Engineering Manager

• Champion a culture of excellence in execution, while actively creating pathways for your team to scout, prototype, and influence R&D and product strategy with new technologies, particularly in AI.
• Ensure delivery of timely, high-quality results by helping the team align with prioritized backlogs and project plans.
• Grow the Research team’s engineering skills.
• Go beyond traditional mentorship by removing systemic barriers, creating safe-to-fail environments for experimentation with partners, and creating visibility for R&D work with academic and industry partners and internal leadership.
• Lead your team to continuously improve the Research systems and software development lifecycle, with a focus on integrating novel AI-driven tools to enhance security, quality, and engineering agility.
• Ensure your team understands and applies guidelines for the ethical use of AI within the team, addressing concerns such as data privacy, bias mitigation, intellectual property, and responsible disclosure.
• Manage and lead distributed global teams on selected collaborative Research projects.
• Use data to assess team health, but use empathy and direct engagement to foster a sense of belonging and purpose.
• Conduct regular one-on-one meetings with staff to help create and follow through on individual development plans.
• Perform all Human Resources-related managerial functions, with a specific focus on equitable and inclusive practices in hiring, compensation management, and promotion.
• Contribute to long-term R&D and product vision through frequent communication with academic and industry partners, Red Hat technical leadership and product owners, while also empowering your team to challenge assumptions and contribute to that vision.
• Contribute to annual Research budget and hiring plans.
• Contribute to selected external research proposals with academic and industry partners.
• Serve as an escalation point for issues.
• Resolve conflicts and remove obstacles.

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