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Rahil Ahmed

Principal Product Manager | AirAsia | AI | Pricing & Revenue Strategy | Product Analytics | IIT Guwahati

Bengaluru, Karnataka

11+ years of work experience

AirAsia
Apr 20265 moPresent

Bengaluru, Karnataka, India

• Products Built: Ancillary Propensity Model , Ancillary Recommendation Model , Data Analytics Automations • Tools Used: SQL, Google Big Query, Looker Studio, Claude(for AI Agents) , OpenAI , Gemini (for User Stories, PRDs) • Function: Product Analytics | Growth Strategy | Pricing | Monetization • Reporting to CMO ·      CRM Personalization: Built propensity-based CRM targeting using customer segmentation & behavioural data, improving ancillary attachment by +2pp. ·      Dynamic Pricing: Built dynamic pricing models using transaction, demand, and booking signals, increasing revenue by +$0.13 per seat. ·      GenAI & Analytics: Built AI agents for KPI monitoring, RCA, product adoption, campaign impact & A/B experiments, saving 8 h/week of manual effort.
AT&T
Apr 20241 y 8 moDec 2025

Alpharetta, Georgia, United States

• Products Built: Telecom Add-Ons Platform, Device Protection Platform, Active Armour Security, International Calling Plans, Smartwatch Connectivity Plans, AutoPay Billing System, Expedited Fulfilment Monetisation • Tools Used: SQL, Snowflake, AWS, Tableau, Jira, Confluence • Function: Product Management | Commercial Strategy | Digital Platforms • Reported to Technology Director  Led commercial strategy across digital platforms, pricing, fulfilment, and billing, improving revenue, profitability, and operational efficiency. ·      Digital Transformation: Modernized platforms from monoliths to microservices, improving API scalability, enabling analytics and AI adoption. ·      Expedited Fulfilment: Built 2-day, 1-day and same-day shipping capabilities, based on customer feedback, pricing, and competitor insights. ·      Roadmap: Defined product roadmap using customer insights & usage analytics across Roaming, Security, and Insurance on BSSe . ·      Enterprise Billing: Introduced Autopay and billing history status, reducing bad debt, improving compliance, and lowering COGS impact.
Molina Healthcare
Jul 20235 moDec 2023

Kansas, USA

Carsome
Oct 20211 y 3 moJan 2023

WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

• Products Built: Pricing Intelligence Platform, Customer Segmentation Engine, Dealer Marketplace Analytics Platform • Tools Used: SQL, Python, Tableau, Redshift, Excel • Function : Product Management | Pricing | Growth | Monetisation • Reported to CDO  Led marketplace strategy across pricing, customer acquisition, and monetisation, improving revenue, profitability, and operational efficiency. ·      Price Prediction: Enhanced ML price prediction model by identifying gaps in depreciation, demand & pricing signals, improving profit margin by +3.5%. ·      Growth: Led CRM initiatives using user journeys, personas, and behavioural data,  improving campaign targeting and reducing CAC by $55 in 6 months. ·      User Prioritisation: Built dealer prioritisation models using purchase patterns to optimize customer offers, increasing conversion by +1.7%. ·      Leadership: Built a 16-member team, introducing KPI frameworks and analytics-driven decision making across pricing and marketplace initiatives.
SOCAR Mobility Asia
Mar 20192 y 7 moOct 2021

WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

• Products Built: Insurance Pricing Engine, Mileage Pricing Model, Referral & Loyalty Platform • Tools Used: SQL, Spark SQL, Python, Redash, Tableau • Function: Product Strategy | Commercial Strategy | Pricing | Growth • Reported to CFO Owned North Star metrics and led growth strategy across pricing, retention, and marketplace economics to improve LTV/CAC and monetisation. ·      Referral & Loyalty: Optimised programs using funnel analysis, improving user conversion from 13% to 28%, adding +$70 CLTV/user. ·      Risk-Based Pricing: Built risk-based pricing models using payment history, driving behaviour, and customer risk data, generating $1.4M/year. ·      Mileage Pricing: Redesigned the model by replacing free allowances with personalized paid top-ups & bundles, improving ARPU,  generating $3.1M/year. ·      P2P Product Strategy: Defined product strategy and roadmap for car delivery, scaling from pilot to MVP and generating $1.2M/year. ·      Delivery Vertical: Identified an opportunity during COVID, launched a new vertical from research to MVP and P&L ownership, generating $320K/year.
iprice group
Feb 20172 y 1 moMar 2019

