Product Manger in India

Title: Senior Site Reliability Engineer - I, Product Area Focus Location: Noida (Hybrid) Summary of role Own availability, the most important product feature, by continually striving for sustained operational excellence of Sumo’s planet-scale observability and security products. Work alongside your global SRE team, executing on projects in your product-area specific reliability roadmap, to optimize operations, increase efficiency in our use of cloud resources and our developer’s time, harden security posture, and increase feature velocity of our developers Work closely with multiple teams to optimize the operations of their microservices - and improve the lives of the engineers within your product area engineering teams. Responsibilities Support the engineering teams within your product area by maintaining and executing a reliability roadmap of opportunities for improvement for reliability, maintainability, security, efficiency, and velocity - and help for realizing those opportunities. Collaborate with development infrastructure, Global SRE, and your product area engineering teams to establish and continually refine your reliability roadmap. Participate in defining, evolving, and managing SLOs for several teams within your product area. Participate in on-call rotations within your product area to understand operations workload so you can continually work to improve the on-call experience and reduce operational workload for running microservices and related components. Complete projects to optimize and tune on-call experience for your engineering teams. Continually improve the lifecycle of microservices and architectural components from inception and design, through deployment, operation, and refinement. Write code and automation to reduce operational workload, increase efficiency, improve security posture, eliminate toil, and enable Sumo’s developers to deliver features more rapidly. Work closely with the developer infrastructure teams to expedit

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. Building AI-native products is a different problem than building deterministic software: the same input won't always produce the same output. Good product engineering here means designing experiences that stay useful, trustworthy, and easy to understand even when the AI underneath doesn't behave the same way twice — and knowing when that's a product design problem, not just a model problem. We're looking for a Software Engineer with 2-7 years of experience who thinks like a product owner, not just an implementer. You're comfortable being handed a vague, half-formed problem and figuring out what's actually worth building. You default to empathy for the researcher or participant on the other end of the screen, and you'd rather ship something real and learn from it than wait for a perfect spec. You're fluent enough with modern LLM-based systems to build good product experiences on top of them, even if tuning the model itself isn't your job. What you'll do Own end-to-end delivery of product features — from an ambiguous problem statement to shipped, working software real researchers and participants use Partner directly with Product and Design to help define what should be built, not just how to build it Use our design system to make sound, independent calls on smaller UX and interaction decisions, and know when a change is big enough to loop Design in Build the product surfaces (web app flows, dashboards, in-product controls) that make AI-driven behavior understand

Work Flexibility: Hybrid What you will do: Work with product development team and help them with requirements management and system engineering. Assist in the deployment of tools such as JAMA etc. Work closely as administrator with functional leaders, organizational units, and subject matter experts on use case for projects and their processes. Train people, execute day-to-day configuration, support, maintenance and improvement of the tools, qualification of the tools and associated processes. Perform and own tasks including, but not limited to: User account maintenance, create filters and custom reports or dashboards for each project, as needed. Write script/ software to customize workflows and create configurations. Manage release cycles and validate the software tools and upgrade, backup, and baseline the project folders within each software tool. What you need: Required Qualifications: Bachelor’s degree in computer science, Computer Engineering or related field is preferred 2 – 7 years of experience Understanding of engineering lifecycle phases and design control processes and knowledge of Requirement Management and Test Management, Traceability. Experience with software and hardware defect tracking process and develop software using Python or any other scripting language & ability to understand and interpret electrical design and systems. Preferred Qualifications: Knowledge of JAMA workflows or similar tools like JI

Resolving customer complaints within the agreed service level agreements Acting as a liaison between customers and companies Having proper knowledge of the product and showing its benefits to the customer

About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a leader to build and scale our Support Engineering team, which will collaborate directly with our strategic enterprise accounts, our product and engineering teams, as well as our field teams to solve some of the most difficult technical problems faced by our customers. You will lead one of the best technical troubleshooting teams at OpenAI, and our customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Working directly with our most strategic customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI platform. This team will handle high difficulty situations and issues. The team will be global, providing 24x7 technical coverage for our customers. This will be an opportunity to build this new team from first principles - your leadership will determine the future of this organization. The ideal candidate will have a combination of technical capabilities mixed with strong leadership and systems building strength. This role is based Remotely in Toronto, Canada. Key Responsibilities: Build an

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, AI INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, AI INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from

