Senior/Staff Product Manager, Continuous Delivery

Position Summary

Harness is looking for a Senior/Principal Product Manager, Continuous Delivery to drive the definition, development and adoption of our core Continuous Delivery module, and ensure end-to-end success. In this role, you will manage the critical swimlanes of the Continuous Delivery module that enables customers to run their CI/CD pipelines with highest levels of security, reliability and manageability. This is a high impact, high visibility role that requires immense cross-functional execution spanning Engineering, Sales, Marketing, UX, Research, Customer Success and Support.

About the role

• Own the "whole" product experience
• Engage with customers, develop insights into what is possible, and uncover unarticulated customer needs to drive customer success
• Build product roadmap based on customers needs, market, and technology trends
• Define product specs, user stories, mockups, and acceptance criteria in collaboration with other module PMs, engineering or independently
• Interact and collaborate with Support, Customer Success, and field teams, to understand customer issues and drive business outcomes
• Collaborate with Engineering, QA, SRE, and release teams to plan, drive and execute product release cycles.
• Collaborate with product marketing to support the creation of customer-driven messaging and content

About you

• You are a hands-on product owner driven by data and research
• You are a creative and passionate problem solver
• You are able to think big while charting small steps towards the end goal
• You are obsessed with customer research and design thinking
• You can bring qualitative and quantitative insights together to drive sound decision making
• You are obsessed with the little details and constantly optimizing for simplicity

Requirements

• 5+ years of experience in product management with SaaS / Cloud companies
• 5+ years of experience in DevOps or infrastructure software
• Comfortable with Kubernetes & containers
• Good understanding of AWS, Google Cloud, Microsoft Azure
• Experience working with AI/ML-powered verification, anomaly detection
• Knowledge of MLOps is a plus.
• Strong analytical skills and data-driven product decision-making mindset
• Strong communication skills, verbal and written