Manager Data Center Operations in India

Role – Deputy Director - Talent Acquisition (Non-Tech Hiring) Reports to – Head of Talent Acquisition About the Role In this leadership role, you will take complete ownership of the non-tech talent acquisition function. You'll develop and implement comprehensive recruitment strategies, manage and coach a team of recruiters, and ensure a seamless and data-driven recruitment experience for all hiring managers. With your deep industry knowledge and expertise, you'll be a trusted advisor, shaping the future of our non-tech workforce. Responsibilities: Strategic Leadership: Develop and implement a comprehensive talent acquisition strategy for all non-tech functions, aligned with the company's overall business goals. Partner with senior leadership across the organization to understand talent needs and identify future talent requirements. Partner with branding teams to develop and implement an employer branding strategy to attract top talent in the non-tech space. Oversee the performance and development of a high-performing recruitment team, providing coaching and mentorship. Recruitment Management: Manage the entire recruitment lifecycle for senior and niche non-tech positions, including designing and executing search strategies, sourcing top talent, and leading the interview process. Foster a strong relationship with external recruiting partners to optimize talent acquisition efforts. Data & Analytics: Implement a data-driven approach to recruitment, analyzing metrics and identifying areas for improvement. Develop and maintain talent maps for critical non-tech roles. Utilize data to inform strategic decision-making and influence hiring discussions. Candidate Experience: Champion a positive candidate experience throughout the recruitment process, ensuring timely communication and feedback. Design and implement interventions focussed on driving a strong positive candidate experience Project Management: Lead the development and implementation of talent acquisition-relat

About Team Category Management - BPC is one of the key business unit for the platform which is poised for tremendous growth and fashion democratization. We are looking for an Associate who will be a good fit to the team and instrumental in driving the growth of Beauty & Personal Care. Roles & Responsibilities Increase sales and profitability of business to drive sustainable growth Manage relationships with brand partners and establish Myntra as the preferred destination for customers as well as brand partners. Scaling the brands on the platform with continuous work across selection, catalogue, marketing etc. Identify white spaces in the portfolio and onboard/develop potential brands to fill the gap Manage On App Category visibility planning Analyze data and reports from various sources, Responsible for creating and maintaining, consolidating various reports Operational excellence - Candidate should have prior experience or enough knowledge to manage day to day operational issues effectively related to cataloging, pricing, merchandising and discount monitoring. Stay updated on industry trends and market competitions in Beauty & Personal Care profile. Qualifications & Experience Candidate should have 2+ Years of experience Preferred from Fashion e-com or retail background Proficient in Advance Excel Excellent communication, presentation and interpersonal skills Hands on experience with analyzing data and making forecasts. Analytical and critical thinker Takes complete end-to-end ownership of the task

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. Principal Software Engineer – Backend The Challenge We’re looking for a Principal Software Engineer with a passion for solving problems to join our agile Product Engineering team at OneTrust. Principal Software Engineers are responsible for developing, contributing to decisions related to design and architecture of new frontend and/or backend features while supporting existing development efforts for our industry-leading platform. Your Mission Development Support development of web and mobile interfaces for product module or new prototypes using HTML, CSS, JavaScript/Typescript and/or the designing, development, and unit testing of applications deployed to MS Azure while assisting with cloud application architecture using Drupal, Python, Core Java, REST, and the Spring ecosystem. Achieve at least 80% code coverage or per the revised standards set by the team Collaboration Work closely with UX, Product Managers and/or Product Owners, as well as other developers to contribute to planning and grooming sessions and drive team’s discussions on system architecture and component design

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. The Challenge We're looking for a Staff Software Engineer to lead technical direction across a major feature area or system domain at OneTrust. Staff Engineers here own outcomes, not just designs; they decide how ambiguous, cross-cutting problems get solved when no existing playbook applies, and their judgment carries weight across teams they don't formally manage. Your Mission Technical Leadership & Architecture Lead architecture and design for systems with significant scope and blast radius, ensuring decisions hold up under real growth, compliance, and reliability constraints; not just initial requirements. Paying attention to application performance Exercise judgment on where AI-assisted tooling accelerates delivery and where deeper human design thinking is required Cross-Team Collaboration Partner with Product, UX, and other engineering teams early, shaping problems before solutions are locked in. Build working relationships and technical credibility beyond your immediate team. Quality & Standards Set engineering practices for code revie

