Job description

Who We Are: Kudu Dynamics is Leidos Owned Company, forged out of a decade of experience in computer network operations and staffed with talent who have built, overseen, and enhanced capabilities throughout the entire USG arsenal. Our team of hackers and engineers have experience spanning centuries of research, development, and operations missions - across desktop, mobile, IoT, and embedded platforms. Kudu Dynamics, a Leidos company is uniquely qualified to anticipate tomorrow’s threats and build the next generation of capabilities. We are seeking a Technical Program Manager to lead execution across the teams developing an AI-powered, autonomous vulnerability operations platform. The role sits between vulnerability researchers, software engineers, machine learning engineers, and government stakeholders, and is responsible for translating an evolving technical capability into a product delivered on a predictable release cadence. Responsibilities could span roadmap and release planning, dependency management across model providers and third-party components, and coordination of accreditation and deployment timelines for a range of implementation environments and diverse customer stakeholders. The Technical Program Manager will maintain sufficient technical depth to evaluate estimates, identify unstated dependencies, and communicate scope, schedule, and risk accurately to both engineering teams and senior stakeholders. Required Experience: 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. Relevant Skills: 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 Program Manager – Job Description: 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 Preferred Qualifications: 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, If you re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We re not hiring followers. We re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We re already at step 30 — and moving faster than anyone else dares. Original Posting: September 9, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Requirements

Must-haves

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.
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

Technical fluency sufficient to review design documentation, evaluate estimates, and manage dependencies at the architecture level. Hands-on engineering background preferred.
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,
Original Posting: September 9, 2026

Application prep

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Keywords to mirror

aimachine learningmlagilescrumci/cdkubernetesapillm

Platform: workday
Effort: long