Full Stack Engineer - Matter
New York, New York County, New York, 10261, USA
Listed on 2026-02-28
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Software Development
Software Engineer
About Darkroom (Parent Company)
Darkroom is the leading next-generation growth marketing firm engineering the brands of tomorrow. Founded in 2017, we set out to redefine what a modern agency could be, by replacing the inertia of legacy advertising behemoths with a model built for speed, intelligence, and measurable impact.
At our core, Darkroom is a human services company powered by Matter
, a universal AI commerce layer that integrates executive-level strategy with proprietary agentic technology. This fusion enables our teams to deliver outsized returns by enhancing creative output, operational efficiency, and revenue generation across every stage of the customer journey.
Our track record speaks for itself:
billions in attributable revenue driven across e-commerce marketplaces, media networks, DTC ecosystems, and social commerce platforms. Every engagement feeds into our proprietary data infrastructure, enabling a continuous feedback loop that accelerates growth, improves margins, and compounds results across our client portfolio.
What began as a boutique design studio has evolved into one of the fastest-growing private companies in America (Inc. 5000) and among the most effective performance media agencies of the 2020s (Varos). Our founders were recognized by Forbes 30 Under 30 for advancing the intersection of technology, marketing, and advertising, cementing Darkroom’s role as a defining player in the future of media innovation.
AboutMatter (Product)
We help consumer brands shift from workflow automation to agent management. Matter is the AI coordination layer for marketing teams — providing shared memory, centralized control, and model orchestration across their stack.
We are building this company on a decade of hands‑on experience serving 300+ consumer brands. Now we’re designing the interfaces that define how marketers work with AI.
About the RoleWe’re looking for a Full‑Stack Engineer to own the systems that make our AI agents actually work — orchestration, execution, and the APIs that tie everything together. This is equal parts architectural rigor and product intuition. You’ll build the backbone of a platform where marketers configure agents, trigger complex workflows, and trust the system to run reliably at scale.
You’ll report directly to the CEO and work alongside a small team of engineers and designers who ship daily, operate with high autonomy, and aren’t afraid to rebuild what isn’t working.
In this role you will:Own full‑stack features end‑to‑end — from database models and APIs to frontend integration and UX correctness.
Design and extend backend systems that power complex agent orchestration — subagents, skills, knowledge base retrieval, parallel execution, and long‑running workflows.
Build and evolve REST APIs that are stable, well‑typed, and easy for the frontend and agents to consume.
Integrate and debug LLM‑powered workflows — prompts, tools, retrieval, evaluation loops — with a strong focus on reliability and observability.
Ensure frontend and backend systems interoperate cleanly: tight contracts, predictable data flow, and minimal friction.
Improve performance, resilience, and security across the stack as usage and complexity grow.
Use coding agents (Claude Code, Cursor, etc.) as force multipliers to move faster and push quality higher.
Collaborate closely with product and design to turn ambiguous ideas into shipped, production‑grade features.
Raise the technical bar through thoughtful code reviews, architectural discussions, and mentorship of junior engineers.
Real product ownership — ship production code daily and influence core system decisions.
Shape the engineering culture — help define standards, patterns, and how we build.
Work on real problems — talk directly to CEOs, CMOs, and VPs at consumer brands doing $80M–$500M in revenue.
High‑trust environment — small team, minimal process, high accountability.
You need stable, long‑term roadmaps — priorities can sometimes shift in 24–48 hour cycles.
You prefer narrowly scoped tickets over owning problems end‑to‑end.
You want heavy Dev Ops support or a large infra team to abstract complexity away.
You’re…
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