Senior Product Operations Manager (AI-Native)

CData Software is a company that delivers connectivity and control for enterprise AI. The Senior Product Operations Manager will lead the transformation into an AI-native product organization, focusing on redesigning product lifecycle processes and building systems that enhance product development through AI.

Responsibilities:

• Redesign and operationalize the end-to-end product lifecycle to embed AI across planning, design, development, testing, documentation, support, and release workflows
• Partner with subject matter experts to create playbooks for AI-native product development
• Define and track productivity, quality, and velocity metrics that measure AI-driven leverage across the product lifecycle
• Define and evolve the architecture, tooling, and systems that support an AI-native product lifecycle, including analytics platforms, automation tools, and developer productivity frameworks
• Build and deploy automation and agent-driven workflows that reduce manual overhead and increase execution speed, while also enabling others to build through templates and tooling
• Codify operating models into scalable systems, standards, and repeatable processes across teams
• Drive cross-functional adoption through enablement and training
• Ensure measurable improvements in cycle time, decision quality, and operational clarity through AI adoption
• Build AI-assisted roadmaps and launch communication systems that connect product strategy through execution and go-to-market delivery
• Design real-time visibility for leadership into product velocity, adoption, monetization, and AI-driven productivity impact
• Develop analytics pipelines, dashboards, and reporting frameworks that generate actionable insights
• Improve data quality, governance, and accessibility across Product

Requirements:

• 8+ years of demonstrated success and impact in an Ops or Product Management role. Exceptional candidates from adjacent disciplines will also be considered
• Comfortable designing, prototyping, or directly building AI-enabled workflows using modern tooling (LLMs, orchestration frameworks, APIs, automation platforms)
• Strong analytics experience (BI tools, experimentation frameworks, SQL, etc.)
• Exceptional communication and executive presentation skills with a strong affinity towards storytelling with data
• Experience scaling operating systems in multi-product SaaS environments strongly preferred