Founding Forward Deployed Engineer
The posting does not state a salary. This range is our estimate from the role, the location and the stack — treat it as a guide, not an offer.
- Level
- Senior
- Apply from
- United States
About the role
- Build and deploy applied-AI products.
- Translate business problems into product specifications.
- Own full deployment lifecycles from zero-to-one.
- Work on-site with customer decision-makers.
- Help establish the Forward Deployed Engineering pod.
Skills the posting asks for
- AI workflows
- data models
- deployment
- product specifications
Summarised from the employer’s posting, which is reproduced in full below.
The employer’s full posting
About the company
Our client is an AI-first permanent-capital software group that acquires mission-critical vertical SaaS companies and operates them for the long term. The company has raised more than $50M, acquired eight businesses in under two years, and is building a shared applied-AI platform across its portfolio. Distribution, executive sponsorship, customer relationships, and deployment budgets are already in place.
The role and why it matters
This is a founding Forward Deployed Engineer role with direct access to the co-founders and Head of AI. You will build and deploy applied-AI products across multiple vertical software companies, identify repeatable patterns, and turn successful deployments into reusable platform capabilities.
What you'll do
• Run discovery with executives and operators, translate business problems into product specifications, and build AI workflows from scratch.
• Own full deployment lifecycles from zero-to-one implementation through customer adoption.
• Work on-site with customer decision-makers and technical teams across portfolio companies.
• Build shared data models, ontologies, and workflow infrastructure that connect deployments into reusable vertical products.
• Partner directly with the co-founders, Head of AI, and portfolio CTO to define and execute the applied-AI strategy.
• Help establish the Forward Deployed Engineering pod, operating model, and technical standards.