Sathiya Prakash

Product Manager

Bengaluru, Karnataka, India5 yrs 11 mos experience

Highly Stable

Key Highlights

3+ years of experience in B2B and B2C product management.
Proven track record in problem solving and data-driven decision making.
Strong technical background with expertise in emerging technologies.

Stackforce AI infers this person is a Product Manager with a strong focus on B2B and Fintech solutions.

Contact

Skills

Core Skills

Product ManagementProduct Life CycleProblem SolvingData Analysis

Other Skills

User Pricing StabilityCheckout and PaymentsApplication Programming Interfaces (API)Python3Google AutoMLScikit librariesPython (Programming Language)Growth StrategiesProduct AnalyticsDesign ThinkingProduct DesignProduct Road MappingSoftware as a Service (SaaS)Product RequirementsFlow Diagrams

About

Product manager with solid tech background and 3+ years of building B2B (mostly) and B2C products. Interested in problem solving, numbers and emerging tech.

Experience

5 yrs 11 mos

Total Experience

2 yrs 4 mos

Average Tenure

1 yr 3 mos

Current Experience

Meesho

Product Manager

Feb 2025 – Present · 1 yr 3 mos · Bengaluru · On-site

Oct’25 to Present:
User Pricing Stability
Feb’25 to Oct’25:
Checkout and Payments

Product ManagementProduct Life CycleUser Pricing StabilityCheckout and Payments

Redbus

Associate Product Manager

Nov 2021 – Feb 2025 · 3 yrs 3 mos · Bengaluru · Hybrid

Bus operator facing product - B2B
Started out as a Product analyst, promoted to APM

Product ManagementProduct Life Cycle

Ey

Software Engineer

Jan 2020 – Jun 2021 · 1 yr 5 mos · Chennai, Tamil Nadu, India

Worked on the Digital and Emerging Technologies team.
Built web apps using Angular 4 & Magento
One among the Top-3 overall open-source Magento Contributors (across the globe) during the time period.

Problem SolvingApplication Programming Interfaces (API)

73 strings

Data Science Intern

Sep 2019 – Dec 2019 · 3 mos · Bengaluru Area, India

73 Strings is an innovative fin-tech startup that is building solutions for venture capitals to make capital more efficient. We are developing an AI-powered product that will gather insights from unstructured texts and data sources.
Involved in the processes from data collection, pre-processing, data model building to feeding models in order to derive meaningful insights that could help investors make data-driven and informed decisions.
Technologies Used: Python3, Jupyter Notebook, Google AutoML, Scikit libraries, Postman and Selenium.
(Undergrad internship - 7th semester)

Application Programming Interfaces (API)