Open to Product, Growth & Strategy roles
Aman Kumar Yadav

ProductStrategıst.

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

I'm a PM with 4+ years across Angel One, LiquiLoans, and Nexgen. I work best when the problem is messy — find the real constraint, define the system, align the teams, and ship the metric that moves the business.

Schedule Intro Call
product.feed / live
Live
Shippedjust now
LAMF onboarding flow v2 — eligibility & drawdown
Deployed· PR #284· 4 reviewers
Experiment2h ago
A/B · CKYC prefill vs manual entry
Winner: prefill· conv +12.5pp· p < 0.05
PRDyesterday
Lifecycle engine — segment trigger schema
In review· eng + risk· v3
Strategythis week
Q4 roadmap — partner-side disbursal lift
3 bets scoped· RICE framed
What I Solve
0→1 launchesNew product motions from concept to repeatable scale.
Lending journeysOnboarding, callbacks, approvals, disbursal, and utilisation.
Lifecycle systemsRetention, CRM, reactivation, and deeper usage loops.
How I Show Up
Prioritise clearlyBacklog sequencing, GTM timing, and roadmap focus.
Write what shipsPRDs, APIs, edge cases, and execution alignment.
Iterate with signalExperiments, lifecycle CRM, and XFN follow-through.
Where I Have Done It
Angel One0→1 lending, partner workflows, and utilisation growth.
LiquiLoansDecisioning, automation, conversion, and activation.
NexgenFunnels, landing pages, SEO, and experimentation.
4+ yrs in Product
410+ Cr deployed in 90 days
−77% application TAT
+12.4pp utilisation lift
scroll
Generative AI

AI, used with judgment.

Sharper output, less noise, and more room for actual product thinking. AI handles the heavy lifting; the calls that matter stay with me.

Three places it moves the needle Human-directed
01 Research

Notes, screenshots, references, and PM artifacts become structured, usable signal — much faster than manual synthesis alone.

ChatGPT Claude Gemini
02 Drafting

PRDs, lifecycle copy, and PM narratives reach a stronger first version sooner. I sharpen, restructure, and tighten — AI just gets me past the blank page.

Claude ChatGPT Genspark
03 Direction

More UI options, more messaging angles, and more experiment framings tested early — so the final path is chosen against real alternatives, not the first idea.

Lovable Emergent Claude
Human-led. Always. Priorities, tradeoffs, and final product calls stay with me. AI is leverage, not autopilot.
About

What I bring to a PM team

The short version for a recruiter or hiring manager: I do my best work in high-ambiguity product environments where the job is to find the real constraint, align the teams, and move the business metric that matters.

How I Create Value
Product Strategy
I define the problem, the sequencing, and the metric a bet should move before work starts.
Growth & Analytics
I diagnose funnels, run experiments, and find leverage across activation, conversion, and utilisation.
Journey Design
I remove friction across onboarding, approval, utilisation, and partner-facing flows.
Execution
I turn strategy into shipped releases through tight backlog management and cross-functional delivery.
Lifecycle & CRM
I build segments, triggers, and journeys that bring users back and increase utilisation.
PRDs & Specs
I write product docs engineers can build from without multiple rounds of clarification.

I’m a Product Strategist / PM with 4+ years across fintech, digital lending, growth, and lifecycle systems. The pattern across my work is consistent: find the real constraint, define the system, align the teams, and ship something that moves the business.

Currently at Angelone Limited, I work on lending product strategy. Before that, I built digital lending and growth muscle across LiquiLoans and Nexgen, with strong exposure to funnel diagnosis, experimentation, lifecycle design, and execution discipline.

How I work
I work best in messy, high-ambiguity environments where the surface problem is obvious but the real bottleneck is not. My starting point is usually the same: funnel diagnosis, operating constraints, and the one metric that matters most.
What I own
PRDs, prioritisation, GTM sequencing, activation levers, lifecycle systems, and cross-functional alignment across engineering, analytics, risk, ops, marketing, and business.
What teams get
A PM who is comfortable with faster TAT, stronger conversion, higher utilisation, cleaner decisioning, and shipped work that actually gets adopted, not just announced.
Work Experience

Career arc from growth loops to lending scale

The progression is clear: start with acquisition and experimentation, deepen into lending execution and systems, then move into strategy, launch ownership, and lifecycle leverage.

