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Kenko AI Tech Stack

AI-powered marketing and booking platform for independent fitness studios

Technology, Information and Internet San Francisco, California 51–200 employees Privately Held
gokenko.com LinkedIn

Kenko builds an AI-driven platform that automates marketing and booking workflows for fitness studio owners. The tech stack—Snowflake, dbt, Airflow, BigQuery, plus React/Next.js frontend—reveals a data-intensive business model where member acquisition and retention drive unit economics. Active projects span payments automation, ETL pipeline work, and churn reduction, while stated pain points around query performance and platform scalability suggest the company is hitting growth walls in data infrastructure that typical fitness SaaS doesn't typically face.

Tech Stack 35 technologies

Core StackSnowflake dbt Redshift BigQuery Apache Airflow AWS Tableau Looker React Next.js TypeScript Jest Cypress Playwright Redux GraphQL Postman Stripe Adyen Figma Sketch GoodData SQL React Testing Library Zustand Git REST Assured iOS Android Adobe XD+5 more

What Kenko AI Is Building

◆Challenges

  • Query performance and cost efficiency
  • Platform scalability
  • Data inconsistencies
  • Robust release quality gates
  • Comprehensive regression coverage
  • Reducing customer churn
  • Complex support issues
  • Scaling customer success operations
  • Improving support quality
  • Replacing ten different tools with one platform

▲Active Projects

  • Payments testing automation
  • Airflow dags for etl orchestration
  • Customer feedback loop
  • Dbt pipeline development
  • Reduce customer churn and increase retention
  • Real-time messaging qa
  • Ai-driven automation qa
  • Dbt pipelines for data transformation
  • Design system maintenance
  • New product feature design

Hiring Activity

Decelerating15 roles · 4 in 30d

Department

Engineering
6
Data
3
Support
3
Design
1
HR
1
Product
1
Sales
1

Seniority

Senior
6
Mid
5
Lead
3
Junior
1
Manager
1
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About Kenko AI

Kenko is a SaaS platform serving independent fitness studio owners across the United States. The product automates two core workflows: marketing (member acquisition and engagement) and class booking logistics, reducing operational overhead so owners can focus on coaching and community. The company operates a 51–200 person team based in San Francisco, with engineering and data functions dominating the headcount; active hiring is concentrated in India. Customer success appears to be an emerging bottleneck, with support scaling and churn reduction listed as key challenges.

HeadquartersSan Francisco, California
Company Size51–200 employees
Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Kenko AI use?

Backend: Snowflake, BigQuery, Redshift, Apache Airflow, dbt, SQL. Frontend: React, Next.js, TypeScript. Testing: Jest, Cypress, Playwright. Payments: Stripe, Adyen. Design: Figma, Sketch, Adobe XD.

What are Kenko AI's main product challenges?

Query performance and cost efficiency, platform scalability, data inconsistencies, and reducing customer churn. Also working to consolidate ten separate tools into a single platform.

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