Souvik Ghosh
Senior Manager @ CK Birla Group • IIM Calcutta MBA
📄 Download CV (PDF) 📥
SENIOR MANAGER @ CK BIRLA GROUP • IIM CALCUTTA MBA

Building AI-Powered Products That Solve Complex Business Problems.

IIM Calcutta MBA with a Computer Science Engineering background. Senior Manager at CK Birla Group and former Cognizant Tech Lead — architecting AI products, enterprise SaaS platforms, and high-impact digital transformation initiatives.

✨ Product Strategy 🤖 AI Products 🏢 Enterprise SaaS 💳 FinTech 🔄 B2B Platforms 🚀 Digital Transformation
View Case Studies → Download Resume 📥
₹18.75L+
Business Savings
85%
Process Improvement
4
Flagship PM Projects
120+
User Stories Delivered
3+
Years Experience
Souvik Ghosh Headshot

Souvik Ghosh

Product @ CK Birla Group

Open to PM Opportunities
  • 🎓
    MBA — IIM Calcutta
  • 💻
    Ex-Cognizant Software Engineer
  • 🤖
    AI Product & Enterprise SaaS
  • 📍
    Kolkata, India
  • ✈️
    Open to Relocate across India
WHY RECRUITERS INTERVIEW ME

What I Bring as a Product Manager

Bridging technical engineering depth, IIM Calcutta business strategy, and enterprise execution to build world-class products.

💻
Tech Depth

Technical Foundation

Computer Science Engineering background with 20 months as Cognizant Tech Lead. Proficient in Java, Spring Boot, AWS, SQL, and System Design — collaborating deeply with engineering teams.

B.Tech CSE 20m Software Eng Java / Spring AWS & SQL
📈
Business Strategy

Business Thinking

IIM Calcutta MBA with rigorous training in Business Strategy, Financial Analysis (modeling ₹18.75L savings), Product Strategy, and Go-To-Market Execution.

IIM Calcutta MBA Financial Analysis Product Strategy GTM Execution
🏢
Enterprise Scale

Enterprise Product Experience

Senior Manager at CK Birla Group. Leading digital transformation, evaluating 20+ CRM platforms, and designing CRM-SAP API integrations handling ~₹8 Cr monthly transactions.

CK Birla Group Digital Transform CRM & SAP SaaS Cross-Functional
🤖
AI & Automation

AI Product Builder

Delivered Agentic AI & LLM solutions (OpenAI/AIsera) saving up to 50% process time. Engineered multimodal vision AI pipelines with confidence threshold guardrails.

LLMs & GenAI Agentic AI Prompt Eng AI Design
⚙️
Execution Rigor

How I Work

Structured 6-stage lifecycle: Problem Discovery → Deep Research → RICE Prioritization → PRD Specs → 95% On-Time Agile Execution → Metric Measurement & Iteration.

Discovery Research Prioritization Execution Metrics
🎯
Proven Artifacts

What Recruiters Can Expect

4 interactive PM case studies with full PRD specs, business cases, quantitative product metrics, runnable prototypes, and architectural decision matrices.

4 Case Studies PRDs Business Cases Prototypes
REPEATABLE PRODUCT MANAGEMENT FRAMEWORK

How I Build Products

A structured 6-phase framework guiding product thinking from initial problem discovery to continuous iteration and business outcome measurement.

STEP 01
🔍

1. Discover

Understand customer problems deeply before discussing any technical or design solutions. Focus on real user pain points.

Practical Example: Customer interviews, support ticket audits, and cross-functional stakeholder workshops.
STEP 02
📊

2. Research

Validate core assumptions using qualitative user insights paired with quantitative product telemetry and market analysis.

Practical Example: 1-on-1 user interviews, SQL funnel analytics, competitor benchmarking, and persona mapping.
STEP 03
⚖️

3. Prioritize

Balance business impact, customer value, engineering effort, and strategic alignment using structured prioritization scoring.

Framework Used: RICE scoring (Reach, Impact, Confidence, Effort) and MoSCoW MVP scope cutoffs.
STEP 04
🚀

4. Build MVP

Deliver the smallest functional solution that validates the core hypothesis quickly. Focus on velocity, learning, and usability.

Practical Example: Detailed PRDs, wireframe prototypes, sprint execution with 95% on-time delivery.
STEP 05
📈

5. Measure

Track North Star Metrics, feature adoption rates, business KPIs, and customer satisfaction post-launch.