03 · Current

Product Manager (Strategy)

Angel One Limited · May 2025 – Present
PL · LAMF · Lifecycle CRM · A/B · CleverTap · Backlog
410+ CrDeployed in 90d
−77%TAT reduction
+12.4ppUtilisation lift
  • Lead end-to-end strategy for PL and LAMF across acquisition, approval, utilisation, and partner workflows.
  • Took personal loans 0→1 to scale — 410+ Cr deployed in 90 days.
  • Fixed critical onboarding bottlenecks in webhook/callback systems, cutting TAT by 77%.
  • Built lifecycle engagement in CleverTap across the full lending ecosystem.
  • Cross-functional ownership: business, engineering, analytics, risk, compliance, ops, marketing.
02 · Build phase

Product Manager

LiquiLoans · May 2023 – Jan 2025 · 1y 8m
Digital Lending · Behavioural Segmentation · Agile · Automation
+133%Disbursal growth
~4%IRR impact fixed
PRDs+ API specs
  • Drove 133% growth in disbursals via decisioning and activation improvements.
  • Authored PRDs and API specs enabling automation across loan processing.
  • Led Agile delivery — backlog, sprint planning, QA, cross-team execution.
  • Fixed a critical financial calculation bug with ~4% IRR impact.
  • Owned funnel diagnostics using behavioural segmentation across the lending journey.
01 · Foundation

Growth Product / Associate PM

Nexgen Cloud Services · Jul 2018 – Dec 2019 · 1y 6m
Acquisition Funnels · Landing Pages · SEO · Experimentation
A/BExperimentation
SEOOrganic growth
FunnelsOptimised
  • Optimised acquisition funnels and landing experiences through structured A/B testing.
  • Built SEO and growth initiatives that lifted organic performance and reduced paid dependence.
  • Improved engagement and retention via data-led experimentation and tighter messaging.
Surface

The toolkit behind the day-to-day work

Diagnose with data, align with teams, draft with clarity, and ship with cross-functional partners. The stack reflects how the work actually moves.

Stack & Tools Used across roles, sized by experience
Hover to pause
Impact

The metrics, with the story behind them

Tap a result to see what changed, why it mattered, and how the work evolved across roles.

Angel One · Lending Launch

0→1 lending launch that moved from concept to scaled deployment

Built the personal loan motion from scratch, aligned the operating model, and turned a fragile early journey into a repeatable business system.

  • Defined the core PRD, event logic, and decision flow across acquisition to disbursal.
  • Stabilised partner callbacks, webhook handling, and ops rhythm so scale did not break execution.
  • Added lifecycle recovery thinking early, not after launch, so adoption and utilisation could keep compounding.
What changed
The product stopped behaving like a pilot and started acting like a repeatable lending motion.
Why it mattered
The business got deployment scale with stronger operating control instead of fragile growth.
Career arc

Impact timeline

From acquisition and growth systems to lending launches, lifecycle engines, and strategic product ownership.

2018

Nexgen · Growth foundations

Built acquisition and landing-page experimentation muscle across search, messaging, and conversion flows.

SEO + funnel testing
2023

LiquiLoans · Decisioning & scale

Moved into digital lending product work with behavioural segmentation, disbursal growth, and tighter execution systems.

133% disbursal growth
2025

Angel One · 0→1 lending launch

Owned the launch system across callbacks, partner coordination, documentation, and funnel movement.

410+ Cr in 90 days
Now

Lifecycle + strategy depth

Layering lifecycle systems, prioritisation frameworks, and product judgment on top of execution-heavy PM work.

+12.4pp utilisation
Projects

Selected product work

Four projects. Each one has a clear constraint, a measurable result, and a decision I owned.

Angel One · Lending0→1 Launch

Personal Loan 0→1

Took PL from zero to a live lending motion — PRD, partner plumbing, and XFN alignment from day one.

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

Propensity → 133% Growth

Segmented users by repayment signals and tied decisioning to cohorts — improving approval quality and disbursal velocity.

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

Lifecycle Engine at Scale

Built a CleverTap system that nudged approved-but-inactive users toward utilisation through state-based segments, not blast campaigns.

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

Organic Growth Engine

Rebuilt content architecture around high-intent search clusters. Reduced paid dependence while lifting qualified top-of-funnel.

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

What I choose not to ship matters too

I included this section because I want a hiring team to see judgment, not just wins. Some of the strongest product calls are the ones you kill early for the right reason.

Killed in Discovery
Gamified EMI Reminders

The idea looked engaging on paper, but user conversations made it clear the tone landed badly.