About Us : Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role : We are looking for an experienced Category Lead to define, build, and scale one of our categories from the ground up This is a high-impact, entrepreneurial role that combines category ownership, product thinking, business strategy, and cross-functional execution. The ideal candidate will have experience owning large business categories, driving growth, and building customer-centric products at scale. What You'll Do : - Own the end-to-end strategy, growth, and P&L of the category. - Design customer-first financing journeys where interest is charged only on the utilized amount, creating a flexible borrowing experience. - Identify new customer segments, use cases, and growth opportunities across merchants, D2C brands, SMEs, and digital businesses. - Drive category performance through data-led decision making, experimentation, and continuous optimization. - Monitor portfolio performance, customer adoption, profitability, and key business metrics. - Work closely with leadership to launch and scale new initiatives as part of Paytm's new venture. What We're Looking For : - 7-10 years of experience in Category Management, Product Ownership, Business Management, or General Management. - Strong experience owning and scaling a business category or product with measurable business impact. - Strong understanding of customer journeys, marketplace ecosystems, supply chain, logistics, merchant platforms, or financial products. - Demonstrated ability to manage large portfolios, drive business growth, and influence cross-functional teams. - Excellent analytical, stakeholder management, and problem-solving skills.

Overview: The Insights product is a new offering for Guidepoint's Institutional investment and corporate clients, that offers teleconferences, surveys, and in-person events. The teleconferences live in a transcript library portal, which covers a wide of industries/topics that enables our clients to make informed decisions. All content features experts from Guidepoint’s proprietary global network and is conceptualized and hosted by former investment professionals (i.e., private equity/hedge fund), sell-side equity research analysts, and industry professionals. Visit Insights team biographies at https://www.guidepoint.com/insights/#team . This position can be remote. Ideal candidates MUST be comfortable working on a shift from 5:30PM to 2:30 AM IST. What You’ll Do: Support operations associate in hosting teleconferences across sectors in APAC Contact clients to determine event interest, confirm predetermined advisors Send invitations to clients and oversee client RSVPs and compliance Manage all correspondence with advisors prior to meetings Assist in maximizing attendance at events, ensure events runs successfully and conduct post-event cost analysis and review client charges Assist in managing internal documents Work closely with other team members to ensure the successful execution of meetings via the scheduling of advisors for breakfast/lunch meetings agendas and teleconferences Provide the team with all relevant materials for the events including PowerPoint slides, event signage, and brochures. What You Have: Bachelor’s degree Previous project management experience strongly preferred Exceptional organizational skills with meticulous attention to detail Ability to prioritize and multi-task and to work under tight deadlines Flexibility to work long and unpredictable hours Proficiency in MS-Office,

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

Head - Production is responsible for leading the overall production function within the precast business unit. The role involves overseeing daily operations, managing production teams, ensuring product quality, maintaining safety compliance, optimizing costs, and aligning operations with strategic goals. The position plays a key leadership role in driving productivity, efficiency, and continuous improvement across all factory and site production activities. Source: Adani Group | Job ID: 52678

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 Join the Portworx team and play a pivotal role in delivering our highest-quality suite of products. In this role, you will contribute to building clean, robust code with a relentless focus on quality and customer success. You will be instrumental in developing a new SaaS platform designed to provide a secure, consistent, and best-in-class experience for customers purchasing and utilizing various Portworx offerings. As a core developer, you will take ownership of designing and implementing innovative features and products across the Portworx portfolio. WHAT YOU’LL DO Design & Develop SaaS Microservices: Build, scale, and integrate new features into Portworx products, ensuring seamless alignment with our distributed system architecture. Own the Lifecycle: Lead end-to-end engineering efforts, including design reviews, code reviews, unit/functional testing, documentation, and managing CI/CD deployment pipelines. Collaborate Globally: Partner closely with cross-functional peers and stakeholders (from Product Management to early-adopter customers) to take solutions from initial concept to production. Drive Iterative Quality: Take full ownership of feature development by proactively adapting to customer feedback and resolving issues identified during testing and deployment. Innovate & Experiment: Research and experiment with emerging technologies to push boundaries, optimize cloud infrastructure, and pione

