Forward Deployed Engineer ($190K–$235K + Equity) AI Memory and Identity Infrastructure

About the job

This role is being recruited by CoffeeSpace on behalf of an anonymous AI memory and identity infrastructure company.

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: Williamsburg, Brooklyn, NY / on-site

Compensation: $190k–$235k base + competitive equity

Employment type: Full-time

About the company

This company specializes in solving personal identity for the agentic world, focusing on AI, devtools, software development, and API SDKs. Founded in 2023, the company has quickly gained traction with 50x developer growth in three months and over 40,000 users. It recently closed a $9M seed round, with total funding around $14-15M from notable investors including Mozilla Ventures and Greycroft.

The team is currently 15 people strong, and the company is based in Williamsburg, Brooklyn, where they work out of the historic Domino Sugar Factory.

About the role

As a Forward Deployed Engineer, you will own enterprise customer relationships end-to-end, from pre-sales demos to post-sales integration. You will be the first dedicated FDE at this fast-growing company, managing deal flow, building demos, and embedding with customers post-sale to integrate their product.

What You’ll Do

• Manage deal flow end-to-end, including triaging enterprise inbound and delivering on commitments
• Build demos and collateral tailored to each customer’s vertical and use case
• Embed with customers post-sale to audit codebases and build integrations
• Educate enterprise customers on agentic engineering mental models
• Provide feedback to the development team to improve the product

Why This Role Is Compelling

• Join a company with explosive traction and significant funding
• Work directly with the founding team in NYC
• Own the full customer loop at a small, rapidly growing company
• Influence the development of a product solving a major AI challenge

The Ideal Candidate

• 3+ years of experience in a technical, client-facing role
• Proficient in Python, FastAPI, TypeScript, JavaScript, SQL, REST APIs, Docker, Kubernetes, AWS, GCP, LLMs, and agentic frameworks
• Strong communicator with the ability to educate enterprise customers

Next steps

• 1. Apply via this LinkedIn job post
• 2. We’ll review and reach out if there’s a strong match
• 3. If aligned, we’ll introduce you directly to the team
• 4. If 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.