Senior Manager Software Engineering

• Lead, mentor, and grow a team of software engineers, machine learning engineers, and data scientists, fostering a culture of technical excellence, collaboration, and continuous learning.
• Define team priorities, allocate resources, manage project timelines, and ensure high-quality, on-time delivery of AI/ML-powered features.
• Conduct performance reviews, provide constructive feedback, and support the career development of team members.
• Collaborate with product management and cross-functional teams to translate business needs and product requirements into technical specifications and a clear AI/ML roadmap.

• Define the technical strategy, architecture, and roadmap for integrating AI and ML capabilities across the Unified Communication product portfolio (e.g., natural language processing for translation, transcription and summarization, predictive analytics, intelligent routing, conversational AI).
• Oversee the entire AI/ML lifecycle, from data collection and model training to MLOps, deployment, monitoring, and performance tuning in production environments.
• Ensure the engineering team adheres to best practices in software development, including code review, unit testing, continuous integration/continuous deployment (CI/CD), and secure coding standards.
• Drive the selection and implementation of appropriate technologies, frameworks, and cloud services (e.g., AWS, Azure, GCP) to support scalable and robust AI infrastructure.

• Partner closely with AI Engineering organization, Research & Developments teams to identify emerging AI technologies, frameworks, platforms and assess their potential for application within the Unified Communications product line.
• Work with Data Governance and Legal teams to ensure compliance with data privacy regulations and ethical AI principles
• Communicate complex technical concepts and project status effectively to executive leadership and non-technical stakeholders.

Referral Payment Plan
Yes