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GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Overview of the Role As the Manager, Solutions Architecture - UK/I (Pre-Sales) at GitLab, you'll manage a distributed team of Solutions Architects working with customers across the UK and Ireland, with scope to grow into additional countries within the region over time, such as Sweden and the Netherlands. In this player-coach role, you'll guide technical strategy across complex sales motions while also stepping directly into high-impact opportunities to help your team secure technical wins and build customer confidence in GitLab's platform approach. At GitLab, we work at the intersection of technical sales strategy, team development, and operational scale, and you'll help translate customer requirements into clear business outcomes. You'll partner closely with regional go-to-market counterparts and cross-functional teams including Sales, Channel, Marketing, Sales Enablement, Product Management, and the global Solutions Architecture team. In our all-remote environment, you'll help shape how we grow the Solutions Architecture organization across UK/I by building strong operating rhythms, strengthening executive relationships, and creating the conditions for your team to do their best work. This role suits someone who combines technical depth, strong judgment, and a hands-on approach to winning business and scaling teams. Some of the types of projects you'll work on: * Running technical evaluations, executive workshops, demos, and proof-of-concept engagements that help customers map GitLab's DevSecOps platform to their business goals * Building regional operating practices that improve team execution, strengthen cross-functional alignment, and scale the impact of Solutions Architects across UK/I What you'll do * Manage a team of intermediate and senior Solutions Architects across the UK and Ireland, with scope to expand into other countries within the region such as Sweden and the Netherlands as the team grows, setting clear direction and enabling high-quality execution across UK/I. * Act as a player-coach by partnering directly on strategic opportunities, building executive relationships, and coaching your team through complex sales cycles to help secure the technical win. * Guide regional strategy for technical evaluations, workshops, demonstrations, and proof-of-concept engagements, ensuring customer needs are translated into meaningful technical and business outcomes. * Work cross-functionally with global Solutions Architecture, Sales, Channel, Marketing, Sales Enablement, and Product Management to align on priorities and execute against regional goals. * Manage dotted-line relationships with Channel Solutions Architects and subject matter experts, driving accountability, collaboration, and alignment around common goals. * Maintain strong operational discipline across workload planning, resource allocation, headcount planning, opportunity forecasting, and field execution. * Define and track key performance indicators for the team, communicating progress, risks, and priorities clearly to your team, peers, and senior stakeholders. * Hire, develop, and retain high-performing Solutions Architects while strengthening team capability, encouraging innovation, and building a scalable regional organization for future growth. What you'll bring * Experience managing technical teams in software or technology sales, pre-sales, consulting, or a related environment, with direct exposure to the UK and Ireland; exposure to other European markets such as Sweden or the Netherlands is a plus, given the scope for the role to grow into these countries over time. * Strong background in solution architecture or comparable practical experience, with the ability to relate technical depth to customer business value and apply transferable experience from adjacent domains while learning GitLab and related tools. * Proven success developing, mentoring, and scaling Solutions Architecture practices or similar customer-facing technical organizations in growing businesses. * Strong communication and technical presentation skills, with the ability to engage effectively across cultures and with both technical and business stakeholders. * Demonstrated business acumen and sound judgment, balancing technical excellence with commercial outcomes and regional priorities. * Track record of influencing cross-functional stakeholders and building strong partnerships across Sales, Channel, Marketing, Enablement, Product, and other senior stakeholder groups. * Experience building inclusive, high-performing teams and creating clear, accountable operating practices in a distributed or remote environment. * A genuine curiosity for AI, with a habit of weaving AI tools into your own day-to-day work to move faster and think sharper, and an eye for how that same mindset can be turned outward to deepen and elevate customer engagement. * Ability and willingness to travel in line with business needs and GitLab's travel policy. * We are currently only able to accept applicants based in the UK or Ireland #LI-CM1 About the team The Solutions Architects team at GitLab is an established technical partner for the field, and we help customers and internal teams see the value of GitLab's platform approach during complex engagements. We combine technical credibility, customer confidence, and strong business partnership to enable success across the customer journey. Our work helps turn technical validation into confidence, momentum, and long-term value for prospects, customers, and partners. We also play an important role in linking the field to the rest of GitLab. By working closely with go-to-market and product organizations, we surface customer feedback that informs conversations about product direction, enablement, services, and messaging. As a globally distributed team, we rely on clear communication, consistent ways of working, and thoughtful collaboration to help customers across multiple regions and functions. We are focused on strengthening regional