Software Engineering Program Manager (AI)

TL;DR

Software Engineering Program Manager (AI): Leading the planning and execution of GPU AI software stack components, including libraries, frameworks, and applications, with an accent on software release management and cross-functional coordination. Focus on technical guidance for scoping/requirements, proactive risk management, and ensuring adherence to SDLC best practices.

Location: This role is eligible for a hybrid work model, splitting time between on-site at an hirify.global US location (Oregon, California, Arizona) and off-site. Must be based in the US.

Salary: $188,330.00–$265,870.00 USD annually

Company

hirify.global is a corporation that drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services for client and data center markets.

What you will do

• Oversee software release management, ensuring timely and high-quality releases for GPU AI software stack components.
• Drive project execution, coordinating with development, product management, and release teams.
• Identify, assess, and manage project risks and issues, implementing mitigation strategies.
• Facilitate effective communication across cross-functional teams and manage trade-offs between competing priorities.
• Ensure adherence to software development lifecycle (SDLC) best practices, including security, privacy, and licensing compliance.
• Drive requirements scoping, analysis, priorities, and planning across software teams contributing to program milestones.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
• 7+ years of experience managing software development projects.
• 7+ years of experience with AI frameworks such as TensorFlow, PyTorch, or similar.
• 5 years of experience in deploying and scaling AI solutions using industry-standard libraries and tools.
• Experience leading programs with emphasis on designing, developing, and optimizing machine learning or deep learning models.

Nice to have

• Experience with requirements management tools such as JIRA.
• Proficiency in building, maintaining, and automating reports using Microsoft Power BI or Grafana.
• In-depth knowledge of software development lifecycle practices, including security, privacy, licensing, and agile development methodologies.
• Understanding of AI application workflows, including data preprocessing, model training, and deployment.
• Proven experience delivering complex software projects on time and within budget.

Culture & Benefits

• Comprehensive total compensation package including competitive pay, stock bonuses, and benefit programs for health, retirement, and vacation.
• Hybrid work model allows employees to split their time between working on-site at an assigned hirify.global site and off-site.
• Commitment to Responsible Business Alliance (RBA) compliance and ethical hiring practices.