Feature Usage Jobs in Bengaluru

Lead Machine Learning Engineer Location: Bangalore | Employment Type: Full-time About the Role We are seeking a talented and driven Lead Machine Learning Engineer to join Avaamo s Product Engineering team. In this role, you will have the opportunity to shape and enhance the core features of our search technology stack, focusing on areas like search ranking models, query understanding, and natural language question answering. What You ll Do Innovate and expand the capabilities of our search stack, including ranking models, query parsing, and NLP-driven question answering. Gain a deep understanding of search usage patterns and user needs, identifying areas for improvement and growth. Design, prototype, and iterate on cutting-edge ML/NLP/Information Retrieval solutions to enhance our search functionality. Develop and optimize an experimentation framework to evaluate and track improvements to the search stack. Write clean, efficient, and maintainable code that is easy to test and scale. Mentor junior engineers, fostering a collaborative learning environment and sharing your expertise. What You Bring (Qualifications) A BS in Computer Science or a related field. 5+ years of hands-on experience in machine learning, NLP, or related fields. Strong analytical and data-driven mindset, with the ability to extract insights and build effective solutions. Experience in recommendation systems, natural language processing, LLMs, applied machine learning, or large-scale search/ranking systems. Key Skills & Qualities Collaborative, customer-focused, and team-oriented, with a willingness to contribute across multiple areas of the product. Proactive, positive, and self-driven, with the ability to take ownership of both small tasks and large features. Proven experience in designing and building complex search/ranking/recommendation systems. Strong proficiency in Python programming. About Avaamo Avaamo is a deep-learning software company that focuses on creating advanced conversational interfaces to solve high-impact problems in the enterprise space. We are at the forefront of AI technologies, working on neural networks, speech synthesis, and deep learning to transform how enterprises engage with conversational computing. Qualification : BS in Computer Science or a 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: Specialist Software Engineering Location: Bengaluru Type: Full-Time Level: Senior Engineer About BetaNXT BetaNXT is redefining connected wealth management infrastructure with next-gen, real-time data solutions that streamline operations, enhance advisor productivity, and elevate the investor experience. By combining the strength of our trusted platforms Beta, Maxit, and Mediant we deliver flexible, scalable solutions that anticipate the evolving needs of the wealth management industry. We help firms transform legacy systems into strategic assets, enabling enterprise scale, cost efficiency, and accelerated growth. About the Role We are looking for a Specialist Software Engineering to join our Product Engineering team. This is an exciting opportunity for an experienced and technically driven engineer passionate about enterprise integration, legacy modernization, and building mission-critical systems. You ll play a key role in developing complex software solutions, collaborating with architects and cross-functional teams, and helping shape the next generation of our platform. Key Responsibilities Lead the design, development, and enhancement of complex software components and systems. Collaborate with Solution Architects and other stakeholders to define scalable, efficient solutions. Develop and maintain both new features and legacy systems in alignment with business and technical requirements. Conduct unit and integration testing to ensure software quality and compliance. Perform code reviews, provide feedback, and mentor junior engineers. Contribute to architectural discussions, risk assessments, and solution planning. Participate in Agile planning, providing effort estimates and technical inputs. Maintain clear, detailed technical documentation to support future maintenance and development. Provide regular progress updates, and support production systems and on-call rotations when needed. Drive knowledge sharing and help build technical capability across the team. Qualifications & Experience Must-Have 7+ years of experience in Enterprise Application Integration and Mainframe Technologies. Deep expertise in COBOL, JCL, CICS, DB2, VSAM, including CICS Web Services and Transaction Server 3.1. Experience with integration technologies: IBM Integration Bus (IIB 10) IBM App Connect Enterprise (ACE 12) IBM MQ Series, IBM DataPower Proficiency with mainframe tools: TSO, File-Aid, Syncsort, Platinum, Abend-Aid, Mainview Familiarity with JCL utilities and version control systems such as ChangeMan. Understanding of performance tuning metrics: CPU usage, response time, network latency, etc. Proven experience working in Agile/SCRUM teams. Strong analytical thinking, collaboration, and communication skills. Good to Have Exposure to modern DevOps practices, GIT, or CI/CD pipelines. Master s degree or relevant professional certifications. Work on high-impact platforms powering the wealth management industry. Be part of a modernization journey transforming legacy infrastructure into future-ready systems. Collaborate with cross-functional, global teams in a fast-paced and inclusive environment. Grow within a company that values technical excellence, innovation, and continuous learning. Qualification : Masters degree or relevant professional certifications

