• Own the end-to-end product lifecycle for your area - discovery, definition, delivery, and iteration - in lockstep with Engineering and Design. This includes driving how we turn non-deterministic LLMs into reliable, mission-critical mortgage automation: defining requirements, evaluating tradeoffs, and setting success criteria. • Lead customer discovery with mortgage lenders, loan officers, and ops teams - running interviews, digging into workflows, and turning what you learn directly into a roadmap grounded in customer evidence, business strategy, and technical feasibility. • Prototype and explore product ideas hands-on - using AI coding tools and your technical background to validate early and bring Engineering concrete starting points. • Craft well-structured product specs and acceptance criteria that give Engineering and Design the clarity to move quickly and iterate intentionally. • Define success metrics for every major initiative and drive post-launch iteration until the outcomes are there. • Be the voice of the customer in technical architecture discussions - pushing back hard when tradeoffs compromise the user experience. • Partner with Sales and Customer Success to shape positioning and influence deal cycles for your product area. • Make the hard calls on scope - you ship focused, well-executed products and know when to ship with conviction.

• Defines Product Vision and Roadmap • Owns and manages a backlog, prioritizing work based on customer needs, and ensures readiness for development • Guides cross-functional teams to deliver features and products • Manages scope changes and other non-standard events throughout the life of the project • Manages Product Data Risk and Security • Manages stakeholder communication and progress reporting at various levels of the organization including leadership and executives • Manages day-to-day execution of multiple interdependent projects by working directly with technical teams, provide clarification, story acceptance and refinement, testing and validation; contribute to design activities • Tracks project outcomes realization and customer satisfaction levels through established metrics against service level • Performs initial and final financial reviews, and ensure ongoing budget tracking • Demonstrates superior product and industry knowledge and helps organization to gain the competitive edge • Demonstrates expert persuasion and influencing skills that ensure alignment between customer, product manager and engineering teams • Represents the product to groups from the end consumer to the executive sponsors, maintaining ownership for product status, stack ranked product backlog based on features or user stories created, release planning, and multi-year, quarterly rolling wave roadmaps • Prioritizes continuously in accordance with the understanding and validation of customer problems and needs • Demonstrates strategic expert level skills in problem solving and ability to navigate through ambiguity • Directs and mentors others to use systems thinking to address problems and questions at scale

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description EagleView, the leader in aerial imagery and geospatial intelligence, is seeking a Sr. Technical Product Manager in Data & AI to define and scale the company’s Geospatial Content Platform. This role is accountable for identifying, defining, and documenting platform requirements for ML-derived datasets, data taxonomy, and enterprise-scale distribution models. The Sr. TPM will shape how AI-generated data and insights are structured, versioned, governed, and distributed via APIs, MCP, Agents, and ecosystem integrations. This role will operate at the intersection of data engineering, machine learning, platform architecture, and go-to-market enablement to ensure scalable, secure, and monetizable AI-native capabilities. Responsibilities - Platform Strategy - Define roadmap and requirements for the Content Platform supporting ML-derived content. - Establish requirements for data taxonomy, schema governance, versioning, and lineage. - Translate AI research outputs into production-grade, enterprise-ready platform capabilities. - Data & AI Productionization - Own creation of PRDs and structured requirements for ML derived features and attributes, confidence scoring, and quality frameworks. - Partner with ML, Data Engineering, and Architecture teams to ensure NFRs such as performance and availability are well defined. - Enterprise Distribution & Ecosystem - Define content distribution requirements driving the evolution of our APIs, geospatial data pipelines, event-driven workflows, MCP integrations, and agent-based consumption models. - Ensure platform scalability, performance, security, and multi-tenant readiness. - Support platform capabilities that enable monetization models including Data-as-a-Service and API enablement. - Customer & Market Alignment - Engage go-to-market product managers and internal stakeholders to identify integration and AI workflow requirements. - Translate vertical use cases into reusable platform capabilities and POVs (proof-of-value). - Metrics & Governance - Define success metrics across adoption, quality, latency, and uptime. - Establish telemetry, observability, and SLAs for platform performance. - Cross-Functional Leadership - Lead backlog prioritization across platform initiatives. - Align research, engineering, and go-to-market stakeholders on scalable delivery. - Communicate roadmap, releases, and impact to leadership. Qualifications - 8+ years in Technical or Platform Product Management, preferably in data or AI platforms. - Strong understanding of: - ML lifecycle and productionization - Data engineering and distributed systems - API-first platform design - Data modeling and schema governance - Experience defining requirements for enterprise-scale data platforms and AI-integrated systems. - Familiarity with cloud platforms (AWS or equivalent). - Demonstrated ability to translate complex technical systems into structured, actionable requirements. - Strong analytical thinking, business acumen, and executive-level communication skills. Preferred - Background in geospatial data, imagery, or 3D modeling. - Experience with SQL/NoSQL systems, vector databases, feature stores, RAG architectures, and agent frameworks. - Experience with MCP or AI protocol integrations. - Experience building data monetization platforms (DaaS, APIs, subscription models). - Familiarity with ontology design and cross-domain data normalization. - Experience supporting enterprise customers at scale. Benefits - All Fulltime (30+ hours) employees are eligible for: - PTO, Sick, and Parental Leave - Medical, Dental, and Vision Insurance - 401(k) Plan - Health Savings Account - Life Insurance - Employee Assistance Program - Pet Insurance - This is a full-time, remote role, with a salary range of $110,000 - $157,600, bonus eligible. EEO Statement This job description is not an exclusive or exhaustive list of all job functions that a workforce member in this position may be asked to perform. Duties and responsibilities can be changed, expanded, reduced, or delegated by management to meet the business needs of the company. As an Equal Opportunity and E-Verify Employer, Eagleview Technologies does not discriminate on the basis of any legally protected status or characteristic. Protected veterans and individuals with disabilities are encouraged to apply. We are committed to giving all applicants equal opportunity to participate in the application process and are open to discussing reasonable accommodations for candidates with disabilities.

• Leverage AI to transform the way engineers deliver software. • Work closely with our Platform Engineering team to deliver the technologies that our Software Engineering teams rely heavily on to deploy and manage our product. • Evaluate the impact and opportunities of new technologies as they relate to customer needs and clients’ broader product ecosystem. • Support investment and development planning by preparing ROI analyses and partnering with Engineering and IT to establish estimates and timelines. • Maintain industry expertise by engaging in professional development, attending workshops, reviewing publications, and participating in relevant networks. • Build strong cross-functional relationships to ensure alignment and successful product delivery. • Translate complex internal requirements into clear, actionable product concepts and solutions. • Communicate effectively with stakeholders at all levels, including senior leadership.