Site Monitoring Product Manager
Listed on 2026-08-29
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IT/Tech
AI Business & Operations
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can:
Shape your own future, build the next big thing, and change the world.
To be eligible for this position, you must a a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.
Export Control/ITAR:
Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).
Please review the job details below.
Life with Us Your MissionThe next generation of geospatial intelligence will not be defined by better dashboards or more imagery—it will be defined by autonomous intelligence production.
Today, organizations are constrained by analyst capacity. Customers can acquire more imagery than ever before, but they cannot generate proportionally more intelligence because every report, alert, and assessment still depends on human analysts.
Site Sentry exists to break that constraint.
As Principal Product Manager for Site Sentry, you will help define and be responsible for executing the strategy for Site Sentry as a key component of Vantor’s agentic geospatial intelligence platform; capable of autonomously detecting activity, generating assessments, producing reports, tasking collection, and delivering actionable intelligence without requiring users to ask for it.
Your mission is to make intelligence production scale independently of analyst hours.
This role sits at the intersection of product strategy, AI, remote sensing, user experience, and autonomous systems. You’ll work across engineering, AI research, operations, product design, GTM, and customers to continue to refine what an AI Intelligence Analyst looks like—and then deliver it.
What You’ll DoOwn the product vision for autonomous geospatial intelligence
Define and own execution for the long-term strategy for Site Sentry as an agentic intelligence platform, evolving beyond dashboards and workflows toward autonomous intelligence generation.
Drive the roadmap around one guiding objective:
Help customers discover what they don’t yet know.
Lead the end-to-end product lifecycle from discovery through launch and iteration, including problem definition, product requirements, user stories, success metrics, release planning, roadmap prioritization, and post‑launch performance optimization.
Build products that work while customers sleep
Prioritize experiences that continuously generate value and improve mission outcomes without requiring user interaction.
Examples include:- Autonomous report generation
- Predictive alerts
- Persistent monitoring
- Intelligent task creation
- Collection recommendations
- AI‑generated change assessments
- Workflow automation
- Continuous intelligence delivery
Champion proactive delivery through APIs, enterprise integrations, chat, email, collaboration platforms, and emerging AI‑native protocols such as MCP rather than relying exclusively on application-based workflows.
Partner deeply with AI and Engineering
Work alongside AI researchers, ML engineers, software engineering, and operations to define how foundation models, computer vision models, reasoning systems, and orchestration frameworks combine into customer‑facing capabilities.
Balance investments across:- object detection
- anomaly detection
- report generation
- multi‑modal reasoning
- planning agents
- retrieval
- workflow orchestration
- evaluation
- user experience
Own product performance—not just features
Define measurable benchmarks that represent customer value and achieve improved mission outcomes.
Partner with AI teams to establish rigorous evaluation frameworks across:- detection quality
- report quality
- alert precision
- reasoning quality
- intelligence accuracy
- automation rate
- analyst time saved
- customer trust
- customer product engagement (ADU/WDU/MDU)
- workfl…
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