AI Performance Metrics Jobs in Bengaluru

AI Native Product Manager Location: Bengaluru Type: Full-Time Experience Required: 2+ Years in PM (with a B2C focus) Role Overview: Architecting the Future of AI We are seeking a visionary AI Native Product Manager to drive innovation within our core product suite. You will leverage deep expertise in LLMs, Generative AI, and AI Prompting to translate market trends and user needs into a cohesive, high-impact product strategy. This is a role for a "tinkerer" who understands the technical nuances of AI and the psychological drivers of B2C users. The Ideal Candidate Profile AI Specialization: Technical Fluency: Deep knowledge of Large Language Models (LLMs), Gen AI workflows, and advanced Prompt Engineering. Hands-on Tinkering: A genuine passion for AI advancements and a history of experimenting with cutting-edge AI tools. Product Leadership: Metrics Ownership: Proven track record of owning and successfully driving Head Metrics for a digital product. B2C Expertise: Essential experience in B2C product management, focusing on user behavior and retention. GTM Strategy: Experience with Product Launches and Go-to-Market (GTM) strategies is a significant advantage. Agile Mastery: Expert understanding of Agile methodologies and end-to-end product lifecycle management. Key Responsibilities Strategy & Discovery: Visionary Roadmap: Develop and adapt a clear product vision based on market analysis and evolving AI trends. Requirements Engineering: Translate stakeholder needs into precise product specs, user stories, and acceptance criteria. Execution & Growth: Cross-functional Leadership: Lead engineering, design, and marketing teams to ensure seamless execution of the roadmap. End-to-End Development: Manage scope, timelines, and resources to deliver high-quality AI-driven features. Launch & Iterate: Execute successful product launches and monitor post-launch performance to inform continuous improvements. Data-Driven Decisions: Use data analytics and user behavior insights to track KPIs and pivot strategies proactively. Core Competencies Communication: Ability to convey complex AI concepts to non-technical stakeholders clearly. Problem Solving: A proactive, hands-on approach to tackling the unique challenges of non-deterministic AI outputs. Quantitative Mindset: Comfortable with advanced analytics tools to validate product hypotheses.

General Manager Healthcare RCM Operations Job Category: Management Location: Bangalore Job Overview We are seeking an experienced General Manager Healthcare RCM Operations to lead end-to-end Revenue Cycle Management (RCM) operations across multiple clients. This leadership role is responsible for strategic planning, operational excellence, client management, team leadership, compliance, and financial performance, ensuring efficiency, accuracy, and client satisfaction in all RCM functions. Key Responsibilities Strategic Leadership Drive strategy, planning, and execution across all RCM functions including patient access, billing, coding, charge capture, claims processing, payment posting, AR follow-up, and denial management. Develop and implement initiatives to improve collections, reduce denials, and optimize cash flow. Align operational strategies with client expectations, regulatory compliance, and industry best practices. Operational Excellence Oversee large-scale RCM operations across multiple clients/accounts. Monitor key performance indicators (AR days, clean claim rate, denial rate, net collection rate, etc.) and drive continuous improvement. Implement process automation and digital transformation initiatives to enhance operational efficiency. Client & Stakeholder Management Serve as the primary point of contact for client leadership. Build strong client partnerships, ensuring SLAs, TATs, and quality standards are consistently met or exceeded. Manage escalations and drive resolutions with a client-focused approach. Team Leadership Lead, mentor, and inspire a large team of managers, SMEs, and associates across functions. Hire, train, and develop leadership talent to ensure a strong succession pipeline. Promote employee engagement, retention, and a performance-driven culture. Compliance & Quality Ensure strict adherence to HIPAA, CMS guidelines, and client-specific compliance requirements. Establish and maintain robust internal controls and audit processes. Collaborate with Quality and Training teams to maintain high accuracy and performance standards. Financial Management Own the P&L for assigned accounts and operations. Drive cost optimization initiatives without compromising service quality. Provide accurate financial forecasts, budgets, and performance reports to leadership. Key Skills & Competencies Deep expertise in US healthcare RCM (front-end to back-end). Strong knowledge of payer rules, coding guidelines, and HIPAA compliance. Proven experience in managing large-scale operations (250+ FTEs). Client-facing leadership with the ability to build CXO-level relationships. Data-driven decision-making with strong analytical and problem-solving skills. Experience driving digital transformation and automation (RPA, AI in RCM). Excellent communication, negotiation, and stakeholder management capabilities. Success Metrics Improvement in collections and AR performance. Reduction in denials and operational errors. Achievement of SLA and client satisfaction targets. Strong employee retention and a robust leadership pipeline. Profitability and cost optimization in line with business objectives.

Mobile App and Observability SDK Engineer Experience: 3 6 Years Location: Bengaluru About VuNet VuNet is a pioneer in Business Journey Observability, revolutionizing the financial services industry with Big Data and Machine Learning. Our cutting-edge platform offers end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and superior user satisfaction. With over 28 billion digital transactions monitored monthly touching 400 million users worldwide we re already powering leading banks and financial institutions across India and MEA. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized globally by analysts like Gartner and Omdia. Your Role: Mobile App and Observability SDK Engineer At VuNet, the Product Development Team is dedicated to delivering exceptional customer experiences through scalable products. We are looking for a Mobile App and Observability SDK Engineer to join this team. In this role, you ll be at the forefront of building high-quality mobile applications and advancing our Mobile Real User Monitoring (MRUM) initiatives. You ll capture and translate mobile performance data into actionable insights, helping improve the performance and user experience of mobile apps across various platforms. If you re passionate about mobile engineering, user experience, and observability this role offers a unique opportunity to merge these interests into a groundbreaking solution. Roles & Responsibilities Mobile Application Development: Design, develop, and maintain robust, high-performance mobile applications for iOS and Android using Swift, Kotlin, Flutter, or React Native. Testing & Quality Assurance: Implement unit, integration, and UI testing strategies to ensure the app s quality, stability, and regression coverage. Debugging & Profiling: Identify and resolve performance bottlenecks, ANRs, crashes, and memory leaks using tools like Android Studio Profiler, Xcode Instruments, or Flipper. Crash Analysis & Reporting: Integrate crash analytics tools and develop efficient incident tracking and resolution workflows. Performance Monitoring & Insights: Leverage telemetry, profiling, and analytics data to enhance app performance, responsiveness, and overall user experience. Observability Collaboration: Work with SRE and backend teams to export performance metrics, logs, and traces from mobile clients into centralized observability platforms. Code Quality: Write clean, modular, and well-documented code, adhering to best practices in mobile development and SDK maintenance. What You Bring Mandatory Skills: Mobile App Development: 3+ years of hands-on experience in mobile app development using Flutter, React Native, Swift, or Kotlin (experience in at least two of these). App Lifecycle & Performance: Strong understanding of mobile app lifecycle, UI rendering, asynchronous processing, state management, and performance optimization (ANRs, memory management, network latency). Debugging & Profiling Tools: Proficiency in debugging, profiling, and testing mobile applications using tools like Android Studio Profiler, Xcode Instruments, or Flipper. Crash Analytics: Experience integrating and using crash analytics and reporting tools. CI/CD & SDK Versioning: Familiarity with CI/CD pipelines, automated testing, and SDK versioning. Performance Instrumentation: Interest in observability, monitoring, and performance instrumentation with a willingness to learn OpenTelemetry and RUM concepts. Problem-Solving Mindset: Strong analytical and debugging skills, focused on enhancing performance and reliability. Nice-to-Have Skills: OpenTelemetry & SDKs: Exposure to OpenTelemetry SDKs or other instrumentation frameworks for capturing telemetry data (e.g., traces, metrics, logs). Mobile Observability: Familiarity with mobile observability backends. Session Replay & Mobile Analytics: Knowledge of session replay, user behavior tracking, or mobile analytics SDKs. SRE & Monitoring Practices: Understanding of SRE principles, monitoring best practices, and golden signals. Open Source Contributions: Contributions to open-source SDKs or mobile performance tools. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. We re just getting started, and we re looking for people like you to join us in tackling some of the most complex challenges in the digital world. Our team is filled with passionate problem-solvers who thrive in a collaborative, fast-paced environment. We embrace continuous learning, adapt quickly, and stay ahead of emerging technologies like Gen AI. If you re looking to work on cutting-edge technology, make a real impact, and grow with a supportive team, you ll feel right at home here at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. A transparent, inclusive, and high-trust workplace culture. Access to Gen AI and integrated technology workspaces. Supportive career development programs to expand your skills with various training opportunities.