Product Manager Data Warehouse & Business Intelligence Location: Bangalore Company: Mahindra First Choice About Mahindra First Choice Mahindra First Choice is a pioneer in India s multi-brand used car segment. With a strong focus on innovation, data-driven decision-making, and cutting-edge technology, we are transforming the automotive ecosystem and delivering seamless customer experiences. Our commitment to excellence fuels our drive to create scalable, impactful solutions across the value chain. Role Overview We are looking for a strategic and technically strong Product Manager to lead our Data Warehouse and Business Intelligence (BI) initiatives. Based in Bangalore, this role will own the vision, development, and optimization of enterprise-wide data products. You will play a critical role in enabling data-led decisions, working closely with engineering, analytics, and business teams to drive measurable outcomes. Key Responsibilities 1. Product Strategy & Roadmap Define the vision, strategy, and long-term roadmap for Data Warehouse and BI products. Align product goals with overall business strategy through collaboration with senior leadership. Stay abreast of emerging technologies and industry trends to drive innovation in data architecture and analytics. 2. Development & Execution Partner with engineering, data science, and analytics teams to build scalable, high-performance data platforms. Prioritize product features and enhancements based on impact, feasibility, and business value. Lead cross-functional teams to ensure timely and efficient delivery of data solutions. 3. Business Intelligence & Analytics Oversee the development of interactive BI dashboards, reports, and self-service tools to empower business users. Collaborate with business stakeholders to identify critical metrics and create meaningful data visualizations. Champion data quality, consistency, governance, and accessibility across all platforms. 4. Stakeholder Management Serve as the single point of contact for data needs across Sales, Marketing, Operations, Finance, and other departments. Communicate roadmaps, progress updates, and outcomes clearly and effectively to stakeholders at all levels. Gather continuous feedback to refine products and enhance user experience. 5. Performance Monitoring & Optimization Define and track KPIs to assess product adoption, usage, and business impact. Analyze system performance and user engagement to identify areas for improvement. Drive initiatives to increase data platform efficiency and reliability. Qualifications & Skills Required Bachelor s degree in Computer Science, Engineering, Business, or a related field (Master s preferred). 7+ years of experience in product management, specifically in data warehousing, business intelligence, or analytics. Deep understanding of data architecture, ETL processes, and data modeling. Hands-on experience with BI tools like Tableau, Power BI, or Looker. Strong SQL skills and familiarity with cloud platforms (AWS, Azure, GCP). Proven track record of managing complex, cross-functional data projects in fast-paced environments. Ability to translate business needs into scalable, data-driven solutions. Preferred Experience in automotive, mobility, or e-commerce domains. Familiarity with machine learning concepts and advanced analytics techniques. Soft Skills Strong communication, presentation, and stakeholder engagement skills. Analytical mindset with a focus on delivering business value through data. Effective leadership and cross-functional collaboration. High attention to detail and ability to manage multiple priorities. At Mahindra First Choice, you ll join a fast-growing, innovation-led organization at the forefront of transforming the used car market in India. This is a unique opportunity to shape our data landscape and make a real impact on business outcomes. If you're passionate about unlocking the power of data, we d love to meet you. Qualification : Bachelors degree in Computer Science, Engineering, Business, or a related field (Masters preferred)

Lead - Salesforce Development Department: Software Engineering Job Type: Full Time Location: Banglore JOB DESCRIPTION: We are looking for a Sr. Software developer/Lead to join our Salesforce team. The team is responsible for the end to end product development including the APIs and UI for the features, security and performance aspects, As a developer you will collaborate with product managers, quality engineers, and other top notch software engineers to design and implement features for our Qualityze Suite of products on force.com platform. RESPONSIBILITIES: Lead feature and architecture design with a major focus on force.com platform. Hands on design and development of custom solutions on the force.com platform including significant work in Apex, Visual Force and application integration patterns. Have a passion for quality and writing clean,solid, readable code thatscales and performs well. Adopt, embrace, and promote agile and test driven practices with your peers. Value team excellence over individual productivity. Designs and implements business technology solutions focused on cloud based business applications, specifically force.com. Release and Environment Management including sandbox usage planning, metadata and data migration, environment comparisons and version control. Participate and promote architectural initiatives, balancing long term velocity with short term customer needs. REQUIRED SKILLS AND EXPERIENCE: Good experience building large scale, data driven web applications. Hands on experience on Java. In depth Knowledge of databases and experience with SQL and relational schema design

Job Title: Product Analyst Location: Bengaluru, India Company: LimeChat About LimeChat LimeChat is transforming how businesses engage customers through human-level AI on WhatsApp. As part of Y Combinator's W21 cohort, we support over 300 top brands like HUL, ITC, Wow Skin Science, and Piramal Health. Our Gen AI agents are driving millions of interactions daily, now expanding into high-stakes sectors like BFSI, Healthcare, and Retail. At LimeChat, we operate like an elite sports team driven, mission-focused, and constantly raising the bar. If you re passionate about data and want to make a measurable impact in a high-growth AI startup, this is your moment. About the Role We're looking for a Product Analyst who will turn complex product data into clear, actionable insights. This role offers end-to-end ownership from designing metrics and running experiments to influencing roadmap decisions. You'll work closely with PMs, engineers, and designers to guide product development and help answer tough questions through data. If you're experienced in analytics, crave ownership, and thrive in fast-paced environments, we want to hear from you. Responsibilities Product & User Analytics Map user journeys to uncover friction in activation, engagement, and retention. Run deep-dive analyses: retention curves, funnel breakdowns, cohort analysis. Design, execute, and analyze A/B tests to validate hypotheses. Create lightweight forecasting models for revenue and payback predictions. Collaborate with PMs to define and track North-Star and supporting metrics. Self-Serve Insights Build and manage Metabase / Looker dashboards for internal teams. Automate reporting for product reviews and roadmap discussions. Maintain clear documentation of metrics, definitions, and data models. Cross-Functional Collaboration Share insights with Growth and CS teams to help drive upsells and prevent churn. Partner with Engineering on event tracking and data QA. Support executive reporting by prepping investor decks and board metrics. Must-Haves 1 2 years in a product analytics, growth analytics, or product ops role. Strong hands-on SQL skills and experience with a BI tool (e.g., Metabase, Looker, Power BI). Comfortable turning ambiguous product questions into clear metrics and explanations. Solid understanding of core metrics like DAU/WAU/MAU, retention, LTV, CAC, payback. Proactive, detail-oriented, and highly outcome-driven. Nice-to-Haves Experience with SaaS or B2B analytics, especially in chatbots or CX automation. Exposure to Python or R for deep-dive analysis or ML experimentation. Understanding of financial metrics and product-led revenue dashboards. Perks & Benefits Unlimited PTO & sick leave Free lunch and snacks Subsidized fitness membership Pet-friendly office Annual team retreat You won t just be running dashboards you ll be shaping product decisions, owning metrics end-to-end, and influencing the roadmap of an AI company at the cutting edge of conversational commerce. This is a career-defining opportunity to grow fast, work with a high-caliber team, and make measurable impact at scale.

