Senior Software Engineer at NxT Level
San Francisco, CA
$364,000–$728,000
Aug 14, 2026
San Francisco, CA
Sep 24, 2026
What this job asks for AI summary
A Senior Software Engineer role at a Series D AI-powered go-to-market platform, responsible for designing, building, and operating large-scale distributed backend systems that serve hundreds of thousands of companies. The position involves end-to-end ownership of production systems, work on AI-native agent products, and collaboration across engineering, product, and revenue stakeholders. It suits an experienced backend engineer with a strong distributed systems background who is comfortable with high-ownership, fast-moving environments.
Senior level · 5+ years · San Francisco-Oakland-Berkeley, CA · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 1,400 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (software developers). range 1,050–1,800
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $190,744 (middle half $167,095–$224,501).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 15, 2026. It is a model, not a headcount.
Why we read it this way (5)
No compensation figures are stated in the posting.
The employment type field in the posting reads 'Series D ($200M+ raised) + 200+ employees' — this appears to be a formatting error in the original JD conflating company stage with employment type. The role is treated as full-time based on context.
The full technology stack (React, Ruby, Ruby on Rails, Python, MongoDB, Elasticsearch, Kubernetes, Docker, Terraform, GCP) is listed under a 'Technology Stack' narrative section rather than a requirements block, so all stack items are marked as preferred. Kafka is called out explicitly in the 'What We're Looking For' requirements section and is marked required.
AI agent / LLM experience appears only under 'Bonus Experience' and is marked preferred accordingly.
The 5–8 year range is stated both in the header and in the requirements section; 5 years is used as the minimum.
Read the full posting
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