Moubashsir Jawed profile photo 1 on Tal

Moubashsir Jawed

Principal Product Manager | F2P Mobile Games | LiveOps, Monetization, New Titles | ex-Zynga

Bengaluru

11+ years of work experience

Stellarplay Games
Jul 20242 yrs 3 mosPresent

Product lead for StellarPlay's casual portfolio. Two PMs and two analysts report to me. 1. Shipped three F2P mobile titles. Own roadmap, OKRs, and the revenue/ROAS forecast 2. Shipped features end-to-end across onboarding, progression, and economy, grounding decisions in user research and live A/B experiments 3. Monitored and identified opportunities to improve ARPDAU and LTV: Streak-based feature improved D30 ROAS (32% to 40%), launched cosmetic collection and to improve retention and sale ladder to improve ARPPU 4. Managed Live-Ops: Built systems and processes to take care of Live-Ops, ensuring quality and timely delivery of live content 4.a Reworked event mechanics, improved rewards, and added new monetization avenues, lifting ARPDAU by ~9% 4.b Launched a new LiveOps event featuring an original mini-game, lifting ARPDAU by 11% 5. Led a cross-functional team of Game designer, engineers, UI/UX and artists focused on creating new games and delivering engaging and fun live-ops content 6. Multiple ad-mon mediation optimization: Overall 20% increase in ads ARPDAU 7. Drove AI adoption across content and creative production, automating game content pipelines with design teams and, with the UA lead, built a creative production and testing pipeline that cut concept-to-deployment time
Stellarplay Games
Jul 20213 yrs 1 moJul 2024

Drove product roadmap by owning features across FTUE, engagement, monetization and Live-Ops 1. Revamped FTUE and early game experience: redesigned FTUE by conducting multiple play testing and A/B experiments 1.a Result: 2x early game progression in Dice Town Diaries, moved D1 retention from 28% to 37% 1.b Shipped multiple core progression mechanic for Dice Town Diaries (PvP game) cumulatively moving D28 retention from 3% to 5% 2. Improved Engagement and retention: Identified problems by analysing internal data and benchmarking against competitors, prioritized solutions, wrote PRDs and shipped features 2.a Result: Launched a weekly Bingo event for Dice Town Diaries that improved D28 retention by 100 bps while increasing daily engagement by 11% 3. Improved Monetization: Broke down and solved monetization problem from multiple facets 3.a Economy balancing: Increased new payer conversion from 1.1% to 2.8% in Tile Twist 3.b Game difficulty tuning: Created adaptive PvE tuning in Tile Twist that gave 10% increase in ARPDAU 3.c Live-Ops Improvement: Optimized Leagues tuning to deliver 12% increase in ARPDAU
HSBC
Feb 20201 yr 6 mosJul 2021

Kolkata

Led machine learning delivery and governance for digital banking. 1. Worked closely with business teams to identify opportunities in customer experience, fraud and sales opportunities 2. Intent-prediction models cut call-center volume 8% — $1.2M saved annually. 3. Fraud-risk targeting and comms strategy saved ~$2M/month in compensation. 4. Owned governance across 20+ models — bias, explainability, compliance, monitoring.
MiQ
Sep 20196 mosFeb 2020

Bangalore

Machine learning for programmatic advertising. 1. Collaborative filtering inside marketing creatives cut cost-per-conversion 30% for a retail e-commerce client. 2. Graph-based ad-surfacing model beat cosine-similarity approaches by 9% on CPC.
Zynga
Jul 20181 yr 3 mosSep 2019

Bangalore

Owned analytics for FarmVille Country Escape, closely worked with Product Managers of a $40M-grossing IAP title. 1. Personalized LiveOps difficulty: ARPDAU +3%, with better progression and retention. 2. Designed and analysed 10+ A/B tests across onboarding, progression and monetization. 3. Built the reporting frameworks and self-serve analytics the team ran on.
Mu Sigma Inc.
Mar 20171 yrFeb 2018

Bengaluru Area, India

Enabled Fortune 50 clients make data informed decision, lead a team of 4 Data Scientists. 1. Helped clients identify opportunities worth solving using data - owned definition and prioritization for these problem statements 2. Churn modelling and retention strategy lifted B2B renewals 20%. 3. NLP intent classifier saved a Fortune 20 client ~$3.1M/year, accuracy +40%. 4. Experiment design for campaign measurement: call-centre volume down 4%.
Mu Sigma Inc.
Mar 20152 yrs 1 moMar 2017

Banglore

Moubashsir’s AI Stack

claude code
claude code
claude
claude
gemini
gemini
openai
openai
claudecode
claudecode

Education

Bachelor of Engineering (B.E.), Aerospace Engineering

INDIAN INSTITUTE OF ENGINEERING SCIENCE AND TECHNOLOGY, SHIBPUR

20104 yrs2014

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Headline

Principal Product Manager | F2P Mobile Games | LiveOps, Monetization, New Titles | ex-Zynga

