Senior Operations Technology Product Designer in India

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. The Role You will work on our Metrics platform - enabling our users to query, visualize, and alert on billions of time series quickly and effectively. You'll own meaningful parts of that stack, drive performance and scalability improvements, and contribute to architectural decisions that shape where the platform goes next. This isn't a maintenance role, the metrics backend is being actively evolved, and you'll be a core part of that. Thi

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. The Role You'll be our dedicated expert in query execution and query performance. That means owning the query execution service end-to-end: working on caching strategies, incremental execution, query rewrites, and other optimizations that directly affect the speed and cost of running Observe at scale. You'll also be the go-to resource when query latency issues arise during customer evaluations and new deal cycles, diagnosing root causes

Graphcore Senior Principal AI SoC Validation (Bring-up lead) 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. We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. As the SoC Validation Lead, you will be responsible for enabling pre-production software to run reliably on new silicon quickly and efficiently, before showing that the silicon meets the highest standards of quality, reliability and functionality, ready for production deployment. You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams. Key responsibilities Define and lead post-silicon validation strategy Develop and refine the overall post-silicon validation approach for our AI SoCs, ensuring reliable and timely delivery of validated silicon, architectural correctness, feature robustness, and at-scale system reliability. Drive cross-domain debug and issue resolution Lead investigation and resolution of complex issues spanning silicon, firmware, operating systems, and platform interactions. Ensure that fixes are effective and sustainable. Promote collaboration and shared understanding Work closely with

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role Synthesia ships more product, faster, than we ever have. AI has collapsed the cost of building which means the hard part is no longer making things, it’s making sure people actually adopt them. That’s the job of Growth, and we’re changing how we do it: instead of bolting Growth on after launch to optimise, we’re embedding a Growth PM into every core bet from day one, so how a product acquires, activates and scales is designed in from the first cycle. We’re hiring a Growth Product Manager to report to our VP of Growth. You'll own the Growth surface for one of those bets while helping build a growth-led way of working across the company. What you’ll be doing Own Growth for a core product area end to end, acquisition, activation, adoption and retention, baked into the roadmap from the start, not retrofitted. Partner closely with the core product PMs and engineers who own the surface, bringing high-impact growth ideas and working out where they fit, and getting the primitives exposed that let you build and scale on top. Design growth into the product itself: discovery-led acquisition loops, and experiences that get users to their job-to-be-done in a couple of clicks (sometimes without opening the edit

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . About the Role SonicWall is a global leader in cybersecurity, offering firewalls, secure access solutions, and threat intelligence that protect millions of networks for enterprises, governments, and service providers worldwide. SonicWall’s portfolio includes next-generation firewalls (NGFW), centralized management, wireless network management, secure mobile access, cloud security, and endpoint security. All these solutions are coordinated and managed through SonicWall's Unified Management (UM) architecture. We invite you to join our team in developing innovative network security management solutions for SonicWall's Network Security Manager (NSM), a centralized management and analytics platform within the SonicWall Unified Management (UM) ecosystem. In this role, you will help build secure and scalable software capabilities that integrate with SonicWall's Unified Management (UM) platform and Shared Services Platform (SSP) to meet the unique operational needs of enterprise customers, Managed Service Providers (MSPs), and Managed Security Service Providers (MSSPs) around the globe. You will design and build c

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Location: Europe remote or London hybrid The role: We're looking for a Senior (L5) OR Staff (L6) Product Designer to lead design for Synthesia's AI-native product surfaces: the experiences where employees learn through conversation, companies localise content at scale, and AI becomes a direct participant in how work gets done - not just a tool behind the scenes. This area is central to redefining what a video platform can be: moving upstream from content creation into workforce development, and making complex AI capabilities feel natural, trustworthy, and effective for everyday users. You'll operate as a senior IC: setting direction, influencing roadmap decisions (not just contributing), shaping bets with Product and Engineering leaders, and raising the craft bar either across Skills or Dubbing & Localisation. In practice, this role is about solving AI-native design problems, for example: Designing real-time, conversational avatar experiences that feel engaging and natural - not robotic or gimmicky - for employees learning and practising skills at work. Creating interaction patterns for AI-driven workflows (dubbing, localisation, skills authoring) that give users the right amount of control, transparency, an

