Tech Lead Manager, Machine Learning

Gametime unites the world through shared live experiences by making it easy to discover and access events across the US and Canada. The Tech Lead Manager, Machine Learning will lead Gametime’s ML initiatives, combining hands-on technical contribution with people management. This role involves architecting and implementing complex ML systems and building, mentoring, and scaling a high-performing team to revolutionize live event experiences through personalized ML solutions.

Must Have

• Lead, mentor, and develop a team of ML Engineers.
• Define technical vision and roadmap while collaborating with leadership and cross-functional partners.
• Drive engineering excellence by establishing best practices for code quality, testing, and deployment.
• Design and implement end-to-end ML applications, owning the full lifecycle from ideation to production deployment.
• Architect high-performance solutions that directly impact key business metrics.
• Provide technical leadership through code reviews, system design guidance.
• 7+ years of hands-on industry experience in machine learning engineering or related roles.
• 2+ years of technical leadership or people management experience.
• Proven track record of deploying ML models into production applications at scale.

Good to Have

• Bachelor’s degree or higher in Computer Science, Machine Learning, or related technical field.
• Prior experience managing ML/AI teams specifically.
• Experience in startup or high-growth environments.

About Us:

Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.

With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.

Job Summary

The will be a critical leader driving Gametime’s machine learning initiatives to create significant business impact. This hybrid role combines hands-on technical contribution with people management responsibilities, leading a team of machine learning engineers focused on revolutionizing the live event experience through personalized, impactful ML solutions. The ideal candidate is both a technical expert who can architect and implement complex ML systems and an inspiring leader who can build, mentor, and scale a high-performing team.

Key Responsibilities

Management & Leadership

• Lead, mentor, and develop a team of ML Engineers through 1-on-1s, performance reviews, and career development planning
• Define technical vision and roadmap while collaborating with leadership and cross-functional partners to align priorities
• Drive engineering excellence by establishing best practices for code quality, testing, and deployment

Technical Contribution

• Design and implement end-to-end ML applications, owning the full lifecycle from ideation to production deployment
• Architect high-performance solutions that directly impact key business metrics (NARPAU, GMV, revenue) while partnering with the ML Platform team to leverage and shape infrastructure
• Provide technical leadership through code reviews, system design guidance, and staying current with emerging ML technologies

Key Competencies

Technical Skills

• Proven track record in designing and implementing mission-critical ML systems with rapid deployment cycles
• Deep expertise with machine learning frameworks and libraries (PyTorch, Scikit-Learn, XGBoost, Jupyter)
• Experience with MLOps practices, including model versioning, monitoring, and A/B testing
• Outstanding programming proficiency in Python with deep understanding of software engineering best practices
• Working knowledge of AWS or equivalent cloud platforms

Leadership & Management Skills

• Experience with performance management, career development, and coaching engineers at various levels
• Ability to balance competing priorities and manage stakeholder expectations
• Experience driving technical strategy and influencing organizational decisions

Interpersonal Skills

• Exceptional communication skills with ability to translate complex technical concepts for diverse audiences
• Ability to influence without authority and build consensus among stakeholders

Problem-Solving and Decision-Making

• Strategic thinking with ability to balance short-term delivery with long-term technical vision
• Proactive identification of opportunities to apply ML for business value

Minimum Qualifications

• 7+ years of hands-on industry experience in machine learning engineering or related roles
• 2+ years of technical leadership or people management experience
• Proven track record of deploying ML models into production applications at scale

Preferred Qualifications

• Bachelor’s degree or higher in Computer Science, Machine Learning, or related technical field
• Prior experience managing ML/AI teams specifically
• Experience in startup or high-growth environments

At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.

Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.