Practical Example: Measuring SLA MTTR reduction, CSAT scores, D+7 retention, and net cost savings.
STEP 06
🔄

6. Iterate

Leverage user feedback loops and experiment results to continuously refine features and update the product roadmap.

Practical Example: A/B test experiments, post-launch retrospectives, and continuous backlog grooming.
💡
“My product decisions are driven by user problems, validated through data, and measured by business outcomes.”
Souvik Ghosh • Product Philosophy
Verified Official CV

Curriculum Vitae — Souvik Ghosh

Senior Manager at CK Birla Group • IIM Calcutta MBA • B.Tech CSE (Grade 8.3/10)

📥 Download Official CV PDF 👁️ View CV PDF in Browser

🏢 Current Role: Senior Manager

CK Birla Group (Sep'25 - Present)

Owned 2-year roadmap prioritizing 40+ initiatives across AI, CRM & enterprise transformation. Delivered financial model saving ₹18.75L on ₹3.75 Cr investment (payback < 6 months). Reduced workflow TAT for ₹8 Cr/mo transactions using CRM-SAP API.

💻 Prior Experience: Programmer Analyst

Cognizant (Sep'21 - May'23)

Managed backlog sprint execution for 8-member agile team (95% on-time delivery). Delivered 120+ user stories across 4 releases for enterprise insurance platforms. Boosted CSAT to 90% using SQL-driven analytics.

🎓 Academic Qualifications

IIM Calcutta MBA (2025) & B.Tech CSE (2021)

M.B.A / PGDM in Business Management from IIM Calcutta. B.Tech in Computer Science & Engineering from BP Poddar Institute of Management & Technology (Grade: 8.3 / 10).

Career Experience & Academic Background

Detailed breakdown of enterprise leadership, software engineering, and internships.

📄 Download Full CV (PDF) 📥

🏢 Professional Experience & Internships

CK Birla Group

Sep'25 - PRESENT

Senior Manager

  • Evaluating 20+ CRM platforms and developing business cases for enterprise-wide system selection & cost optimization.
  • Built financial models delivering ₹18.75L savings on a ₹3.75 Cr investment with payback in under 6 months.
  • Owned a 2-year roadmap prioritizing 40+ initiatives across AI, CRM, and enterprise transformation.
  • Designed CRM-SAP API integrations reducing turnaround time for workflows handling ~₹8 Cr monthly transactions.
  • Delivered AI automation & Agentic AI solutions (AIsera/OpenAI), reducing process time by up to 50% and improving resolution speed by 35%.

Cognizant

Sep'21 - May'23

Programmer Analyst

  • Managed backlog prioritization and sprint execution for an 8-member agile team (95% on-time delivery).
  • Defined and delivered 120+ user stories across 4 releases for enterprise insurance platforms.
  • Leveraged SQL-driven insights and performance analysis to improve customer CSAT to 90%.
  • Contributed to enterprise transformation initiatives generating $16M+ business impact.

Product & Research Internships

Cognizant & Wealth Bridge Capital

Translated stakeholder needs into functional PRDs for Audit Management Portal. Conducted market intelligence benchmarking improving investment decision accuracy by 15%.

🎓 Education & Skills

IIM Calcutta

2025

M.B.A / PGDM Business Management

Product Strategy, Operations Management & Business Analytics.

BP Poddar Institute (CSE)

2021 • Grade 8.3/10

B.Tech. Computer Science & Engineering

Data Structures, Algorithms, Software Systems Design, SQL Databases.

📱 Featured Projects

HandScan (0→1 App): Kotlin OCR app with 2.5s response time and 80% recognition accuracy.

US & Canada GTM Strategy: Formulated market entry for $4B baking industry (~15% share potential).

Product Case Studies & PRDs (4 Projects)

Deep dive into end-to-end product strategy, user research, PRD specs, wireframes, and metric impact across Adobe Firefly, Stanza Living, Orient Electric, and Snapmint.

