Senior Product Manager

Agile Defense Logo

Agile Defense

💵 $87k-$162k
📍Remote - United States

Summary

Join Agile Defense Labs as a Senior Product Manager and play a critical leadership role in driving the execution of scalable AI and automation solutions for federal missions. You will serve as the connective tissue between engineering, AI/automation delivery teams, product sales, and customer stakeholders. Responsibilities include team coordination, stakeholder alignment, release management, process improvement, and strategic delivery. The ideal candidate possesses a Bachelor's degree (Master's preferred), 8+ years of product or program management experience (3+ years leading AI-driven teams), and a proven track record of delivering complex AI-enabled products. Strong agile framework understanding and proficiency in tools like Jira and Confluence are essential. This remote position offers a competitive salary and comprehensive benefits package.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Business, or a related field (Master’s preferred)
  • 8+ years of experience in product or program management, with 3+ years leading AI, data science, or automation-driven teams
  • Direct experience working in or alongside government or defense innovation environments is highly desirable
  • Proven track record of delivering complex AI-enabled products from concept to deployment
  • Deep understanding of agile frameworks (Scrum, Kanban, SAFe) and ability to tailor to hybrid government R&D environments
  • Strong proficiency in tools like Jira, Confluence, GitHub Projects, and cloud-native DevSecOps platforms
  • Excellent written and verbal communication; skilled at translating technical complexity into stakeholder-aligned goals
  • Experience driving cross-functional coordination across engineering, sales, and leadership
  • Familiarity with AI/ML concepts, model lifecycle management, and AI integration with automation pipelines

Responsibilities

  • Team Coordination & Progress Tracking
  • Oversee backlog grooming, sprint planning, and daily stand-ups
  • Monitor project tickets and ensure alignment with sprint objectives via tools such as Jira
  • Identify and proactively remove delivery blockers
  • Stakeholder Alignment & Communication
  • Act as a key liaison between internal engineering/product teams and external stakeholders from across the company
  • Maintain a communication crosswalk and lead syncs to ensure shared understanding of goals and progress
  • Capture and integrate stakeholder feedback into iterative product planning
  • Release Management & Documentation
  • Own the release lifecycle—planning, testing coordination, approvals, and deployment communications
  • Ensure documentation in Confluence and Sharepoint is current, comprehensive, and accessible (e.g., technical specs, user guides, retrospectives)
  • Process Improvement & Best Practices
  • Analyze and optimize workflows to increase delivery efficiency
  • Lead adoption of AI/ML-enhanced tooling for backlog prioritization, sprint analytics, and test automation
  • Coach and train teams on agile best practices and automation frameworks that integrate AI
  • Strategic Delivery
  • Translate AI/automation strategies into executable roadmaps
  • Support the CPO in aligning product initiatives with broader company OKRs, and Labs vision
  • Measure success via clear KPIs—team velocity, defect rates, documentation quality, stakeholder satisfaction
  • This role provides strong matrixed leadership across product pods and scrum teams.  Mentors associate product owners and  across Agile Labs.  Acts as a delegate to the Chief Product Officer in technical program meetings and sprint reviews

Preferred Qualifications

  • None required, though certifications in Agile (Scrum Master, SAFe), Product Management (Pragmatic, AIPMM), or AI/ML (Google Cloud AI/ML, AWS Machine Learning Specialty) are strongly preferred
  • Experience with Google Cloud AI/ML stack, AWS and Bedrock AI/ML Tools, and Microsoft Azure/Open AI Services
  • Knowledge of federal compliance environments (FedRAMP, ATO, IL5/6, NIST 800 series)
  • Exposure to AI agent orchestration platforms, low-code/no-code workflow engines, and intelligent ticket routing solutions
  • Experience documenting processes and improving DevSecOps workflows in classified environments

Benefits

Competitive and comprehensive benefits package

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