Customer Solutions Strategy Lead in Amsterdam

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. IN THIS ROLE YOU GET TO: Build revenue pipeline by setting introductory meetings with target influencers and key decision makers Research and build new and existing accounts through rigorous outbound calling efforts and by creating/executing strategic email and social campaigns Perform analysis of inbound and outbound prospects’ business and engage with these prospects by phone and/or email Apply effective communication skills, collaborating directly with customers, sales and cross functional teams Work in a fast-pace environment, take the initiative to get stuff done, try new things and amplify your successes by sharing your findings with your team Attend sales meetings, trainings, and local trade shows to keep current with technology and ecosystem ON DAY ONE WE WILL EXPECT YOU TO HAVE: University degree from an accredited institution A passion for technology and software sales, 1-2 years of customer facing experience is preferred Ability to develop strong, long-lasting relationships (both internal and external) Ability to manage time effectively, work independently, and be self-motivated The ability to thrive in a company environment of rapid change; reacting to management initiatives; taking the "customer view"; adopting customer corporate ‘perspective’; accepting change

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. What We're About At its core, the Deployment Strategist role centres around leveraging data in operational and real-world action. Our customers come to us with a hunch that the only way to protect their troops, manufacture high-quality products, structure effective healthcare policies, or deliver aid to refugees safely is to make better use of their data. Deployment Strategists are responsible for turning that hunch into reality. If you believe in the transformational power of data and technology and in your own ability to bring that power to bear against complex problems, we want to meet you. What We Do As a Deployment Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy software against the most challenging problems our world faces. Your mission is to synthesise disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be. Deployment Strategists are do-ers who immerse themselves in our customers' most intricate workflows, partner with customer teams and explore the data, and dive into the product landscape to enable us to scale. A select number of Deployments Strategists may also be deployed to Palantir internal teams and problems. In this role, the problems you'll tackle will require a curious and analytical mindset, a sharp intuition for product, and a strong degree of user empathy to ultimately empower our customers to make better decisions.

SLSQ427R332 Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. As an Enterprise Account Executive at Databricks, you come with relevant experience selling to Enterprise accounts. As a successful candidate you are a self-starter who understands the consumption sales process. You know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. You will be offered huge potential for career progression with the pace of the team's growth. You will report to the Sales Director for Enterprise Sales Benelux. The impact you will have: Assess your territory and develop a successful execution strategy Drive quarter-on-quarter consumption growth in existing accounts Exceed activity and quarterly revenue targets Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce Identify new use case opportunities and showcase value to existing customers Promote the value of the Databricks' Data Intelligence Platform Ensure 100% satisfaction among all customers What we look for: Good understanding of the data platform and cloud ecosystems Some exposure to the software industry and understanding of selling SaaS, Data and Business Value Experience growing consumption and closing commit deals in a direct sales role Competent with prospecting research and ability to map out key stakeholders Advanced understanding of MEDDPICC Experience exceeding sales targets/quotas Bachelor's Degree or relevant work experience Fluency in English is require

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Value Engineering is responsible for our largest Fortune 500 customers and owns their transformation journey by working on the very frontier of what’s possible with data and AI on the Celons Platform. Partnering closely with the Sales team, Value Engineering is responsible for ensuring that the Celonis Platform is deployed to tackle the most strategic business challenges, fits into the right place in our customers’ technology stack and most importantly generates strong ROI through deep and broad deployments. The Role: As a Principal Value Engineer, you are a visionary leader and industry authority spearheading global AI and data-driven business transformations for major organisations, driving the customer’s end-to-end value journey. Operating as the expert technology and business advisor, you will partner directly with Fortune500 CxOs and Board members to reimagine their operating models and optimize critical workflows using the Celonis Context Model. As the AI strategist and thought leader, working alongside Senior and Lead Value Engineers, your core mandate is to design, negotiate, and steer monumental, multi-year programs that permanently alter the competitive landscape for your customers. The work you’ll do: Value Sell

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with

Why project44? At project44, we believe in better. We challenge the status quo because we know a better supply chain isn't just possible—it's essential. Better for our customers. Better for their business. Better for the world. With our Decision Intelligence Platform, Movement, we're redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward. Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose. AI at project44 We expect every project44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers. If you're driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. Role Overview As a Managed Service Manager , you will play a highly visible role partnering with business leaders, customers and carriers to ensure world class delivery across a diverse portfolio

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. What you’ll do at Jamf At Jamf, we empower people to be their best selves and do their best work. The Channel Account Executive will help grow Jamf's Benelux business through Channel Partners to ensure our partners can meet or exceed pipeline, bookings, retention and on-time renewal targets. We want somebody who can quickly become a genuine Jamf evangelist and subject matter expert, conveying the value of our Whole Product Experience to sales teams within our channel, and supporting growth with new and existing channel partners. This role is hybrid from Amsterdam Zuid when not traveling in the Benelux area. We are only able to accept applications for those based in the NL or have sponsorship to live and work in the NL #Li-hybrid What you can expect to do in this role Develop and execute channel business plan to scale and grow business rapidly with key stakeholders at Apple, as well as existing and development partners in UK and execute at or above assigned quota levels. Deliver the Jamf Partner Program and ensure the right execution with your partners including sales readiness training Maintain high-level relationship with your champion and C-Level contacts within the partner organization. Works together with key roles such as Sales, Marketing, and Professional Services within partner entities to ensure that vertical offerings are understood and brought to market. Working closely wi

P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform. We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats. We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs. The Impact you will have: Solve real business needs at large scale by a

