Alok Kumar
Product Manager · Pocket FM · IIT Kanpur '24

Alok Kumar

PM · Monetisation · Recommendations · Growth

I turn product ideas into measurable business outcomes — shipping monetisation systems, content algorithms, and AI-powered experiences that move revenue, retention, and engagement for millions of users across India and USA.

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Monetisation
A/B Experimentation
User Retention
Revenue Growth
Content Recommendations
LLM Products
Ads Systems
Cross-functional Leadership
Data-driven Roadmaps
Growth Analytics
User Lifecycle
Stakeholder Alignment
Monetisation
A/B Experimentation
User Retention
Revenue Growth
Content Recommendations
LLM Products
Ads Systems
Cross-functional Leadership
Data-driven Roadmaps
Growth Analytics
User Lifecycle
Stakeholder Alignment

About

Shipped products.
Moved metrics.

I'm a Product Manager at PocketFM (promoted from APM → PM in under a year) owning monetisation, content recommendations, and user lifecycle for India and USA — a combined user base of millions.

Before PocketFM, I drove lending product growth at Uni Cards as a Product & Growth Analyst, working on funnel optimisation, user lifecycle, and business analytics.

I hold a B.Tech from IIT Kanpur (Materials Science + Management Sciences minor, 2024). I'm fluent in SQL, Databricks, Python, and Power BI — I use data to validate hypotheses, not just report outcomes.

IIT Kanpur '24 0-to-1 Feature Ownership Monetisation Systems AI / LLM Products A/B Experimentation Cross-functional Leader India & USA Markets SQL · Databricks · Python

Experience

Career timeline

Apr 2026 – Present
Product Manager
Pocket FM · Bengaluru
  • Promoted in under 11 months — owning full product roadmap for Ads Monetisation, Content Recommendations, and User Lifecycle across India and USA markets
  • Driving revenue growth through offerwall, rewarded ads, and instream ad systems for millions of daily active users
  • Leading cross-functional pods (BE, FE, DS, DE, Design) with end-to-end ownership from problem definition to post-launch analysis
Ads Monetisation Content Recs ULM Roadmap Ownership
Jun 2025 – Apr 2026
11 months
Associate Product Manager
Pocket FM · Bengaluru
  • Grew offerwall DRR from $24K to $36K/month (+50%) through cohort-based pricing experiments and multi-partner scaling
  • Reduced internal ad leakage from 35% → 0.1% and external leakage from 8% → <1%, protecting user experience at scale
  • Led first major cross-team initiative (M0 content stitching) across 6 functions — BE, FE, Platforms, DE, Design, Analytics
  • Shipped LLM-based recommendation evaluation pipeline, building evaluation infrastructure for AI-first product features
Revenue Experiments Ads Infra LLM Evals New User Experience
Jun 2024 – May 2025
1 year
Product & Growth Analyst
Uni Cards · Bengaluru
  • Identified growth opportunities in lending product funnel through business and cohort analytics
  • Managed user lifecycle campaigns and sales ops to improve acquisition and activation metrics
  • Contributed to product strategy for lending products with data-informed recommendations
Growth Analytics Lending Products ULM Business Ops
May – Jul 2023
3 months
Machine Learning Intern
Bana
  • Worked on ML and image recognition projects — early foundation for data science and AI product thinking
Machine Learning Image Recognition