Kuala Lumpur, Malaysia

• Products Built: Marketplace Ranking Algorithm, Product Discovery Engine • Tools Used: SQL, PowerBI, Excel, Google Analytics • Product Growth | Business Strategy | Marketplace Analytics   • Reported to VP, Business  Led growth strategy across search, discovery, customer acquisition, and marketplace optimisation, improving CTR, CR, and RPC as success metrics. ·      Search Ranking: Optimised search ranking models using product discovery, demand, supply, & conversion signals, driving +11.7% revenue growth (QoQ).   ·      Recommendations:  Optimised product & coupon recommendations using search demand, conversion signals & A/B testing, increasing CTR by +15%. ·      Marketplace Expansion: Identified opportunities through search demand analysis, onboarding 200+ merchants, scaling catalogue from $3.5M to $4.8M.
CARS24
Oct 20164 moFeb 2017

Hyderabad

• Products Built: Dealer Negotiation Framework, Regional Marketplace Expansion Model • Tools Used: Excel, CRM platforms • Program Management | Retail Operations | Commercial Growth • Reported to City Head ·      Sales Conversion: Used regional market analysis and guerrilla marketing to improve monthly sales conversion from 12% to 22%.   ·      Market Expansion: Identified opportunities through market analysis, supporting dealer acquisition, regional growth, and operational planning.
OYO
Apr 20151 y 6 moOct 2016

Hyderabad

• Products Built: OYO Life Long-Stay Marketplace Platform, Pricing Optimisation Framework • Tools Used: SQL, CRM systems, Excel • Program Management | Business Strategy | Pricing | Operations • Reported to City Head ·      Dynamic Pricing:  Built dynamic pricing models using supply-demand signals and occupancy trends, increasing utilisation and revenue per room by 1.3x. ·      Customer Experience: Used customer insights to increase CSAT from 72% to 87%, while scaling 200+ hotel partners generating $4.3M GMV/year. ·      New Venture: Launched cloud kitchen initiative after identifying an in-house kitchen gap, generating $90K/year GMV for partners. ·      Long-Term Rentals: Identified long-term rentals opportunity via usage analytics and user feedback, launched OYO life, generating +13% of OYO GMV.
Jul 20145 moDec 2014

Hyderabad

Tata Projects
Apr 20133 moJul 2013

Hyderabad

IIT Bombay
Apr 20123 moJul 2012

Bombay

L&T
Apr 20123 moJul 2012

Bombay

Medium
@ahmedrahil
Personal portfolioahmedrahil786.wixsite.com/rahilahmed
YouTubeyoutube.com/@ahmedrahil786

Rahil’s AI Stack

claude code
claude code
codex
codex
gemini
gemini
notebooklm
notebooklm
openai
openai
Gamma
Gamma

Education

Indian Institute of Technology, Guwahati

Bachelor of Technology (B.Tech.), Civil Engineering

Indian Institute of Technology, Guwahati

20104 yrs2014
University of Central Missouri

Master of Science - MS, Big Data Analytics and Information Technology

University of Central Missouri

20222 yrs2024

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Headline

Principal Product Manager | AirAsia | AI | Pricing & Revenue Strategy | Product Analytics | IIT Guwahati

About

I am a growth-focused Product Management leader with over 12 years of experience driving marketplace expansion, pricing strategy, and monetization across the US, Southeast Asia, and India. Throughout my career at organizations like AirAsia, AT&T, and Carsome, I have specialized in building AI-powered propensity models and data-driven product frameworks that optimize revenue, conversion, and operational efficiency. I am passionate about leveraging Agentic AI and advanced analytics to solve complex challenges in mobility, telecom, and e-commerce ecosystems, consistently delivering measurable impact on GMV and customer lifetime value.

