JOB DETAILS
AI Product Owner
CompanyCyberhill Partners
LocationAustin
Work ModeRemote
PostedOctober 18, 2026
About The Company
No description available for this Company.
About the Role
We are seeking a visionary AI Product Owner to lead the strategy, roadmap, and execution for our AI Platform. This platform powers high-performance, secure, and scalable inference and model serving across cloud, on-prem, edge, and air-gapped environments for large enterprise and national security customers.
About Cyberhill Partners, INC
Cyberhill Partners is a professional services firm specializing in engineering future-state software solutions for Fortune 500 companies. Focusing on cybersecurity, cloud computing, data analytics, and AI, Cyberhill provides comprehensive implementation services that drive success and security. With over 800 complex cybersecurity implementations completed, Cyberhill is an established and trusted services partner.
Description
As Product Owner, you will own the full product lifecycle of the runtime layer, from core inference engines and optimization tooling to orchestration, observability, and integration with enterprise AI factories. You'll work at the intersection of AI engineering, MLOps, and mission-critical deployment, ensuring our runtime delivers industry-leading speed, reliability, cost-efficiency, and compliance with frameworks such as NIST AI RMF.
Key Responsibilities
Define and prioritize the multi-year roadmap for the AI Platform, balancing scalability, performance, security, and advanced use cases like digital twins, causal inference, real-time simulation, and predictive maintenance
Partner with engineering, research, cybersecurity, and customer success teams to translate user needs, especially from Intelligence Community, DoD, and large enterprise customers, into actionable features
Own runtime features including model serving (ONNX, TensorRT, custom runtimes), quantization, distillation, dynamic batching, multi-framework support, edge deployment, and resource-efficient scheduling
Drive latency optimization, throughput scaling, fault tolerance, monitoring, and A/B testing for production AI workloads
Ensure runtime capabilities meet enterprise and USG security standards, including zero-trust architectures, explainability hooks, bias detection interfaces, and auditability
Run sprint planning, backlog grooming, and release cycles with engineering squads in an agile, OKR-driven environment
Track emerging runtime technologies, competitor capabilities, and customer demand in enterprise AI deployment
Support sales and solutions teams with technical demos, RFPs, master agreements, and proof-of-concept deployments
Qualifications
5+ years as a Product Owner, Product Manager, or technical lead in AI/ML platforms, with direct experience shipping production runtime, inference, or MLOps solutions
Strong understanding of AI runtimes (ONNX Runtime, TensorRT, TorchServe, vLLM, Triton), model optimization, containerization (Docker/Kubernetes), and orchestration tools; familiarity with causal inference tooling, digital twins, and synthetic data pipelines a strong plus
Proven track record delivering AI solutions to large organizations or USG customers; experience with NIST AI RMF, NIST CSF, or similar governance frameworks highly desired
Demonstrated 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 preferred
Preferred Skills
Hands-on experience with OWL ontologies, RDF, or semantic modeling for AI systems
Background in high-stakes domains such as aerospace & 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
What We Offer
Opportunity to shape foundational AI infrastructure used by the most demanding customers in the world
Competitive compensation, equity, and benefits
Direct impact on national security and enterprise transformation initiatives
Collaborative culture built by teams with deep government and commercial AI expertise
To apply, please submit your resume and a brief note on why you're excited about building the next generation of enterprise AI runtimes.
Equal Opportunity Employer – We value diverse perspectives and backgrounds.
Salary
$180,000 - $220,000 per year
About Cyberhill Partners, INC
Cyberhill Partners is a professional services firm specializing in engineering future-state software solutions for Fortune 500 companies. Focusing on cybersecurity, cloud computing, data analytics, and AI, Cyberhill provides comprehensive implementation services that drive success and security. With over 800 complex cybersecurity implementations completed, Cyberhill is an established and trusted services partner.
Description
As Product Owner, you will own the full product lifecycle of the runtime layer, from core inference engines and optimization tooling to orchestration, observability, and integration with enterprise AI factories. You'll work at the intersection of AI engineering, MLOps, and mission-critical deployment, ensuring our runtime delivers industry-leading speed, reliability, cost-efficiency, and compliance with frameworks such as NIST AI RMF.
Key Responsibilities
Define and prioritize the multi-year roadmap for the AI Platform, balancing scalability, performance, security, and advanced use cases like digital twins, causal inference, real-time simulation, and predictive maintenance
Partner with engineering, research, cybersecurity, and customer success teams to translate user needs, especially from Intelligence Community, DoD, and large enterprise customers, into actionable features
Own runtime features including model serving (ONNX, TensorRT, custom runtimes), quantization, distillation, dynamic batching, multi-framework support, edge deployment, and resource-efficient scheduling
Drive latency optimization, throughput scaling, fault tolerance, monitoring, and A/B testing for production AI workloads
Ensure runtime capabilities meet enterprise and USG security standards, including zero-trust architectures, explainability hooks, bias detection interfaces, and auditability
Run sprint planning, backlog grooming, and release cycles with engineering squads in an agile, OKR-driven environment
Track emerging runtime technologies, competitor capabilities, and customer demand in enterprise AI deployment
Support sales and solutions teams with technical demos, RFPs, master agreements, and proof-of-concept deployments
Qualifications
5+ years as a Product Owner, Product Manager, or technical lead in AI/ML platforms, with direct experience shipping production runtime, inference, or MLOps solutions
Strong understanding of AI runtimes (ONNX Runtime, TensorRT, TorchServe, vLLM, Triton), model optimization, containerization (Docker/Kubernetes), and orchestration tools; familiarity with causal inference tooling, digital twins, and synthetic data pipelines a strong plus
Proven track record delivering AI solutions to large organizations or USG customers; experience with NIST AI RMF, NIST CSF, or similar governance frameworks highly desired
Demonstrated 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 preferred
Preferred Skills
Hands-on experience with OWL ontologies, RDF, or semantic modeling for AI systems
Background in high-stakes domains such as aerospace & 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
What We Offer
Opportunity to shape foundational AI infrastructure used by the most demanding customers in the world
Competitive compensation, equity, and benefits
Direct impact on national security and enterprise transformation initiatives
Collaborative culture built by teams with deep government and commercial AI expertise
To apply, please submit your resume and a brief note on why you're excited about building the next generation of enterprise AI runtimes.
Equal Opportunity Employer – We value diverse perspectives and backgrounds.
Salary
$180,000 - $220,000 per year
Key Skills
ONNX RuntimeTensorRTModel ServingKubernetesMLOpsProduct Management
Categories
ProductEngineeringData
Benefits
Equity
Job Information
📋Core Responsibilities
Own the full product lifecycle of the AI Platform runtime layer, defining and prioritizing the multi-year roadmap for inference, model serving, optimization, orchestration and observability. Partner with engineering, research, cybersecurity and customer success teams to translate enterprise and USG customer needs into features, and run sprint planning, backlog grooming and release cycles.
📋Job Type
full time
💰Salary Range
$180,000 - $220,000
📊Experience Level
5-10
💼Company Size
Not specified
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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