Senior Product Manager Location: Bangalore, Karnataka | Department: Product & Design About the Team At Meesho, Product Management mirrors our rocketship growth. By obsessively understanding customer behavior, we ve carved out a unique e-commerce niche in Tier 2/3/4 towns across Bharat. Our remarkable growth is a testament to how we think about product for our customers those who have barely shopped online but now can thanks to Meesho. Fun Fact: Nearly 7% of India s households shop with us! We operate with a user-first mindset and prioritize execution with rigor to deliver impactful solutions. We focus on problem discovery & delivery, aiming for high impact, not just building features. We believe in having fun while working hard. Whether you're into movies or sports, we have a diverse and energetic team. If a game of badminton after work sounds exciting, this is the place for you! About the Role We are looking for a passionate Senior Product Manager who thrives in a fast-paced start-up environment and enjoys solving high-impact problems. This cross-functional leadership role will have you collaborating with teams across software engineering, UX design, category management, marketing, operations, and finance to bring new products to life. What You Will Do Market & Customer Understanding: Gain deep insights into the e-commerce market and customer/seller needs through landscape analysis, customer interviews, user research, competition analysis, and other techniques. Problem Identification & Prioritization: Use structured approaches to identify and break down problems. Prioritize what needs immediate attention vs. what can be solved later. Solution Discovery: Lead brainstorming sessions to generate the best technology-driven solutions. Collaborate with design, engineering, and business teams to identify and experiment with new ideas using MVPs, prototypes, etc. Product Delivery: Define detailed product requirements and collaborate with cross-functional teams (design, engineering, business, analytics) to bring the product to life. Ensure high product quality through user acceptance testing and dogfooding. Go-to-Market Planning: Create a comprehensive go-to-market plan in partnership with business and marketing stakeholders to maximize product success. Adoption & Metrics: Define and track product metrics. Analyze usage patterns and create action plans to improve product performance. Roadmap Creation: Develop a product roadmap with a 3-month forward-looking view, solving key customer and business problems. Team Leadership: Manage a small team of product analysts and associate product managers, guiding them toward product execution. What You Will Need 7+ years of overall experience, with at least 4+ years in product management in a tech-led company (consumer internet experience preferred) Exceptional problem-solving skills based on first principles thinking Solid understanding of technology, with familiarity in product management processes like A/B experimentation, writing product requirement documents, managing product backlogs, and creating roadmaps About Us Welcome to Meesho, an e-commerce platform transforming businesses across India. We are not just a platform; we re your partner in turning dreams into realities. Our mission is to democratize internet commerce for everyone. Curious about life at Meesho? Our employees are some of the happiest, which has earned us top ratings as an e-commerce workplace on Glassdoor! Our Mission At Meesho, we aim to democratize internet commerce for everyone. We started with the vision to serve the next billion Indian consumers and enable 100 million small businesses to succeed online. We provide sellers with unique benefits such as zero commission and the lowest shipping costs. Currently, more than 1.75 million sellers are growing their businesses through Meesho s extensive customer base and advanced tech infrastructure. Our model caters to underserved customers, providing affordable and relatable merchandise. Through continuous innovation, we are proud to be India s first horizontal e-commerce company. Culture & Total Rewards At Meesho, we focus on cultivating a dynamic, high-performing workplace. Our people-centric culture emphasizes hiring exceptional talent and fostering growth. Our culture is driven by our 11 guiding principles, or "Mantras," which influence everything from recognition to career development. What We Offer: Market-leading compensation a combination of cash and equity-based rewards tailored to the role and individual experience Comprehensive wellness support through the MeeCare Program, focusing on physical, mental, financial, and social well-being Generous medical insurance benefits for employees and their families, including wellness initiatives like telehealth services and gym discounts Work-life balance support with generous leave policies, parental support benefits, retirement plans, and learning assistance Employee recognition personalized gifts, performance-based rewards, and fun workplace activities Additional benefits like salary advance support, relocation assistance, and flexible benefits plans to further enrich your experience

Senior Product Manager AI Products | SaaS | CLM | Bangalore Location: Bangalore, India Department: Product Management Reports To: Manager, Product Management Experience Required: 5+ years in Product Management (B2B SaaS, AI, or Document Automation) Industry: SaaS | AI/ML | Contract Lifecycle Management (CLM) About Conga At Conga, we help global businesses simplify complexity and drive revenue growth through powerful Revenue Lifecycle Management solutions. Our platform unifies critical business processes across configuration, execution, fulfillment, and renewal empowering teams with AI-driven insights to make smarter, faster decisions. The Conga Way shapes our culture it s how we hire, collaborate, and innovate. Developed with direct input from our employees, it ensures every voice is heard and every talent is nurtured. Role Overview Senior Product Manager (Discovery AI): We are looking for a Senior Product Manager to lead the development of Discovery AI, Conga s advanced metadata extraction and document analysis engine. You will play a key role in bringing AI-powered solutions to market, working cross-functionally to drive innovation and enhance the way enterprises manage contracts and data. Why This Role Matters: Discovery AI helps businesses unlock hidden insights from unstructured documents, improving compliance, reducing manual processing, and increasing operational efficiency. Your leadership will define how Conga delivers next-generation solutions in document intelligence, AI, and contract metadata extraction transforming the way customers interact with their most critical data. Key Responsibilities: AI-Driven Product Innovation: Define and lead the roadmap for metadata extraction and document intelligence solutions powered by AI/ML. Hands-On Product Execution: Deliver demos, manage implementation rollouts, and work closely with scrum teams to ship features on time and with impact. Customer-Centric Strategy: Gather and prioritize customer feedback to continuously refine Discovery AI features and address real-world use cases. Cross-Functional Leadership: Collaborate with engineering, data science, UX, services, and marketing teams to ensure aligned product delivery. Market & User Research: Conduct in-depth research to identify opportunities for new AI-powered capabilities and competitive differentiation. Analytics & Prioritization: Use data insights and usage metrics to shape roadmap decisions and measure product success. Internal Enablement: Create clear documentation, support training materials, and partner with customer success to handle escalations. Go-to-Market Collaboration: Work with marketing and sales teams to communicate product value and drive adoption. Qualifications: 5+ years of experience in Product Management, ideally in B2B SaaS, AI/ML, or document/data extraction platforms. Proven ability to manage full product lifecycle from concept to launch and iteration. Strong grasp of AI/ML fundamentals and how they apply to business workflows. Experience with Contract Lifecycle Management (CLM) or enterprise legal/document systems is a strong plus. Bachelor s degree in Engineering or related technical field (Master s or MBA is a plus). Strong communication and stakeholder management skills across both technical and business teams. Passionate about solving real-world customer problems using data and intelligent automation. What Will Set You Apart: Deep empathy for the customer journey and a strong desire to build products that deliver measurable impact. Proven leadership in Agile product development environments. Ability to clearly communicate complex technical concepts to non-technical audiences. Enthusiasm for AI-driven transformation and the future of intelligent business systems. Collaborative mindset with the ability to influence without authority across distributed teams. Qualification : Bachelors degree in Engineering or related technical field (Masters or MBA is a plus).

