Cloud Qa Jobs

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Product Manager will lead critical areas within self-service cloud growth, empowering self-service customers and trial users to be successful. This role specifically focuses on human user onboarding and agents onboarding, directly influencing the successful growth of Elastic Cloud. What You Will Be Doing Define the vision and roadmap for self service cloud growth, encompassing: onboarding and trial experience, product features adoption and trial activation, customer interviews and churn analysis, product engagement analytics and email nurturing. Partnering with engineering leads to prioritizing technical investments and establishing realistic delivery timelines. Collaborate with downstream Elastic solution teams (Observability, Security, Enterprise Search) to understand their specific onboarding flows and trial experience. Drive technical decision-making regarding onboarding, activation, expansion and retention of self-service customers. Interface with customers and trial users to gather feedback on trial experience. Collaborate with Sales & Marketing on competitive positioning and brand awareness. Drive native integrations with 3rd party developers platforms. What You Bring 4+ years of Product Management experience with deep technical products. Strong background and experience with Product Led Growth. Demonstrated

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Product Manager will lead critical areas within self-service cloud growth, empowering self-service customers and trial users to be successful. This role specifically focuses on human user onboarding and agents onboarding, directly influencing the successful growth of Elastic Cloud. What You Will Be Doing Define the vision and roadmap for self service cloud growth, encompassing: onboarding and trial experience, product features adoption and trial activation, customer interviews and churn analysis, product engagement analytics and email nurturing. Partnering with engineering leads to prioritizing technical investments and establishing realistic delivery timelines. Collaborate with downstream Elastic solution teams (Observability, Security, Enterprise Search) to understand their specific onboarding flows and trial experience. Drive technical decision-making regarding onboarding, activation, expansion and retention of self-service customers. Interface with customers and trial users to gather feedback on trial experience. Collaborate with Sales & Marketing on competitive positioning and brand awareness. Drive native integrations with 3rd party developers platforms. What You Bring 4+ years of Product Management experience with deep technical products. Strong background and experience with Product Led Growth. Demonstrated

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Product Manager will lead critical areas within self-service cloud growth, empowering self-service customers and trial users to be successful. This role specifically focuses on human user onboarding and agents onboarding, directly influencing the successful growth of Elastic Cloud. What You Will Be Doing Define the vision and roadmap for self service cloud growth, encompassing: onboarding and trial experience, product features adoption and trial activation, customer interviews and churn analysis, product engagement analytics and email nurturing. Partnering with engineering leads to prioritizing technical investments and establishing realistic delivery timelines. Collaborate with downstream Elastic solution teams (Observability, Security, Enterprise Search) to understand their specific onboarding flows and trial experience. Drive technical decision-making regarding onboarding, activation, expansion and retention of self-service customers. Interface with customers and trial users to gather feedback on trial experience. Collaborate with Sales & Marketing on competitive positioning and brand awareness. Drive native integrations with 3rd party developers platforms. What You Bring 4+ years of Product Management experience with deep technical products. Strong background and experience with Product Led Growth. Demonstrated

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Product Manager will lead critical areas within self-service cloud growth, empowering self-service customers and trial users to be successful. This role specifically focuses on human user onboarding and agents onboarding, directly influencing the successful growth of Elastic Cloud. What You Will Be Doing Define the vision and roadmap for self service cloud growth, encompassing: onboarding and trial experience, product features adoption and trial activation, customer interviews and churn analysis, product engagement analytics and email nurturing. Partnering with engineering leads to prioritizing technical investments and establishing realistic delivery timelines. Collaborate with downstream Elastic solution teams (Observability, Security, Enterprise Search) to understand their specific onboarding flows and trial experience. Drive technical decision-making regarding onboarding, activation, expansion and retention of self-service customers. Interface with customers and trial users to gather feedback on trial experience. Collaborate with Sales & Marketing on competitive positioning and brand awareness. Drive native integrations with 3rd party developers platforms. What You Bring 4+ years of Product Management experience with deep technical products. Strong background and experience with Product Led Growth. Demonstrated

We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team: As organizations rapidly invest in AI applications and build out AI labs, telemetry volumes are growing exponentially and costs are becoming unpredictable. From LLM interactions to agentic workflows, AI systems generate unpredictable streams of logs, driving up costs and making it harder to maintain efficient observability. These challenges are critical for organizations in regulated industries with strict data residency requirements, where data must remain within controlled environments. Datadog’s Bring Your Own Cloud (BYOC) team is reimagining what observability and security look like at petabyte scale in the AI era. The Opportunity: The Group Product Manager - Bring Your Own Cloud (BYOC) role is responsible for defining and bringing to market the next generation of telemetry analytics and insights capabilities in an AI-first environment. This role is highly technical and creative in nature as you will envision novel ways to enable customers to cost-effectively explore, analyze and report over petabytes of data through a welcoming and easy-to-use interface. You will partner with various teams to take advantage of BitsAI capabilities and surface critical insights on volume usage and retention for popular use cases. 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: Lead and grow a team

