# Plastic Labs - Forward Deployed Engineer at deCircle

> Onsite · United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2780604 (read 2026-11-08).

## Facts (observed)

- Company: [deCircle](https://alderhq.app/companies/decircle)
- Location text: New York, New York, United States
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: New York, New York, United States")
- Posted: 2026-10-12 (26 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://talent.makerdao.network/o/plastic-labs-forward-deployed-engineer
- Skills listed (inferred): TypeScript, JavaScript, Python, FastAPI, AWS, GCP, Kubernetes, Docker, SQL, LLMs

## Pay and sponsorship

- Posted pay: $190k–$235k per year (from the description)
- Market band for similar posted roles (New York, n 621): p25 $145k, median $180k, p75 $225k

## Description (the employer's text)

Source: Paraform - https://www.paraform.com/share/plastic-labs/cmt95p9s3001m0djrbr4vvj65

Compensation: $190,000-$235,000 base + competitive equity. Relocation support $5K.

Location: Williamsburg, Brooklyn, NY (Domino Sugar Factory) - on-site 5 days/week. Visa: not open to any visas (US citizen / Green Card).

### About this role

Forward Deployed Engineer with 3+ years of experience to own enterprise customer relationships end-to-end, from pre-sales demos to post-sales integration, for Honcho, Plastic Labs' AI memory and identity infrastructure. First dedicated FDE at a fast-growing neolab (50x developer growth in 3 months) that trains its own models and is the #1 trusted memory provider in the agentic AI ecosystem.

### What will you be doing?

Manage enterprise deal flow end-to-end: triage inbound, move customers through the pipeline, deliver on commitments

Build demos and collateral (slide decks, one-pagers, reference integrations) tailored to each customer's vertical and use case

Embed with customers post-sale: audit their codebases and build Honcho integrations directly

Educate enterprise customers on agentic engineering mental models and how to leverage Honcho

Feed customer friction and insights back to the dev team to improve the product

### Tech stack

Python, FastAPI, TypeScript, JavaScript, SQL, REST APIs, Docker, Kubernetes, AWS, GCP, LLMs, Agentic Frameworks

### About Plastic Labs

Engineering-driven AI lab (ML + cognitive science) building Honcho, open-source continual-learning infrastructure for AI memory and identity modeling; trains proprietary models for theory-of-mind identity inference. Backed by Long Journey Ventures, Four Rivers Group, Mozilla Ventures, Greycroft, Betaworks, Differential Ventures, Variant. ~15 people, founded 2023, $9M total funding, Brooklyn.

### Requirements

3-5 years with a solid software engineering foundation, ideally moving into customer-facing work

Comfortable owning pre-sales demos through post-sales integration

Python/FastAPI, TypeScript/JavaScript, SQL, REST APIs; Docker/Kubernetes, AWS/GCP; LLMs and agentic frameworks

High-agency autodidact; generalist

US citizen or Green Card holder (no visa sponsorship); 5 days in office in Williamsburg, Brooklyn

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2780604 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.