execution, building scalable practices for technical engagement, and helping GitLab grow through consistent, high-quality customer experiences. We're an important team for GitLab's continued growth because we combine team direction, technical expertise, and operational rigor in a way that helps the business scale while staying close to customer needs. HOW GITLAB WILL SUPPORT YOU * Benefits to support your health, finances, and well-being * Flexible Paid Time Off * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental leave * Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES * Benefits to support your health, finances, and well-being * Flexible Paid Time Off * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. ---------------------------------------------------------------------------------------------------------------------------------- Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. Our Payment Solutions team is the engine behind this, processing billions of transactions while empowering businesses to create seamless payment experiences. As Adyen and our merchants scale globally, the complexity and volume of our operational knowledge are growing exponentially. Senior Software Engineer AI/ML - Payments To position our Payments organization at the technological forefront, we are establishing a GenAI team focused on identifying high-impact use cases for automation through agentic capabilities. As a Senior Software Engineer AI/ML, you will undertake some of the most technically demanding work in applied AI: designing agents that reason over complex, multi-step tasks, building the infrastructure to ensure production-grade reliability, and shaping how humans and AI collaborate at scale within a global payments company. This is not a narrow research role. You will take full ownership of your work, from early research through deployed production systems, influence the team's technical direction, and act as a force multiplier for the broader AI organization, including contributing to custom model development for structured financial data, and working toward our longer-term ambition of defining how humans and AI collaborate at scale across the company. What you’ll do: * Discover and Build: You will be an explorer within Adyen, proactively engaging with product and engineering teams to uncover their most critical challenges. You won't wait for instructions; you'll find high-impact opportunities and rapidly design and build AI prototypes (MVPs) to demonstrate value. * Develop Strategic AI Products: You will own the end-to-end development of bespoke AI tools that solve problems unique to Adyen's scale. Whether it's optimizing merchant experience, enhancing pricing models, or improving internal workflows, you will build intelligent solutions. * Own Evaluation and Benchmarking: Define and lead the evaluation strategy for the agentic systems and LLMs your team builds and deploys. Design internal benchmarks grounded in real domain complexity, probing for genuine capabilities, edge cases, and failure modes that standard metrics miss. Build reusable evaluation infrastructure that is embedded in the development process, not bolted on after the fact. * Provide AI Expertise Across the Organization: Serve as a technical resource for AI initiatives across Adyen - evaluating agentic frameworks, retrieval and search strategies, or agent tool-use approaches across partner teams. Surface connections across initiatives and help teams avoid duplicating work or converging on the wrong approach. * Raise the Bar: Set engineering standards for the team and company. Provide mentorship through problem decomposition, research methodology, and code review. Champion reproducibility, documentation, and rigorous evaluation practices across the AI organization. Who you are: * You have 7+ years of hands-on experience in applied AI/ML research or engineering, with a clear track record of shipping AI systems, including agentic or LLM-powered systems, in production environments. * You have deep expertise in language models and Generative AI, with hands-on depth across several of: architecture, post-training (fine-tuning, RLHF), inference optimization, context engineering (RAG), and failure modes at scale. * You have proven experience designing and operating agentic systems at scale, multi-agent orchestration, tool use, memory and context management, state handling for long-running workflows, and human-in-the-loop design. You understand what separates production agents from research prototypes. * You are rigorous and systematic about evaluation. You have designed evaluation frameworks or internal benchmarks that go beyond standard metrics. You understand the failure modes of LLM-as-judge approaches and know how to measure what actually matters for a given system and use-case. * You have a strong foundation in classical machine learning: supervised learning, ensemble methods, optimization, probabilistic modeling, and statistics. You reach for the appropriate tool for the problem. * You write clean, well-structured, production-ready code, primarily Python, and you hold research code to an engineering standard. * You have hands-on experience with at least one production-grade agentic framework. Nice to Have (tell us about them!) * Familiarity with financial data, payments, fraud detection, or risk systems. * Track record of external visibility: publications, conference presentations, or open-source contributions. * Experience with observability and evaluation tooling. * Familiarity with MLOps and model deployment pipelines in large-scale environments. Our Diversity, Equity and Inclusion commitments Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Engineering Manager - Infrastructure Services We're looking for an Engineering Manager to lead our Adyen Cloud Services (ACS) Team within the Platform Engineering organization in Bengaluru. This team owns and operates Adyen's core container orchestration and traffic management infrastructure, the foundation that keeps our global payment platform running. In this role, you will drive technical