Technical Product Manager – Database

The Role –

At Neo4j, we are building the most trusted and widely deployed graph database that empowers organizations to solve the world’s most complex data problems. 75% of the world’s fortune 100 companies use Neo4j for their mission critical applications. A large active community of 230,000 developers, data scientists and architects also use it to expand the limits of graph technology. At real-world scale, Neo4j provides no-compromise performance, reliability, and data integrity.

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. This is an opportunity to evolve a product that users love, in a growing space that promises to be one of the most impactful categories in data and database: graph databases.

What you will bring:
10+ years of professional experience including a minimum of 5 years as a PM, and 3+ years as a PM for Database product
A passion for bringing people together and creating common understanding, experience or desire to lead a team
An understanding of the user journey and buyer’s journey, and getting to the root cause of a need, as inspiration for evolving the product vision
Experience with a variety of product management processes, and opinions about which work and don’t work
Real-world experience with databases, database tooling, and data integration
Good familiarity with the IT trends, and the data and database landscape
Effective communicator, with experience working across multiple time zones

What you will do:
Work closely with Director of Product Management for the Neo4j Database and VP of Products to evolve the product roadmap and vision for Neo4j
Products to evolve the product roadmap and vision for Neo4j
Work with other PMs to create a unified best-in-class experience across all end-user roles.
Help Engineering to understand overall vision, priorities, user requirements and business rationale underlying the roadmap
Understand market directions, working closely with customers to understand their needs.
Measure & assess the progress of the product with respect to goals and vision
Work with user-facing areas inside of the company, including product marketing, developer relations, sales, and field engineering, to build a better product and a better understanding of the product
Neo4j Values:
Our work in Neo4j Engineering is guided by our company values:

(we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’})
(we)-[:ASSUME]->(:Intent {direction:’Positive’})
(we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’})

Why Join Neo4j?
Neo4j is one of the 20 most popular databases in the world, and the leader in the rapidly emerging Graph Database category. We’re building the technology that enables connected data to solve the world’s most pressing problems. You’ll work on unique engineering projects that challenge what’s possible.

We have customers in every industry across the globe, and our products a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics.

We pride ourselves on being a welcoming team. Most of us would agree that one of the best parts of working at Neo4j is the people we get to work with.

We encourage you to apply even if you don’t 100% fit the qualifications above. Why? Because we are committed to building an environment that fosters belonging, which means valuing intellectually honest discussions and being receptive to new ideas and perspectives.

One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience.

About Neo4j:
Neo4j is the leader in graph database technology. As the world’s most widely deployed graph database, we help organizations – including NASA, UBS and Volvo Cars – to reveal and predict how people, processes and systems interrelate. Using this relationships-first approach, applications built using Neo4j tackle connected data challenges such as analytics and artificial intelligence, fraud detection, real-time recommendations and knowledge graphs.

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