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 we are Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google). Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. All our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology. We’re well funded by the top investors and angels in the world. Ema is based in Silicon Valley and Bangalore, India. This will be a hybrid role where we expect employees to work from office three days a week. Who you are We are seeking an
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Business Systems Manager in India
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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
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. At Snowflake, our People team is the backbone of an extraordinary employee experience. As a Principal Integrations Developer on the People Systems team, you'll design, build, and maintain the integrations that connect our people systems — ensuring seamless, secure, and scalable data flow across our global ecosystem as Snowflake continues to grow. This is a hybrid role based in our Dublin, CA or Menlo Park, CA offices with 3 days a week in-office attendance required. WHAT YOU'LL DO: Design, build, test, and maintain Workday integrations using technologies such as Workday Studio, EIB, Core Connectors, and Workday Web Services (SOAP/REST) Partner with internal stakeholders and external vendors to understand business requirements and translate them into scalable integration solutions Provide production support for integrations, including monitoring, troubleshooting failures, performing root cause analysis, and implementing fixes Develop and maintain inbound and outbound integrations between Workday and third-party systems (e.g., payroll, benefits, finance, IT systems) Support data pipelines between Workday and our own instance of Snowflake, including the migration to Workday Zero Copy Data cloud Ensure data accuracy, integrity, and security across integrations, adhering to gove
About Us Paytm is India’s leading payments Super App, offering consumers and merchants a wide range of financial services. A pioneer of the mobile QR payments revolution, Paytm’s mission is to bring half a billion Indians into the mainstream economy through technology-led financial inclusion. Paytm Money is the wealth-tech arm of Paytm, enabling users to invest in mutual funds, equities, and derivatives seamlessly. Owned by One97 Communications, founded by Vijay Shekhar Sharma, the company is headquartered in Noida and backed by leading global investors. Role Overview We are looking for a strategic, business-oriented, and AI-forward Analytics Leader to drive data-led and AI-powered decision-making for Paytm Money across equities, mutual funds, and derivatives. This role will define and lead the analytics vision across user growth, trading behavior, portfolio analytics, customer lifecycle, monetization, and product experience, while partnering closely with Product, Growth, Business, Risk, and Engineering teams to scale Paytm Money’s wealth platform. The ideal candidate will bring deep expertise in financial markets, broking platforms, and investment products, along with strong experience in building scalable analytics functions. In addition, this leader should have worked intensively on AI-led modeling, predictive decision systems, AI adoption across analytics workflows, and data models designed for advanced analytics and machine learning use cases. This is not just a reporting or dashboarding role. It is a leadership role focused on building a proactive, predictive, and AI-enabled analytics engine that helps the business make faster, sharper, and more scalable decisions. Key Responsibilities 1. Analytics Strategy, AI Vision & Business Impact · Define and own the analytics and decision intelligence roadmap aligned with Paytm Money’s growth, engagement, and revenue goals. · Translate business problems across acquisition, activation, trading behavior, retention,
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. Cloud Support Engineer — AI/ML & Programmability (Night Shift) Location: Pune, India Snowflake's Support team is expanding. We're looking for a Cloud Support Engineer who enjoys working with data and solving a wide variety of problems, drawing on hands-on experience across operating systems, database technologies, big data, data integration, connectors, and networking. Our mission is to make Snowflake the preferred platform for running all AI, ML, data science, and data engineering workloads. You'll join a highly productive, fast-moving team supporting Snowflake Cortex and our ML product lines — work that is central to delivering on Snowflake's AI Data Cloud mission. Snowflake Support is committed to providing high-quality resolutions that help customers deliver data-driven business insights and results. We are a team of subject matter experts working collectively toward our customers' success, building partnerships by listening, learning, and connecting. Snowflake's values shape how we deliver world-class Support: putting customers first, acting with integrity, owning initiative and accountability, and getting it done. As a Cloud Support Engineer, you'll be the technical partner our customers turn to for guidance on using Snowflake effectively. You'll also be the voice