Location

Bengaluru

AI stack

claude code

claude

gemini

openai

claudecode

Work experience

Principal Product Manager at Stellarplay Games, Jul 2024 - Present · 2 yrs 3 mos, Product lead for StellarPlay's casual portfolio. Two PMs and two analysts report to me. 1. Shipped three F2P mobile titles. Own roadmap, OKRs, and the revenue/ROAS forecast 2. Shipped features end-to-end across onboarding, progression, and economy, grounding decisions in user research and live A/B experiments 3. Monitored and identified opportunities to improve ARPDAU and LTV: Streak-based feature improved D30 ROAS (32% to 40%), launched cosmetic collection and to improve retention and sale ladder to improve ARPPU 4. Managed Live-Ops: Built systems and processes to take care of Live-Ops, ensuring quality and timely delivery of live content 4.a Reworked event mechanics, improved rewards, and added new monetization avenues, lifting ARPDAU by ~9% 4.b Launched a new LiveOps event featuring an original mini-game, lifting ARPDAU by 11% 5. Led a cross-functional team of Game designer, engineers, UI/UX and artists focused on creating new games and delivering engaging and fun live-ops content 6. Multiple ad-mon mediation optimization: Overall 20% increase in ads ARPDAU 7. Drove AI adoption across content and creative production, automating game content pipelines with design teams and, with the UA lead, built a creative production and testing pipeline that cut concept-to-deployment time

Product Manager at Stellarplay Games, Jul 2021 - Jul 2024 · 3 yrs 1 mo, Drove product roadmap by owning features across FTUE, engagement, monetization and Live-Ops 1. Revamped FTUE and early game experience: redesigned FTUE by conducting multiple play testing and A/B experiments 1.a Result: 2x early game progression in Dice Town Diaries, moved D1 retention from 28% to 37% 1.b Shipped multiple core progression mechanic for Dice Town Diaries (PvP game) cumulatively moving D28 retention from 3% to 5% 2. Improved Engagement and retention: Identified problems by analysing internal data and benchmarking against competitors, prioritized solutions, wrote PRDs and shipped features 2.a Result: Launched a weekly Bingo event for Dice Town Diaries that improved D28 retention by 100 bps while increasing daily engagement by 11% 3. Improved Monetization: Broke down and solved monetization problem from multiple facets 3.a Economy balancing: Increased new payer conversion from 1.1% to 2.8% in Tile Twist 3.b Game difficulty tuning: Created adaptive PvE tuning in Tile Twist that gave 10% increase in ARPDAU 3.c Live-Ops Improvement: Optimized Leagues tuning to deliver 12% increase in ARPDAU

AVP - Decision Science at HSBC, Feb 2020 - Jul 2021 · 1 yr 6 mos, Kolkata, Led machine learning delivery and governance for digital banking. 1. Worked closely with business teams to identify opportunities in customer experience, fraud and sales opportunities 2. Intent-prediction models cut call-center volume 8% — $1.2M saved annually. 3. Fraud-risk targeting and comms strategy saved ~$2M/month in compensation. 4. Owned governance across 20+ models — bias, explainability, compliance, monitoring.

Data Scientist at MiQ, Sep 2019 - Feb 2020 · 6 mos, Bangalore, Machine learning for programmatic advertising. 1. Collaborative filtering inside marketing creatives cut cost-per-conversion 30% for a retail e-commerce client. 2. Graph-based ad-surfacing model beat cosine-similarity approaches by 9% on CPC.

Data Analyst 2 at Zynga, Jul 2018 - Sep 2019 · 1 yr 3 mos, Bangalore, Owned analytics for FarmVille Country Escape, closely worked with Product Managers of a $40M-grossing IAP title. 1. Personalized LiveOps difficulty: ARPDAU +3%, with better progression and retention. 2. Designed and analysed 10+ A/B tests across onboarding, progression and monetization. 3. Built the reporting frameworks and self-serve analytics the team ran on.

Decision Scientist at Mu Sigma Inc., Mar 2017 - Feb 2018 · 1 yr, Bengaluru Area, India, Enabled Fortune 50 clients make data informed decision, lead a team of 4 Data Scientists. 1. Helped clients identify opportunities worth solving using data - owned definition and prioritization for these problem statements 2. Churn modelling and retention strategy lifted B2B renewals 20%. 3. NLP intent classifier saved a Fortune 20 client ~$3.1M/year, accuracy +40%. 4. Experiment design for campaign measurement: call-centre volume down 4%.

Trainee Decision Scientist at Mu Sigma Inc., Mar 2015 - Mar 2017 · 2 yrs 1 mo, Banglore

Education

Bachelor of Engineering (B.E.), Aerospace Engineering, INDIAN INSTITUTE OF ENGINEERING SCIENCE AND TECHNOLOGY, SHIBPUR