Software Engineering Manager

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. 

• →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. 
  
  

• 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. 

• 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.