Hello, I'm
Anusha Varikuti

Product Manager shipping products at the intersection of AI, data complexity, and enterprise scale. Certified AI PM with a background spanning supply chain, fintech and applied ML.

$350K+
ARR Shipped
6+
Products Launched
Anusha Varikuti
Anusha Varikuti

I am a Product Manager who ships in hard parts of enterprise

I build products at the intersection of AI, data, and enterprise systems. My work has spanned supply chain, financial services, and applied machine learning — but the skills transfer: structured discovery, technical fluency, experiment design, and shipping things that actually move metrics. Certified AI PM, Next Gen PM.

Featured Projects

One shipped capstone and two structured PM exercises — explained with problem, solution and outcome.

Capstone · ShippedFreightSight AI · AI PM Capstone

GenAI freight inspection platform for 3PL operators

PROBLEM3PL operators process freight damage and paperwork manually — a bottleneck that delays claims and stresses ops teams at scale.
SOLUTIONDesigned FreightSight AI: Gemini 2.5 Pro Vision for damage assessment, agentic OCR for documentation, and a HITL review layer for edge cases — with full GTM strategy, ICP, pricing, and design-partner rollout.
OUTCOME0-to-1 product concept with end-to-end architecture and go-to-market plan covering 3PL target segments and phased adoption.
Gemini 2.5 Pro VisionAgentic OCRHITL DesignGTM Strategy0-to-1
0→1
Capstone Platform
HITL
Edge-case review layer
GTM
Full go-to-market plan
3PL
Target operator segment
AI
Vision + OCR pipeline
PM ExerciseLyft · Campus & Medical Expansion
Portfolio Exercise — Hypothetical · Not affiliated with Lyft

How would you design Lyft's expansion into high-density corporate campuses and medical complexes?

PROBLEMStandard ride-hail doesn't map to high-density campuses — fixed routes, security checkpoints, recurring employee schedules and hospital shift patterns create different mobility needs.
PRODUCTDesigned LyftCampus: scheduled shared shuttles, employer-paid corporate accounts, hospital shift-bundle rides and badge-gated pickup zones. B2B GTM with HR and facilities buyers.
OUTCOMEFull 0-to-1 product spec, pricing model, pilot segmentation and rollout plan with success metrics tied to ride density and contract renewal.
0-to-1B2B GTMMobilityPricingPilot Design
B2B
Campus mobility model
HR
Employer-paid accounts
Shift
Hospital ride bundles
Badge
Gated pickup zones
Pilot
Segmentation + metrics
PM ExerciseGoogle Maps · Metrics Strategy
Portfolio Exercise — Hypothetical · Not affiliated with Google

Defining real success metrics for Google Maps

PROBLEMVanity engagement metrics (DAU, sessions) misrepresent navigation product success when users want the shortest interaction.
APPROACHBuilt a metric tree, redefined the north star around 'completed successful navigations', and designed two A/B experiments that contradicted the old framework.
OUTCOMEReframed measurement model and trade-off analysis between engagement and task-completion metrics.
Metric TreeNorth StarA/B TestingStrategy
2
A/B experiments designed
Tree
Full metric hierarchy
NSM
Task-completion focus
Trade
Engagement vs success
Model
Reframed measurement

How I move from ambiguity to shipped outcomes

A repeatable rhythm of discovery, definition, build and measurement — shaped by enterprise constraints and tuned for measurable lift.

1. Discover

Customer interviews, data audits and competitive teardown to find the real problem worth solving.

2. Define

PRDs, MVP scoping, success metrics and a build-vs-buy call before a line of code is written.

3. Build

Tight loop with engineering and design — release cadence, GTM prep and pilot design partners.

4. Measure

Instrumentation, A/B tests and guardrails — kill features that don't move the north star.

Shipped at Smart Gladiator & Citibank

Six initiatives delivered in-role — from SOC 2 to 3× release velocity across 10M+ daily events.

Trust · Shipped
SOC 2 Type II certification — +30% enterprise acquisition
SOC 2 Type II achieved, unlocking enterprise pipeline and driving a 30% lift in enterprise acquisition.
SOC 2 Type IIComplianceEnterprise GTM
+30%Enterprise acquisition
0-to-1 · Shipped
Digital Inspection Forms — $250K ARR new product line
Net-new product line generating $250K ARR with strong renewal signal.
MVP ScopingPRDMobile
$250KARR shipped
AI / CV · Shipped
AI OCR — damaged-barcode recovery, $100K revenue
$100K direct revenue with 85% automation of previously manual lookups.
Build vs BuyComputer VisionVendor Eval
85%Automation of manual lookups
Agentic AI
GenAI warehouse assistant — 94% intent accuracy
94% intent accuracy in eval set, faster on-floor decisions, and a reusable eval harness for future agents.
Agentic AILLM EvalNL to ERP
94%Intent accuracy
Growth
Feature visibility program — +37% engagement
+37% feature engagement and 10 net-new sales tied directly to surfaced features.
GrowthPrioritizationSales Enablement
+37%Feature engagement
Technical PM
3× release velocity across 10M+ daily events
Release cycle cut from 3 weeks to 5 days, zero audit findings over 2 years, processing 10M+ daily events.
KafkaOracle CDCCI/CD
Release velocity
Smart Gladiator
Citibank
HSBC
Next Gen PM
UCM

Looking for a PM who actually ships?

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Three practices, one operating system

Product strategy, applied AI and growth metrics — the three disciplines I rotate through on every product I touch.

Product Strategy
RoadmapCustomer DiscoveryPRDsMVP ScopingOKR / KPIGTMBuild-vs-Buy
AI & Data PM
Agentic AILLM EvaluationOCR & CVHITL DesignResponsible AIPrompt Design
Technical & Enterprise
Confluent KafkaOracle CDCAWSCI/CDSOC 2 Type IISAP · NetSuiteFinancial Services

Experience

2+ years
Product Manager
Smart Gladiator Inc. · Atlanta, GA · Supply chain SaaS · 800+ enterprise customers
Owned the AI inspection and warehouse-management product platform — from SOC 2 certification and enterprise ERP integrations to a 0-to-1 GenAI digital assistant, computer-vision OCR product line, and feature-visibility growth initiative.
2 years
Associate Technical Product Manager
Citibank · Remote, USA · Real-time risk & compliance data infrastructure
Drove release sequencing for 6 high-throughput Kafka / Oracle CDC pipelines processing 10M+ daily events across 8 teams. CI/CD automation cut release cycles from 3 weeks to 5 days with zero audit findings.
3 years
AML Analyst
HSBC · Andhra Pradesh, India
Monitored high-risk transactions, reduced false-positive escalation rates, and led CDD reviews for high-risk segments including PEPs and complex ownership structures.

Credentials

AI Product Manager Certification
Next Gen PM — incl. FreightSight AI capstone
M.S., Technology Management
University of Central Missouri
B.E., Electronics & Communications Engineering
Andhra University

"Anusha pairs deep technical fluency with sharp product judgment. She turned a vague AI ambition into a shipped product line — compliance, GTM, metrics and all."

Engineering leadership · Smart Gladiator

Let's discuss projects and share insights

Drop a note — I respond within 24 hours.