Senior Analytics Engineering Manager in Bengaluru

About Sigmoid Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best-in-class end-to-end data value chain capabilities spanning Data Science, Data Engineering, and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team-first mindset. You'll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices: New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. Role: Associate Director - Delivery About the Role You will lead delivery for large-scale Data Engineering programs, working closely with clients to architect and drive execution of modern data platforms - data pipelines, cloud migrations, lakehouse implementations, and real-time data processing solutions. You will own end-to-end delivery governance across multiple engagements, act as a senior escalation point for clients, and provide technical and delivery leadership to teams building enterprise-grade data engineering solutions. If you enjoy operating at the intersection of technical depth in Data Engineering and delivery leadership, we would like to talk to you. Required Skills & Competencies 15-18 years of experience in Project Delivery, Client Engagement, or Data Engineering Delivery Management, with a significant portion focused on Data Engineering programs. Strong hands-on exposure to Data Engineering tools and technologies, including cloud data platforms Proven experience in Analytics/Consulting/IT Services, managing complex Data Engineering project execution, architecture reviews, and governance. Exposure to US/Global clients, with experience handling client escalations. Ability to manage multiple Data Engineering project teams and pods, mentor Delivery/Engineering Managers and technical leads, and drive engineering process improveme

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 We are looking for a hands-on leader to own the data, analytics, and AI portfolio end to end — and the team that builds it. You are the single point of accountability between business stakeholders and the analytics organization: gathering and pressure-testing requirements, turning ambiguous problems into a prioritized roadmap, and leading the developers, analysts, and data scientists who deliver scalable, trusted, widely adopted products. This is not a role that manages from a distance. You will be in the requirements sessions, the data model reviews, the SQL, the dashboard design critiques, and the model evaluations — and you will be measured on adoption and business outcomes, not backlog size or model sophistication. WHAT YOU'LL DO Team Leadership & Talent ● Lead the team. Manage a talented team of senior and junior developers, analysts, and data scientists — setting direction on best practices, engineering standards, and alignment with team priorities. ● Develop people. Mentor team members, connecting their personal and professional goals to real career growth; set the standard for rigor and craft. Stakeholder Partnership & Requirements ● Be the trusted partner. Serve as the primary interface to the different organizations and run structured discovery to elicit underlying needs, not feature requests. ● Write requirements that hold up. Translate business questions into testa

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 The Senior Manager, Data & Analytics Products owns a portfolio of enterprise-critical Tier 1 products from strategy and discovery through delivery, adoption, service performance, and value realization. The role connects executive and business priorities to product roadmaps and leads across product, data engineering, analytics, governance, architecture, security, operations, and business teams. The ideal candidate is a data and analytics leader with strong product judgment: commercially grounded, technically fluent, practical in the application of AI, and skilled at aligning senior stakeholders and global delivery teams. Success requires the ability to make enterprise data trusted, analytics products useful, and complex strategic programs executable - without requiring hands-on engineering or model development. WHAT YOU'LL DO Tier 1 insights product portfolio strategy. Own the vision, value proposition, target users, product criticality, investment priorities, outcome metrics, and multi-horizon roadmaps for the company's most important data and analytics products. Balance run, grow, and transform priorities across the portfolio. Discovery and product lifecycle. Lead stakeholder interviews, user research, decision-journey and process analysis, and opportunity sizing. Translate important business questions into product requirements, priorities, roadmaps, success measures, and an ongoing improvement a

Role Overview You are a senior product leader who wants to shape how AI transforms IT and cyber risk management at scale. In this role, you will own one of the most strategic product areas in a global GRC SaaS platform, defining how organisations identify, assess, and act on cyber risk — and how CISOs and boards get the clarity they need when it matters most. You will set and drive the product vision, roadmap, and outcomes for IT & Cyber Risk on a multi-solution platform used by enterprises worldwide. You will partner closely with engineering, design, data science, and senior leaders to build AI-native capabilities that automate risk detection, prioritisation, and reporting. Your work will have high executive visibility, real strategic weight, and direct impact on how customers manage governance, risk, and compliance. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the end-to-end product strategy and roadmap for IT & Cyber Risk, aligning to company objectives and broader platform direction. Design and deliver AI-powered features (LLMs, agents, ML models) that automate risk identification, assessment, and reporting for enterprise security and risk teams. Partner with engineering, data science, and design to define technical approaches, ship high-quality releases across web, mobile, and API, and iterate using product analytics. Develop deep market and customer insight by engaging regularly with CISOs, security leaders, and risk managers, and turn those insights into clear product bets. Define, track, and communicate product KPIs, AI performance metrics, and north star outcomes to senior stakeholders, including business cases for major investments. Work cross-functionally with Sales, Customer Success, Professional Services, and Marketing to ensure successful launches and adoption of new IT & Cyber Risk capabilities. These are the essentials you’ll need to get an interview 7+ years of product management experience, includi

