AI Automation Engineer, Quora

$155.7-225.2k

For Canadian candidates, the salary is $188,891 - $234,201 CAD and is dependent on location within Canada; Salary may vary for candidates based in other locations; + Equity for Canadian and US-based applicants

React

JavaScript

Python

Senior and Expert level

Remote from Canada, Germany, UK, US

More information about location

A place to share knowledge

Be an early applicant

A place to share knowledge

1001+ employees

B2CEducationInternet of ThingsLearningSocialMachine LearningProduct ManagementData Integration

Be an early applicant

$155.7-225.2k

React

JavaScript

Python

Senior and Expert level

Remote from Canada, Germany, UK, US

More information about location

1001+ employees

B2CEducationInternet of ThingsLearningSocialMachine LearningProduct ManagementData Integration

Company mission

To share and grow the world's knowledge.

Job

Company

Role

Who you are

This role is ideal for an engineer who’s curious, pragmatic, and motivated by real-world impact - not just research or prototypes
Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
Experience creating LLM-backed tools involving prompt engineering and automated evals
5+ years of experience in full-stack development with strong skills in Python, React and JavaScript
Excellent debugging skills and the ability to manage multiple projects simultaneously
High level of ownership and accountability, especially with sensitive or business-critical data
Strong communication skills and a collaborative mindset
Comfortable working in a fast-paced, sometimes ambiguous environment with shifting priorities
Experience working cross-functionally with teams outside of product development
A natural collaborator who enjoys being a partner and creating utility for others

What the job involves

We’re hiring our first AI Automation Engineer to lead how we apply AI internally across the company. This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal will be to automate as much work as possible, increasing our productivity and improving the quality of our products, decision-making, and internal processes
You’ll work closely with teams across the organization to identify high-impact problems and solve them, continually assessing new potential as frontier model capabilities constantly improve. With access to a wide range of state-of-the-art models via Poe, and an organization focused on AI, you’ll be well placed to experiment, iterate quickly, and launch internal services
You’ll lay the groundwork for how we approach internal AI applications, with a focus on utility, trust, and constant adaptation
Develop and maintain internal tools and systems that automate existing work and increase employee productivity using AI
Use AI as much as possible to automate your own process of creating this software
Collaborate with teams across the business to understand pain points and identify high-impact automation or process improvement opportunities
Rapidly prototype small AI-enabled utilities or automations and deploy them into production swiftly
Supervise the choices AI is making in areas like architecture, libraries, or technologies, and be ready to debug complex systems across frontend and backend services when AI cannot
Act as a high-trust owner of systems that may handle sensitive data or business-critical logic
Work cross-functionally to ensure tools are adopted and deliver obvious value
Stay updated on the latest models and tools, and apply that knowledge to your work

Our take

The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people's heads, or buried in books and papers. Quora is changing this.

For a decade now, Quora has been carefully cultivating an intelligent question-and-answer community; it’s quietly becoming a database of some of the most thoughtful and useful content on the web.

With its steadily increasing number of monthly users and a revenue stream funded by advertising and subscriptions, Quora is now worth over a billion dollars. It is further building on this success with the introduction of AI functionality, which allows subscribers to ask questions to bots powered by OpenAI and Anthropic models.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

7% employee growth in 12 months

Glassdoor (4.5)

Company

Funding (last 2 of 6 rounds)

Jan 2024

$75m

LATE VC

May 2019

$60m

SERIES E

Total funding: $361m

Company HQ

Old Mountain View, Mountain View, CA

Leadership

Adam D'Angelo

(Founder & CEO)

Previously studied Computer Science at Caltech before working for Facebook, becoming CTO in 2006 until he co-founded Quora in 2009.

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