Technical Program Manager

Leidos•Columbus, OH

3d•$131,300 - $237,350

About The Position

Kudu Dynamics, a Leidos company, is seeking a Technical Program Manager to lead the execution of an AI-powered, autonomous vulnerability operations platform. This role involves translating evolving technical capabilities into a product delivered on a predictable release cadence, bridging the gap between vulnerability researchers, software engineers, machine learning engineers, and government stakeholders. Responsibilities include roadmap and release planning, dependency management, and coordination of accreditation and deployment timelines across various environments and customer stakeholders. The Technical Program Manager must maintain sufficient technical depth to evaluate estimates, identify dependencies, and communicate scope, schedule, and risk effectively to both engineering teams and senior stakeholders.

Requirements

10+ years of professional experience in technical program management, engineering management, or product development, including delivery of software products to production.
Experience owning technical delivery from concept through production release, including scoping, sequencing, and driving execution across multiple engineering disciplines without direct authority.
Technical fluency sufficient to review design documentation, evaluate estimates, and manage dependencies at the architecture level.
Hands-on engineering background preferred.
Experience managing software deployments and release processes at scale across multiple cloud, on-premises, and air-gapped or classified installations, including the constraints those environments place on release cadence and update paths.
Experience delivering in a government or regulated environment, including management of accreditation timelines (RMF, ATO, and continuous ATO) as schedule dependencies.
Experience managing programs which incorporating AI/ML or agentic components.
Demonstrated ability to communicate program status, risk, and tradeoffs to engineering teams, executive leadership, and customer stakeholders.
Program Execution: Roadmap development, release planning, and cadence management, actual/planned program financials.
Cross-team dependency mapping and critical path management.
Risk identification, mitigation planning, and escalation.
Agile, Scrum, SAFe, or Kanban at team and program level.
Program metrics and reporting, including Release Health, and Progress Briefs.
Technical Fluency: Software development lifecycle and DevSecOps pipelines.
CI/CD, build integrity, and release engineering.
Cloud and on-premises infrastructure, containers, and Kubernetes.
API and integration planning across systems and vendors.
Vulnerability management workflows and security tooling (SAST, DAST, SCA).
AI/LLM system delivery, including evaluation frameworks, model orchestration, and benchmarking.

Nice To Haves

Prior experience supporting vulnerability research, offensive security, or cyber operations programs.
Experience transitioning research or prototype capability into a sustained product.
Active security clearance.
Certifications such as PMP.

Responsibilities

Lead execution across teams developing an AI-powered, autonomous vulnerability operations platform.
Translate evolving technical capabilities into a product delivered on a predictable release cadence.
Manage roadmap and release planning.
Manage dependencies across model providers and third-party components.
Coordinate accreditation and deployment timelines for a range of implementation environments and diverse customer stakeholders.
Maintain sufficient technical depth to evaluate estimates, identify unstated dependencies, and communicate scope, schedule, and risk accurately to both engineering teams and senior stakeholders.
Own technical delivery from concept through production release, including scoping, sequencing, and driving execution across multiple engineering disciplines without direct authority.
Manage software deployments and release processes at scale across multiple cloud, on-premises, and air-gapped or classified installations.
Manage programs which incorporate AI/ML or agentic components.
Communicate program status, risk, and tradeoffs to engineering teams, executive leadership, and customer stakeholders.