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Job Description

Job brief

Senior Software Engineering Manager

Minimum Years of Experience Required: 6+ Years

Salary range: $170,000 - $230,000

Authorization to Work: We require candidates to be a Permanent Resident or currently authorized to work in the United States when applying. We cannot provide visa sponsorship.

About the Role: We are seeking a Senior Software Engineering Manager to lead and grow our engineering teams, with a focus on building the systems that power our AI products and services. You will be responsible for the technical direction, execution, and delivery of software projects, fostering a collaborative environment, and mentoring engineers. This is an opportunity to make a significant impact on our products, engineering culture, and the underlying infrastructure for AI.

Key Responsibilities:

Manage, mentor, and develop a team of software engineers, fostering their growth and technical expertise, particularly in areas relevant to AI infrastructure and applications.
Drive the technical strategy and roadmap for your team's projects, ensuring alignment with overall product and AI initiatives.
Oversee the design, development, testing, and deployment of high-quality, scalable, and reliable software systems supporting AI workloads.
Ensure the timely and high-quality delivery of software releases, implementing agile methodologies and best practices.
Collaborate effectively with product managers, designers, AI researchers, ML engineers, and other stakeholders to define requirements and deliver integrated solutions.
Champion best practices in software engineering, including code quality, testing automation, CI/CD, and performance optimization for AI-related systems.
Contribute to architectural discussions and decisions related to the software infrastructure supporting AI models and services.
Troubleshoot and resolve complex technical issues within the team's purview.
Participate in the hiring and onboarding of new engineers.

Qualifications:

Minimum 6 years of software engineering experience, with at least 2-3 years in a management or technical leadership role.
Proven ability to lead, manage, and scale engineering teams, preferably in an environment with a focus on data-intensive or AI-related applications.
Strong technical background in software development, architecture, and agile methodologies.
Experience with building and maintaining scalable backend systems, APIs, and data pipelines.
Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Understanding of the infrastructure requirements for training, deploying, and serving machine learning models is a plus.
Excellent problem-solving, communication, and interpersonal skills, with the ability to effectively lead and influence technical teams.