Jobs in India

Operational Account Manager in India

1,736 active opportunities · Updated October 2026

Explore current operational account manager jobs across India. Filter by work mode, employment type, experience, department, date posted and distance.

AG
📍 Mundra, Gujarat, India· Full-time
✓ Quality checkedCompany trend -84.3%

This role is responsible to monitor and operate plant systems, including Boiler, Turbine, Generator, BOP, switchyard and transformer area ensuring their optimal performance and executing necessary start-up and shut-down procedures. This role also performs and monitors Flue Gas Desulfurization (FGD) operations, maintaining equipment, promoting energy conservation, and ensuring environmental compliance. Source: Adani Group | Job ID: 49317

AG
📍 Jharsuguda, Odisha, India· Full-time
✓ Quality checkedCompany trend -84.3%

Assistant Manager encompasses overseeing all aspects of mining operations, from planning and execution to resource management and quality control. Responsible for ensuring adherence to approved plans and safety protocols, the Manager directs drilling, blasting, and coal seam removal activities, guiding shift leaders to meet production targets. Collaborating closely with colliery engineers, they facilitate continuous improvement initiatives and preparatory works, while also managing equipment maintenance and contractor relations. The Manager plays a pivotal role in driving productivity, cost reduction, and safety enhancement measures, ensuring compliance with regulatory guidelines and DGMS standards. Source: Adani Group | Job ID: 56047

AG
📍 Mundra, Gujarat, India· Full-time
✓ Quality checkedCompany trend -84.3%

This role is responsible to monitor and operate plant systems, including Boiler, Turbine, Generator, BOP, switchyard and transformer area ensuring their optimal performance and executing necessary start-up and shut-down procedures. This role also performs and monitors Flue Gas Desulfurization (FGD) operations, maintaining equipment, promoting energy conservation, and ensuring environmental compliance. Source: Adani Group | Job ID: 56537

S
📍 Bengaluru, INDIA, India· Full-time
✓ Quality checkedCompany trend -76.2%

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

PythonAWSAzureGCP
S
📍 Bengaluru, INDIA, India· Full-time
✓ Quality checkedCompany trend -76.2%

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

PythonSQLAWSAzure
O
📍 India· Full-time
✓ Quality checkedCompany trend -95.9%

About the Team OpenAI's Go-To-Market (GTM) organization helps customers adopt and scale our AI products. As the business grows, we are looking for a strategic operator to lead high-impact GTM programs that improve execution across the organization. In this role, you will partner with leaders across Sales, Product, Marketing, Product Marketing, Operations, Enablement, Finance, and Communications to drive complex cross-functional initiatives from strategy through execution. You will bring structure to ambiguity, align stakeholders around shared priorities, and build repeatable operating mechanisms that help the business scale. In this role, you will: Lead high-priority GTM programs, including product launches, sales plays, customer initiatives, and other strategic cross-functional efforts. Build program plans, operating cadences, governance, and executive communications that keep teams aligned and accountable. Partner with GTM leadership to prioritize initiatives, identify risks, and drive execution against company goals. Develop data-driven insights using pipeline, productivity, customer, and field signals to inform decisions and improve program outcomes. Build scalable processes, planning mechanisms, and operating rhythms that improve how cross-functional programs are executed. Influence stakeholders across GTM, Product, Marketing, Finance, and Operations to deliver measurable business impact. You might thrive in this role if you have: 8+ years of experience in GTM Strategy & Operations, Business Operations, Program Management, Management Consulting, Product Marketing, or a related field. A track record of leading complex cross-functional initiatives from strategy through execution. Strong analytical and problem-solving skills, with the ability to bring clarity to ambiguous business challenges. Excellent stakeholder management and communication skills, with experience influencing senior leaders across functions. Ability to thrive in a fast-paced environment, man

