Software Engineering Manager

About auxi

auxi.ai is an innovative, fast-growing AI technology company headquartered in Boston. We are on a mission to transform how businesses operate by building intelligent, AI-powered tools that streamline workflows, unlock insights, and drive real business value. Our team is composed of passionate engineers, product thinkers, and AI researchers who thrive in a dynamic, high-velocity environment. At auxi.ai, we move fast, think big, and build solutions that matter. We're backed by a deep belief that the future of work is intelligent — and we're building it.

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.

Your location: Dubai or 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 or technology 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

• Competitive base salary and 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.