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Deputy Chief Technology Officer / Product Owner

Engineering & Product · Executive Leadership Track

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About Anubis Labs

Anubis Labs specializes in Subsurface Intelligence using proprietary Synthetic Aperture Radar technology for depth-resolved subsurface analysis serving the energy, mining, and critical infrastructure markets. Our core asset is a patented algorithm called HSAR (Harmonic SAR), which uses CUDA-accelerated processing to convert radar signals into depth-resolved material compositions, rendered as interactive 3D volumetric scenes streamed to a user’s browser. The platform replaces and supplements slow, costly, depth-limited methods like seismic surveys and exploratory drilling, compressing analysis cycles by roughly 100x. Anubis Labs differentiates on security and data sovereignty as much as on the algorithm itself: the platform runs a two-plane architecture, with a commercial SaaS plane handling the customer-facing app and a fully air-gapped, on-premises “sovereign” plane housing the sensitive HSAR core and raw data. Rather than replacing industry-standard tools like Petrel, DecisionSpace, or Leapfrog, Anubis feeds processed results into them, and is architected to extend into government services and adjacent markets.

Position summary

Anubis Labs is seeking a Deputy Chief Technology Officer / Product Owner to serve as a senior technical and product leader, partnering directly with the CTO to drive engineering excellence, cloud-native and Kubernetes architecture strategy, and the delivery of enterprise-scale AI solutions. This individual will bridge deep hands-on technical expertise across the full software development lifecycle with product ownership, customer engagement, and organizational leadership. The ideal candidate has built and operated large-scale, cloud-native platforms, has substantial experience delivering sovereign and enterprise AI solutions, and is equally comfortable architecting systems, leading engineering teams, and presenting solutions to customers and executive stakeholders.

Key responsibilities

  • Act as deputy to the CTO, sharing accountability for technical strategy, architecture direction, and engineering execution across the organization.
  • Own product outcomes end-to-end, translating business and customer requirements into technical roadmaps, backlogs, and delivery plans.
  • Lead and mentor engineering teams across the full software development lifecycle — design, development, testing, deployment, and operations.
  • Design, implement, and continuously improve CI/CD pipelines using common open source tooling, driving reliability, security, and speed of delivery.
  • Architect and operate enterprise-scale, cloud-native solutions on Kubernetes, including the surrounding ecosystem of infrastructure, networking, security, and observability tooling.
  • Lead the design and delivery of sovereign, on-premises and cloud-based AI solutions, including AI agents and underlying AI compute platforms.
  • Leverage NVIDIA tools, technologies, and hardware platforms to optimize AI training, inference, and compute infrastructure.
  • Apply AI to scientific and computational workloads, working with the specialized tools and frameworks used in AI-driven scientific computing.
  • Represent the organization in public speaking engagements, technical presentations, and customer-facing solution demonstrations.
  • Partner with sales, customers, and delivery teams on solution development, value-based management, and program planning.
  • Champion Agile practices across engineering and product teams, ensuring predictable, high-quality delivery.
  • Produce clear, effective technical and business writing, including architecture documentation, proposals, and executive communications.

Required qualifications & experience

Engineering & Delivery

  • 15+ years of professional experience in software engineering, with demonstrated growth into senior technical leadership.
  • Proven talent across the full software development lifecycle, from requirements and architecture through deployment and operations.
  • Strong working knowledge of common open source CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions, ArgoCD, Tekton, or similar).
  • Demonstrated skill in both CI/CD pipeline development and day-to-day operations at scale.

Cloud-Native & Kubernetes

  • 5+ years of hands-on Kubernetes experience, including the broader ecosystem of tools and technologies that make up Kubernetes architecture (e.g., Helm, Istio/service mesh, container registries, ingress controllers, observability and monitoring stacks, GitOps tooling).
  • Track record of building enterprise-scale products and solutions on cloud-native and Kubernetes-based architectures.

Artificial Intelligence

  • 3+ years of experience building AI solutions, including sovereign, on-premises and cloud-based AI platforms, AI agents, and AI compute infrastructure.
  • Hands-on experience with NVIDIA tools and technologies (e.g., CUDA, NVIDIA AI Enterprise, NIM, DGX systems, or similar).
  • Experience applying AI to scientific and computational workloads, and familiarity with the tools used in AI-based scientific computing.

Leadership & Communication

  • Demonstrated experience in public speaking, executive and customer presentations, and live solution demonstrations.
  • Experience in solution development, value-based management, and strategic planning.
  • Practical experience operating within Agile methodologies (Scrum, Kanban, or SAFe).
  • Excellent written communication skills, with the ability to produce clear technical and executive-level documentation.

Preferred qualifications

  • Prior experience in a Deputy CTO, VP of Engineering, Chief Architect, or senior Product Owner role.
  • Experience operating in government, defense, or other environments requiring sovereign/air-gapped AI deployments.
  • Relevant certifications (e.g., CKA/CKAD/CKS, NVIDIA certifications, cloud provider architect certifications).
  • Advanced degree in Computer Science, Engineering, or a related technical field, or equivalent experience.

Core competencies

  • Strategic and hands-on technical leadership
  • Cloud-native and Kubernetes architecture
  • AI/ML platform and agent development
  • Executive presence and customer-facing communication
  • Agile delivery and cross-functional collaboration
  • Clear, persuasive technical writing

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Anubis Labs is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, or any other characteristic protected by applicable federal, state, or local law. If you require a reasonable accommodation during the application process, contact careers@anubislabs.ai.