Technical Project Manager - AI Delivery Location: Bengaluru Employment Type: Full-time About Us Exotel is the leading full-stack customer engagement platform and business-focused virtual telecom operator for emerging markets. Founded in 2011, Exotel powers over 50 million daily engagements across voice, video, and messaging channels. Our cloud-based solutions are trusted by over 6,000 companies in more than 60 countries including major players like Ola, Swiggy, Flipkart, GoJek, Byju s, HDFC Bank, Zomato, and Urban Company. We are a Series D company valued at $100 million, with $60 million in ARR, and we provide communication APIs, a modern omnichannel contact center, and a conversational AI platform hosted on the cloud. About the Role Exotel is looking for a Technical Project Manager - AI Delivery to oversee the end-to-end delivery of complex AI-driven projects. You ll be responsible for managing the complete project lifecycle from initiation to closure ensuring that all deliverables meet quality standards, customer requirements, and timelines. As the primary customer interface, you will manage expectations, resolve issues proactively, and ensure successful AI-first implementations for enterprise customers. In this role, you will also contribute technical insights, provide support to your team, and help drive continuous improvement while maintaining a customer-centric focus. Responsibilities Project Planning & Execution: Develop detailed project plans, including scope, objectives, timelines, budgets, and resource allocation. Track progress, ensure deliverables meet quality standards, and ensure timely delivery. Customer Interface: Act as the primary point of contact for customers on assigned projects. Conduct regular status meetings, manage customer expectations, and ensure that their needs are consistently met. Scope & Requirement Management: Work closely with customers to define and document project requirements, manage scope changes, and ensure alignment with product capabilities. Risk Management: Identify potential project risks, develop mitigation strategies, and ensure timely issue resolution. Escalate risks to the Lead Project Manager when necessary. Cross-Functional Coordination: Coordinate daily activities with delivery and engineering teams, ensuring that technical tasks align with project timelines. Facilitate smooth handovers to support engineers post-delivery. Reporting & Stakeholder Communication: Prepare and present regular project status reports to the Lead Project Manager and other internal stakeholders. Methodology Adherence: Ensure all project activities adhere to AI delivery methodologies and best practices, optimizing workflows and processes. Mentorship: Provide mentorship to junior project team members, fostering a high-performing, value-driven organizational culture. Ownership: Take ownership of business satisfaction through the tested deployment of solutions and by consistently delivering on project objectives. Experience: 5+ years of project management experience, preferably in software or SaaS delivery, with a proven track record of managing complex projects from initiation to closure. Technical Knowledge: Strong understanding of integration methods for CRMs and APIs. Familiarity with cloud systems, architecture, networking, and deployment methodologies. AI/ML Knowledge: Familiarity with AI/ML, NLP, or conversational AI concepts is a plus. Requirements Gathering: Experience in gathering and translating customer requirements into actionable business use cases. Customer Management: Ability to run customer meetings, manage expectations, and handle change requests effectively. Technical Expertise: Strong understanding of Linux, networking, databases, message queues, and caching. GenAI Exposure: Hands-on experience with GenAI technologies, such as prompt engineering and Large Language Models (LLM) applications. Soft Skills: Excellent time management, communication, and interpersonal skills. Strong organizational and problem-solving abilities. Customer-Centric: Proactive, customer-focused mindset, ensuring timely issue resolution and high-quality delivery. General Skills Lead the implementation and testing of GenAI projects, ensuring alignment with customer requirements and business goals. Coordinate with pre-sales, product, and support teams to set expectations and deliver according to timelines. Ensure adherence to SLAs, proactively resolve delivery bottlenecks, and maintain a smooth delivery pipeline. Mentor junior engineers and uphold high-quality standards in all project deliverables. Innovation at Scale: Work on cutting-edge AI and communication technologies impacting millions of people daily. Growth & Impact: Be part of a rapidly growing company with ample opportunities for career development and personal growth. Collaborative Culture: Join a passionate, supportive, and high-performing team where collaboration and innovation are core values. Competitive Benefits: Enjoy comprehensive health insurance, mental wellness support, and a robust benefits package. If you are an experienced Project Manager with a strong technical background and a passion for AI-driven solutions, we d love to hear from you. Apply Now to join the Exotel team as a Technical Project Manager - AI Delivery and play a key role in transforming customer engagement across emerging markets.

