Product Data Management Engineer in India

🚀 About Bolna Bolna is a platform to seamlessly build and deploy multilingual human-like Voice AI Agents capable of handling inbound and outbound calls. We're built for enterprises and fast-scaling teams handling high-volume phone workflows across recruitment, support, operations, and collections. Bolna dynamically routes each call across the best ASR, LLM, and TTS models by language, latency, and cost - so you get human-like conversations at scale without tuning infrastructure. We're solving the real-world bottleneck of scaling phone-based interactions without needing to hire, train, or manage large human agent teams. Why our Customers love us Ability to train agents and go live with 1,000s of calls in less than 2 days Massive increase in ROI-with agents matching human performance at 50% of the cost Effortless upscaling and downscaling based on calling requirements Transparent pricing (only per minute) and best-in-class support We are just getting started. If you want to work hard and create lasting impact, we'd like to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company - from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our product. About the role You’ll be a hands-on, high-agency designer with a strong product mindset. You won't just be pushing pixels; you'll design how users create, train, and launch Voice AI agents while deeply understanding the metrics that drive user success. Working closely with engineering and product teams, you’ll ship real features, run funnel analytics, and drive product ideation. If you enjoy sitting at the intersection of design, engineering, data, and business, this role is for you. What you'll

About the Team Meesho is on a mission to enable 100 million businesses to succeed online. With your help, we can go beyond!We’re making e-commerce accessible for tier-2+ markets who are new to e-commerce and have almost never transacted online before Our Design team is as diverse as our users. Today, the team comprises of 30 Designers – including Interaction and Visual Designers As Product Designer, you’ll be part of a team solving unique problems, one that’s mostly untouched by other e-commerce players. But wait, there’s more! We’re individuals who are obsessed with our users. We empathise. We solve at grassroots levels. We’re breaking all the barriers -- be it language, literacy, culture, or technology💪 But wait, there’s more! We’re individuals who are obsessed with our users. We empathize. We solve at grassroots levels. We’re breaking all the barriers -- be it language, literacy, culture, or technology:muscle: If you’re someone who wants to work at a place that creates massive impact, then join us. About the Role Passionate about Design? Find deep-diving into data exciting? Then you might be our next Product Designer🤩 As a Product Designer, you’ll define user goals, scenarios, benefits, and flows as well as own end-to-end experiences from a design perspective. You’ll work closely with Product, Business, Data and Engineering teams to create delightful and impactful experiences for our users. In this role, you’ll break down complex tasks by understanding customer and business needs and translate them into easy to use, intuitive and delightful designs. Your end goal will be to find ways to improve processes to enhance experiences for customers. You'll be able to quickly communicate your decisions and solutions verbally as well as through sketches, user flows, wireframes, hi-fi mocks and functional prototypes.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Senior Data Engineer At Snowflake, we are building the future of the data-driven enterprise. We are looking for a Senior Data Engineer who brings deep technical craft, strong ownership instincts, and the ability to operate across the full data lifecycle — from raw ingestion to production-ready data products. This is not a role for someone who executes tickets. You will design and build the data infrastructure that powers internal decision-making and external product capabilities, working at the intersection of data engineering, platform thinking, and stakeholder alignment. You will own complex technical decisions, set the bar for data quality and governance, and contribute to a data platform that scales with the business. The person we are looking for combines engineering rigour with pragmatic judgement — someone who can solve for today while building for the future, and who raises the standard of the teams they work within. AS A SENIOR DATA ENGINEER AT SNOWFLAKE, YOU WILL: Design, build, and launch production-ready data models and pipelines that scale effectively across the enterprise data lifecycle — from ingestion through transformation, modelling, and consumption Own complex system design decisions end-to-end, evaluating tradeoffs and documenting architectural choices c

Data Engineer Description - Key Roles Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data. Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution. Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies and debugs, and creates solutions for issues with code and integration into data system architecture. Collaborates within a project team of other data engineers to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component. Analyzes data inaccuracies, identifies opportunities and supports the development of automated solutions to enhance overall quality of the enterprise data. Identifies problematic areas and conducts research to determine the best course of action to correct the data; identifies, analyzes and interprets trends and patterns in complex datasets. Works cross-functionally with different departments to assess, define, and develop report deliverables. Represents the software data engineering team for all phases of larger and more-complex development projects. Provides guidance and mentoring to less experienced staff members. Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related di

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Data Engineering Team Our Data Engineering team is part of the Technology Data & Intelligence organization, on a mission to accelerate Okta’s scale and growth. We focus on building platforms and capabilities utilized across the organization by sales, marketing, engineering, finance, product, and operations. You will be part of a team performing detailed technical designs, development, and implementation of applications using cutting-edge technology stacks. The Senior Data Engineer Opportunity As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable solutions. This role involves collaborating with data engineers, analysts, scientists, and other engineers to ensure data availability, integrity, and security. You will play a critical role in preparing Okta for its AI-driven future by building stable data layers and partnering with Analytics Engineers to power our AI/ML systems. What you’ll be doing D

