Forward Deployed Engineer

Coffeespace Inc — United States · Posted ~4 hours ago

Full-time Onsite Visa Sponsored $180K base; $270K-$300K OTE

Skills

AI

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Summary ✨ AI‑Generated

Become a Forward Deployed Engineer helping major enterprises transform their business operations with advanced AI. You will work directly on complex client challenges, combining strong engineering skills with practical problem-solving in a fast-growing AI-focused environment. The role offers a $180K guaranteed base, uncapped quarterly bonuses, and visa sponsorship.

Highlights

High earning potential with a guaranteed base salary, uncapped quarterly bonuses, visa sponsorship, and the opportunity to solve complex AI transformation challenges for major enterprise clients.

Description

This role is being recruited by CoffeeSpace on behalf of an anonymous AI-focused company that partners with leading AI organizations to transform business operations for Fortune 500 companies. We’re identifying a small number of exceptional forward deployed engineers from our network. If there’s a strong fit, we’ll introduce you directly to the founding team. Location: New York, New York, United States Compensation: $180K (OTE: $270K - $300K) ($180K guaranteed base + uncapped quarterly bonuses. Engineers in good standing earn ~$300K+ total comp. ) Employment type: Full-time Visa: Visa sponsorship available; open to transfers (no new H1Bs) About the company This company serves as a full-stack AI partner, helping enterprises set and execute their AI strategies with the agility of a startup. They collaborate with renowned AI organizations like Anthropic and OpenAI, focusing on solving complex AI transformation challenges for well-known companies. The team is growing rapidly, aiming to expand from 40 to 200 members by the end of the year. They are fully bootstrapped, consistently outperforming major consulting firms in competitive bids. The company was co-founded by Alex Lieberman, known for founding Morning Brew, and works with clients across various sectors including professional sports, retail, and private equity. About the role You will embed directly into client environments to deploy AI systems that significantly impact business operations. This role involves working closely with C-suite executives and requires a high degree of autonomy and technical expertise. What You’ll Do Lead the development and deployment of AI workflows and systems for enterprise clients.Integrate into client codebases and deliver production-ready code efficiently.Engage with senior executives at major companies, presenting solutions and collaborating on AI strategies.Utilize advanced coding tools to enhance development speed and efficiency.Partner with AI Strategists to conceptualize and implement impactful AI systems. Why This Role Is Compelling Collaborate with Anthropic's Applied AI team on significant projects.Benefit from a growth-oriented environment with opportunities for high earnings and equity.Gain exposure to executive-level decision-making and potential joint venture opportunities.Work in a dynamic, fast-paced setting that challenges and develops your skills. The Ideal Candidate 3-8 years of experience in production software engineering with a record of delivering complex projects.Proficient in full-stack development and deploying production code.Experience with cloud infrastructure providers such as AWS, GCP, or Azure.Strong communication skills for engaging with enterprise clients and executives.Ability to thrive in a fast-paced, in-person work environment in NYC. Next steps Apply via this LinkedIn job postWe’ll review and reach out if there’s a strong matchIf aligned, we’ll introduce you directly to the teamIf this role isn’t the right fit, we may suggest and make introductions to other high-signal startup roles we’re recruiting for, always with your permission. A quick note on authenticity This is a real, active role that CoffeeSpace is recruiting for in close partnership with the hiring team. We don’t post speculative roles and work directly with teams on their actual hiring needs.