Senior Product Experience Executive in India

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Technical Program Manager 1. Overview This role provides Tier 1 and Tier 2 support for Jira Cloud users across Mastercard programs, ensuring seamless onboarding, issue resolution, and vendor coordination. You will work closely with engineering, product, and vendor teams to maintain operational excellence and drive adoption of Jira Cloud and integrated tools like Aha! and X-ray. 2. Role • Serve as the primary contact for Jira Cloud support , handling Remedy tickets, onboarding queries, and user escalations. • Facilitate onboarding of programs to Jira Cloud, including license validation, test case migration, and user provisioning. • Conduct demos and office hours to guide users through Jira workflows and integrations. • Partner with engineering teams to troubleshoot configuration issues, permission models, and data sync errors between Jira and Rally/Aha • Support CRQ planning and execution for Jira schema updates, field validations, and migration logic enhancements. • Coordinate with vendors to resolve plugin issues, validate architecture diagrams, and ensure compliance with Mastercard’s security standards. • Monitor and clean up orphaned work items, duplicate epics, and initiatives across programs using Domo reports and Confluence documentation. • Maintain Confluence pages for s

Work Flexibility: Hybrid What you will do: Key Job Responsibilities · Develop and maintain automated test frameworks and test scripts. · Perform Functional, API, Integration, System, and Regression Testing. · Integrate automated tests into CI/CD pipelines. · Collaborate with Development, DevOps, and Product teams. · Analyze test failures, debug issues, and improve automation coverage. What You need: Experience · 4-6 years in Software Testing and Test Automation Educational Qualification · B.E./B.Tech/M.Tec in Computer Science, Information Technology, · Graduated from a reputed engineering institute such as VIT, NIT, IIIT, BITS Pilani, DTU, NSUT, Manipal, SRM, PSG, or an equivalent institution. Key Job Responsibilities · Develop and maintain automated test frameworks and test scripts. · Perform Functional, API, Integration, System, and Regression Testing.Integrate automated tests into CI/CD pipelines. · Collaborate with Development, DevOps, and Product teams.Analyze test failures, debug issues, and improve automation coverage. Required Technical Skills Programming Languages · Java, Python, C#, TypeScript Test Automation · Playwright, Selenium WebDriver, Appium, Postman, Cu

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist-2 Overview Product Data & Analytics is a centralized global team that enables Mastercard product business units to make better data‑driven decisions. We build internal analytics partnerships that strengthen focus on business performance, portfolio and revenue optimization, initiative tracking, new product development, and go‑to‑market strategies. These capabilities are underpinned by our data platforms that enable insights to be delivered in a standardized, scalable, and cost‑efficient manner. Key Responsibilities Strategic Support • Design and implement value enablement frameworks that optimize pricing strategies, enhance pre-sales propositions, and ensure customer success. • Collaborate with global and regional teams to tailor solutions that meet regional business needs and align with Mastercard's objectives. • Provide data-driven insights and recommendations to optimize pricing, pre-sales strategies, and customer success outcomes. • Develop frameworks, project structures, and presentations to communicate key strategic initiatives. • Conduct data integrity checks and ensure quality and reliability in data used for analysis. • Translate complex business problems into analytical solutions that support strategic decision-making. Technical Leadersh

