Jyoti Sajwan

Product Manager with 4 years of experience, specialising in AI-native SaaS products. Shipped LLM-powered features across search, personalisation, and content generation – reducing query failure by 98%, improving AI accuracy by 85%, and cutting manual workflows by 80%. Thrives at the intersection of product, data, and engineering in fast-moving, 0-to-1 environments.

Associate Product Manager at Prezent.AI (2026-01 – Present)

• Led the development of Lightning Studio, transforming a 3–4 day manual template conversion process requiring 3–4 designers into a single-click automated workflow for enterprise customers.
• Led the revamp of Global & Hybrid Search, introducing intent-based retrieval, AI-powered summaries, dynamic filters, and personalized search experiences.
• Designed and launched brand-aware search personalization for Freepik, delivering company- and team-specific image recommendations while ensuring brand compliance.
• Defined requirements for AI-driven crop-aware metadata, automatically updating image tags based on user edits to improve search relevance and content reuse.
• Defined a hybrid metadata strategy combining manual, programmable, and AI-generated tags, reducing AI inference costs through selective LLM usage while improving enterprise content discoverability.
• Conducted research on enterprise presentation best practices and transformed those insights into AI prompt frameworks, iteratively improving presentation quality across diverse business use cases.
• Trained contextual AI to adapt tone and visuals by industry, improving accuracy by 85% and cutting turnaround time by 60%.

Product Specialist |L1 at Prezent.AI (2024-12 – 2026-01)

• Launched two LLM-powered search guidance features (Astrid Suggestions + Try Searching For) independently -- from idea to production -- reaching 2,000+ unique users in month one with zero paid acquisition.
• Owned search across 20M+ slides and 1,500+ brand templates, delivering intent-based retrieval that understands slide design, context, presentation flow, and user intent.
• Automated weekly search-query analysis using Python and Jupyter Notebook, replacing manual Excel workflows, reducing processing time from 2–3 hours to under 30 minutes.
• Evaluated multiple AI models (BLIP, Gemini, GPT-4V) for image and slide captioning across accuracy, cost, and speed recommended and implemented Gemini, cutting captioning costs by ~97% and reducing template re-indexing time by ~58%.
• Built an internal tool to automate content-to-slide workflows, cutting manual effort by 80% and enabling scalable presentation delivery.
• Owned delivery of 1L+ AI-generated slides across 4 industries, driving scalable, industry-tailored demo workflows for sales and customer success teams.

Product Manager at Proveway (2024-03 – 2024-07)

• Owned the end-to-end development and launch of Pumper, collaborating directly with the CEO to define product strategy, prioritize the roadmap, and drive execution from ideation to release.
• Led the development and successful launch of a Build for Shopify certified app, improving merchant onboarding and increasing merchant sign-ups by 20%.
• Scaled adoption to 4,000+ merchants through continuous feature enhancements, merchant feedback, and product improvements.
• Leveraged Mixpanel to analyze merchant onboarding funnels, identifying key drop-off points in the signup flow and driving product changes that reduced drop-off by 30%.
• Translated merchant feedback into product requirements, prioritizing high-impact features to improve adoption and retention.
• Designed and launched the company's first freemium-to-paid pricing model, establishing a recurring revenue stream and improving user monetization.

Associate Product Manager at TartanHQ Private Solutions (2023-04 – 2023-12)

• Product Owner of HRMS Sync – Unified HRMS/Payroll API integrating 20 payroll systems and securing an 80% reduction in time spent on manual payroll operations.
• Targeted and engaged target audiences to generate leads, driving a 20% increase in lead generation.
• Effectively managed vendor relationships to ensure the seamless operation of our product.
• Partnered with Sales and Marketing on GTM initiatives, contributing to a 20% increase in qualified leads.
• Successfully onboarded Jupiter Money, Qube Health, and Jelly Bean as our first clients for HRMS sync.
• Conducted customer interviews to understand payroll integration challenges and prioritize product requirements.
• Led user acceptance testing for new integrations, ensuring production readiness and reducing post-release issues.
• Created API documentation and standardized integration guides, streamlining implementation for customers and engineering teams.

Product Analyst at TartanHQ Private Solutions (2022-02 – 2023-03)

• Conducted research on HRMS /Payroll APIs to support the successful launch of HRMS-sync.
• Integrated support for diverse HRMS workflows, including 2FA, SSO, OTP, and related features to ensure seamless product integration.
• Automated payroll data extraction by training and optimizing the Nanonets OCR model to accurately parse payslips, reducing manual processing effort by 80%.
• Expanded platform compatibility by integrating 15 additional HRMS/payroll systems, increasing addressable employer base by 40%.

Diploma in HR – Tata Institute of Social Sciences (2020)

Bachelor in Commerce – Post Graduate Govt College (2018)