strategy, build a high-performing team, and shape the evolution of our platform as Adyen continues to scale globally. WHAT YOU'LL DO * Lead and grow a high-performing infrastructure team: Manage platform and infrastructure engineers across all levels, owning day-to-day operations, planning, and hiring in Bengaluru and in coordination with other tech hubs. * Bring structure and process to execution: Introduce and refine operational processes that improve incident response, change management, and predictable delivery for mission-critical infrastructure. * Foster a culture of technical excellence: Drive globally optimized technical decisions with a focus on automation, partnering with other leads to evolve container orchestration, traffic management, and infrastructure tooling. * Scale for massive growth: Guide the team through platform modernization, multi-region resilience, and architectural evolution while owning the operational realities of bare-metal infrastructure and datacenter dependencies. * Integrate platform best practices: Ensure reliability, security, and observability are embedded into how teams consume infrastructure offering a "golden path" for engineers to deploy and operate services. WHO YOU ARE * Experienced engineering leader: Proven track record managing and growing high-performing teams in platform, infrastructure, or SRE domains. 8+ years in engineering, with 3+ years in leadership roles. * Infrastructure domain expertise: Deep understanding of container orchestration (Kubernetes), traffic management (load balancers, DNS), and on-prem/bare-metal operations. Hands-on experience running large-scale, highly available production infrastructure. * Technical leader with a strong engineering perspective: You shape technical direction, improve reliability and performance, and ensure solutions are scalable and maintainable with a focus on automation. * Hands-on when needed: While this is a management role, you're comfortable in technical discussions to guide your team and ensure sound decisions, and can partner across infrastructure and development teams to diagnose and resolve issues when needed. * Nice to have: Prior experience in FinTech or regulated industries where reliability and security are paramount. Familiarity with infrastructure-as-code, GitOps, and building automation for provisioning and lifecycle management. Our Diversity, Equity and Inclusion commitments Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. This role is based out of our Bengaluru office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.
CSQ427R196 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritised customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers * Programming experience in Python, Spark and Databricks (or similar data platform) * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
CSQ427R31 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritised customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers * Programming experience in Python or Spark * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
IT-bemanning är ett Stockholmsbaserat IT-konsultföretag, specialiserat på att leverera kvalitativ kompetens inom området IT-support, IT-drift samt IT-rekrytering. Vi är ett personligt IT-konsultföretag som värdesätter den enskilda konsultens egenskaper. Har du de rätta egenskaperna - social, driven och tävlingsinriktad så kan vi ge dig de rätta förutsättningarna för ett roligt, stimulerande och utvecklande arbete som konsult hos någon av våra kunder. IT-bemanning är ett dotterföretag till IT-konsultföretaget Xperta AB och som är specialiserade inom området IT-infrastruktur. Om uppdraget Become part of the Flexibility (VPP) team, which builds a state-of-the-art virtual power plant solution based on pooling fl exible residential DERs (e.g. batteries and EVs). By utilizing accurate forecasts and intelligent control, this solution unlocks the direct market participation of household DERs in a robust way. This service, which employs both deterministic steering and data-driven forecasting algorithms, is continually being enhanced and scaled to keep pace with the ever-increasing number of customers using this service. The Flexibility team is looking forward to growing together with you and bringing this feature to many more customers. Experience & Mindset ● Production-Grade Track Record: You have hands-on experience working on real-world projects with a proven history of delivering robust data solutions into production. ● Focus on Stabilization: You take full ownership of system reliability, actively monitoring and stabilizing workfl ows to ensure continuous, high-quality operations. ● Time-Series Expertise: You are comfortable working with large-scale time-series data and deeply understand the unique structural and processing challenges it presents. Technical Skills & Core Stack ● Programming & Data Wrangling: You have solid experience writing clean, maintainable code for complex data manipulation and transformation tasks. While our forecasting ecosystem relies on Python, Polars, and Pandas, at gridX, our main programming language is Go. Strong profi ciency in equivalent languages or data wrangling frameworks is highly welcome. ● Database Mastery: You command strong SQL skills. We rely heavily on ClickHouse—experience here is a highly valued asset. ● Cloud & Infrastructure: You have practical experience provisioning and managing scalable infrastructure using AWS, Kubernetes, and Terraform. MLOps & Orchestration ● Workfl ow Management: You are experienced in building and orchestrating complex data pipelines and ML workfl ows. We utilize Metafl ow, Argo, and MLfl ow, but practical experience with any comparable orchestration and model lifecycle tools is fully transferable. ● Rigorous Validation: You thoroughly test, validate, and benchmark models and data products prior to deploying them into live environments. ● Observability: You maintain clear visibility over production systems and possess practical experience setting up metrics and alerting dashboards using Grafana. Välkommen med din ansökan!
