Engineering Manager, Agent Handler
Quick Summary
Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies.
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.
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.
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
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
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- July 2, 2026
- First seen
- September 26, 2026
- Last seen
- September 29, 2026
Posting Health
- Days active
- 3
- Repost count
- 0
- Trust Level
- 20%
- Scored at
- September 29, 2026
Signal breakdown
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