Job Title: Software Development Engineer (SDE) Location: Bengaluru Company: LoadShare Networks About LoadShare Networks LoadShare is building India s largest intra-city logistics marketplace. Founded in 2017, we re a Series C startup backed by top-tier investors including Tiger Global, Matrix Partners, BII, Stellaris, BeeNext, and Filter Capital. Our technology-driven platform supports a wide range of intracity logistics services from Quick Commerce (Blinkit, Zepto, BBNow), Food Delivery (Swiggy, Zomato), and Hyperlocal (Apollo, Licious), to Grocery (Reliance, Spencers, ONDC), eCommerce (Flipkart, Amazon, Meesho, ShipRocket), and Bike Taxi (Uber, Ola). Scale: Over 500,000 last-mile orders delivered daily across 500+ towns via a fleet of 20,000+ riders. Technology: Our intelligent systems optimize fleet usage across categories by syncing with demand patterns. Our SaaS platform powers more than 1 million daily shipments across the supply chain. Role Overview We are looking for a Software Development Engineer (SDE) to join our team in Bengaluru. You will be responsible for independently developing new features, enhancing existing functionality, and solving complex engineering challenges at scale. This role involves end-to-end ownership of user stories, and close collaboration with product managers, designers, and other engineers. Key Responsibilities Own the full lifecycle of assigned features from design to deployment. Write clean, scalable, and high-performance code. Innovate on complex problems with efficient, creative solutions. Contribute to the design and architecture of LoadShare s backend systems. Collaborate with cross-functional teams to deliver high-impact features. Act as a go-to expert in key areas of the codebase. Identify and proactively reduce technical debt. Mentor junior engineers and participate in code reviews. Key Result Areas Timely Delivery: As per plans defined by the POD lead. Engineering Velocity: Consistent feature throughput. Quality of Output: Minimal defects in QA and production Optimized performance in production environments Code Quality: Follows architecture and best coding practices. Requirements B.E./B.Tech in Computer Science or a related field. 2 4 years of software development experience. Strong programming skills in Java, with a focus on multi-threading and performance. Solid foundation in data structures, algorithms, and concurrency. Experience with databases: PL/SQL, RDBMS, and familiarity with Cassandra, Redis, Elasticsearch. Hands-on experience with AWS for deploying and maintaining services. Experience with microservices architecture and scalable systems. Ability to debug, optimize, and resolve production issues efficiently. Strong collaboration and communication skills. Qualification : B.E./B.Tech in Computer Science or a related field.

