Senior Engineering Manager
Soar Incorporated
Role Summary
- We rely heavily on AI across software design, development, testing, and delivery. We are looking for a Senior Engineering Manager who can lead multiple teams, develop engineering leaders, and turn AI-assisted development into a reliable, scalable engineering capability.
- You will remain technically engaged and accountable for the quality and business impact of what your teams ship.
Key Responsibilities
- Own delivery, technical quality, and operational readiness across multiple engineering teams; translate business priorities into clear plans and measurable outcomes.
- Lead and coach engineering managers and senior engineers. Build a culture of clarity, constructive feedback, collaboration, and sustainable performance.
- Define how teams use AI agents throughout the development lifecycle, including planning, implementation, code review, testing, and documentation.
- Establish reusable agent workflows, shared context, and automated quality gates that improve delivery across teams.
- Guide architecture and cross-team decisions; challenge generated solutions on correctness, security, scalability, maintainability, and cost.
- Partner with Product, QA, Security, and DevOps to resolve dependencies and ensure releases are validated through real user journeys.
- Own hiring, organizational capability, and engineering performance. Measure AI impact through delivery quality, lead time, reliability, and cost.
Requirements
- Typically 10+ years in software engineering and 4+ years in engineering leadership, including responsibility for multiple teams or developing engineering managers; equivalent demonstrated impact is welcome.
- Strong technical judgment across application architecture, APIs, databases, cloud infrastructure, automated testing, and production operations.
- Demonstrated experience embedding AI coding tools and agents into team workflows, with concrete examples of measurable improvements.
- Ability to design review and validation controls for AI-generated changes, including human accountability, data protection, and appropriate agent permissions.
- A record of developing leaders, communicating priorities clearly, listening to teams, and delivering complex initiatives across functions.
Nice to have:
- Experience in fintech or other regulated environments; agent orchestration, evaluation frameworks, shared context systems, or internal developer platforms.
What success looks like:
- Multiple teams deliver predictably with fewer escaped defects; managers and engineers grow in capability; AI workflows demonstrate measurable gains without weakening reliability, security, or ownership.
Application Closing Date
Not Specified.
How to Apply
Interested and qualified candidates should:
Click here to apply online
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Vacancy posted 5 hours ago
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