Manager, Go-To-Market Technology Support Operations Location: Bengaluru Department: Business Technology Experience: 7+ Years (3+ Years in Team Management) Employment Type: Full-Time About Okta Okta is The World s Identity Company. We empower everyone to securely use any technology, on any device, from anywhere. Our Okta and Auth0 platforms offer secure access, authentication, and automation placing identity at the center of digital transformation and enterprise growth. At Okta, we celebrate diverse backgrounds and experiences. We aren t looking for a perfect fit we re looking for lifelong learners and collaborative builders who bring unique value to our mission. The Team You ll join the Go-To-Market Technology (GTM) group, a core part of Okta s Technology, Data & Intelligence (TDI) organization. Our vision: drive clarity, collaboration, and accountability across the business while enabling Okta s scale and growth. The Opportunity We re seeking a Manager to lead the Support Operations team within GTM Technology. This role is responsible for managing a team of Business Application Administrators who oversee and support Okta s GTM systems primarily Salesforce and integrated applications such as ServiceNow. You ll drive operational excellence, oversee capacity and team development, collaborate cross-functionally, and shape how we support and optimize business applications across global teams. This role requires strong technical know-how of the Salesforce ecosystem, a mindset for process improvement, and a passion for team leadership. Key Responsibilities Leadership & Talent Development Build, motivate, and lead a high-performing team of application administrators. Hire, mentor, and retain top talent through coaching and career planning. Provide direction and remove roadblocks to help your team succeed. Foster a culture of learning, ownership, and continuous improvement. Performance Management Define and track KPIs and team SLAs with a data-driven approach. Manage team resource allocation and adjust capacity as business needs shift. Identify skill gaps and build plans to address them through training and hiring. Cross-Functional Collaboration Partner with Technology, Data & Intelligence, Security, and Compliance teams to align on goals and incident handling. Refine escalation processes for a smooth support experience across teams. Enable seamless knowledge transfer and system supportability. Documentation & Automation Lead the Knowledge Centered Service (KCS) program to scale AI-driven incident resolution. Standardize and document team operational processes to ensure consistency. Security & Compliance Ensure all Salesforce and GTM-related systems adhere to compliance standards such as SOX. Collaborate with security teams on audits and mitigation of any vulnerabilities. Innovation Culture Encourage your team to explore new Salesforce, AI, and automation features. Promote participation in hackathons, Fix-It Days, and other internal innovation initiatives. Required Skills & Experience 7+ years of experience in IT or Business Systems, with 3+ years in people management. Strong expertise in the Salesforce ecosystem and enterprise SaaS tools like ServiceNow, Jira, Confluence, GitHub, etc. Experience in a global or multi-location work environment. Deep understanding of compliance (e.g., SOX) and security standards for enterprise applications. Proven track record of driving team innovation and embedding modern tools or practices. Excellent interpersonal and executive-level communication skills. Strong organizational, time management, and stakeholder alignment capabilities. Ability to remain resilient under pressure and maintain focus on team and business outcomes. High Impact: Drive global support operations for a critical business tech stack. Empowered Leadership: Build and lead a team in a dynamic, growing organization. Growth & Learning: Opportunities for continuous development in technology, leadership, and innovation. Collaborative Culture: Join a purpose-driven company with a human-centered, inclusive team culture. Join Us Become a part of a company that s transforming how identity is secured and scaled in the modern world. At Okta, you belong.

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Job Title: Assistant Manager Process Design Location: Bangalore Employment Type: Full-time About Zeta: Zeta is a Next-Gen Banking Tech company empowering banks and fintechs to launch innovative financial products. Co-founded by Bhavin Turakhia and Ramki Gaddipati in 2015, Zeta s flagship platform Zeta Tachyon is the industry s first modern, cloud-native, fully API-enabled banking stack. With over 15 million cards issued globally, Zeta Tachyon enables: Seamless, digital-first cardholder experiences Embeddable banking support for partners Hyper-personalized card programs Rapid product launches through web-based configurators Robust compliance and fraud management capabilities Zeta is working with major banks and fintechs globally and has 1,700+ employees, with 70% in R&D. The company raised $280M at a $1.5B valuation in 2021, backed by SoftBank, Mastercard, and other top investors. Role Overview: We are looking for an Assistant Manager Process Design who will drive automation, process transformation, and customer experience optimization. This role involves working closely with Product, Engineering, and Operations teams to build scalable and efficient customer support processes. Key Responsibilities: Identify opportunities for automation and process improvements and create a transformation roadmap. Design intuitive chatbot customer flows to enhance digital experience. Re-engineer existing processes to improve First Time Resolution (FTR) and overall customer satisfaction (CSAT). Set up proactive monitoring for customer journey leakages and coordinate with relevant teams for quick resolution. Establish a robust Voice of Customer (VOC) mechanism using inputs from multiple channels (email, chat, NPS, social media). Define and implement strategic process transformation initiatives to enhance the customer journey. Lead cross-functional efforts with Product, Engineering, and Operations to deliver process excellence. Support recovery work when necessary, ensuring business continuity. Deliver timely status updates to management and project stakeholders. Required Skills & Competencies: 2 4 years of experience in Process Design, Process Excellence, or Operational Transformation. Background in Operational Metrics (CSAT, AHT, FTR, Re-opens, FRT). Strong knowledge of Excel and PowerPoint. Six Sigma certification (preferably Black Belt) and experience with Lean methodologies. Familiarity with AI, automation, and digital tools in customer support. Excellent analytical and critical thinking abilities. Strong decision-making skills in real-time scenarios. Proven ability to work with multiple stakeholders to drive results. Excellent verbal and written communication skills. Qualifications: Bachelor s Degree (B.E./B.Tech) or a Postgraduate Degree / MBA in a relevant field. Equal Opportunity Employer: Zeta celebrates diversity and is committed to creating an inclusive environment for all. We welcome applicants from all backgrounds, cultures, and communities and believe a diverse workforce is key to our success. Qualification : Bachelors Degree (B.E./B.Tech) or a Postgraduate Degree / MBA in a relevant field

