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 We are hiring a senior quality engineer to own System Testing for Pure’s FlashArray products. You will validate stability, resiliency, and performance under sustained, production‑like workloads , far beyond basic functional testing. You will design and run multi‑week, customer‑like scenarios that combine workloads, failovers, upgrades, and fault injections, and use the insights to influence architecture, design, and release decisions. This is a hands‑on, high‑impact role at the intersection of architecture, systems, and large‑scale testing—acting as a key quality gate before releases reach Pure’s customers. WHAT YOU'LL DO Own System Testing strategy for releases Define System Testing strategy and test plans for major features and releases, focusing on stability, longevity, and end‑to‑end behavior, not just feature correctness. Design realistic, high‑value scenarios Build scenarios that mirror Pure customer environments: mixed workloads (block, file, object), long‑running IO, failovers, NDUs, hardware events, and background operations (replication, snapshots, quotas, etc.), combining automation with targeted “tortures”. Drive execution and triage on System Testing beds Own System Testing environments (arrays, initiators, OSes, accessories); keep them healthy, representative, and well‑instrumented. Monitor runs, triage failures quickly, separate infra issues from product bugs, and file high‑quality defe
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Platform Operations Specialist in India
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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 As our International Treasury Manager, you will shape and safeguard Everpure's financial foundation across international entities. Partnering closely with Accounting, Tax, FP&A, Legal, Payroll and Accounts Payable, you will lead regional cash management, optimize intercompany liquidity, and scale high-impact banking infrastructure. You will leverage AI-enabled tools and automated workflows to transform cross-border financial operations into a seamless, high-performing growth engine. This role offers the unique opportunity to drive capital efficiency, mitigate risk, and directly fuel Everpure's global expansion. WHAT YOU'LL DO Optimize Global Liquidity & Capital: Mastermind regional cash optimization strategies and intercompany funding structures to maximize capital efficiency, execute short-term investments, and minimize idle liquidity across international entities. Lead Banking Relationships & Governance: Serve as the strategic operational lead for international financial institutions, managing account lifecycles, user access controls, and periodic KYC compliance to maintain robust financial governance. Build Predictive Cash Models & Trade Finance: Develop high-accuracy liquidity forecasts and deploy AI-assisted analytics to evaluate cash variance, while managing Letters of Credit (LCs) to ensure trade compliance and support business scale. Drive Cross-Functional Excellence & Compliance: Partn
Job Title: E-commerce Executive Location: Noida Sector 10 Department: E-commerce Operations Experience Required: 1 3 years with Flipkart, Amazon aid campaign (Marketplace handling experience preferred) Role Overview We are looking for a detail-oriented and proactive E-commerce Executive to manage daily operations on online marketplaces such as Flipkart, Amazon, Meesho and others. The candidate will be responsible for updating pricing/discounts, managing catalogue uploads, coordinating with marketplace teams, and maintaining reports in Excel. Key Responsibilities • Manage product listings, catalogue uploads, and content updates on marketplaces (Flipkart, Amazon, Meesho, etc.) • Update discounts, pricing changes, promotional offers, and campaign setups as per business requirements. • Coordinate with marketplace category managers for day-to-day operations, campaign approvals, and escalations. • Track and reconcile orders, returns, payments, and commissions charged by marketplaces. • Prepare daily/weekly reports sales, inventory, returns, and performance analytics using Excel. • Ensure inventory accuracy and smooth order flow (from listing to dispatch). • Perform competition analysis and maintain pricing competitiveness. • Work closely with operations, dispatch, and finance teams for order fulfilment and reporting. Required Skills • Strong Excel skills (VLOOKUP, Pivot Table, basic formulas). • Understanding of online selling platforms and marketplace dashboards (Myntra Partner Portal, etc.). • Good communication and coordination skills. • Analytical mindset and attention to detail. • Ability to work independently and manage multiple marketplaces simultaneously. Qualification • Graduate in any field (Commerce / Management preferred). • Experience in e-commerce marketplace handling is a strong advantage. Why Work with Us • Fast-growing Party Product Manufacturing brand with strong marketplace presence. • Exposure to Flipkart, Amazon and other top e-commerce platform
