Software Engineering Manager

Requirements

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

What the job involves

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