People Solutions Program Manager Salary India in India

Responsibility Partner with Product / Business / Tech owners and Design & Operation Leaders in understanding long-term capabilities / initiatives that need to be managed in-line with the Organizational strategic choices Review the business case and Own E2E (starting with solutioning till go-live) execution of one or more top level key strategic initiatives on need basis partnering with senior leadership team Besides managing and executing Strategic Programs, need to drive the Strategy Setting & Review exercises like OKR Finalisation, Quarterly/Monthly OKR Reviews Skills/Competencies required Education - B.Tech/B.E, MBA , PMP Certified Understanding of eCommerce industry and hands-on experience in driving complex strategic initiatives 7-10 Years of seasoned experience professional in project/ program management, preferable in supply chain, e-commerce business domains. Strong people skills: ability to influence people, negotiate and be unflustered in crucial conversations Strong affinity for data-based decision-making; adept at designing useful measurements Ability to thrive in an evolving/ambiguous environment and ability to deal with lack of clarity and vagueness Experience in partnering with Senior Leadership & driving Strategic Initiatives Good understanding of SDLC methodologies, in particular Agile methodologies and a know-how in adapting them

Responsibility Partner with Product / Business / Tech owners and Design & Operation Leaders in understanding long-term capabilities / initiatives that need to be managed in-line with the Organizational strategic choices Review the business case and Own E2E (starting with solutioning till go-live) execution of one or more top level key strategic initiatives on need basis partnering with senior leadership team Besides managing and executing Strategic Programs, need to drive the Strategy Setting & Review exercises like OKR Finalisation, Quarterly/Monthly OKR Reviews Skills/Competencies required Education - B.Tech/B.E, MBA , PMP Certified Understanding of eCommerce industry and hands-on experience in driving complex strategic initiatives 7-10 Years of seasoned experience professional in project/ program management, preferable in supply chain, e-commerce business domains. Strong people skills: ability to influence people, negotiate and be unflustered in crucial conversations Strong affinity for data-based decision-making; adept at designing useful measurements Ability to thrive in an evolving/ambiguous environment and ability to deal with lack of clarity and vagueness Experience in partnering with Senior Leadership & driving Strategic Initiatives Good understanding of SDLC methodologies, in particular Agile methodologies and a know-how in adapting them

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is looking for a Lead Software Engineer to join our Online Services team, who is passionate about games and will serve both as an individual contributor and as a leader for a skilled and diverse group of developers. This is a full-time, in-office position based in Rockstar’s large game development studio in Bangalore, India. WHAT WE DO The Rockstar Games Online Services Team is a development group, passionate about growing and maintaining the technology platform that powers Rockstar’s online titles and our ability to deliver outstanding player experiences. We build connected experiences that are found across our game franchises. We architect and maintain high-impact features to support the development of the Rockstar community and websites. We build services and tools that support our consumer-facing experiences and our internal business needs. RESPONSIBILITIES Lead a team of software engineers in maintaining and upgrading React and .NET systems. Define key results, set team objectives, provide technical expertise and mentorship. Conduct performance evaluations and regular check-ins to ensure team members are on track and aligned with goals. Develop and communicate technical roadmaps to leadership. Collaborate with Product Management and Production teams to scope and prioritize projects. Integrate systems with multi-functional teams. REQUIREMENTS 8+ years of professional software development experience at an enterprise level organization, with 3+ years of experience leading an engineering team of 4+. Efficiently facilitate communication with teams in various locations worldwide. Experience working in

Principal Product Manager - Agentic Investigation & Reliability Experiences Sumo Logic is hiring a Principal Product Manager to lead how engineers and operators investigate incidents, understand reliability risk, and act on their operational and security telemetry. The observability category was built around collecting telemetry and giving people tools to navigate it: dashboards, queries, monitors, traces, and alerts. Customer expectations are now shifting. Teams don't just want more dashboards; they want help getting from a signal to a resolution, understanding what's broken, why, what's impacted, and what to do next. As AI agents move into production operations, this role owns how Sumo Logic brings intelligent, agent-assisted investigation and reliability workflows to customers, grounded in evidence, context, and enterprise governance. This is a senior, high-ownership role. It requires genuine observability domain background. You should have lived in this space and understand how monitoring, troubleshooting, and reliability actually work, combined with the ambition to define a new category of experience on top of it. What You Will Own The current data experiences. Log Search, Live Tail, query and query optimization, Metrics Search, Tracing, Dashboards, and the data-experience UI. This is a live, revenue-generating product with real customers, and keeping it strong is part of the job. You own its health, roadmap, and competitiveness today while steering it toward an AI-native future, focusing new investment where it strengthens investigation, speed, and value for both new and power users. The reliability and alerting surface. Monitors, Alerts, SLOs, Scheduled Searches, and the reliability workflows around them. You will own alerting accuracy, noise reduction, and operational health signals both as capabilities customers depend on today and as the foundation for more automated, agent-assisted detection and investigation. The agentic investigation experience. You