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

Chartered Accountant with an Audit background Experience in, and thorough understanding of, managing, overseeing and applying controls across a Finance function, including those underpinning SOX and Operational Risk frameworks Good relationship management, collaboration and influencing skills Good interpersonal and communication skills, both written and oral. Confident and comfortable and experienced in engaging senior stakeholders Data and process analysis skills Committed to continuous improvement, self-motivated, confident, creative and capable of working effectively autonomously as well as part of a team Prior experience of designing and implementing new controls and processes Experience in change and transformation programmes Strong regulatory reporting control mindset; experience documenting and evidencing controls. Strong stakeholder management; comfortable engaging senior stakeholders. Data/process analysis capability; organised and self-directed. Knowledge of MREL regulatory reporting and traceability expectations (rules/interpretations/calculations/models/EUCs/data) strongly preferred.

The Land Legal Head will lead and oversee all legal aspects related to land acquisition, land use, and regulatory compliance for Adani’s Projects. This senior leadership role demands a seasoned legal expert with profound knowledge of land laws, regulatory frameworks, and project-specific legalities. The role requires strategic vision and operational execution to manage complex legal challenges while aligning with Adani’s core values of integrity, innovation, and sustainability. The successful candidate will be pivotal in securing timely land clearances, mitigating legal risks, and fostering collaborative stakeholder engagement, thus supporting Adani’s mission of powering progress responsibly and efficiently. Source: Adani Group | Job ID: 56988

Opportunity Overview: As a Staff Data Scientist at Cohere Health, you will serve as a technical leader across high-priority initiatives, shaping how data science is applied to some of the most complex challenges in healthcare. You’ll drive the design of advanced analytical and modeling solutions, influence strategic direction, and partner deeply across Product, Clinical, and Engineering to deliver scalable, high-impact outcomes. This role goes beyond execution. You’ll define approaches, set standards, and guide others in solving ambiguous, high-leverage problems. You’ll play a critical role in advancing the maturity of data science at Cohere while contributing directly to improving clinical and operational decision-making. What you’ll do: Lead the design and execution of complex, high-impact data science initiatives across multiple domains Define analytical frameworks and modeling approaches for ambiguous, strategic problem spaces Partner with senior stakeholders to shape problem definition, prioritize opportunities, and influence decision-making Develop and deploy advanced models and scalable analytical solutions that drive measurable outcomes Establish best practices for experimentation, model development, and analytical rigor across the team Mentor and guide other data scientists, providing technical leadership and elevating team capabilities Drive cross-functional alignment to ensure solutions are practical, scalable, and integrated into workflows ISMS roles and responsibilities: Good knowledge of Information security Oversee specific business processes within the ISMS. Responsible to manage the ISMS documentation, conduct risk assessments, and implement risk treatment plans. Risk Owners are responsible for identifying, assessing, and managing risks within their areas of responsibility. They are also responsible for implementing risk treatment plans. Conduct the BCP and other test related to information security continuity along with CISO Responsible for monitor

About the Team The Commerce Platform team at Meesho drives end-to-end growth, strategy, and operational excellence across key verticals: - User Growth: Scales the full lifecycle funnel—from acquisition and activation to retention—ensuring sustainable user growth and engagement across the platform. - Marketplace: Focuses on strengthening the seller ecosystem and improving selection quality to create a robust and reliable marketplace experience. - Category: Identifies high-potential segments, launches and scales new categories, and drives assortment expansion to meet evolving customer demand. - Mall: Builds a trusted branded destination for quality-conscious users, enhancing the platform’s premium and branded shopping experience. - Pricing: Ensures competitiveness and affordability, enabling the platform to deliver strong value for customers while maintaining marketplace health. - Content Commerce: Powers content-led discovery through creator ecosystems and inspiration-driven shopping journeys that drive engagement, trust, and conversion. Together, these verticals identify whitespace opportunities, launch and scale new initiatives, and continuously optimize the user lifecycle through data-backed decisions. Operating in a fast-paced, high-ownership environment, the team combines structured problem-solving with rapid execution to deliver meaningful impact. If you’re excited about building for Bharat, this role offers both strategic depth and hands-on impact. About the Role As an Associate Director – Programs, you will be a senior leader responsible for one or more strategic charters that drive key business and customer outcomes. You will own end-to-end problem-solving for critical workstreams, navigating complex challenges and ensuring strong execution and operational excellence across the organization. This is a hybrid individual contributor and people-manager role. You will directly lead high-priority initiatives while managing and developing a team of Senior Man

