AI Product Manager

Ovii's Interpretation of the Role

The AI Product Manager will shape and deliver autonomous spend‑management agents, partnering with engineering, data science, UX, and go‑to‑market teams. The role requires owning product vision, architecture, and roadmap while engaging Fortune‑100 CXOs to translate business pain points into AI‑driven solutions.

Role Snapshot

• Define AI product vision & roadmap
• Own end‑to‑end AI agent delivery
• Collaborate across engineering, data science, UX
• Engage Fortune‑100 CXOs on spend workflows
• Drive observability, compliance, and reliability
• Shape multi‑agent design patterns

Must-Have Requirements

• Product management (B2B)
• AI/ML product experience
• Enterprise data systems knowledge
• AI evaluation and reliability techniques
• B2B product management
• first AI product launches

Nice-to-Have Signals

• Launching first AI products
• Multi‑agent system design
• enterprise data systems

Work Setup

• Location: India
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: United States, India
• Travel: Occasional travel to HQ in Chennai
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Salary range
• Visa sponsorship
• Equity
• Bonus

What You'll Likely Work On

• Own product vision, architecture, and execution for AI‑driven spend‑management use cases such as invoice validation, vendor onboarding, and cross‑border payments
• Define agent design patterns—including prompting, tool orchestration, retrieval pipelines, and policy hierarchies—to balance accuracy and business context
• Implement end‑to‑end observability: health monitoring, confidence scoring, and auditability of AI decisions
• Partner with AI/ML and data engineering teams to build closed‑loop training pipelines and evaluation sets with human‑in‑the‑loop feedback
• Drive high‑fidelity UX for AI interactions across UI, email, chat, and APIs, ensuring explainability and proactivity
• Lead technical and strategic conversations with enterprise architects, CFOs, CIOs, and Chief Procurement Officers
• Author clear product documentation (PRDs, solution briefs, agent blueprints) and deliver demos to internal and external stakeholders

Good Fit If You Have

• 4–6 years B2B product management experience, including at least 2 years launching first AI products
• Proven track record with enterprise‑scale data systems (invoice, procurement, contracts, FX/tax)
• Strong understanding of AI evaluation metrics (factuality, grounding, latency, hallucination minimization)