E Commerce Crm Campaign Manager in India

Overview The Insights team delivers high-quality research, market intelligence, and data-driven analysis to support clients’ strategic and investment decisions. Working across industries-including healthcare and medtech-the team combines primary and secondary research with deep analytical capabilities to generate actionable insights. Team members collaborate closely with global stakeholders to translate complex information into clear, impactful outputs. The Project Manager – Insights is responsible for overseeing the end-to-end delivery of research projects, ensuring timelines, quality standards, and client expectations are consistently met. This role coordinates across internal teams and stakeholders to manage multiple concurrent projects, streamline workflows, and drive execution. The ideal candidate combines strong organizational and communication skills with an ability to translate complex project requirements into efficient delivery. This is a hybrid position out of our Mumbai OR Pune office What You’ll Do : Manage end-to-end delivery of research and insights projects, ensuring timelines and quality standards are met Coordinate across analysts, researchers, and stakeholders to execute project plans Define project scope, objectives, and deliverables in collaboration with internal teams and clients Track project progress, manage risks, and proactively address bottlenecks Oversee preparation and delivery of client-ready reports, presentations, and outputs Ensure consistency, accuracy, and quality of insights and deliverables Optimize workflows, processes, and tools to improve efficiency and scalability Support resource allocation and prioritize workload across multiple concurrent projects Maintain clear and consistent communication with stakeholders on timelines and outcomes What You Have : Bachelor’s degree from an accredited college/university (e.g., Business, Economics, Life Sciences, or related field) +4 years of experience in project management, consulting, r

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Job Summary We are seeking a experienced Oracle DBA to manage and optimize our Oracle E-Business Suite 12.1.3 environment, with a roadmap to upgrade to 12.2 or migrate to Oracle Cloud. The ideal candidate will have deep expertise in Oracle database administration, EBS application support, and performance tuning, along with familiarity in tools like SharePlex and Hyperion. This role is critical to supporting financial closure cycles and ensuring database reliability and performance. Key Responsibilities: Administer and maintain Oracle EBS R12.1.3 environments, including patching, cloning, backups, and upgrades. Lead and support the upgrade path to Oracle EBS 12.2 or migration to Oracle Cloud Infrastructure (OCI). Support month-end, quarter-end, and year-end financial closure activities, ensuring system stability and performance. Perform database cloning for development, testing, and troubleshooting purposes. Troubleshoot and optimize SQL queries and PL/SQL code for performance and reliability. Monitor and optimize database performance, availability, and scalability. Manage concurrent managers, workflow serv

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Job Summary We are seeking a experienced Oracle DBA to manage and optimize our Oracle E-Business Suite 12.1.3 environment, with a roadmap to upgrade to 12.2 or migrate to Oracle Cloud. The ideal candidate will have deep expertise in Oracle database administration, EBS application support, and performance tuning, along with familiarity in tools like SharePlex and Hyperion. This role is critical to supporting financial closure cycles and ensuring database reliability and performance. Key Responsibilities: Administer and maintain Oracle EBS R12.1.3 environments, including patching, cloning, backups, and upgrades. Lead and support the upgrade path to Oracle EBS 12.2 or migration to Oracle Cloud Infrastructure (OCI). Support month-end, quarter-end, and year-end financial closure activities, ensuring system stability and performance. Perform database cloning for development, testing, and troubleshooting purposes. Troubleshoot and optimize SQL queries and PL/SQL code for performance and reliability. Monitor and optimize database performance, availability, and scalability. Manage concurrent managers, workflow serv

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role EnCharge AI is seeking a highly skilled and experienced AI Compiler Engineer to spearhead the efforts in developing and optimizing graph compilers tailored to cutting-edge AI and ML workloads. You will collaborate with hardware architects, and AI researchers to enhance performance, optimize computation graphs, and enable efficient model deployment on EnCharge’s Inference Accelerators. Responsibilities Architect, design, and implement optimizations for AI model execution on graph compilers to improve performance, reduce latency, and maximize hardware utilization. Work closely with ML researchers, hardware engineers, and software developers to design and deploy AI models, understanding and addressing hardware-specific challenges. Work on performance optimizations for neural network models, such as layer fusion, operator fusion, and graph-level transformations. Develop compiler optimizations and passes that convert high-level AI models (e.g., from TensorFlow, PyTorch) into intermediate representations (IR). Implement parsing, semantic analysis, and IR generation for deep learning frameworks. Research and integrate the latest advancements in compiler design, ML model optimizations, and hardware acceleration into graph compilers. Provide leadership, mentorship, and technical guidance to a team of engineers focused on graph compiler optimizations. Qual