To lead strategic financial planning, performance management, and business partnering initiatives by driving budgeting, forecasting, management reporting, financial analysis, and decision-support across business units. The role is responsible for delivering actionable insights to senior leadership, ensuring robust financial governance, leading transformation and automation initiatives, enhancing reporting excellence, and managing key stakeholder relationships while mentoring team members and contributing to the organization's long-term financial and operational objectives. Source: Adani Group | Job ID: 54247

Location : Coimbatore (Gandhipuram / Ganapathy / Saravanampatti / Saibaba colony / Thudiyalur / Kavundampalayam / Peelamedu / Pappanaickenpalayam / Thennampalayam / Arasur / Chinniampalayam / Neelambur / Sulur) Contact : 88702 66194 Industry : Engineering Industries / Telecom Sector Qualification : Any ITI / Diploma / Degree Male / Female Freshers / Experienced : 0 - 4 yrs Salary : 13000/- to 30000/- Positions:- 1. Telecallers / Back Office Female Experienced (15000/- to 18000/-) 1A. HR Managers / Senior HR Executives (25000/- to 30000/-) 1B. Accountants (Tally & GST) - Female (15000/- to 20000/-) 1D. Billing Clerks / Receptionists Male/Female (13000/- to 17000/-) 1C. Showroom In-charge / Sales Co-Ordinators (20000 25000/-) 2. System Operators - (Female) - 12000/- 2A. Quality Assistants / Office Assistants - (Female) : 12000/- 3. Data Entry Operators - (Female) -12000/- to 14000/- 4. Accounts Assistants - (Female) - 12000/- to 15000/- 5. Admin Staff / Office Executives - (Female) - 12000/- to 15000/- 6. Customer Support Executives - (Female) - 12000/- to 15000/- 7. Showroom In-Charge - (Female) - 20000/- 8. Sales Co-Ordinators - (Female) - 16000/- 9. HR Executives / HR Co-Ordinators - (Male) - 15000/- to 18000/- 10. Field Supervisors (Male/Freshers) 18000/- 11. Marketing / Business Executives - (Male) - 18000/- to 25000/- 12. Store Keeper / Warehouse Executives - (Male) - 12000/- 13. Machine Operators / Helpers / Assistants - (Male) - 20000/- 14. Quality Assistants / Quality Inspectors - (Male) - 20000/- 15. Cylindrical Grinding Operators - (Male) - 25000/- to 35000/- 16. Design Engineers / CAD Engineers - Mech (Male) - 13000/- to 25000/- 17. CMM Operators - (Male) - 15000/- to 22000/- Timing : 9.30AM 6.30 PM Sunday Holiday Contact : 88702 66194

Job Summary: We are seeking an experienced and highly analytical professional to join our Internal Audit team. This role is critical in providing independent assurance, enhancing the control environment, and leveraging data analytics to identify anomalies, control gaps, and potential fraud risks. The ideal candidate will have a strong background in internal audit, forensic investigations, and data analytics with extensive exposure to fintech or large service-based organizations. Key Responsibilities:  Lead and execute risk-based internal audits, including operational, financial, and compliance reviews.  Design and implement data analytics frameworks and continuous auditing techniques to enhance audit efficiency and coverage.  Conduct forensic reviews and investigations into suspected fraud, misconduct, or control failures.  Collaborate with cross-functional teams to understand key business processes and identify risks and controls.  Develop automated dashboards and data-driven tools to monitor key risk indicators and red flags.  Report audit findings to senior management and stakeholders with actionable recommendations.  Oversee documentation of working papers, audit procedures, and evidence in line with professional standards.  Mentor junior audit staff and build analytics capability within the team.  Liaise with external auditors, regulators (as needed) on investigations or audits.  Monitor regulatory and industry developments to ensure audit approaches are up to date. Required Qualifications ; Skills:  Chartered Accountant (CA), Certified Internal Auditor (CIA), or Certified Fraud Examiner (CFE) preferred.  2–7 years of relevant experience in internal audit, forensic investigations, or risk advisory in a fintech, BFSI, or large service industry setup.  Strong command of data analytics tools (e.g., SQL, ACL, IDEA, Power BI, Python, R).  Proficient in audit management systems and GRC platforms.  Exceptional analytical, investigative, and report-w