Software Engieering Manager

Engineering ManagerEngineering ManagerFull TimeRemoteLead

Location

United States

Posted

2 days ago

Salary

Not specified

Seniority

Lead

C#.NETPythonAzureAWSLLMAgileScrumJIRAGitHubCI/CD

Job Description

Role Summary

auxi.ai is seeking a highly skilled and driven Software Engineering Manager to lead and grow our engineering team. This is a high-impact leadership role reporting directly to the CEO, working in close partnership with our Product Manager to shape and execute our technical roadmap. You will be responsible for managing a blended US-based and international engineering team, setting coding standards, owning delivery, and ensuring our systems run efficiently and reliably. The ideal candidate thrives in a fast-paced startup environment, has hands-on experience with modern cloud and AI technologies, and is passionate about adopting the latest innovations to keep auxi.ai at the cutting edge. 


Reports To: Chief Executive Officer (CEO)  

Team Scope: US-Based & International 

Location: Lebanon

Responsibilities

  • Lead, mentor, and manage a distributed engineering team across US and international time zones, fostering a culture of collaboration, accountability, and continuous improvement. 
  • Partner closely with the CEO and Product Manager to translate business goals into clear, executable technical plans and sprint deliverables. 
  • Own the full software development lifecycle — from planning and architecture to deployment and post-launch optimization. 
  • Define and enforce coding standards, best practices, and architectural guidelines across the team to ensure high-quality, maintainable code. 
  • Plan and manage sprint cycles using JIRA, coordinating task allocation, tracking progress, and removing blockers to keep delivery on schedule. 
  • Oversee the team's use of GitHub for version control, code reviews, and CI/CD workflows, ensuring clean branching strategies and robust review processes. 
  • Ensure all production systems are performant, reliable, and resource-efficient — actively monitoring and optimizing for cost, speed, and scalability. 
  • Lead and contribute to the development, fine-tuning, and deployment of Generative AI models, working hands-on with LLMs and ML pipelines. 
  • Continuously evaluate and adopt emerging technologies, frameworks, and AI advancements to keep auxi.ai's platform modern and competitive. 
  • Coordinate cross-functional dependencies between engineering, product, and business stakeholders to ensure smooth execution. 
  • Drive a culture of technical excellence, knowledge sharing, and innovation within the engineering organization. 

Required Qualifications

  • 7+ years of software engineering experience, with at least 3 years in an engineering management or tech lead role. 
  • Proven experience working in fast-paced, high-growth startup/tech or B2B SaaS environments.
  • Strong proficiency in C# / .NET and Python; ability to review code and provide meaningful technical guidance in both languages. 
  • Hands-on experience with cloud platforms — Microsoft Azure or AWS (or both); familiarity with cloud-native architectures, services, and cost optimization. 
  • Experience with Generative AI, including working with LLMs, model training, fine-tuning, and deploying AI-powered features in production. 
  • Demonstrated ability to manage and lead distributed, international teams effectively across time zones and cultures. 
  • Expertise in Agile/Scrum methodologies; hands-on experience managing sprints and backlogs in JIRA. 
  • Strong command of GitHub workflows including branching strategies, pull request reviews, and CI/CD pipeline management. 
  • Track record of building and maintaining highly performant, resource-efficient production systems. 
  • A proactive mindset toward technology adoption — you stay current with the latest tools, frameworks, and AI research and bring those insights to the team. 
  • Exceptional communication and stakeholder management skills; able to translate technical concepts to non-technical leadership. 


Nice to Have

  • Experience with MLOps platforms and AI/ML deployment pipelines. 
  • Familiarity with vector databases, RAG architectures, or AI agent frameworks. 
  • Prior experience working directly with a CEO or C-suite in a startup setting. 
  • Background in SaaS product development. 


What we Offer:

  • Base salary of $5,000, plus a strong performance-based bonus component on top. 
  • Direct impact — report to the CEO and shape the company's technical direction. 
  • Health benefits. 
  • Professional development budget and access to the latest AI tools and research. 
  • A collaborative, mission-driven team that moves fast and builds things that matter. 


#LI-DNI

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