Job Title: Lead - Aggregate Reporting Employment Type: Full-time Work Type: Remote About ClinChoice: ClinChoice is a partner to the largest pharmaceutical, medical device, and consumer care innovators in the world. Established in 1995, we provide expertise in clinical operations, biometrics, regulatory affairs, pharmacovigilance, medical affairs, and toxicology to help our partners advance healthcare by accelerating clinical trials with data-driven insights, delivering the best strategies for product registration, and enhancing patient safety through real-world and clinical analysis. Our global delivery network has expanded to centers and satellite offices in the United States, Mexico, the United Kingdom, Armenia, China, Japan, India, and the Philippines to help our customers maintain regulatory compliance locally and globally. We have forged future-defining partnerships with industry bodies and technology companies to develop cutting-edge solutions that deliver our expertise with quality and precision. Primary Responsibilities: Responsible for authoring Aggregate Safety Reports (including but not limited to PBRER/PSUR, ACO, DSUR, PADER, CAR, RMP, Ad-hoc safety reports for medicinal and non-medicinal products and EU-MDR PSUR, PMSR, PMSP, and PRER reports for medical devices, and Cosmetovigilance reports for Cosmetic products for submissions to various health authorities as per the requirement). Plan report-specific timelines, identify relevant stakeholders, request calls for contributions, and coordinate with various stakeholders for obtaining relevant data for the preparation of aggregate safety reports. Review the safety data (including the seriousness and expectedness assessments of events, as may be necessary) as per the agreed strategy and sponsor’s conventions and verify the correctness and completeness of contributions received from stakeholders. Perform aggregate review of post-marketing cases received in global databases and assess whether the cases alter t

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 Hardware Manufacturing Test Engineer at Everpure, you will spearhead manufacturing test enablement for our next-generation enterprise hardware platforms from New Product Introduction (NPI) through high-volume production ramp. Operating with high autonomy, you will design robust test strategies and collaborate cross-functionally with Firmware, Diagnostics, and global factory teams to deliver market-ready, high-yield hardware infrastructure. Your expertise will directly optimize manufacturing throughput, improve release quality, and accelerate the global deployment of the industry-defining Everpure Platform. WHAT YOU'LL DO Own NPI & Sustaining Test Readiness: Drive end-to-end manufacturing test strategy, test sequence definition, and coverage validation for multiple hardware infrastructure variants to ensure seamless factory execution and build readiness. Lead Debug & Yield Optimization: Independently lead technical triage and resolve complex system-level test fallout during critical build phases, analyzing failure paretos to isolate root causes across hardware, firmware, and test infrastructure. Scale Test Architecture & Frameworks: Enhance and standardize the Design for Manufacturing (DFM) hardware test architecture by deploying reusable automation frameworks and consolidating test execution into shared platforms to minimize factory cycle times. Drive Vendor & Cross-Functional Alignment: Colla

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. About the role: As a Senior Software Engineer working on the Appian platform, your mission will be to ensure Appian is always fast, scalable and up to whatever tasks our customers configure it to do. You will be focused on designing, developing, and maintaining complex software systems while providing technical leadership and mentorship and building a product capable of serving our customers in ways you never imagined. This role includes not just deep coding expertise, but also a focus on system orchestration, using AI Tools and AI integration (like RAG, agentic workflows, MCP), and aligning technical decisions with business strategy. Key Responsibilities The SSE isn't just "faster at coding"—they are responsible for the health of the entire codebase and the growth of the team. Code Quality & Standards: Set and enforce the "gold standard" for clean, maintainable, and well-documented code across the repository. Architecture & Design: Leading high-level design sessions, choosing architectural patterns (Microservices, Serverless, Event-driven), and ensuring systems are scalable and secure. Developer Enablement: Create internal tooling and "Golden Paths" that abstract away the complexity of underlying infrastructure for feature teams. Technical Leadership: Mentoring junior engineers, conducting rigorous code reviews, , setting the "gold standard" for clean, maintainable, and well-documented code across the repository. Project Ownership: Driving features from requirement analysis through depl

Silicon Physical Design Engineer Multiple roles across different levels Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing. The physical design team sits within the wider silicon design team which includes RTL, verification and DFT. Our work also involves strong links with architecture, packaging and product engineering. We are responsible for working with those teams to create high-quality RTL and building the final chip layout (e.g. GDSII) ensuring a signoff-quality design is delivered to the Foundry (e.g. TSMC). We are looking to hire high-quality silicon physical design engineers to join our team. The successful candidate will support the team with achieving our goals and creating the right engineering solutions. We are a collaborative team and good communication is essential, as is the ability to adapt and learn. For the successful candidate we offer an open, honest and collaborative environment working on leading-edge designs at the most advanced nodes. Our engineers are not siloed, and they are trusted and encouraged to ta ke ownership of their designs and problem solutions. You will be part of a team that looks for improvements to everything we do: our designs, our flows, our methodologies, our infrastructure. Responsibilities and Duties Applicants will be expected to contribute technically to the development of Graphcore's next generation of AI superchips, fo