Test Engineer (Senior QA Engineer / SDET) Department: R&D - Engineering Location: Bangalore About Acqueon: Acqueon is a leading provider of Generative AI-powered Revenue Execution Platforms. We empower customer-centric brands to orchestrate multi-channel campaigns and proactively engage consumers through voice, messaging, and email. Trusted by over 200 clients globally, we help enterprises elevate their customer experience, improve revenue recovery, increase sales, and build lasting loyalty. At the heart of Acqueon is a relentless focus on creating delightful, friction-free, and referral-worthy customer experiences using cutting-edge AI and data-driven technology. Position Overview: We are seeking a talented and experienced Senior QA Engineer / SDET to join our growing engineering team. This role focuses heavily on performance testing and test automation, ensuring our applications meet the highest standards of scalability, reliability, and usability. You will work in a collaborative environment with developers, DevOps engineers, and product teams, taking ownership of designing and executing complex test strategies using tools such as JMeter, Gatling, k6.io, and Selenium WebDriver. Key Responsibilities: Design, develop, and execute performance tests for web applications and backend APIs using JMeter, Gatling, or k6.io. Create realistic test scenarios and simulate workloads to evaluate system behavior under varying conditions. Conduct performance tuning and optimization, identify system bottlenecks, and provide recommendations for improvement. Work closely with development teams to analyze test results, diagnose issues, and drive resolutions. Build and maintain automation frameworks using Selenium WebDriver with Java, Cucumber, JUnit, TestNG, or Playwright. Contribute to the integration of performance and functional tests into CI/CD pipelines. Participate in architectural and design discussions to ensure performance considerations are included from the outset. Document test strategies, metrics, and findings, and communicate them clearly across teams. Required Qualifications: Bachelor s degree in Computer Science, Engineering, or a related field. 6 7 years of experience in performance testing and test automation. Strong hands-on experience with JMeter, Gatling, or k6.io. Expertise in building and executing performance test plans for web applications and APIs. Deep understanding of performance metrics, system tuning, and capacity planning. Proficiency in automation using Selenium WebDriver with Java, and frameworks like Cucumber, JUnit, TestNG, or Playwright. Solid knowledge of web technologies, protocols (HTTP/S), and application architecture. Strong analytical skills, attention to detail, and ability to work in dynamic, fast-paced environments. Excellent communication and collaboration skills. Preferred Experience: Experience with Agile/Scrum methodologies. Familiarity with CI/CD pipelines and tools like Jenkins, GitHub Actions, or GitLab CI. Exposure to cloud-based performance testing environments. Experience with monitoring tools (e.g., Grafana, Prometheus, New Relic) is a plus. What We Offer: A fast-paced, high-growth environment working on next-gen customer engagement products. The opportunity to work with cutting-edge technologies and global enterprise clients. A collaborative, people-first culture that values curiosity, ownership, and excellence. If you re passionate about quality, performance, and automation and love solving complex challenges we d love to hear from you. Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Job Title: Senior Data Business Partner Location: Bengaluru Department: Data & Analytics Experience: Senior-level Company: OSB India (Offshore subsidiary of OSB Group) About OSB India: OSB India (OSBI) is a wholly owned offshore subsidiary of OSB Group, a leading UK financial services provider. Established in 2004, OSBI delivers exceptional customer support and operational services to the Group s UK brands. Known for driving process excellence, innovation, and functional efficiencies, OSBI is a key strategic arm supporting the Group s long-term goals. Role Overview: We are looking for a Senior Data Business Partner to bridge the gap between business and data analytics. In this role, you will collaborate with business leaders to identify analytical needs, design data-driven solutions, and drive adoption of data across the organization. This is a high-impact role requiring strong analytical acumen, stakeholder management skills, and a passion for delivering insights that support strategic decision-making. Key Responsibilities: Build trusted relationships with business stakeholders to understand their data needs and priorities. Collaborate cross-functionally to translate complex business challenges into data solutions. Lead in-depth analysis using market-standard algorithms and modelling techniques. Ensure adherence to Data Governance standards, policies, and controls. Deliver timely, accurate, and well-documented data content and insights. Advise on analytics delivery planning across projects and business functions. Enable self-service analytics by training business users on available tools and platforms. Advocate and implement innovations in AI, Machine Learning, and data analytics. Partner with Data Engineering and Architecture teams, ensuring adherence to technical standards and best practices. Present findings and strategic insights to senior management and governance forums. Mentor team members on analytical approaches and best practices. Promote a culture of continuous improvement, innovation, and high-quality data usage. Champion the use of central data repositories, relational models, and the Data Warehouse to deliver consistent and reliable BI outputs. Identify risks related to data or projects and escalate when necessary. Support internal training efforts to improve data literacy across departments. Ensure compliance with Risk Management and Data Governance policies. Stay current on industry trends, tools, and technologies to enhance analytics capability. Candidate Profile: Qualifications: Bachelor s or Master s degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field. Certifications in data analytics, data science, or relevant tools/platforms are a plus. Experience: 6+ years in a business-facing data analytics role, ideally within financial services or technology. Strong experience in data analysis, modelling, and data storytelling. Proven ability to work with senior business stakeholders and executive teams. Experience in mentoring and leading analytics professionals. Demonstrated expertise in translating business needs into actionable insights. Technical Skills: Proficiency in tools such as Power BI, Tableau, SQL, Python/R, or Excel for data analysis. Familiarity with data warehousing, ETL processes, and relational databases. Understanding of data governance, risk, and compliance frameworks. Exposure to AI/ML applications in business contexts is a strong advantage. Behavioral Competencies: Excellent communication and presentation skills. Strong business acumen with the ability to drive value from data. Strategic thinking with a problem-solving mindset. Collaborative, adaptable, and proactive. At OSBI, we believe in empowering individuals to grow both personally and professionally. Whether you re early in your career or a seasoned expert, we provide an inclusive and supportive environment to help you thrive. Be a part of a connected organization where your contributions make a difference and your career is a journey, not a destination. Qualification : Bachelors or Masters degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field

Digital Marketing Executive Location: Bengaluru, India Experience: 3 - 5 Years Job Type: Full-time About VuNet VuNet pioneers Business Journey Observability using Big Data and Machine Learning to revolutionize digital experiences in financial services. Monitoring over 28 billion transactions monthly and impacting 300 million users, VuNet powers major banks across India and MEA. Role Overview: Digital Marketing Executive You will develop and manage online marketing campaigns to boost brand visibility, drive website traffic, and generate leads via SEO, social media, email marketing, and paid ads. Your work will significantly impact VuNet s growth and market presence. Key Responsibilities Execute email marketing campaigns and nurture sequences using HubSpot or similar tools Create and edit engaging marketing content for social media, newsletters, landing pages, and collateral Support multi-channel campaigns and optimize performance continuously Manage and update social media channels including LinkedIn, YouTube, and Twitter Analyze campaign performance and lead metrics to improve outcomes Basic knowledge of On-Page, Affiliate, and Technical SEO is a plus What You Bring 2-3 years experience in B2B marketing, preferably in tech or SaaS Hands-on experience with marketing automation tools like HubSpot, Zoho, or Mailchimp Strong written communication skills for content creation Comfortable with analytics tools and performance dashboards Collaborative mindset with excellent multitasking skills 100% health insurance covering you and dependents Mental wellness and 1:1 counseling support Culture fostering innovation, growth, and ownership Inclusive and transparent workplace environment Access to new Gen AI and integrated technology workspace Career development with training programs to enhance skills

