Product
- Workflow Solutions
- Product Manager at LightBox Employer Product
- Workflow Solutions
- Product Manager at LightBox Employer in Shelton, Connecticut Posted in 13 days ago.
Type:
Full-Time Job Description:
Position Overview LightBox is seeking a Product Manager lead the development and commercialization of our AI-driven document intelligence product line, serving the needs of investors, brokers, lenders, and other commercial real estate participants. This individual will have full end-to-end ownership, from ideation and requirements definition through the go-to-market execution, for products that leverage artificial intelligence transform unstructured real estate documents in structured, actionable data. The ideal candidate combines proven product execution and technical fluency, with domain knowledge of commercial real estate documents and an understanding of common workflows in CRE acquisition, financing, and management. What you will do and achieve Lead Product Strategy & Vision Develop and articulate the vision for LightBox's AI document intelligence platform, aligning it with company strategy and customer needs. Identify high-impact opportunities across the real estate document ecosystem, including appraisals, rent rolls, operating statements, Phase I ESAs, offering memorandums, and other key sources. Define success metrics and prioritize development initiatives to maximize business value and customer adoption. Product Development & Delivery Own the product roadmap, requirements, and lifecycle for document intelligence and the AI extraction and delivery platform. Collaborate closely with engineering, data science, and UX teams to design scalable systems that extract, normalize, and deliver high-quality data from complex document types at scale. Define product requirements for data access interfaces, including: Browser-based user experiences for document upload, review, and data visualization. Microsoft Office Add-ins (Excel, Word) to embed data extraction and structured data integration directly within user workflows. Developer APIs that enable partners and clients to programmatically access, query, and integrate extracted data into their own systems. Partner with QA and DevOps teams to ensure product reliability, scalability, and security compliance across all delivery channels. Work with legal, executives, and clients to gain rights to use extracted data for derivative products Customer & Market Understanding Engage deeply with customers and industry stakeholders to identify pain points and design data access experiences that enhance productivity and decision-making. Maintain a strong understanding of document types and workflows in commercial real estate, including appraisals, rent rolls, operating statements, environmental reports, offering memorandums, etc. Continuously monitor market trends and competitor offerings in document AI, workflow automation, and API-based data products. Go-to-Market & Adoption Develop launch strategies, product messaging, and positioning for both extraction and data delivery capabilities. Collaborate with marketing and sales teams to drive adoption across client personas — from analysts and appraisers to developers and enterprise partners. Partner with customer success teams to ensure smooth onboarding, data integration, and ongoing user engagement across all access channels. Measure and optimize user experience and extraction accuracy to continuously improve product performance and adoption. Who you are Education 2+ years of experience in product management or related technical leadership roles. Experience Deep familiarity with commercial real estate document types and workflows. Strong understanding of data delivery mechanisms, including web applications, Office integrations, and APIs. Proven success leading AI, machine learning, or document automation products from concept through launch. Excellent communication and cross-functional collaboration skills, with the ability to align stakeholders across technical and business functions. Foundational understanding of AI/ML, OCR, NLP, and structured data pipeline development, and a strong willingness to learn.
