Role Description
Career Launch is hiring for this role and related opportunities.
Career Launch is hiring candidates for Founding Forward Deployed Engineer (FDE) roles and similar opportunities with fast-moving teams.
This is a remote-friendly opportunity for candidates who are analytical, practical, and comfortable working in startup, technology, operations, product, growth, or business-building environments.
What you may work on
- Own meaningful projects, analysis, execution, and communication across cross-functional teams.
- Work with product, engineering, operations, growth, customer, or business stakeholders depending on the role.
- Turn ambiguous priorities into clear next steps, useful documentation, and measurable progress.
- Help teams move faster while maintaining strong judgment, detail orientation, and follow-through.
Who this is for
This is a strong fit for candidates interested in high-growth companies, technology, product, operations, strategy, business development, customer-facing work, or technical roles.
Compensation
Compensation varies by role, location, and experience. Career Launch will share relevant details as candidates move through the process.
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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