Job Title: SDR Manager (Outbound) US Market Location: Bangalore, India (Work from Office, 5 days/week) Shift: US Shift (6 PM 3 AM IST) Experience: 3 6 Years in SaaS Sales (1-2 years in a leadership role) Department: Sales & GTM Employment Type: Full-Time About Spyne At Spyne, we re revolutionizing the way cars are marketed and sold with cutting-edge Generative AI. What began as a vision to help dealers sell online faster with AI-powered visuals has evolved into a full-fledged AI-first automotive retail ecosystem. Backed by $16M in Series A funding from top investors like Vertex Ventures and Accel, Spyne has: Expanded across the US & EU markets Launched AI-powered Image & 360 solutions Achieved 5X revenue growth in 15 months, with plans to scale 3-4X more this year Now, we are rolling out a GenAI Automotive Retail Suite and accelerating our expansion into the US market, targeting 150K+ dealers. We are setting up Spyne s first GTM hub in Bangalore and need an SDR Manager (Outbound) to lead and grow our team, specifically focused on driving outbound sales for the US market. This role is ideal for someone with experience in building high-performance sales teams, comfortable with strategy, coaching, and leading by example. Lead and Scale: Build and lead the first SDR team based in Bangalore, focused on outbound prospecting for the US market. Strategy & Execution: Set outbound sales strategies, define KPIs, and track performance (meetings booked, pipeline generated, conversion rates). Collaborate with Marketing: Work closely with Marketing to optimize outbound messaging, campaigns, and lead generation. Process Optimization: Implement best practices, tools, and processes to drive team productivity and success. Team Coaching: Provide regular coaching, conduct 1:1s, call reviews, and performance feedback to elevate SDR performance. Lead by Example: Be hands-on in working on key accounts and executing outbound experiments to drive results. Account Executive Alignment: Partner with AEs to ensure seamless lead hand-offs and high-quality conversions. Report & Analyze: Share performance metrics and insights with the GTM leadership to drive continuous improvement. Experience: 3 6 years of outbound SaaS sales experience, with at least 1-2 years in a leadership or managerial role. Team Building & Coaching: Proven track record of building, coaching, and scaling SDR/BDR teams. SaaS Expertise: Deep understanding of outbound sales strategies, ICP targeting, and CRM hygiene (experience with Salesforce, HubSpot, Apollo, LinkedIn Sales Navigator is a plus). Analytical Skills: Strong ability to analyze data and report on team performance. High Ownership: Strong drive for results and a passion for scaling teams in a fast-paced environment. US Shift Availability: Comfortable working US hours and leading by example. Team Onboarding: Hire, onboard, and ramp up your first SDR cohort in Bangalore. Create Outbound Playbooks: Tailor outbound playbooks for the US automotive market. Optimize Messaging: Collaborate with Marketing to optimize outbound campaigns and messaging. Establish Metrics: Set up weekly coaching, performance reviews, and regular reporting cadences. Pipeline Generation: Hit pipeline goals and foster a high-performance sales culture. High Ownership Culture: Zero politics, maximum impact. Global Exposure: Work directly with US leadership, clients, and GTM heads. Career Growth: Fast-track career path to GTM leadership roles. Massive Market Opportunity: Tap into the $1T+ global auto retail industry ripe for disruption. Top Investor Backing: Funded by Vertex, Accel, and other leading investors. If you re a hands-on sales leader looking to make a massive impact and thrive in a hyper-growth SaaS environment, Spyne is the place for you. Join us as we build the next big B2B SaaS success story from Bangalore, India s SaaS capital! Apply Now and help us drive Spyne s global expansion.

Job Title: Sales Development Representative (SDR) Location: Bengaluru, India Company: LimeChat About LimeChat LimeChat is transforming conversational commerce by building AI agents that interact with customers at human-level quality especially on WhatsApp. We're a Y Combinator W21 company, backed by top investors and trusted by 300+ brands like HUL, ITC, Wow Skin Science, Snitch, and Piramal Health. We re now expanding into enterprise verticals like BFSI, Healthcare, and Retail, making this a pivotal time to join our growing team. If you re a fast-paced problem solver, self-starter, and driven by results you'll thrive here. What You ll Do As a Sales Development Representative (SDR), you ll be the first point of contact between LimeChat and potential clients. You ll identify prospects, personalize outreach, and initiate conversations that lead to sales meetings and opportunities. Key Responsibilities Build targeted prospect lists from tools like LinkedIn, Apollo, ZoomInfo, etc. Initiate outreach via cold calls, emails, LinkedIn, and other outbound channels. Craft compelling, personalized messaging tailored to industry and prospect pain points. Understand LimeChat s product offerings and how they solve specific business challenges. Set up discovery calls and product demos with Account Executives. Collaborate with the marketing and sales teams to optimize campaigns and outreach strategies. Track outreach activity and performance metrics; maintain detailed records in CRM. Stay informed on industry trends, competitor offerings, and product updates. Must-Have Skills 2+ years of outbound B2B sales development experience in a SaaS or product company. Proven success in cold outreach, especially across LinkedIn, email, and phone. Strong copywriting and personalization skills to engage decision-makers. Resilient, go-getter attitude with the ability to handle rejections. Excellent verbal and written communication skills. Ability to qualify leads and identify buying signals effectively. Bachelor's degree (minimum qualification). Nice to Have Experience selling or pitching to eCommerce, D2C, or retail verticals. Familiarity with CRM tools (e.g., HubSpot, Salesforce). Interest in or understanding of AI/chatbots/conversational commerce. Unlimited PTO / Sick Leave Take the time you need. Subsidized Fitness Membership Stay in top form. Free Lunch & Snacks Fuel your day. Pet-Friendly Office Bring your dog or cat to work. Annual Company Retreat Work hard, celebrate harder. Culture Quotes We Live By It s okay to fail. It s not okay to not try. Do the right thing when others are not looking. If you re ready to hustle hard, learn fast, and grow with one of the most exciting startups in conversational AI, we d love to meet you. Apply now and be part of LimeChat s growth journey! Qualification : Bachelor's degree