P-1452 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As a Product Management Intern, you will join a team that works diligently to understand and solve our customers' most challenging problems . You will learn how to be a successful PM at a high-growth enterprise technology company that operates at the important intersection of data and AI. You will have a dedicated mentor and will join our 2027 intern cohort where you'll connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company. This is a 12 week paid summer internship program in either Amsterdam, Berlin and Belgrade. The impact you will have: Work with a team to build features for the Databricks platform Manage your project end-to-end, including design, code, and feedback Learn about building a platform that scales quickly while maintaining quality and security What we look for: Pursuing a degree in computer science or related engineering subject You have some experience with SQL and/or Python You use analytical skills to make data-driven decisions (e.g. analyze product usage) You can make complex topics simple and clearly communicate nuance to partners (engineers, customers, field, etc.) in both written and verbal form You are excited to solve ambiguous problems with a collaborative team About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices aro

P-1453 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As an Associate Product Manager, you will join a team that works diligently to understand and solve our customers’ most challenging problems. We're hiring across all of our teams, including Machine Learning, Unity Catalog, Databricks SQL, ETL, Streaming, EDA, and Content Organization. You will have a dedicated mentor and will join our 2027 APM cohortwhere you'll connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company. We are hiring for Amsterdam, Berlin and Belgrade The impact you will have: Work with a team to build features for the Databricks platform Manage your project end-to-end, including design, code, and feedback Learn about building a platform that scales quickly while maintaining quality and security What we look for: You will graduate between Fall 2026 and Summer 2027 with a bachelors or masters degree in computer science or related engineering practice You have some experience with SQL and/or Python You can leverage analytical skills to make data-driven decisions (e.g. analyze product usage) You are able to make complex topics simple and clearly communicate nuance to stakeholders (engineers, customers, field, etc.) in both written and verbal form You are excited to solve ambiguous problems with a collaborative team About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquar

About the Role Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the [Together GPU Clusters](https://www.together.ai/gpu-clusters) flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together's inference, RL, and fine-tuning products. As a Staff Software Engineer focusing on AI Compute in the Together Cloud org, you will set technical direction for and build major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware: GB300s/VRs, BlueField DPUs, InfiniBand and dual/quad-plane RoCEv2 fabrics. That virtualized computing platform powers our own SaaS products – inference, RL, and fine-tuning – and serves external cloud customers through self-serve offerings such as on-demand/reserved Kubernetes/Slurm clusters, across dozens of data centers and hundreds of thousands of GPUs. This is an architect-and-build role. Fully automated bootstrapping of GPU data centers, high-performance virtualization of GPU compute and DC networking without compromising isolation or portability, and fault-tolerant decentralized control planes — you'll set the architecture for these across our global and in-DC services, and be a key owner of the hardest parts, in the code as well as the design. Your designs will span the IaaS layer of a greenfield Vera Rubin data center up to the global management plane that schedules capacity across all of them. At this level the job is as much leverage as code: the standards you set and the engineers you grow decide how fast the rest of Together Cloud ships. Responsibilities Own the GPU and network virtualization stack: the hypervisor, kernel, and SDN work that keeps

About the Role Lead a team of AI Infra (Systems Engineers) at Together based out of our office in Amsterdam, you and the SRE team are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. Responsibilities Be on an on-call (PagerDuty) rotation to respond to incidents that impact availability Manage, develop and coach the SRE Team. Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users Build monitoring systems to ensure the highest quality service for our customers Design and implement operational processes (such as deployments and upgrades) Debug production issues across all services and levels of the stack Identify improvements for the product architecture from the reliability, performance and availability perspectives Plan the growth of Together AI’s infrastructure Requirements 7+ years of professional SRE or related experience Ideally 2 years as a Lead SRE Bachelor's degree in Computer Science or a related field or equivalent work experience Expert knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes Proficiency in programming/scripting languages Direct experience in monitoring and observability practices Advanced knowledge of cloud services Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tu

About the Role Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the [Together GPU Clusters](https://www.together.ai/gpu-clusters) flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together's inference, RL, and fine-tuning products. As a Senior Software Engineer focusing on AI Compute in the Together Cloud org, you will build and own major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware: GB300s/VRs, BlueField DPUs, InfiniBand and dual/quad-plane RoCEv2 fabrics. That virtualized computing platform powers our own SaaS products – inference, RL, and fine-tuning – and serves external cloud customers through self-serve offerings such as on-demand/reserved Kubernetes/Slurm clusters, across dozens of data centers and hundreds of thousands of GPUs. The hard problems in rapidly scaling heterogeneous GPU fleets are software problems: fully automated bootstrapping of GPU data centers, high-performance virtualization of GPU compute and DC networking without compromising isolation or portability, and fault-tolerant decentralized control planes. We solve them by building global and in-DC services, Kubernetes operators, and high-performance SDN libraries, forking hypervisors and Linux kernels, and building infra tailored to inference and fine-tuning. You'll own massive greenfield projects across their full lifecycle – scoping the problem and writing PRDs with our PMs, designing the system, and building it through to GA launch. Responsibilities Build the GPU and network virtualization stack: the hypervisor, kernel, and SDN work that makes GPU compute and DC networking high-perform

About the Role At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale. If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk. Hybrid at our office in Amsterdam or Remote in the UK. Responsibilites Design and build fleet automation systems that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention. Build AI Infrastructure Agents that automate deployment, root-cause failures, incident triage, and autonomous remediation. Develop Fleet Intelligence platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers. Build software that maximizes GPU availability, utilization, performance, and reliability across thousands of accelerators. Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads. Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations. Continuously improve deployment velocity, reliability, and operational efficiency through automation. Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure. Requirements 3+ years building distributed systems, infrastructure platforms, or large-scale backend software. Strong software engineering skills in Python, Go, or Rust . Experience building platforms, automation systems, or developer infrastructure. Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies. Strong systems thinkin