Neo4j - Software Engineer – Product Analytics Platform
Requirements
• Strong backend software engineering experience, with Go as your primary language, building and operating APIs, services, or ingestion systems that other teams depend on. • Experience designing well-defined APIs and integration contracts, including thinking about schemas, backwards compatibility, validation, and how other engineering teams will consume them. • Experience building production services in Go, from smaller utilities and scripts through to larger, long-running services or microservices. • Some experience with TypeScript or JavaScript and an ability to work comfortably in a codebase that spans backend and frontend technologies. This is primarily a backend role — you won't be responsible for UI development. • Familiarity with event-driven systems, data ingestion, or data pipeline tooling such as Segment, BigQuery, or similar. • Ability to work independently in a new area, make pragmatic technical decisions, and drive work forward with limited direction. • Comfortable writing RFCs and technical documentation, and working across teams to establish and drive adoption of a new integration point. • Clear, concise communication — a lot of this role involves defining contracts, documenting decisions, and helping other engineers integrate with what you build. • Experience with observability, including tracing, logging, and metrics. • Experience integrating with GCP, AWS, or Azure. • Experience working with product analytics, event tracking, or telemetry systems.
Responsibilities
• Design, build, and operate the Analytics API and the underlying infrastructure, defining the schema and integration contract used by teams across Aura. • Make pragmatic architectural decisions around event ingestion, data contracts, reliability, and scalability as the platform grows. • Build a simple, well-defined integration layer that makes it easy for product teams to send analytics events without coupling them to the underlying data infrastructure. • Drive adoption across the Engineering organisation, working with teams to integrate with the API and providing the guidance and documentation they need. • Keep product analytics and billing concerns cleanly separated, even where the underlying data flows or infrastructure may be similar. • Evaluate build vs. buy across the existing analytics and data stack, including tools such as Segment and BigQuery, keeping the API focused on collection rather than reimplementing downstream capabilities. • Partner closely with the team building the downstream data pipeline to ensure raw events are reliable, well-structured, and usable for analytics. • Define and evolve the platform through RFCs, technical documentation, and close collaboration with Product Management and other engineering teams.
Benefits
• Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. • Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. • Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. • 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others. • Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. • Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. • A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. • Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.
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