At a Glance
- Tasks: Lead product strategy for Agentic AI, leveraging graph technology to enhance AI applications.
- Company: Join Neo4j, a leader in graph technology and AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Shape the future of AI with cutting-edge technology and make a real impact.
- Qualifications: 8+ years in product management, strong AI ecosystem knowledge, and excellent communication skills.
The predicted salary is between 100000 - 150000 £ per year.
This is a pivotal role, leveraging the unique strength of graph technology to solve the critical challenge in Agentic AI: providing rich, accurate, and connected context. When context is missing, LLMs "hallucinate," agents fail, and enterprise AI stalls. Neo4j's Graph Intelligence Platform is the solution, offering the contextual foundation necessary for reliable reasoning, precise retrieval, and confident action. This insight drives our AI strategy and makes this role one of the most consequential at Neo4j.
As the VP of Product Management for Agentic AI, you will define and execute Neo4j's product strategy at the intersection of graphs and agentic AI. This is a rare opportunity to pioneer a category, shaping how developers, data scientists, and enterprises build AI applications & agents powered by knowledge graphs. You will lead a team of Product Managers, collaborate closely with Engineering, GTM, and Research, and serve as the foremost internal champion and external voice for Neo4j's AI product vision.
Key Responsibilities
- Strategic Product Ownership: Define and own the AI product strategy, clearly articulating how the Neo4j graph platform uniquely enables key enterprise AI use cases, including Retrieval-Augmented Generation (RAG), knowledge graph construction, AI agents, and LLM grounding.
- Team Leadership: Lead and mentor a team of product managers focused on AI-related areas, providing direction, coaching for maximum impact, and ensuring tight alignment between the product roadmap and core business outcomes.
- End-to-End Product Lifecycle: Drive the product lifecycle from initial discovery through launch and continuous iteration. This involves translating complex customer needs, market signals, and technical constraints into clear, prioritized roadmaps.
- Cross-Functional Collaboration: Partner closely with Engineering, Field and Research to bring novel graph + AI capabilities to market, including critical integrations with leading AI frameworks (e.g., LangChain, LlamaIndex) and cloud AI platforms.
- Go-to-Market Strategy: Collaborate with GTM, Sales, and Marketing to shape positioning, packaging, and launch motions that resonate effectively with both technical builders and enterprise buyers.
- Customer & Community Engagement: Engage directly with customers and the developer community to gain a deep understanding of current AI building practices and identify where Neo4j can best remove friction and unlock new value.
- Market Intelligence: Monitor the competitive and ecosystem landscape—including LLM providers, vector databases, AI orchestration frameworks, and adjacent graph players—to identify both opportunities and potential risks.
- External Visionary: Represent Neo4j's AI product vision externally at conferences, in analyst conversations, and with strategic partners and customers. Expected travel: Up to 20%.
Required Qualifications
- Proven Product Leadership: 8+ years in product management, including at least 3 years in a senior or leadership capacity, preferably within a developer-focused or data infrastructure company.
- Deep AI Ecosystem Knowledge: Hands-on experience building with or shipping products that incorporate LLMs, RAG pipelines, vector search, AI agents, or other related technologies.
- Strong Technical Acumen: Comfortable engaging with engineers and architects on complex topics such as graph data modeling, embeddings, retrieval architectures, and ML pipelines. Experience with Python or a similar language is a significant plus.
- Customer Focus: A demonstrated history of using qualitative and quantitative customer signals to drive product decisions that result in measurable business outcomes.
- Exceptional Communication & Influence: The ability to align diverse stakeholders around a compelling vision and clearly articulate complex technical concepts to both technical and non-technical audiences.
- Platform Experience: Understanding of developer adoption curves for new technologies and how enterprise data teams evaluate and deploy AI tooling, specifically within developer and data platforms.
- Modern Data Ecosystem Familiarity: Experience with major cloud platforms (AWS, GCP, Azure) and modern data ecosystems, including data warehouses, ML platforms, and orchestration frameworks.
- Education: A Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
VP, Product Management - Agentic AI in London employer: Neo4j
At Neo4j, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our vibrant work culture encourages continuous learning and professional growth, providing employees with unique opportunities to lead pioneering projects at the intersection of graph technology and agentic AI. Located in a dynamic tech hub, we offer competitive benefits and a supportive environment where your contributions directly impact the future of AI applications.
StudySmarter Expert Advice🤫
We think this is how you could land VP, Product Management - Agentic AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those connected to Neo4j or AI. Attend meetups, webinars, and conferences to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your expertise! Create content around graph technology and AI on platforms like LinkedIn. Share insights, write articles, or even start a blog to position yourself as a thought leader in the space.
✨Tip Number 3
Prepare for interviews by diving deep into Neo4j's products and their applications in AI. Be ready to discuss how your experience aligns with their mission and how you can contribute to their product strategy.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Neo4j.
We think you need these skills to ace VP, Product Management - Agentic AI in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and graph technology shine through. We want to see how you connect with our mission at Neo4j and how your experience aligns with the role of VP, Product Management for Agentic AI.
Tailor Your Experience:Make sure to highlight your relevant experience in product management, especially in AI and developer-focused environments. We love seeing how you've tackled challenges similar to those we face at Neo4j, so don’t hold back on the details!
Be Clear and Concise:While we appreciate creativity, clarity is key! Use straightforward language to articulate your thoughts and experiences. This will help us understand your qualifications and vision for the role without any confusion.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your materials and ensures you’re considered for this exciting opportunity at Neo4j!
How to prepare for a job interview at Neo4j
✨Know Your Graphs
Make sure you brush up on graph technology and its applications in AI. Understand how Neo4j's platform can solve real-world problems, especially around LLMs and agentic AI. Being able to discuss specific use cases will show your depth of knowledge.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading product teams. Think about times when you mentored others or drove a product strategy that resulted in significant outcomes. This role is all about leadership, so make it clear how you can inspire and guide a team.
✨Engage with the Community
Familiarise yourself with current trends in the AI community and be ready to discuss them. Mention any relevant conferences you've attended or communities you've engaged with. This shows you're not just knowledgeable but also actively involved in the ecosystem.
✨Communicate Clearly
Practice articulating complex technical concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders. Prepare to explain how Neo4j’s graph technology can enhance AI applications without getting too bogged down in jargon.
