Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

We are looking for a Deployed Engineer to work directly within customer environments, implementing and enhancing a platform that supports mission critical software and AI workflows. In this role, you will act as an engineer, problem solver, and trusted technical partner, leading deployment projects, developing custom solutions for complex enterprise needs, and collaborating closely with customers from project kickoff through delivery.

Responsibilities

Lead end-to-end technical implementations, managing the process from kickoff to successful adoption.
Design and develop custom workflows, integrations, and extensions tailored to specific customer needs.
Diagnose and resolve complex issues within customer environments.
Establish trusted relationships with customer engineering and technical teams.
Share field insights with the product and engineering teams to inform improvements.
Guide customers in defining deployment architectures and best practices that ensure long-term success.
Create deployment playbooks, technical documentation, and implementation resources to accelerate future projects.

Requirements

Experience in software engineering, solutions engineering, or customer facing technical roles
Strong development fundamentals, with the ability to write production-quality code
Direct experience collaborating with customers to solve technical problems and deliver successful outcomes
Solid understanding of APIs, integrations, distributed systems, or cloud-based architectures
Clear communication skills with both technical and non-technical stakeholders
Ownership mentality, taking responsibility for outcomes from discovery through delivery
Experience with developer tools, infrastructure platforms, enterprise software, or AI-native products is a strong plus

About the Company

This venture backed AI infrastructure company is developing the connectivity layer that enables AI platforms and B2B software to take meaningful action within the systems businesses rely on.
The founding team brings experience from Google, Meta, and AWS.
The team is small, retention rates are exceptional, and the technical standards are high.
This is an excellent opportunity for professionals who are excited about meaningful ownership and the chance to help shape the future of collaboration between businesses and AI.