Location

Bengaluru, Karnataka

AI stack

claude code

codex

gemini

notebooklm

openai

Gamma

Work experience

Product Lead - Growth Strategy & Data Insights at AirAsia, Apr 2026 - Present · 5 mo, Bengaluru, Karnataka, India, • Products Built: Ancillary Propensity Model , Ancillary Recommendation Model , Data Analytics Automations • Tools Used: SQL, Google Big Query, Looker Studio, Claude(for AI Agents) , OpenAI , Gemini (for User Stories, PRDs) • Function: Product Analytics | Growth Strategy | Pricing | Monetization • Reporting to CMO · CRM Personalization: Built propensity-based CRM targeting using customer segmentation & behavioural data, improving ancillary attachment by +2pp. · Dynamic Pricing: Built dynamic pricing models using transaction, demand, and booking signals, increasing revenue by +$0.13 per seat. · GenAI & Analytics: Built AI agents for KPI monitoring, RCA, product adoption, campaign impact & A/B experiments, saving 8 h/week of manual effort.

Senior Product Manager - Digital Platforms at AT&T, Apr 2024 - Dec 2025 · 1 y 8 mo, Alpharetta, Georgia, United States, • Products Built: Telecom Add-Ons Platform, Device Protection Platform, Active Armour Security, International Calling Plans, Smartwatch Connectivity Plans, AutoPay Billing System, Expedited Fulfilment Monetisation • Tools Used: SQL, Snowflake, AWS, Tableau, Jira, Confluence • Function: Product Management | Commercial Strategy | Digital Platforms • Reported to Technology Director Led commercial strategy across digital platforms, pricing, fulfilment, and billing, improving revenue, profitability, and operational efficiency. · Digital Transformation: Modernized platforms from monoliths to microservices, improving API scalability, enabling analytics and AI adoption. · Expedited Fulfilment: Built 2-day, 1-day and same-day shipping capabilities, based on customer feedback, pricing, and competitor insights. · Roadmap: Defined product roadmap using customer insights & usage analytics across Roaming, Security, and Insurance on BSSe . · Enterprise Billing: Introduced Autopay and billing history status, reducing bad debt, improving compliance, and lowering COGS impact.

Data Product Manager Intern at Molina Healthcare, Jul 2023 - Dec 2023 · 5 mo, Kansas, USA

AVP, Head of Data & Product Insights at Carsome, Oct 2021 - Jan 2023 · 1 y 3 mo, WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia, • Products Built: Pricing Intelligence Platform, Customer Segmentation Engine, Dealer Marketplace Analytics Platform • Tools Used: SQL, Python, Tableau, Redshift, Excel • Function : Product Management | Pricing | Growth | Monetisation • Reported to CDO Led marketplace strategy across pricing, customer acquisition, and monetisation, improving revenue, profitability, and operational efficiency. · Price Prediction: Enhanced ML price prediction model by identifying gaps in depreciation, demand & pricing signals, improving profit margin by +3.5%. · Growth: Led CRM initiatives using user journeys, personas, and behavioural data, improving campaign targeting and reducing CAC by $55 in 6 months. · User Prioritisation: Built dealer prioritisation models using purchase patterns to optimize customer offers, increasing conversion by +1.7%. · Leadership: Built a 16-member team, introducing KPI frameworks and analytics-driven decision making across pricing and marketplace initiatives.

