VP Growth – Drive Engagement with Real-Time Personalization
Use Vespa to deploy real-time search, recommendation, and personalization that adapts to every customer interaction. Drive higher engagement and conversion rates while creating more effective, data-driven campaigns. With Vespa’s efficient infrastructure, your team can move faster, optimize budget, and continuously refine customer journeys.

Head of Customer Support – Boost Satisfaction While Reducing Cost-to-Serve
Use Vespa’s Retrieval-Augmented Generation (RAG) to scale GenAI-powered support across your organization’s data and documents—without increasing headcount. Reduce support costs through intelligent automation, enable faster issue resolution, and empower agents with real-time access to relevant information.

VP of Product – Design Better Products
Leverage Vespa Retrieval-Augmented Generation (RAG) to accelerate innovation and deliver smarter, compliant financial products. Unlock insights from your internal data and documents, streamline product development, and personalize user experiences—without compromising control or accuracy.

Chief Risk Officer (CRO) – Maintain a Proactive, Well-Informed Risk Posture
Use Vespa’s Retrieval-Augmented Generation (RAG) to apply GenAI securely across your internal data and documents. Identify emerging risks faster, streamline compliance workflows, and support confident decision-making with real-time access to policies, reports, and regulatory updates.

Chief Information Security Officer (CISO) – Strengthen Security Awareness and Response
Apply Vespa’s Retrieval-Augmented Generation (RAG) to deploy GenAI securely across your organization’s threat intelligence, incident logs, and policy documents. Surface relevant insights in real time, accelerate threat detection and response, and improve access to security protocols—without compromising control or data privacy.

Head of Wealth Advisory – Deliver More Personalized, Scalable Client Experiences
Use Vespa’s Retrieval-Augmented Generation (RAG) and real-time personalization to apply GenAI across client portfolios, market research, and financial product documentation. Equip advisors with intelligent recommendations, automate tailored content delivery, and scale one-to-one experiences—while maintaining accuracy, compliance, and a high-touch advisory model.

VP of People Operations – Improve Access to HR Knowledge and Insights
Power enterprise search across policies, benefits, onboarding materials, and employee feedback in a highly controlled manner. Use Vespa to simplify information retrieval, allowing teams to instantly find accurate, up-to-date information, reduce repetitive HR inquiries, and support more informed decision-making across the organization.

VP of Engineering – Deploy High-Performance, Cost Effective AI Applications at Scale
Vespa is a single, high-performance platform for building, deploying, and operating real-time AI applications—RAG, search, recommendation, and personalization—at scale. Avoid the complexity of managing fragmented systems. With Vespa, your teams move faster, reduce infrastructure overhead, and deliver data-driven experiences that meet the performance, compliance, and scalability needs of modern Fintech.

Head of AI Engineering – Build and Scale AI Applications with Confidence
Vespa offers a unified platform for deploying RAG, semantic search, recommendation, and personalization—powered by real-time inference and ranking. Enable your team to move faster with fewer moving parts, reduce integration complexity, and iterate on AI-driven experiences directly on live data. With Vespa, AI teams deliver scalable, low-latency applications while maintaining full control over models, data pipelines, and compliance needs.

Search Engineer – Power Relevant, Real-Time Search with Geo, Personalization, and Trust Signals

Build smarter, more responsive search and recommendation experiences by combining real-time updates, geographic relevance, and personalized ranking. Vespa’s strong geo-filtering capabilities ensure users see content relevant to their location, while its support for real-time data keeps search results aligned with current products, capital and data assets. With built-in support for personalized ranking, Vespa enables precise, context-aware search at scale.

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Data Scientist – Deliver Smarter Product Rankings with Real-Time, Scalable ML Evaluation

Deliver highly relevant results by enabling real-time evaluation of ML models on every query. Vespa supports deep, low-latency scoring across large data volumes using live signals like user behavior, product metadata, vector embeddings, and text relevance. With robust tensor computation, Vespa lets you implement cutting-edge models, and by running your models and computations directly on content partitions, Vespa eliminates the need to move data—making it possible to scale personalized ranking and search quality efficiently.

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AI Engineer: Power Accurate, Scalable Retrieval for RAG and Beyond

Build accurate, scalable RAG systems and intelligent applications with full control over retrieval, ranking, and delivery. Vespa’s unified platform combines advanced retrieval techniques—including vector search, keyword relevance, and structured filtering—with multi-signal scoring from embeddings, metadata, and behavioral data. Vespa supports multi-vector models like ColBERT, runs ONNX models at query time, and offers fully customizable ranking logic. Designed for production scale, Vespa handles billions of documents and high query volumes with low latency and reliability.

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