Product Manager, Neo4j

Aura Graph Analytics

Salary not provided

AWS

GCP

Python

Azure

Spark

Snowflake

Senior and Expert level

London

Remote from Europe, UK

Graph-based data analysis

Open for applications

Graph-based data analysis

501-1000 employees

B2BEnterpriseBig dataAnalyticsData IntegrationData Analysis

Open for applications

Salary not provided

AWS

GCP

Python

Azure

Spark

Snowflake

Senior and Expert level

London

Remote from Europe, UK

501-1000 employees

B2BEnterpriseBig dataAnalyticsData IntegrationData Analysis

Company mission

To help the world make sense of big data by enabling businesses and organizations to harness the power of connections and relationships in data.

Job

Company

Role

Who you are

8+ years of professional experience, including 3 years working in product management roles
Solid understanding of cloud service platforms and their related offerings in data analytics, data science, and serverless solutions
Familiarity with enterprise data volumes and production workloads
Experience with cloud architectures and modern data science programming (ex., Python)
Excellent communication skills, ability to synthesize divergent inputs into requirements
Experience some of the following types of technology: Spark, Databricks, Snowflake, GCP Cloud Run, AWS Lambda, Azure Serverless, and NoSQL databases. (not all required)
Experience working across time zones and with remote teams preferred

What the job involves

We’re looking for an experienced Product Manager for Neo4j’s Graph Analytics offerings in the EMEA region, specifically in Sweden, the UK (England), Germany, France, Spain, Italy, or The Netherlands
This is an opportunity to be on the leading edge of providing data science and analytics capabilities to customers in the cloud
As a Product Manager for Neo4j, you will work with a global team in Europe and the US to lead and accelerate the growth of Neo4j as the company evolves its broader product and solution offering
Working within the Graph Data Science and Aura teams to understand the needs and requirements of existing customers, prospects, and partners
Work closely with the engineering team to provide a delightful end-to-end experience for developers, data analysts, data scientists, and machine learning engineers working on graph technology. This includes integrations with the broader ecosystem of cloud service providers
Understanding and improving serverless cloud offerings for running analytical workloads
Collaborating with product managers in the adjoining database, user tools, and GenAI product teams on product vision, roadmap creation, and execution to deliver new functionality and capabilities
Helping Engineering to understand not only the user requirements but the business reason underlying the requirements and their relative priority
Conducting market research related to data science and serverless data analytics
Up to 20% travel expected

Salary benchmarks

Our take

Innovation in database models has developed gradually over the past decade, from scale-out SQL, to key-value stores. Every now and again, something comes along to change the game, and such is the case with Neo4j.

Offered as either a self-hosted database or cloud service, Neo4j is a graph database development platform that focuses on the connections between individual data entities. This offers insights into how systems, people, locations, and seemingly unrelated data points are related so that users can address complex data questions, such as business recommendations, AI, fraud detection, and more. The company is seen as a leader in graph technology with unlimited scaling, which was demonstrated when, in 2021, it produced a record-breaking graph database with over a trillion relationships.

Graph-based data models are now crucial components for AI and machine learning applications, and Neo4j has achieved an impressive number of funding rounds and amassed hundreds of enterprise customers using its product. These include Airbnb, eBay, Lyft, and NASA, the latter of which used graph database technology from Neo4j during the development of the Orion spacecraft.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

3% employee growth in 12 months

Glassdoor (3.7)

Company

Funding (last 2 of 10 rounds)

Nov 2024

$50m

LATE VC

Nov 2021

$66m

SERIES F

Total funding: $632.5m

Company HQ

Downtown, San Mateo, CA

Leadership

Emil Eifrem

(CEO)

Having studied at Linköping University, they spent over 3 years as Chief Architect at Windh AB, before working as CTO for almost 5 years. They left this position in January 2007 to found Neo4j, where have worked since as CEO.

Share this job

View 24 more jobs at Neo4j