About the Role We are looking for a Director of Engineering – AI & Full-Stack SaaS to lead the engineering strategy and execution for a highly scalable, enterprise-grade SaaS platform. This role is ideal for a strong engineering leader who combines deep software engineering expertise, enterprise SaaS experience, cloud-native architecture, full-stack product development, and practical AI/GenAI adoption . The successful candidate will lead multiple engineering teams, drive architectural and technical decisions, improve engineering velocity and quality, and help embed AI across the software development lifecycle and product engineering ecosystem. Key Responsibilities Lead and mentor multiple engineering teams responsible for building and delivering enterprise SaaS products. Define and execute the engineering strategy, technical roadmap, architecture and development standards . Drive development of highly scalable, secure, reliable and cloud-native SaaS applications. Provide technical leadership across backend, frontend, APIs, microservices and distributed systems . Drive adoption of AI/GenAI tools and capabilities across the engineering lifecycle, including development, testing, code quality, productivity and automation. Partner closely with Product, Architecture, DevOps, Security and other cross-functional teams to deliver business-critical capabilities. Establish engineering best practices around design, coding, testing, CI/CD, observability, performance and reliability . Own engineering delivery, quality, scalability and operational excellence across multiple product areas. Identify and resolve complex technical and architectural challenges. Build a high-performing engineering culture focused on innovation, ownership, collaboration and continuous improvement . Evaluate emerging technologies and identify opportunities to leverage AI and automation to improve engineering productivity and product capabilities. Drive technical modernization and evolution of existing
At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is on the lookout for a talented Security Analyst within Security GRC to support Security Compliance Operations through recurring control validation, evidence review, reporting preparation, and remediation tracking. This role will help determine whether key security safeguards are operating as intended by performing manual and semi-automated validation activities, analyzing evidence from multiple sources, documenting control gaps, and preparing clear reporting that helps interpret validation results. This is a full-time permanent position based out of Rockstar’s studio in Bangalore, India. WHAT WE DO The Rockstar Games Security team is responsible for advancing the state of information security across the company globally in collaboration with numerous partners and stakeholders by prioritizing and executing security initiatives that drive down risk. We strive to understand the threat landscape affecting our development studios, the gaming industry, and the world at large to define information security policies, standards, and procedures to safeguard our business and protect our players. We lead efforts to build enterprise security controls ranging from endpoint protection technologies to security incidents and event monitoring solutions. We have a passion for identifying threats and vulnerabilities and coming up with clever solutions to mitigate or remediate those risks. RESPONSIBILITIES Perform recurring manual and semi-automated validation of security controls to confirm safeguards are operating as intended. Collect, review, and organize evidence from systems, tools, reports, an
About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role As a Forward Deployed Engineer for Implementation Partners at DevRev, you will be the technical bridge between DevRev, our implementation partners, and their customers. You will combine strong software engineering, systems integration, applied AI, and customer-facing problem solving to help partners successfully design, build, deploy, and scale solutions on the DevRev platform. This is not a traditional software engineering role. You will operate at the intersection of engineering, solution architecture, partner enablement, product expertise, and delivery . You will work directly with partners and customers to understand requirements, scope solutions, unblock implementations, and translate complex business workflows into AI agents, integrations, automations, and repeatable vertical solutions. You will own the technical partner journey end to end — from onboarding, enablement, and certification through solutioning, implementation delivery, technical adoption, and ongoing partner success. At the same time, you will build reusable internal tools, frameworks, playbooks, and product capabilities that allow DevRev and its partners to scale across multiple implementations. Success in this role requires strong techn
About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role As a Forward Deployed AI Strategist , you will serve as the lead technical strategist embedded with our customers. You'll own the end-to-end design of AI-driven business transformation projects from understanding domain-specific needs to architecting scalable agent-based solutions using DevRev’s platform. This role requires a unique blend of enterprise architecture, AI solutioning, customer empathy, and cross-functional collaboration. You’ll act as the connective tissue between pre-sales, customer success, engineering, and product teams bringing our AI capabilities to life for real-world impact. What you'll do Own Customer Context : Deeply understand customer business domains, systems, and OKRs/KPIs to guide solution design. Architect AI Transformation : Design and document AI-driven workflows, agents, skills, and system integrations that align with customer goals and industry best practices. Be a Trusted Advisor : Build strong partnerships with customer stakeholders as their technical counterpart, delivering confidence in our platform’s capabilities. Translate & Coordinate : Bridge the gap between pre-sales/CS and engineering, ensuring requirements are actionable and outcomes measurable. Design R
