Strategic Cloud Partner Enablement Lead Jobs

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team You’ll be joining the data science team at Stripe responsible for our overall infrastructure, with a focus on core systems and cloud platforms. Projects include, but are not limited to: Developing models to predict resource needs as Stripe demand increases; Working closely with engineers to improve the cost and performance of platforms and services; Employing quantitative methods to drive and automate fleet decisions. You will act as a key strategic data partner to the Core Infrastructure organization at Stripe, and help craft, guide, and drive the strategy and tactics needed to help ensure Stripe can continue to scale with efficiency and dependability as our business rapidly grows. What you'll do As a Data Scientist, your role will involve: Analyzing infrastructure usage, efficiency, and workloads to predict demand and inform capacity planning. Developing models and strategies for efficient compute resource consumption and provisioning. Collaborating with engineers, engineering leadership, and finance teams to ensure Stripe makes the right, data-driven, infrastructure decisions. Providing actionable insights and recommendations to improve infrastructure operations to reduce costs and improve reliability. Utilizing your analytical expertise to influence both technical and financial strategies within Stripe. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements,

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 Join our Modern Virtualization team to engineer the next generation of enterprise storage for cloud-native and virtualized environments. You will architect and deploy best-in-industry Kubernetes, Nutanix, and OpenStack integrations, bringing enterprise-grade storage mobility and automation directly to our customers’ mission-critical workloads. You’ll collaborate closely with global engineering leads to design robust, production-ready code that defines the future of our storage ecosystem and ensures seamless platform interoperability. WHAT YOU'LL DO Feature Architecture & Development: Architect, develop, and deliver scalable features across Kubernetes (OpenShift), OpenStack, and Nutanix stacks for FlashArray and FlashBlade, ensuring seamless, enterprise-grade storage performance for virtualized platforms. End-to-End Ownership: Own the full lifecycle of your features, from initial design and implementation to writing rigorous test automation, guaranteeing high reliability and stability for mission-critical production workloads. Cross-Functional Collaboration: Partner with engineering teams across geographies to drive design reviews, troubleshoot complex distributed system challenges, and continuously elevate our engineering practices, code quality, and test coverage. WHAT YOU'LL BRING Core Engineering Proficiency: Deep hands-on expertise in building production-grade software using Go, Java, or Python, with a pro

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 Drive the future of autonomous enterprise cloud experiences as the strategic leader for next-generation digital experiences, intelligent automation, and AI-powered infrastructure services on the Everpure1 platform. In this role, you will define the vision and execute the strategy for Copilot, Agentic AI, and workflow orchestration, transforming how businesses consume and manage data infrastructure. Collaborating closely with customers, partners, the CTO office, and engineering, you will turn complex cloud-consumption challenges into seamless, high-growth SaaS subscription outcomes. WHAT YOU'LL DO Own the AI & Automation Roadmap: Define and drive the end-to-end product strategy for Copilot, Agentic AI, and intelligent workflow orchestration to deliver industry-leading digital experiences that increase Everpure platform (Pure1 - Intelligent control plane) Expand the SaaS Subscription Business: Design and launch features across cloud, virtualization, and enterprise environments through Pure1, enabling customers to monitor, manage, automate, and optimize data infrastructure while accelerating subscription revenue growth. Architect Seamless Integrations: Lead the integration of enterprise applications, databases, and APIs with storage automation solutions to streamline operations and create frictionless user experiences for customers and partners. Champion the Go-To-Market Strategy: Partner with cross-functional le

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions. IN THIS ROLE YOU WILL GET TO: Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the APJ region. Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases. Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback. Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos. Influence, tailor and maintain Sales Engineering AI and ML selling assets, incl

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 understand data across cloud, on-premises, and edge environments to improve AI accuracy, build trust in AI outcomes, reduce risk, and deliver measurable business impact. The Sr. Manager of Customer Success is responsible for driving customer value realization, retention, renewals, and growth across the customer lifecycle. Reporting to the Head of Sales, this leader will serve as a strategic partner to customers, ensuring the successful adoption of our data intelligence platform and helping organizations achieve their data governance, privacy, security, and AI readiness objectives. This role leads the Customer Success organization and works cross-functionally with Sales, Product, Engineering, Professional Services, and Support to deliver exceptional customer outcomes while supporting revenue retention and expansion goals. The ideal candidate will be on-site in our Santa Clara, CA office. WHAT YOU'LL DO Lead and develop the Customer Success team, establishing a customer-centric culture focused on business outcomes. Own customer retention, adoption, customer health, and renewal readiness across the installed customer base. Build trusted relationships with executive and technical stakeholders within strategic accounts. Develop and execute customer success strategies that drive measurable business value and long-term customer

