Note: The job is a remote job and is open to candidates in USA. Skysoft Inc. is seeking a Senior Product Manager for their Document Intelligence Platform. The role requires strong product management experience in software or financial services, focusing on AI-driven document processing and collaboration across various functions.
Responsibilities
- Strong product experience with AI-driven document ingestion/extraction platforms (document classification, data extraction, ingestion into downstream systems)
- AI fluency: Routinely uses LLM/ML tools in production or daily workflows; understands limitations, validation, and how to integrate AI agents into user flows
- Fast-paced delivery orientation; able to iterate weekly and produce tangible product increments rapidly
- Experience working with engineers and designers on product development (user stories, backlog grooming, sprint cadence)
- Familiarity with Cursor, ChatGPT, Claude, or similar AI tools; comfortable describing how AI is used in each phase of the product process
- Experience with Jira (or equivalent) and the ability to work with engineering APIs and data pipelines
Skills
- Bachelor's degree or equivalent work experience
- 5–7 years of product management experience in software, fintech, tax, or financial services with proven success
- Strong problem-solving, organizational, and analytical skills with ability to evolve strategy based on research and data
- Excellent written and verbal communication skills with ability to influence at all levels of the organization
- Demonstrated ability to collaborate across technical, business, and compliance functions
- Experience with agile methodologies and design thinking practices
- Resourceful, high-energy, and adaptable with the ability to thrive in a fast-paced environment
- Strong attention to detail, accuracy, and execution
- Passion for innovation in tax, financial services, and document processing
- Strong product experience with AI-driven document ingestion/extraction platforms (document classification, data extraction, ingestion into downstream systems)
- AI fluency: Routinely uses LLM/ML tools in production or daily workflows; understands limitations, validation, and how to integrate AI agents into user flows
- Fast-paced delivery orientation; able to iterate weekly and produce tangible product increments rapidly
- Experience working with engineers and designers on product development (user stories, backlog grooming, sprint cadence)
- Familiarity with Cursor, ChatGPT, Claude, or similar AI tools; comfortable describing how AI is used in each phase of the product process
- Experience with Jira (or equivalent) and the ability to work with engineering APIs and data pipelines
Company Overview