Technical Program Manager, AI and ML Software (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Technical Program Manager, AI and ML Software in the United States.

This role offers a unique opportunity to lead high-impact AI and ML engineering programs, driving initiatives that support deep learning inference at scale. The Technical Program Manager will collaborate with cross-functional teams, including software, hardware, and tooling engineers, to ensure alignment and timely execution of complex projects. You will standardize planning, reporting, and execution practices, enabling data-driven decision-making and efficient delivery of AI software and hardware programs. This position requires strong strategic thinking, program management expertise, and the ability to navigate multi-time-zone teams while fostering collaboration and process improvement in a fast-paced, evolving environment.

Accountabilities:

·         Plan, coordinate, and oversee AI and ML engineering programs to achieve key business objectives.

·         Manage all aspects of program management, including scheduling, prioritization, dependency management, forecasting, and reporting.

·         Guide engineering teams in agile methodologies and best practices for software and hardware development.

·         Develop and track metrics to measure program effectiveness and identify areas for improvement.

·         Provide insights and recommendations to senior management on overall program status.

·         Drive organizational alignment and efficiency through cross-functional coordination.

·         Collaborate with hardware and software teams to implement and integrate inference libraries on new and existing platforms.

·         Postgraduate degree in Computer Science, Artificial Intelligence, or related field (or equivalent experience).

·         10+ years of program management experience, including leading global, multi-time-zone projects.

·         Proven ability to think strategically and tactically, building consensus to drive program success.

·         Hands-on experience in fast-paced software development environments.

·         Strong knowledge of software engineering and hardware bring-up processes.

·         Excellent communication, technical presentation, and stakeholder engagement skills.

·         Detail-oriented, able to multitask, adapt to changing priorities, and resolve technical issues or resource conflicts.

·         Proficiency with Agile tools, reporting systems, and program management processes.

Preferred Qualifications:

·         Background in Machine Learning, Deep Learning, AI, open-source software, infrastructure technologies, and GPU platforms.

·         Experience in software-hardware bring-up, production software development, and release management.

·         Track record of driving process improvements and measuring efficiency across teams.

·         Competitive base salary: $192,000–$304,750 USD for Level 5, $232,000–$368,000 USD for Level 6.

·         Eligibility for equity and performance-based incentives.

·         Comprehensive healthcare coverage, including medical, dental, and vision.

·         Opportunities for professional growth, training, and development.

·         Work on cutting-edge AI and ML programs with high-impact visibility across global teams.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias—focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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