Full Stack Software Engineer, Perplexity AI

Special Projects

$180-240k

React

Docker

Kubernetes

Python

Next.js

Mid and Senior level

New York

San Francisco Bay Area

In office M-W-F

3 days a week in office

Conversational AI-powered search tool

Open for applications

Conversational AI-powered search tool

21-100 employees

B2CArtificial IntelligenceDeep TechMachine Learning

Open for applications

$180-240k

React

Docker

Kubernetes

Python

Next.js

Mid and Senior level

New York

San Francisco Bay Area

In office M-W-F

3 days a week in office

21-100 employees

B2CArtificial IntelligenceDeep TechMachine Learning

Company mission

To advance the way people discover and share information.

Job

Company

Role

Who you are

Experience with Python, Docker, Kubernetes, NextJS, and React
Familiarity with building with developer APIs and running through works in ambiguity
Self-motivated with a willingness to take ownership of tasks
Good quantitative understanding of data and experimentation
Experience running A/B tests with experimentations platforms (Eppo, StatSig)
A passion for shipping quality products
3+ years of industry experience
(Not required but ideal) previously founded and scaled a startup

What the job involves

By joining the Special Projects team, you will be given extreme ownership to deliver new consumer experiences and transform how people search the web and find answers
You will be expected to own projects end to end, to ship fast, and work through obstacles
We are looking for a talented Full Stack Engineer to join our team to help reinvent the future of search and AI assistants
In this role, you'll work on various projects that combine bleeding edge AI, consumer apps, and multi-modal capabilities (text, voice, image, video)
Extreme ownership in delivering high quality customer experiences
Building new 0-1 products with high scale
Working closely with Special Projects, AI, and Data to ship novel products and capabilities to millions of users
Launching new features, experiments, campaigns, and partnerships with massive consumer companies in a fast-moving environment
Collect and analyze performance metrics and user feedback to identify opportunities for improvements, optimizations, and new ways people are interacting with AI
Building delightful and data-proven user journeys for all types of consumer demographics

Our take

As artificial intelligence continues to drive changes in both business operations and day-to-day lives, Perplexity AI delivers an intelligent search engine powered by conversational AI, to improve search outcomes and "unlock the power of knowledge" for all.

Reaching impressive heights of 10 million monthly visits, Perplexity's "ask anything" method of search is clearly a popular one. What sets it apart from other search engines is in its answers, which are concise and fully cited, responding to the user query rather than simply providing a place in which they can scroll to find it themselves.

The company has raised substantial funding, with contributions from former execs at companies like OpenAI, Meta, and Quora, demonstrating the interest that it has drummed up in the space. Having doubled its annual recurring revenue between 2023 and 24, this investment will allow Perplexity AI to continue building out its product, and accelerate growth into the future.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (4.2)

Trustpilot (1.6)

Company

Funding (last 2 of 6 rounds)

Dec 2024

$500m

LATE VC

May 2024

$250m

LATE VC

Total funding: $915m

Company benefits

Equity
Comprehensive health, dental, and vision insurance for you and your dependents
401(k)
Generous home-office stipend

Company HQ

Financial District, San Francisco, CA

Leadership

Aravind Srinivas

(Co-Founder & CEO)

Former Research Scientist at OpenAI, who has interned in Research at Google and Deep Mind. Obtained a PhD in Computer Science from the University of California, Berkeley.

Denis Yarats

(Co-Founder & CTO)

PhD Student in AI at NYU. Former AI Research Scientist at Facebook AI Research, and Staff ML Engineer at Quora.

Johnny Ho

(Co-Founder & CSO)

Previously a Quantitative Trader at Tower Research Capital, and Engineer at Quora.

Andy Konwinski

(Co-Founder)

Co-Founder and Advisor at Databricks. Co-Founder and General Partner at CS Graduate Ventures, and Instructor at the University of California, Berkeley.

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