AI Product Manager Enterprise SaaS Finance Procurement

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, Lowe’s, AbInbev, Carrier, Neiman Marcus, Saks, Advance Auto Parts etc and have saved over $1 Billion in real dollars for customers.

Why this role exists?

We’re 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 you’ll 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

• Run deep discovery with Fortune 1000 stakeholders and Discover Dollar analysts to map jobs-to-be-done, decision points, and data realities (SAP/Oracle/Coupa/Ariba exports, data lake, data warehouse extracts, contracts, invoices, emails, credit notes).
• Validate problems and solutions with prototypes (AI tools like Lovable, Replit, Figma, Low-code tools etc) and pilot metrics before committing engineering.
  
  

Product Delivery

• Lead cross-functional squads (ML/DS, Backend, Frontend, Design, Data Platform, Security) to ship high-quality increments on a predictable cadence.
• Write crisp PRDs, acceptance criteria, and instrument the product for analytics/telemetry (events, funnels, precision/recall dashboards).
• Drive integrations and partner workflows (e.g., SAP S/4HANA, Oracle, Coupa/Ariba, RMS) with clear APIs and data contracts.
  
  

AI/ML Product Craft

• Shape AI features such as document extraction (OCR + NLP), contract terms understanding, Complex Agentic AI workflows, LLM/RAG assistants for analysts, anomaly/risk scoring, and human-in-the-loop review.
• Partner with DS/ML on evaluation frameworks (offline/online), data labeling strategy, prompt & model versioning, and cost/performance tuning (latency, tokens, GPU/CPU budgets).
• Establish monitoring/guardrails: drift, bias, hallucination containment, red-teaming, feedback loops.
  
  

Governance, Privacy & Security

• Embed privacy-by-design and enterprise controls (role-based access, audit logs, retention, encryption).
• Coordinate with customers’ InfoSec/Legal on DPAs, SOC 2/ISO 27001 alignment, data residency, and model risk documentation (model cards, DPIAs where needed).
  
  

Customer & GTM

• Own product pilots, success criteria, and value realization (business cases, ROI).
• Enable Sales/CS with narratives, demos, pricing/packaging inputs, and win/loss insights.
• Collect structured feedback and convert it into backlog and experiments.
  
  

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 you’ll move

• Business impact: Verified recovery dollars, time-to-detect, time-to-close.
• Model quality: Precision/recall/F1 by use case; false positive rate; drift indicators.
• Efficiency: Cost per decision (tokens/compute), latency, analyst throughput.
• Adoption: Active users, task completion rate, retention, NPS/CSAT.
• Reliability & risk: Incident rate, hallucination guardrail triggers, SLA/SLO adherence.
  
  

Must-have Qualifications

• 5+ years in product management with at least 1 year of shipping AI/ML-powered features in production (LLMs/RAG/NLP/vision/ML detection).
• Track record in B2B enterprise SaaS with complex data and security needs; comfortable working with Procurement/AP/Finance stakeholders.
• Strong discovery and storytelling skills: can turn messy datasets and ops realities into a clear product narrative and roadmap.
• Technical depth to partner with DS/ML/Engineering understands evaluation metrics, A/B testing, data pipelines, API design, and basics of SQL/Python.
• Analytics-first: habit of instrumenting funnels, defining guardrails, and making decisions from dashboards and user studies.
• Excellent written communication (PRDs, RFCs, customer docs) and stakeholder management across Sales, CS, Legal, and Infosec.
• Bachelor’s in Engineering/CS/Math/Statistics or equivalent experience.
  
  

Nice-to-have

• Domain exposure to Source-to-Pay, AP automation, recovery audit, contract analytics, or financial controls.
• Experience with SAP/Oracle/Workday/Coupa/Ariba data models and enterprise integrations.
• Familiarity with MLOps (MLflow/W&B), vector databases (FAISS/Pinecone), and eval frameworks for LLMs.
• Understanding of model risk management, secure AI patterns, and enterprise compliance expectations.
• Prior startup or zero-to-one product experience.
  
  

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 You’ll Get To Do

• Ship AI that recovers real money for global enterprises. (Already saved over $1B+ with current product, need to 10X the impact)
• Build analyst-in-the-loop systems that blend human judgment with AI scale.
• Influence pricing/packaging and help define the category for AI-assisted recovery audit.
  
  

Compensation & Benefits

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

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