Principal Product Manager - AI DevOps Platform

Principal Product Manager - AI Dev Ops Platform

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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.

• 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:
    Guide teams to 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:
    Equip 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. Act as a thought partner to executive leadership to shape Copado’s AI product frameworks, mentoring PMs, and driving 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…