Principal Product Manager - Agentic Investigation & Reliability Experiences Sumo Logic is hiring a Principal Product Manager to lead how engineers and operators investigate incidents, understand reliability risk, and act on their operational and security telemetry. The observability category was built around collecting telemetry and giving people tools to navigate it: dashboards, queries, monitors, traces, and alerts. Customer expectations are now shifting. Teams don't just want more dashboards; they want help getting from a signal to a resolution, understanding what's broken, why, what's impacted, and what to do next. As AI agents move into production operations, this role owns how Sumo Logic brings intelligent, agent-assisted investigation and reliability workflows to customers, grounded in evidence, context, and enterprise governance. This is a senior, high-ownership role. It requires genuine observability domain background. You should have lived in this space and understand how monitoring, troubleshooting, and reliability actually work, combined with the ambition to define a new category of experience on top of it. What You Will Own The current data experiences. Log Search, Live Tail, query and query optimization, Metrics Search, Tracing, Dashboards, and the data-experience UI. This is a live, revenue-generating product with real customers, and keeping it strong is part of the job. You own its health, roadmap, and competitiveness today while steering it toward an AI-native future, focusing new investment where it strengthens investigation, speed, and value for both new and power users. The reliability and alerting surface. Monitors, Alerts, SLOs, Scheduled Searches, and the reliability workflows around them. You will own alerting accuracy, noise reduction, and operational health signals both as capabilities customers depend on today and as the foundation for more automated, agent-assisted detection and investigation. The agentic investigation experience. You

About the Role REMOTE IN INDIA We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine

ABOUT THIS ROLE GHX is standing up a new Human-in-the-Loop (HiTL) operations team in Hyderabad to support its ADM (Automated Document Management) platform — an AI-powered document processing system replacing legacy UiPath automation for GFax North America. The platform processes over 2.2 million Purchase Orders per year and targets a 75–85% fully-automated (touchless) rate. The team handles every document the AI cannot process autonomously. The Operations Supervisor is building this team from zero and is accountable for everything within it: throughput, field accuracy, team development, day-to-day operations management, and real-time coordination with GHX Engineering and Product teams in the United States. This is a high-visibility, inaugural role — the team’s accuracy and throughput directly determine the speed and confidence with which GHX can expand the ADM platform beyond GFax North America. KEY RESPONSIBILITIES People & Performance Management — 70% Directly supervise 15-20 Document Review Specialists; own rostering across rotational shifts, attendance tracking, and queue capacity planning against daily document volume Manage operations SLA – TAT, Quality, along with people metrics Own day-to-day operations management: shift rosters and week-offs, leave planning, planned & unplanned shrinkage, absenteeism control, and real-time reallocation of staffing to protect SLAs & operations performance metrics Set and communicate daily, weekly, and monthly throughput, AHT, and accuracy targets; monitor individual and team performance against SLA and productivity standards Participate in and present at weekly, monthly, and quarterly business reviews (WBR / MBR / QBR) — performance against KPIs, root-cause analysis of misses, and committed corrective actions Own the full performance cycle for direct reports, including goal setting, mid-year and annual appraisals, with documented performance ratings, development plans, and calibration against peer supervisors Con

