Senior Manager, Software Engineering

Role Overview

• Provide technical leadership for designing, implementing, and operating scalable distributed systems
• Lead, mentor, and develop a team of software engineers, setting clear expectations for technical ownership, delivery, and career growth.
• Plan and deliver content initiatives by partnering with product stakeholders, managing scope and priorities, and ensuring high-quality measurable outcomes
• Collaborate with adjacent engineering, ML, and platform teams to ensure consistent technical approaches, clear system boundaries, and effective integration of shared services

Requirements

• 10+ years relevant industry experience and 3+ years managing a team
• Proven track record of delivering complex software projects on time and within scope, including planning, prioritization, and risk mitigation.
• Experience managing a team of software engineers, including providing mentorship, conducting performance reviews, and supporting career growth.
• Strong problem-solving skills and ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
• Experience designing and building distributed systems, services, and APIs (REST and/or GraphQL).
• Experience working with cloud platforms such as AWS and core services (e.g., S3, Lambda, EC2).
• Experience operating and supporting production systems, including monitoring, troubleshooting, and iterative improvement.
• Proficiency in at least one core programming language (e.g., Java, Python, or JavaScript) for building reliable and maintainable software solutions.
• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Knowledge of software engineering best practices, including testing frameworks, CI/CD pipelines, code reviews, and documentation standards.
• Experience integrating LLMs or other AI/ML inference services into production systems, including managing latency, reliability, and throughput (preferred).
• Hands-on familiarity with computer vision pipelines or LLM-based workflows for content analysis, inspection, or validation (preferred).
• Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) (preferred).
• Bachelor’s degree in computer science or comparable field of study, and/or equivalent work experience.

Tech Stack

• AWS
• Cloud
• Distributed Systems
• Docker
• EC2
• GraphQL
• Java
• JavaScript
• Kubernetes
• Python
• PyTorch
• Scikit-Learn
• Tensorflow

Benefits

• A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.