AI Software Engineer, Agent Harness Location: Bengaluru, Karnataka (or throughout India remote-friendly with travel) About EnCharge AI EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation. The Opportunity We serve open-weight models and our own bespoke checkpoints on EnCharge hardware. The models change often, and the harness around them needs to keep up. You own this layer that runs agents against files, tools, documents with permissions, memory, unattended execution, and real outputs. It will be assembled from a combination of open-source and bespoke code. Key Responsibilities Own the harness architecture end to end — agent loop, safe execution, context management, knowledge base, memory, permissions, orchestration, outputs, interfaces, observability — one component per layer, with clear interfaces so layers can be swapped. Build the pieces with no open-source equivalent e.g. session semantics, enforced permissions, memory in a human-editable file, orchestrator, and outputs. Keep pace with the models: adapters, prompt formats, tool-call schemas, stop conditions, benchmarking and evaluation. Make tool use reliable across models of uneven tool-calling quality — validation, repair, retries, fallbacks. Develop agents, tools, and MCP servers for internal and customer use cases, and review them for security before they ship. Build the evaluation harness: task suites, regression runs on every model or harness change, cost and latency per task alongside quality. Define the interfaces:

Job Title: Liquidity - BA Reporting Applying predefined regulatory rules and mappings to support regulatory submissions under guidance/supervision. Basic variance analysis and reconciliation activities Understanding and applying documented procedures for regulatory reporting. Regulatory impact assessments and benchmarking activities using predefined methodologies, with interpretation performed under supervision. Strong understanding of regulatory reporting frameworks (PRA, EBA, ECB, Basel, Liquidity, Capital, IRRBB) Solid grounding in finance, accounting, balance sheet & RWAs. Proven experience working in large, global financial institutions Documenting business and functional requirements.. Experience in project governance, RAID/status reporting, steerco delivery, and coordinating across BA/IT/testing workstreams. Exposure to controls frameworks, audit readiness, and issue remediation within regulatory reporting environments. Familiarity with collateral management, intraday liquidity, or supply chain management reporting domains. Experience with reporting remediation, communications delivery, or governance within regulatory change programmes Desirable: Provides subject matter expertise and judgement to assess and resolve complex, ambiguous, or emerging regulatory reporting requirements (e.g. PRA, ECB), where established procedures or precedents may not exist

Job Title: Full Stack Software Development Engineer II (SDE II) Team: Product Engineering Location: Bangalore, India Employment Type: Full-time About the Role As a Full Stack SDE II in Sigmoid's Product Engineering team, you will take ownership of building scalable, reliable, and user-centric web applications. You will collaborate closely with product managers, designers, and system architects to drive features from design to deployment, ensuring robust frontend performance, clean backend services, and efficient database architectures. Key Responsibilities Full Stack Development Design and build responsive, high-performance web interfaces using React, TypeScript, Tailwind CSS, and Shadcn UI, backed by reliable API services using Node.js or Python (FastAPI). Database & API Design Model, query, and optimize relational data structures in PostgreSQL. Design, build, and maintain clean RESTful APIs and microservices. Code Quality & Best Practices Apply SOLID principles, basic design patterns, and clean code principles to write maintainable, scalable, and self-documenting code. Testing & Quality Assurance Implement comprehensive test suites using Jest, React Testing Library, or backend testing frameworks (e.g., PyTest) to maintain high code coverage and prevent regressions. Agile Execution Actively participate in Agile ceremonies (sprints, stand-ups, retrospectives, and planning) to deliver quality code incrementally. Collaboration & Mentorship Partner with cross-functional teams and mentor junior engineers through constructive code reviews and technical guidance. Requirements & Qualifications Technical Skills Frontend 3–5 years of hands-on experience with React, TypeScript, Tailwind CSS, and modern UI component libraries like Shadcn UI. State & Data Fetching Experience with modern client-side state management and data-fetching libraries (TanStack Query, Zustand, or Redux Toolkit). Backend Strong expertise in server-side development using Node.js or

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! Staff Software Engineer, Full Stack (Frontend Heavy) - Content Experience Team About the Role We are looking for a hands-on Full Stack (Frontend Heavy) Staff Software Engineer to join our team and lead efforts in building scalable, performant, and reliable software systems that power the AlphaSense platform. You will play a key role in shaping technical architecture, mentoring engineers, and driving engineering excellence across teams. This is a high-impact role for an experienced engineer who thrives on solving complex problems and delivering robust, customer-focused solutions. Who You Are Bachelor's or Master's Degree in Computer Science or related discipline. Minimum 8 years of software development experience building scalable, high-performing, and robust applications. Strong proficiency in JavaScript with solid experience in full-stack development. E