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. The Challenge We're looking for a Staff Software Engineer to lead technical direction across a major feature area or system domain at OneTrust. Staff Engineers here own outcomes, not just designs; they decide how ambiguous, cross-cutting problems get solved when no existing playbook applies, and their judgment carries weight across teams they don't formally manage. Your Mission Technical Leadership & Architecture Lead architecture and design for systems with significant scope and blast radius, ensuring decisions hold up under real growth, compliance, and reliability constraints; not just initial requirements. Paying attention to application performance Exercise judgment on where AI-assisted tooling accelerates delivery and where deeper human design thinking is required Cross-Team Collaboration Partner with Product, UX, and other engineering teams early, shaping problems before solutions are locked in. Build working relationships and technical credibility beyond your immediate team. Quality & Standards Set engineering practices for code revie

JOB TITLE HR Analyst A CAREER WITH POINT72’S HR TEAM The mission of Point72’s HR team is to be trusted strategic partners to the business, delivering data-driven people insights and operational excellence that enable informed decision-making and sustained performance. We leverage analytics, technology, and rigorous execution to support leaders and employees across the firm, while fostering a distinctive, inclusive culture grounded in collaboration, innovation, and integrity. Through thoughtful use of data and insight, we help attract, develop, and retain exceptional talent at scale. WHAT YOU’LL DO • Act as the primary HR operations contact, responding to employee questions on HR policies, benefits, and standard procedures. • Manage the full employee lifecycle, including onboarding, internal moves, role changes, leaves of absence, and offboarding. • Prepare, process, and maintain employee contracts, amendments, and HR documentation in coordination with HRBPs, Legal, Payroll, and vendors. • Maintain accurate employee and benefits data across HR systems, ensuring consistency between HRIS, Payroll, and benefits providers. • Perform regular data checks, reconciliations, and audits to ensure accuracy, compliance, and data integrity. • Partner with global HR Business Partners to support day to day HR execution, allowing them to focus on strategic initiatives. • Produce recurring and ad hoc HR reports such as headcount, attrition, hiring, mobility, and workforce demographics. • Maintain and improve standardized HR dashboards, trackers, and reporting tools for HR leadership and stakeholders while ensuring data integrity. • Support internal and external audits, regulatory reporting, and workforce data requests. • Identify trends, gaps, and inefficiencies in HR data and processes, and contribute to continuous improvement, standardization, and automation initiatives. WHAT’S REQUIRED • Relevant experience in an HR Analyst or HR operations role • Experience working with HRIS plat

Opportunity Overview: As Quality Specialist will implement quality measurements, scoring, and performance improvement data designed to improve operational efficiency while exceeding industry standards for quality performance. You will apply subject-matter expertise to guide and support the training and quality needs of Intake Operations. This includes building the success of the company through training and development. With a solid foundation in quality analysis, feedback, instructing/coaching; you are expected to be flexible and nimble in your role to manage short- and long-term projects as well as dealing with day-to-day QA tasks. Cohere culture is one of partnership and ownership. What you’ll do: Translate QA findings into clear insights and recommendations for operational leaders and cross-functional partners. Develop and deploy structured coaching sessions based on audit findings to improve accuracy, decision-making, and skill development. Create and ensure accuracy of SOPs, job aids, workflow guides, and new product readiness materials. Facilitate onboarding and ongoing upskilling sessions using adult learning principles and SME feedback. Lead QA/Training side of project implementations by operationalizing workflow changes, quality expectations, and training updates into the business. Partner with Product, Clinical, Client Services, and Operations to validate workflow changes and identify potential quality or compliance risks. Support change management by communicating process updates and aligning QA expectations across impacted teams. Serve as a subject matter expert and advisor to frontline leaders on quality trends, training needs, and operational readiness. Manage multiple concurrent priorities with independence, ownership, and accountability for deliverables, exercise discretion and independent judgment. Step into operational queues to maintain service levels and ensure continuity of operations, as needed during high-volume periods. Other duties as assig

Job Title: FCD BA · Business Analyst experience working in large complex Programmes within the financial services industry and Cloud (Google Cloud Platform). · Excellent documentation skills, promoting concise and clear written deliverables. · Experience with complex regulatory data models and cross functional solution designs. · Relevant experience within regulatory change in a Finance and Risk context. · Proven track record in dynamic environments, with the ability to manage teams with diverse backgrounds and skillsets, both locally and across regional sites and to maintain a global perspective. · Exceptional drive, motivation and commitment and focus in operational excellence. · Strong decision-making, problem-solving and interpersonal skills including the ability to influence stakeholders. Ability to provide SME knowledge in specific area to continuously improve areas of practice; minimum of a Bachelor’s degree in business, finance, mathematics, related field or equivalent experience. · Advance data interrogation skills using SQL and Excel · Proficient in using Python scripts to perform business analysis on large, high-volume datasets, enabling efficient data processing and insight generation. · Understanding of Basel III/IV and PRA/COREP Regulatory Reporting Requirements · Understanding of the HSBC data (facility, products, risk parameters used for credit risk calculation and reporting) · Ability to design functional solution options and support decision by identify risks/ pros/ cons