Job Title: Product Manager Location: Bangalore, India Mode of Work: Work from Office Industry: Information Technology Employment Type: Full-time Experience: 6-15 years of product management experience, preferably in the utilities sector Seniority Level: Senior Level Qualification: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field Job Function: Engineering Job Summary: We are looking for a highly skilled Product Manager to join our team. The Product Manager (PM) will play a critical role in driving the development, implementation, and optimization of applications. You will act as the bridge between technical teams and business stakeholders to ensure the product meets business goals, user needs, and the desired product-market fit. Key Responsibilities: Define the Product Strategy: Define and execute the product vision and strategy for applications in the utilities sector. Ensure product strategy aligns with business objectives and customer needs. Foster Strong Cross-Functional Collaboration: Work closely with business stakeholders, developers, and UX/UI designers to gather requirements and prioritize features. Collaborate with all teams to ensure seamless product development and timely delivery. Drive Product Innovation: Conduct market research and competitive analysis to identify trends, customer needs, and opportunities for innovation. Stay updated with emerging technologies and leverage them to enhance the product. Deliver High-Quality Products on Time: Create and maintain a product roadmap, ensuring alignment with business objectives and timely delivery of features. Ensure end-to-end release management and quality assurance before product launches. Enhance User Experience and Drive Adoption: Advocate for end-users by gathering feedback, conducting usability tests, and improving application features based on insights. Provide user training, support, and documentation to ensure effective usage of applications. Performance Metrics and Monitoring: Define and analyze KPIs to measure the success and adoption of applications. Continuously monitor application performance and user feedback to make informed decisions. Platform and Application Development Support: Assist in the design, development, and deployment of applications. Collaborate with technical teams to ensure scalability, security, and integration with existing systems. Integration & Automation: Assess current systems and workflows to identify opportunities for automation and integration to improve processes and product functionality. Documentation and Reporting: Create and maintain comprehensive documentation, including user guides, technical specifications, and release notes. Provide regular reports and updates to stakeholders regarding product progress, performance, and key metrics. Skills and Requirements: Functional Skills: Market Knowledge: Deep understanding of the utilities industry, including challenges, regulations, and emerging technologies. Technical Skills: Familiarity with low-code/no-code platforms (e.g., Mendix, OutSystems, Microsoft PowerApps) and integration with existing systems. Analytical Skills: Strong ability to interpret data, drive decision-making, and assess product performance. Communication: Excellent verbal and written communication skills for interacting with both technical and non-technical stakeholders. Agility: Experience with Agile methodologies, focusing on iterative development and delivery. Problem-Solving: Strong analytical and problem-solving abilities to troubleshoot issues and improve applications. Detail-Oriented: Ability to manage multiple projects while maintaining attention to detail in documentation and application functionality. Technical/Functional Competencies: Product Strategy: Define and execute the product vision and strategy for applications that meet customer needs in the utilities sector. Stakeholder Collaboration: Work with stakeholders to gather requirements and prioritize features. Platform Management: Evaluate and select platforms and technologies that meet business goals and ensure scalability and security. User Experience: Gather feedback, conduct usability tests, and iterate on features to improve overall user satisfaction. Roadmap Development: Create and manage a product roadmap to meet business objectives. Market Analysis: Conduct competitive analysis to understand trends and customer needs. Performance Monitoring: Analyze KPIs to measure product success and adoption. Desired Skills: Product Development: Assist with design, development, and deployment of applications to meet business needs. Cross-Functional Collaboration: Ensure smooth integration and functionality by collaborating with developers, designers, and stakeholders. Process Improvement: Identify opportunities to improve processes related to product development and management. User Engagement: Work closely with stakeholders to ensure the product meets user needs and expectations. Prototyping: Develop prototypes and MVPs (Minimum Viable Products) for early-stage testing and user feedback. Network with Industry Peers: Maintain a network of peers within the utilities sector to stay updated on trends and best practices. Be part of an innovative company focused on providing impactful solutions in the utilities sector. Work with cutting-edge technology to develop user-friendly applications. Career growth and opportunities for advancement in a dynamic work environment. Competitive compensation package. If you're passionate about leading innovative product development in the utilities sector, we want to hear from you! Apply now and help shape the future of application management. Qualification : Bachelor's or Master's degree in Computer Science, Information Technology, or a related field

Job Title: Data Scientist Location: Bengaluru Experience: 4+ Years About Linarc: Linarc is revolutionizing the construction industry. As the emerging leader in construction technology, we are redefining how projects are planned, executed, and delivered. Built for general contractors, construction managers, and trade partners, Linarc offers a next-generation platform that delivers unmatched collaboration, automation, and real-time intelligence to construction projects. Our mission is to eliminate inefficiencies, streamline workflows, and drive profitability, empowering teams to deliver projects faster, smarter, and with greater control. Join us in shaping the future of construction tech. If you thrive in a dynamic, fast-growing environment and want to make a significant impact, Linarc is the place for you. This is a full-time position based in Bengaluru. Roles and Responsibilities: Data Analysis & Modeling: Develop and implement machine learning models to address complex business problems. Build predictive models and algorithms to forecast customer behavior, product usage, and business outcomes. Conduct statistical analysis and hypothesis testing to uncover key insights and trends. Data Engineering & Processing: Clean, preprocess, and transform large-scale datasets from multiple sources. Design and optimize data pipelines for both real-time and batch processing. Business Insights & Reporting: Collaborate with business teams to define key performance indicators (KPIs). Develop dashboards and reports to effectively communicate findings and business performance. Present actionable insights and recommendations to stakeholders and leadership teams. Product Improvement: Partner with product managers to integrate data-driven insights into product features. Monitor model performance and continuously improve accuracy and scalability. Run A/B tests to evaluate the impact of product changes and optimize user experience. Research & Development: Stay updated with the latest developments in machine learning, artificial intelligence, and data science. Explore and implement new techniques and tools to drive innovative solutions and improve outcomes. Qualifications: Minimum Experience: 3 years of professional experience in Data Analytics, Data Science, AI, or Machine Learning. Technical Expertise: Deep analytical expertise in applying statistical solutions to business problems. Experience with exploratory data analysis of large datasets using tools like SQL, Hive, Spark, or similar. Proficiency in machine learning and deep learning tools such as Scikit-learn, TensorFlow, PyTorch, and familiarity with techniques like Neural Networks, Gradient Boosting, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, Clustering, etc. Experience working with visualization tools such as Tableau and Power BI. Business & Innovation: Demonstrated ability to innovate solutions and solve business problems using data science techniques. Desirable Additional Experience: 4+ years of experience in data science or machine learning in a product-focused environment. Experience working with relational or document databases. Proficiency in C, Python, PyTorch, Java, JavaScript, Node.js, React.js, or Vue.js. Strong knowledge of hypothesis testing and regression analysis. Experience in a SaaS product environment. Educational Qualifications: Bachelor s/Master s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.