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a founding member of the Security Operations team in EMEA, you will join us at an exciting time in Roblox’s SIRT & SOC program. You will design and build the detections, automation and tooling that let a lean team monitor and protect players, developers, employees and the platform at global scale and serve as security incident commander in the region. This is a highly autonomous role where you will be a primary decision-maker, core to our mission to maintain a highly capable 24/7/365 monitoring and response capability. While you will work in close collaboration with peers at our US West Coast Headquarters, the time difference requires an engineer who can operate independently, making critical decisions without immediate oversight. We favor engineering our way out of toil through automation, orchestration, detections-as-code, and risk-based prioritization, while retaining the deep technical skills required to conduct detailed, hands-on analysis and lead response end-to-end when the situation warrants. Work Environment: This role is based in London, UK. You will be working from a dedicated, private space located within a shared office environment, designed to enable collaboration while remaining secure. YOU WILL: * Build Detection & Response Systems: Design, write, and maintain production-quality detections, automations and integrations (detections-as-code, SOAR playbooks, data and enrichment pipelines) that scale our monitoring capability and reduce manual toil. * Own Tooling & Platform: Develop and improve the tooling the global SIRT/SOC depends on alert quality and enrichment, case-management integrations and automation that powers reliable "follow-the-sun" hand-offs. * Exercise High Autonomy: Act as the primary Incident Commander for the European time zone, making critical, time-sensitive decisions independently before US HQ comes online. You will serve as the senior-most security engineering point of contact in the region. * Drive Strategy & Architecture: Shape the technical direction of the detection & response engineering function, specifically architecting how global hand-offs and "follow-the-sun" models can be optimized and automated. * Command Security Incidents: Ensure serious threats and impacts are understood, mitigated, and learned from with speed and professionalism, often leading responses end-to-end without immediate escalation paths during local hours — and turning what you learn into durable, automated detections. * Conduct Forensic Investigations & Threat Hunt: Dig into complex context to determine whether threats exist, take decisive action and proactively hunt for anomalous activity in our signals, distinguishing outliers from threats. * Lead High-Profile Responses: Collaborate with Security and Engineering to lead responses to major vulnerabilities or platform-wide events. * Collaborate Cross-Functionally: Work with Legal, HR, Executive teams, and external partners (Developers & Customers). You will also travel semi-regularly to the USA to visit HQ, ensuring deep alignment with central engineering and security leadership. YOU HAVE: * Experience: 10+ years across security engineering, Infosec, IT, Infra/SRE, and/or Incident Response. * Specialization: 7+ years specifically in Detection or Response, with a track record of building, writing detections, automation or security tooling, not solely operating. * Engineering Proficiency: Comfortable writing and reviewing production-quality code (Scripting) and building automations, integrations and data pipelines that others depend on. * Autonomous Leadership: Proven ability to work independently in satellite offices or distributed teams. You are comfortable being the "person in charge" during your shift and making calls that impact the business. * Incident Command: Extensive experience operating as an incident commander. You can flex into deep engineering work but also possess the executive presence to coordinate responders and communicate status to leadership. * Investigations: Expert-level capability investigating threats in enterprise and production environments, taking ownership from identification to resolution. * Knowledge/Tools/Techniques: Deep understanding of security tooling (SIEM, EDR, IDS/IPS, NDR, SOAR) and experience extending or building on it. You are proficient in applying Incident Response frameworks (NIST IR Lifecycle, Cyber Kill Chain, MITRE ATT&CK) to real-world scenarios, and you collaborate effectively with engineering colleagues, leveraging extensive expertise across infrastructure and technologies (Public Cloud, OS, Virtualization, Containerization, Networking, Build/Development infrastructure, and Hardware). * Education: Bachelor's degree in Computer Science, Cybersecurity, or a related technical field; advanced degree preferred or equivalent experience. YOU ARE: * A Builder-Operator: You would rather automate a problem out of existence than staff around it and you hold yourself to an engineering bar even under incident pressure. * A Strategic Self-Starter: You don't wait for instructions. You identify gaps in coverage — especially those unique to regional or time-zone-specific challenges — and fix them. * A Detailed Thinker: You enjoy exploring the details and considering the second- and third-order effects of your decisions. * An Eager Problem Solver: You are drawn to complex issues rather than avoidant of them. * Emboldened to Make Change: You instinctively ask what you can do to improve the situation rather than waiting to be prompted. * Compelled by our Mission: You are driven by the opportunity to protect our community and the safe space we've created. * A Calculated Risk Taker: You move fast, navigating reasonable risks to take action and build capabilities as quickly as possible. Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
FEQ327R184 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritised customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers * Programming experience in Python, Spark, Databricks or similar Data Platform * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
