Forward Deployed Engineering Manager

Coder is hiring a Forward Deployed Engineering leader to build and scale a new function within Customer Solutions. This role starts in post-sales, focused on onboarding, architecture “get well” engagements, and helping customers adopt new development patterns. Over time, this leader will help define how forward depl...

This is a builder role. The person in this seat will work directly with customers, shape the program design, partner closely with leadership, and help establish a repeatable model that improves customer outcomes while keeping the team lean and highly leveraged.

Build Coder’s Forward Deployed Engineering program inside Customer Solutions
Own the first wave of post-sales patterns, especially onboarding and customer “get well” motions
Help customers implement both the technical and organizational changes required to adopt agentic development workflows
Partner with the Field CTO and Customer Solutions leadership to align strategy, customer feedback, and execution
Use customer signals, product feedback, and operational data to improve onboarding quality, health outcomes, and expansion readiness
Develop repeatable patterns that can scale across customer segments with different levels of complexity
Help define how AI and human-in-the-loop workflows should modernize Customer Solutions over time
Contribute to hiring and team formation, with an expectation that this function grows further by year-end

You’ve led or helped build technical customer-facing teams such as professional services, forward deployed engineering, solution architecture, or implementation
You like operating as both a builder and a leader
You can work directly with customers while also designing the systems, patterns, and operating model behind the work
You’re comfortable with ambiguity and energized by defining a new category of work rather than inheriting a finished playbook
You care about customer outcomes, product feedback loops, and practical organizational change
You have enough technical depth to engage credibly with cloud-native platforms, developer workflows, and AI-enabled development practices

(Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
Experience with Terraform, platform engineering, developer infrastructure, or cloud development environments
Experience in regulated or large enterprise environments
Experience introducing new operating models across post-sales or go-to-market teams
Coder is an AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle.
Our self-hosted AI Development Environment is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale.
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
Ashby helps us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions - it helps our team prioritize which applications to review first.
Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact [email protected].