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 Do 

Own 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 

Partner with Engineer teams to establish customer and implement methods for tracking user adoption metrics including: 

• customer product engagement (ADU/WDU/MDU) 

• workflow completion rates 

• feature utilization and engagement 

• value tracking 

Help communicate benchmark progress internally and partner with Product Marketing to communicate externally as a competitive differentiator. 

Create the "magic moment" 

Drive the product toward the moment when Site Sentry autonomously delivers intelligence that surprises the customer. Success isn't simply helping analysts complete existing workflows faster. Success is producing intelligence they would not have discovered themselves. 

Lead market strategy 

Understand customer missions across defense, intelligence, commercial, energy, infrastructure, humanitarian, and government markets. 

Translate customer problems into differentiated AI-native capabilities while continuously monitoring competitive dynamics across geospatial AI, foundation models, autonomous systems, and remote sensing. 

Build an AI-native platform 

Partner across the organization to define a platform strategy including: 

• connectors 

• enterprise integrations 

• autonomous workflows 

• reusable Skills 

• APIs 

• agent frameworks 

• partner ecosystem 

• model orchestration 

Help ensure Site Sentry becomes an intelligence platform rather than a standalone application. 

Drive company-wide alignment 

Serve as the product leader across engineering, AI, sales, marketing, customer success, operations, finance, and executive leadership. 

Represent Site Sentry internally and externally while articulating product strategy, AI roadmap, benchmark progress, and customer value. 

What Success Looks Like 

Within this role, success means: 

• Intelligence production scales faster than analyst headcount. 

• Customers increasingly receive intelligence before requesting it. 

• Analysts spend more time validating high-value findings than searching for them. 

• Benchmark performance exceeds human analyst baselines for key intelligence tasks. 

• Customers expand imagery consumption because Site Sentry can autonomously convert additional imagery into actionable intelligence. 

• Site Sentry becomes recognized as the industry's leading agentic geospatial intelligence platform. 

• Adoption and sustained use of autonomous intelligence capabilities increase across strategic customer deployments.  

• Customers consistently trust autonomous intelligence outputs for operational decision-making.  

• Roadmap investments deliver measurable improvements in customer outcomes, adoption, and mission effectiveness. 

Minimum Qualifications 

• U.S. Citizen or Permanent Resident 

• Bachelor's degree in Engineering, Computer Science, Business, Earth Science, Information Systems, or equivalent practical experience 

• 5+ years of Product Management experience building enterprise software or AI products 

• Experience leading cross-functional teams through ambiguous, technically complex product initiatives 

• Experience defining product strategy from concept through market adoption 

• Strong written and verbal communication skills 

• Ability to travel up to 30% 

Preferred Qualifications 

• Experience shipping AI-first or agentic software products 

• Experience working with foundation models, LLMs, reasoning models, AI agents, or autonomous workflows 

• Experience with computer vision, geospatial AI, remote sensing, or Earth observation products 

• Experience developing products that combine machine learning with enterprise workflows 

• Familiarity with benchmark design, AI evaluation methodologies, and model performance measurement 

• Experience with AI orchestration frameworks, MCP, enterprise integrations, APIs, or automation platforms 

• Experience leveraging AI and Agentic approaches in real-world products and/or business environments. 

• Experience building products for defense, intelligence, or national security customers 

• MBA or advanced technical degree 

• Active or ability to obtain TS/SCI clearance 

The Ideal Candidate 

You think beyond features and roadmaps. You think in terms of systems, incentives, and technological inflection points. 

You understand that the future of enterprise software is increasingly agentic, where software does work rather than simply helping people do work. 

You are comfortable operating at the intersection of product management, AI, user experience, and business strategy, translating advances in foundation models and machine learning into products customers trust for mission-critical decisions. 

You are equally comfortable discussing benchmark methodology with AI researchers, product strategy with executives, workflow design with engineers, and operational pain points with intelligence analysts. 

Most importantly, you are motivated by building products that fundamentally change how intelligence is produced—not by making existing workflows incrementally more efficient.