Generative AI Global SaaS Localization ● Featured AI PM Project

Adobe Firefly Transcreate: Generative AI Content Localization & Typography Engine

Generative AI & Global Content Automation

✨ CREATIVE LOCALIZATION JOURNEY User Story: From English Master Art to 40+ Localized Campaigns
🎨
Creative Team
Campaign Kickoff
→
📤
Upload Master
English Creative Asset
→
🔍
AI Detects Region
Target Market Geo
→
🌐
AI Localizes
Nuanced Transcreate
→
📐
Typography Fit
Auto Font Bounding
→
🛡️
Brand Review
Governance Check
→
🚀
Published
48h Campaign Launch
Executive Summary: Architected Adobe Firefly Transcreate, a generative AI workflow automating cross-lingual creative ad localization, typography alignment, and cultural adaptation. Reduced ad localization TAT by 85% (14 days → 48 hours).
48 Hours
Global Campaign TAT (was 14d)
85%
Time Savings
98.2%
Brand Compliance Rate
My Role & Competencies:
⚡ Product Strategy ⚡ User Research ⚡ PRD Specs ⚡ Wireframes ⚡ Prioritization ⚡ Stakeholder Management ⚡ Launch ⚡ Analytics
🧠 Product Thinking & Strategy Breakdown
🎯
🎯 Problem Statement & User Pain
Target User Global Creative Directors, Localization Leads & Brand Governance Managers.
The Core Friction Manual creative ad resizing, translation, and cultural background tweaking across 40+ regional markets.
Frequency & Pain Point Frequency: Occurs during every quarterly product release across 25+ countries. High agency costs ($100K+ fees), 14-day delays.
Affected Business Metric Global Campaign Time-to-Market (14 days) and Agency Expenditure
👤
👤 User Research & Insights
Primary Personas Studied Elena Rostova (Creative Ops Director) & Kenji Sato (APAC Regional Manager).
User Pain Points 14-day delays for 40+ regional ad variants; broken typography font bounding boxes in CJK languages.
Key Behavioral Findings 78% of local campaign managers modify master English copy manually, violating brand guidelines.
Journey Bottleneck Identified Lack of automated font kerning, font scaling, and regional cultural background adaptation.
⚖️
⚖️ Product Strategy & Solution
Alternative Solutions Rejected Pure machine translation without Generative AI layout re-fitting.
Technical & Business Constraints Real-time rendering within Photoshop/Illustrator API latencies (< 3 seconds per asset).
Prioritization & MVP Cutoff Prioritized CJK & LATAM typography auto-fit engine over 3D background generation for MVP v1.0.
Risk Analysis & Guardrails Strict brand safety filters to prevent hallucinated copy in localized ad banners.
🚀
📈 Metrics & Business Impact
Chosen Product Solution Adobe Firefly Transcreate with LLM localization engine, smart bounding box auto-fit, and brand governance presets.
Why It Worked Automated 85% of manual resizing and typography layout work while preserving brand guidelines.
Quantified Business Metrics Reduced turnaround time from 14 days to 48 hours; 98.2% brand compliance rate.
Future Product Roadmap Real-time video campaign transcreation & automated voiceover dubbing.
Explore Complete Case Study →
AI Vision PropTech SLA Automation ● Featured PropTech Project

Stanza Living Care: AI Maintenance Triage & Automated Dispatch System

AI PropTech & Operations Automation

🛠️ RESIDENT MAINTENANCE JOURNEY User Story: Frictionless Complaint-to-Resolution Experience
👤
Resident
App Experience
→
📱
Reports Issue
Photo Ticket Entry
→
👁️
AI Categorization
Vision Triage Score
→
⚡
Priority Assign
SLA Timer Trigger
→
👷
Tech Dispatch
Geofenced Vendor
→
🔧
Issue Resolved
Work Verification
→
⭐
Resident Feedback
4.6/5 CSAT Score
Executive Summary: Designed an AI-powered photo triage and automated SLA routing engine for resident maintenance requests across 70,000+ beds. Improved SLA compliance from 62% to 94% and reduced mean-time-to-resolve (MTTR) by 58%.
94%
SLA Compliance (was 62%)
58%
MTTR Reduction
4.6/5
Resident CSAT Score
My Role & Competencies:
⚡ Product Strategy ⚡ User Research ⚡ PRD Specs ⚡ Wireframes ⚡ Prioritization ⚡ Stakeholder Management ⚡ Launch ⚡ Analytics
🧠 Product Thinking & Strategy Breakdown
🎯
🎯 Problem Statement & User Pain
Target User 70,000+ Co-Living Residents, Operations Leads & Maintenance Technicians.
The Core Friction Unstructured text complaint tickets leading to misclassified issues, delayed dispatch, and resident frustration.
Frequency & Pain Point Frequency: Daily maintenance tickets across 450+ properties. Long resolution cycles, 62% SLA compliance.
Affected Business Metric Mean Time to Resolve (MTTR) & Resident Churn / CSAT
👤
👤 User Research & Insights
Primary Personas Studied Rohan Mehta (Student Resident) & Vikram Singh (Cluster Operations Lead).
User Pain Points 38% of complaints logged as "Urgent" were minor; technicians dispatched with wrong tools.
Key Behavioral Findings Residents upload photos of broken amenities but struggle to describe technical issues in text.
Journey Bottleneck Identified Manual ticket triage by property staff created a 6-hour response delay before vendor dispatch.
⚖️
⚖️ Product Strategy & Solution
Alternative Solutions Rejected Call-center manual triage team (prohibitively expensive & non-scalable).
Technical & Business Constraints Low-bandwidth mobile connectivity for technicians on-site.
Prioritization & MVP Cutoff Built Vision AI photo categorization first before automated vendor billing integration.
Risk Analysis & Guardrails Fallback manual review queue for low-confidence AI vision classifications (< 75% score).
🚀
📈 Metrics & Business Impact
Chosen Product Solution Stanza Care Vision AI Triage Engine with automated severity scoring, SLA countdown timers, and geofenced vendor dispatch.
Why It Worked Transformed vague user photo uploads into structured work orders with 92% categorization accuracy.
Quantified Business Metrics SLA compliance improved from 62% to 94%; MTTR reduced by 58%; Resident CSAT increased to 4.6/5.
Future Product Roadmap Predictive maintenance IoT sensors for HVAC and water filtration systems.
Explore Complete Case Study →
Enterprise B2B SAP ERP Supply Chain ● Featured Enterprise Project

