Senior Software Engineer, Algolia

AI Search Personalization

$100-200k

React

GCP

Python

Scala

Java

Ruby

Kotlin

Terraform

Swift

BigQuery

Laravel

Symfony

Golang

Senior level

New York

AI search solutions

Job no longer available

AI search solutions

501-1000 employees

B2BArtificial IntelligenceEnterpriseAnalyticsBusiness IntelligenceAPIeCommerce

Job no longer available

$100-200k

React

GCP

Python

Scala

Java

Ruby

Kotlin

Terraform

Swift

BigQuery

Laravel

Symfony

Golang

Senior level

New York

501-1000 employees

B2BArtificial IntelligenceEnterpriseAnalyticsBusiness IntelligenceAPIeCommerce

Company mission

To help businesses and developers understand their online users and show them exactly what they need.

Job

Company

Role

Who you are

Experience building and operating distributed systems at scale
Experience designing and building data pipelines
Experience designing new applications with reliability, operability, and availability in mind
Experience with Public Cloud Providers such as GCP, AWS or Microsoft Azure
Excellent communication and organization skills
Experience at our current stage and beyond ($50-200M ARR range, high growth, lots of change and building internal infrastructure)
GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment
TRUST - Willingness to trust our co-workers and to take ownership
CANDOR - Ability to receive and give constructive feedback
CARE - Genuine care about other team members, our clients and the decisions we make in the company
HUMILITY- Aptitude for learning from others, putting ego aside

What the job involves

As a senior member of the Data ingestion team, you will have a direct impact on Algolia’s revenue stream.
You will play a pivotal role in architecting and implementing systems that play a central role across all of Algolia’s products. You will also play a role in training/mentoring and leading team members
Build a self-service, scalable and distributed platform that can seamlessly scale to handle billions of records per day
Build data pipelines for collection, storage, processing, and analysis of data
Build integrations with external APIs, connectors and services: eq. Firebase, Shopify, etc.
Work closely with the rest of the R&D team to deliver the tools they need to develop next-generation products

Our take

While in-site searching has been available for some time from web search servers such as Google and Bing, its functionality is limited due to it relying on general web scraping techniques which can miss relevant information. By contrast Algolia indexes only the company's site, allowing its search to serve accurate results extremely swiftly, which helps to drive sales conversions aside from making sites far more usable. The efficacy of this solution can be seen from its customer base of over 10,000 companies including the likes of Slack, Zendesk and Lacoste.

To diversify and increase the product range, Algolia have expanded into other real-time APIs such as product recommendations available for eCommerce websites. With the company performing extremely well over the last few years, Algolia have recruited key senior executives to further its growth. As the company continues to scale it seems likely that an IPO is not too distant a prospect.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

33% female employees

-3% employee growth in 12 months

Glassdoor (3.7)

Company

Funding (last 2 of 7 rounds)

Jul 2021

$150m

SERIES D

Oct 2019

$110m

SERIES C

Total funding: $334m

Company HQ

Barron Park, Palo Alto, CA

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