Machine Learning Engineer Full-Time - Bengaluru, India - Data Science / Artificial Intelligence / Engineering Join our dynamic Data Science / Artificial Intelligence / Engineering team in Bengaluru, India as a Full-Time Machine Learning Engineer and play a key role in driving data-driven innovation! We are seeking a skilled and results-oriented Machine Learning Engineer to design, build, and deploy scalable machine learning models that address real-world business challenges. You will collaborate closely with data scientists, engineers, and product managers to transform raw data into actionable insights and integrate intelligent features into our products. As a Machine Learning Engineer, you will be responsible for the complete lifecycle of machine learning models and pipelines, from design and development to seamless deployment for a variety of applications. This includes classification, regression, clustering, recommendation systems, and time-series forecasting. You will leverage your expertise to preprocess and analyze large and complex datasets, extracting meaningful features and valuable insights. Collaboration with cross-functional teams will be crucial as you identify strategic ML opportunities and define clear success metrics. A key aspect of this role involves optimizing machine learning models for peak performance, scalability, and accuracy within production environments. You will build robust APIs or efficient microservices to integrate these models seamlessly into our applications, utilizing tools such as Flask or FastAPI. Continuous improvement is paramount, and you will be responsible for the ongoing monitoring and retraining of models based on their performance and any signs of data drift. Staying at the forefront of the field is essential, and you will be expected to stay updated with the latest ML research and emerging technologies, applying them to continuously enhance our product capabilities. Key Responsibilities: Design, develop, and deploy machine learning models and pipelines for diverse applications including classification, regression, clustering, recommendation, and time-series forecasting. Preprocess and analyze large datasets to extract meaningful features and actionable insights. Collaborate effectively with cross-functional teams to identify strategic ML opportunities and define clear success metrics. Optimize models for maximum performance, scalability, and accuracy in production environments. Build robust APIs or efficient microservices to integrate ML models into applications using tools like Flask or FastAPI. Continuously monitor and retrain models based on performance metrics and potential data drift. Stay updated with the latest ML research and technologies and apply them to enhance product capabilities. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. 2+ years of proven experience as a Machine Learning Engineer or in a similar role. Strong proficiency in Python and key ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch. Practical experience working with both SQL and NoSQL databases. Solid knowledge of essential data preprocessing, effective feature engineering, and robust model evaluation techniques. Familiarity with standard software engineering practices, including version control (Git), thorough code reviews, and efficient CI/CD pipelines. Preferred Qualifications: Prior experience with deep learning, natural language processing (NLP), or computer vision. Familiarity with major cloud services like AWS, GCP, or Azure (especially SageMaker, Vertex AI, etc.). Understanding of modern MLOps tools and practices (e.g., MLflow, Kubeflow, DVC). Practical experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of big data tools (e.g., Spark, Hadoop) is considered a significant plus. What We Offer: Competitive salary and performance-based incentives to reward your contributions. Comprehensive health insurance and valuable wellness benefits to support your well-being. Dedicated learning and development programs for continuous professional growth. Exciting opportunities to work on impactful, real-world AI/ML projects with significant scale. A collaborative, inclusive, and innovative work culture that fosters teamwork and creativity. Flexible working hours and a hybrid work model to promote a healthy work-life balance.

Join Us in Reshaping the Future of Data Storage We re on the cutting edge of the tech industry, revolutionizing the data storage landscape. At Pure Storage, you ll lead with innovation, grow alongside us, and collaborate with the brightest minds in the industry. If you re passionate about transforming the tech world and ready to make a lasting impact, come join us! The Challenge: The Pure Storage Technical Writing Team is looking for a strong leader to drive the next level of our technical content. As a leader within the team, you will manage talented technical writers, enhance documentation processes, and deliver world-class technical content. If you're creative, organized, and eager to solve customer problems, this role is for you. Key Responsibilities: Lead & Inspire: Manage and grow a transformative team of technical writers to deliver exceptional documentation for Pure Storage. End-to-End Documentation: Own and continuously improve the documentation process, including release notes, user guides, API guides, and more. Analytics & Reporting: Use analytics tools to measure the effectiveness of your content, providing reports and recommendations for improvement. Collaborative Partnerships: Build strong relationships with product and engineering teams to stay up-to-date on new features and products. Product Expertise: Become a subject matter expert in Pure Storage technology and use this knowledge to produce high-quality documentation. Customer-Centric Content: Develop content plans that target customer pain points, focusing on delivering documentation that enhances the user experience. Career Growth: Foster a career path for yourself and your team, continuously building knowledge and expanding horizons. What You ll Need to Bring: Leadership Experience: 2+ years managing a technical writing team, with a vision for advancing the organization to the next level. Technical Writing Expertise: 5+ years of software technical writing experience, with a strong understanding of documentation processes and tools. Metrics-Driven: Ability to create and analyze key performance metrics to improve individual and team outcomes. Mentorship Skills: Proven ability to mentor and guide writers, optimizing team performance. Technology Enthusiast: Passion for adopting new technologies, such as AI, to enhance team productivity and content quality. Writing Excellence: Exceptional writing, editing, and communication skills in English, with experience maintaining a corporate style guide. DITA & CMS Proficiency: Familiarity with working in a DITA environment and using content management systems (CMS) and authoring tools. Collaboration Skills: Strong interpersonal abilities to work effectively with writers, engineers, program managers, QA engineers, and support teams. Organizational Skills: Ability to manage multiple projects simultaneously, delivering quality content on time, even under tight deadlines. Familiarity with Tools: Experience using JIRA, Confluence (Wiki), and working in Agile environments. Team-Oriented: A collaborative, cross-functional mindset with a sense of ownership and energy. What You Can Expect from Us: Pure Innovation: We celebrate critical thinking, challenges, and trailblazers who are passionate about innovation. Pure Growth: We provide the space and support for you to grow alongside us, contributing to something meaningful. We ve been recognized in Fortune s Best Large Workplaces in the Bay Area, Fortune s Best Workplaces for Millennials, and certified as a Great Place to Work. Pure Team: We value collaboration, team building, and putting the greater good ahead of ego.

Job Title: Usage Manager Job Summary We are seeking an experienced Usage Manager to join our team. You will support the daily Order to Cash operations by helping lead the global revenue accounting operations and revenue close process. You will play an essential role in data integrity; ensuring all customer usage information is accurately reportable. You will partner with other teams to create and promote a scalable order to cash process. This is an individual contributor position, and will be the first hire in India! The Impact You Will Have Lead and manage a team of Revenue Operations Analysts, including performance management, coaching, and development. Manage escalations related to order-to-cash processes, ensuring timely resolution and communication with stakeholders. Monthly metrics highlighting performance against agreed SLAs and KPIs. Maintain and/or create detailed SOPs for all processes. Prepare proposed usage adjustments and credits, when applicable. Analyze usage for signed contracts with assurance to accuracy and compliance with company revenue recognition guidelines. Partner with Sales, Deal Desk, Billing, Engineering, IT, Legal, and Revenue Teams to develop expertise in order-to-cash policies and procedures specific to usage. Create and maintain detailed records in our ERP and billing platform NetSuite/Metronome to support billing, commissions, forecasting, sales, and revenue recognition processes, adhering to internal service level agreements. Generate and maintain comprehensive documentation of policies and processes, and assist in identifying process improvement and automation opportunities. Execute month-end accounting and reporting activities, ensuring timely and accurate financial close processes. Document controls and procedures for both new and existing business models to maintain compliance and operational excellence. Manage special projects as assigned, delivering accurate and timely results. Change management or SOPs with any system enhancements. Provide audit support for both control and substantive testing, ensuring compliance with internal and external requirements. Collaborate on process and system implementation and enhancement projects, assisting with user acceptance testing (UAT) as needed. Proactively identify areas for process optimization, recommending and implementing best practices for efficiency and scalability. What We Look For Bachelor s degree in Finance, Accounting, Business Administration, or a related field preferred. Minimum of 8 years of revenue operational accounting experience, with demonstrated experience leading and managing teams. Strong understanding of usage-based billing models and associated financial processes. Proficiency with ERP systems and payment processing platforms; experience with a global ERP such as NetSuite and Salesforce is required. High level of analytical skills with the ability to interpret large datasets, generate reports, and perform complex reconciliations using spreadsheet software (e.g., Excel, Google Sheets). Ability to adapt to evolving business needs and drive change management. Must be adaptive to change. Proven ability to manage team performance, provide constructive feedback, and foster a positive and productive team environment. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Qualification : Bachelors degree in Finance, Accounting, Business Administration, or a related field preferred.

