AI Product Owner – Runtime Platform

About the role

We are seeking a visionary AI Product Owner to lead the strategy, roadmap, and execution for our AI Runtime 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.

Responsibilities

• Define and prioritize the multi-year roadmap for the AI Runtime 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
• AIFamiliarity 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

Equal Opportunity Employer

We value diverse perspectives and backgrounds. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, disability, gender identity, gender expression, protective status, or veteran status.

Schedule

Full time

Pay

$180,000 - $220,000 per year

Benefits

Competitive compensation, equity, and benefits

Contact Information

To apply, please submit your resume and a brief note on why you're excited about building the next generation of enterprise AI runtimes.