Discover Dollar - AI Product Manager - Finance / Procurement Domain - Enterprise SaaS

About the job

About Discover Dollar

Discover Dollar is an AI-driven recovery audit platform used by large enterprises to identify and capture overpayments and revenue leakages across Source-to-Pay. We blend domain expertise (procurement, AP, contracts) with modern AI (LLMs, NLP, anomaly detection) to surface opportunities measured in real dollars. We have worked with enterprises like Target, Lowes, AbInBev, Carrier, Neiman Marcus, Saks, Advance Auto Parts etc and have saved over $1 Billion in real dollars for customers.

Why this role exists?

Were scaling our AI product suite - invoice & contract and terms extraction, anomaly and overpayment detection, and analyst workflows for both internal and client users. We need a product leader who can turn ambiguous customer pain into shipped, secure, and measurable AI features that enterprise customers love and finance leaders trust.

What youll own?

Strategy & Outcomes

• Define and own the AI product strategy and measurable outcomes for recovery, accuracy, and time-to-value across enterprise accounts.
• Translate market and customer signals (Procurement, AP, Audit, Infosec, Legal) into a prioritized roadmap with clear trade-offs.

Product Discovery

Product Delivery

AI / ML Product Craft

Governance, Privacy & Security

Customer & GTM

What success looks like?

30 days : Understand domain and data flows; publish product health baseline; ship a small improvement (e.g., analyst UX, cost reduction).

60 days : Deliver a validated AI feature MVP (e.g., improved clause extraction or anomaly ranking) to a pilot customer with a signed success plan.

90 days : Hit agreed accuracy + adoption targets; publish a 2-quarter roadmap tied to revenue and recovery dollars; formalize AI evaluation & monitoring dashboards.

Key KPIs / metrics youll move

Must-have Qualifications

Our current tech context (for information)

AI Stack : LLMs (commercial & open-source Open AI, Llama, Claude), RAG pipelines, OCR + NLP for documents,

Data stack : cloud object storage, relational DBs, event pipelines, analytics stack like Databricks, Elastic Search,

Cloud Stack : Primarily Azure but build cloud agnostic product to make it deployable in AWS, GCP etc.

Dev Stack : Python, Javascript, React

Product tooling : Clickup (Jira equivalent), Postman, Figma

How We Work

Bangalore-based hybrid team with collaboration across India and North America

Pragmatic agile : weekly planning, monthly business reviews, quarterly product reviews tied to revenue and recovery outcomes.

What Youll Get To Do

Compensation & Benefits

Competitive with Bangalore market for Product Manager talent, plus benefits and performance incentives.

(ref : iimjobs.com)