Pranjal Bajpai

Product Manager

Bengaluru, Karnataka, India7 yrs 2 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Proven success in integrating AI into enterprise platforms.
  • Led cross-functional teams to deliver impactful B2B products.
  • Increased client base and revenue through innovative solutions.
Stackforce AI infers this person is a SaaS Product Manager with expertise in AI-driven solutions.

Contact

Skills

Core Skills

Product ManagementArtificial Intelligence (ai)

Other Skills

AI & ML AutomationAgentic AIAgile Product MaangementAgile Product ManagementChessCompetitor Analysis and ResearchCricketData AnalyticsData StructuresGenerative AIGo-to-Market StrategyLarge Language Models (LLM)Market AnalysisMicrosoft ExcelMicrosoft Office

About

Product Manager with 4 years of experience building B2B products in a SaaS environment and delivering high-impact B2C solutions, with end-to-end ownership from concept to launch. Proven success in integrating AI/LLMs into enterprise platforms to drive product engagement, customer acquisition, and retention. Passionate about leveraging AI to solve real-world problems.

Experience

Target

Product Manager

Aug 2025Present · 7 mos · Bengaluru, Karnataka, India · Hybrid

Leena ai

Product Manager

Jul 2022Apr 2025 · 2 yrs 9 mos · Bengaluru, Karnataka, India · Remote

  • Led the product strategy, roadmap, and delivery of Leena AI's flagship products Engage and Knowledge Management, providing real time actionable insights on survey feedbacks and automating enterprise knowledge to reduce human
  • intervention by upto 70%
  • AI-Driven Insights & Recommendations: Led LLM to generate sentiment-based insights and suggestive action plans from survey responses in order to automate the feedback analysis for HR agents and admins. This feature contributed to a 10% increase in client base and revenue expansion from existing clients
  • LLM based Smart Survey Follow-Ups: Used GPT-based real-time question generation to deepen employee issue understanding. This increased survey adoption by 22%, enabling support for more survey types
  • Introduced Role Based Access Control & Auto Action Assignment features to improve relevance and secure sharing of survey insights, which helped retain 6 major clients, close deals with large enterprises, and increased dashboard adoption by over 30%
  • Led development of Generative AI features leveraging large language models (LLMs) including automated testing leveraging LLM which reduced human QA intervention by 50%
  • Worked on development of 7+ OOTB connectors for knowledge bases such as SharePoint, Confluence, Google Drive, and ServiceNow
  • Spearheaded efforts to align products with W3C's WCAG guidelines and ensure all products were GDPR compliant
  • Effectively led a cross-functional team of 9 members, including backend and frontend developers, designers, and QA professionals.
Artificial Intelligence (AI)Natural Language Processing (NLP)Product ManagementGenerative AILarge Language Models (LLM)Agentic AI+8

Self-employed

Professional Cricketer

Aug 2021May 2022 · 9 mos

  • Played professional cricket for Indore Colts Cricket Club at Indore, the most competitive division of Madhya Pradesh

Predict22 sports analytics

2 roles

Product Analyst

Aug 2020Jul 2021 · 11 mos · Bangalore

  • Developed and enhanced features in the product to increase user engagement
  • Increased user subscriptions on the product by building a Team Comparison Radar that allows the user to compare upto 8 teams on 5 major factors and their sub-factors by assigning relevant weights
  • Managed cleaning of database containing ball by ball data for over 500 matches using SQL, to remove any entries that do not satisfy targeted constraints for a cricket match
  • Designed improvements in player availability feature by adding a recovery bar to give the users a better understanding on the availability condition of the player
  • Conceptualized and Executed data driven user updates for the match page showing Partnerships, Match Highlights and Match Report
  • Improved ML model inputs to enhance fantasy team suggestions for our customers, achieving a top-0.0015% rank (227 out of 1.5 crore) in the targeted fantasy sport app
  • Performed team analysis for all 8 IPL teams in IPL 2020 on 6 parameters such as data of phase-wise breakdown, innings impact, venue analysis etc
SQLPythonArtificial Intelligence (AI)Product ManagementAI & ML AutomationGo-to-Market Strategy

Analyst Intern

Jul 2019Aug 2019 · 1 mo · Bengaluru Area, India

  • Enhanced the AI model for creating a fantasy cricket team
  • Optimized inputs that should be given to an artificial intelligence model in order to obtain the best possible team for a cricket fantasy league
SQLPython

Analyticscosm

Data Analyst

Jun 2019Jul 2019 · 1 mo

Cricket, iit roorkee

Secretary

Apr 2019Jun 2020 · 1 yr 2 mos · Roorkee

  • Responsible for major team decisions, planning and executing various strategies and team selection.

Cricket,iit roorkee

Joint Secretary

Apr 2018Apr 2019 · 1 yr · Roorkee

  • Responsible for taking major decisions like team building, managing practice schedules, preparing strategies and ensuring the quality of facilities for the team on and off the field.

Sangram, iit roorkee

Coordinator

Feb 2018Apr 2018 · 2 mos · Roorkee

  • Sangram, the annual sports festival of IIT Roorkee is a 3 day sports extravaganza providing a platform for brilliant minds across the country to showcase their sporting talents.
  • Undertook a new initiative, to invite alumni teams for the festival in order to strengthen the student-alumni bond.

Education

Indian Institute of Technology, Roorkee

Bachelor of Technology - BTech — Metallurgical and Materials Science Engineering

Jan 2016Jan 2020

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