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Design the experiences that secure the internet Auth0 protects over 5 billion login transactions monthly. Every pixel, interaction, and moment of friction shapes how millions experience digital identity. We're looking for a product designer with deep craft, strategic thinking, and the ability to lead through complexity. You'll design experiences that developers and enterprise admins use daily—balancing simplicity with the sophistication that security demands. What you'll do Own end-to-end design for Auth0's Dashboard, Universal Login, and developer experiences. From discovery research through polished UI. Lead strategic initiatives with product managers and engineering leads to define roadmaps and shape product direction Create pixel-perfect interfaces with attention to visual design, interaction patterns, and accessibility Prototype and validate ideas through iteration, user research, and data Evolve our design system, establishing patterns that scale across Auth0 and Okta Mentor designers and raise the bar for craft and process across the team Represent user needs in a security-focused domain where clarity builds trust What we're looking for 7+ years designing digital products, with a portfolio showing strong visual design and systems thinking Experience simplifying complex, multi-step workflows without losing power or flexibility Strong prototyping skills in Figma or similar tools; comfort with code-based prototypes Research fluency and knowing when to r

InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising , you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com Overview of the Role Accelerate is InMobi's AI-native omnichannel advertising platform, purpose-built for SMBs and agencies. Alongside the core platform, InMobi operates an Alliances business tha

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About Snowflake Founded by industry experts and backed by strategic investors, our disruptive built-for-the-cloud architecture was designed to push the limitations of conventional data warehousing. Our teams breed ambition, challenge ordinary thinking, push the pace of innovation, and work hard to provide our customers with the best experience possible. As an Enterprise Product Manager, your key role will be to optimize and strategically evolve Workday Finance Order to Cash (OTC) IT Systems at Snowflake. You will bridge diverse business stakeholders and skilled development teams, translating complex business requirements into precise, actionable functional specifications for technical implementations. This role offers a unique opportunity to contribute to the entire solution lifecycle for critical OTC systems, from design to deployment. Your expertise will directly impact the efficiency, scalability, and accuracy of Snowflake's revenue-generating processes, ensuring a robust OTC ecosystem. What you will be doing As a Staff Enterprise Product Manager, you will independently contribute to and lead the following areas: Process Optimization: Optimize and strategically evolve Workday Finance Order to Cash (OTC) systems, bridging business needs with technical solutions. Operation

Data Engineering – Technical Lead About Us: Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the Role: This position requires someone to work on complex technical projects and closely work with peers in an innovative and fast-paced environment. For this role, we require someone with a strong product design sense & specialized in Hadoop and Spark technologies. Requirements: 4 to 8 years of experience in Big Data technologies. The position Grow our analytics capabilities with faster, more reliable tools, handling petabytes of data every day. Brainstorm and create new platforms that can help in our quest to make available to cluster users in all shapes and forms, with low latency and horizontal scalability. Make changes to our diagnosing any problems across the entire technical stack. Design and develop a real-time events pipeline for Data ingestion for real-time dash- boarding.Develop complex and efficient functions to transform raw data sources into powerful, reliable components of our data lake. Design & implement new components and various emerging technologies in Hadoop Eco- System, and successful execution of various projects. Be a brand ambassador for Paytm – Stay Hungry, Stay Humble, Stay Relevant! Skills that will help you succeed in this role: Fluent with Strong hands-on experience with Hadoop, MapReduce, Hive, Spark, PySpark etc.Excellent progr

Job Title: Data Analyst (Finance) Location: Noida / Gurgaon About the Role: We are looking for a Data Analyst with prior experience in a Finance team to help analyze financial data, track payments performance, and automate daily reporting. You will work closely with Finance, FP&A, and Product teams to drive data-backed financial decisions. Key Responsibilities: ● Dashboards & Reporting: Create and maintain Power BI/Tableau dashboards to track financial metrics like revenue, margins, transaction volumes, and operating costs. ● Data Analysis: Query large databases using SQL to understand transaction trends, cost structures, and profitability. ● Reconciliation & Auditing: Reconcile transaction data across banks, payment gateways, and accounting records to ensure accuracy. ● FP&A Support: Help Finance and FP&A teams with monthly closings, budgeting, variance analysis, and revenue forecasting. ● Process Automation: Automate routine financial reports using SQL and Python to reduce manual Excel work. What We Are Looking For: ● Experience: 2–4 years of experience as a Data Analyst within a Finance, Payments, or FinTech environment. ● Technical Skills: Strong proficiency in SQL and Excel. Visualisation dashboards or business intelligence tools (Tableau, Power BI etc) ● Finance Knowledge: Solid understanding of financial basics, profit & loss (P&L), payments/settlements, and unit economics. ● Education: Bachelor’s degree in Finance, Data Analytics, Engineering, Economics, or a related field.

