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AfterQuery

LLM app development platform with observability

Strategic Projects Lead

Project ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 2 years of experience in a top-tier client-facing role such as investment banking, consulting, or private equity; alternatively, experience as an ex-founder or in the human-data industry.
  • Demonstrated ability to take initiative, work with minimal direction, and execute effectively in ambiguous situations.
  • Passion for AI and interest in entrepreneurship, with willingness to experiment with new tools.
  • Demonstrated past success in competitive settings.
  • Strong leadership experience and written and verbal communication skills.
  • Ability to perform in fast-moving, high-impact environments with a bias toward action and attention to detail.

Responsibilities

  • Work with leading AI organizations to build next-generation data solutions and directly drive revenue.
  • Lead and coordinate specialized contributors across domains such as finance, software engineering, and law to produce high-quality outputs at scale.
  • Design dataset specifications that influence how frontier models are evaluated and improved.
  • Own critical projects from scoping through execution, iteration, and delivery in a fast-moving, high-stakes environment.
  • Support operational initiatives across multiple parts of the business, including building, analyzing, coordinating, and executing as needed.

Desired Qualifications

  • Technical skills such as coding, scripting, or working with data, or experience using AI tools to automate workflows, conduct research, or build products.
  • Experience with Claude Code.

About the Company

AfterQuery

LLM app development platform with observability

AfterQuery provides a data platform for developers to build, evaluate, and monitor LLM-powered applications. It connects to enterprise data sources like Notion, Slack, and databases and prepares data for use in Retrieval-Augmented Generation (RAG). It offers evaluation tools to test models before deployment and observability to monitor performance, costs, and issues such as hallucinations and prompt drift in production. Its end-to-end, data-centric workflow targets production-ready AI solutions for enterprises, backed by YC.

Company size
201-500
Company stage
Series A
Total funding
$30.1M
Headquarters
San Francisco, CA
Founded
2024

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