processes and build a business case to automate them.
• Turn automation into growth: faster payouts, instant pledge and margin, quicker issue resolution.
• Track and report savings and impact with hard numbers.
• Own the automation roadmap and drive delivery with backend engineering, RMS, operations, finance and compliance.
• Write clear specs for system integrations, rules engines and data pipelines.
• Keep automation audit-ready and compliant with SEBI and exchange requirements.
• Deploy AI agents and LLM workflows for operations: exception handling, reconciliation matching, document processing, alert triage, support resolution.
• Use AI/ML for risk: anomaly detection, early-warning signals, surveillance support.
• Use AI tools daily for process mapping, analysis, prototyping and specs.

Skills

Automation

SQL

Python

Low-code tools

Tools

SQL

Python

Low-code tools

Job description

Product Manager Automations (Backend, Risk & Ops)

Experience- 2 to5 years

What will you do?

Scale and grow

• Find the highest-value manual processes and build the business case to automate them
• Turn automation into growth: faster payouts, instant pledge and margin, quicker issue resolution, and capacity

to onboard far more clients at the same cost

• Track and report savings and impact in hard numbers

Build and manage

• Own the automation roadmap and drive delivery with backend engineering, RMS, operations, finance and compliance

compliance

• Write clear specs for system integrations, rules engines and data pipelines
• Keep every automation audit-ready and compliant with SEBI and exchange requirements

AI-first

• Deploy AI agents and LLM workflows for operations: exception handling, reconciliation matching, document

processing, alert triage, support resolution

• Use AI and ML for risk: anomaly detection, early-warning signals, surveillance support
• Use AI tools daily for process mapping, analysis, prototyping and specs

Non-negotiables

• AI-first approach. You default to AI in how you work (research, specs, analysis, prototyping, testing) and in
• what you ship (AI-led features, agents, automation). You can show real examples of both.
• Sound technical depth. You understand how your product works under the hood (APIs, data flows, system
• dependencies, latency and failure points) well enough to challenge engineering and make trade-offs
• End-to-end ownership. You own the outcome, not the backlog: discovery, build, launch, adoption, revenue
• and ongoing scale.

Revenue and growth accountability. You set targets, track them weekly, and know which levers move them.

Out-of-the-box thinking. You question how things are done today and bring ideas the market has not seen

yet.

Go-getter and self-learner. You pick up new domains, tools and regulations on your own and move without

waiting for perfect information.

Good to have

• Stock broking back-office, RMS or clearing and settlement experience
• Knowledge of SEBI margin, collateral and reporting frameworks
• Hands-on with SQL, Python or low-code automation tools