Job brief:The Senior Manager, AI Software Engineering is a pivotal leadership role responsible for guiding a high-performance team in the execution and deployment of cloud-native AI architectures. As a player-coach, you will balance strategic management with hands-on development, overseeing the full software lifecycle from requirements to deployment on AWS infrastructure. You will drive innovation by integrating emerging AI technologies-such as Claude, Gemini, and OpenAI-while ensuring operational excellence, effective resource allocation, and seamless collaboration between technical teams and business stakeholders to advance enterprise AI adoption.
The impact you'll make:- Lead, mentor, and manage a team of software engineers focused on AI execution, fostering a collaborative and high-performance work environment.
- Be a player/coach with 20% hands as part of your day to day responsibilities.
- Conduct regular performance reviews, provide feedback, and create development plans to support career growth and skill development in cloud-native AI architectures.
- Ensure effective resource allocation, team productivity, and project delivery within timelines and budget constraints.
- Oversee the entire software and AI development lifecycle, from requirements gathering and design to implementation, testing, and deployment on Cloud infrastructure.
- Ensure the team adheres to best practices in coding, testing, and documentation, maintaining high standards of software quality, and operational excellence.
- Stay updated with emerging technologies and industry trends, and integrate them into the development process as appropriate.
- Collaborate with product managers, stakeholders, and other departments to define project requirements, scope, and objectives for cloud-based AI solutions.
- Communicate project status, issues, and risks to senior management and stakeholders, providing regular updates and reports on both model performance and cloud compute spend.
- Contribute to the development of the software engineering strategy, aligning it with the overall business objectives for enterprise AI adoption.
- Identify opportunities for process improvements, automation, and innovation to enhance productivity and efficiency.
- Participate in long-term planning, including technology roadmaps and capacity planning to optimize AWS resource utilization for AI workloads.
- Foster strong collaboration between engineering teams, product management, and other departments to ensure alignment and effective communication.
- Act as a liaison between technical teams and non-technical stakeholders, translating technical concepts into business terms.
- Other duties as assigned.
What you've accomplished:- Must have: 8+ years of experience in software development, with at least 3 years in a leadership role.
- Strong proficiency in software development methodologies, full-stack engineering, and languages (e.g., NodeJS, TypeScript, concurrency, JSON, REST, AI - Claude, Gemini, OpenAI, nice to have).
- Demonstrated expertise in Fullstack development in a scalable NodeJS environment, Cloud infrastructure, and infrastructure as code.
- Knowledge of DevOps practices, CI/CD pipelines, and automated testing
- Excellent leadership, team-building, and interpersonal skills.
- Ability to motivate and inspire a diverse team of engineers.
- Strong problem-solving and decision-making abilities for evaluating trade-offs between design decisions.
- Experience with agile development methodologies (e.g., Scrum, Kanban).
- Strong organizational skills and attention to detail.
- Ability to manage multiple projects and priorities simultaneously.
TWCo Benefits/Perks:- Flexible Time Off program
- Hybrid work model
- Variety of medical insurance options including a $0 cost premium employee coverage
- Benefits effective day 1 of employment include competitive 401K match with no vesting requirement, national health, dental, and vision plans
- Progressive family plan benefits
- An opportunity to work for a global and industry-leading technology company
- Impactful work in a collaborative environment