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. The Mission As a Lead Software Engineer working on the Appian platform, your mission is to be the technical anchor for our most ambitious engineering initiatives. You will ensure Appian is always fast, scalable, and resilient, regardless of the complexity our customers demand. While a Senior Engineer focuses on feature health, you are focused on platform evolution . You will lead the design and orchestration of high-stakes systems, integrating cutting-edge AI into the core fabric of our product. This role demands a balance of elite coding mastery, visionary system architecture, and the ability to align technical roadmaps with Appian's overarching business strategy. Key Responsibilities The Lead Software Engineer isn't just "the best coder"—they are the architect of the team’s success and the guardian of our technical future. Technical Strategy & Roadmap: Work alongside Product Leadership to transform long-term business goals into scalable technical milestones. You don't just build features; you define the technical "North Star." Advanced Architecture: Lead the design of distributed, event-driven, and cloud-native systems. You are responsible for making high-level decisions on system boundaries, data consistency, and integration patterns. AI Orchestration & Innovation: Drive the adoption of AI-native engineering and an AI-native culture within the team. This includes using AI tools to improve developer productivity and implementing AI features into the platform to make the Appian platform more intelli
Senior Data Scientist (FullStack Machine Learning) About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models and algorithms to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Set up and maintain CI/CD pipelines for automated testing and deployment. Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding and collecting the data. Write clean, maintainable and efficient code. Conduct performan
Senior Data Scientist (FullStack Machine Learning) About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models and algorithms to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Set up and maintain CI/CD pipelines for automated testing and deployment. Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding and collecting the data. Write clean, maintainable and efficient code. Conduct performan
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: WPP ET is undergoing a significant transformation to modernise ways of working, shift to cloud-based and micro-service architectures, increase automation, and digitise colleague and client experiences. Within this context, the Software Developer plays a key delivery role within the Chase Media Central programme, helping to build and maintain the technical foundation required for a successful multi-market rollout. The focus of this role is to design, develop, and support application components - particularly integrations, data-movement logic, and platform services - that allow Media Central (Microsoft Dynamics 365 Business Central) to interoperate smoothly with surrounding media and finance systems. While integrations form a central part of the scope, the role remains broad: you contribute to platform enhancements, application workflows, user-facing features, debugging, release readiness, and cross-team engineering practices. You will translate business and technical requirements into clear, maintainable code, prepare technical design documents, participate in code reviews, and troubl
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: WPP ET is undergoing a significant transformation to modernise ways of working and adopt cloud-based, micro-service architectures, automation, and digitised user experiences. Within this transition, the Lead Developer plays a strategic engineering role in the Chase Media Central programme, ensuring the platform’s custom extensions, integrations, data flows, and application components are built to enterprise standards and remain stable as the programme scales across regions. This is a hands-on technical leadership role: you provide architectural direction for integration patterns, lead development work, guide developers through complex technical problems, and define coding standards and engineering best practices. You act as the technical authority for integrations and platform components, ensuring that all custom code interacting with Business Central, local applications, and market-specific systems is reliable, scalable, and maintainable. You work closely with Product, QA, Implementation, Data, BI, and market teams to ensure code, interfaces, and workflows align with business requir
Toradex is a global company strongly focused on engineering & technology. We’re powered by a diverse & uniquely gifted workforce. We pursue the best people to propel our innovative vision of embedded computing and IoT. If you’re interested in being a driving force at an agile technology company, engineering clever computing solutions & helping other companies bring their products to life, we should talk. Description We are looking for a DevOps Engineer to strengthen our cloud operations and engineering practices, with a focus on reliable website delivery, secure AWS foundations, and fast but controlled delivery of new services. The position combines AWS operations, infrastructure as code, CI/CD, automation, and pragmatic software engineering. The person should be confident working with services for edge delivery, compute, storage, databases, DNS, security, and observability without relying on manual console changes as the default operating model. The role also supports on-premises to cloud migration, global service optimization, and practical responses to increasing AI-driven traffic. We value candidates who can use modern AI-assisted development effectively to spin up proof-of-concept projects quickly, while still applying disciplined Git, review, security, and deployment practices. About you You enjoy building stable, secure, and maintainable infrastructure that supports business-critical services. You can work independently and take ownership of cloud environments, deployments, and operational improvements. You are comfortable balancing speed, reliability, cost, and security when making technical decisions. You communicate clearly with technical and non-technical stakeholders and explain trade-offs in a practical way. You document your work well and create clear runbooks and support material for future maintenance. You are methodical when troubleshooting incidents and stay calm when systems are under pressure. You are curious about modern traffic patt
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