Senior Product Manager, Engineering Intelligence Platform

MetAntz; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Skan.ai is seeking a Senior Product Manager to lead the Engineering Intelligence Platform (EIP). You will shape a data-driven product category, partnering with engineering, data science, design, and GTM teams to surface actionable insights across telemetry, workflows, and AI adoption.

You’ll engage with CIOs/CTOs, delivery leaders, and enterprise customers to drive adoption while balancing ambitious roadmaps, AI capabilities, and enterprise-scale requirements.

Qualifications

• 6+ years of product management experience in enterprise SaaS.
• Strong understanding of software engineering workflows and DevOps tooling.
• Experience translating complex workflows into scalable enterprise products.
• Ability to engage with CIOs/CTOs and engineering leaders.
• Excellent written and verbal communication.

Responsibilities

• Own the vision and roadmap for EIP across engineering telemetry and delivery intelligence.
• Define requirements, prioritize roadmap investments, and ship iterative capabilities.
• Engage with CIOs/CTOs and engineering teams to identify bottlenecks and opportunities.
• Develop productivity frameworks with meaningful signals on execution health and quality.
• Lead cross-functional collaboration with GTM, CS, and Solutions to articulate enterprise value.
• Provide executive storytelling around the future of engineering intelligence.

Skills

Product management

Enterprise SaaS

DevOps analytics

Analytical thinking

Executive communication

Ambiguity tolerance

Education

MBA or equivalent business experience

Bachelor's degree in a technical field

Tools

GitHub

GitLab

Jira

Datadog

Jenkins

Job description

Skan.ai is seeking a Senior Product Manager to lead the Engineering Intelligence Platform (EIP). You will shape a data-driven product category, partnering with engineering, data science, design, and GTM teams to surface actionable insights across telemetry, workflows, and AI adoption.

You’ll engage with CIOs/CTOs, delivery leaders, and enterprise customers to drive adoption while balancing ambitious roadmaps, AI capabilities, and enterprise-scale requirements.