Neo4j - AI Tech Lead
Requirements
• Experience: A proven track record as a Senior or Lead Engineer with deep expertise in Artificial Intelligence and Machine Learning. • Technical Depth: Strong experience in designing and deploying AI architectures, with a focus on LLMs, graph-based AI, or complex data processing layers. • Technical Depth: • Strategic Thinking: Ability to bridge the gap between high-level research/vision and production-ready engineering. • Strategic Thinking: • Collaborative Mindset: Experience working closely with Product and Science stakeholders to balance technical debt, innovation, and delivery speed. • Collaborative Mindset: • Leadership Potential: A desire to eventually lead and inspire a team, with the communication skills necessary to coordinate complex technical projects. • Leadership Potential: • Background: Experience in B2B SaaS or high-growth deep-tech environments is highly preferred. • Background: • Italy only: The gross annual salary (RAL) range for this role when based in Italy is €60.000-€75.000. Salary is set individually for each candidate, based on objective, gender-neutral criteria such as experience, skills and scope of responsibility. Contract under the collective bargaining agreement (CCNL Metalmeccanici Industria). This information applies to Italy only. For other countries, please speak with the recruiter. • Italy only:
Responsibilities
• Architectural Leadership: Design the foundations and technical roadmap of the AI layer within the Hume platform, specifically focusing on Hume Maestro. • Architectural Leadership: • Hands-on Engineering: Actively contribute to the codebase, setting the standard for technical excellence, performance, and scalability in our AI components. • Hands-on Engineering: • Collaborative Governance: Work within a shared decision-making structure alongside Product Managers and our Chief Scientist to align technical execution with product vision and priorities. • Collaborative Governance: • Cross-Functional Integration: Partner with the broader Hume team (including front-end and platform engineers) to ensure seamless integration of AI capabilities into the user experience. • Cross-Functional Integration: • Technical Quality: Drive best practices in AI/ML engineering, including model evaluation, deployment pipelines, and maintainable code structures. • Technical Quality: • Future Team Building: As the AI function expands, you will have the opportunity to transition from an individual contributor/lead role into building and mentoring a dedicated AI engineering team. • Future Team Building:
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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