Actively exploring Product, Growth & Strategy opportunities
Aman Kumar Yadav

ProductStrategist.

Turning ambiguous problems into shipped product across fintech, lending, and growth.

4+ yrs · Angel One, LiquiLoans, Nexgen. Messy problem in → shipped metric out.

Schedule Intro Call
selected.work / proof
Proof
LaunchAngel One
Personal Loan 0→1 — partner GTM, PRD, rollout
₹410+ Cr in 90d· PL + LAMF
JourneyAngel One
LAMF funnel — webhook and callback bottlenecks
TAT −77%· conversion +31%
LifecycleAngel One
CleverTap engine — approved-but-idle recovery
+12.4pp utilisation· 65% ecosystem
DecisioningLiquiLoans
Propensity-risk cohorts wired into lending funnel
+133% disbursals· +13.5% activation
What I Solve
0→1 launchesConcept → repeatable scale
Lending journeysOnboarding → disbursal → utilisation
Lifecycle systemsRetention, CRM, reactivation loops
How I Show Up
Prioritise clearlyBacklog, GTM timing, roadmap focus
Write what shipsPRDs, APIs, edge cases
Iterate with signalExperiments, CRM, XFN follow-through
Where I Have Done It
Angel OnePL, LAMF, lifecycle CRM, lending strategy
LiquiLoansDecisioning, automation, lending operations
NexgenFunnels, SEO, acquisition experiments
4+ yrs product + strategy
PM growth, lending, lifecycle
Fintech PL, LAMF, P2P, NBFC
60d notice period
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About

What I bring to a PM team

I do my best work in high-ambiguity environments: find the real constraint, align the teams, move the metric that matters.

How I Create Value
Product Strategy
Problem, sequencing, and target metric — defined before work starts.
Growth & Analytics
Funnel diagnosis, experiments, leverage across activation → utilisation.
Journey Design
Friction out of onboarding, approval, and partner flows.
Execution
Strategy → shipped releases, via tight backlog and XFN delivery.
Lifecycle & CRM
Segments, triggers, journeys that bring users back.
PRDs & Specs
Docs engineers build from — zero clarification loops.

I’m a Product Strategist / PM with 4+ years across fintech, lending, growth, and lifecycle systems — currently at Angel One, previously LiquiLoans and Nexgen. The pattern is consistent: find the real constraint, define the system, align the teams, ship the metric.

4+Yrs fintech PM
FintechPL, LAMF, P2P
0→1Launch ownership
XFNEng, risk, ops, business
How I work
Best in messy, high-ambiguity environments. Starting point: funnel diagnosis, operating constraints, and the one metric that matters most.
What I own
PRDsPrioritisationGTM sequencingActivation leversLifecycle systemsXFN alignment
What teams get
Faster journeysConversion liftLifecycle adoptionDisbursal growthShipped, adopted
Work Experience

Career arc from growth loops to lending scale

Acquisition & experimentation → lending execution & systems → strategy, launch ownership & lifecycle leverage.

Angel One Limited

Product Manager Strategy

May 2025 – Present

Own PL, LAMF, lifecycle CRM, partner flows, and cross-functional lending execution.

₹410+ Cr in 90dTAT −77%+12.4pp utilisation
  • Launched and scaled personal loan journeys from 0→1 with product, business, risk, ops, and engineering.
  • Reduced application turnaround by fixing webhook, callback, and partner-state bottlenecks.
  • Built lifecycle journeys across lending to move approved users toward repeat usage.
LiquiLoans

Product Manager

May 2023 – Jan 2025

Digital lending, behavioural segmentation, BRE automation, and Agile release ownership.

+133% disbursals~4% IRR fixPRDs + APIs
  • Used propensity-risk cohorts to improve activation and disbursal outcomes.
  • Wrote PRDs and API specs for automated loan processing and rule-based routing.
  • Owned backlog, sprint execution, QA loops, and stakeholder alignment.
Nexgen Cloud Services

Growth Product Associate PM

Jul 2018 – Dec 2019

Acquisition funnels, landing pages, SEO, retention experiments, and growth operations.