Job Title: Technical Account Manager Location: Bangalore (On-site; full-time) About Locus: At Locus, we are redefining logistics decision-making with deep-tech solutions that drive efficiency, consistency, and transparency across industries like retail and FMCG/CPG. Founded in 2015 by Nishith Rastogi and Geet Garg, Locus has evolved from a women s safety geo-tracking app into a globally recognized logistics optimization platform. Our technology has empowered enterprises such as Unilever and Nestl to execute over a billion deliveries across 30+ countries. Guided by our commitment to innovation and sustainable growth, we transform complex supply chains into strategic growth enablers. Join us at Locus and be part of a team shaping the future of global logistics. Job Overview: About the role Locus is seeking a Technical Account Manager who will be responsible for working with and supporting the customer to derive Operational Value and Success from the Locus solutions. Responsibilities will include primary responsibility, post initial Go Live, for the Day to Day Functional, Operational and Usability enablement for Customers. The individual will work as part of the Customer Success team to deliver logistics, solution-oriented services to Fortune 1000 clients. Based upon experience, specific responsibilities may include Key Responsibilities: Act as the primary technical advisor for assigned clients, providing guidance on best practices and proactive support to drive success with Locus s solutions. Collaborate with clients to understand their technical and business requirements, ensuring our solution aligns with their goals. Manage and troubleshoot complex technical issues, providing resolution and guidance to prevent recurrence. Lead product onboarding, configuration, and integration efforts, ensuring smooth adoption and usage. Conduct workshops/trainings to help clients increase adoption. Ensure onboarding, adoption and expansion of the solution for customers during operations. Partner closely with product and engineering teams to advocate for customer needs and participate in the development of new features or solutions based on customer feedback. Conduct regular account reviews and status meetings with customers, offering insights into product usage and providing optimization recommendations. Create and maintain documentation, FAQs, and other technical resources to support self-service and client education. Work closely with sales and customer success teams to support renewals, upsells, and cross-sells by demonstrating the value and benefits of Locus s solutions. Qualifications: 5-7 years consulting experience in Supply Chain, Logistics and/or Transportation Management solutions required and experience in systems applications consulting, either internally or via an IT organization or externally with a consulting firm or software provider. Hands on experience in configuring, testing and implementing Supply Chain, Logistics and/or Transportation Management solutions required. Proven ability to facilitate knowledge transfer and translate complex technical issues into compelling business benefits. Strong customer facing skills, ability to influence and motivate internal/externals teams and vendor partners. Exceptional client management skills and be able to work with customers to execute an implementation plan that works towards a rapid, successful Go-live. Experience in configuring and delivering software demonstrations are mandatory. Deep understanding of Supply Chain, Logistics and/or Transportation Management related processes. Join Locus and become part of a visionary team that is redefining logistics through innovation and smart distribution. We provide competitive compensation, comprehensive benefits, and a collaborative environment where your expertise will drive both your growth and that of the organization. Locus is an equal opportunity employer dedicated to creating a diverse and inclusive workplace.

Senior/Customer Success Executive (Ads Management) About the Role: Senior/Customer Success Executive (Ads Management) As a Customer Success Executive (Ads Management), you will work towards enhancing the customer experience throughout their journey of our product usage. This will need you to deep dive into the customer business and the software and help the customers with various insights and the right moment and enhance their product usage experience at the same time work with the product team to define various features. Communicate effectively with both internal and external senior-level management to understand customer needs. This is a highly collaborative role, which requires excellent organization, clear communication and a passion for using data to drive successful partnerships. This role will be based out of Bengaluru, KA. Responsibilities Help our customers automate their digital ad activations using our Universal Ads Manager (across Social, Search, Video and Display) Leverage audience intelligence from our platform to help targeting precision in campaigns Leverage full funnel insights from our platform and help optimize campaigns Build lasting relationships with key customers and agency partners based on product advertising and service quality. Analysing and sharing reports to clients based on campaign performance. Requirements 3 6 years of experience in digital media planning and operations An understanding of campaign setup on popular platforms like Facebook, Google Ads and DV360 Strong data and analytical skills Experience in campaign management, analytics and ad serving technologies Experience in audience solutions like DMP/CDP We understand that not all applicants will have skills that match the exact job description. We value diverse experiences in the relevant industry and encourage everyone who meets the required qualifications to apply. If you lack the desired experience, but do have theknowledge and confidence to leave a mark, go ahead and apply. Experience 3 6 years of Relevant Experience Additional Notes At Shopalyst, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