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Senior Product Manager, Data Platform (India) Company Overview Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device, for any app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. Role Overview: Senior Product Manager, Data Platform As the Architect of Okta’s data-driven future, the Senior Product Manager for Data Platform orchestrates the evolution of our core data infrastructure, pipelines, and analytics capabilities. This role manages the critical tension between high-performance technical execution and the delivery of actionable business intelligence, translating high-volume identity event streams into strategic outcomes. You will serve as the essential bridge between our India-based engineering teams and a global suite of stakeholders, ensuring Okta's data remains a competitive differentiator and a cornerstone of trust for our customers. Key Responsibilities Orchestrate the long-term product vision and strategy for Okta’s data platform, ensuring infrastructure and analytics roadmaps align with the scale of the world’s identity traffic. Architect a robust API strategy and developer tooling framework to ensure data is seamlessly and securely consumed by services across the entire Okta ecosystem. Collaborate with India-base

About Paytm: 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 Team: The Credit Risk Product Team is at the core of our lending operations, ensuring that our risk assessment models are efficient, scalable, and compliant with regulatory frameworks. The team collaborates closely with data scientists, engineers, and business stakeholders to develop and enhance credit risk models, decisioning frameworks, and risk mitigation strategies. By leveraging advanced analytics and machine learning, the team continuously refines underwriting processes to optimize loan performance and reduce defaults. About the Role: We are looking for a rockstar Senior Product Manager – Lending Risk to lead the Merchant Lending Risk charter at Paytm. You will own the risk product strategy that powers unsecured merchant loans, balancing aggressive growth with rock-solid credit quality and regulatory integrity, while partnering closely with Risk, Data Science, Engineering & Business. Key Responsibilities: * Define and drive the product roadmap for merchant lending risk. * Build and scale rule engines (BRE), decision engines, and model orchestration layers. * Implement audit-ready decision logs and explainability layers. * Build robust policy versioning and experimentation infrastructure. * Lead a team of credit risk analysts owning underwriting, risk, fraud, and monitoring. Requirements: * 5+ years of product management experience in the consumer or fintech industry. * Strong experience in unsecured merchant or SME lending preferred * Strong analytical and structured thinking ability. Why join us •A collaborative output driven program that brings cohesiveness across businesses through tech

Job Title: Project Manager – Data & Analytics Location: Bangalore Role Overview We are looking for an experienced Project Manager to drive Agile delivery for large-scale data and analytics programs. The role requires strong expertise in Scrum, SAFe, and end-to-end delivery management, with a focus on project execution, stakeholder management, and delivering business outcomes. Key Responsibilities Drive end-to-end project/program delivery across data engineering, BI, and analytics initiatives. Act as Scrum Master and facilitate Agile ceremonies, including Sprint Planning, Daily Stand-ups, Reviews, and Retrospectives. Manage scope, timelines, risks, dependencies, and delivery quality. Lead stakeholder discussions and provide regular updates to senior leadership. Drive continuous improvement and proactively resolve project challenges. Prepare impactful PPTs, dashboards, and executive-level summaries. Work independently and ensure projects are delivered within timelines and quality standards. Required Skills & Experience 8–10+ years of progressive experience in Project/Program Management, with the majority of the career in these roles. Prior experience as a Scrum Master. Strong expertise in Agile/Scrum methodologies; SAFe experience is preferred. Excellent communication and stakeholder management skills, including with senior audiences. Strong ownership of project execution, timelines, and quality standards. Proactive problem-solving approach with the ability to take initiative and work independently. Strong presentation skills with the ability to create impactful PPTs and summarize content for senior-level discussions. Working knowledge of Databricks, Snowflake, AWS S3, and AWS Athena. Experience working in data engineering, analytics, or technology environments is preferred. Note: By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your app

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

Who are we? Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500. Offices : New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. Why Join Sigmoid? Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo’ Vibrant inclusive culture of mutual respect and fun through both work and play Engagement Manager – Life Sciences Consulting (Management Consulting Team, India) Roles and Responsibilities: Own & drive execution of the business-analytics roadmap by demonstrating techno-functional consulting & stakeholder management capabilities in collaboration with data science & engineering SMEs and teams Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data science and AI Define business problems concisely, consolidate the findings and hypothesize the proposed solution. Measure and articulate how solutions and results improve clients’ objectives Independently liaise with customers and convincin

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Auth0 is an easy-to-implement, authentication and authorization platform designed by developers for developers. We make applications’ login boxes safe, secure, and seamless for anyone logging in. The Auth0 Data Engineering Team Within Auth0, the Data Engineering team builds solutions to support analytics needs for the whole organization and is in charge of the Data Platform. It is divided into 3 groups: Pipeline team , sitting closer to the Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data Warehouse team sitting closer to the business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away the complexity for data consumers, simplifying the organization’s analysis, reporting and decision-making Interface team responsible for creating and managing connections between the data platform and various external systems (internal or external facing), making sure everyone has access to consistent and reliable data The Senior Data Engineer Opportunity Reporting to the manager of the Data Engineering Pipeline team, the senior data engineer will be a key player in ensuring the reliability and efficiency of our core data platform. This role is crucial, providing the stable data foundation that not only 'runs the business' day-to-day but also directly empowers the organization to unlock growth and build innovative new products. We are looking for an auto

