Principal Technical Program Manager (AI)

TL;DR

Principal Technical Program Manager (AI): Defining and delivering critical programs with broad organizational, business, and technical impact for hirify.global's AI strategy, with an accent on bridging the gap between AI platform and customer-facing products. Focus on identifying and mitigating technical and business risks, streamlining efforts for efficiency and scale, and partnering with Engineering, Product Management, and Data Science teams to deliver high-quality, impactful AI products.

Location: Onsite in Menlo Park, CA, United States

Salary: $221,000–$317,400

Company

hirify.global empowers enterprises to achieve their full potential, fostering a culture of impact, innovation, and collaboration for building big and moving fast.

What you will do

• Define and deliver critical programs with broad organizational, business, and technical impact.
• Identify, manage, and mitigate technical and business risks threatening program success.
• Apply strong, data-driven, and strategic technical judgment to decision making.
• Partner with and influence Engineering, Product Management, and Data Science teams to execute effectively.
• Identify and fix inefficiencies by streamlining workflows, automating handoffs, and clarifying ownership.
• Work closely with leadership stakeholders to drive quarterly and annual planning and goal setting.

Requirements

• 10+ years of industry experience leading large complex engineering projects in cloud-based technologies.
• 2+ years in AI/ML Engineering Environments, with hands-on experience with LLM lifecycle (RAG, fine-tuning, prompt engineering) and scaling infrastructure.
• Comfortable using SQL and data visualization tools to analyze program health, identify engineering bottlenecks, and back up decisions with hard data.
• Strong technical understanding and judgment to dive deeply into sophisticated software systems, work with stakeholders to develop solutions and identify technical risks and tradeoffs.
• Experience working cross-functionally with engineering, product management, data science, customers, and other functions throughout the product life cycle.
• Excellent verbal and written communication skills, with the ability to adaptively interact with technical and non-technical groups at all levels of seniority.
• BS/MS/PhD degree in Computer Science, Engineering, or related fields or equivalent practical experience.

Culture & Benefits

• Culture focused on impact, innovation, and collaboration.
• Opportunity to build big, move fast, and advance technology and careers.
• Environment for challenging ordinary thinking and pushing the pace of innovation.