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a highly technical Sr. Manager to lead our India-based Service Desk and IT Automation operations. This is a working-manager role: you'll personally execute technical work — scripting, automation builds, escalated ticket resolution — while also leading a team. If you're looking for a purely strategic or delegation-only leadership role, this isn't it. You'll manage a team spanning Service Desk, Tier 1 SOC support, and IT Automation Engineering, driving the technical maturity of our global support infrastructure through automation, scripting, deep systems integration, and increasingly, AI-augmented workflows. This role reports to the Director of End User Systems, with close, day-to-day partnership across US-based Desktop Support managers. For the right candidate, this role has a clear path to Director as we continue scaling our India GCC — with growth into that level anticipated within 12–18 months. This is also a strong fit for a Director-level leader currently at a SaaS startup who's looking to move into a larger, enterprise SaaS organization — and who is open to a step down in title now in exchange for a step up in scale, platform, and long-term trajectory. You Will IT Automation & Architecture Drive the IT automation function, identifying repetitive Tier 1 tasks and owning their automation end-to-end — from scoping through build, testing, and measurement Evaluate and build AI-augmented automation where it meaningfully reduces toil (e.g. intelligent ticket triage, SOC alert summarisation, AI

Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team We are looking for a Software Development Engineer to assist in building and strengthening our Identity UI team. GoDaddy is a global products seller to customers from all over the world. Our Identity UI serves login, account create as well as profile and preferences for all GoDaddy’s customers. The UI’s we build are among the first the users see on their customer journey, and helps the user keep their profile up to date. Does that sound exciting to you? Then you are made for the role. What you'll get to do... Develop and enhance user-facing features using React Optimize application performance, load times, and overall user experience while modernizing existing UIs Build and maintain unit, integration, and end-to-end test coverage, delivering through CI/CD pipelines Use AI-assisted development tools as part of your daily workflow while critically reviewing and validating generated code Collaborate within a global Agile team alongside product, design, and backend engineering partners Your experience should include... 3+ years of software engineering experience building large-scale applications or distributed systems Strong proficiency in JavaScript, HTML, and CSS, with an understanding of React.js and modern frontend development principles Experience working with RESTful APIs and a foundational understanding of accessibility (a11y) best practices Experience using version control systems (Git preferred), working in Agile teams, and testing and deploying code through CI/CD pipelines (e.g., GitHub Actions) Experience using AI-assisted

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity We are looking for a Senior Account Executive - Enterprise to join our extraordinary Sales team and help us drive the market amongst our growing customer base. Right now, companies across every size and vertical are focused on improving uptime & performance to ensure a phenomenal customer experience, gaining greater scale and efficiency through projects like AI adoption, multi-cloud ecosystem, accelerating time to market through digital channels , and speed and agility by embracing DevOps practices. With the massive market opportunity in front of us, there isn’t a more exciting time to join New Relic. Responsible for selling to all stakeholders within new accounts and crafting strategies to win new logos. Collaborate with all New Relic sales support resources (e.g., executives, demand generation, solution consulting) to support prospect interests. Understand how to position New Relic to beat the competition. What you'll do Expanding Top of Funnel – Complement centralized marketing campaigns with own prospecting, develop relationships and alignment at multiple levels – C level executive sponsors, influencers, and day-to-day users. Establish positive relationships that drive interest. Driving Account Acquisition – Own territory and cultivate relationships with all pertinent stakeholders within target accounts to maximize sales into new accounts with the objective of being part of the customers’ long-term business solution. Identify customer needs and then co

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Quality Analyst, you will support the Quality Manager and the broader team in maintaining quality controls, executing calibration reviews, and ensuring smooth auditing operations with our vendor partners. You will play a crucial role in validating audit accuracy, analysing performance trends, and identifying grading discrepancies, helping to safeguard platform integrity and streamline vendor quality processes. You Will: Assist in executing regular quality compliance reviews and operational audits to ensure vendors adhere to established grading rubrics. Conduct daily audits of vendor customer service and moderation audits to verify accuracy and policy alignment. Gather, format, and maintain quality performance metrics and audit data to highlight recurring errors or vendor grading drift. Support the Lead in coordinating with Moderation, Customer Support, and Global Scaled Operations teams to resolve quality disputes. Participate in calibration sessions to ensure consistent interpretation of trust and safety policies across all vendor sites. Help test and implement new quality automation tools or auditing platforms introduced by the technical and leadership teams. You Have: 3-5 years of e

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and