Senior Manager - Product and Busienss Intelligence at SOCAR Mobility Asia, Mar 2019 - Oct 2021 · 2 y 7 mo, WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia, • Products Built: Insurance Pricing Engine, Mileage Pricing Model, Referral & Loyalty Platform • Tools Used: SQL, Spark SQL, Python, Redash, Tableau • Function: Product Strategy | Commercial Strategy | Pricing | Growth • Reported to CFO Owned North Star metrics and led growth strategy across pricing, retention, and marketplace economics to improve LTV/CAC and monetisation. · Referral & Loyalty: Optimised programs using funnel analysis, improving user conversion from 13% to 28%, adding +$70 CLTV/user. · Risk-Based Pricing: Built risk-based pricing models using payment history, driving behaviour, and customer risk data, generating $1.4M/year. · Mileage Pricing: Redesigned the model by replacing free allowances with personalized paid top-ups & bundles, improving ARPU, generating $3.1M/year. · P2P Product Strategy: Defined product strategy and roadmap for car delivery, scaling from pilot to MVP and generating $1.2M/year. · Delivery Vertical: Identified an opportunity during COVID, launched a new vertical from research to MVP and P&L ownership, generating $320K/year.

Product Manager - Business Strategy and Growth at iprice group, Feb 2017 - Mar 2019 · 2 y 1 mo, Kuala Lumpur, Malaysia, • Products Built: Marketplace Ranking Algorithm, Product Discovery Engine • Tools Used: SQL, PowerBI, Excel, Google Analytics • Product Growth | Business Strategy | Marketplace Analytics • Reported to VP, Business Led growth strategy across search, discovery, customer acquisition, and marketplace optimisation, improving CTR, CR, and RPC as success metrics. · Search Ranking: Optimised search ranking models using product discovery, demand, supply, & conversion signals, driving +11.7% revenue growth (QoQ). · Recommendations: Optimised product & coupon recommendations using search demand, conversion signals & A/B testing, increasing CTR by +15%. · Marketplace Expansion: Identified opportunities through search demand analysis, onboarding 200+ merchants, scaling catalogue from $3.5M to $4.8M.

Program Manager - Retail Operations at CARS24, Oct 2016 - Feb 2017 · 4 mo, Hyderabad, • Products Built: Dealer Negotiation Framework, Regional Marketplace Expansion Model • Tools Used: Excel, CRM platforms • Program Management | Retail Operations | Commercial Growth • Reported to City Head · Sales Conversion: Used regional market analysis and guerrilla marketing to improve monthly sales conversion from 12% to 22%. · Market Expansion: Identified opportunities through market analysis, supporting dealer acquisition, regional growth, and operational planning.

Program Lead - Business Development & Operations at OYO, Apr 2015 - Oct 2016 · 1 y 6 mo, Hyderabad, • Products Built: OYO Life Long-Stay Marketplace Platform, Pricing Optimisation Framework • Tools Used: SQL, CRM systems, Excel • Program Management | Business Strategy | Pricing | Operations • Reported to City Head · Dynamic Pricing: Built dynamic pricing models using supply-demand signals and occupancy trends, increasing utilisation and revenue per room by 1.3x. · Customer Experience: Used customer insights to increase CSAT from 72% to 87%, while scaling 200+ hotel partners generating $4.3M GMV/year. · New Venture: Launched cloud kitchen initiative after identifying an in-house kitchen gap, generating $90K/year GMV for partners. · Long-Term Rentals: Identified long-term rentals opportunity via usage analytics and user feedback, launched OYO life, generating +13% of OYO GMV.

Civil Engineer Intern at Novus Constructions, Jul 2014 - Dec 2014 · 5 mo, Hyderabad

Civil Engineer Internship at Tata Projects, Apr 2013 - Jul 2013 · 3 mo, Hyderabad

Research Internship at IIT Bombay, Apr 2012 - Jul 2012 · 3 mo, Bombay

Civil Engineer Internship at L&T, Apr 2012 - Jul 2012 · 3 mo, Bombay

Education

Bachelor of Technology (B.Tech.), Civil Engineering, Indian Institute of Technology, Guwahati

Master of Science - MS, Big Data Analytics and Information Technology, University of Central Missouri

Public links

medium: https://medium.com/@ahmedrahil

ahmedrahil786.wixsite.com: https://ahmedrahil786.wixsite.com/rahilahmed

youtube.com: https://youtube.com/@ahmedrahil786