Product Operations Manager (AI Governance Platform)
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Job Description
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The Credo AI Governance Platform operates as the trust layer for global enterprises focused on transforming their organizations with AI. It is powered by a knowledge graph that is updated by agents, enriched with global regulatory intelligence and curated business context, supported by Forward-Deployed Experts, giving enterprises a clear view of the risk profile behind every AI system. By making that risk visible, we enable teams to move quickly and confidently scale across systems to adopt compliant AI, faster and in a compliant manner.
What You'll Do
We're a small team shipping fast, and we've outgrown running planning, releases, and customer feedback on goodwill alone. You'll build the operating system for our product and engineering team, and run it yourself.
You'll own the rhythm: quarterly planning, 6-week releases, sizing, release countdowns, and the flow of customer feedback into the roadmap. When it works, teams commit to what fits, risks surface early, and every release lands cleanly.
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 each product manager to choose activation, adoption, retention, quality, and delivery metrics that connect roadmap work to customer and business outcomes.
Run quarterly planning and our 6-week release cadence, with plans, owners, dependencies, and target product metrics in one place.
Lead sizing with each product team every cycle, and show leadership where engineering capacity is going and what product outcomes that capacity is expected to move.
Own the release calendar and run the countdown, from readiness reviews to go/no-go to post-launch checks.
Collect go/no-go sign-offs from QA, Product, UX, and Engineering, and hold a release when anyone says no.
Build a ticket intake process: complete, de-duplicated tickets rolled up into customer themes that feed planning and product health metrics.
Build dashboards for delivery progress, release readiness, service levels, feature adoption, customer feedback themes, and product health.
Publish product metrics reviews for leadership, highlighting movement against goals, risks, owners, and follow-up actions.
Work with product managers on release notes and get them to Customer Success and Support on time.
Use AI agents to compile readiness reports, summarize ticket themes, detect metric anomalies, and keep our tools clean.
What Hands-On Means Here
You run the meetings, update the boards, and write the status reports yourself.
You build the dashboards and automations, not just request them.
You chase the missing sign-off the night before a release.
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Credo AI
View Company ProfileCredo AI (operating at credo.ai) is an AI governance platform engineered for enterprises seeking to deploy artificial intelligence responsibly. Founded in 2020 by Navrina Singh and headquartered in Palo Alto, California, Credo AI specializes in automating oversight, risk management, and compliance for AI systems—addressing the growing challenge of unchecked AI adoption. Unlike traditional governance tools that rely on static checks, Credo AI pioneers *contextual, continuous, and comprehensive* AI governance, extending its capabilities to *Agent Governance*—a registry for every AI agent, purpose-built for monitoring dynamic, autonomous systems. Under the hood, the platform combines policy enforcement, real-time monitoring, and explainability tools to track AI behavior across models, agents, and workflows. This allows global enterprises to scale AI adoption while mitigating risks, proving compliance, and maintaining trust. Backed by $42.0 million across three funding rounds—including a $21.0 million Series B led by Sands Capital—Credo AI is positioned as the category-defining leader in responsible AI governance.
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