Enterprise Analytics And Reporting Manager Jobs

Vous voulez travailler dans le domaine de la technologie dans une banque d'investissement? Une formation diplômante rémunérée, un soutien continu, des opportunités auprès d'employeurs internationaux de premier plan: le programme pour diplômés de l'Alumni vous offre tout ce dont vous avez besoin. (Et ne vous inquiétez pas, il n'y a pas d'obligation de formation, pas de frais de sortie, pas de pièges cachés). Chez mtrois, nous mettons en relation d'excellents diplômés avec de brillantes entreprises internationales. Nous comptons parmi nos clients des banques d'investissement de premier plan et d'autres organisations dans un large éventail de secteurs, de l'assurance aux soins de santé en passant par les voyages. Ce que vous ferez: Le support de production joue un rôle essentiel dans la technologie d'entreprise, des moteurs de trading algorithmique aux rapports réglementaires. C'est un peu comme les soins de santé pour la technologie. En tant qu'analyste du support de production chez mtrois, vous aurez pour mission commune de veiller sur les systèmes et processus techniques sur lesquels les autres équipes comptent. Comment ça marche: Inscrivez-vous en ligne : Remplissez le formulaire en haut de cette page en incluant votre CV. Complétez le processus d’évaluation: Cela impliquera un appel d’introduction avec un membre de notre équipe de talents, un test de résolution de problèmes en ligne et une entrevue finale. Inscrivez-vous au cours de formation en ligne de 6 semaines à temps plein: Attendez-vous à un mélange d’apprentissage de type cours magistral, de travail de groupe collaboratif, de complétions de projets et d’affectations de développement logiciel individuel. Recevez le soutien dont vous avez besoin: Qu’il s’agisse de webinaires sur des domaines techniques clés avec notre équipe de talents, ou de sessions sans rendez-vous avec nos gestionnaires d’expérience de l’académie, vous serez supportées tout au long de votre processus. Accédez à des carrières avec des emp

Skeletons, lasers, tattoo buses — the Torq brand grabs attention like nothing else in cybersecurity. And we're growing like crazy, backed by Series D funding, 200% employee growth, and 300% revenue growth. Fueling Torq's momentum is our game-changing AI SOC platform, backed by a team and culture that makes Torq one of Forbes' Best Startup Employers in America, and a Business Insider 'startup to bet your career on'. Life at Torq is all gas, no brakes. We're a team of relentless, collaborative go-getters pushing the boundaries of what's possible for security automation. Every role is an essential driver of Torq's success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. About Torq Torq is the AI SOC platform transforming how enterprises run security operations. By combining a battle-tested hyperautomation engine with agentic AI, Torq lets security teams triage, investigate, and respond to threats at machine speed — moving beyond the limits of legacy SOAR and SIEM. Torq's AI agents act as digital analysts that work 24/7 to triage alerts, investigate threats, and remediate autonomously, freeing human analysts to focus on higher-value strategic work. Torq is defining and leading the AI SOC category, and the market recognition backs it up: Unicorn — closed a $140M Series D at a $1.2 billion valuation in January 2026, bringing total funding to $332M . Gartner — named the "Company to Beat" in AI SOC Agents for Threat Investigation (May 2026). KuppingerCole — named a Leader across all four AI SOC categories : Overall, Product, Innovation, and Market (April 2026). 4.8/5 rating on Gartner Peer Insights. ~300% revenue growth in 2025 , with a global team scaling fast. There's electricity in the air at Torq. We're a dynamic, highly motivated team propelling our customers and partners to new heights through AI-driven security operations. This Professional Services role sits at the front of the fastest-moving category in cybersec

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure Data Intelligence (formerly 1touch.io) enables enterprises to discover, classify, and contextualize data across cloud, on-premises, and edge environments, improving AI accuracy, building trust in AI outcomes, reducing risk, and delivering measurable business impact. We are seeking a Professional Services Engineer to join a team working with some of the world’s largest financial services, healthcare, retail, government, and technology customers to help them understand and secure their data. WHAT YOU'LL DO Work with customers, usually via screen share, to configure Inventa software relative to their business needs and use cases. Drive adoption. Guide customers through technical setup, configuration, and integration Connect Inventa to various applications, including on-premises databases and file servers, cloud databases and file storage, SaaS applications, and data lakes. Accurately report project status to stakeholders. Troubleshoot connectivity, permissions, resource utilization, and other issues. Manage customer expectations by setting clear success criteria, fostering a collaborative attitude, and understanding platform capabilities. Deeply understand the product architecture and integrate external systems to Everpure Data Intelligence using APIs. Create and maintain technical documentation, FAQs, and knowledge base articles. Share insights with sales, success and product teams to improve processes and