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior Data Scientist, you will build and own machine learning models that power core prediction problems across the FourKites platform — including ETA/ATA forecasting and message-based status extraction. You will work end-to-end, from data pipeline to production deployment and monitoring, turning noisy real-world logistics data into models that run at scale and directly move the needle on customer outcomes. You will work closely with product, engineering, and operations teams, hands-on building and shipping models yourself while also guiding the technical direction of other data scientists on the team. What you'll be doing: Design, build, and productionize ML models for problems like ETA/ATA prediction, using regression, classification, and time-series forecasting techniques Develop NLP/LLM-based extraction pipelines for message-based ETA and status updates (text extraction, entity recognition) Own models end-to-end: data pipeline → training → deployment → monitoring → retraining Work with noisy, real-world logistics and supply chain data (GPS pings, check calls, carrier data) rather than clean, pre-processed datasets Diagnose gaps between offline evaluation performance and live production accuracy, and drive fixes Build and maintain automated training/retraining pipelines using orchestration tools such as Airflow Set up and maintain model monitoring and observability (e.g., Grafana) to catch drift and degradation proactively Replace manual or rule-based processes with ML-driven automation (e.g., automating manual check calls) Translate model performance improvements into busin

TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news. Position Overview TEGNA is looking for a Senior Data Analyst is seeking a skilled and forward-thinking CloudEngineer to join our growing technology team. We are a demand-side platform (DSP) helping advertisers and agencies programmatically reach their target audiences at scale. We are looking for a Senior Data Analyst to drive insights across advertiser performance, audience quality, and supply-side partnerships — going beyond surface-level reporting to uncover the stories that data tells. In this role, you will work at the intersection of data, engineering, and data science — collaborating closely with our engineering team to maintain data integrity and with our ML team to translate model outputs into business intelligence. You will analyse how audiences behave across our platform, evaluate the quality and efficiency of inventory sources, develop forecasts that help advertisers and internal teams plan with confidence, and surface actionable intelligence that helps our advertisers deliver better outcomes while growing the overall business. What You’ll Do • Analyse audience behaviour and segment performance to help advertisers improve targeting efficiency, reach, and campaign ROI across programmatic channels. • Evaluate supply-side inventory quality — assessing publisher segments, bid stream data, win rates, and CPM trends — to inform smarter buying decisions and supply curation strategi

We are hiring Senior / Lead Engineers to design, build, and scale robust, production-grade data and platform systems for a product portfolio within Blenheim. This is a hands-on engineering role where you will own complex problem areas end-to-end, influence system architecture, mentor engineers, and deliver scalable solutions in a fast-growing, product-led environment. If you enjoy working with ambiguity, building platforms from the ground up, and shipping real business impact, we’d love to hear from you. About Blenheim Chalcot: Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding £1.8 billion, and boasts total portfolio sales of over £500 million. The Role: As a Senior / Lead Engineer, you will play a key role in designing and delivering scalable systems across core platforms. You will collaborate closely with Product, Data, and Engineering teams in Mumbai and London, helping shape technical direction while remaining hands-on. Key Responsibilities: Successful candidates will take a leading role within our Engineering Centre of Excellence in Mumbai, with day to day responsibilities which will include. Lead and mentor a team of engineers, fostering a culture of collaboration and continuous improvement. Oversee the planning and execution of projects, ensuring alignment with business objectives and timelines. Provide technical guidance and expertise to the team, promoting best practices in engineering. Collaborate with cross-functional teams to understand requirements and deliver effect

