Principal Product Manager - AI DevOps Platform

Overview

Copado is the market leader in Salesforce Dev Ops, dedicated to empowering organizations with tools that drive continuous innovation and intelligent automation. We are seeking a visionary Principal Product Manager to lead the roadmap and delivery of our AI-powered Dev Ops platform and agent ecosystem. This role bridges strategic vision and tactical execution—owning the end-to-end experience of our AI platform application, driving adoption of AI agents across the Dev Ops lifecycle, and advancing the maturity of our platform’s foundational and emerging capabilities.

As a key player on our product leadership team, you will work cross-functionally with engineering, design, customer success, and GTM teams to develop intelligent, scalable, and customer-centric solutions that shape the future of Dev Ops within the Salesforce ecosystem.

Note:

This description reflects the responsibilities and qualifications for the Principal Product Manager - AI Dev Ops Platform role as advertised.

• Define & Drive Product Vision and Strategy:
  Vision & Roadmap – Define and communicate a bold vision for Copado’s AI Dev Ops platform, integrating agent-driven workflows and intelligent automation across the entire Salesforce SDLC.
• Strategic Alignment:
  Align roadmap priorities with executive leadership, ensuring AI initiatives support business goals, platform scalability, and customer success.
• Innovation Leadership:
  Leverage emerging technologies (e.g., LLMs, agent frameworks, AI observability, ML pipelines) to ensure Copado remains a pioneer in AI-powered Dev Ops.
• Roadmap Planning & Execution: AI Agent Lifecycle – Own the roadmap and execution of AI agents—from onboarding and lifecycle management to in-product assistive and autonomous workflows.
• Modular Platform Development:
  Drive alignment with architects and engineering leaders to deliver scalable, composable architecture that supports a wide range of Dev Ops use cases and platform integrations.
• Agile Execution:
  Guide teams on agile practices and product execution frameworks to deliver high-quality releases with speed and iteration with customer trust at the center.
• Data-Driven Decisions:
  Define and track KPIs to measure platform adoption, agent engagement, and business impact.
• Product Development & Lifecycle Management:
  Customer-Centric Development – Translate customer pain points into prioritized product capabilities.
• Lifecycle Oversight:
  Lead the end-to-end lifecycle of AI-powered products—from discovery and development to validation, rollout, and continuous improvement.
• Risk Management:
  
  Evaluate trade-offs between technical complexity, customer impact, and business value to make pragmatic, forward-looking product decisions.
• Enhance User Experience & Customer Success:
  Trusted AI Experiences – Collaborate with UX and research teams to create intuitive, transparent, and confidence-inspiring AI interactions within the Copado platform.
• Embedded Workflows:
  Drive agent adoption by embedding intelligent assistance into developer, tester, and release manager workflows.
• Enablement & Support:
  Provide internal teams and partners with training, documentation, and guidance to ensure scalable product support and self-service success.
• Stakeholder & Market Engagement: GTM Collaboration – Align with marketing, sales, and customer success teams to support go-to-market planning, value messaging, and customer education around AI capabilities.
• Thought Leadership:
  Represent Copado’s AI strategy in customer meetings, industry events, and community forums to position the company as a Dev Ops AI leader; mentor PMs and drive AI-native practices across the product organization.
• Market Intelligence:
  Monitor competitive and industry trends across AI, Dev Ops, and Salesforce ecosystems to inform strategic positioning and innovation priorities.

• Bachelor’s degree in Computer Science, Business, or a related field;
  Master’s preferred.
• 10+ years of product management experience, with at least 3–5 years in platform, AI/ML, or developer tools.
• Proven success in delivering enterprise SaaS products at scale, preferably in Dev Ops, CI/CD, or cloud-native environments.
• Deep understanding of…