Orient Electric: Sales Return Note (SRN) Automation & SAP Reconciliation Engine

Enterprise CRM & Financial Ledger Integration

🏢 DEALER SALES RETURN JOURNEY User Story: 3-Day B2B Return & Credit Note Settlement
🏬
Dealer Reports Return
Defective Claim
→
📄
SRN Submitted
Portal Entry
→
📋
Field Verification
QR Inspection Scan
→
🔄
Approval Workflow
Automated Hierarchy
→
⚙️
SAP Reconciliation
Real-Time Ledger Sync
→
💳
Credit Note Gen
₹8 Cr Monthly Volume
→
💰
Dealer Settlement
3-Day Turnaround
Executive Summary: Conceptualized and specified an end-to-end B2B Sales Return Note (SRN) workflow and SAP ERP reconciliation engine. Reduced claim settlement turnaround time from 21 days to 3 days across ₹8 Cr monthly dealer returns.
3 Days
Claim Settlement TAT (was 21d)
₹8 Cr/mo
Automated Transaction Volume
99.4%
SAP Ledger Reconciliation
My Role & Competencies:
⚡ Product Strategy ⚡ User Research ⚡ PRD Specs ⚡ Wireframes ⚡ Prioritization ⚡ Stakeholder Management ⚡ Launch ⚡ Analytics
🧠 Product Thinking & Strategy Breakdown
🎯
🎯 Problem Statement & User Pain
Target User 5,000+ B2B Electrical Dealers, Field Audit Engineers & Corporate Finance Teams.
The Core Friction Manual paper-based Sales Return Note (SRN) processing causing 21-day credit note settlement delays.
Frequency & Pain Point Frequency: Monthly defective inventory return claims totaling ~₹8 Cr across India.
Affected Business Metric Claim Settlement Turnaround Time (21 days) & Dealer NPS
👤
👤 User Research & Insights
Primary Personas Studied Rajesh Agarwal (Regional Master Distributor) & Anita Sharma (Commercial Accounts Manager).
User Pain Points Dealers had working capital locked for 3+ weeks awaiting credit notes; lost physical serial tag receipts.
Key Behavioral Findings 64% of return delays stemmed from manual verification of serial numbers against SAP ERP invoices.
Journey Bottleneck Identified Disconnected dealer portal, field engineer mobile app, and SAP ERP financial ledger.
⚖️
⚖️ Product Strategy & Solution
Alternative Solutions Rejected Batch offline file uploads (failed real-time ledger verification).
Technical & Business Constraints Integration with legacy SAP ECC 6.0 system without disrupting core billing APIs.
Prioritization & MVP Cutoff Focused on QR barcode scan verification for field engineers over automated scrap valuation.
Risk Analysis & Guardrails Strict financial audit logs and multi-level approval thresholds for claims exceeding ₹5 Lakhs.
🚀
📈 Metrics & Business Impact
Chosen Product Solution B2B SRN Automation Portal with mobile QR audit verification and real-time SAP ERP API ledger bridge.
Why It Worked Automated invoice matching and defect validation, enabling instant credit note generation upon physical verification.
Quantified Business Metrics Claim settlement TAT reduced from 21 days to 3 days; 99.4% SAP ledger reconciliation accuracy.
Future Product Roadmap Automated warranty fraud detection using machine learning serial number anomaly models.
Explore Complete Case Study →
FinTech BNPL UPI AutoMandate ● Featured FinTech Project