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. About the Role & Team Everpure acquired Portworx to create the industry's most complete Kubernetes Data Services Platform for cloud-native applications. In this role, you will be supporting multi-cloud data services for Kubernetes and containerized workloads, enabling leading enterprises to run mission-critical data applications smoothly across public and private clouds. WHAT YOU'LL DO Analyze & Support: Troubleshoot and support large-scale customer deployments in public/private clouds across all severity levels. Technical Expertise: Provide hands-on guidance during all deployment phases, POCs, pre-sales calls, and production environments for key accounts. Cross-Functional Collaboration: Partner with engineering teams to analyze logs, reproduce complex customer issues, and develop long-term fixes. End-to-End Ownership: Track customer support cases end-to-end, triage multi-layer software stack issues, and escalate to core engineering when needed. Knowledge Sharing: Author and maintain KB articles, FAQs, and technical documentation for internal teams and customers. WHAT YOU BRING Experience: 2 - 4+ years in customer-facing technical support or Site Reliability Engineering (SRE). Containers & Orchestration: Solid working knowledge of Kubernetes, OpenShift, Tanzu, or VMware container solutions ( CKA certification is a plus ). Cloud Platforms: Hands-on experience with AWS, Azure, GCP, or related cloud technol

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Transform complex technical challenges into innovative, powerful solutions and own the lifecycle of core platform capabilities powering AI automation for the world's largest enterprises. ABOUT THE TEAM The Appian Product Management function is responsible for the creation, refinement, and scaling of products and services that power our global platform. Operating at the intersection of business strategy and cutting-edge engineering, our team transforms complex technical challenges into innovative, powerful solutions. We build the mission-critical core capabilities that enable AI-Powered Process Automation for the world’s most regulated and sophisticated enterprises and governments. THE OPPORTUNITY Why should an ambitious product professional join Appian right now? Our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. This role offers an exceptional opportunity to manage the complete product lifecycle within a high-velocity, collaborative environment. You will not just be managing a backlog; you will be the strategic bridge connecting engineering, design, and go-to-market functions to bring innovative capabilities to life. WHAT YOU'LL DO Product Vision & Execution: Own the quarterly plan, prioritize the feature backlog, and lead the delivery for a major product area. Backlog & Roadmap Alignment: Prioritize the sp

Identity has become a critical to an organizations security posture. This is true across their entire digital landscape include cloud, traditional on prem and emerging technologies like agentic ai. Britive is at the forefront of a modern approach to delivering identity security with the only modern privileged access management platform that provides unified Privileged Access Visibility, Dynamic Privilege Management and Secrets Governance across infrastructure, platforms & SaaS. Our patent-pending technology is deployed at companies of all sizes around the world, including Fortune 500 companies. We have repeatedly ranked among the hottest Cloud Security startups. Britive is founded by CyberSecurity industry veterans with a successful prior exit and is backed by top-tier VCs. About Us Britive delivers a leading cloud-native security solution built for the most demanding cloud-forward enterprises. We were founded by security industry veterans with a track record as successful entrepreneurs. Our platform empowers cloud infrastructure and security teams with a dynamic and intelligent privilege administration technology for multi-cloud environments and helps minimize the risks of cloud security breaches and operational disruptions. We launched our platform less than a year ago and already count several large and Fortune 500 enterprises as customers, including a global automaker, a top retail brand, a national healthcare provider, and a multi-national communications company. Our patent-pending technology has been favorably reviewed by leading analysts at Gartner, Forrester, TechVision, etc. and we are backed by top-tier VCs and prominent angel investors! About You You are a passionate Senior UI Engineer who wants to take our early stage product to the next level. You have strong design and creative skills to build unique compelling content without compromising the user experience. From day one, you must be able to hit the ground

