Engineering Manager, Agent Handler
MergeAPI· startup· Jul 2, 2026 · 4mo agoPosted 117 days ago
San Francisco, CA
In office
Full-time
Manager
$230K–$270K
6+ years exp
Before you apply
Ghost Signal:
Open since July 2, 2026 — 117 days, and still accepting applications.
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 two core products: Merge for Product, and Merge for Workforce. Merge for Product enables teams to ship AI features and integrations at massive scale. Merge for Workforce helps engineering teams govern AI access at the company level. 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.
Application prep
Use the role’s language and application details while tailoring your materials.
Keywords to mirror
aipythonpostgresawskubernetesml
- Platform
- ashby
- Effort
- quick