About the Job Join us as a Generative AI Engineer, where you ll design and develop cutting-edge AI-powered solutions that redefine creativity and innovation. Your work will push the boundaries of what s possible in content generation, from text and images to audio and beyond. In this job, you will: Research & Development: Stay up-to-date with the latest advancements in generative AI and deep learning. Contribute to the development of novel models, exploring innovative algorithms and methodologies. Model Architecture: Design custom generative models using neural network architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and others tailored for specific applications. Data Processing: Prepare and preprocess large-scale datasets for model training. Apply techniques like data augmentation, normalization, and transformation to improve performance. Training & Optimization: Train generative models using frameworks like TensorFlow and PyTorch, optimizing for efficiency, speed, and quality. Hyperparameter Tuning: Fine-tune models for optimal performance, balancing convergence speed, stability, and output diversity. Evaluation Metrics: Develop metrics to assess the quality, diversity, and novelty of generated content. Continuously iterate and improve models based on these metrics. Deployment: Work with software engineers to integrate generative models into production systems, ensuring scalability, reliability, and performance. Collaboration: Partner with data scientists, machine learning engineers, designers, and product managers to translate business requirements into generative AI solutions. Documentation: Document research, experiments, and codebase thoroughly for internal use and external stakeholders. Continuous Learning: Stay informed on emerging technologies, attend industry events, and contribute to ongoing innovation. Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Engineering, or related fields. Strong foundation in machine learning, deep learning, and neural networks. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Hands-on experience with generative models like GANs, VAEs, and their practical applications. Solid understanding of data preprocessing, feature extraction, and model evaluation. Experience training and optimizing neural networks on large-scale datasets. Familiarity with cloud computing and distributed systems (AWS, Azure, GCP) is a plus. Strong problem-solving skills and a creative mindset. Excellent communication and teamwork abilities. A portfolio of generative AI projects or publications is a strong advantage. About Gramener We create software that tells data stories. For example: We advised a global computer manufacturer to focus on order delivery time, increasing NPS by 18% and generating incremental revenue of >$50M. We helped a foundation predict mosquito release points, reducing the process time from 3 weeks to 2 hours in their mission to protect 100M lives from malaria over 5 years. We re good at what we do, which is why we re growing 40% year-over-year. We re looking for passionate innovators to help us scale further. First-hand experience with C-suite-focused business advisory in data & analytics. Opportunities to collaborate with data science experts, domain champions, and client teams, being part of transformative change. A chance to experiment, take risks, and solve meaningful problems. Supportive colleagues and a dynamic environment you ll love working in. Key Metrics for Success Solution quality and business value delivered to clients. Successful project deliveries. Customer satisfaction on engagements. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or related fields.

Job Overview: We are seeking a highly skilled Frontline Senior Technical Solutions Engineer with over 5 years of experience to join our Platform Support team. This role is pivotal in delivering exceptional support for our Databricks Data Intelligence platform, addressing complex technical challenges, and ensuring the seamless operation of our data solutions. As a frontline engineer, you will be the primary point of contact for critical issues, working closely with both internal teams and customers to resolve high-impact problems and drive platform improvements. Key Responsibilities: Frontline Support: Serve as the primary technical point of contact for escalated issues related to the Databricks Data Intelligence platform. Provide expert-level troubleshooting, diagnostics, and resolution for complex problems affecting system performance and reliability. Customer Interaction: Engage with customers directly to understand their technical issues and requirements. Provide timely, clear, and actionable solutions to ensure high levels of customer satisfaction. Incident Management: Lead the resolution of high-priority incidents, coordinating with various teams to address and mitigate issues swiftly. Conduct thorough root cause analyses and develop preventive measures to avoid recurrence. Collaboration: Work closely with engineering, product management, and DevOps teams to share insights, identify recurring issues, and drive improvements to the Databricks Data Intelligence platform. Documentation and Knowledge Sharing: Create and maintain detailed documentation on support procedures, known issues, and solutions. Contribute to internal knowledge bases and create training materials to assist other support engineers. Performance Monitoring: Monitor and analyze platform performance metrics to identify potential issues before they impact customers. Implement optimizations and enhancements to improve platform stability and efficiency. Platform Upgrades: Manage and oversee the deployment of Databricks Data Intelligence platform upgrades and patches, ensuring minimal disruption to services and maintaining system integrity. Innovation and Improvement: Stay abreast of industry trends and advancements in Databricks technology. Propose and drive initiatives to enhance platform capabilities and support processes. Customer Feedback: Collect and analyze customer feedback to drive continuous improvement in support processes and platform features. Qualifications: Experience: Minimum of 5 years of hands-on experience in a technical support or engineering role related to Databricks Data Intelligence platform, cloud data platforms, or big data technologies. Technical Skills: A deep understanding of Databricks architecture and Apache Spark, along with experience in cloud platforms like AWS, Azure, or GCP, is essential. Strong capabilities in designing and managing data pipelines, distributed computing are required. Proficiency in Unix/Linux administration, familiarity with DevOps practices, and skills in log analysis and monitoring tools are also crucial for effective troubleshooting and system optimization. Problem-Solving: Demonstrated ability to diagnose and resolve complex technical issues with a strong analytical and methodical approach. Communication: Exceptional verbal and written communication skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders. Customer Focus: Proven experience in managing high-impact customer interactions and ensuring a positive customer experience. Collaboration: Ability to work effectively in a team environment, collaborating with engineering, product, and customer-facing teams. Education: Bachelor s degree in Computer Science, Engineering, or a related field. Advanced degree or relevant certifications are highly desirable. Preferred Skills: Experience with additional big data tools and technologies such as Hadoop, Kafka, or NoSQL databases. Familiarity with automation tools and CI/CD pipelines. Understanding of data governance and compliance requirements. Innovative Environment: Work with cutting-edge technology in a fast-paced, innovative company. Career Growth: Opportunities for professional development and career advancement. Team Culture: Collaborate with a talented and motivated team dedicated to excellence and continuous improvement. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to pr...

