Product Manager
Virtualitics
Remote · Washington, DC · Posted July 24, 2026
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Where Washington, DC ranks
Where Washington, DC placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Cities hosting the most business conferences in the Mid-Atlantic104 conferences · of 12
- #1Cities hosting the most government & public sector conferences18 conferences · of 29
- #1Cities hosting the most accounting & audit conferences8 conferences · of 14
- #1Cities hosting the most finance conferences9 conferences · of 24
- #1Cities hosting the most legal conferences10 conferences · of 10
- #2Best cities for sales pay after cost of living$169k · of 45
Rankings about product jobs
- Best cities for product jobs #1 New York (738 openings)
- Best cities for product pay after cost of living #1 Santa Clara ($224k)
- Most requested AI skills in product jobs #1 AI product management (17.9%)
- AI tools named most often in product jobs #1 Claude (3.2%)
- Employers with the most product jobs #1 Amazon (356 roles)
Pay compared with the market
This listing does not state pay. Across 422 open product manager listings that state pay, the middle half runs $125,500 to $202,500 and the median is $157,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among marketing managers, AI is already used for a large share of the tasks. Measured exposure for marketing managers: 32% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
Product Manager Virtualitics Iris and Forward Deployed Applications Remote (DC area preferred) | Active Security Clearance or Security Clearance Eligibility | HQ: Pasadena, CA Virtualitics builds AI-native readiness intelligence for the US and allied nations’ defense sector. Our IRO application layer and Virtualitics AI Platform (VAIP) transform how defense organizations act on maintenance, logistics, and global force management data. Our team is actively refining agentic workflows, composable AI agents, and generative interfaces to replace static dashboards with dynamic, conversational intelligence. The Role You will work closely with cross-functional peers to own a specific product area, leading discovery and defining success metrics while ensuring day-to-day operational efficiency from the product development team. You will work with the engineering and AI teams to understand architectural tradeoffs, scope upcoming efforts, and pressure-test trade-offs in real time. The product serves two audiences: DoD operators and delivery teams (data scientists, engineers, partner integrators) who configure and maintain deployments of Virtualitics’ product offering. Responsibilities Own a specific product area: requirements, backlog management, prioritization, scope decisions, releases, and outcomes. Partner on technical decisions with engineering: architecture, feasibility, trade-offs. Challenge estimates that don't add up. Bridge users and engineers: translate operational readiness problems into product requirements through direct user research. You’ll be hands on with real users. Contribute to platform evolution: R&D work across data ontology management, agent orchestration (MCP/A2A), generative interfaces. Support delivery operations: ensure the product reduces manual effort across contract types and deployment models. Communicate clearly: demos, PRDs, cross-functional alignment. You are the connective tissue. Qualifications Eligibility to acquire and maintain a US Security Clearance (requires US Citizenship) CS degree (or equivalent technical degree) 2+ years of product management or software engineering experience shipping software in agile environments Comfortable reading code, reviewing architecture, and holding your own in technical discussions Excellent written and verbal communication. Preferred: Experience with AI/ML products, defense/government tech, or classified environments (SIPR/NIPR) Startup experience, especially navigating the scalability and automation phase Platform product experience: technical interfaces (APIs, SDKs) alongside standard web apps 1-2 years of software engineering experience Compensation Competitive salary, equity, and performance bonus Medical, dental, vision. Unlimited PTO. Growth path to Senior then Staff or Group Product Manager