Manager 2 in Bengaluru

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. Job Description/ Responsibilities: Designing, developing and maintaining stable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production. Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow. Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data Technology Eva

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. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with

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. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with

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

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 Analytics Engineer to lead the way in data-driven decision-making. You will be responsible for the creation and maintenance of a governed, reliable, and scalable analytics system, transforming raw data into usable datasets for DS/ML, analytics, and reporting. A key aspect of this role is leading the architecture and implementation of efficient data transformation systems within Snowflake, fostering data democratization and impacting business outcomes. Working closely with BI analysts and Data scientists, you will ensure data accessibility and drive activation on critical customer-facing platforms. This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India. You Will: Leading the implementation of efficient and scalable systems that optimize data transformations from our data lake in Snowflake into clean, documented data products. Contribute to the design standards and architectural principle standards, designs and processes. Build and maintain a governed, robust, reliable, and scalable analytics system (DW/DV). Collaborating with BI analysts and data scientists to provide proper data accessibility guidelines. Foster data democratization via activation of data on critical platforms like Smartsheet platform, Amplitude, Thoughtspot , Gainsight. Create and contribute to frameworks that improve data quality and observability to identify and resolve issues faster. Create and implement data testing plans, en

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 Sr. Principal Data Scientist to set the technical direction for the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll architect the systems, define the modeling and evaluation standards, and shape the roadmap for how Smartsheet uses applied ML and agentic AI to serve millions of customers. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are a recognized technical leader who moves fluidly between architecture, prototype, and production; raises the bar for the data scientists around you; and partners with senior product and engineering leaders to make decisions that compound across the org. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. This full-time position reports to the Director of Data Science and is based in Smartsheet’s Bengaluru, India office. You Will: Set the technical direction for how Smartsheet uses applied ML and agentic AI across the customer lifecycle — what gets built, what doesn’t, and what good looks like Architect the systems behind the sub-agents: how they ground themselves in evidence, how risk and confidence are calibrated, how decisions are evaluated, and how all of it stays safe and trustworthy at scale Define the modeling, evaluation, and experimentation standards the team follows — from offline metrics to online rollout to production monitoring Personally ship the

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. You Will: Design, build, and maintain backend integrations using AWS services such as Lambda, S3, SQS, SNS, and EventBridge Develop API-based automations and orchestrate data flows between Salesforce, NetSuite, Workday, Snowflake, and other SaaS platforms Refactor and enhance legacy integration logic to align with modern architecture standards Own your code from design through CI/CD (GitLab) and deployment via Terraform/CloudFormation Collaborate with US-based engineers on shared initiatives, sprint planning, code reviews, and technical handoffs Participate in a shared production support rotation, resolving critical integration and data pipeline issues Partner with architects and BSAs to review integration design and testing strategies for reliability and resilience Support both ETL-style batch pipelines and real-time event streaming using CDC and platform events You Have: BS in Computer Science, related field, or equivalent industry experience 5+ years of experience in backend software development or automation using Node.js, Python, VS code or similar Strong experience with AWS services, especially Lambda, S3, SQS/SNS, EventBridge, DynamoDB Expertise in database design, schema modeling, and query optimization (DynamoDB & Snowflake preferred) Strong grasp of integration design patterns, secure API development (REST/SOAP), and system interoperability Develop and maintain GitLab based CI/CD pipeline implementations for tests, linting, deployment, etc. Experience with managing infrastructure as code (Terraform, Cl

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

Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution. Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow. From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia. Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently. Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region. We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce V

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The BizTech team at Airbnb is crucial to the company's operations, handling critical data related to compliance with Tax, Payments, and Legal regulations. We also manage application data for tools such as CRM, Jira, and Workday, which are essential for Airbnb’s business. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with an emphasis on quality, scalability, and robust engineering practices. The Difference You Will Make: We are looking for a hands-on expert to provide technical leadership in addressing BizTech’s diverse data engineering needs and driving long-term strategies and best practices. This key leadership role requires strong collaboration and influence across teams. You'll play a crucial role in understanding business needs, identifying the right data sources, designing efficient data models, and building reliable, scalable data pipelines. As technology continues to evolve, you'll help shape and maintain significant parts of BizTech’s critical data ecosystem. Your contributions will not only address complex business challenges but also help refine and advance Airbnb’s Data Engineering Paved Path, benefiting the entire data community at Airbnb. We believe in solving problems and contributing back to our data community to continuously improve. A Typical Day /Responsibilities: Lead the design, implementation, and testing of data systems, from architecture to production. Build batch and real-time data systems that support business needs and critical products. Ensur

