A
Array Labs
Technical Product Manager (3D Geospatial Products)
Skills
SQL QueriesPythonProduct ManagementData AnalysisMachine LearningAIBusiness DevelopmentProduct Manager
2 months ago
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Important information
Contract type:
Permanent
Salary:
$150,000 – $250,000 / year
Location:
Washington, DC, USA
Work mode:
Onsite
Published on:
25 August 2026
What they need
- Array is looking for a product leader to define and deliver the next generation of 3D geospatial data products
- As Product Manager, 3D Geospatial Products, you will own the product vision and roadmap for turning optical and radar satellite imagery into market-ready 3D products
- You will determine what we build, what performance levels matter, how customers evaluate quality, and how we prioritize across collection strategy, reconstruction algorithms, data processing pipelines, APIs, data formats, visualization, and analytics
- Array’s 3D products will be built from multiple forms of imagery and collection geometry, including stereo collections, multi-pass imagery, radar imagery, optical imagery, and fused optical/radar data
- You will work at the intersection of customer need, technical feasibility, data production, and software delivery, helping Array translate a fundamentally new sensing capability into repeatable products customers can understand, buy, evaluate, and use
- You will work closely with software engineering, algorithms, mission operations, program management, business development, and the executive team to ensure Array builds the right products, sequences them intelligently, and delivers them with the quality, reliability, and usability required for commercial and government adoption
- Own the roadmap for Array’s 3D geospatial data products, including products derived from optical imagery, radar imagery, stereo collections, multi-view collections, and optical/radar fusion
- Define product requirements for 3D data products, including resolution, accuracy, coverage, latency, update rate, metadata, validation approach, delivery format, and customer-facing evaluation criteria
- Translate customer needs into clear product specifications, roadmap priorities, technical tradeoffs, and product decisions
- Partner with algorithms and software engineering teams to prioritize reconstruction methods, processing pipelines, quality-control systems, and data delivery capabilities
- Work with go-to-market, business development, and program teams to support customer discovery, product demonstrations, data evaluations, proposals, early deployments, and feedback loops
- Define and track product metrics tied to customer adoption, delivery performance, data quality, product reliability, and business outcomes
- Write and maintain product requirements, roadmap documents, customer-facing product definitions, evaluation plans, and internal decision memos- Bachelor’s degree in computer science, engineering, geospatial science, or equivalent experience
- Ability to travel as needed
- Strong written and verbal communication skills
- Experience working with technical, data-heavy, geospatial, imagery, or software products
- 5+ years of experience in product management, technical product management, solutions engineering, or related roles
- Strong cross-functional communication skills across engineering, business, and operations teams
- Ability to translate customer needs into clear product requirements
- Experience with photogrammetry, stereo imagery, multi-view reconstruction, LiDAR, point clouds, meshes, DEMs, DSMs, or other 3D geospatial data products
- Experience with satellite imagery, aerial imagery, radar, SAR, Earth observation, or other remote sensing systems
- Experience launching a net-new imagery, mapping, analytics, data platform, or geospatial product
- Experience with data-centric products, including APIs, data pipelines, cloud processing systems, visualization platforms, geospatial file formats, and customer data delivery workflows
- Proficiency with Python, SQL, GIS tools, or other tools commonly used in data-heavy or imagery-based workflows
- Prior experience working with the Department of War, Intelligence Community, civil government, or national security customers
- Experience working with commercial enterprises using geospatial data in markets such as infrastructure, utilities, mining, insurance, mapping, telecommunications, agriculture, or energy
- Familiarity with AI, automation, or machine learning applied to geospatial, imagery, or physical-world data workflows
- Experience working in a startup or fast-moving technical organization where product definition, customer discovery, and engineering execution happen in parallel- We will conduct interviews via Google Meet with the potential for an onsite visit; the typical process takes around 3-5 weeks to complete from start to finish
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