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

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 hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective. You will report to our Director, Analytics Engineering & Data Governance and work from our Bangalore, India office. You Will: Model and Pipeline Automation Automate the deployment and retraining of ML models, from training through to production inference, by building and managing complete CI/CD/CT (Continuous Training) pipelines, adhering to MLOps best practices. Build, fine-tune, or use pre-trained LLMs, deep learning models or traditional machine learning models. Evaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and/or custom-built models. Governance & Compliance Implement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards. Performance Monitoring Continuously monitor the health and performance of production machine learning models, proactively identifying and correcting model drift, staleness, and performance degradation. Incorporate user feedback for iterative improvements and manage necessary model retraining cycles. Cross-Functional Collaboration Act as the "glue" between Data Scientists (who build models

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. We're looking for a Marketing Automation Specialist to join our Marketing Operations team. In this role, you'll be the primary owner of driving communication from our Marketo instance - building, optimizing, and maintaining the automated and batch communications that power our marketing engine. You'll also work across a broader stack including Zoom Events, Salesloft, and Salesforce to ensure seamless campaign execution and reliable data flow across systems. This is a hands-on, high-volume production role for someone who is deeply fluent in Marketo and comfortable operating across a modern B2B marketing tech stack This role requires the flexibility to work a swing shift (9:00 am - 6:00 pm on three days and 1:00 pm - 10:00 pm twice a week) allowing for essential real-time overlap with our US office You Will: Marketing Campaign Operations (Marketo) Own the day-to-day administration and production within our Marketo instance, serving as the internal subject matter expert Design, build, and optimize automated nurture programs, batch email campaigns, smart campaigns, and segmentation logic Manage all campaign operations including email builds, landing pages, forms, tokens, and A/B testing Ensure database hygiene, deliverability best practices, and compliance with data privacy regulations (GDPR, CAN-SPAM) Maintain performance reports and dashboards in partnership with BI to track program effectiveness. Webinar Production + Management (Zoom Events) Support technical setup and execution of webinars and virtual events in Zoom Even

Opportunity Overview We are seeking an exceptional Sr Product Designer to join our stellar design team. The ideal candidate for this role is an experienced digital product designer who excels in highly collaborative environments, is proficient in modern design tools (we're a Figma-first organization), and consistently delivers high-quality experiences in complex problem spaces. You enjoy taking ownership of ambiguous and challenging problems, shaping them into thoughtful and intuitive experiences that make a meaningful difference for users. In this role, you will design end-to-end experiences that help healthcare professionals navigate complex workflows with confidence and efficiency. You'll partner closely with product managers, engineers, researchers, data teams, and operations to transform customer needs into elegant, scalable solutions that deliver measurable impact. We are also looking for designers who embrace AI as part of their craft. You use AI-powered tools to accelerate research, explore concepts, create prototypes, improve workflows, and strengthen collaboration with engineering. You're curious about emerging capabilities and continuously adapt your design practice as new tools become available. Most importantly, people who succeed here are empathetic teammates who are candid, kind, and caring—and embody our core values and principles. We believe that diverse and inclusive teams produce the most impactful work. Cohere is deeply committed to creating a supportive and growth-oriented environment that works for everyone. What you will do Lead end-to-end design for complex product areas—from framing problems through polished delivery and iteration Create user flows, wireframes, high-fidelity designs, and interactive prototypes that communicate ideas and validate solutions Partner closely with product managers, engineers, researchers, data teams, and operations throughout discovery, delivery, and iteration Design intuitive, accessible, and visually poli

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: The Business Intelligence Developer drives the design, development, and maintenance of Power BI dashboards and reports used across AUNZ Finance and Operations. This role bridges data and stakeholders - translating requirements into intuitive, actionable dashboards, providing first-level support to end users, and delivering ad hoc analysis in partnership with the Head of Data & Analytics. What you'll be doing: KRA 1 Dashboard Design & Development Translate business requirements into intuitive, visually compelling Power BI dashboards and reports. Create wireframes and proof-of-concepts aligned with requirements, adhering to design standards. Develop custom visuals where native Power BI functionality does not meet business needs. Maintain quality control standards across own projects prior to release. KRA 2 Data Modelling & Security Design and refine data models underpinning dashboards, building on curated datasets. Implement and maintain row-level and application-layer security to ensure appropriate data access. Manage and monitor scheduled data refreshes, proactively resol