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The BizTech team at Airbnb is crucial to the company's operations, handling critical data related to compliance with Tax, Payments, and Legal regulations. We also manage application data for tools such as CRM, Jira, and Workday, which are essential for Airbnb’s business. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with an emphasis on quality, scalability, and robust engineering practices. The Difference You Will Make: We are looking for a hands-on expert to provide technical leadership in addressing BizTech’s diverse data engineering needs and driving long-term strategies and best practices. This key leadership role requires strong collaboration and influence across teams. You'll play a crucial role in understanding business needs, identifying the right data sources, designing efficient data models, and building reliable, scalable data pipelines. As technology continues to evolve, you'll help shape and maintain significant parts of BizTech’s critical data ecosystem. Your contributions will not only address complex business challenges but also help refine and advance Airbnb’s Data Engineering Paved Path, benefiting the entire data community at Airbnb. We believe in solving problems and contributing back to our data community to continuously improve. A Typical Day /Responsibilities: Lead the design, implementation, and testing of data systems, from architecture to production. Build batch and real-time data systems that support business needs and critical products. Ensur

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a ServiceNow Platform Support Specialist, you will play a critical role in supporting the ServiceNow platform. Your primary responsibility will be managing and resolving L2 incidents and the technical development and delivery of run-the-business (RTB) enhancements and keep-the-lights-on (KTLO) items. This role requires a hands-on, customer-focused individual with strong problem-solving skills who can manage platform support, troubleshooting, and system administration in a fast-paced, collaborative environment. You will also have opportunities to expand your skillset in many different directions within the ServiceNow ecosystem. WHAT YOU'LL DO Incident Monitoring & User Support: Provide second tier support for ServiceNow Actively monitor incident queue for escalations from the L1 teamTroubleshoot and resolve L2 issues related to ServiceNow (CMDB, CSM, WSD, ITSM, HRSD, LSD, among others) and L2 issues regarding ServiceNow integrations (SAP, Workday, NICE InContact, among others) Escalate complex or unresolved issues and requests for enhancement to the appropriate L3 teams, ensuring prompt follow-up and, when possible, a resolution.Maintain strong communication with users, providing clear guidance, solutions, and updates on issue resolution or feature requests.Participate in L2 on-call rotation to respond to critical incidents raised from the primary L1 on-call team in off-hours Run the Busine

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. About the Role At Everpure , we are helping customers better manage and utilize their global data in the AI era, as we evolve from traditional storage to intelligent data management and Enterprise Data Cloud capabilities. We are looking for a Technical Sourcer to help identify, engage, and attract top engineering talent across a range of technical domains. In this role, you will partner closely with recruiters and hiring managers to build strong talent pipelines and drive hiring outcomes for critical technical positions that support Everpure’s product and engineering growth. The ideal candidate is passionate about talent mapping, market research, candidate engagement, and building relationships with highly sought-after technical talent. You bring strong market insight, thoughtful outreach, and a proactive approach to finding and engaging the right talent before the market does. You are energized by the opportunity to help Everpure compete for exceptional talent in highly competitive technical markets. What You'll Do Develop and execute sourcing strategies to identify high-quality candidates for technical roles across software engineering, infrastructure, systems, AI/ML, firmware, hardware, and related domains. Build and maintain strong talent pipelines for current and future hiring needs, with a focus on quality, relevance, and speed. Conduct market mapping and competitive intelligence research to identify target companies

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team Our Sales team manages the full sales cycle, helping prospects and existing customers leverage Mixpanel to analyse, measure, and improve their customer experience. The Enterprise team focuses on targeting and working with our largest organisations — 1,000+ employees — with an emphasis on high-growth technology companies who are changing the world around us. About the Role As a Senior Enterprise Account Executive, you’ll help our future customers understand the power of Mixpanel as the best-in-class product analytics solution in the market. You’ll focus on enterprise organisations across India, with an emphasis on high-growth technology companies in sectors such as Fintech, eCommerce, Media & Entertainment, and SaaS. Collaboration is key — from building strong relationships with prospects and key stakeholders to working with internal cross-functional partners like Solutions Engineering to win together as one team. You’ll leverage your prospecting skills selling SaaS to technology companies alongside strong knowledge of Mixpanel’s product and ecosystem to close new business, powering the next generation of innovative Australian companies. This is a great opportunity for an experienced enterprise seller who thrives in complex, multi-stakeholder sales cycles and wants to play a visible role in building Mixpanel’s presence across the India market. Responsibilities Generate new business opportunities by selling directly to top-tier digital analytics decision-makers, including C-level executives and other key stakeholders across India and South Asia Manage 6–18 month sales cycles, including a