
Technical Product Manager – Information Advantage & Cloud / Data Center Solutions
$154,050 - $278,475 / year
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Job Description
The Leidos Digital Modernization Sector is seeking a Technical Product Manager at our Leidos Headquarters in Reston, VA.
POSITION SUMMARY:
Leidos is seeking a Technical Product Manager (TPM) to drive the lifecycle management of our Information Advantage and Cloud / Data Center mission drivers. This role sits at the intersection of engineering, mission enablement, and product strategy — ensuring our Mission Drivers (repeatable solutions) are commercial-grade, hardened, and aligned with federal modernization mandates and Administration Executive Orders and Mandates. The ideal candidate brings deep technical fluency in artificial intelligence and cloud / data center, combined with product leadership expertise to guide complex offerings from concept to sustainment. This role requires a balance of strategic vision, technical insight, and operational discipline to turn mission knowledge into scalable, repeatable frameworks, capabilities, solutions, and services.
CLEARANCE REQUIREMENT:No initial clearance is required to start; however you must be able to obtain and maintain a DoD Secret security clearance. (US Citizenship required)
PRIMARY RESPONSIBILITIES:
- You will transform prototypes and innovative proofs of concept into repeatable, secure, commercial-based solutions that scale across programs and mission domains.
- Lead lifecycle management of AI, data analytics, and cloud integration mission drivers.
- Collaborate with data science, cloud engineering, and cybersecurity teams to define architectures for secure data processing and model deployment.
- Ensure alignment with federal AI strategies, responsible AI governance, and NIST AI RMF.
- Drive integration of commercial cloud and AI platforms (e.g., AWS SageMaker, Azure ML, Databricks, Anthropic/OpenAI toolchains).
- Develop product roadmaps for AI/ML-enabled mission outcomes, ensuring reusability across multiple customers.
- Establish KPIs for performance, trust, and adoption of data-driven solutions.
Market Analysis and Research
- Proficiency in conducting ongoing market research, competitive analyses, and validating user problems to inform product priorities. This includes monitoring market trends and developing insights to shape product vision.
- Research and Insights: Expertise in customer, usability, and market research, including data-driven decision-making to achieve product goals.
- Gather and analyze data from customers, stakeholders, and industry sources to refine product features.
- Collaborate on go-to-market strategies, pricing, and positioning based on analytical findings.
Pricing strategy development and Life-Cycle Costing
- Assisting in building and understanding cost models for Total Ownership Cost (TOC)including: implementation, sustainment, training, support, decommissioning etc.
- Ability to help design, and implement pricing models (e.g. subscription, usage-based, tiered, etc)
- Understanding of value-based, fixed price, and competitive pricing methods
- Knowledge of Business Case Development and Financial Modeling
- Assist in building pricing models and forecasting revenue/margin impact.
- Help evaluate trade-offs between volume, margin, and market share.
Value proposition and packaging
- Helping to define product bundles and packaging strategies for customer across target segments and sectors
- Help in creating the value story of mission drivers
- Collaborating with customer-facing, sales and growth teams to align pricing with perceived value.
- Bonus: experience with commercial product and services development and execution in the federal space (FAR part 12)
Political & Budget Cycle Awareness
- Aligning product roadmaps with fiscal year (FY) budgets, continuing resolutions (CRs), and reprogramming requests. (e.g. prioritizing features that can be delivered before end-of-year spend-out)
Agile in a Waterfall World
- Showing flexibility to tactically use Agile/Scrum practices within waterfall-gated acquisition milestones
- Strong technical acumen with the ability to communicate complex concepts clearly to mission stakeholders.
BASIC REQUIREMENTS
- Masters degree in Computer Science, Engineering, or related technical discipline and 15 years of relevant work history; Bachelor's degree with additional years of experience may be substituted in lieu of a Masters degree.
- 5–10 years of experience in technical product management
- Strong grasp of federal technology and modernization policies.
- Proven success leading cross-functional teams in complex, secure environments.
- Ability to balance technical depth and strategic vision in product decisions.
PREFERRED SKILLS:
- Experience with AI/ML lifecycle management, MLOps, and data governance.
- Understanding of hybrid cloud architectures and secure data pipelines.
- Familiarity with federal cloud policies, OMB and FedRAMP requirements, and AI ethics frameworks.
- Active DoD security clearance.
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:
December 11, 2025For 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 $154,050.00 - $278,475.00The 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.
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
