Staff Software Engineer
Moonshot
New York, NY, US
Onsite
2026-07-04
Announced salary
$190,000 - $260,000
Low
$111K
Median
$154K
High
$198K
Market in New York · BLS OEWS 2025
Estimated net pay
$10,895 - $14,392
/month · 31% withheld
after tax & contributions · Single, no dependents
Job description
**Location**
------------
New York City
**Employment Type**
-------------------
Full time
**Location Type**
-----------------
On\-site
**Department**
--------------
Engineering
**Compensation**
----------------
* $190K – $260K • Offers Equity
**Why Moonshot AI?**
--------------------
Imagine websites that **rebuild themselves on autopilot** to sell more, convert better, and grow faster.
At **Moonshot AI**, we’re making that happen — merging **generative AI, large\-scale data pipelines, and experimentation** into a self\-evolving web.
We’re a **well\-funded, very early\-stage startup** with a massive vision. Joining now means you’re not just an employee — you’re helping **set the technical and cultural DNA** of the company. If you’ve ever wanted the autonomy of a founder with the backing of top\-tier investors, this is it.
**What You’ll Build \& Lead**
=============================
As our **Staff Software Engineer**, you’ll be the technical backbone behind Moonshot’s evolution engine \- designing scalable systems, guiding engineering strategy, and mentoring the builders around you.
You’ll balance hands\-on depth with architectural altitude, turning vision into technical reality.
You will:
* **Work at the forefront of generative AI and agentic flows** \- build systems that let AI autonomously reason, experiment, and deploy real changes to the web.
* **Architect the next generation** of Moonshot’s experiment engine \- scalable, observable, fault\-tolerant, built for millions of daily events.
* **Design and evolve our backend infrastructure** across Python (Flask\-RestX), serverless AWS, and data pipelines (ClickHouse, Postgres, Kinesis, Firehose, S3\).
* **Drive technical strategy** \- define our engineering principles, evolve architecture across microservices, ingestion, and LLM\-driven systems.
* **Mentor and multiply** \- uplevel senior and mid\-level engineers through code reviews, pairing, and design docs.
* **Collaborate