About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Ema is building the world’s first Universal AI Employee — an agentic AI platform that automates complex, cross-system enterprise workflows end-to-end, with humans in the loop where it matters. Unlike copilots or narrow automation tools, Ema deploys production-grade multi-agent systems that integrate deeply with enterprise SaaS platforms and execute real business processes at scale. Our customers don’t experiment — they replace brittle, manual operations with reliable AI systems that deliver measurable outcomes. Founded by leaders from Google, Coinbase, and Okta , and backed by top-tier investors, Ema operates at the frontier of enterprise AI execution , not demos. With teams across Silicon Valley and Bangalore, we are defining how agentic AI is delivered responsibly, reliably, and at scale. If you care about building and shipping real AI systems that work in production , this role is for you. Who You Are The Customer Engagement Manager owns the delivery and stabilization of Ema’s agentic AI solutions — from commitment through production rollout and steady state. This is not a research role , a support role or a coordination only project management role. You are the delivery leader
About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are You are an experienced Infrastructure Engineer Engineer who owns backend infrastructure end to end. You design multi-tenant, microservices-based systems that other engineering teams build on, and you make deliberate architectural tradeoffs around consistency, latency, scale, and cost. You are comfortable going deep — service mesh internals, database internals, distributed-systems failure modes — and equally comfortable defining the reliability and security contracts an enterprise AI platform depends on. Responsibilities Design, own, and evolve scalable microservices architectures on Kubernetes across GCP, Azure, and AWS, including multi-tenant isolation (namespaces, network policies, per-tenant resource quotas and RBAC). Build core platform and data-plane components in Golang and Python — data ingestion, knowledge-base indexing and vector/graph search, application connectivity, workflow automation, and ML operations — against explicit latency and throughput SLOs. Own service-to-service communication: gRPC/protobuf API contracts, service mesh (Istio/Linkerd), load balancing, retries, timeouts, and circuit breaking. Make and document architectural tradeoffs — partitioning
About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. The Role We are looking for an Engineering Leader to manage and scale multiple product lines in the Voice, BPO, and Workforce Management space. This is a high-impact leadership role that sits at the intersection of real-time voice systems, operations research, and data-intensive platform engineering. You will report directly to the Head of Engineering and own the engineering organization that builds the infrastructure powering Ema’s Voice AI Employees, Agent QA, auto-learning pipelines, rich analytics, and workforce optimization capabilities — all operating as scalable, multi-tenant systems deployed across global geographies. You will collaborate with Product, ML/AI, and Go-to-Market teams to translate customer needs into production systems that handle high volumes of voice data, deliver real-time insights, and continuously improve through automated learning loops. As the owner of multiple product lines, you will balance roadmap priorities across Voice, BPO operations, and WFM (work force management) — ensuring each product evolves cohesively while meeting distinct customer needs. What You Will Do Scalable Multi-Tenant Systems Architect and build multi-tenant systems that serve ent
Opportunity Overview: Lead analytics and clinical configuration strategy for our auto-decisioning platform, driving end-to-end solutions from data gathering through scaled deployment. Partner cross-functionally to translate business needs into analytical frameworks, independently recommending actions that shape product and business outcomes. Own auto-decisioning strategy for new client implementations with minimal oversight, while ensuring explainable, governance-aligned analytics practices. Build and mentor a high-performing team, embedding best practices for scalable, reusable analytics solutions. Ideal for a strategic thinker who thrives at the intersection of hands-on execution and team leadership in a fast-paced, data-driven environment. What you’ll do: Provide thought leadership & strategic thinking to translate business problems into analytical and clinical configuration frameworks,and independently recommend actions and provide business insights Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analytic solutions that includes data gathering, analysis, ongoing scaled deliverables, and presentations Establish and maintain effective performance tracking; identify product and program improvement opportunities, form hypotheses, propose, design and implement tests to drive enhancement and optimization Foster a collaborative and innovative culture, set clear goals, mentor staff. Establish best practices and coach team members to develop and execute complex analytics initiatives with scalability and reusability in minds Develop, implement, and monitor day-to-day operations of analytics and clinical configuration team Execute analytics initiatives that directly impact our auto decisioning roadmap and business outcomes while working as part of a cross-functional team. Partner with Data Governance to ensure tractable and explainable analytics and responsible data Research, design, execute and optimize
