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 6-10x
- Extract actionable insights from unstructured information
- Scale 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 innovationCreate a data-driven product roadmap that balances technical feasibility with market demandsOwn Technical Product Development :
Translate business requirements into detailed technical specifications for the engineering teamCreate comprehensive PRDs with explicit acceptance criteria and edge casesConduct technical feasibility assessments and work with architects to design scalable solutionsLead sprint planning sessions and daily standups, making real-time prioritization decisionsEstablish clear technical success metrics for each feature releaseConduct User Research & Testing :
Design A / B tests to validate technical hypotheses before full deploymentImplement instrumentation to capture granular usage metrics for feature optimizationConduct technical user interviews to understand pain points in the document processing workflowCreate data visualization dashboards to monitor system performance and user adoptionBuild & Lead a Team :
Hire and mentor junior product managers with technical backgroundsEstablish best practices for technical product management within the organizationCreate frameworks for technical requirement gathering and prioritizationDevelop a product team OKR system aligned with engineering Requirements :Bachelor's degree in Computer Science, Engineering, or related technical field5+ years of product management experience with demonstrable technical backgroundStrong understanding of LLMs, their capabilities, limitations, and implementation strategiesExperience with document processing technologies, OCR, or NLP solutionsProficiency in SQL for data analysis and product metrics trackingUnderstanding of machine learning concepts and model evaluation metricsExperience 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 areasProactively identify and address technical debtMake data-backed decisions and stand behind your technical choicesEmbrace Technical Challenges :
Approach complex problems as opportunities for innovationStay current with emerging technologies in document processing and AIContinuously experiment with new approaches to improve extraction accuracyMaster Technical Details :
Write precise, unambiguous technical specificationsUnderstand the technical implications of product decisionsReview code and provide meaningful feedback to engineering teamsBalance Collaboration and Independence :
Seek input from technical stakeholders while maintaining decision velocityKnow when to make independent technical calls vs.Drive Purposeful Innovation :
Focus on technical solutions that deliver measurable business impactPrioritize innovations that improve document processing accuracy and speedBuild features that solve real customer problems, not just technical exercisesFoster Technical Respect :
Acknowledge engineering constraints and work within themProvide constructive technical feedback that helps the team improveRecognize and celebrate technical achievements across teams(ref : hirist.tech)