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Role Description

In this role, you will lead the development and evolution of a cutting-edge data and AI platform that powers advanced geospatial insights and enterprise-scale data products. You will work at the intersection of product strategy, data engineering, and machine learning to transform AI-generated outputs into scalable platform capabilities.

• Define and drive the product roadmap for a scalable data and AI platform, focusing on ML-derived datasets and enterprise distribution models.
• Establish data taxonomy, schema governance, versioning, and lineage requirements to support structured and reliable data ecosystems.
• Translate machine learning research outputs into production-ready platform capabilities and enterprise-grade data products.
• Develop product requirement documents (PRDs) for AI-generated features, including attributes, quality frameworks, and confidence scoring mechanisms.
• Collaborate with data engineering, architecture, and ML teams to ensure performance, availability, and scalability requirements are clearly defined.
• Define requirements for API-first distribution models, geospatial data pipelines, event-driven workflows, and AI integration frameworks.
• Enable data monetization strategies such as Data-as-a-Service (DaaS) and API-based consumption models.
• Partner with product, go-to-market teams, and internal stakeholders to translate industry use cases into scalable platform capabilities.
• Establish success metrics, telemetry, and observability standards to measure adoption, performance, latency, and reliability.
• Lead cross-functional alignment and backlog prioritization, ensuring smooth collaboration between engineering, research, and business teams.

Qualifications

• 8+ years of experience in Technical or Platform Product Management, ideally focused on data platforms, AI systems, or cloud technologies.
• Strong understanding of machine learning lifecycle and productionization processes.
• Deep knowledge of data engineering concepts, distributed systems, and API-first platform design.
• Experience defining requirements for enterprise-scale data platforms and AI-integrated architectures.
• Familiarity with data modeling, schema governance, and data lifecycle management.
• Experience working with cloud platforms such as AWS or equivalent environments.
• Strong ability to translate complex technical systems into clear product requirements and strategic roadmaps.
• Excellent analytical thinking, communication, and stakeholder management skills, including the ability to engage senior leadership.
• Experience with SQL/NoSQL databases, vector databases, feature stores, or modern AI architectures is a plus.
• Background in geospatial data, imagery platforms, data monetization models, or enterprise SaaS ecosystems is advantageous.

Benefits

• Salary range: $110,000 – $157,600 annually, with bonus eligibility.
• Fully remote work environment across the United States.
• Comprehensive medical, dental, and vision insurance.
• Paid time off, sick leave, and parental leave.
• 401(k) retirement plan with company participation.
• Health Savings Account (HSA) options.
• Life insurance and employee assistance programs.
• Additional benefits such as pet insurance and wellness resources.