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Software Engineer - Marketplace

Afterquery

Company websiteafterquery.com (Afterquery, opens in new tab)

Base salary $250K  to $300K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

About AfterQuery

AfterQuery is an applied research lab curating data solutions for foundation model development. We serve every frontier AI lab with the mission of delivering the best data to power the best models. In doing so, we can make expertise that once took a lifetime to build available to anyone who needs it.

Our customers are the ones building the foundation models themselves and our work sits directly in the loop of how those systems improve. This is a rare opportunity to join a company at a defining moment in AI. Forbes reported that we could be YC's fastest unicorn, reportedly raising at a $3.2 billion valuation. We're based in San Francisco and backed by leading investors including Altos Ventures, BoxGroup, and Y Combinator and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI.

Why Apply

Massive Opportunity: Forbes reported that we could be YC's fastest unicorn, reportedly raising at a $3.2 billion valuation, and we're not slowing down.

Founding Impact: You will own and architect core infrastructure systems that power our platform from the ground up.

Equity & Growth: Competitive salary and meaningful equity. As we scale, you’ll have the opportunity to shape the engineering organization and lead major technical initiatives.

Strong Team: Our founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley — work alongside world-class engineers and researchers.

Overview

Growth Engineering is where engineering meets the company’s most important commercial and user-facing problems. You will build the product systems that help us find, qualify, activate, and retain exceptional experts — and help the teams serving frontier AI labs move faster with better information and less manual work.

This is a hands-on product engineering role for someone with 3–5 years of experience who wants unusually high ownership. You will work directly with Growth, Operations, Design, and the founders, turning ambiguous opportunities into simple, reliable software that drives measurable outcomes.

Responsibilities

  • Build end-to-end product experiences across expert acquisition, onboarding, assessments, matching, activation, and retention.

  • Partner directly with Growth and Operations to identify the highest-leverage bottlenecks, instrument the funnel, and ship improvements quickly.

  • Own experiments from idea through implementation and measurement: define the hypothesis, build the product, assess the result, and iterate.

  • Develop internal tools and automation that make customer-facing and operational teams dramatically more effective without compromising quality or control.

  • Create durable product primitives and clean interfaces rather than one-off workflows; improve existing systems as you touch them.

  • Use data, user feedback, and technical judgment to make clear tradeoffs between speed, reliability, and long-term maintainability.

Required Qualifications

  • 3–5 of professional software engineering experience, ideally building high-velocity product, growth, marketplace, or workflow software.

  • Strong full-stack engineering ability and a track record of shipping user-facing product from ambiguous requirements.

  • Excellent product sense: you can distinguish the real problem from the first requested solution and focus on what will move the metric.

  • Comfort working closely with non-technical partners and translating their needs into simple, robust systems.

  • High ownership, strong judgment, and the ability to move quickly without creating unnecessary complexity.

Preferred Qualifications

  • Experience with growth engineering, marketplace liquidity, onboarding, conversion optimization, or product analytics.

  • Experience at a fast-growing startup or on a lean team where engineers owned both product decisions and execution.

  • Interest in AI, data products, or tools that make complex work more scalable.

Company Benefits (For Eligible Employees):

  • Health Insurance: Medical, Vision, Dental

  • 401(k) with Employer Match

  • Daily Meals: Daily UberEats Stipend

  • Monthly Wellness Stipend

We are an equal opportunity employer committed to providing a workplace free from discrimination and harassment. Employment decisions are made without regard to legally protected characteristics under applicable federal, state, or local law.

We comply with applicable pay transparency requirements and provide compensation ranges based on the position, qualifications, experience, and other relevant factors. Reasonable accommodations are available to qualified individuals with disabilities and for sincerely held religious beliefs, as required by law. This job description is intended to describe the general nature and level of work performed and is not an exhaustive list of all duties, responsibilities, qualifications, or working conditions associated with the position. We reserve the right to modify this job description as business needs change.

Source: Afterquery on Ashby · View original posting (opens in new tab)

This range next to 6 other live Afterquery roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Afterquery roles with the nearest advertised base floor
RolePublished base
Software Engineer - Marketplace (this listing)$250K - $300K
Software Engineer - Platform Infrastructure$250K - $350K
Software Engineer - Platform/Applied AI$260K - $290K
Machine Learning Engineer, Data Privacy & Anonymization$260K - $290K
Software Engineer - RL Environments$260K - $290K
Corporate Counsel$225K - $250K
Senior Software Engineer - Security/Infrastructure$200K - $350K

Same $100K to $400K scale as every card. All Afterquery roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-08-31
Where this pay comes from

Location as the employer wrote it: San Francisco

USD 250,000 – 300,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.