Full-Stack Engineer
Company websitedarkroomagency.com (Darkroom, opens in new tab)
Base salary $120K to $160K
Employer-published annual base salary, USD. Advertised base range in New York, NY +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York, NY +1 more
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
All places named
- New York, NY
- New Jersey
About this job
What we're building
We're empowering small teams with technology that makes it easier to market and grow businesses. Our current focus is to help consumer brands shift from "workflow automation" to "agent management" within their marketing operations. Shadow is the AI coordination layer — providing shared AI memory, centralized agent control, and model orchestration for marketing teams.
Why join Shadow?
Product Ownership You'll ship production code daily and help steer key product and technical decisions.
Shape the Engineering Culture You'll influence how we work—tools, processes, standards, and hiring.
Work with Challenger Consumer Brands Talk directly to customers (CEOs, CMOs, VP's) of fast-growing consumer brands—some doing $80M–$500M in revenue.
The agency behind the product
Shadow is built alongside Darkroom — a performance marketing agency that's been operating for 10 years, employs 100+ people, runs 100+ clients at a time, and has worked with over 1,000 consumer brands. The agency is both our proving ground and our first user, which means the data you build with is real marketing data at real volume from day one — not a synthetic demo.
This is a fully remote role supporting a team in the EST time zone (9 AM–5 PM EST).
The role
You'll sit squarely at the intersection of back‑end and front‑end, ensuring seamless integration between APIs, databases, UIs, and ML services. You'll design, build, and scale features end‑to‑end, especially our AI/ML‑powered experiences, while mentoring peers and driving architecture decisions.
Core Tech & Tools
Languages & Frameworks: Python, Node.js, React (TypeScript)
Datastore: PostgreSQL
Cloud & Infra: Google Cloud Platform, Airflow, Terraform, Docker, Kubernetes
ML/AI: LLMs, RAG, prompt engineering
What you'll own
Architect and implement full‑stack features, from database schema to React components, optimized for scale and reliability.
Build and maintain RESTful/GraphQL APIs, data pipelines, and distributed services in GCP.
Integrate, prompt, and debug LLMs and generative AI tools; own RAG or fine‑tuning pipelines.
Ensure front‑end and back‑end systems interoperate flawlessly, minimize friction, optimize data flow, and enforce contracts.
Collaborate with product, research, design, and infra teams to define requirements, iterate rapidly, and ship production‑grade code.
Monitor performance, reliability, and security.
Mentor junior engineers through code reviews, architecture reviews, and shared best practices.
Must haves
5+ years of professional software engineering experience with end‑to‑end ownership in a full‑stack role.
Deep expertise in Python, Node.js, React/TypeScript, and PostgreSQL.
Able to be hands‑on with GCP, containerization (Docker/K8s), and building/supporting high‑traffic systems.
Proven experience integrating AI/ML models (LLMs, NLP, RAG) into production apps.
Familiarity or strong interest in working with MCP servers.
Exceptional problem‑solving skills and a product mindset: you think deeply about UX, performance, and business impact.
You sweat both technical details and end-user experience.
Nice to haves
Experience with multi‑step or agentic AI workflows.
Background in AI infrastructure or tooling companies.
Contributions to open‑source AI/ML projects.
What It's Like to Work at Darkroom
Darkroom is not a typical agency. We are looking for A players who want to build something great. We move fast, think deeply, and expect every team member to bring insight and rigor to everything they touch. We hold a high bar for performance, creativity, and ownership — but we also support each other relentlessly. No egos, no red tape — just world-class talent building something remarkable.
We believe in autonomy with accountability, truth over comfort, and outcomes over optics.
Unlimited PTO + US holidays: Rebooting is part of the work. Take the time you need to stay sharp.
Remote-First Culture: Many roles are fully remote. Employees based in or near our New York or Lisbon HQs are expected to work hybrid with weekly in-office time. Hub locations include the Brazil and Spain.
Health & Wellness: Company-sponsored medical, dental, and vision coverage.
Finances, growth, and retirement: Darkroom offers a robust 401(k) program with company match and profit-sharing opportunities to help you save and grow as the company grows.
Parental Leave: Flexible parental leave to support new parents during this important transition.
Growth: Our interdisciplinary model gives every Darkroomer exposure far beyond their core role. Grow your skills, expand your influence, and stay at the forefront of the industry.
Compensation:
The base salary range for this role is $120,000-160,000 per year. This range represents the anticipated minimum and maximum for this position and applies to candidates based in New York, including New York City, in compliance with the New York State Pay Transparency Law and the New York City Salary Transparency Law. Actual compensation within this range will be determined based on experience, skills, and qualifications. This role is also eligible for performance-based compensation. A summary of benefits is listed above.
Equal Opportunity Statement
Darkroom is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Source: Darkroom on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($120,000) is above 7% of the 954 Software Engineering roles in New York listed on this site; 22 others list the same floor. Their median floor is $175,000; the middle half runs from $145,000 to $200,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingFull-Stack Engineer$120K to $160K
Associate Director, Paid SearchFrom $120K
Associate Director, Paid SocialFrom $120K
Associate Director, ProgrammaticFrom $110K
Director, Growth Strategy - Talent PoolFrom $130K
Director of Accounts - TikTok Shop$130K to $140K
Account Lead, Social Commerce | Talent Pool$105K to $132K
Chart as a table
| Role | Published base |
|---|---|
| Full-Stack Engineer (this listing) | $120K - $160K |
| Associate Director, Paid Search | From $120K |
| Associate Director, Paid Social | From $120K |
| Associate Director, Programmatic | From $110K |
| Director, Growth Strategy - Talent Pool | From $130K |
| Director of Accounts - TikTok Shop | $130K - $140K |
| Account Lead, Social Commerce | Talent Pool | $105K - $132K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-11-04
Where this pay comes from
Location as the employer wrote it: New York • New Jersey
The base salary range for this role is $120,000-160,000 per year. This range represents the anticipated minimum and
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
