Senior Technical Program Manager, Quantum ML & AI Platforms

Teraq Corp builds optimized, distributed quantum machine learning (QML) platforms and hybrid quantum and classical software for training and inference, orchestration across classical HPC and partner QPUs, and scheduling aimed at higher utilization and strong wall-clock performance. We work with customers in defense, sensing, and industrial markets.

What you will do

• Turn the technical roadmap into executable programs: milestones, dependencies, trade-offs, and exit criteria.
• Partner with research, engineering, product, and external collaborators on integration, delivery, and clean handoffs.
• Lead programs across the QML lifecycle - data and experiment governance, training at scale, simulator and hardware evaluation gates, and releases of models or services to customers.
• Align ML engineers, quantum scientists, and platform teams so hybrid workflows graduate to production-quality software.
• Define and run benchmarks and regression criteria (latency, cost per workload, quality vs. classical baselines).
• Manage program risk (technical, schedule, partnership) and support leadership with clear status and options.
• Provide concise reporting for leadership, investors, and partners where appropriate.
• Support customer and partner alignment - workshops, joint milestones, feedback loops - grounded in shipping the platform.

What we are looking for

• 7+ years in technical program management, engineering program management, or systems engineering in deep technology; ML platforms, MLOps, or large-scale training delivery is a strong fit.
• Technical depth to work credibly with ML engineers, quantum scientists, and executives on datasets, training jobs, metrics, and deployment constraints.
• Track record delivering complex products from early milestones through production-scale release in ambiguous environments.
• Excellent written communication, organization, and facilitation.

Preferred

• Quantum computing background grounded in established quantum computing research programs is strongly preferred; ideally at least a master's degree in quantum computing or a closely related field (for example quantum information science, quantum engineering, or physics).
• Familiarity with quantum machine learning in production contexts: parameterized quantum circuits, hybrid training loops, simulator vs. hardware validation, and classical baselines.
• Hands-on experience with quantum simulation stacks to inform sim-vs.-hardware decisions.
• Adjacent hardware programs or multi-party, security-conscious collaborations.
• Comfortable with Pacific (PT) or Mountain (Colorado) overlap; East Coast considered with Pacific-heavy integration weeks.

Location and travel

Headquarters in the San Francisco Bay Area. Hybrid or remote across the United States with predictable Pacific-time overlap during critical periods. Occasional domestic travel.

Teraq Corp is an equal opportunity employer. Qualified applicants are considered without regard to race, color, religion, gender, national origin, age, disability, veteran status, or other protected categories under applicable law.