Senior Engineering Manager, Highspot

• You are flexible, and supportive and know when to step in and work hands-on with your team and when to lean out and direct
• 8+ years working as a professional software developer
• 4+ years working as an engineering manager
• 2+ years working in ML-related areas with a great understanding of machine learning design patterns and best practices and experience in shipping machine learning models into distributed, data-intensive production systems
• You can draw on substantial depth and breadth of management experience to lead and grow a machine learning team
• You collaborate well with teams with different backgrounds/expertise/functions
• You have expertise in full product lifecycle; technical designs, project planning, iterative implementation, and successful product launches
• You care about data-driven development, reliability, and responsible experimentation
• You understand the application of intermediate principles of data science (machine learning, statistics, computer science, mathematics) to solve technical problems
• You have expertise in the ML Operations lifecycle; data acquisition, model training, and model deployment
• You have experience and passion for mentoring and encouraging collaborative teams
• You have experience in cultivating a strong engineering culture in an agile environment
• M.S. in Computer Science or related field or equivalent experience
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, documentation, and operations

Desirable

• We are looking for a Senior Engineering Manager to join our growing Artificial Intelligence and Machine Learning team
• You will lead a team that works on challenging problems
• As a Manager you will be responsible for building and scaling an ML team, managing the planning and prioritization of upcoming ML-related work, coordinating multiple engineering teams, deploying and scaling your models, building out our underlying AI/ML platform, and coaching team members
• You will work with the leadership team and product managers to evaluate priorities, spot potential problems before they occur, and support the team's technical roadmap with planned ML engineering investments
• You are flexible, and supportive and know when to step in and work hands-on with your team and when to lean out and direct
• Coordinate with product and engineering leadership to identify both the long-term and short-term needs of the ML learning work, especially in the areas of LLMs, agents, NLP, NN, and CV
• Building and scaling the machine learning team
• Lead the team in training and deploying ML models to production with high scalability, reliability, availability, performance, and cost efficiency
• Lead the team in continuously improving existing ML models
• Lead the team in building data pipelines to support ML model training and serving
• Lead the team in building a labeling system for supervised model training
• Contribute to our org-wide product ideation in collaboration with other engineering leaders, engineers, researchers, product managers, and SMEs
• Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences
• Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives