Account Manage Igtd in India

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

DR ASHWANI KUMAR VIJ : have been retained by a growing organisation, Providing IT Infrastructure / Engineering Design Services to select one : Marketing/Business Development Manager. KRA / Position Description : We are looking for a business development professional having around 8-10 years’ experience. The candidate should have a proven track record of successful international deal closures in IT Services or Engineering Design Services in Infrastructure / Construction segment. Candidate should have international sales experience in US, Europe and/or Australia regions and must have travelled to above said geographies in the past. Experience / Position Requirements / Profile : Minimum of 8 years’ of relevant international experience. Proven track record of successful deal closures with international customers in the IT Services or Engineering Design Services in Infrastructure / Construction segment. Must be comfortable with managing entire lifecycle right from prospecting, lead generation to deal closures and account management. Must be presentable with superior English speaking skills. Any other international language known would be an added advantage. Must have prior international travel experience and should be comfortable with foreign travels. Responsibilities: Manage the entire lifecycle of a customer relationship right from lead generation to successful deal closures. Identifying sales opportunities through primary, secondary research including building up and maintaining the prospects database. Prospect for potential new clients and turn this into increased business. Meet potential clients by growing, maintaining, and leveraging business network. Participation in events/conferences to build a sales pipeline. Work with technical staff and other internal colleagues to meet customer needs. Using knowledge of the market and competitors, identify and develop the company’s unique selling propositions and differentiators. Forecast sales targets

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Finance Operations (FinOps) team provides and enhances core business services that are the backbone of Stripe. FinOps uses data and operational excellence to deliver technology solutions, payroll services, operational excellence, and monetization services to Stripe. What you'll do We're looking for a Monetization Operations Analyst to join our growing team. You'll help us improve user experience through accurate and timely onboarding of contracts and workflows, and deliver improvements in our integrated financial systems with business partners, financial colleagues, and engineers. Responsibilities Onboard sold custom contracts into our billing systems. Work with legal contracts with strong attention to detail and accuracy. Develop and manage scalable billing and collection processes for complex user agreements and new business operations. Build scalable and auditable onboarding processes for new and existing users. Partner with internal systems, global deal management, legal, sales ops, internal audit, go-to-market, engineering, and accounting teams to develop and improve processes for contract reviews and to anticipate changing business requirements. Partner with account managers to resolve user inquiries related to onboarding implementation, billing, and collections. Advocate for the customer to internal stakeholders. Share system feedback and insights with Sales, Product Management, Engineering, Support, and Legal on innovation and im

Job Title Senior Software Technologist I - C++ Job Description Software Engineer II Your Role: • Design, develop, test, and maintain software components and applications using modern C++, C# in a Windows-based environment. • Participate in the full software development lifecycle including requirements analysis, design, implementation, testing, debugging, and maintenance. • Develop and maintain software applications using Visual Studio and associated C++, C# development tools. • Work with Windows operating system fundamentals including processes, services, registry, file system, User Account Control (UAC), and application configuration. • Create, enhance, and troubleshoot software modules while adhering to coding standards, design guidelines, and software development best practices. • Utilize GitHub for source control management including branching strategies, commits, pull requests, merges, rebasing, and code reviews. • Support and troubleshoot CI/CD pipeline issues using GitHub Actions and participate in continuous integration activities. • Manage software dependencies and package management using NuGet and Conan. • Configure and maintain build systems using CMake and Visual Studio project configurations. • Develop and execute unit tests using Google Test (GTest) to ensure software quality and reliability. • Perform debugging, root cause analysis, and defect resolution for software issues identified during development, testing, and field support activities. • Participate in peer code reviews and contribute to software quality, maintainability, and technical excellence. • Collaborate effectively with Software Verification, Product Management, DevOps, Architecture, and cross-functional teams to deliver high-quality software solutions. • Create and maintain

As a Customer Success Associate, you will focus on the long term strategic relationship with our customers, drive adoption, and identify growth opportunities across a high volume of Datadog customers to ensure successful product use and retention. You’ll be an advocate for the customer internally and focus on providing a positive experience for a high volume of accounts. Associates follow a well-defined methodology to identify the customer’s unique needs and clearly convey the value of the Datadog product. As we scale our Customer Success team, furthering personal development and team success is a top priority. 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: Identify target opportunities, manage the full sales cycle and proactively build strategic relationships with customers and focus on retention. Manage requests from your book of business such as but not limited to technical support escalations, billing questions, documentation/enablement requests to ensure a positive customer experience Pivot account management strategy based on different customer requirements and needs seamlessly and efficiently Act as an advisor to customers to ensure they’re leveraging the solution effectively Monitor and identify usage trends to uncover renewal risks and support greater adoption rates Collaborate cross-functionally with internal Datadog teams (support, product, finance, and legal) Who You Are: Customer-minded, always trying to provide the most value possible Driven and motivated by a career in sales with a strong desire to grow a career in Customer Success. A strong communicator (written and verbal) with excellent attention to detail Experienced in independently negotiating contract terms and overcoming pricing objections for up-sell/cross sell a

Managing Principal – Banking Transformation & Team Leadership (Chennai) Role Overview As a Managing Principal at Capco, you will be a senior leader responsible for driving client growth, leading complex transformation programmes, and shaping strategic direction across Tier 1 banking clients. You will combine deep domain expertise, delivery leadership, and commercial acumen to deliver measurable business outcomes. This role will play a critical leadership role in expanding Capco's footprint in India, working closely with APAC leadership to deliver large-scale banking transformation programmes and build sustainable, high-performing teams. Experience in workforce transformation and operating model optimisation would be advantageous. Key Responsibilities Client Leadership & Growth Build and manage C-level relationships across banking clients (WRB, Corporate, Operations, Technology). Support origination and closing large transformation deals (primarily in Operations & Technology). Define and lead account growth strategy, including pipeline development and GTM propositions. Act as a trusted advisor on banking transformation, operational excellence, and workforce strategy. Programme & Delivery Leadership Lead complex, multi-year transformation programmes across operations & technology. Drive design and implementation of target operating models, including process, technology, and workforce. Ensure delivery excellence through strong governance, risk management, and KPI tracking. Mobilise cross-functional teams (onshore/offshore) to deliver outcomes at scale. People & Practice Leadership Build and scale high-performing consulting teams in Chennai and broader India. Own capability development and workforce planning and support hiring aligned to growth ambitions. Mentor team and lead capability build across key areas (programme delivery, workforce management, operations). Commercial & Business Management Drive revenue growth, utilisation, and margin

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 Pure Storage is looking for an operationally strong, mature and highly motivated District Manager who can build and lead a team of focused account executives. Responsibilities include recruiting direct (Account Executive) and aligned (PreSales Engineer) reporting roles, accurate forecasting, Account Executive development, territory planning, and extensive channel partner relationship development. The successful candidate will have the ability to establish strong business relationships at the executive level, support key sales presentations, and provide strategic direction to the sales team in coordinating multiple resources within an account and successfully closing business for Everpure. WHAT YOU'LL DO Lead and inspire a team of Enterprise Account Executives, and ensure that the Everpure's Culture and Values are embedded into your team. Hire additional Account Executives as the business demands. Provide leadership to the extended Everpure team aligned to your district (SEs, Channel Managers, Inside Sales reps, etc.). Closely manage and enable the team’s performance related to KPIs including pipeline growth, partner team alignment, forecast accuracy, POC management. At all times maintain a 4X pipeline to goal. Recruit, develop and maintain strong relationships with channel partner principals, AEs and leadership teams. Drive sales call activity and lead by example. Ensure that each member of the team attains or ove

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. Senior Customer Success Manager, Scaled Accounts – India Department Customer Success Location India Reports To Manager, Customer Success Role Overview We are looking for a Senior Customer Success Manager in India to support a pooled, scaled portfolio of smaller customers through a lighter-touch, high-volume Customer Success motion. This role is designed to bridge the gap between digital-only coverage and strategic named coverage, with a focus on protecting ARR, improving customer outcomes, and delivering strong in-timezone support across EMEA, APAC, and Middle East customers. Unlike a strategic CSM managing a smaller number of complex $100K+ accounts, this role runs a more programmatic model across a larger book of business. The focus is on scalable value delivery, adoption management, renewal readiness, risk identification, customer triage, and coordinated support rather than deep executive engagement or highly customized strategic account plans. This is a strong fit for someone who combines Customer Success discipline with technical fluency, operational rigor, sound judgment, and the ability to manage a broad portfol

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. Senior Customer Success Manager, Scaled Accounts – India Department Customer Success Location India Reports To Manager, Customer Success Role Overview We are looking for a Senior Customer Success Manager in India to support a pooled, scaled portfolio of smaller customers through a lighter-touch, high-volume Customer Success motion. This role is designed to bridge the gap between digital-only coverage and strategic named coverage, with a focus on protecting ARR, improving customer outcomes, and delivering strong in-timezone support across EMEA, APAC, and Middle East customers. Unlike a strategic CSM managing a smaller number of complex $100K+ accounts, this role runs a more programmatic model across a larger book of business. The focus is on scalable value delivery, adoption management, renewal readiness, risk identification, customer triage, and coordinated support rather than deep executive engagement or highly customized strategic account plans. This is a strong fit for someone who combines Customer Success discipline with technical fluency, operational rigor, sound judgment, and the ability to manage a broad portfol

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. Senior Customer Success Manager, Scaled Accounts – India Department Customer Success Location India Reports To Manager, Customer Success Role Overview We are looking for a Senior Customer Success Manager in India to support a pooled, scaled portfolio of smaller customers through a lighter-touch, high-volume Customer Success motion. This role is designed to bridge the gap between digital-only coverage and strategic named coverage, with a focus on protecting ARR, improving customer outcomes, and delivering strong in-timezone support across EMEA, APAC, and Middle East customers. Unlike a strategic CSM managing a smaller number of complex $100K+ accounts, this role runs a more programmatic model across a larger book of business. The focus is on scalable value delivery, adoption management, renewal readiness, risk identification, customer triage, and coordinated support rather than deep executive engagement or highly customized strategic account plans. This is a strong fit for someone who combines Customer Success discipline with technical fluency, operational rigor, sound judgment, and the ability to manage a broad portfol

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. Senior Customer Success Manager, Scaled Accounts – India Department Customer Success Location India Reports To Manager, Customer Success Role Overview We are looking for a Senior Customer Success Manager in India to support a pooled, scaled portfolio of smaller customers through a lighter-touch, high-volume Customer Success motion. This role is designed to bridge the gap between digital-only coverage and strategic named coverage, with a focus on protecting ARR, improving customer outcomes, and delivering strong in-timezone support across EMEA, APAC, and Middle East customers. Unlike a strategic CSM managing a smaller number of complex $100K+ accounts, this role runs a more programmatic model across a larger book of business. The focus is on scalable value delivery, adoption management, renewal readiness, risk identification, customer triage, and coordinated support rather than deep executive engagement or highly customized strategic account plans. This is a strong fit for someone who combines Customer Success discipline with technical fluency, operational rigor, sound judgment, and the ability to manage a broad portfol

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role As part of the broader Addepar Data Management & Quality organization, the Data Client Support team is responsible for ensuring our customers receive first-class support experience and are able get the most value out of their data in Addepar. The Data Client Support team sits at the nexus of Addepar's activity and requires daily communications with clients, data providers, and other personnel across the company. Important : This role requires for you to be in office 3 days per week in Pune. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Address client inquiries related to Addepar’s portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage with Engineering & Product when needed. Partner with Account Managers, Solutions Architects, and other members of GTM to drive alignment on data related escalations and ensure positive outcomes for clients.

Role Summary We are seeking an experienced SOC / Security Operations Lead to oversee and strengthen the organization's Security Operations Center (SOC), threat detection, incident response, vulnerability management, data protection, and security monitoring capabilities. The ideal candidate will possess extensive experience in managing enterprise security operations, SIEM/SOAR platforms, threat hunting, incident response, DLP, endpoint security, and vulnerability management programs. The role requires leadership of a multi-functional security operations team responsible for protecting critical business systems, customer data, and digital assets while ensuring compliance with RBI regulations and industry security standards. Key Responsibilities Security Operations Center (SOC) Management -Lead and manage 24x7 Security Operations Center (SOC) functions. -Establish and enhance SOC processes, playbooks, escalation procedures, and operational metrics. -Ensure timely detection, triage, investigation, containment, and remediation of security incidents. -Develop SOC maturity roadmaps aligned with industry best practices and regulatory expectations. -Monitor security KPIs, SLAs, MTTR, MTTD, and incident response effectiveness. SIEM, XSIAM & Threat Detection -Lead implementation, administration, and optimization of: -Palo Alto Cortex XSIAM -SIEM Platforms -SOAR Platforms -UEBA Solutions -Threat Intelligence Platforms -Develop and tune correlation rules, detection logic, and analytics use cases. -Enhance detection coverage across cloud, endpoints, applications, networks, and third-party environments. -Drive threat hunting and proactive security monitoring initiatives. Incident Response & Threat Management -Lead enterprise cyber incident response activities. -Develop and maintain incident response plans, runbooks, and communication procedures. -Coordinate investigations involving malware, ransomware, phishing, insider threats, account compromise, fraud, and adv