We are fueled by a moral imperative to advance mankind, and it all begins with our people, our product, and our purpose. Passion isn’t something we turn on and off; it’s woven into everything we do. If you thrive in high-challenge environments, are inspired by exceptional teammates, and are driven to grow beyond what you thought possible, MX is where you belong. Come build the future with us. Join an award-winning company that isn’t just shaping the financial industry, but transforming it in ways that create meaningful, lasting impact for millions of people. At MX, reliability is a product. Our infrastructure powers financial applications used by millions of people and processes billions of transactions for major financial institutions, and customers feel every second of downtime. We're building a new observability function that runs the way we run incident response: the system does the heavy lifting, and people handle judgment, customers, and the exceptions. As a Senior Observability Engineer, you build and operate an observability control plane. You scaffold baselines, score coverage, and turn every real incident into the detection the platform should have caught. This is a multiplier role: you raise the bar for every team through standards and automation instead of building each team's dashboards by hand. We call it the shepherd model. You shepherd Datadog and partner with our product engineering teams so they observe the right signals for their products. Service owners get real signal instead of noise, and leadership gets coverage and health as a program metric. This role shares the team pager. Observability and incident response run one on-call roster. You take shifts with the rest of the team and act as Incident Commander when an incident needs one. It is core to the role, not an afterthought. Engineering at MX runs hybrid infrastructure (AWS and bare metal) with services in Ruby, Go, and Java, messaging over NATS and RabbitMQ, and data on PostgreSQL an

We are fueled by a moral imperative to advance mankind, and it all begins with our people, our product, and our purpose. Passion isn’t something we turn on and off; it’s woven into everything we do. If you thrive in high-challenge environments, are inspired by exceptional teammates, and are driven to grow beyond what you thought possible, MX is where you belong. Come build the future with us. Join an award-winning company that isn’t just shaping the financial industry, but transforming it in ways that create meaningful, lasting impact for millions of people. Senior Cloud Platform Engineer At MX, we’re on a mission to empower the world to be financially strong. We power the financial experiences behind thousands of banks, credit unions, and fintechs, helping millions of people better understand, manage, and improve their financial lives. Our platform sits at the intersection of financial data, cloud-scale infrastructure, and trust, and it has to work, every time, at massive scale. We’re entering a pivotal phase of our technology evolution: moving from legacy on-prem infrastructure to a modern, cloud-native platform designed for resilience, security, and developer velocity. It’s a chance to build the next generation of MX’s platform thoughtfully, reliably, and with long-term impact in mind. If you enjoy working on complex systems, care deeply about uptime and reliability, and want your work to directly power the financial well-being of millions, this is where you’ll do the most meaningful work of your career. What You’ll Do Drive Cloud Migration: Drive the end-to-end migration of production workloads from on-premise data centers to GCP. Architect for Reliability: Design and implement production-grade Kubernetes environments and GCP architectures that prioritize 99.99+% availability. Operational Excellence: Improve incident triage and improved recovery timeby implementing cloud-aware diagnostics and automated recovery patterns. Empower Developers: Reduce friction in th

Backend Engineer (Senior Level) - SDE IV We're looking for a Senior Backend Engineer to lead the architecture and evolution of backend services that deploy and serve machine learning models in production. You'll work closely with ML Engineers, Platform, and Product teams to build scalable, reliable systems and drive technical direction across multiple teams. What You’ll Do Design and drive the long-term architecture of backend services for biometrics and ML model serving. Collaborate with core platform and backend teams on organization-wide architectural initiatives. Partner with business and engineering teams to design and deliver cross-cutting platform capabilities. Lead architectural reviews, mentor engineers, and promote engineering best practices. Build and maintain backend services for deploying and serving ML models Monitor service reliability, performance, and scalability in production Deploy and operate services on AWS using ECS + Fargate, SageMaker, or EC2 + Kubernetes Support real-time and batch inference workflows Contribute to CI/CD pipelines and deployment automation What We’re Looking For Strong expertise in backend development using Java and working knowledge of Python. Experience mentoring engineers and driving architectural decisions. Working knowledge of Python, especially for ML-related workflows Hands-on experience with AWS (e.g., DynamoDB, ECS, EC2, Redis, S3, SageMaker) Familiarity with Terraform or other infrastructure-as-code tools, and experience with CI/CD and production monitoring Experience with observability tools (Datadog, New Relic, etc.) Experience with containers and orchestration (Docker, ECS, etc.) Understanding of how ML models are deployed and served in production Experience with Kubernetes Nice to Have Experience with MLOps or ML platform engineering. Experience with asynchronous programming and event-driven systems. Jumio Values: IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation Equal Opportunities :