Moonshot

Staff Software Engineer

Moonshot
US 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

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