Krish TechnoLabs
krishtechnolabs.com
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Design & Creative
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How Krish TechnoLabs hires
Truth index
B 75/100
Ghost roles
0%
Stale roles
100%
Reposted roles
0%
Krish TechnoLabs scores B on the Alion truth index (A is best, E worst), measured over 5 open roles re-checked against its own hiring board: 0% look like ghost listings, 100% have gone stale and 0% are the same role posted again. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
News
Why Brand Loyalty Changes in an Agentic Commerce World - Agentic Commerce Series EP 6
AI-referred traffic to US retail sites in Q1 2026 rose +393%, and that's not even the highlight. The highlight is that it converts 42% better than non-AI traffic. The post Why Brand Loyalty Changes in an Agentic Commerce World - Agentic Commerce Series EP
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What an Effective CRO Operating Model Actually Looks Like? - Conversion Maturity Series EP 15
14 issues, one argument built in sequence: conversion is not a campaign, a button color, or a quarterly sprint. It is an operating discipline that compounds when the organization builds the infrastructure to support it. The post What an Effective CRO Oper
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5 Smart Ways Mature Teams Use VWO Beyond A/B Testing - Conversion Maturity Series EP 14
Most teams buy an experimentation platform to run A/B tests, and it does that job well. What sits unused is everything else it can do, and the reason is almost never the price of the plan. The post 5 Smart Ways Mature Teams Use VWO Beyond A/B Testing - Co
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The MarTech Maturity Scorecard: Where Do You Stand? - MarTech Masterclass Series Ep 24
We opened this series with a claim: that MarTech maturity is a competitive advantage, not a technology checklist. Twenty-three episodes later, we have worked through the whole machine, from unified data and segmentation to predictive models, campaign acti
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Turning ML Models Into Marketing Campaigns That Convert - MarTech Masterclass Series Ep 23
Over the last three episodes, we built the models: the five that matter in episode 20, churn prediction in episode 21, and propensity scoring in episode 22. Every one of them produces the same thing: a number attached to a customer. And a number attached
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Why Most Companies Underutilize Their Experimentation Stack - Conversion Maturity Series EP 13
The company that just upgraded to the enterprise plan and the company still on the starter plan are often running the exact same three tests on the exact same homepage. The tool changed. The behavior did not - That is the whole problem. The post Why Most
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Why Most Ecommerce Catalogs Are Not Ready for AI Agents - Agentic Commerce Series EP 5
In Episode 04, we showed that an AI agent picks between comparable products by reading a scorecard of structured signals. That raises an uncomfortable question that most brands have never asked. The post Why Most Ecommerce Catalogs Are Not Ready for AI Ag
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How Smart Teams Prioritize What to Test - Conversion Maturity Series EP 12
Issue 11 established that learning velocity matters more than win rate. But velocity only compounds when the right things enter the queue first. Testing prioritization is the mechanism that determines whether your experimentation program generates noise o
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Propensity Modeling: Target the Right Customer at the Right Time - MarTech Masterclass Series Ep 22
Most marketing budgets are distributed across audiences based on one of two logics: who the brand knows (first-party lists), or who the platform algorithm thinks is similar (lookalike and interest-based targeting). Both are blunt instruments. The first-pa
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Why Winning Experiments Are Less Important Than Learning Velocity - Conversion Maturity Series EP 11
A team that wins most of its experiments is not doing well. It is being timid. The best programs fail most of the time on purpose, because the goal was never to win tests. It was to learn faster than the competition. Win rate feels like the obvious scoreb
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Tech stack
Technologies named in job postings at Krish TechnoLabs over the last 12 months, by layer, with the share of postings for each.
Technologies in use
25
Postings analysed
6
Stack modernity
74/100
Languages
SQL
JavaScript
Node JS
PHP
Frameworks & libraries
Cypress
Express
Next.js
Playwright
Cloud & platforms
AWS
Azure
Figma
GCP
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Full Krish TechnoLabs tech stack
25 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$13k
Typical range
$13k – $26k
Open positions
6
6
Jobs
Middle
33.3%
Senior
66.7%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Middle | 2 | $13k | $13k – $13k |
| Senior | 4 | $17k | $13k – $26k |
Highest paying role
Sr. Data Engineer
$26k
Normalized to USD per year
All salaries at Krish TechnoLabs
By role, level and city, against the market · 6 jobs with pay
Growth
Hiring Momentum
28/100
Slowing
Open positions
8
0 opened / 0 closed in 30 days
ATS activity
Every ~3 hours
Today
Hiring Dynamics
0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Backend
33% ▼
Administrative
33% ▲
Marketing
33% ▼
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
1
Countries
2
Busiest office
Ahmedabad
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Headquarters
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Office with open vacancies
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Ahmedabad
India
Plant / site
9 open roles 3 posted in 90 days 33% engineering 5000+ est. staff $16k Avg Salary
hires for Sales, Data Science, Backend
Covina
United States
Regional office
440 N Barranca AVE #1879, Covina, CA, 91723, US
Jobs
$10k – $13k per year • In office • Full-Time • 5+ years exp • Ahmedabad
JavaScript
Node JS
Express
Frontend
GraphQL
Next.js
React.js
Mobile
Clean Architecture
DevOps
Rest API
GCP
Azure
CI/CD
Git
AWS
Apply
$6.3k – $13k per year • In office • Full-Time • 3+ years exp • Bachelor's Degree • Ahmedabad
CI/CD
Management
Agile
Scrum
QA
Selenium
Cypress
Playwright
k6
Locust
Apply
≈ $21k – $53k per year (Estimated) • In office • Full-Time • 5+ years exp • Ahmedabad
A/B Testing
Design
Figma
Management
Miro
Confluence
Agile
Scrum
Kanban
Apply
$21k – $26k per year • In office • Full-Time • 5+ years exp • Ahmedabad
Python
Java
SQL
Scala
Snowflake
Apache Kafka
Google BigQuery
Amazon Redshift
BigQuery
AI/ML
Spark
Flink
DevOps
GCP
Azure
CI/CD
AWS
Analytics
ETL/ELT
Apply