Manager, AI Engineering

Summary

Join Phaidra, a company building AI-powered control systems for industrial automation, as an experienced software engineering leader. You will lead the AI engineering team responsible for the core platform powering model training, inference, and decision-making for their agents. This role requires strong technical expertise in AI/ML, MLOps, and large-scale system development, along with proven leadership and team management skills in a remote setting. You will be a hands-on contributor, driving technical excellence, mentoring engineers, and ensuring timely project delivery. The position offers competitive compensation, equity, and a comprehensive benefits package, including unlimited paid time off and a remote-first work environment. Phaidra is committed to fostering a collaborative and supportive culture, embodying values of transparency, collaboration, operational excellence, ownership, and empathy. The ideal candidate will be located in the USA, UK, or Canada.

Requirements

• 7+ years of work experience in software engineering, at least 2 years in a managerial role
• Bachelors or Masters in Computer Science or a related field
• Prior experience successfully leading a team of engineers solving complex technological problems in the domain of Artificial Intelligence / Machine Learning
• Either deep expertise in ML engineering and MLOps or production level Deep Reinforcement Learning
• Experience building large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and statistics/metrics collection
• Experience as a service owner of a realtime production system - thereby understanding the importance of monitoring, oncall and operations
• Experience delivering solutions on a combination of cloud and on-prem environments
• Strong understanding of Continuous Integration and Continuous Deployment
• Excellent communicator, written and verbal, ability to work in an all-remote setting across timezones
• Shares our company values: transparency, collaboration, operational excellence, ownership, and empathy

Responsibilities

• Build the core platform that powers model training, inference, and decision making for our agents
• Own MLOps, productionizing prototypes from research, and providing deep ML expertise for customer support
• Execute and Deliver - You will primarily be an individual contributor, taking part in the team’s planning process and executing on timely delivery of projects
• You will perform code reviews for other team members
• You will set a high bar for the team’s designs, APIs and systems
• You will drive best practices in the team and take ownership of your team’s SLIs and SLOs and work with the SRE team on continuous integration & deployment, release management, monitoring and operations
• Lead and Mentor - You will lead a high functioning team of engineers, provide them with guidance and remove blockers, help them grow and push them to perform their best - including gathering feedback and calibrating regularly in your 1:1s
• Communicate - You will be responsible for driving effective communication both within and outside the team
• You will communicate with key stakeholders across the company to align on business goals to clearly articulate vision, goals and strategy for your team
• You will update relevant stakeholders periodically on progress and blockers to keep various teams aligned

Preferred Qualifications

• Exposure to industrial control systems and/or processes
• Expertise in data centers

Benefits

• Medical, dental, and vision insurance (exact benefits vary by region)
• Unlimited paid time off, with a minimum of 20 days off per year requirement
• Paid parental leave (exact benefits vary by region)
• Home office setup allowance, coworking space stipend, and company MacBook