P-1318 At Databricks, we are passionate about enabling data teams to 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. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: * Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. * Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. * Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. What we look for: * BS (or higher) in Computer Science, or a related field * 3+ years of production level experience in one of: Java, Scala, C++, or similar language. * Experience developing large-scale distributed systems. * Experience working on a SaaS platform or with Service-Oriented Architectures. * Good knowledge of SQL. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
P-1317 At Databricks, we are passionate about enabling data teams to 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. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: * Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. * Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. * Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. What we look for: * BS (or higher) in Computer Science, or a related field * 2+ years of production level experience in one of: Java, Scala, C++, or similar language. * Experience developing large-scale distributed systems. * Experience working on a SaaS platform or with Service-Oriented Architectures. * Good knowledge of SQL. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
RDQ426R402 At Databricks, we are passionate about enabling data teams to 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. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Product Manager on the Lakeflow Jobs team, you will shape the future of data-aware orchestration on the Databricks Data Intelligence Platform. Jobs is Databricks’ built-in orchestrator, managing hundreds of millions of workloads every week with 99.95% reliability. It powers ETL, AI/ML, BI, and streaming workloads for thousands of customers. Your focus will be on evolving control-flow capabilities, authoring experiences, and observability features that allow customers to productionize workflows with best practices like source control, code promotion, and system observability. This role requires a deep understanding of orchestration workflows, data pipelines, and service reliability. You will work closely with engineers, designers, field teams, and customers to define the roadmap, drive adoption, and ensure Jobs is the best-in-class orchestration platform for modern data and AI teams. The impact you’ll have: * Define strategy & roadmap: Set vision and priorities across orchestration, triggers, authoring, and observability. Translate customer needs into features and integrations that accelerate Lakeflow Jobs adoption. * Drive metrics & observability: Define success metrics for adoption, engagement, and developer efficiency. Use data to guide roadmap decisions and refine the product experience. * Collaborate cross-functionally: Partner with global engineering, field engineering, solution architects, and external partners to deliver impactful features and integrations. * Champion customer needs: Talk to hundreds of customers, understand their journeys, and advocate for features that reduce friction in authoring, monitoring, and orchestrating workloads. * Own the product lifecycle: Write PRDs, release notes, and documentation, and drive launches that ensure customer and business success. WHAT WE LOOK FOR: * 5+ yrs of experience * Bachelors degree in Computer Science or similar field * Experience in Product Management (inbound, outbound, cross-functional processes) * Solid understanding of major orchestration tools (Airflow, Dagster, Prefect etc.) * Technical skills understanding of data pipelines (Spark, dbt, Lakeflow Pipelines) * Strong data analysis and operationalization skills (SQL, Python, building operational dashboards) About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
P-1319 At Databricks, we are passionate about enabling data teams to 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. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: * Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. * Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. * Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. What we look for: * BS (or higher) in Computer Science, or a related field * 7+ years of production level experience in one of: Java, Scala, C++, or similar language. * Experience developing large-scale distributed systems. * Experience working on a SaaS platform or with Service-Oriented Architectures. * Good knowledge of SQL. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
P-1328 At Databricks, we are passionate about enabling data teams to 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. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: * Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. * Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. * Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. What we look for: * BS (or higher) in Computer Science, or a related field * 7+ years of production level experience in one of: Java, Scala, C++, or similar language. * Experience developing large-scale distributed systems. * Experience working on a SaaS platform or with Service-Oriented Architectures. * Good knowledge of SQL. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
P-1327 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. Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads. As a software engineer, you will join as a founding member of not only the Berlin site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values. The impact you'll have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: * Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. * Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store. * Develop product features that empower our customers to easily store and access their data. What we look for: * BS (or higher) in Computer Science, or a related field * 5+ years of production level experience in one of: Java, Scala, C++, or similar language. * Experience developing large-scale distributed systems. * Experience working on a SaaS platform or with Service-Oriented Architectures. * Knowledge of SQL. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
