Senior Software Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Early From the posting source checked Jun 20, 2026

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Software Engineer New York City, New York, United States 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 & Achieve As our Senior Fullstack Engineer, you'll be hands-on across the stack - designing, building, and scaling systems that power our AI-driven platform. Expect autonomy, speed, and a ton of ownership. - Architect and build scalable systems - from backend APIs to frontend dashboards - that process tens of millions of web events per day. - Design large-scale data infrastructure that explains how websites are built, why they perform the way they do, and how to optimize them. - Train and integrate LLMs into production to automatically hypothesize, generate, and validate website variants. - Shape engineering culture & practices - your fingerprints will be all over our tech stack, architecture, and team processes. - Experiment, prototype, and iterate - research + product + AI + scale, all at once. This isn't about maintaining yet another SaaS app - it's about building an AI engine that redefines how digital products

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