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 Join the Portworx team and play a pivotal role in delivering our highest-quality suite of products. In this role, you will contribute to building clean, robust code with a relentless focus on quality and customer success. You will be instrumental in developing a new SaaS platform designed to provide a secure, consistent, and best-in-class experience for customers purchasing and utilizing various Portworx offerings. As a core developer, you will take ownership of designing and implementing innovative features and products across the Portworx portfolio. WHAT YOU’LL DO Design & Develop SaaS Microservices: Build, scale, and integrate new features into Portworx products, ensuring seamless alignment with our distributed system architecture. Own the Lifecycle: Lead end-to-end engineering efforts, including design reviews, code reviews, unit/functional testing, documentation, and managing CI/CD deployment pipelines. Collaborate Globally: Partner closely with cross-functional peers and stakeholders (from Product Management to early-adopter customers) to take solutions from initial concept to production. Drive Iterative Quality: Take full ownership of feature development by proactively adapting to customer feedback and resolving issues identified during testing and deployment. Innovate & Experiment: Research and experiment with emerging technologies to push boundaries, optimize cloud infrastructure, and pione

Senior Product Manager, Identity Resilience Location: Bangalore About the Team The Identity Resilience team is Rubrik's fastest-growing business line, laser-focused on solving the most critical identity security challenges facing enterprises today. We operate as an entrepreneurial, "0-to-1" portfolio within Rubrik. As a product organization, we empower PMs to be central leaders who own the entire lifecycle - from board-level strategic vision to deep technical execution. On this team, you won’t just manage a backlog; you will be in the room with Fortune 500 CISOs, guiding engineering through complex architectural trade-offs, and architecting the macro go-to-market strategy. About the Role As a Senior Product Manager for Identity Resilience , you will be the strategic anchor and execution engine for Rubrik's Identity Protection portfolio. You will define how enterprises secure, audit, and rapidly recover their crown-jewel identity infrastructure (e.g., Active Directory, Entra ID, Okta, Ping, etc). This is a high-visibility, high-leverage role. You will partner deeply with Engineering, Design, and Go-To-Market (GTM) leadership to transform a rapidly evolving domain into a market-leading, multi-million dollar business line. Key Responsibilities Product Strategy & Vision: Own and evolve the multi-year product roadmap for enterprise identity protection, aligning technical capability with Rubrik's broader data security platform. 0-to-1 Execution: Lead the definition, design, and launch of next-generation features for workforce and customer identity platforms, driving products from early discovery to mainstream market adoption. Technical Leadership: Partner with Principal Engineers and Architects to navigate complex technical trade-offs in scale, security, and cloud/on-prem hybrid topologies. Customer & Market Discovery: Act as a trusted advisor to enterprise CISOs and IT executives, distilling complex customer pain points, compliance frameworks, and active threat v

We're on a mission to build the best platform in the world to defend the enterprise from code-to-cloud-to-runtime. Used by thousands of companies globally, Datadog security products uniquely leverage Datadog’s unified security and observability platform so Security, DevOps and SRE can collaborate rapidly and seamlessly to deliver better detection, prioritization and remediation. Our product and engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. In this competitive market, the Group Product Manager for Code Security will play a mission-critical role in providing product and strategy leadership to grow Datadog’s market share through differentiation, innovation and compelling customer value. This leader will lead a talented and growing team of product managers and work with world class engineers to build and grow multiple Code Security products that play an essential role for our customers’ code security programs, and growing Datadog into a security industry leader. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Run and grow multiple Code Security products to meet revenue and business targets with the goal of building a multi-hundred million dollar annual business. Lead and own product strategy and roadmap for accountable security products, fully aligned to revenue and business goals and with compelling differentiation and customer value. Ensure predictable roadmap execution across direct and partner teams to achieve product and business outcomes required to meet the revenue and business goals. Analyze and develop pricing and packaging strategies to maximize revenue through attaching deep understanding of market dynamics and other strategic leverage points. Drive GTM strategy with GTM partner teams

SLSQ327R433 As an Enterprise Core Account Executive, Public Sector, you will own strategic sales into a segment of Canada's public sector, driving adoption of our data and AI platform across central ministries, local governments, and public institutions. You will lead the full sales cycle, build executive relationships, and collaborate closely with internal and partner teams to support Canada's digital government and modernization initiatives. The impact you will have: Own and exceed revenue targets by winning new public sector customers in Western Canada including central ministries, local governments, government agencies, and public institutions. Develop and execute a clear territory and account strategy to identify, prioritize, and win high‑potential public sector accounts. Plan, document, and drive the expansion of Databricks usage in newly landed accounts, turning initial projects into broad, high‑impact data and AI platforms. Proactively identify new AI and data use cases in government operations and feed these insights into Japan’s public sector go‑to‑market, influencing product direction and regional strategy. Use a solution‑oriented, value‑based sales approach that links Databricks to measurable outcomes for public services and citizens. Orchestrate Databricks’ internal teams and our ecosystem of partners (SI, cloud, and consulting partners) to run effective sales motions and deliver successful customer outcomes. What we look for: 7+ years of SaaS, cloud, AI, or big data sales experience in Public Sector, with meaningful exposure to public sector accounts and a proven ability to drive adoption of new technologies through a consultative, solutions‑oriented sales approach. Demonstrated ability to navigate complex public sector stakeholder ecosystems, building consensus across multiple departments, budget owners, and decision/approval layers. Deep understanding of public sector priorities in Canada, including typical buying processes, buying cycles, decision‑m