Senior Memory Design Engineer Company Arm Location Noida, India Job Description This opening is for a Senior Memory Design Engineer in our PHYSICAL IP MEMORY group in Noida. We work on innovative memory architectures in leading-edge technology nodes to enable the best Arm Systems across all markets. As a memory design professional, this position is a rare opportunity to work with our successful circuits, characterization, and layout team, and gain a deep understanding of memory usage in SoCs based on Arm cores. You will discover a wide variety of circuit innovations while working on different types of memories in cutting-edge process technologies. Responsibilities In this role, you will be working in the following areas: Work on memory architecture development in the latest technologies. Transistor-level full-custom design and collaboration with the physical design team for layout realization. Develop new design features and perform circuit/layout optimizations to meet Performance, Power, and Area targets. Lead memory design verification and characterization activities. Ensure high-performance memory designs with the lowest possible power, as needed for Arm CPUs, GPUs, and SOCs. Required Skills and Experience 5-8 years of proven experience in memory design. Strong interest and command of basic electronics (Diodes, RC Circuits, CMOS, etc.). Solid understanding of digital electronics fundamentals (Flip-Flops, Latches, Decoders, Multiplexers). Understanding of setup and hold time concepts. In-depth knowledge of memory fundamentals, especially single-port SRAM: Circuit design (Bitcell, WL decoder, Sense Amp, Self-time, Assist, Low power features, DFT features). Good understanding of technology trade-offs in deep sub-micron technologies. Self-motivated, hardworking, and positive outlook. Strong organizational skills with attention to detail. Nice-to-Have Skills and Experience Understanding of advanced process technology nodes and memory product layout implementation. Experience with shell scripting, machine learning (ML), and automation. Knowledge of statistical simulations (e.g., Monte Carlo). What Arm Offers Arm is committed to global talent acquisition and offers an attractive relocation package. With offices worldwide, Arm is a diverse organization of dedicated, creative, and hardworking engineers. By fostering a dynamic, inclusive, and meritocratic workplace where everyone can grow and succeed, we encourage our people to make exceptional contributions to Arm's success in the global marketplace. Accommodations at Arm If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email [email protected]. By sending the requested information, you consent to its use by Arm to arrange appropriate accommodations. All accommodation requests will be treated with confidentiality, and information will only be disclosed as necessary to provide the accommodation. Examples of support include breaks between interviews, having documents read aloud, or office accessibility. Hybrid Working at Arm Arm s hybrid working approach is designed to create an environment that supports both high performance and personal wellbeing. We believe in bringing people together face-to-face to enable faster work while recognizing the value of flexibility. Hybrid working patterns depend on team and role requirements, which will be discussed upon application. Some flexibility might be limited by legal, regulatory, tax, or other considerations. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to fostering an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Overview: As a Customer Education Specialist, you will be a key member of the Customer Success and Support team. In this role, you will be responsible for ensuring that our customers experience a seamless transition and derive maximum value from DevRev. You will design, implement, and lead customer education and enablement programs, deliver training, and administer certification/reward programs. Your objective is to drive scalable customer enablement, ensuring customer satisfaction and long-term loyalty. Key Responsibilities: Customer Onboarding: Develop and implement structured enablement programs for new customers, ensuring a smooth onboarding experience with DevRev. Collaborate with cross-functional teams to gather customer requirements and tailor enablement programs to meet specific needs. Training and Education: Design and deliver engaging training sessions, webinars, and workshops focused on product features, best practices, and industry-specific use cases. Create comprehensive training materials, documentation, and video tutorials to empower customers with self-service learning opportunities. Customer Engagement and Advocacy: Build strong, lasting relationships with customers, proactively engaging with them to understand their evolving needs and challenges. Identify opportunities for upselling or cross-selling additional products and services based on customer usage and feedback. Cultivate customer advocates by encouraging satisfied customers to contribute to case studies, testimonials, and referrals. Metrics and Reporting: Define, track, and report on key performance indicators (KPIs) related to customer enablement, satisfaction, and ROI. Analyze and provide actionable insights on customer engagement, training effectiveness, and support efficiency to continuously improve enablement programs. Qualifications: A Bachelor s degree in Business, Marketing, Computer Science, or a related field. 3-5 years of experience in customer education, enablement, or a related field, preferably within SaaS. Strong understanding of SaaS products, technology, and industry trends. Exceptional communication, presentation, and interpersonal skills, with the ability to engage with diverse customer audiences. Proven ability to collaborate effectively with cross-functional teams in a fast-paced, dynamic environment. Results-oriented with a focus on customer satisfaction, business growth, and scalable enablement. Willingness to travel domestically and internationally as required. Culture: At DevRev, our culture is built on a foundation of hunger, humility, honesty, and acting with heart. We are committed to helping build the world s most customer-centric companies by leveraging design, data engineering, and machine intelligence to empower engineers to connect with and better serve their customers. Qualification : A Bachelors degree in Business, Marketing, Computer Science, or a related field.

As a Manager of the Spark Technical Solutions team, you will lead & manage a team of Technical solution engineers and be responsible for driving deep dive technical solutions for any issues reported by Databricks customers. We expect the manager to resolve challenges with comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realise value and achieve their strategic objectives using our products. The impact you will have: As a manager and member of the leadership team, you will be directly responsible for the management of Technical solution engineers, team leads and operations personnel Responsible for directly monitoring, reporting, and driving improvements to team-level metrics and KPIs, acting as an escalation point with customers and internal teams, and optimising and developing support processes and tools Responsible for working across multiple cross functional teams that include Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers Regularly meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year Be a hands on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features Manage and drive best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers; contribute in the development of tools/automation initiatives Own Engineering JIRA tickets and proactively work to bring quicker resolutions to customer reported issues; participate in creation of knowledge base articles Participate in weekend and weekday on-call rotation and run escalations during databricks runtime outages, incident situations, ability to multitask and plan day 2 day activities and provide escalated level of support for critical customer operational issues, etc What we look for: Min 10-12 years of experience in designing, building, testing, and maintaining Python/Java/Scala/Spark based applications in a typical project delivery and consulting environments with 4+ years working as a Manager 5+ years of hands-on experience in developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Spark experience is mandatory Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale. Real time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis is preferred Working and hands-on experience with Data lakes and any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred Hands-on experience with AWS or Azure or GCP is preferred Experience in implementing CI/CD, Monitoring/alerting for Production Systems Technical lead in design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable Experience in leading and managing end-to-end projects and have reported and escalated to top levels Experience in managing and leading teams in an organisation involving multiple reporting lines Strong written and verbal communication skills; very good analytical, organisational, multi-tasking skills 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 proceed with an applicant on this basis alone.

As a Senior Manager of the Spark Technical Solutions team, you will lead & manage a team of Technical Solution Engineers (Spark) and be responsible for driving deep dive technical solutions for any issues reported by Databricks customers. We expect the manager to resolve challenges with comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realise value and achieve their strategic objectives using our products. The impact you will have: As a manager and member of the leadership team, you will be directly responsible for the management of Technical solution engineers, team leads and operations personnel Responsible for directly monitoring, reporting, and driving improvements to team-level metrics and KPIs, acting as an escalation point with customers and internal teams, and optimising and developing support processes and tools Responsible for working across multiple cross functional teams that include Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers Regularly meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year Be a hands on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features Manage and drive best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers; contribute in the development of tools/automation initiatives Own Engineering JIRA tickets and proactively work to bring quicker resolutions to customer reported issues; participate in creation of knowledge base articles Participate in weekend and weekday on-call rotation and run escalations during databricks runtime outages, incident situations, ability to multitask and plan day 2 day activities and provide escalated level of support for critical customer operational issues, etc What we look for: Min 10-12 years of experience in designing, building, testing, and maintaining Python/Java/Scala/Spark based applications in a typical project delivery and consulting environments with 4+ years working as a Manager 5+ years of hands-on experience in developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Big Data / Spark hands on-experience is mandatory Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale. Real time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis is preferred Working and hands-on experience with Data lakes and any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred Hands-on experience with AWS or Azure or GCP is preferred Experience in implementing CI/CD, Monitoring/alerting for Production Systems Technical lead in design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable Experience in leading and managing end-to-end projects and have reported and escalated to top levels Experience in managing and leading teams in an organisation involving multiple reporting lines 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 proceed with an applicant on this basis alone.

