Software Engineering Manager

Position: Software Engineering Manage

About the Role

We are seeking a highly capable, hands-on Software Engineering Manager to lead our software engineering function while remaining deeply involved in the design, development, delivery, and execution of technology initiatives. This is not a purely managerial role. The successful candidate must be a hands-on technical leader who can roll up their sleeves, solve problems, make decisions independently, and take ownership of projects from concept through completion. The ideal candidate is someone who has a proven track record of getting things done, operating with urgency, taking initiative, removing obstacles, and delivering high-quality results with minimal supervision.

A strong and demonstrable background in Artificial Intelligence (AI) is essential. The successful candidate should understand how AI can be practically applied to products, business processes, automation, and software solutions and should be capable of working directly with engineering teams to deliver AI-enabled solutions.

Key Responsibilities

Software Engineering Leadership

• Lead, mentor, and manage software engineers while maintaining hands-on involvement in technical delivery.
• Provide technical direction, architectural guidance, and engineering leadership.
• Participate directly in software design, coding, code reviews, debugging, testing, and deployment when required.
• Establish and maintain high engineering standards, development practices, and quality controls.
• Translate business requirements into practical, scalable technology solutions.
• Ensure engineering projects are delivered on time, within scope, and to the required quality standards.

AI & Technology

• Lead the identification, evaluation, and implementation of AI-powered solutions across products and business processes.
• Apply AI, machine learning, generative AI, automation, and related technologies to solve real business problems.
• Work with stakeholders to identify opportunities for AI-driven efficiency, automation, and innovation.
• Evaluate AI tools, platforms, APIs, and technologies and recommend appropriate solutions.
• Guide engineers in integrating AI capabilities into applications and workflows.
• Stay current with emerging AI technologies and identify practical opportunities for implementation.

### End-to-End Project Delivery

• Take ownership of technology initiatives from requirements gathering through design, development, testing, deployment, and post-launch support.
• Develop project plans, timelines, milestones, and delivery priorities.
• Identify risks, dependencies, technical challenges, and potential delivery issues early.
• Remove roadblocks and take decisive action to keep projects moving.
• Coordinate with Product, Operations, Business Development, and other stakeholders to ensure successful delivery.
• Ensure that deliverables are fully completed rather than simply reaching partial implementation.

Reporting & Performance Management

• Provide clear and timely reporting on project status, deliverables, risks, milestones, and resource requirements.
• Establish engineering KPIs and track team and project performance.
• Prepare management reports and technology updates for senior leadership.
• Clearly communicate technical issues and recommendations to both technical and non-technical stakeholders.
• Maintain accurate documentation of projects, systems, processes, and technical decisions.

Team Leadership

• Recruit, develop, coach, and motivate software engineering team members.
• Set clear expectations, priorities, and accountability standards.
• Conduct performance reviews and provide ongoing feedback.
• Build a culture of ownership, accountability, innovation, collaboration, and execution.
• Ensure team members have the tools, resources, and support required to deliver effectively.

The Ideal Candidate

We are looking for someone who:

• Is hands-on and technically credible, not simply a people manager.
• Has a strong work ethic and a demonstrable history of delivering results.
• Takes initiative without waiting to be instructed.
• Can independently identify problems, develop solutions, and execute.
• Is comfortable working in a fast-paced and evolving environment.
• Can move effectively between strategic thinking and hands-on technical execution.
• Takes complete ownership of deliverables from beginning to end.
• Is highly accountable and deadline-oriented.
• Can communicate effectively with engineers, executives, business users, and other stakeholders.
• Is comfortable working with ambiguity and turning ideas into working solutions.

Required Qualifications & Experience

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.
• 2+ years of professional software engineering/development experience, with significant technical leadership experience.
• Proven experience managing or leading software engineering teams.
• Demonstrated hands-on experience with modern software development.
• Strong, proven expertise in Artificial Intelligence (AI), including practical implementation of AI solutions.
• Experience taking software projects through the full end-to-end development lifecycle.
• Strong experience with software architecture, APIs, databases, cloud technologies, and modern development methodologies.
• Proven experience delivering multiple technology projects successfully.
• Strong understanding of Agile/Scrum or similar software development methodologies.
• Excellent analytical, problem-solving, and decision-making abilities.
• Strong reporting, documentation, and project management capabilities.

Preferred Qualifications

• Experience with Generative AI, LLMs, AI agents, machine learning, or intelligent automation.
• Experience integrating AI APIs and third-party technology platforms.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with DevOps, CI/CD, containerization, and automated testing.
• Experience building scalable, secure, production-grade applications.
• Experience in AI automation or business process automation.

What Success Looks Like

Within the first few months, the successful candidate will be expected to:

• Quickly understand the existing technology environment and business priorities.
• Establish clear engineering priorities and delivery standards.
• Take ownership of outstanding technology initiatives and drive them toward completion.
• Identify opportunities to leverage AI and automation to improve business performance.
• Establish effective project and engineering reporting.
• Improve delivery speed, quality, and accountability across the engineering function.
• Build a high-performing engineering culture focused on execution and measurable results.