AI Product Owner

Location: Austin, TX · Remote · Full time

Salary: $180,000–$220,000 per year

Company

hirify.global is a professional services firm delivering future-state software solutions for Fortune 500 companies, with a focus on cybersecurity, cloud computing, data analytics, and AI.

What you will do

• Own the multi-year strategy, roadmap, prioritization, and full product lifecycle for the AI Platform runtime layer.
• Translate user needs from Intelligence Community, DoD, and enterprise customers into actionable platform features with engineering, research, cybersecurity, and customer success teams.
• Lead runtime capabilities including model serving, quantization, distillation, dynamic batching, multi-framework support, edge deployment, and resource-efficient scheduling.
• Drive latency optimization, throughput scaling, fault tolerance, monitoring, A/B testing, explainability, bias detection, and auditability for production AI workloads.
• Run sprint planning, backlog grooming, and release cycles in an agile, OKR-driven environment.
• Support sales and solutions teams with technical demonstrations, RFPs, master agreements, and proof-of-concept deployments.

Requirements

• 5+ years as a Product Owner, Product Manager, or technical lead in AI/ML platforms, including direct experience shipping production runtime, inference, or MLOps solutions.
• Strong understanding of AI runtimes including ONNX Runtime, TensorRT, TorchServe, vLLM, and Triton; model optimization, Docker/Kubernetes containerization, and orchestration tools.
• Track record delivering AI solutions to large organizations or USG customers; experience with NIST AI RMF, NIST CSF, or similar governance frameworks is highly desired.
• Ability to lead without direct authority and make trade-off decisions in ambiguous, fast-moving environments.
• Bachelor’s or Master’s degree in Computer Science, AI/ML, Engineering, or equivalent experience.
• Ability to obtain and maintain a US security clearance is preferred.

Nice to have

• Familiarity with causal inference tooling, digital twins, and synthetic data pipelines.
• Hands-on experience with OWL ontologies, RDF, or semantic modeling for AI systems.
• Experience in aerospace and defense, manufacturing, or healthcare AI.
• Familiarity with Palantir ecosystem concepts or similar data/AI platforms.
• Experience building developer platforms or internal AI factories serving multiple downstream applications.

Culture & Benefits

• Competitive compensation, equity, and benefits.
• Collaborative environment with teams experienced in government and commercial AI.
• Opportunity to shape foundational AI infrastructure for enterprise and national security initiatives.
• Direct impact on national security and enterprise transformation programs.

Hiring process

• Submit a resume and a brief note explaining interest in building the next generation of enterprise AI runtimes.