Selected Projects

Where I drove real impact

01 / 06 Monetisation
Offerwall Revenue Growth
↑ 50% DRR growth in 5 months · $50K new iOS revenue
A/B Experimentation Cohort Pricing Partner Scaling
  • Identified pricing inefficiency across user cohorts — designed and shipped 10+ experiments with personalised exchange rates segmented by tenure (D30–D180+) and spender tag
  • Launched weekend sales campaigns driving 45% uplift in offerwall revenue from D30+ non-spenders, adding $40–45K to MRR with zero IAP cannibalisation
  • Led iOS Rewards rollout for D60+ users, unlocking ~$50K in new revenue; scaled winning Tapjoy experiments to Adgem and Adjoe to amplify impact
+50%DRR Growth
$36KMonthly DRR
+37%New OW Users
+29%Daily OW Visitors
02 / 06 Ads Platform
Ads Infrastructure & Leakage Elimination
Internal leakage 35% → 0.1% · External 8% → <1%
Platform Integrity User Experience Guardrails
  • Identified systemic ad over-delivery bug hurting user experience; led end-to-end remediation by migrating all ads and building an approval workflow with frequency guardrails
  • Shipped 1-ad-per-30-min guardrail protecting ~96% of DAUs from over-exposure to ads
  • Separately resolved external ad leakage within 2 weeks by surfacing and fixing multiple platform edge cases; shipped banner retry mechanism adding +9% impressions in India
35%→0.1%Internal Leakage
8%→<1%External Leakage
+9%Banner Impressions
03 / 06 AI / LLM
LLM-Powered Recommendation Engine
Built AI eval infrastructure · Increased discovery playtime
LLM Product Prompt Engineering Eval Framework
  • Defined product spec and ran A/B experiment for LLM-based content recommendation — achieved positive discovery playtime while managing autoplay tradeoffs
  • Built a scalable LLM-as-judge evaluation pipeline (Claude-based) with binary relevance scoring, expert feedback loops, and structured failure mode taxonomy (e.g. REJECTION_SIGNAL_IGNORED)
  • Designed V2 roadmap with Anthropic prompt caching to reduce eval costs — delivered end-to-end AI product lifecycle ownership
↑Discovery PT
V1→V2Eval Framework
AI-FirstFeature Ownership
04 / 06 Content Strategy
Show Ranking System V2
Data-driven content scoring replacing editorial guesswork
Ranking Algorithm Catalogue Optimisation DS Collaboration
  • Designed 3-signal composite scoring formula — ARPL (0.4×), H30 retention (0.3×), H30 LDAU (0.3×) — replacing ad-hoc editorial decisions with a data-driven ranking model
  • Applied percentile-based normalisation within ugc_pgc × language × genre buckets to ensure fair ranking across catalogue segments
  • Enabled content investment decisions to be tied directly to user engagement and revenue signals
3Engagement Signals
2Markets Covered
PGCContent Scope
05 / 06 Retention
User Lifecycle Management System
Multi-channel re-engagement driving DAU and OW/RV adoption
Push + WhatsApp Deep Linking Segmentation
  • Architected personalised lifecycle flows across push notifications and WhatsApp, with show-level triggers and deep-links resolving to exact episode and timestamp — maximising re-engagement intent
  • Designed separate ULM flows for offerwall and rewarded ads cohorts, then unified post-iOS Rewards rollout for a single high-impact lifecycle strategy
  • Increased daily active users engaging with free-coin features, directly supporting MRR targets
2Channels
Ep+TSDeep-link Precision
↑ DAUEngagement Impact
06 / 06 New User Experience
M0 Onboarding — Content Stitching
6-team cross-functional delivery · Positive M0 cohort metrics
0-to-1 Feature Onboarding Stakeholder Management
  • Owned product roadmap and delivery for a 3-month new user onboarding initiative — the first large-scale cross-functional project at PocketFM, aligning 6 teams (BE, FE, Platforms, DE, Design, Analytics)
  • Drove measurable improvement in M0 playtime for targeted cohorts; sunset after assessing long-term scaling tradeoffs — demonstrating product judgment alongside execution
  • Established personal playbook for cross-team prioritisation, sprint planning, and stakeholder communication
6Teams Aligned
3 moEnd-to-End Delivery
↑ M0 PTCohort Impact

Education

Where it all began

B.Tech · Materials Science & Engineering
Indian Institute of Technology, Kanpur
2020 – 2024
Minor in Management Sciences. Active in the Academics & Career Council, Counseling Service, and Departmental Undergraduate Committee — built cross-functional communication and leadership skills early.
Senior Secondary (XII)
Delhi Public School, Bokaro Steel City
Graduated 2019
Strong foundation in sciences and analytical thinking that led to IIT Kanpur.

Core Capabilities

Skills & tools

Product Management
Product Strategy & OKRs
A/B Experimentation & Hypothesis Testing
PRD & Feature Specification
User Lifecycle Management
Monetisation & Revenue Growth
Stakeholder Alignment & Roadmapping
Go-to-Market Execution
Sprint Planning & Agile Delivery
Data & Analytics
SQL · Databricks · Spark SQL
Python (analysis, scripting)
Power BI · Excel
Cohort & Funnel Analysis
Retention & Engagement Metrics
Data Storytelling for Leadership
Google Sheets / Apps Script
Domain Expertise
LLM Products & Prompt Engineering
AI Evaluation Frameworks
Instream, Rewarded & Banner Ads
Offerwall & Reward Systems
Content Recommendation Systems
Push & WhatsApp Campaigns
Accessibility & Platform Standards

Let's Talk

Let's
connect

Always up for a conversation about interesting products, bold ideas, and what's next in consumer tech and AI.

LinkedIn ↗ alokkr2111@gmail.com Book on Topmate ↗