ReqID: FEQ327R501 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have * Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. * GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. * Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. * Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform’s AI roadmap. * Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for * Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: * ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. * Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). * Hands-on experience working with Distributed Spark based systems * Experience with data engineering concepts or a good understanding of data engineering concepts * Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred * [Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets * Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. * Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. * Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. * Can meet expectations for technical training and role-specific outcomes within 3 months of hire * Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
FEQ327R288 This role is based out of Paris and can involve travel up to 30% when needed SPECIALIST SOLUTIONS ARCHITECT - PLATFORM SECURITY AND CLOUD INFRASTRUCTURE As a Specialist Solutions Architect (SSA-SME), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with cloud infrastructure and big data technologies. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to continuously consolidate the skills in your area of speciality. Reporting to the Manager, Field Engineering (Specialist). THE IMPACT YOU WILL HAVE: * Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices including automation * Architect production-level workloads, including end-to-end pipeline load performance testing and optimisation * Provide technical expertise in cloud infrastructure and security relating to our Databricks Lakehouse Platform * Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures * Improve community adoption (through tutorials, training, hackathons, conference presentations) * Contribute to the Databricks Community and act as a technical SME. WHAT WE LOOK FOR: * Pre-sales or post-sales experience working with external clients across a variety of industry markets * Experience as a Data Platform engineer designing, setting up, and maintaining production-grade big data systems (Spark) * Experience designing cloud infrastructure and services, such as AWS, Azure, or GCP, applying best practices in cloud security and networking, including: * Designing, deploying, and maintaining cloud networks and connectivity (VPC/VNet design, routing, segmentation, private connectivity). * Architect production cloud networks for data and AI workloads, including segmentation and routing, data exfiltration prevention, and performance/reliability * Identity & Access Management (e.g. role-based access control, using the principle of least privilege, integration with IdPs, etc) * Hands-on experience with cloud infrastructure automation (e.g. Terraform or cloud-specific resource management tools like ARM, CloudFormation, etc). * Experience supporting customers in designing and implementing a security lakehouse/security data platform on Databricks to augment SIEM, enable security analytics and threat hunting, and build advanced detections. * Ability to design and extend highly performant, scalable, secure, and cost-effective cloud-based big data solutions * Deep knowledge of development tools and best practices for engineers including CI/CD, unit and integration testing, plus automation and orchestration * Production programming experience in one or more of the following languages - Python, Scala, SQL, or R * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience * The role is located in Amsterdam and requests travel up to 30% when needed. * Nice to have: Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
P-1514 At Databricks, we are passionate about enabling data teams to 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. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads. Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the founding engineers to build out both the Lakebase product and our London presence. Below are some example teams you can join: Lakebase Platform Reliability: Constantly evolving Lakebase Reliability. That includes cross-functional infrastructure, observability, SLI/SLOs definition and measurements, as well as achieving higher operational efficiency without the need for humans-in-the-loop (both internal and customer-facing), via building AI-powered automation and services Lakebase Manager (LBM): Build and operate the central control plane that owns the core logic for Lakebase — database creation and deletion, wake-up and suspend, maintaining computes on hot standby, HA failover, and more. LBM interacts with every Lakebase component — storage, compute, proxy, and console — managing the full database lifecycle at scale with a focus on reliability. Lakebase Proxy: Build the heart of the Lakebase data path — the network edge that every customer touches. The proxy handles all client connections and transfers every byte of query traffic, serving every data protocol: Postgres, HTTP, WebSockets, and Data API. We route and manage large volumes of concurrent connections, solving load balancing, authentication, and data access at high throughput. We focus on performance, observability, and reliability to ensure the data path is fast and resilient. The impact you will have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: * Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. * Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store. * Develop product features that empower our customers to easily store and access their data. * Solve reliability problems related to Lakebase. * Actively find causes of downtime and systematically improve or remove root causes. * Help the org define SLIs, meet SLOs, and drive long-term reliability improvements. What we look for: * BS degree (or higher) in Computer Science, or a related field. * 8+ years of production level experience in one of: Java, Scala, C++, or similar language. * Experience developing large-scale distributed systems. * Experience working on a SaaS platform or with Service-Oriented Architectures. * Knowledge of SQL. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
