Docsumo is your go-to Document AI solution that transforms complex documents into actionable data.

Our technology powers smarter, faster business decisions and is backed by investors including Sequoia, Barclays, Fifth Wall, Common Ocean, and Techstars.

We enable businesses to:Increase operational efficiency by 6-10xExtract actionable insights from unstructured informationScale operations seamlessly through our AI-powered platform.

Key Responsibilities:

- Drive Product Strategy & Roadmap: Analyze market trends, competitor capabilities, and customer feedback to identify opportunities for technical innovation Create a data-driven product roadmap that balances technical feasibility with market demands.

- Own Technical Product Development: Translate business requirements into detailed technical specifications for the engineering team Create comprehensive PRDs with explicit acceptance criteria and edge cases Conduct technical feasibility assessments and work with architects to design scalable solutions Lead sprint planning sessions and daily standups, making real-time prioritization decisions Establish clear technical success metrics for each feature release.

- Conduct User Research & Testing: Design A/B tests to validate technical hypotheses before full deployment Implement instrumentation to capture granular usage metrics for feature optimization Conduct technical user interviews to understand pain points in the document processing workflow Create data visualization dashboards to monitor system performance and user adoption.

- Build & Lead a Team: Hire and mentor junior product managers with technical backgrounds Establish best practices for technical product management within the organization Create frameworks for technical requirement gathering and prioritization Develop a product team OKR system aligned with engineering capabilities.

Technical Requirements:

- Bachelor's degree in Computer Science, Engineering, or related technical field.

- 5+ years of product management experience with demonstrable technical background.

- Strong understanding of LLMs, their capabilities, limitations, and implementation strategies.

- Experience with document processing technologies, OCR, or NLP solutions.

- Proficiency in SQL for data analysis and product metrics tracking.

- Understanding of machine learning concepts and model evaluation metrics.

- Experience with product analytics tools (Amplitude, Mixpanel, etc.

- Familiarity with API design principles and RESTful architectureKnowledge of agile methodologies and project management tools (Jira, Asana).

Our Engineering Culture:

- Take Technical Ownership- Be accountable for the technical success of your product areas Proactively identify and address technical debt Make data-backed decisions and stand behind your technical choices.

- Embrace Technical Challenges- Approach complex problems as opportunities for innovation Stay current with emerging technologies in document processing and AI Continuously experiment with new approaches to improve extraction accuracy.

- Master Technical Details- Write precise, unambiguous technical specifications Understand the technical implications of product decisions Review code and provide meaningful feedback to engineering teams.

- Balance Collaboration and Independence- Seek input from technical stakeholders while maintaining decision velocity Know when to make independent technical calls vs.

- Drive Purposeful Innovation- Focus on technical solutions that deliver measurable business impact Prioritize innovations that improve document processing accuracy and speed Build features that solve real customer problems, not just technical exercises.

- Foster Technical Respect- Acknowledge engineering constraints and work within them Provide constructive technical feedback that helps the team improve Recognize and celebrate technical achievements across teams.