【About Appier】 Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. 【About the role】 As a Technical Solutions Engineer Intern, you will follow established guidelines and SOPs to help customers integrate and optimize our products, troubleshoot and explore technical issues, and provide expert guidance. Your main responsibility is to execute each task with precision and consistent service. - Efficiently follow established guidelines and SOPs to assist new clients with a smooth onboarding and go-live process. - Maintain a high degree of precision when documenting, communicating, and processing the work and issues to ensure every detail is accurately captured. - Create and update technical documentation, knowledge base articles, and FAQs to help both customers and internal teams. - Effectively communicate technical concepts and problems to both technical and non-technical teams. - Assisting in the evaluation and integration of generative AI tools and platforms into existing workflow. 【About you】 - Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field. - Basic knowledge of programming, algorithms, and data structures is required. - Excellent written, verbal communication skills, with the ability to collaborate effectively with teams. - A passion for technology and a desire to learn. - Able to utilize generative AI tools effectively. 【Nice to have】 - Familiarity with the components

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Open to overseas candidates/Visa Support This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team , which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you’ll further improve bidding strategies, audience targeting and creative optimization by deep-diving RTB ecosystem including SSP/DSP/MMP to design the strategy, enhancing user signals or applying advanced deep learning model What You’ll Work On Deep-dive the RTB ecosystem to identify the potential direction and decide the bidding strategy Leverage advance deep learning model to improve bidding/audience model performance Co-work with teams to improve real-time/long-term user interaction signal collection and to further improve model performance What We’re Looking For Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, or related field. 3+ years of industry experience on RTB ecosystem Proficiency in Python and SQL experience with modern ML frameworks and deep learning model (PyTorch, TensorFlow, etc.). Strong ownershi

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Open to overseas candidates/Visa Support This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team , which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing , and personalized content recommendation , while ensuring system robustness and scalability in a dynamic market environment. What You’ll Work On Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes. Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization. Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions. Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning). What We’re Looking For Bachelor’s degree in Computer Science, Mathem

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team , which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing , and personalized content recommendation , while ensuring system robustness and scalability in a dynamic market environment. What You’ll Work On Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes. Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization. Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions. Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning). What We’re Looking For Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred. 4+ years of industry experience in ad tech , with a focus on performance optimization. Proven experience in applied machine learning , especial

Systems Software Engineer - AI and Cloud — CA, Santa Clara. Apply via Workday.

Senior Software Engineer - Salesforce Sales/Health Cloud — 11 Locations. Apply via Workday.

FreeWheel Commercial Marketing Manager (Buyer Cloud) — NY - New York, 1407 Broadway Floor 12. Apply via Workday.

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

(GAQ427R230) About the role As customers build their mission-critical data and AI workloads on Databricks, our shared cloud platform infrastructure is scaling at unprecedented speed. We are looking for a Product Finance Senior Manager to own the economics and financial operations of our multi-cloud platform spend. You will be a key finance partner to our Cloud Engineering and Infrastructure Operations leaders, with a mandate that spans driver-based cloud forecasting, infrastructure efficiency roadmaps, and scalable cost attribution across our product portfolio. The impact you will have Drive analytics and modeling to understand how platform spend scales Lead deep data analytics to identify the underlying drivers of shared cloud platform spend across products, cloud providers, and global regions. Build robust, driver-based forecasting models that accurately predict infrastructure spend across regional expansion, customer scale, and new product launches. Partner with Cloud Infrastructure Operations to design a forward-looking cost attribution model that accurately maps shared platform expenses to individual products. Establish robust KPIs and operations to achieve unit economics goals Partner with Engineering to define north star efficiency KPIs across core platform services and storage/compute layers. Build the infrastructure efficiency roadmap alongside Engineering and translate technical optimizations into committed operating and gross margin targets. Drive tight operational rhythms and reporting so product and engineering leaders have clear visibility to execute against their unit economic goals. Scale cloud finance operations and systems Bring systems-level thinking to cloud FP&A processes, building automated workflows that scale as our multi-cloud footprint and commitment structures become increasingly dynamic. Ensure cloud cost allocation frameworks, monthly accruals, and reporting pipelines remain rigorous, auditable, and scalable as the business co

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager, Business Development & Cloud Partnerships Enablement APAC Overview: Mastercard Services is building a cloud channel to distribute its ISV and SaaS products through the hyperscalers. AWS is the priority, followed by Microsoft Azure, Alibaba Cloud, and others across Asia Pacific. The priority products are in MarTech (Dynamic Yield personalisation) and cybersecurity (Recorded Future threat intelligence). As Partner Enablement Manager, reporting to Director, Cloud Partnerships APAC, you will make sure hyperscaler sellers understand what Mastercard brings and why it matters to their customers. You will also make sure Mastercard's own sellers know how to work with the hyperscalers instead of around them. Everything you build should lead to registered opportunities, co-sell activity and revenue through cloud channels. Role/Responsibilities: • Hyperscaler Enablement: Getting Cloud Partners Ready to Sell Mastercard o Design and deliver enablement programs for hyperscaler field teams (account managers, partner managers, solutions architects and marketplace specialists) on Mastercard Services products. o Build role-based content that gives partner sellers a reason to bring Mastercard into their accounts: value propositions, customer use cases, discovery questions, joint sales plays and objection