AWSRestAIGo
N
📍 India· Full-time
✓ Quality checkedCompany trend -100%

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: You're joining Notion's People Analytics & Operations team as part of an 18-month rotational program -- the group that builds the insights engine powering every people decision Notion makes. We look for slope over intercept. We care less about where you trained and more about what you've built. If you've ever rebuilt a broken process because it was bothering you, used AI to do something you couldn't have done alone, or found yourself reading about labor economics for fun -- you're the person we're looking for. Over 18 months, you'll rotate across people operations, people analytics, and compensation/benefits. Every rotation is real work with real ownership. On the analytics side, you'll build dashboards that land in exec review, write SQL that powers headcount models, and prototype AI-assisted workflows that help our team move faster. On the operations side, you'll run the HR engine -- managing employee lifecycle transactions in Workday, owning onboarding and offboarding coordination end-to-end, triaging and resolving employee requests, and keeping our people data clean and audit-ready. You'll be paired with a sen

PythonSQLRestAI
PE
📍 Uttar Pradesh, India· Full-time
✓ Quality checked

Job Title: ESOP Management Specialist – HR Operations Location: Noida Role Overview We are looking for a detail-oriented and process-driven ESOP Management Specialist to manage the end-to-end administration of the Employee Stock Ownership Plan (ESOP). The role will partner closely with HR, Finance, Legal, Payroll, and external stakeholders to ensure seamless execution of equity programs while maintaining compliance, accuracy, and a superior employee experience. Key Responsibilities • Manage the complete ESOP lifecycle, including grant creation, vesting schedules, exercises, lapses, cancellations, and exits. • Maintain accurate employee equity records and ensure timely updates in the ESOP management platform. • Coordinate with Finance, Legal, Payroll, and external trustees/vendors for smooth execution of ESOP-related transactions. • Prepare and validate grant letters, exercise documentation, employee communications, and regulatory reports. • Support onboarding and offboarding processes related to equity grants and settlements. • Ensure compliance with company policies, accounting standards, tax regulations, and applicable statutory requirements. • Address employee queries regarding grants, vesting, exercises, taxation, and policy interpretation. • Generate periodic MIS reports, dashboards, and analytics on ESOP utilization, vesting, exercises, and outstanding grants. • Conduct regular audits and reconciliations to ensure data accuracy and process compliance. • Identify opportunities to automate and improve ESOP administration processes. Required Qualifications • Bachelor's degree in Human Resources, Finance, Commerce, Business Administration, or a related discipline. • 3–7 years of experience in HR Operations, Equity Administration, ESOP Management, or Total Rewards. • Experience handling employee equity programs in a listed or high-growth organization is preferred. • Strong understanding of ESOP regulations, equity administration, taxation, and co

I
📍 Bengaluru, KARNATAKA, India· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Rig / Productivity Team - Intern Function: Operations – Rig Data Processing & Productivity Work Mode: On-site Shift: 9:00 AM to 6:00 PM Role Overview The Rig / Productivity Team is responsible for ensuring that recorded field data is uploaded, reconciled, validated, and made ready for reuse. The role combines two critical functions: processing SD card data and reviewing recorded videos to determine whether the data is valid. The team ensures that every uploaded batch is accounted for, SD cards are returned to inventory within the expected turnaround time, and valid-data assessments are completed accurately. No shortcuts in data handling, no unexplained pending work, and no compromise on data quality. What You'll Own - Rig: Complete the upload-to-return cycle for SD cards, ensuring data is uploaded successfully before cards are formatted and returned to inventory. - Productivity: Review recorded videos and accurately determine valid vs. invalid data. - Maintain complete visibility of pending work, turnaround time, and any data-related issues. - Ensure that every batch is processed in the correct sequence and that no data is skipped or misrepresented. Key Responsibilities 1. SD Card Data Processing & Upload - Receive reconciled SD cards from the inventory team. - Upload recorded data to the cloud as per the defined process. - Verify that uploads are completed successfully before proceeding to formatting. - Track uploaded, pending, and failed uploads. - Report any corrupt cards, upload failures, or

RestAIGoRust
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