Credo AI

Product Operations

• Own the product metrics operating system across the product organization
• Define the metric taxonomy, source-of-truth dashboards, reporting cadence, and accountability model
• Partner with product managers to select activation, adoption, retention, quality, and delivery metrics
• Run quarterly planning and the 6-week release cadence
• Maintain plans, owners, dependencies, and target product metrics
• Lead sizing with product teams and communicate engineering capacity and expected product outcomes to leadership
• Own the release calendar and run readiness reviews, go/no-go decisions, and post-launch checks
• Collect QA, Product, UX, and Engineering sign-offs and hold releases when necessary
• Build a ticket intake process and roll tickets into customer themes
• Build dashboards for delivery progress, release readiness, service levels, feature adoption, customer feedback themes, and product health
• Publish product metrics reviews for leadership, including goals, risks, owners, and follow-up actions
• Coordinate release notes with product managers and deliver them to Customer Success and Support
• Use AI agents for readiness reports, ticket-theme summaries, metric-anomaly detection, and tool maintenance
• Run meetings, update boards, write status reports, build dashboards and automations, and follow up on missing release sign-offs

Explore Product Operations Manager at Credo AI. Review requirements and application details.

Product Operations Manager

Product Manager

• Own the roadmap for AI solutions with clear monthly and quarterly outcomes
• Own product metrics including assistant activation, completion rate, recommendation acceptance, time saved, AI quality/eval pass rates, and feature retention
• Move prototypes through validated, beta, and generally available stages
• Ship AI-powered governance intake that completes assessments, asks follow-up questions, and assigns risk tiers
• Turn the governance knowledge graph into actionable customer recommendations about controls, regulations, and next steps
• Define AI quality measurement through evaluations, acceptance thresholds, and release criteria
• Partner with Sales, Marketing, and Customer Success on packaging, pricing, positioning, and launches
• Conduct monthly customer conversations and incorporate customer language into the roadmap
• Prompt, test, and break AI features before customers do
• Write evaluation criteria and review sample outputs
• Build quick prototypes with AI coding tools before engineering investment

Explore Product Manager, AI Solutions at Credo AI. Review requirements and application details.

Open roles

Product Operations Manager

Product Manager, AI Solutions