Headline

Product Manager – Agentic AI Systems | Conversational Analytics at Enterprise Scale | Paytm

About

I am a Product Manager in Paytm’s Central Data & AI organization, building AI platform products that make large-scale data usable in real business contexts. I currently lead the development of an agentic Conversational Analytics platform that enables non-technical teams to query petabyte-scale datasets using natural language. The product is used across multiple business verticals and is designed for production constraints—accuracy, latency, cost, and reliability—not demos. My work focuses on applied AI systems: defining agentic architectures, retrieval and execution workflows, evaluation strategies, and onboarding frameworks that allow AI products to scale without heavy human-in-the-loop dependencies. I have owned 0→1 product builds, platform trade-offs, and cross-functional execution across data science, platform engineering, and business teams. Before product management, I worked hands-on across the data stack—analytics, OLAP design, BI tooling, and large-scale pipelines. That background helps me bridge model behavior, system constraints, and user workflows when shipping AI products in production environments. I am most interested in AI platform and applied AI PM roles—agentic systems, analytics platforms, and tooling that turn complex systems into reliable, accessible products at scale.

Location

Bengaluru

AI stack

claude code

claude

cursor

langgraph

lovable

DSPy

Work experience

Product Manager at Paytm, Apr 2025 - Present · 1 yr 5 mos, Bengaluru, Karnataka, India, • Led the 0→1 build of an agentic Conversational Analytics platform, enabling non-technical users across 10+ business verticals to query petabyte-scale data using natural language. • Defined the agentic system architecture (intent understanding, retrieval orchestration, memory, and tooling), balancing accuracy, latency, cost, and reliability in production. • Shipped a plug-and-play AI onboarding framework that reduced business onboarding from weeks to <3 days, achieving ~80% zero-shot retrieval accuracy without manual tuning. • Owned AI evaluation and quality strategy, identifying retrieval and grounding failure modes and driving iterative improvements in real-world usage. • Partnered with data science, platform engineering, and business teams to align AI capabilities with decision-making workflows, influencing Paytm’s shift toward AI-first analytics.

Assistant Manager - Central Data Product at Paytm, Jul 2024 - Apr 2025 · 10 mos, Bangalore Urban, Karnataka, India, • Collaborated with stakeholders and tech teams to develop robust data pipelines tailored for business analytics and growth. • Engineered scalable data pipelines capable of handling petabytes of data, ensuring efficient data management. • Designed OLAPs to support multiple business verticals within Paytm, enhancing data accessibility for various teams.

Junior Manager - Data Analytics at Paytm, Feb 2022 - Jul 2024 · 2 yrs 6 mos, Bangalore Urban, Karnataka, India, I am part of a team which is responsible to handle all the data requirements from various stakeholders of Business, User Profile, Risk, Authentication and Central Data Product team. - Understand/hypothesize on the performance of a metric and prove the same with data analysis and suggest actions to the concerned stakeholders - I create dashboards to track the performance of business through meaningful metrics to be consumed by various teams such as OAuth and Risk teams including CEO's office. - I do take responsibility of automating manual excel reports with the help of existing inhouse tools and Google Data Studio. - Understand the limitations of the existing tools/methods and suggest improvements/alternatives with - active exploration.

Senior Data Analyst at Subex, Oct 2020 - Feb 2022 · 1 yr 5 mos, Bengaluru, Karnataka, India, I was fortunate enough to carryout multiple roles and be part of multiple projects. The summary of my work experience at SUBEX is as follows: - Experience in deriving action-driven insights from data, with excellent exposure to data collection, cleaning, manipulation, and data analysis. - Exposure to diversified working environments with multiple customers engagements. - Demonstrated sense of ownership and proactiveness by leading three different projects. - Recognized and appreciated multiple times with a rolling trophy in the last 2 years for innovative approaches in solving an analytical problem and successful engagement with clients. - Founder and an active participant of a knowledge sharing and skill exchange group within the team. - Active participation in mentoring and ramping up new recruits to the team.

Data Analyst at Subex, Jul 2019 - Oct 2020 · 1 yr 4 mos, Bengaluru, India, Data Science | Research

Completed Internship In System modelling and Analysis using Bond Graph method at Indian Institute of Space Science and Technology, May 2018 - Aug 2018 · 4 mos, Thiruvunanthapuram, India, Based on the unifying concept of energy system modelling and analysis is done. Since based on energy, systems involving multi-domains can be modeled with a greater ease and system analysis can be carried out without deriving the system equations.

Education

Bachelor of Technology, Electrical, Electronics and Communications Engineering, Indian Institute of Space Science and Technology

Intermediate (12th), narayana junior college

Public links

github: https://github.com/KakumanuSaiRam