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! The Role: We are seeking a Senior Principal Engineer to drive the architectural strategy and technical execution across our 80+ engineer Application Portfolio, encompassing all Web, Mobile, and Headless surfaces. This is a high-impact, individual contributor role where you will set the vision for our technology transformation, bridging the gap between deep frontend architecture and scalable, agentic API-first platforms. You will partner with Product leadership to drive customer-obsessed engineering, ensuring that our technical choices directly accelerate product velocity and user value. Responsibilities: Architectural Vision: Define and drive the technical strategy for the entire Applications Portfolio, establishing deep frontend architecture standards (Web, Mobile, Headless) to ensure consistency, scalability, and performance. Mentorship & Le

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role AlphaSense is maturing its security risk management program and needs a Senior Risk Analyst to be a core builder and operator of that function. You will design, implement, and mature a risk framework that spans information security, AI, and operational risk—building toward a program that is quantitative-leaning, connected to live data sources, and actionable at every altitude from service owner to executive leadership. You will establish risk identification and scoring methodologies, own the enterprise risk register, and produce risk intelligence that drives real decisions. You will also support the TPRM function led by a dedicated TPRM lead, contributing to assessments and risk tracking as needed. You approach this with an AI-native mindset: using AI to monitor threat landscapes, analyze risk data, draft risk narratives, and surface emerg

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role: As a Senior Engineer, QE, you own test strategy and coverage for your team's features and act as a strategic quality partner to the engineers who build them. You design test plans, build and evolve automation frameworks, and embed quality-by-design.You partner closely with developers, product managers, and platform teams to define test requirements, guide teams toward sustainable quality practices, and help us ship with confidence at velocity. You will: Define and execute test strategies across UI, API, and service layers to ensure comprehensive coverage. Develop and maintain reliable automation frameworks and performance testing suites. Utilize AI-assisted tools and agentic workflows to accelerate testing and debugging cycles. Lead risk assessments, release validations, and root-cause analyses for critical issues. Implement shift-left pr

The Senior Manager – CCR will be responsible for safe, reliable and efficient operation of the Continuous Cast Rod plant, covering copper rod production, process control, quality adherence, productivity improvement and shift coordination. The role will ensure achievement of production targets, process stability, equipment utilization, product quality, energy efficiency and operational discipline in line with business, safety and customer requirements. The incumbent is expected to bring strong hands-on understanding of CCR operations, copper rod casting and rolling process, furnace operation, casting wheel, rolling mill, cooling system, pickling / surface quality, process parameters, defect analysis, maintenance coordination and shop-floor governance to deliver consistent rod quality, higher plant availability and continuous improvement Source: Adani Group | Job ID: 56500

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you will address challenges spanning architecture, silicon, firmware, software, and production — and excellent judgment matters as much as technical depth! We are the Silicon Power Team within the Silicon Co-Design Group. We architect and deliver groundbreaking solutions for productizing NVIDIA's chips across consumer, professional, server, embedded, mobile, and automotive markets. Silicon characterization, correlation to arch and design expectations, product spec finalization, and productization techniques and infrastructure are our day-to-day work — always on the bleeding edge of the industry. Small decisions here have outsized impact on performance, efficiency, reliability, bring-up speed, and ultimately what the product delivers in the field. We are hiring a Senior Silicon Power Engineer to own power-feature productization on a flagship silicon program. This is not a coordination role, and it is not a compliance role — it is the seat where power features either work at scale or become the reason a program slips. The two highest-leverage problems in this seat: Close the hardest multi-functional power failures before they gate a program. Take ambiguous, cross-boundary issues across architecture, firmware, validation, and platform to root-cause closure — with productized fixes and reusable methodology the next program can inherit. Build AI-enabled characterization as a real capability, not a demo. Every bring-up generates terabytes of characterization, shmoo, and telemetry data. Deploy AI workflows for data analysis, metric extraction, trend detection, and cross-bring-up correlation — with the guardrails and validation discipline to make them trustworthy enough to gate production decisions! <