3 jobs found

Job Summary We are seeking a visionary and technically accomplished Senior Principal CPU Architect based in Cambridge, England, to lead the definition, modeling, and co design of next generation high performance CPU architectures. In this highly strategic role, you will bridge the gap between evolving software paradigms and silicon implementation, charting the course for industry leading compute engines. Key Responsibilities Long Range Architecture Roadmap (N+1 & N+2): Drive the pathfinding and definition phases for microarchitectural features 3 to 5 years ahead of production, including fetch/decode stages, execution pipelines, out of order schedulers, and multi level memory hierarchies. ISA Definition & Evolution: Evaluate, propose, and formally specify new Instruction Set Architecture capabilities (e.g., matrix vector extensions, custom compute instructions, dynamic scheduling helpers) to optimize future compute frameworks. Emerging Workload & Performance Analysis: Profile, dissect, and project performance characteristics of next generation workloads and translate complex algorithmic bottlenecks into foundational microarchitectural requirements. Hardware/Software Co Design: Partner tightly with compiler teams, operating systems engineers, and application software architects to build end to end hardware acceleration capabilities, optimizing compilers alongside custom execution blocks. Cycle Accurate Modeling & Exploration: Oversee and guide the creation of C++/Python based cycle accurate simulation models to validate architectural concepts, trade offs, performance speedups, and area/power efficiency (PPA). Technical Leadership & Ecosystem Influence: Act as an elite technical individual contributor, influencing senior executive roadmaps and championing technical standards in international microarchitecture and ISA working committees. Required Qualifications Deep Architecture Expertise: Proven track record in high performance CPU core development (e.g., x86, ARM, or RISC V) with deep knowledge of Out of Order execution, branch prediction, renaming, speculative execution, cache hierarchies, and coherency protocols. ISA Mastery: Authoritative understanding of ISA level designs, exception models, memory consistency models, and virtualization extensions. Workload Profiling: Proficiency using hardware performance counters, simulation traces (SimPoints, execution traces), and profiling tools (VTune, Perf) on large scale cloud, edge, or client workloads. Advanced Modeling Skills: Strong hands on experience developing cycle accurate architectural simulators (such as gem5 or proprietary internal simulators) using C, C++, and Python. Education & Experience: MS/PhD in Computer Engineering, Computer Science, or Electrical Engineering with a minimum of 12+ years of industry experience in CPU architecture and pathfinding. Desired Qualifications Experience delivering multiple taped out high performance CPU silicon designs. Active contributions to open source architectural frameworks, compiler backends (LLVM/GCC), or open ISA working groups (e.g., RISC V International). Familiarity with advanced silicon packaging (chiplets, 3D stacking) and their microarchitectural implications.

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world's biggest brands. About the Role The Senior Manager, Center of Expertise will lead a team of elite product and domain experts who drive measurable outcomes on strategic customer engagements. This role is built for a technically fluent, decisive leader who thrives at the intersection of modern data protection, cloud infrastructure, and AI driven operations-someone who can translate complex architectures into executive level narratives and who genuinely cares about the people they lead and the customers they serve. You will lead a team of Domain Engineering Specialists (DES) who serve as subject matter experts across Veeam Data Platform (VDP), Veeam Data Cloud (VDC), Vault, and Kasten, as well as the broader cloud native and AI/ML ecosystem surrounding them. This is a team that sets the standard-not just within Veeam, but across the industry-and the right leader will take pride in keeping it that way. Your team partners with customer facing teams to lead complex, large scale technical onboardings involving intricate multi environment architectures, data modeling, telemetry analysis, and risk discussions with C suite stakeholders (CISO/CIO/CTO). You will align customer posture against the Veeam Data Resilience Maturity Model (DRMM) and industry frameworks (NIST CSF, CIS Controls, Zero Trust Architecture) to surface optimization opportunities and drive expansion. Success requires deep cross functional alignment, the ability to manage competing priorities at scale, and a bias toward outcomes over activity. What You'll Do Lead and develop a team of 6-10 Domain Engineering Specialists, investing genuinely in their growth through technical coaching, structured career development, and a culture where people feel challenged, valued, and proud of the work they do. Define and execute the team's technical enablement roadmap, with a strong focus on emerging capabilities in AI/ML, cloud native architectures, and cyber resilience. Own the team's involvement in complex, large scale customer onboardings-multi environment migrations, hybrid and multi cloud transformations, and enterprise wide resilience deployments that require deep architectural engagement and precise coordination. Coach specialists to deepen expertise in ransomware recovery, immutable storage, multi cloud data protection, and Kubernetes native backup-and create clear paths for them to grow into recognized experts inside and outside of Veeam. Build and scale a content and resource hub that extends the team's reach beyond 1:1 customer engagements-including technical playbooks, reference architectures, self service assessment tools, and evergreen enablement content. Develop and run high impact customer engagement programs-webinars, roundtables, virtual workshops, executive briefings, and community forums-that position Veeam's expertise in front of broader audiences and create scalable touchpoints across the customer lifecycle. Establish and maintain the team's position as a credible technical authority in conversations with customer engineering, architecture, and executive stakeholders. Drive process improvements and playbooks that scale impact without scaling headcount linearly. Monitor operational KPIs and use data to identify coaching opportunities, capacity gaps, and emerging risk patterns across the customer portfolio. Influence product and engineering roadmaps by synthesizing field level insights into structured feedback loops. Build and maintain cross functional relationships with Sales, Product, Engineering, and Customer Success to ensure coordinated customer outcomes. Serve as an executive level escalation point for complex technical and strategic customer situations. Model and reinforce a high performance culture anchored in intellectual curiosity, ownership, and genuine care for customers and teammates alike. And other responsibilities as needed as the business evolves and grows. What You'll Bring 8+ years of experience in technical customer success, solutions engineering, or related customer facing technical roles-ideally within enterprise SaaS, cloud infrastructure, or data management. 4+ years of people management experience, with a track record of building and scaling high performing technical teams where culture is a competitive advantage, not an afterthought. Deep expertise in data protection and cyber resilience-including ransomware recovery architectures, immutability strategies, air gapped backup, and recovery time/point objectives at enterprise scale. Hands on familiarity with AI and machine learning concepts, including how organizations are operationalizing AI workloads and the data infrastructure that supports them (data pipelines, model training environments, vector databases, LLMOps). Strong working knowledge of major cloud platforms (AWS, Azure, GCP) and cloud native patterns-Kubernetes, containers, serverless, IaC (Terraform/Pulumi), and multi cloud data governance. Fluency in modern infrastructure concepts: hybrid cloud architectures, software defined storage, disaster recovery as code, and observability stacks. Ability to engage credibly in security framework discussions-Zero Trust, NIST CSF, CIS Controls, SOC 2, and regulatory environments (GDPR, HIPAA, FedRAMP). Experience leading or owning large scale, complex customer onboardings with multiple stakeholders, integrated environments, and significant technical and organizational complexity. Proven ability to build scalable content programs-technical resource hubs, reference architectures, webinars, workshops-that extend expert knowledge to audiences well beyond direct engagement. Demonstrated ability to lead teams through ambiguity in fast moving, high growth environments. Strong executive communication skills-able to distill complex technical risk into business impact narratives for CISO, CIO, and board level audiences. Experience using data and telemetry to drive coaching decisions and team performance improvements. Adaptable, high agency operator who sets direction without waiting for perfect information-and brings others along with them. What you'll get 25 paid vacation days, plus 4 extra global VeeaMe Days for self care and 24 paid volunteer hours annually through Veeam Cares. Private medical, dental, and vision insurance with dependent enrolment. Life insurance with enhanced coverage and global 24/7 protection. Income protection after 26 weeks, covering a portion of salary. Defined contribution pension plan with employer match. Worldwide travel insurance for business and leisure, with option to enroll dependents. Employee Assistance Program with therapy, legal, and financial support, plus online GP services and wellbeing programs. Opportunities to learn and grow through on demand libraries (LinkedIn Learning, O'Reilly), mentoring, workshops and learning events like our annual Global Day of Learning. Veeam Software is an equal opportunity employer Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

Contentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers' whole online journey. We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We're here to stay-and we're looking for team members who are excited to drive impact and help us scale even further. Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler-for our customers, their customers, and each other. Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. Any communication from our in house Talent Acquisition team will only ever come from our domain. For more information, visit our careers blog. As a Product Data Analytics Senior Manager, you will lead and develop a team of three analysts dedicated to our core product for all sales-driven business (another data analytics manager handles our self-serve initiatives). In close collaboration with the SVP of Product, you will leverage data with your team to drive strategic decision-making and optimize product performance. This role is integral to our product team, ensuring data-driven decisions guide our product strategy and innovation efforts. You'll join the Product Insights department, composed of the Product Data Analytics team and Product Research team. In charge of having a 360 customer knowledge view, we combine quantitative and qualitative insights to inform the product roadmap. Reporting to the Senior Director of Product Insights, you will ensure your team is aligned with the broader company goals and operates with the velocity required to influence strategic decision-making. What you'll do Strategic Alignment: Understand the vision of the different product groups you support and ensure that your team's focuses on the highest priority topics. Showcase critical thinking by advising the Product SVP on which analyses and monitoring would be most beneficial given the current knowledge gaps and desired impacts. Complex Project Management: Direct the execution of complex initiatives involving multiple stakeholders, ensuring the team delivers timely, actionable insights. Collaboration or dependencies might include technical teams, such as information systems, data ingestion and engineering, or business teams such as customer success, sales, lifecycle and implementation teams. Team Leadership: Develop and retain talent by identifying and nurturing individual strengths and career aspirations for your three analysts. Align with them on clear OKRs and projects to tackle during the quarter, as well as providing ongoing feedback on their analyses, ensuring they focus on high-impact work with an optimized time-to-insight. Data Empowerment: Identify weaknesses in data empowerment across the product lines. Guide and empower product teams with advanced methodologies and analytical tools to foster a data-driven culture. Provide training and support to ensure teams can independently leverage data insights in their decision-making processes. Strategic Collaboration: Partner with product research leaders to establish direction and purpose, and work with Product Directors/VPs to advocate for insights driven decision making. What you'll need to succeed Proficiency in statistical analysis, data modeling, and data visualization. Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis, data modeling and visualization tools (SQL, DBT, Excel, Tableau, or similar software). Expertise in creating advanced data visualizations that effectively communicate complex insights to a broad audience, including dashboards and interactive reports. Capacity to identify issues, analyze root causes, and develop effective solutions. Ability to approach problems methodically and think critically. Meticulous in analyzing data and ensuring accuracy. Ability to validate findings thoroughly and maintain high standards in data integrity and reporting. Ability to convey complex data insights clearly and effectively to non technical stakeholders. Strong written and verbal communication skills for reporting and presentations. Experience working in cross functional teams, including product managers, engineers, and designers. Ability to build relationships and influence stakeholders at all levels of the organization. Strong organizational skills and the ability to manage multiple projects simultaneously. Experience with project management tools and methodologies. Management Experience: Some experience managing data analyst(s), even better if you have managed a team of product analysts, aligning them to a strategic vision without requiring constant guidance. Understanding of business strategy and how data driven insights can support and enhance product and business goals. Ability to align data analysis with business objectives. You'll need to have a prior experience as a data analyst and to hold a business or engineering degree. What makes you stand out Previous experience of working closely with product leaders to understand the full product lifecycle and strategic considerations, and good knowledge of SaaS Product metrics. Understanding of machine learning concepts and experience with implementing predictive models to forecast product performance and user behavior. Being able to be hands on to unblock your team, as well as being a strategic communicator. You have a prior experience using Contentsquare platform or another similar tool. Why you should join Contentsquare We invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. We are always assessing the perks we offer to ensure we're aligned with the employees' needs. Virtual onboarding, hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year Work flexibility: hybrid and remote work policies Generous paid time off policy (every location is different) Lifestyle allowance A Culture Crew in every country we're based in to coordinate regular activities for employees to get to know each other and bond outside of work Every full time employee receives stock options, allowing them to share in the company's success We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts And more benefits tailored to each country Contentsquare is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Your personal data is used by Contentsquare for recruitment purposes only. Read our Job Candidate Privacy Notice to find out more about data protection at Contentsquare and your rights. You can exercise your rights by using our dedicated Data Subject Rights Portal. Your personal data will be securely stored in our hosting provider's data center in Oregon (US west). We have implemented appropriate transfer mechanisms under applicable data protection laws. Contentsquare may use AI assisted tools to help review and screen applications. All decisions involving hiring are made by human reviewers, and your personal data will be processed in accordance with our Candidate Privacy Policy.