Forward is transforming how the world’s most complex networks are managed and secured. Founded in 2013 by four Stanford Ph.D.s, we built the industry’s first network digital twin — a mathematically precise model of the production network that gives IT teams unmatched visibility, verification, and agility across every major cloud and vendor environment. Our customers include global leaders such as Goldman Sachs, PayPal, S&P Global, IBM, and Dell, as well as fast-growing enterprises and government agencies. According to IDC, Forward customers realize an average of $14.2 million in annual benefits through improved efficiency and security. Backed by world-class investors including Andreessen Horowitz, Goldman Sachs, MSD Partners, and Threshold Ventures, Forward offers a people-centric, innovative culture where brilliant minds are shaping the future of network reliability, security, and AI-ready operations. Forward is currently seeking experienced Java developers to work as part of our Network team. Responsibilities Help bring the best ideas from the software development world into the networking industry. Contribute to our code base, systems and software architecture as a member of our engineering team. Help create and optimize network device models for different device vendors and protocols. Help create infrastructure needed to configure, collect and test network devices. Work with peers who are experts in Networking, Distributed Systems, Big Data and Search. Requirements 5+ years of work experience in software development 3+ years of work experience with Java BS in Computer Science or related degree Solid software engineering experience with large code bases Basic understanding of networking and TCP/IP. Strong verbal and written communication skills. Nice to haves Working knowledge of how switches, routers, firewalls or load balancers work. Experience working with networking protocols such as BGP/OSPF/IS-IS, IPv4/IPv6, MPLS, VLAN, VXLAN, etc. This position is a re

JOB TITLE Talent Acquisition Analyst A CAREER WITH POINT72’S HUMAN RESOURCES TEAM As an HR Team, our mission is to be trusted business partners and advisors within the Point72 community, committed to driving a distinctive culture that values collaboration, innovation, and adaptive performance. We are a group of professionals who prioritize business context while listening to all sides, across teams and levels, with empathy. We strive to be commercial and innovative, focused on deeply understand the nuances of global and business unit dynamics and seeking unconventional ways of approaching our relationships with our people. WHAT YOU’LL DO The Talent Acquisition Analyst will be responsible for overseeing the end-to-end contractor lifecycle, with a strong emphasis on data accuracy, compliance, access governance, and spend visibility. This role will ensure contractors are onboarded efficiently, background checks are completed in accordance with policy, and system access is aligned with business needs and information security standards. Managing contractor onboarding from offer acceptance through system access activation, ensuring all required documentation and approvals are completed accurately and on time. Tracking and validating completion of background checks prior to start date, while maintaining clear documentation to support audit and compliance requirements. Partnering closely with Information Security and IT teams to ensure contractors are granted appropriate, role-based access and do not have access to sensitive systems or data unless explicitly required. Supporting periodic access reviews and ensuring timely updates when contractor scope, assignment, or business needs change. Determining contractor types and establishing clear guidelines for the appropriate process, documentation, approvals, onboarding steps, access requirements, and governance standards for each contractor category. Maintaining accurate contractor rec

Opportunity Overview: We are seeking a Technical, Hands-on Manager to lead a team responsible for building and maintaining high-quality healthcare market datasets and analytics that power internal insights, benchmarking, and external thought leadership . In this role, you will lead a team of data analysts responsible for the development, quality assurance, and ongoing refresh of market data assets. You will combine strong people leadership with technical expertise in analytics and data science to ensure reliable, scalable data pipelines and actionable insights. The ideal candidate is both a strong people manager and a hands-on analytics leader who can guide analysts in rigorous data methodology, translate data outputs into meaningful business insights, and partner closely with commercial strategy, product, clinical, and analytics stakeholders. What you’ll do: Lead and develop a team of data analysts responsible for the creation, validation, and ongoing refresh of healthcare market datasets. Mentor analysts in data methodology, statistical reasoning, and reproducible analytics practices to ensure consistent and rigorous analysis across the team. Establish analytic standards, coding practices, and documentation expectations to ensure all datasets and insights produced by the team are reproducible and scalable. Establish and maintain governance processes for market data including versioning, documentation, auditability, and traceability of data sources and methodologies. Oversee change-detection logic, ensuring the team systematically identifies and documents additions, removals, and shifts in the market dataset. Define and enforce data quality standards across ingestion, transformation, and analysis workflows. Collaborate with Data Engineering and Platform teams to ensure the underlying data infrastructure supports scalable ingestion, transformation, and analytics workflows used by the analyst team. Translate analytic outputs into business insights, benchmarks, and st

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf