Product Owner (AI)

Role Summary 

InvoiceCloud is hiring a Product Owner, AI to drive day-to-day execution for our newly formed AI Development Team in Hyderabad. Reporting to the VP of Product Strategy, you will partner closely with the Lead Product Manager, Engineering Team Lead, and Principal Engineer to ship AI-enabled modules from concept to production—quickly, safely, and with strong measurement. 

This role is an individual contributor product role with a clear emphasis on delivery excellence: keeping work continuously groomed and ready, driving crisp requirements, coordinating dependencies, and ensuring each release meets quality bars for evaluation, telemetry, and observability. 

 

What You’ll Do 

• Own execution for the AI team backlog: translate product intent into well-scoped epics/stories, clear acceptance criteria, and predictable sprint plans that keep the team unblocked and moving. 

• Maintain “3 sprints ready” hygiene: ensure the team has ~3 sprints of groomed, prioritized work with dependencies identified early and resolved through proactive coordination. 

• Ship incrementally, not in big bangs: structure delivery into thin, testable slices (pilots → expanded cohorts → GA), with explicit release criteria and rollback plans where needed. 

• Build production-grade AI feature readiness: partner with engineering and the principal AI lead to ensure every AI capability includes: 

• evaluation strategy (offline + online where appropriate), 

• quality and safety checks, 

• telemetry/observability, 

• and clear thresholds for launch decisions. 

• Run a clean operating cadence: lead sprint-level rituals and product execution rhythms (grooming, pre-planning, risk/dependency reviews) so stakeholders have visibility and there are fewer surprises. 

• Drive cross-functional alignment: coordinate with stakeholders required to launch AI modules responsibly (e.g., Security/Compliance, Customer Success, Support, Implementations) as those motions are defined. 

• Turn ambiguity into decisions: document key decisions, tradeoffs, and open questions; drive closure with options and recommendations. 

• Measure what matters: define and maintain module-level scorecards (adoption, performance, quality, latency, deflection/efficiency outcomes as applicable) and communicate progress with high signal and low noise. 

 

What Success Looks Like (First 30/60/90 Days) 

First 30 days 

• You’ve aligned with the VP of Product Strategy, Lead PM, Engineering Lead, and Principal Engineer on near-term scope. 

• A single source of truth is live (Jira/Confluence) with clear definitions of “ready,” “done,” decision logs, and an execution cadence. 

• Backlog hygiene is established