Conversational Analytics Engineer - GCP

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   You'll work alongside multidisciplinary teams of strategists, architects, engineers, analysts, designers and consultants, helping enterprise organisations unlock value through data, AI and modern digital platforms. Our capability is end-to-end; from strategy, discovery and advisory through to architecture, delivery and optimisation. We help clients balance business ambition with technical feasibility, ensuring transformation delivers measurable outcomes, not just great ideas. Working across sectors including financial services, retail, automotive, media, healthcare, public sector and consumer brands, you'll encounter a diverse range of challenges, levels of maturity and transformation priorities. Success in this role requires the ability to adapt your approach to different client environments while maintaining a relentless focus on value and impact. As a Data Director, you'll help organisations define future-state data ecosystems, modernise cloud and data platforms, unlock AI opportunities and build scalable capabilities that drive long-term growth. You're a consulting leader who thrives in complex enterprise environments, helping organisations turn data, AI and technology into measurable business outcomes. You're equally comfortable facilitating C-suite conversations, shaping transformation roadmaps and guiding clients through large-scale change. You combine strategic thinking with hands-on technical credibility. Whether defining a data strategy, designing an operating model, modernising a cloud platform or exploring GenAI opportunities, you stay close to delivery and work alongside architects, engineers and product teams to turn vision into reality. You excel in ambiguity, bringing structure to complex challenges and aligning stakeholders around a clear path forward. You connect business objectives, customer needs, operations, technology and data to design solutions that scale across organisations, not just individual systems. You'll build trusted relationships with senior stakeholders, identify growth opportunities and contribute to new business development, while mentoring and developing consultants, architects and engineers across the wider practice. Most importantly, you're pragmatic. You focus on outcomes over theory, balancing strategic ambition with practical delivery to create lasting impact for clients. Must have qualifications * Proven experience leading enterprise-scale data transformation or AI programmes  * Strong consulting background with experience operating in complex client environments  * Experience shaping modern data strategies, architectures and operating models  * Deep understanding of cloud data ecosystems across GCP, AWS or Azure - GCP experience is essential. * Experience working with modern data platforms and technologies such as Databricks, Snowflake, Fabric or equivalent ecosystems  * Strong stakeholder management and facilitation skills, including experience engaging senior leadership audiences  * Hands-on technical credibility across data engineering, analytics, AI or architecture disciplines  * Experience balancing strategic advisory with practical delivery leadership  * Ability to operate in ambiguity and bring structure to evolving transformation programmes  * Strong systems thinking, connecting business goals, technology, operations and data  * Commercial awareness, including experience contributing to proposals, pre-sales or account growth  * Experience working within agile, cross-functional delivery environments  * Excellent communication and presentation skills  * A collaborative and pragmatic mindset focused on measurable outcomes  If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognise that talent comes in many forms, and we value diverse perspectives and a willingness to learn. Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. The benefits   This is a full time position based in the UK.  Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs  * Learning and development, with access to cutting-edge tools, training and industry experts  Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.  Your application process Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Neo4j

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Role: 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. The annual base salary range for this position based in the United States is listed below. This salary range is an estimate, and the actual salary may vary based on Neo4j’s compensation practices, job related skills, depth of experience, relevant certifications and trainings, in addition to geographic location. Based on the factors above, Neo4j utilizes the full width of the range. In addition to the range below, US employees are eligible for a stock option grant and certain roles are eligible for an annual bonus. Employees in this position are also eligible to participate in the Company’s standard benefit programs, which currently include the following: medical, dental, and vision benefits, 401(k), paid time off, and certain leaves of absence. Annual Base Salary Range for This Role $340,000—$460,000 USD Why Join Neo4j? 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.  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. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Kaisa Technologies AB

Join the Mission At Kaisa, we are transforming life’s most important purchases—like buying a car or a home—into exceptional customer journeys. We believe the future of engagement is driven by AI, but AI is only as powerful as the data it learns from. We are looking for a Senior Data Engineer to lead the charge in building the scalable, high-velocity infrastructure that turns millions of interactions into the fuel for our conversational intelligence products. The Role This is a pivotal position where data infrastructure meets cutting-edge product strategy. As a Senior Data Engineer, you will take full ownership of our data platform, leading the design of pipelines that don’t just power dashboards, but serve as the foundation for autonomous agents and real-time automation. You will be a high-impact architect, mentor, and strategist. What You’ll Do Architect Scalable Pipelines: Design and build robust ETL/ELT pipelines using Python and AWS services to handle high-velocity data. Evolve Data Infrastructure: Drive the evolution of our data architecture, ensuring it scales from today’s needs to the future demands of AI/ML. Collaborate Cross-Functionally: Work closely with Engineering, Product and Business teams to translate high-level strategy into technical roadmaps. Ensure Data Excellence: Define and drive data quality frameworks, automated testing, and validation processes to ensure our "fuel" is always high-grade. Lead Governance & Security: Implement best practices for data modeling, warehousing, and privacy regulations (GDPR) to safeguard sensitive information. Mentor and Influence: Shape team best practices and mentor other engineers, fostering a culture of technical excellence. Who You Are An Established Engineer: You have solid experience building scalable data systems and a deep understanding of data warehousing and governance. Technically Proficient: Hands-on expertise with Spark, Python and AWS (EMR, Redshift, Glue). A "Problem Solver": You enjoy turning messy, raw data into clean, actionable systems and have experience with streaming technologies (Kafka, Kinesis). A Natural Leader: You are confident in technical conversations, able to share context across tech and non-tech audiences, and driven to own your projects. Bonus points if you have: Experience with Infrastructure as Code (Terraform, Kubernetes). A background in data-driven product experimentation or analytics. Experience contributing directly to organizational data strategy. Where You’ll Be Our roots are in Sweden, but our reach is international. This role is based in our Uppsala office, working in a hybrid capacity. We embrace flexible "business hours" because we know that life doesn't always fit into a 9-to-5 box. Kaisa Culture What makes Kaisa a unique place to build a career? Our values aren't just posters on the wall; they guide our daily decisions: Innovate with Agility – We move fast, think creatively, and adapt seamlessly. Win Together – Success is a team effort, and we celebrate it as one. Own It – Accountability drives progress, and we take pride in our work. Champion Sustainability and Diversity – We foster inclusivity and make responsible choices. Spread the Vibe – A positive atmosphere fuels great ideas and connections. About Kaisa Since our inception in Uppsala, Sweden, we have grown to include offices in London and Paris. At Kaisa, we understand that our greatest asset is our talented and diverse team. We believe in creating an environment that fosters personal growth, professional development, and overall well-being. Founded in 2009.