SmartBear delivers application integrity for modern tech stacks, ensuring continuous, measurable assurance that software just works as intended with governance to operate at AI speed and scale. SmartBear offers deep test automation, API lifecycle management, and observability capabilities. With integrations across the SDLC, it sets a new quality standard for application delivery teams. SmartBear is trusted by developers, testers, and software engineers across 32,000 organizations, including 75% of the largest financial institutions and industry leaders such as Adobe, JetBlue, and Microsoft. SmartBear’s open source tools are downloaded more than 100 million times a month and have earned over 30,000 GitHub stars from the developer community. With its best-loved brands, including Swagger, TestComplete, Reflect, QMetry, Zephyr, and more, SmartBear meets customers where they are to make our technology-driven world a better place. Learn more at www.smartbear.com , or follow us on LinkedIn , X , and Reddit . At SmartBear, you will be part of a dynamic team solving one of the most critical challenges facing modern businesses: ensuring the integrity of software in an AI-driven world. Whether you are working directly with customers, driving go to market strategies, supporting operations, building products, or enabling teams, your contributions help shape the future of software quality for organizations worldwide. Join us in our mission. Senior Software Engineer – Java Solve challenging business problems and build highly scalable applications. Design, document and implement solutions in Java 8 and 17. Build and deploy services based on the AWS platform. Work with a high-performance team, working with continuous delivery and heavy test automation Product intro Zephyr provides test management capabilities to Atlassian products, working as a plugin/extension for Jira and Confluence, for managing both manual and automated testing processes. Using AI, users can transform thei
We are looking for a highly motivated AI/ML Software Engineer to join the Enterprise Agentic AI Platform team within IT. You will work closely with Business Analysts, and Engineering teams to design, develop, and deploy enterprise AI solutions that improve productivity and automate business workflows across Engineering, Operations, and Manufacturing. What you'll be doing: Design, develop, and deploy Agentic AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks. Build scalable AI services and reusable components integrated with enterprise applications such as PLM, SAP, and other business systems. Collaborate with business and IT teams to translate business requirements into AI-driven solutions. Develop secure, scalable APIs and enterprise integrations to enable intelligent workflows and automation. Improve AI solution quality, performance, and reliability through prompt engineering, evaluation, and continuous optimization. Partner with cross-functional teams throughout the Software Development Lifecycle (SDLC), from solution design through deployment and production support. What we need to see: Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or a related field. 6+ years of software engineering experience with strong proficiency in Python and backend application development. Hands-on experience with Generative AI, LLMs, RAG, AI agents, REST APIs, and cloud-native application development. Experience integrating enterprise applications and building scalable, production-ready software solutions. Strong analytical, problem-solving, communicatio
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We’re looking for a highly organised and people-centric Office Manager to join our team and serve as the bridge between our regional office and broader company culture. In this role you’ll manage day-to-day office operations, provide a welcoming experience for employees and guests, and support critical people operations initiatives - from onboarding to benefits to union relations. The ideal candidate is a proactive problem-solver who thrives on human interaction, has the ability to juggle multiple work streams and brings local language and cultural fluency to the workplace. This is a key role that ensures our regional office runs smoothly, reflects our values, and supports our employees throughout the full employee lifecycle. This is a full time hybrid role that will be held from our Bengaluru hub (4 days onsite). What you'll do at Figma: Own the day-to-day workplace experience, serving as the face of the office and ensuring a welcoming, inclusive, safe, clean, and fully operational environment for employees, guests, and vendors Manage workplace operations and external vendors, including office supplies, equipment, facilities requests, service delivery, and vendor performance to ensure a consistently high-quality employee experience Plan and deliver local office experiences, including meetings, team offsites, celebrations, cultural holidays, ERG activities, and volunteer events, with flexibility to support occasional out-of-hours programming Partner cross-functionally with IT, Security, Faciliti
About AiDASH AiDASH is leading the PreventionFirst™movement for electric utilities and transforming grid resilience through its pioneering platform that unifies vegetation, asset, storm, and wildfire intelligence. Powered by SatelliteFirst™ Inspection & Monitoring, AiDASH delivers comprehensive visibility across the entire grid at the right frequency and budget, using the right data modality. More than 200 customers trust AiDASH to keep the lights on, spend where it counts, and defend every decision, Securing Tomorrow across every mile of the grid. Learn more at www.aidash.com. The PreventionFirst movement is growing, and so is the recognition behind it. In 2026, Forbes named AiDASH one of America's Best Startup Employers for the 4th consecutive year, and TIME included AiDASH among America's Top GreenTech Companies for the 3rd year in a row. Deloitte Technology Fast 500 ™ ranked AiDASH No. 12 in the San Francisco Bay Area, and No. 59 overall in their selection of the top 500 for 2024. Join us in Securing Tomorrow Together! The Role AiDASH is looking for a high-agency Program Manager to help scale our AI Data Ops function: the team responsible for sourcing, processing, and annotating the satellite and remote sensing imagery that powers our AI/ML models. This role is a new addition to the leadership team, created specifically to bring an automation-first, numbers-backed, process-driven operating model to how Ops runs . This role is designed to reduce operational complexity over time, not to manage individual queues or projects indefinitely. You will sit at the intersection of strategy, operations, vendor management, and data science delivery, helping AI Data Ops evolve from a fast-scaling function into a well-designed, repeatable operating system. You will need to zoom in to solve real problems on the ground — a stuck vendor SLA, a high priority escalation, a broken handoff — and z
OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT We are looking for a Software Engineer, Platform & Integrations . You will own the end-to-end delivery of complex features, optimize backend performance, and collaborate on architectural decisions that impact more than 1,000 enterprise customers worldwide. This is an ideal role for an experienced engineer who thrives on technical autonomy, enjoys tackling complex cloud-native challenges, and wants to have a direct impact on product direction. Feature Ownership & Architecture: Design, build, and maintain scalable, secure, and highly observable backend services and microservices using Java and Spring Boot. Platform Evolution: Actively contribute to upgrading our core platform infrastructure, focusing on system resilience, performance tuning, and seamless component communication. Security & Compliance: Implement rigorous secure coding practices to safeguard data exchange and ensure compliance across our multi-tenant SaaS environment. Collaborative Execution: Work closely with Product, QA, and senior le
OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT We are looking for a Software Engineer, Platform & Integrations . Working closely with senior and lead engineers, you will design, develop, and maintain high-quality features that power enterprise data exchange for more than 1,000 customers worldwide. This is an incredible opportunity to deepen your expertise in cloud-native architectures, enterprise security, and modern DevOps practices in a fast-growing product environment. Feature Development & Design: Write clean, maintainable, and well-tested code using Java and Spring Boot to deliver scalable backend services and microservices. Platform Reliability: Contribute to enhancing the monitoring, logging, and observability of our core platform to ensure high availability and performance. Security & Compliance: Implement secure coding practices to safeguard data exchange and maintain compliance across our cloud infrastructure. Collaborative Execution: Work within an agile team, collaborating closely with QA, Product, and fellow engineers to deliver high-qual
OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT The Implementation Consultant role is instrumental in assisting Redwood customers ranging from Fortune global enterprises to midsized businesses to leverage our solutions to orchestrate automation across distributed and heterogeneous platforms and enterprise business applications including SAP, Oracle, PeopleSoft, data warehousing and OS tasks. The range of responsibilities includes product installation and configuration, training, conducting workshops and providing best practices guidance to advance our customer’s automation business needs. Assist customers with installation, configuration, training and use of Redwood solutions. Perform analysis, scoping, and effort estimation to meet customer requirements. Provide configuration, architecture & installation recommendations based on product best practices & customer needs. Coordinate with other Redwood resources including Engagement Managers to update project status, timeline, effort, and expected completion. Communicate effectively and p
At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior Data Scientist, you will build and own machine learning models that power core prediction problems across the FourKites platform — including ETA/ATA forecasting and message-based status extraction. You will work end-to-end, from data pipeline to production deployment and monitoring, turning noisy real-world logistics data into models that run at scale and directly move the needle on customer outcomes. You will work closely with product, engineering, and operations teams, hands-on building and shipping models yourself while also guiding the technical direction of other data scientists on the team. What you'll be doing: Design, build, and productionize ML models for problems like ETA/ATA prediction, using regression, classification, and time-series forecasting techniques Develop NLP/LLM-based extraction pipelines for message-based ETA and status updates (text extraction, entity recognition) Own models end-to-end: data pipeline → training → deployment → monitoring → retraining Work with noisy, real-world logistics and supply chain data (GPS pings, check calls, carrier data) rather than clean, pre-processed datasets Diagnose gaps between offline evaluation performance and live production accuracy, and drive fixes Build and maintain automated training/retraining pipelines using orchestration tools such as Airflow Set up and maintain model monitoring and observability (e.g., Grafana) to catch drift and degradation proactively Replace manual or rule-based processes with ML-driven automation (e.g., automating manual check calls) Translate model performance improvements into busin
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