AI-Driven Software Engineering Manager

Requirements

• Deep understanding of how large-scale software systems are designed, built, tested, deployed, and delivered to customers
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• Experience using delivery and performance metrics to drive a team
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• At least 2 years managing offshore development teams using Agile methods (Scrum, Kanban, XP)
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• Genuine hands-on familiarity with AI coding assistants and LLM-based tools—you've used them, formed opinions, and helped others use them well
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• Ability to evaluate AI-generated code: understanding failure modes, reviewing for correctness and security, and coaching engineers to do the same
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• An affinity for modern software development best practices: daily deployments, robust CI/CD, test-driven development, feature flagging, and AI-assisted workflows
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• Strong decision-making skills; acts consistently with available facts, constraints, and probable consequences
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• Demonstrated analytical, critical thinking, organizational, and project management ability
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• Experience with tools like Snowflake, Looker, Datadog, AWS, and Infrastructure as Code
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• Exceptional leadership skills: co-creates a vision, reinforces it, and aligns teams and stakeholders around it
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• Core Competencies:
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• Communicates Effectively
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• Cultivates Innovation
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• Drives Results
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• Leads with Trust
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• Mission Focus
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• Strategic Mindset

• The Software Engineering Manager grows and develops talented engineers to drive meaningful business outcomes
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• You'll build an environment where engineers do their best work—clearing obstacles, sharpening skills, and connecting individual contributions to what matters most for the product and our customers
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• You'll own delivery accountability across your product teams and serve as the Agile Owner, keeping quality high and momentum moving
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• Directly manage a team of software engineers—owning their development, quality bar, and technical direction
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• Coach and mentor engineers to sharpen skills, design better systems, and develop sound judgment about when and how to use AI tools effectively
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• Organize and assign work alongside the Technical Lead and Product Owner, breaking it into right-sized pieces that maximize efficiency
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• Balance feature work with maintenance, tech debt, and internal support
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• Set a high bar for technical quality across our JavaScript (React) and Python stack; you're accountable for the team's output
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• Model and encourage fluent, responsible use of AI coding assistants (e.g., Claude, Git Hub Copilot) to accelerate delivery and reduce toil
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• Help engineers develop sound judgment about AI-generated output—when to trust it, when to push back, and how to prompt effectively
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• Stay current on AI tooling; evaluate new tools with a practical, outcomes-focused lens and bring relevant advances to the team
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• Identify opportunities for AI to improve team workflows: code review, test generation, documentation, incident analysis
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• Contribute to org-wide conversations about AI governance, appropriate use, and engineer skill development
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• Handle team logistics: performance management, hiring, right-sizing, training, and promotions
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• Partner with the Product Owner to ensure work is designed, developed, and tested to high quality standards and aligned with the architecture vision
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• Proactively communicate delivery targets, commitments, and progress
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• Drive operational excellence through team metrics (DORA, SLIs, CI/CD health, security vulnerabilities, infra cost/usage)
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• Mitigate risks proactively, escalate when needed, and collaborate across teams to find solutions