About the team Meesho is on a mission to enable 100 million businesses to succeed online. With your help, we can go beyond!As Lead Product Designer, you will be part of a team solving a unique problem, one that’s mostly untouched by other e-commerce players. We are making eCommerce accessible for Tier-2+ markets who are new to eCommerce and have almost never transacted online before. Our Design team is as diverse as our users. Today, the team comprises about 50 Designers -- including Product , Visual & Motion Designers. But wait, there’s more! We’re individuals who are obsessed with our users. We empathise. We solve at grassroot levels. We are breaking all the barriers -- be it language, literacy, culture, or technology. About the role If you love designing, keeping users first, getting deep into data and enhancing user experiences, you may be our next Lead Product Designer!As a Lead Product Designer, you will be responsible for driving design across key charters, and mentoring/managing juniors working on these charters. You’ll collaborate closely with Product, Business, Data, and Engineering teams to identify problems and craft experiences that are both impactful and delightful. Alongside taking ownership of complex individual contributor work, you will also mentor and manage a small team of designers—helping them grow while driving quality across the board. What you will do Be the primary owner of multiple charters Be able to lead design and mentor/guide peers in framework thinking and conducting deep research which leads to actionable outcomes Design and validate new experiences via mockups, wireframes, flow diagrams, sketches, and other UX artefacts Conduct quick rounds of usability testing Individually contribute to the design decisions and mentor senior and junior Designers for holistic growth Effectively use quantitative and qualitative data to drive decisions and measure success Collaborate with th

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Scientist II Role Overview Build and productionize enterprise-grade AI and Generative AI solutions for Mastercard. This role combines strong software engineering with model fine-tuning, Databricks-based ML engineering, AWS deployment, and end-to-end MLOps. Key Responsibilities Design, develop, test, and maintain scalable AI/ML applications, APIs, and reusable engineering components. Fine-tune and evaluate foundation models using techniques such as LoRA, QLoRA, PEFT, and supervised fine-tuning. Build RAG solutions, embeddings workflows, vector-search applications, and AI agents. Create end-to-end ML pipelines for data preparation, training, evaluation, deployment, monitoring, and retraining. Use Databricks, PySpark, MLflow, Unity Catalog, Workflows, Vector Search, and Model Serving for governed model development and operations. Implement CI/CD, automated testing, observability, model monitoring, and production support practices. Partner with data science, engineering, product, security, privacy, and governance teams to deliver reliable and responsible AI solutions. Required Skills & Experience 3–4 years of experience in AI/ML engineering, software engineering, data science, or a related field. Strong Python, SQL, object-or

Opportunity Overview: We are seeking a Sr. Data Engineer to help drive the technical vision of our Data Engineering team as we scale our infrastructure, services, and architecture. This role is ideal for someone who blends deep technical expertise with strategic thinking and cross-functional influence. As a Sr. Data Engineer, you will partner closely with other data and analytics engineers, architects, product leaders, and business stakeholders to evolve our data infrastructure in support of high-trust, scalable, and business-aligned outcomes. You’ll also serve as a force multiplier across teams; raising the bar for data engineering excellence and accelerating the maturity of our data platform capabilities. What you’ll do: Develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from multiple source systems into enterprise data platforms. Ensure pipelines are scalable, reusable, fault-tolerant, and optimized for batch and near real-time processing requirements. Develop interactive dashboards, scorecards, and KPI reporting solutions using BI tools. Deliver executive, operational, and analytical reporting aligned with business goals. Identify repetitive manual reporting processes and automate them using scripting, workflow orchestration, scheduling tools, and dashboard refresh mechanisms to improve efficiency, accuracy, and turnaround time. Collaborate with internal stakeholders and leadership teams to understand data integration and reporting needs, define KPIs, document business rules, and translate requirements into scalable technical solutions. Implement data validation checks, reconciliation controls, lineage documentation, metadata standards, and governance policies to maintain trusted, secure, and compliant data assets across the organization. Provide technical guidance, code reviews, best practices, and mentor junior team members. Investigate and resolve production incidents related to pipelines, delayed reports, data mismatches

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Staff Fullstack Engineer - Data Products An overview of this role As a Staff Fullstack Engineer - Data Products , you will help build GitLab's in-product insights on top of the Data Insights Platform and the GitLab Knowledge Graph. You will be the technical anchor across reporting dashboards, inbound graph ingestion, and outbound data delivery, helping turn software delivery data into reliable and actionable intelligence for customers and internal teams. This is a strong fit if you want to work in a 0 to 1 space where you can shape what gets built, make early architectural choices, and guide work from specification through produc

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Staff Fullstack Engineer - Data Products An overview of this role As a Staff Fullstack Engineer - Data Products , you will help build GitLab's in-product insights on top of the Data Insights Platform and the GitLab Knowledge Graph. You will be the technical anchor across reporting dashboards, inbound graph ingestion, and outbound data delivery, helping turn software delivery data into reliable and actionable intelligence for customers and internal teams. This is a strong fit if you want to work in a 0 to 1 space where you can shape what gets built, make early architectural choices, and guide work from specification through produc