---
title: 'Engineering Manager, Agent Handler at Merge'
canonical: 'https://feeny.ai/job/engineering-manager-agent-handler-merge-san-francisco-bndass6j48nb'
type: 'job'
last_seen: '2026-09-04'
---

# Engineering Manager, Agent Handler at Merge

- **Company:** Merge
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-02
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/merge/a2073c73-49cf-44fd-a537-2e6fcb1895ef

## Job description

Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers three core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools, and Merge Gateway, the control plane for running AI in production. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product.

Who are we looking for?

Merge is looking for a hands-on Engineering Manager to lead engineering for one of our new Products org, Agent Handler, the products extending Merge beyond synced data into tools, and actions for the AI era. These are early, fast-moving bets, and this role is squarely about taking them from 0 to 1: finding product-market fit, shipping fast, and building the team around what's working.

You'll lead a team of 5–8 engineers while staying deep in the code, the architecture, and the product itself. We're looking for someone who is genuinely AI-native (you build with AI tooling daily and push your team to do the same), product-minded (you think in terms of users and outcomes, not just tickets), and energized by ambiguity. You've built 0-to-1 products before and know the difference between that and scaling a mature one. You set direction, then roll up your sleeves and help ship it.

What will you be doing?

- Lead a team of 5–8 engineers building new products from early traction toward product-market fit
- Stay hands-on with technical decisions and architecture, especially in high-ambiguity or high-impact areas
- Own the roadmap for your products, balancing fast experimentation with the reliability bar enterprise buyers expect
- Partner directly with product, design, and GTM to turn customer signal into shipped product
- Drive adoption of AI-enabled development and automation across the team
- Build a high-performance culture centered on ownership, speed, and low-ego leadership

What experience is required?

- 6+ years of engineering experience with 1+ years in management
- Experience leading teams of 5+ engineers in fast-paced, startup environments
- Strong product orientation — experience owning or deeply influencing product roadmaps and business outcomes
- Demonstrated ability to operate as a hands-on leader (not purely a people manager)
- Experience building and scaling engineering teams, including hiring and developing internal talent
- Familiarity with modern backend systems and infrastructure (e.g., Django, Python, Postgres, AWS, Kubernetes)
- Interest or experience in AI/ML or developer tooling, or demonstrated curiosity (e.g., actively exploring AI in side projects)
- Ability to balance priorities, tradeoffs, and cross-functional initiatives to drive business outcomes

## Compensation

- The salary compensation range for this role is $230,000 to 270,000
- Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications. In addition to cash compensation, all employees receive an equity compensation package.

## About Merge

## Company Overview
- **One-liner**: Merge is a unified API platform that enables B2B companies to add hundreds of integrations to their products and empowers AI agents with secure, governed access to enterprise tools.
- **Entity Type**: Private (Total funding $74.5M; last round Series B $55M)
- **Headquarters**: San Francisco, California, United States (offices also in New York and Berlin)
- **Founded**: 2020
- **Founders**: Shensi Ding and Gil Feig

## Core Business
- **Primary industry/industries**: API infrastructure, B2B SaaS integrations, AI agent infrastructure
- **Target customers**: B2B SaaS companies, Fortune 500 organizations, AI product teams, enterprises needing customer-facing integrations
- **Mission**: “Reshaping the way the world integrates” and making secure data access easy

## Products & Services
- **Merge Unified**: A single API that gives products access to hundreds of pre-built integrations across HR, payroll, accounting, ticketing, CRM, SCIM, and directory platforms. Handles authentication, security, monitoring, and maintenance. (SaaS / API)
- **Merge Agent Handler**: Enables AI agents to take authenticated actions across thousands of enterprise tools with scoped permissions, complete audit logs, and real-time monitoring. Includes model routing, fallback, and cost optimization. (API / Platform)

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding $74.5M (Series B $55M) as of latest round; annual revenue not publicly available (estimated at ~$1M by third‑party data, but unverified)
- **Notable Investors**: Backed by leading technology investors (names not publicly listed on company pages); recognized as a Forbes Cloud 100 Rising Star and Forbes Next‑Billion‑Dollar Startups 2023
- **Growth Signals**: 104 employees (+14.9% YoY); 21 active job postings (+162.5% YoY); LinkedIn followers 28,176 (+41.9% YoY); product rating 4.8/5 on G2-style reviews; recognized by Forbes

## Competitive Advantages
- **Single API replaces dozens of custom integrations**, drastically reducing engineering time and maintenance overhead
- **Enterprise‑grade security**: SOC 2 Type II, ISO 27001, HIPAA, GDPR certified
- **Model routing and fallback**: Automatically routes LLM calls to the best provider based on cost and performance, with automatic failover
- **Governed agents**: Scoped permissions and complete audit logs satisfy enterprise compliance needs
- **Pre‑built, always‑maintained connectors** across multiple categories (HR, payroll, accounting, ticketing, CRM, etc.)

## Strategic Focus
- Deepening agent‑capabilities (Agent Handler) and expanding the integration catalog
- Positioning as the infrastructure layer for AI products that need reliable, secure access to real enterprise data
- Serving both external product integrations and internal tool automation
- Maintaining enterprise‑grade compliance and data protection as core differentiators

## Why Work Here
- **Culture**: Values include “character of excellence”, “own what matters”, “enthusiasm is momentum”, “make it easy”, and “ask anything, say anything”. High employee ratings: overall 4.4/5, culture 4.5/5.
- **Work model**: In‑person‑first (offices in San Francisco, New York, Berlin). Small startup environment with close‑knit teams.
- **Engineering‑heavy**: 36% of employees in technical roles; top alumni go to OpenAI, Anthropic, Salesforce, Notion.
- **Perks & compensation**: Compensation rating 4.2/5; not many perks publicly detailed, but strong growth trajectory and exposure to cutting‑edge AI/integration problems.
- **Recent departures**: Head of People Operations left in February 2026 – new leadership is being built out.

## Sources
1. [merge.dev](https://www.merge.dev/)
2. [merge.dev/about](https://www.merge.dev/about)
3. [merge.dev/careers](https://www.merge.dev/careers)
4. [linkedin.com/company/merge-api](https://www.linkedin.com/company/merge-api)
5. [merge.careers](https://merge.careers/)

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