Mission As a Spark Backline Engineer you will help our customers to be successful with the Databricks Data Intelligence platform by resolving important technical customer escalations and the support team. You will be the technical bridge between support and engineering and the first line of defense for engineering. You will ensure that all issues are vetted by you before it reaches the engineering team. You will report to the Senior Backline Manager of the Backline Escalations Team. Outcomes Troubleshoot, resolve and suggest deep code-level analysis of Spark to address complex customer issues related to Spark core internals, Spark SQL, Structured Streaming and Databricks Delta. Provide best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers. Help the support team with detailed troubleshooting guides and runbooks. Contribute to automation and tooling programs to make daily troubleshooting efficient. Work with the Spark Engineering Team and spread awareness of upcoming features and releases. Identify Spark bugs and suggest possible workarounds. Demonstrate ownership and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests Participate in weekend and weekday on call rotation. Competencies Minimum 5 years' experience developing, testing, and sustaining Python or Java or Scala-based applications. Comfortable with compiling, building and navigating the Apache Spark source code. Comfortable with identifying and applying patches/bug fixes to the Apache Spark source code. Experience in Big Data/Hadoop/Spark/Kafka/Elasticsearch data pipelines. Hands-on experience with SQL-based database systems. Experience in JVM, GC, Thread dump-based troubleshooting is required. Experience with AWS or Azure related services. Bachelor's degree in Computer Science or a related field is required. 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 proceed with an applicant on this basis alone. Qualification : Bachelor's degree in Computer Science or a related field is required.

At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark , Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies, timely & accurate billing, cost optimization tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent set of platforms to enable all Databricks products to reach customers quickly, and sustainably. As the first Engineering Manager for Money at Databricks India, you will be key to building a base for one of Databricks most central engineering orgs. You will own critical components that form the backbone of our business, starting with Databricks resource admission control and usage governance infrastructure. Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialization motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers. The impact you will have: Hire great engineers to build an outstanding team and support their career development by providing clear and timely feedback Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence) Work with engineering and product leadership to build a long-term roadmap Coordinate execution and collaborate across teams to successfully deliver cross-cutting strategic projects What we look for: 10+ years of extensive experience with large-scale distributed systems alongside processes around testing, monitoring, SLAs etc 5+ years of engineering management experience, building, managing and mentoring high-performing software engineering teams Demonstrated success in collaborating with multiple cross-functional stakeholders to align system features and architecture, to deliver impactful platform projects Experience in developing and implementing proactive mechanisms for failure detection and incident prevention Excellent leadership, communication, and project management skills BS (or higher) in Computer Science, or a related field 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 proceed with an applicant on this basis alone. Qualification : BS (or higher) in Computer Science, or a related field.

ABOUT THE ROLE: As a Product Analyst you ll work closely with Tide s product teams to use data to drive product adoption. You ll work within the product analytics team to use data to inform our collective understanding of users, their problems and thus inform product strategy. This role will suit an individual that can operate with a high degree of independence and has hands-on experience of proactively working with the product community. You are an expert and constructive critique of digital products with strong views on data-driven techniques to improve adoption and engagement of various products & features. You will be working as a part of the product squad with a functional reporting into the Lead of Growth Product Analytics. Some of the things you ll be doing: Product Discovery hypothesis driven deep dives (existing product usage data) to identify user problems, quantify size of the problem and highlight solution(s) to impact revenue. Solution confidence product experiments are a means to an end. They help us produce data to build confidence on the product & features we plan to invest in. You would be the champion of product experimentation and would observe data, propose, design and analyse product experiments. Product and feature performance review new features solve user user problems and drive product usage and thus adoption. You would work with product teams to identify features that need to be shipped, scaled or killed. User research solving user problems helps us achieve commercial goals. You would identify opportunities, perform data deep dives (exploratory and hypothesis driven) to improve our collective understanding of user problems and assist working groups to focus on and prioritise high impact user problems. Goals to KPI translations you would work with product managers to break overall revenue goals into business KPIs, identify impact hypotheses and convert into measurable product KPIs. You would work with analytics engineers to enable KPI reporting through visually speaking dashboards. Experimentation & product growth you will operate with a high degree of user behaviour awareness (backed by consistent event data observation) and assist product managers by designing experiments to drive product adoption. You would use custom data analysis and statistical methods to analyse experiment results. Self Serve Product Analytics partner with data, engineering, data product and data science teams to deliver a world-class self-serve event data analytics platform for app and web products. Our experimentation stack includes platforms like LaunchDarkly for shipping variants, Segment for events, Heap for visualisation. You would be required to partner with data-science teams to build a stats-engine for relevant KPIs for each product enabling a seamless self-serve analytics for business and product teams. WHAT WE ARE LOOKING FOR: You have 3-7 years of experience working on Product Analytics for a digital product. You have strong hold on product strategy, experimentation, roadmapping, & prioritisation You are a consumer tech geek, preferably fintech (not mandatory). You are a natural storyteller with exceptional presentation skills. You believe and invest time in project management and have exceptional people skills. You understand and believe user experience is a product. You are humble enough to know that you need to learn, and confident enough to showcase your skills, speak your mind and even challenge the status quo. You have an intrinsic need to be excellent but have learnt to be action oriented. You have failed and can talk about it at length. You have excellent SQL proficiency and are willing to crunch complex numbers. You are a self starter and can operate with a high degree of independence. You have the ability to deal with ambiguity and competing objectives in a fast paced environment. WHAT YOU LL GET IN RETURN: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING: At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.