Software Engineering Manager leading and growing engineering teams at auxi.ai, an AI technology startup. Managing international teams and driving technical excellence in a collaborative environment.
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.
Requirements
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.
Benefits
Health and dental benefits
Professional development budget and access to the latest AI tools and research
Flexible hybrid work environment based in Boston, MA
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