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. We are seeking a seasoned and strategic Senior Product Manager II to join our Product Organization. You will be instrumental in developing new capabilities that address the advanced project management needs of our most valuable and strategic customers, driving meaningful change in their organizations. You will be focused on delivering a completely new Gantt View experience. You will work closely with a dedicated engineering team based in Bangalore and report to the US-based Group Product Manager for Core Views experiences. You Will: Product Strategy & Vision: Define, prioritize, and drive the future roadmap for project management capabilities, ensuring alignment with customer needs, company objectives, and industry best practices. Feature Delivery: Own the end-to-end delivery of a new, scalable Gantt View experience, ensuring a compelling, high-quality customer experience that sets a new bar for Smartsheet. Cross-Functional Partnership: Work in close partnership with design, engineering, user research, data science, and analytics teams to create, test, and launch proposed new capabilities and validate hypotheses. Data-Driven Decision Making: Leverage internal and external data to guide experimentation, make informed product decisions, and evaluate the success of launches. Executive Alignment: Regularly present product strategy, concepts, health metrics, and roadmap updates to senior leadership to educate, influence, and align stakeholders across the company. Product Leadership: Operate effectively at both strategic a

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is hiring a Senior Analytics Engineer to lead the way in data-driven decision-making. You will be responsible for the creation and maintenance of a governed, reliable, and scalable analytics system, transforming raw data into usable datasets for DS/ML, analytics, and reporting. A key aspect of this role is leading the architecture and implementation of efficient data transformation systems within Snowflake, fostering data democratization and impacting business outcomes. Working closely with BI analysts and Data scientists, you will ensure data accessibility and drive activation on critical customer-facing platforms. This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India. You Will: Leading the implementation of efficient and scalable systems that optimize data transformations from our data lake in Snowflake into clean, documented data products. Contribute to the design standards and architectural principle standards, designs and processes. Build and maintain a governed, robust, reliable, and scalable analytics system (DW/DV). Collaborating with BI analysts and data scientists to provide proper data accessibility guidelines. Foster data democratization via activation of data on critical platforms like Smartsheet platform, Amplitude, Thoughtspot , Gainsight. Create and contribute to frameworks that improve data quality and observability to identify and resolve issues faster. Create and implement data testing plans, en

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective. You will report to our Director, Analytics Engineering & Data Governance and work from our Bangalore, India office. You Will: Model and Pipeline Automation Automate the deployment and retraining of ML models, from training through to production inference, by building and managing complete CI/CD/CT (Continuous Training) pipelines, adhering to MLOps best practices. Build, fine-tune, or use pre-trained LLMs, deep learning models or traditional machine learning models. Evaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and/or custom-built models. Governance & Compliance Implement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards. Performance Monitoring Continuously monitor the health and performance of production machine learning models, proactively identifying and correcting model drift, staleness, and performance degradation. Incorporate user feedback for iterative improvements and manage necessary model retraining cycles. Cross-Functional Collaboration Act as the "glue" between Data Scientists (who build models

Identity has become a critical to an organizations security posture. This is true across their entire digital landscape include cloud, traditional on prem and emerging technologies like agentic ai. Britive is at the forefront of a modern approach to delivering identity security with the only modern privileged access management platform that provides unified Privileged Access Visibility, Dynamic Privilege Management and Secrets Governance across infrastructure, platforms & SaaS. Our patent-pending technology is deployed at companies of all sizes around the world, including Fortune 500 companies. We have repeatedly ranked among the hottest Cloud Security startups. Britive is founded by CyberSecurity industry veterans with a successful prior exit and is backed by top-tier VCs. About You You are a passionate Senior Software Engineer who wants to develop and scale our multi-tenant SaaS applications on the AWS platform. You have strong hands-on technical expertise in a variety of big data technologies. From day one, you must be able to hit the ground running and bring all your experience to the team to contribute in the building of a great product. Most importantly, you have a positive “can do” attitude and a passion for delivering technical solutions in a fast-paced startup environment. Your Impact Key Responsibilities: Responsible for design and development of a large-scale data ingestion and analytics. Design and develop data pipelines for real-time and batch data processing for disparate datasets. Develop systems which can store data in highly normalized fashion to allow correlation with other data sources. Collaborate with product management and engineering teams to design and integrate software, conduct code reviews, and troubleshoot product issues. Perform proof of concepts to identify best design options including usage of AWS services. Resear

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by phenomenal technology – and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a Senior Site Reliability Engineer – Storage, you will own the reliability, performance, and scalability of our global NAS, SAN, and Object Storage platforms that power critical internal and external services. You will combine deep storage expertise with strong automation and SRE practices to design, build, and operate highly available storage systems at scale. What you will be doing: Lead design, deployment, and operations of production NAS, SAN, and Object Storage platforms, ensuring reliability, performance, and security. Capture requirements from partner teams, architect storage solutions, and drive end‑to‑end implementation for new and existing services. Develop, maintain, and improve automation for provisioning, configuration, monitoring, incident response, and lifecycle management of storage infrastructure. Participate in on‑call and incident response, lead troubleshooting of complex storage and performance issues, and drive root cause analysis and preventive actions. Define and track SLOs/SLIs and error budgets for storage services, using observability and analytics to continuous