For users under financial stress, the mechanic felt condescending instead of supportive.

Why I killed it
The emotional cost was higher than the engagement upside. In lending, credibility matters more than cleverness.
What it taught me
Tone is part of product design. If the user's emotional state is wrong for the mechanic, the idea is wrong.
Killed by Data
In-App Financial Literacy

Hypothesis: short educational explainers would improve confidence and reduce drop-off.

A/B result: 0% lift on activation, 4% session drop. Users wanted speed, not extra reading.

Why I killed it
It slowed the journey without improving outcome. Helpful content should not compete with high-intent tasks.
What it taught me
Context beats content quality. Even good information loses value when it interrupts momentum.
Killed by Compliance
Pre-Approved Credit Display

Tempting growth idea — surfacing a pre-approved amount early could increase click-through.

But it introduced RBI disclosure obligations and expectation-management risk before validation checks.

Why I killed it
Regulatory and trust downside outweighed conversion upside. In credit, sequencing is responsible design.
What it taught me
Some ideas are structurally wrong for the domain. Good PM judgment is knowing when not to optimise too early.
Capabilities

How I’d want a team to evaluate my strengths

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

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
Credentials

Learning that supports how I operate

These credentials complement the on-the-job work by sharpening the frameworks I use in strategy, markets, growth, and product execution.

Recruiter FAQ

A few questions hiring teams usually ask

The answers below are the shortest way to understand where I fit best, what kind of teams I work well with, and how I think about the domain.

What roles are you strongest for?

I am strongest in product strategy, growth PM, lending PM, and lifecycle-heavy roles where the work sits between user journeys, business logic, and execution.

The common thread is that the role needs someone who can diagnose a system, define what to ship, and stay close enough to delivery to make sure the metric actually moves.

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

I do my best work with teams facing ambiguity, cross-functional complexity, and a real business constraint rather than a cosmetic roadmap problem.

When the path is unclear but the outcome matters, I am comfortable aligning business, engineering, analytics, ops, and design around a practical plan.

What problems do you usually get pulled into?

Usually the issues are funnel drop-offs, onboarding friction, unclear ownership between teams, weak lifecycle loops, or a launch that needs structure before scale.

I tend to be useful when a business knows something is leaking but needs a PM who can find the bottleneck, frame the tradeoff, and convert it into execution.

How do you balance strategy with execution?

Strategy for me is not a deck disconnected from delivery. I start with the metric, the constraint, and the sequencing, then translate that into PRDs, prioritisation, experiments, and cross-functional follow-through.

That keeps the work grounded in something the team can actually ship, measure, and improve instead of just discuss.

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.

I like domains where product choices have operational and commercial consequences, not just surface-level UX implications.

How do you work cross-functionally?

I align business goals, validate feasibility with engineering, and ground decisions in analytics so the team ships what actually moves the metric.

Are you only a fintech PM?

Fintech is where I have built the deepest muscle, but the transferable value is broader: funnel diagnosis, lifecycle design, growth thinking, documentation, and cross-functional execution.

If the product has complexity, measurable outcomes, and real operating constraints, the core way I work carries well beyond one domain.

How do you use AI in product work?

I use AI as a force multiplier for synthesis, first drafts, and exploring more directions faster, especially across research, PRDs, lifecycle copy, and interface thinking.

The judgment layer stays with me. I do not outsource priorities, tradeoffs, or final decisions to the tool.

What would you focus on in the first 90 days?

I would first understand the company's core metric, map the journey, and identify where growth, activation, delivery, or decision-making is being constrained.

From there I would align on a small number of high-confidence bets, tighten the operating rhythm around them, and make sure the team has the documentation and clarity to execute cleanly.

What differentiates you from other PMs?

Probably the mix of structured product thinking and execution depth. I am comfortable zooming out to talk strategy, but I also stay close to callbacks, CRM flows, experiments, specs, and operating gaps.

That means the work usually does not stop at a polished narrative. It gets translated into something teams can build, launch, and learn from.

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

If your team has a hard product problem and you want a PM who'll get into the constraint, the data, and the call — I'm open to the conversation.

Email
aman.kumar399@gmail.com
Best for role conversations and detailed questions.
LinkedIn
/in/amankyadav
Profile, recommendations, and recent work signals.
WhatsApp
+91 79820 75479
Quick sync if email isn't fast enough.
Open to Product, Growth & Strategy roles. Currently at Angel One. Available for the right next move — fintech, lending, or product-led growth.