Job Overview Role: SEO Architect (Web Analytics & SEO Optimization Specialist) Job Title: Staff Technical Systems Analyst About Juniper Networks At Juniper, we believe the network is the single greatest vehicle for knowledge, understanding, and human advancement. To achieve real outcomes, we know that experience is the most important requirement for networking teams and the people they serve. Delivering an experience-first, AI-Native Network pivots on the creativity and commitment of our people. It requires a consistent and committed practice, something we call the Juniper Way. Job Summary We are looking for an experienced and innovative SEO Architect to join our growing Future of X, Digital Experience team. This role will primarily focus on optimizing website performance, implementing SEO strategies, and leveraging web analytics tools to drive data-backed decisions for enhanced visibility, engagement, and conversion. The ideal candidate will combine technical SEO expertise with an in-depth understanding of web analytics to improve organic search performance, user experience, leverage AI technology, and overall site functionality. Key Responsibilities SEO Strategy Development and Implementation Lead the development and execution of comprehensive SEO strategies for websites and digital platforms. Perform thorough keyword research, competitive analysis, and industry trend monitoring to inform SEO planning. Design and implement on-page and off-page optimization strategies, including metadata, content, internal linking, and backlink development. Web Analytics Integration and Optimization Manage and optimize the implementation of web analytics tools (e.g., Google Analytics, Adobe Analytics, Google Search Console). Leverage web analytics data to assess SEO performance, identify opportunities, and guide optimization strategies. Create and maintain SEO dashboards and reports for stakeholders, delivering actionable insights based on data trends. Technical SEO & Website Audits Conduct comprehensive technical audits to identify issues affecting search rankings, such as site speed, mobile optimization, crawl errors, and indexing problems. Collaborate with development teams to implement technical SEO improvements and troubleshoot issues related to structured data, schema markup, redirects, and URL optimization. Recommend and execute solutions to enhance site architecture, navigation, and URL structure for better crawlability and user experience. Content Optimization and Performance Work closely with content teams to ensure SEO best practices are followed for content creation, optimization, and syndication. Monitor content performance and implement adjustments to improve rankings, CTR, and conversion rates. Advise on content strategy, ensuring alignment with SEO goals and audience intent. SEO Reporting & KPIs Define and track key SEO metrics and KPIs such as organic traffic, conversion rates, bounce rates, SERP rankings, and backlink profile health. Provide regular performance reports to stakeholders, highlighting trends, insights, and action plans. Work with cross-functional teams to set clear performance targets and SEO goals. Cross-Functional Collaboration Partner with marketing, product, UX/UI, and engineering teams to ensure SEO alignment in all digital initiatives. Advise on SEO-related decisions for site redesigns, A/B testing, and new feature launches. Stay updated on industry trends and best practices to share insights with internal teams and improve SEO strategies. Qualifications Education Bachelor's degree in Computer Science, or a related field (or equivalent experience). Experience 10+ years of hands-on experience in SEO, including a focus on web analytics and technical SEO. Proven experience in leveraging web analytics tools (Google Analytics, Adobe Analytics) to inform decision-making and drive SEO performance. Strong understanding of SEO tools, ranking algorithms, and industry trends. Experience with CMS platforms (e.g., WordPress, Salesforce CMS) and HTML/CSS for basic site edits. Familiarity with AI technology, RAG-based solutions, and understanding of data science and ML techniques. Skills and Expertise Expertise in SEO best practices, including on-page, off-page, technical SEO, and content optimization. In-depth knowledge of web analytics platforms (Google Analytics, Google Tag Manager). Experience conducting and analyzing website audits and making actionable recommendations for SEO improvements. Strong analytical and problem-solving skills, with the ability to interpret complex data and translate it into actionable insights. Familiarity with web performance tools (e.g., PageSpeed Insights, Lighthouse) and conversion rate optimization (CRO) tools. Excellent communication skills, capable of presenting data-driven insights to both technical and non-technical teams. Preferred Qualifications Advanced certifications in SEO, Google Analytics, or other relevant digital marketing fields. Experience with advanced technical SEO strategies, including JavaScript SEO, server-side rendering, and international SEO. Experience in managing large-scale SEO projects with cross-functional teams. Familiarity with marketing automation and CRM platforms. Qualification : Bachelor's degree in Computer Science, or a related field (or equivalent experience).

HPE Global IT is a dynamic organization enabling digital transformation through cutting-edge technology solutions. As an AI Governance Lead, you will play a pivotal role in defining and implementing governance frameworks to ensure the responsible and ethical use of AI technologies within HPE. Key Responsibilities Translate high-level business objectives into AI governance requirements and frameworks. Define and prioritize AI governance program goals based on business needs and compliance requirements. Develop, implement, and support AI governance strategies that align with HPE s overall AI vision. Ensure AI projects comply with governance and ethical standards through design reviews and assessments. Analyze business requirements for AI initiatives to design robust governance frameworks. Monitor AI risks, generate key performance metrics, and regularly report on governance effectiveness. Collaborate with Privacy, Cybersecurity, and AI Ethics teams to ensure regulatory compliance. Manage AI governance tools and systems for compliance monitoring and performance analysis. Lead and mentor a technical team of full-time employees and contractors. Establish relationships with vendors and negotiate cost-efficient contracts for AI tools and services. Represent AI governance initiatives in customer-facing discussions and engagements. Willingness to travel domestically or internationally as needed. Required Qualifications Education & Experience: Bachelor s degree with a minimum of 12 years of experience, or Master s degree with a minimum of 10 years of experience in AI governance, IT strategy, or a related field. Skills & Competencies: Leadership & Team Management Strong ability to lead, mentor, and manage technical teams. AI & Data Governance Expertise Deep understanding of AI technologies, machine learning models, and data privacy regulations. Program Management Ability to oversee complex AI governance programs with both technical and business considerations. Problem-Solving & Analytics Strong analytical skills to assess governance risks and implement effective solutions. Communication & Stakeholder Management Ability to explain AI governance concepts to non-technical audiences and collaborate across functions. Preferred Qualifications Experience in Cisco Security Technologies and AI security compliance frameworks. Strong knowledge of privacy regulations, cybersecurity policies, and AI ethical principles. Familiarity with AI risk assessment models and compliance auditing tools. Why Join HPE? Health & Wellbeing We offer a comprehensive benefits package to support your physical, financial, and emotional well-being. Personal & Professional Development HPE invests in your career growth through specialized training programs and internal mobility opportunities. Diversity, Inclusion & Belonging We embrace diversity and create an inclusive work environment where everyone feels valued and empowered. At HPE, we make bold moves together. Join us in shaping the future of AI governance and enterprise innovation! Qualification : Bachelors degree with a minimum of 12 years of experience, or Masters degree with a minimum of 10 years of experience in AI governance, IT strategy, or a related field.