A/B testingSEO growthFunnel ops
  • Improved acquisition and conversion through landing-page and search experiments.
  • Built early growth loops across content, re-engagement, and campaign messaging.
Impact

The metrics, with the story behind them

Tap a result for the story behind it.

Angel One · Lending Launch

0→1 lending launch: concept to scaled deployment

PL built from scratch — fragile pilot turned repeatable business system.

  • PRD, event logic, decision flow — acquisition to disbursal.
  • Stabilised callbacks, webhooks, ops rhythm for scale.
  • Lifecycle recovery built in before launch, not after.
What changed
Pilot → repeatable lending motion.
Why it mattered
Scale with control, not fragile growth.
Career arc

Impact timeline

Growth systems → lending launches → lifecycle engines → strategy.

2018

Nexgen · Growth foundations

SEO + funnel testing
2023

LiquiLoans · Decisioning & scale

+133% disbursals
2025

Angel One · 0→1 lending launch

₹410+ Cr in 90 days
Now

Lifecycle + strategy depth

+12.4pp utilisation
Projects

Selected product work

Four projects. Each: a constraint, a result, a decision I owned.

Angel One · Lending0→1 Launch

Personal Loan 0→1

Zero to live lending motion: PRD, partner plumbing, XFN.

₹410+ Crin 90 days
−77%TAT
+31%conversion
PRDWebhooksCleverTapXFN
LiquiLoans · RiskDecisioning

Propensity → 133% Growth

Repayment-signal cohorts wired into decisioning.

+133%disbursals
+13.5%activation
SegmentationDecision treeA/B
Angel One · CRMLifecycle

Lifecycle Engine at Scale

State-based segments moved approved-but-idle users to drawdown.

+12.4pputilisation
65%ecosystem coverage
CleverTapCRM flowsSegmentation
Nexgen · GrowthAcquisition

Organic Growth Engine

High-intent search clusters replaced paid dependence.

+26%SERP lift
−38%paid dependence
SEOLanding pagesFunnel ops
Intellectual Honesty

Judgment includes saying no

Ideas I stopped when discovery, data, or compliance made the tradeoff wrong.

Discovery call

Gamified EMI reminders

Stopped after users under financial stress read the mechanic as condescending rather than supportive.

PrincipleTrust beats cleverness.
Experiment result

In-app financial literacy

Killed after A/B data showed no activation lift and a session drop from adding reading into a high-intent flow.

PrincipleMomentum beats extra content.
Compliance review

Pre-approved credit display

Paused because early amount display created disclosure and expectation risk before validation checks.

PrincipleResponsible sequencing wins.
Capabilities

How I’d want a team to evaluate my strengths

Not a keyword checklist — the mix of growth, analytical, and execution strengths I bring most consistently.

BigQuerySQLTableauMixpanelCleverTapJiraPostmanFigmaConfluenceExcelGA4ChatGPT / Claude
Core strength 5
Growth & Activation 92

Funnels, onboarding, conversion — fastest area of impact.

410+ Cr in 90d+31% conversion
User Journey Design 90

Friction removal across acquisition to disbursal flows.

−77% TATWebhook redesign
Lifecycle & CRM 89

State-based CRM systems, not blast campaigns.

+12.4pp utilisationCleverTap engine
Fintech Domain 87

PL, LAS, P2P, NBFC — credit decisioning and unit economics.

NBFC NIM/ROABRE design
0→1 Launch Ownership 88

Two products taken from zero to live, with GTM ownership.

PL 0→₹410 CrP2P decisioning
Actively practised 4
Data & Analytics 88

SQL, BigQuery, metric trees, cohort diagnosis.

BigQuery cohortsNorth Star trees
Execution & XFN 86

Driving releases across eng, risk, compliance, ops, analytics.