Snapmint Pay & Credit: One-Click BNPL Checkout & Payment Gateway Cascade

FinTech Checkout & Risk Scoring Engine

💳 BNPL CUSTOMER JOURNEY User Story: Sub-30sec Credit Approval & Frictionless Checkout
🛒
Customer Shopping
E-Commerce Cart
→
💳
Select EMI
Snapmint BNPL Option
→
⚡
Eligibility Check
Real-Time Score
→
🆔
Instant KYC
PAN & Aadhaar Mandate
→
✅
Approval
Instant Sanction
→
🎉
Checkout
+28% Conversion
→
📊
Repayment Dash
AutoMandate Schedule
Executive Summary: Designed Snapmint’s zero-cost BNPL checkout flow and multi-acquirer gateway fallback cascade for first-time credit buyers. Increased checkout conversion rate by 28% and reduced payment drop-off by 42%.
+28%
Checkout Conversion Boost
42%
Drop-off Reduction
<30s
KYC & Credit Approval Speed
My Role & Competencies:
⚡ Product Strategy ⚡ User Research ⚡ PRD Specs ⚡ Wireframes ⚡ Prioritization ⚡ Stakeholder Management ⚡ Launch ⚡ Analytics
🧠 Product Thinking & Strategy Breakdown
🎯
🎯 Problem Statement & User Pain
Target User First-Time Credit Buyers, E-Commerce Merchants & Risk Analytics Teams.
The Core Friction High checkout drop-off (65%+) on e-commerce carts due to complex credit application forms and payment gateway failures.
Frequency & Pain Point Frequency: High-intent daily online purchases ranging from ₹2,000 to ₹30,000.
Affected Business Metric E-Commerce Checkout Conversion Rate & First-Payment Default (FPD) Rate
👤
👤 User Research & Insights
Primary Personas Studied Ananya Roy (First-Job Professional) & Priyank Shah (D2C Brand Growth Lead).
User Pain Points Users abandon checkout when asked for 10+ bank details or when primary UPI payment gateway fails.
Key Behavioral Findings 82% of drop-offs happen at the credit approval step if processing takes longer than 45 seconds.
Journey Bottleneck Identified Single payment gateway bottleneck and slow manual KYC document verification.
⚖️
⚖️ Product Strategy & Solution
Alternative Solutions Rejected Traditional credit card application flow requiring income proof documents.
Technical & Business Constraints Regulatory RBI guidelines for digital lending & AutoMandate e-NACH mandates.
Prioritization & MVP Cutoff Built multi-acquirer gateway fallback cascade for checkout before personalized EMI plan selector.
Risk Analysis & Guardrails Real-time risk scoring engine to auto-reject high-risk transactions without compromising sub-30sec checkout.
🚀
📈 Metrics & Business Impact
Chosen Product Solution Snapmint One-Click BNPL Checkout with sub-30sec alternate credit scoring and multi-gateway Auto-Cascade fallback.
Why It Worked Seamless 3-step checkout with instant credit sanctioning and auto-routing around failed payment gateways.
Quantified Business Metrics +28% checkout conversion rate boost; 42% payment drop-off reduction; <30sec average approval time.
Future Product Roadmap AI-driven personalized credit limit expansion and merchant co-branded zero-cost EMI campaigns.
Explore Complete Case Study →
Healthcare AI Agentic Workflows ICU Decision Engine ● Flagship Healthcare AI Project

Healthcare Agentic AI Suite: Hospital Onboarding, Insurance Pre-Auth & ICU Clinical Engine