REQ ID: FEQ327R160 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world-class, cross-functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have: * Engage with some of Databricks’ most complex customers to help them achieve their unified platform goals. * Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. * You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. * You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. * Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. * Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. * Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. What we look for: * Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity. * You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background * You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. * You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. * Ability to influence influential decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers. * Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark. * Hands-on expertise with complex proofs-of-concept and public cloud platform(s) across AWS, Azure and Google. * Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. * Nice to have: Databricks Certification * Up to 60% travel to London offices and customer site About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
REQ ID: FEQ227R246 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world-class, cross-functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have: * Engage with some of Databricks’ most complex customers to help them achieve their unified platform goals. * Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. * You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. * You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd-party applications, ensuring they are excited about the Databricks vision and solution strategy. * Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. * Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. * Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for: * Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity. * You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background * You will be working with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. * You will have a builder mindset, you instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. You turn customer challenges into hands-on proof points that accelerate confidence. * You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. * Ability to influence influential decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers. * Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark. * Hands-on expertise with complex proofs-of-concept and public cloud platform(s) across AWS, Azure and Google. * Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape. * Nice to have: Databricks Certification * Up to 30-40% travel to London offices and customer sites About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. We're looking for an experienced seller to join our Global Strategic Accounts team. This team is a specialized group within Global Large Customer Sales that oversees Reddit’s most significant global advertising partners end-to end, by leading joint business planning, global strategy, and cross-regional execution This role is required to be based in person in London. Responsibilities: * Orchestrate and deepen multi-market relationships with C-suite executives and Global Agency Leads to drive sustainable, long-term global revenue growth * Design and execute global joint business plans that align Reddit’s capabilities with the partner’s overarching global business pillars and annual reports * Serve as a global consultant, providing proactive advice to address macro-industry trends and global consumer behavior. * Identify untapped international territories and strategically position Reddit as a foundational element of our partner’s global media mix * Own the global-to-local strategy, ensuring that high-level global frameworks are effectively localized and executed by regional teams across AMER, EMEA, and APAC * Manage the end-to-end presentation of complex global strategies and ensure a unified voice across all partner touchpoints * Act as the global lead for high-stakes platform updates, crisis management, and international product rollouts, ensuring consistency in communication across all global markets * Shape the global product roadmap by synthesizing complex, multi-market feedback and identifying scalable feature gaps that impact the partner's worldwide operations * Act as a global thought leader by representing Reddit at major international industry forums and within partner internal global summits * Drive cross-functional synergy by building deep internal alliances with Product, Engineering, and Marketing to unlock "first-to-market" beta opportunities for global partners * Mentor and scale global expertise across the organization, elevating the strategic rigor of the broader sales team through the lens of global account management Required Qualifications: * 12+ years of experience in digital media with at least 7+ years of experience in sales, global partner management experience is preferred * Expertise in orchestrating global partnerships for Fortune 500/Global 2000 organizations * Proven ability to lead matrixed internal teams, coordinating across regional sales, product, and engineering functions to deliver a unified global strategy * Experience leading high-impact global initiatives, such as "first-to-market" international betas or cross-functional product steering committees that shape the platform's global roadmap * Proven experience managing relationships up through C-level executives * Deep industry expertise in specific verticals, product types, and/or measurement solutions * Subject matter expertise in the social media landscape and native advertising * Experience building and executing long-term account growth strategies * Demonstrated top-performer achievement against sales targets * BA / BS degree or equivalent work experience Benefits: * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Group Personal Pension Scheme with Employer match * Private Medical and Dental Scheme * Income Replacement Programs * Bike to Work scheme * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave #LI-Hybrid #LI-NT1 #LI-onsite In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
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