6+ team alignmentDecision logs
Product Strategy 85

RICE, JTBD, North Star — turning ambiguity into roadmaps.

Roadmap tradeoffsGTM sequencing
A/B & Experiments 84

Test design, segmentation, and reusable readout frameworks.

CKYC flow +31%Funnel experiments
Building depth 3
Stakeholder Mgmt 83

Pre-reads, exec alignment, and upward communication.

Pre-read rhythmRisk + compliance
Technical Delivery 81

PRDs, API specs, webhooks, event instrumentation.

API + webhook specs4% IRR fix
Agile & Sprint Ops 80

Backlog health, sprint planning, QA without process theatre.

Sprint cadenceRelease ownership
Generative AI

AI, used with judgment.

Useful leverage for research, synthesis, drafts, and options. Final priorities and product calls stay human-led.

Where it supports the work Human-directed
01 Research

Raw notes, calls, and artifacts → structured signal faster.

ChatGPTClaudeGemini
02 Drafting

First drafts for PRDs, narratives, CRM copy, and sharper options.

ClaudeChatGPTGenspark
03 Direction

More alternatives explored early; the final path is chosen against real constraints.

LovableEmergentClaude
Force multiplier, not autopilot. AI speeds the work. Judgment decides what ships.
Credentials

Learning that supports how I operate

Credentials that sharpen the frameworks behind the work: strategy, markets, growth, and execution.

Certified

Aha! Product Management

Roadmapping, prioritisation, and delivery frameworks that support cleaner product sequencing.

RoadmapsPrioritisationDelivery
Micro-cert

Product-Led Growth

Activation, product-qualified loops, onboarding, and retention thinking for growth work.

ActivationFunnelsPLG
Markets

Bloomberg Market Concepts

Finance and market fluency that supports sharper fintech and lending product judgment.

MarketsFinanceRisk lens
Top Fellow

NextLeap PM Fellowship

External validation of structured product thinking, case work, and execution quality.

Product craftCase workRecognition
Recruiter FAQ

A few questions hiring teams usually ask

The shortest way to understand where I fit best and how I think about the domain.

What roles are you strongest for?
Product StrategyGrowth PMLending PMLifecycle / CRM PMStrategy & Ops

Anywhere the job is: diagnose the system, define what to ship, move the metric.

What kind of teams do you do your best work with?

Teams facing ambiguity, cross-functional complexity, and a real business constraint. When the path is unclear but the outcome matters, I align business, engineering, analytics, ops, and design around a practical plan.

How do you balance strategy with execution?
MetricConstraintSequencingPRDsExperimentsShipped & measured

Strategy is not a deck disconnected from delivery — it ends in something the team ships.

Why fintech and lending?

Because the work has real weight. In lending, product decisions touch trust, risk, compliance, operations, and revenue at the same time — choices have commercial consequences, not just UX implications.

Are you only a fintech PM?

Fintech is the deepest muscle, but the transferable core — funnel diagnosis, lifecycle design, growth thinking, cross-functional execution — carries to any product with complexity, measurable outcomes, and real operating constraints.

How do you use AI in product work?
Research synthesisPRD first draftsLifecycle copyMore options, faster

Force multiplier, not autopilot — priorities, tradeoffs, and final calls stay with me.

What would you focus on in the first 90 days?
Days 0–30DiagnoseCore metric, journey map, real constraint
Days 30–60BetFew high-confidence bets, aligned XFN
Days 60–90ShipTight operating rhythm, measured outcomes
What is your notice period?

My standard notice period is 60 days.

If the opportunity is a strong fit, I am open to discussing transition planning and whether an earlier ramp or phased handover is feasible.

Contact

Let's talk if there's a real product to build

Hard product problem? I'll get into the constraint, the data, and the call.

Actively exploring Product, Growth & Strategy opportunities. Currently at Angel One and open to recruiter conversations now for fintech, lending, product-led growth, and strategy roles.