Healthcare & Enterprise Agentic AI Platform

🏥 PATIENT ADMISSION & PRE-AUTH JOURNEY User Story: 4.3h AI Insurance Pre-Auth & Clinical Decision Triage
🏥
Patient Intake
Hospital Registration
→
📑
Policy Scan
ICD-10 Data Extraction
→
🤖
AI Pre-Auth Agent
Automated Claim Sync
→
💊
Safety Check
Drug Interaction Scan
→
🩺
ICU Support
Sepsis Intercept Agent
→
⚡
SLA Escalation
Human Guardrail Queue
→
🎉
Admission Cleared
82% Speedup (4.3h TAT)
Executive Summary: Architected an enterprise Healthcare Agentic AI Suite automating hospital patient onboarding, insurance pre-authorization claims, drug interaction safety checks, and ICU sepsis triage. Reduced pre-auth turnaround time by 82% (24 hours → 4.3 hours) and cut clinical onboarding delays by 68%.
4.3 Hours
Pre-Auth Claim TAT (was 24h)
82%
Claim Approval Speedup
99.8%
Medication Safety Accuracy
My Role & Competencies:
⚡ Product Strategy ⚡ User Research ⚡ PRD Specs ⚡ Wireframes ⚡ Prioritization ⚡ Stakeholder Management ⚡ Launch ⚡ Analytics
🧠 Product Thinking & Strategy Breakdown
🎯
🎯 Problem Statement & User Pain
Target User Hospital Admissions Desk, Chief Nursing Officers & Medical Insurance Desk Leads.
The Core Friction Manual insurance pre-authorization delays and paper-based onboarding causing 24h+ patient admission bottlenecks.
Frequency & Pain Point Frequency: Hundreds of inpatient admissions daily across tertiary care hospital chains.
Affected Business Metric Pre-Auth Claim TAT (24h) & Hospital Bed Turnover Rate
👤
👤 User Research & Insights
Primary Personas Studied Dr. Aris Thorne (ICU Director) & Meera Sen (Insurance Pre-Auth Coordinator).
User Pain Points 85% of claim rejections stemmed from missing ICD-10 diagnostic codes during initial admission filing.
Key Behavioral Findings Nurses spent 3.5 hours per shift manually re-entering patient vitals between EHR and insurance portals.
Journey Bottleneck Identified Fragmented communication between hospital EHR, TPA insurance desks, and ICU bedside monitors.
⚖️
⚖️ Product Strategy & Solution
Alternative Solutions Rejected Manual call-center pre-auth support (unscalable & prone to 12h+ hold times).
Technical & Business Constraints Strict HIPAA & ABDM compliance for patient health record privacy and encrypted LLM inferencing.
Prioritization & MVP Cutoff Prioritized Automated Pre-Auth Claim Agent + ICU Sepsis Intercept Agent for v1.0 MVP release.
Risk Analysis & Guardrails Human-in-the-loop physician override triggers for any high-severity ICU diagnostic recommendation.
🚀
📈 Metrics & Business Impact
Chosen Product Solution Healthcare Agentic AI Suite embedding Pre-Auth Automation, Drug Safety Verification & ICU Clinical Decision Support.
Why It Worked Replaced manual data re-entry with autonomous multi-agent LLM verification and instant TPA portal sync.
Quantified Business Metrics 82% Pre-Auth TAT reduction (24h → 4.3h), 68% faster onboarding, 99.8% medication safety accuracy.
Future Product Roadmap Autonomous post-discharge remote patient monitoring & AI prescription synthesis.
Explore Complete Case Study →
PRODUCT MANAGEMENT PRINCIPLES & LESSONS

Beyond the Portfolio

What Building These Products Has Taught Me — Core leadership values shaping my product decisions.

🧠

Start with the User

Understand the real workflow, friction points, and human context deeply before designing or coding any technical solution.

User-Centric Thinking
📊

Measure Outcomes

Every feature launched must tie back to a clear North Star metric, driving quantifiable customer satisfaction or business ROI.

Data-Driven Accountability
🤝

Build Through Collaboration

Great products are forged through tight alignment between engineering, product design, business stakeholders, and end customers.

Cross-Functional Leadership
⚡

Ship Small, Learn Fast

Launch tight MVPs early to gather empirical usage data quickly, iterating rapidly based on real-world feedback loops.

Agile Velocity & Iteration
🤖

AI Should Amplify Humans

Deploy Artificial Intelligence to eliminate tedious manual friction, augmenting human judgment rather than adding complexity.

AI & Process Automation
📈

Business Value First

Every roadmap prioritization decision must align with scalable business growth, unit economics, and enterprise strategic goals.

Strategic Impact
💎
“My goal is not just to build products. My goal is to build products that customers love, teams are proud of, and businesses can scale.”
Souvik Ghosh • Product Philosophy

Let's Build Impactful Products Together

Open for Product Manager roles, APM positions, and product strategy discussions.

📄 Download Official CV (PDF) 📥 💼 LinkedIn Profile → ✉️ souvikd772@gmail.com 📞 +91-8145354044