Director of Product Management

CloudBees is defining the future of AI-native DevOps and is seeking a Director of Product Management to lead the product strategy and execution for their next-generation platform. This role focuses on owning the market narrative, shaping analyst perception, and enabling sales teams to effectively communicate the value of CloudBees' offerings to mid-market development teams.

Responsibilities:

• Own the end-to-end messaging architecture for Smart Test and Unify — from category-level narrative down to feature-level proof points
• Develop and maintain a living positioning framework that evolves with the market, not just with product releases
• Translate complex DevOps and AI capabilities into crisp, buyer-resonant language for C-suite, engineering leads, and procurement
• Lead category creation efforts around Agentic DevOps — defining the language, the problem, and the CloudBees-specific right to win
• Serve as CloudBees’ primary point of contact for analyst briefings — Gartner, Forrester, IDC, and emerging DevOps-focused analysts
• Develop the briefing strategy, own the narrative arc, and ensure CloudBees is positioned for inclusion in key Magic Quadrants, Wave reports, and Market Guides
• Build and execute a thought leadership content calendar — point-of-view papers, executive bylines, conference keynote frameworks, and AI-native DevOps research
• Represent CloudBees at the May Agentic DevOps Conference and the June Roadshow (SF, NY, Paris, Japan) as a market-facing voice
• Identify and cultivate customer advocates and practitioner voices to amplify the CloudBees narrative
• Own the competitive intelligence function — continuous monitoring, synthesized analysis, and actionable guidance for sales and product
• Produce and maintain competitive battlecards, win/loss frameworks, and objection-handling playbooks
• Partner with Intelligence Solutions Architect (Sean Mahaffey) to build AI-accelerated competitive research workflows
• Brief sales leadership on competitive positioning before key deals and enterprise conversations
• Build the sales narrative toolkit: pitch decks, demo scripts, one-pagers, ROI frameworks, and discovery question guides
• Own launch readiness for new product releases — coordinate messaging, timing, and sales activation with engineering, product, and demand gen
• Partner with demand generation on campaign messaging, ICP definition, and account-based marketing (ABM) content
• Drive the Smart Test Agent launch narrative and post-launch positioning
• Design and execute buyer research programs — win/loss interviews, ICP validation, and messaging resonance testing
• Synthesize customer, prospect, and market signals into quarterly positioning reviews
• Actively participate in key prospect conversations and customer advisory sessions to ground positioning in real buyer language
• Use AI tools to compress research cycles and surface insight faster than any competitor’s PMM team

Requirements:

• A demonstrable entrepreneurial spirit, you have built programs from zero, fixed broken processes without being told to, and created market opportunities others had not yet identified
• 7+ years of product marketing experience, with at least 3 years in a senior IC or leadership role in B2B SaaS
• Proven track record of building category-defining narratives for developer tooling, DevOps, or infrastructure software
• Deep understanding of CI/CD, DevOps, and software delivery workflows — you can speak credibly to a VP Engineering without a translator
• Experience owning analyst relations — you have conducted briefings, been cited in reports, and understand how to move perception at Gartner or Forrester
• Demonstrated ability to build competitive intelligence programs from the ground up — not just reactive battlecards, but proactive market sensing
• Strong fluency with AI tools — both as a practitioner accelerating your own workflow and as a market thinker who understands where AI changes the DevOps category
• Track record of producing high-quality, high-velocity content: messaging guides, point-of-view papers, executive narratives, and sales enablement assets
• Excellent written and verbal communication; ability to command a room at an analyst briefing and a whiteboard session with engineering alike
• Familiarity with predictive test selection, CI observability, or software quality intelligence platforms
• Experience with agentic AI products or AI-native developer tooling
• Prior exposure to mid-market SaaS sales cycles and champion-driven selling motions
• Experience operating in a startup-within-a-startup or incubation-style environment
• Established relationships with DevOps or platform engineering analyst community