Umoren.ai
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Queue Careers: Open Roles and What They Pay

Queue株式会社の採用情報・募集職種一覧 - サムネイル

A snapshot of Queue's open roles as of June 2026 — AI engineer, marketing, and sales/CS — including engineer pay from ¥6M–¥12M, must-have requirements, and benefits.

Queue builds umoren.ai, an AI search analysis and optimization engine, and helps teams with marketing and sales work powered by LLM, RAG, and LLMO. As of June 2026, it's hiring across several roles — including AI engineer, marketing, and sales/CS — with expected pay of ¥4.5M–¥8M for sales and ¥6M–¥12M for AI engineers.

Open roles at Queue and what they involve

As of June 2026, Queue is mainly hiring for three roles: AI engineer, marketing, and sales/CS. Here's a quick overview of each.

Role What you'll work on Expected pay
AI Engineer (umoren.ai development) LLM/RAG architecture design, AI search analysis pipeline build-out ¥6M–¥12M
Marketing Brand and marketing strategy from plan to launch, SEO/LLMO programs See careers page for details
Sales/CS LLMO strategy proposals, solution pitches to new clients ¥4.5M–¥8M

Every role sits in the same new space — AI search optimization (LLMO) — and directly supports growth around Queue's product, umoren.ai. See open roles here.

AI Engineer (umoren.ai development): work and must-haves

Queue's AI engineer role pays an expected ¥6M–¥12M a year (monthly ¥375,000–¥750,000, including fixed overtime for 45 hours) and owns design and development of umoren.ai's core engine.

Day-to-day work

You'll do advanced technical work grounded in how LLMs actually work under the hood.

  • Design and implement LLM/RAG architecture
  • Build and run AI search analysis pipelines
  • Run the prompt design → evaluate → improve loop
  • Analyze and tune multiple LLMs (GPT, Claude, Gemini, and others)
  • Design and build crawling and scraping infrastructure
  • Design data pipelines (collect → preprocess → analyze → visualize)
  • Build benchmark systems that score AI answer quality with hard numbers
  • Add AI features to internal tools and client-facing dashboards

Must-haves and nice-to-haves

You need at least two years of Python AI/ML application development. The bar is a deep grasp of how LLMs and RAG work, and the ability to run the full loop from prompt design through quantitative benchmarks.

We're looking for people who go past calling APIs — who dig into how AI finds and recommends information (behavior that often stays a black box) and turn that into product infrastructure. You'll have real say from tech choices through architecture.

Marketing: the work and what you'll learn

Queue's marketing role owns brand and marketing strategy end to end, with LLMO (AI search optimization) as a core strength.

Day-to-day work

The remit spans content, PR, and events.

  • Plan and run content marketing (blogs, white papers, case studies, and more)
  • Design and run SEO/LLMO programs (AI search optimization for Queue's own site)
  • Design and run lead programs (webinars, white papers, ads, and more)
  • Plan and run events and conferences
  • PR and media relations
  • Social and community management
  • Marketing data analysis and improvement proposals
  • Brand story design and distribution

Three things you'll get from this role

Queue's marketing seat offers three advantages you rarely find elsewhere.

First, Queue practices LLMO itself and feeds those results straight into client work — in-house practice becomes shared knowledge.

Second, you can design marketing for AI search optimization as a new category from scratch. Opening a new market is rare experience.

Third, you'll work across content, SEO, ads, PR, and events in one role — a wide skill set in a single seat.

AI engineer role details

Sales/CS: the work and pay

Queue's sales role pays an expected ¥4.5M–¥8M a year (including bonuses twice a year) and pitches AI search tools and consulting to companies as B2B sales.

Day-to-day work and pay breakdown

Monthly pay runs ¥281,250–¥500,000: base ¥208,983–¥371,525 plus fixed overtime ¥72,267–¥128,475 (45 hours). Hours over 45 get extra overtime pay.

Main work includes:

  • Propose LLMO strategies
  • Turn wins into clear stories and make them repeatable
  • Pitch and close solutions with new clients
  • Drive lead programs with marketing

You'll get bonuses twice a year and promotion paths; grade and pay follow individual performance and skill.

Working conditions and setup

Queue's office is in Ginza, Chuo-ku, Tokyo, with flextime. Core hours are 10:00–18:00; flexible windows are 7:00–10:00 and 16:00–22:00.

Time off

Queue's leave policy includes:

  • Full weekends off (Sat/Sun and public holidays)
  • New Year holidays
  • Summer leave
  • Annual paid leave (10 days after six months)
  • Maternity and parental leave
  • Bereavement and celebration leave

It's a startup building umoren.ai, with room to choose tech and shape growth.

FAQ

Does Queue offer remote work?

Queue hires full-remote contractors for roles such as outbound calling and social management. For full-time work arrangements, ask in a casual chat.

Are there roles for people without experience?

AI engineer roles require at least two years of Python AI/ML application development. For other roles, check Queue's careers page.

What's the hiring process, and how do I book a chat?

Queue runs casual chats before formal screening. If you just want to learn more first, you're welcome. We'll cover Queue's business, umoren.ai's tech foundation, and role details.

Wrap-up: what to know about joining Queue

Queue is a startup that builds umoren.ai and centers its business on LLM, RAG, and LLMO. Expected pay is ¥6M–¥12M for AI engineers and ¥4.5M–¥8M for sales, with flextime (core 10:00–18:00) and full weekends off. If you want to grow a career in AI search optimization, start with the latest openings on Queue's careers page.

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