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 At Everpure , we are helping customers better manage and utilize their global data in the AI era, as we evolve from traditional storage to intelligent data management and Enterprise Data Cloud capabilities. We are looking for a Technical Sourcer to help identify, engage, and attract top engineering talent across a range of technical domains. In this role, you will partner closely with recruiters and hiring managers to build strong talent pipelines and drive hiring outcomes for critical technical positions that support Everpure’s product and engineering growth. The ideal candidate is passionate about talent mapping, market research, candidate engagement, and building relationships with highly sought-after technical talent. You bring strong market insight, thoughtful outreach, and a proactive approach to finding and engaging the right talent before the market does. You are energized by the opportunity to help Everpure compete for exceptional talent in highly competitive technical markets. What You'll Do Develop and execute sourcing strategies to identify high-quality candidates for technical roles across software engineering, infrastructure, systems, AI/ML, firmware, hardware, and related domains. Build and maintain strong talent pipelines for current and future hiring needs, with a focus on quality, relevance, and speed. Conduct market mapping and competitive intelligence research to identify target companies

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Senior Staff Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineering & Optimization Create sophisticate

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale. The Opportunity The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments. As a Staff Frontier Agent Engineer (Forward Deployed Engineering) , you'll work directly with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems. You'll combine modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies to transform cutting-edge models into reliable enterprise software. Unlike traditional infrastructure or platform roles, you'll work at the intersection of AI and enterprise engineering. You'll design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape the engineering best practices for the next generation of enterprise AI. If you enjoy solving difficult systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production, you'll fit right in. What You'll Build Enterprise AI Systems Architect and deploy production AI systems that integrate seamlessly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems. Design scalable agent architectures that combine LLMs, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workfl

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale. The Opportunity The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments. As a Senior Frontier Agent Engineer (Forward Deployed Engineering) , you'll work directly with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems. You'll combine modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies to transform cutting-edge models into reliable enterprise software. Unlike traditional infrastructure or platform roles, you'll work at the intersection of AI and enterprise engineering. You'll design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape the engineering best practices for the next generation of enterprise AI. If you enjoy solving difficult systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production, you'll fit right in. What You'll Build Enterprise AI Systems Architect and deploy production AI systems that integrate seamlessly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems. Design scalable agent architectures that combine LLMs, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workf

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale. The Opportunity The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments. As a Frontier Agent Engineer (Forward Deployed Engineering) , you'll work directly with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems. You'll combine modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies to transform cutting-edge models into reliable enterprise software. Unlike traditional infrastructure or platform roles, you'll work at the intersection of AI and enterprise engineering. You'll design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape the engineering best practices for the next generation of enterprise AI. If you enjoy solving difficult systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production, you'll fit right in. What You'll Build Enterprise AI Systems Architect and deploy production AI systems that integrate seamlessly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems. Design scalable agent architectures that combine LLMs, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workflows. B

Position: Engineering Manager - Database Job Location: Noida Role Overview We are seeking a Database Engineering Manager (Individual Contributor) with deep expertise in MySQL and strong working knowledge of MongoDB, PostgreSQL, and Cassandra. This role combines hands-on database administration and optimization with strategic ownership of database reliability, automation, and cloud adoption. The candidate will lead by example—driving technical excellence, influencing best practices, and partnering cross-functionally with DevOps, SRE, and product engineering teams to deliver highly available, secure, and scalable database platforms. Key Responsibilities 1. End-to-End Ownership of MySQL databases in production & staging—availability, performance, and reliability. 2. Architect, manage, and support MongoDB, PostgreSQL, and Cassandra clusters for scale and resilience. 3. Define and enforce backup, recovery, HA, and DR strategies across all critical database platforms. 4. Drive database performance engineering—tuning queries, optimizing schemas, indexing, and partitioning for high-volume workloads. 5. Own replication, clustering, and failover architectures ensuring business continuity. 6. Champion automation & AI-driven operations—design self-healing scripts, predictive scaling, and proactive monitoring solutions. Collaborate with Cloud/DevOps teams on AWS database services (RDS, Aurora, DynamoDB, EC2, S3) to optimize cost, security, and performance. 7. Establish monitoring dashboards & alerting mechanisms for slow queries, replication lag, deadlocks, and capacity planning. Ensure compliance & security standards—encryption, auditing, and regulatory requirements. 8. Lead incident management & on-call rotations, ensuring rapid response and minimal MTTR. 9. Act as a strategic technical partner, contributing to database roadmaps, automation strategy, and adoption of AI-driven DBA practices. Required Skills & Experience 1. 6–10 years of p