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Merge Tech Stack

API platform for product integrations and AI agent tooling

Software Development San Francisco, California 51–200 employees Founded 2020 Privately Held

Merge operates a dual-product platform: Merge Unified (a unified integration API) and Merge Agent Handler (secure tool access for LLMs). The stack is polyglot (Django + Python + Rails + Go + React + Vue) with heavy AWS/Kubernetes infrastructure, and hiring is engineering-led with mid- to senior-level engineers dominating headcount. Projects reveal a company simultaneously scaling integration breadth (7 categories, internal tooling for API provider management), building go-to-market (sales process redesign, customer success programs), and tackling talent acquisition friction in competitive West Coast markets.

Tech Stack 36 technologies

Core StackDjango Python React PostgreSQL AWS AWS RDS Docker Kubernetes Ruby on Rails Spring Vue Angular Go TypeScript Figma Greenhouse Ashby Slack HubSpot Salesforce Gong Terraform Prometheus Redis LinkedIn Recruiter X Discord OAuth 2.0 Outreach LinkedIn Sales Navigator+6 more

What Merge Is Building

Challenges

  • Reducing customer churn
  • Save engineering resources
  • Unblock sales
  • High competition for talent in west coast markets
  • Complex compensation and equity conversations
  • Scaling support function
  • Improve overall product experience
  • Extend reach across 7 categories
  • Scaling enterprise growth
  • Complex sales cycles

Active Projects

  • Recruiting strategy and tooling improvement
  • Talent pipeline building in west coast markets
  • Customer success program development
  • Customer onboarding and renewal program
  • Developer experience for merge’s dashboard, docs, apis and sdks
  • Sales process redesign
  • Internal tooling to improve integration development, monitoring, and automation
  • Technical strategy and execution lifecycle of integrations with api providers
  • Deliver enterprise-grade integrations & expand merge's coverage across 7 categories
  • Lead projects related to data quality and internal tooling

Hiring Activity

Accelerating25 roles · 10 in 30d

Department

Engineering
8
Support
4
HR
3
Marketing
2
Sales
2
Design
1
Finance
1
Ops
1

Seniority

Mid
9
Senior
8
Manager
3
Junior
1
Lead
1

Notable leadership hires: Tech Lead

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About Merge

Merge provides integration infrastructure for B2B SaaS, enterprise software, and AI applications. The core offering allows businesses to embed hundreds of third-party integrations (across accounting, HRIS, ATS, ticketing, CRM, and project management verticals) without building custom connectors; a second product line exposes those integrations as tools for AI agents to call securely. Founded in 2020 and headquartered in San Francisco with offices in New York and Berlin, the company operates at 51–200 employees and is backed by $75 million in capital from Accel, NEA, and Addition. Revenue model and customer count are not disclosed, but the sales motion involves both developer-led and direct enterprise channels.

HeadquartersSan Francisco, California
Company Size51–200 employees
Founded2020
Hiring MarketsUnited States, Canada, Germany

Frequently Asked Questions

What tech stack does Merge use?

Django, Python, Rails, Go, and Spring on the backend; React, Vue, and Angular on the frontend. Infrastructure runs on AWS (RDS, Kubernetes, Docker), with Prometheus for monitoring and Terraform for IaC. OAuth 2.0 for auth flows.

What integrations does Merge support?

Merge covers integrations across seven categories: accounting, HRIS, ATS, ticketing, project management, CRM, and related tools. The platform manages authentication, security, monitoring, and maintenance for each connection.

How this profile is built

Merge's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.