Senior Manager - Advanced Technology (AI)

Location: Portland, Oregon, United States; onsite role.

Salary: $141,440–$176,800 annual base salary, depending on experience and location.

Company

hirify.global Power operates technology and digital transformation initiatives supporting energy operations, asset and energy management, trading, growth solutions, and operations and maintenance.

What you will do

• Lead hirify.global Power’s artificial intelligence program and maintain the AI technology roadmap across the business value chain.
• Architect and deliver AI/ML training and inference platforms, physics-based modeling environments, and streaming analytics infrastructure.
• Define workload placement across on-premises HPC, cloud GPUs, and accelerated endpoints, including storage and high-throughput data pipeline patterns.
• Lead a team of 4 direct reports and more than 20 indirect reports across platform engineering, ML engineering, prompt and agent engineering, and SRE.
• Manage technology providers and strategic vendors while coordinating infrastructure, integration, lifecycle management, deployment standards, and service delivery.
• Oversee technology operations, observability, incident response, testing, benchmarking, security integration, data governance, and continuous improvement.

Requirements

• 10+ years of experience working with technology and digital tools.
• 10+ years in advanced computing, HPC/GPU platforms, or large-scale data and AI systems, including 3–5+ years operating production ML or analytics platforms in mission-critical environments.
• Experience translating business goals into compute architectures and products, preferably in energy, industrials, or similarly complex operations.
• Hands-on experience with GPU/HPC orchestration, workload schedulers, containerized stacks such as Kubernetes, observability, and performance benchmarking.
• Hands-on experience with AI platforms from public cloud providers, including Azure and AWS.
• Experience leading cross-functional teams and multi-vendor ecosystems, with knowledge of IT controls, security standards, and data governance.

Nice to have

• Experience integrating compute platforms with forecasting, condition monitoring, PI/data historians, SCADA, real-time OT/IT data, or trading applications.
• Background in renewables or grid-scale operations and familiarity with feature engineering, retraining, and model drift management.
• Master’s degree in computer engineering, data science, or a related field.

Culture & Benefits

• Competitive benefits and performance-based bonuses.
• 12% 401(k) match.
• Health, dental, and vision insurance.
• Tuition reimbursement and professional development opportunities.
• Career advancement pathways and a focus on collaboration, leadership, continuous improvement, and results.