GTM Forward Deployed Engineer

United States Digital Space LLC; United States; On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive compensation

Equity options

Flexibility to work across industries

Collaborative, mission-driven team

Job summary

United States Digital Space LLC is seeking a GTM Forward Deployed Engineer to own the motion from early client conversation to a signed statement of work. You will partner with the Chief Commercial Officer and sales to create repeatable, high‑quality processes for producing excellent statements of work, turning opportunities into wins.

This senior, hands‑on role requires fluency in modern AI architecture and the ability to translate business goals into technical solutions, building proofs of

Qualifications

• Strong communicator balancing client needs with company interests.
• Fluency across LLMs, databases, orchestration tools, and cloud APIs.
• Hands‑on ability to build and deliver defensible proofs of concept.
• Natural partner to sales, focused on winning motion and ROI.
• Comfort with ambiguity and pace of an early‑stage company.

Responsibilities

• Partner with Sales to win valuable deals through a best‑in‑class pre‑sales motion.
• Translate business goals into concrete technical architectures and data access methods.
• Build proofs of concept that demonstrate value and enable deal closure.
• Author clear statements of work with credible estimates for effort and timelines.
• Codify our approach into templates and playbooks to enable scalable processes.

Skills

Communication

Sales alignment

POC development

Collaboration with sales

Ambiguity tolerance

Tools

LLMs

Databases

Orchestration tools

Cloud APIs

Job description

About Us

We are a technology services company dedicated to helping organizations build and deploy cutting-edge AI solutions. From generative AI and custom LLM integrations to predictive analytics and intelligent automation, we work across industries to bring real-world AI applications to life. Our projects combine deep technical expertise with hands-on client collaboration to solve high-impact problems.

Role Overview

We are seeking a GTM Forward Deployed Engineer to own the motion from an early client conversation to a signed statement of work. Working as a direct partner to the Chief Commercial Officer and alongside our sales team, you will take the way the company nurtures opportunities and turn it into a repeatable, high-quality process for producing excellent statements of work. You are not just supporting deals — you are helping define how we shape, scope, and win them.

This is a senior individual contributor role for someone deeply fluent in modern AI architecture and hands-on enough to prove it. You will translate business goals into technical solutions, hold a firm point of view on the right model for the right job, and build the proofs of concept that turn high-value opportunities into wins. As an early and influential hire on a small team, you will have real ownership over how we win and scope work as we grow — success means the the company way of shaping and winning deals lives in a repeatable process rather than in any one person’s head.

Key Responsibilities

1. Partner with Sales to Win Valuable Deals

• Work hand in hand with your sales counterparts to run a best-in-class pre‑sales motion — one that wins valuable deals and sets clients up for high ROI.
• Qualify opportunities early with a clear point of view on fit, feasibility, and value, so we invest our time where it counts.
• Bring technical credibility into the room at the right moments, turning client interest into conviction.

2. Translate Business Goals into Technical Architecture

• Take a client's business goals and translate them into concrete technical architectures, orchestration frameworks, and specific data access methods.
• Hold a firm, well‑reasoned point of view on the right model for the right job, and on the trade‑offs behind each choice.
• Define scope, phases, and the shape of an engagement in a way that is both ambitious and deliverable.

3. Build Defensible Proofs of Concept

• Apply strong fluency across LLMs, databases, orchestration tools, and cloud APIs to design solutions that hold up to technical scrutiny.
• Get hands‑on to build and deliver proofs of concept that prove value and help the team win high‑value deals.
• Serve as the bridge between the commercial conversation and what the company can credibly deliver.

4. Author Excellent Statements of Work

• Author clear, compelling statements of work that set the right expectations and protect both the client and the company.
• Build credible estimates for effort, timeline, and pricing in partnership with delivery leads.
• Raise the bar on what an excellent SOW looks like, and make that standard repeatable.

5. Scale the the company Way

• Work side by side with the CCO to codify our approach into templates, playbooks, and a process the team can run consistently.
• Find where the path from opportunity to SOW slows down or varies, and fix it.
• Help the commercial function scale without losing the quality that sets the company apart.

Qualifications

Required

• A strong communicator who can hold both the client's perspective and the company's commercial interests at once.
• Deep fluency across LLMs, databases, orchestration tools, and cloud APIs, with a firm point of view on the right model for the right job.
• Hands‑on ability to build and deliver defensible proofs of concept, not just describe them.
• A natural partner to sales, focused on a winning motion and real client ROI.
• Comfort with ambiguity and the pace of an early‑stage company.

Preferred

• Prior experience in pre‑sales, solutions engineering, or forward deployed roles at a consulting or AI services firm.
• Experience authoring statements of work and building estimates for effort, timeline, and pricing.

What We Offer

• Competitive compensation.
• Equity options in a growing AI services company.
• Flexibility to work across industries and problem domains.
• A collaborative, mission‑driven team passionate about the real‑world impact of AI.