Founding Forward Deployed Engineer
RaydarAbout 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
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Run discovery with executives and operators, translate business problems into product specifications, and build AI workflows from scratch.
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Own full deployment lifecycles from zero-to-one implementation through customer adoption.
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Work on-site with customer decision-makers and technical teams across portfolio companies.
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Build shared data models, ontologies, and workflow infrastructure that connect deployments into reusable vertical products.
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Partner directly with the co-founders, Head of AI, and portfolio CTO to define and execute the applied-AI strategy.
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Help establish the Forward Deployed Engineering pod, operating model, and technical standards.
Requirements
What we're looking for
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3 to 5 years of hands-on software engineering or forward-deployed engineering experience.
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A track record leading technical deployments from discovery through production and adoption.
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Strong full-stack engineering, systems architecture, and data-pipeline fundamentals.
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Experience building with LLMs, applied machine learning, or AI workflow systems.
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Ability to work directly with C-level customers and translate ambiguous operational needs into shipped products.
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Founder-minded ownership, autonomy, and comfort operating without extensive structure.
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Willingness to travel frequently to customer sites.
Bonus points
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Experience productizing patterns across multiple deployments or customers.
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Experience with vertical SaaS, enterprise software, or portfolio-company environments.
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Familiarity with ontology-driven platforms or centralized enterprise data models.
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Experience helping build an engineering team or new technical function.
Location and work model
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Full-time role based in New York City or Chicago.
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Five days per week in the office, with frequent customer travel.
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Candidates must already be authorized to work in the United States without sponsorship.
Benefits
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$200,000 to $300,000 base salary.
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Competitive equity.
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Founding-level ownership of a new applied-AI business.
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Direct access to company founders, portfolio executives, and customer decision-makers.
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