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit

Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. Forward is currently seeking a Senior Backend Software Engineer to work as part of our Platforms team. You will play a critical role in designing, developing, and scaling the core backend services and infrastructure that support our SaaS and on-prem deployments. Your contributions will have a direct impact on the stability, performance, and scalability of our platform, helping to ensure an exceptional experience for our customers. Responsibilities: Platform development: Contribute to the design and development of storage systems, job scheduling systems, data ingestion frameworks, monitoring frameworks etc to ensure high system performance and availability. Feature development: Build and maintain backend frameworks that support essential platform features Scalability & Reliability: Develop scalable, high-performing

Forward is transforming how the world’s most complex networks are managed and secured. Founded in 2013 by four Stanford Ph.D.s, we built the industry’s first network digital twin — a mathematically precise model of the production network that gives IT teams unmatched visibility, verification, and agility across every major cloud and vendor environment. Our customers include global leaders such as Goldman Sachs, PayPal, S&P Global, IBM, and Dell, as well as fast-growing enterprises and government agencies. According to IDC, Forward customers realize an average of $14.2 million in annual benefits through improved efficiency and security. Backed by world-class investors including Andreessen Horowitz, Goldman Sachs, MSD Partners, and Threshold Ventures, Forward offers a people-centric, innovative culture where brilliant minds are shaping the future of network reliability, security, and AI-ready operations. Forward is currently seeking experienced Java developers to work as part of our Network team. Responsibilities Help bring the best ideas from the software development world into the networking industry. Contribute to our code base, systems and software architecture as a member of our engineering team. Help create and optimize network device models for different device vendors and protocols. Help create infrastructure needed to configure, collect and test network devices. Work with peers who are experts in Networking, Distributed Systems, Big Data and Search. Requirements 5+ years of work experience in software development 3+ years of work experience with Java BS in Computer Science or related degree Solid software engineering experience with large code bases Basic understanding of networking and TCP/IP. Strong verbal and written communication skills. Nice to haves Working knowledge of how switches, routers, firewalls or load balancers work. Experience working with networking protocols such as BGP/OSPF/IS-IS, IPv4/IPv6, MPLS, VLAN, VXLAN, etc. This position is a re

Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. Forward is currently seeking a Java Backend Software Engineer to work as part of our Apps - Server team. The work will involve developing our web server, REST APIs, and product core by writing clean and solid code that interacts with our other services and components. Responsibilities include: Developing new product features that leverage the network model to help users: visualize their network, understand how it behaves, see how it has evolved, answer specific questions, and plan changes Designing the data model for new product features Proposing and implementing REST APIs to support the Forward web application and to publish to customers Constructively reviewing product designs, technical design documents, and code changes Requirements: At least 5+ years of full lifecycle software development experience Expertise in Java (versi

Here’s a summary of the role: If you’re a product manager who thrives on turning ambiguity into clarity and wants to shape how organisations handle ethics and compliance in this new AI-enabled era , this role puts you right in the middle of it. You’ll own a whistleblowing and case management platform used by major enterprises, working closely with engineering teams in London and Bangalore to create and ship features that differentiate our product from the competition – from employee reporting tools to AI-powered investigation workflows. This is a fast-moving environment where you’ll need to be comfortable with complexity, technically curious, and confident communicating across every level of the business. It’s a one-year fixed term contract covering maternity leave, with a realistic possibility of extension or permanence for the right person. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Own the product roadmap for a whistleblowing and case management platform (Vault/Speak Up), working with one other product manager and a team of 6–12 engineers to define, prioritise, and ship features Work with engineering daily to translate business requirements into well-scoped, deliverable work – managing trade-offs between speed and scope coverage in a fast-moving environment Collaborate across a portfolio of Ethics & Compliance products including policy management, compliance training, and conflicts of interest – ensuring your product connects into a broader vision Engage with product marketing, senior stakeholders, and commercial teams to communicate what you’re building, why it matters, and what’s coming next Conceptualise and shape AI-powered product features – you won’t just be managing a backlog, you’ll be acti

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborate with cross-functional teams to define, design, and deliver new features. Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. Present technical information to teams and stakeholders, providing

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborating with cross-functional teams to define, design, and deliver new features. Proactively identifying opportunities for, and driving improvements to, current p

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborating with cross-functional teams to define, design, and deliver new features. Proactively identifying opportunities for, and driving improvements to, current p