AI Technology Product Manager Jobs in Bengaluru

Senior Product Manager Location: Bengaluru Department: Product Product Employment Type: Full-Time About Dozee Dozee Health AI is India s leading provider of AI-powered, contactless Remote Patient Monitoring (RPM) and Early Warning Systems (EWS). With a mission to save lives through connected healthcare, Dozee s solutions continuously monitor patients, offering early warnings of clinical deterioration to enable timely interventions. Trusted by hospitals in India, the USA, and Africa, Dozee is transforming patient safety and care, improving outcomes, and reducing healthcare costs. Role Overview As a Senior Product Manager, you will lead the product roadmap and strategy for Dozee s portfolio, including both devices and software applications. You will be responsible for driving product innovation, defining solutions, and ensuring the delivery of products that meet customer needs. This role involves deep cross-functional collaboration to drive successful product launches and customer satisfaction. Key Responsibilities Product Strategy & Roadmap Own and lead the product roadmap, balancing short-term goals with long-term vision. Champion the voice of the customer by deeply understanding their needs and pain points. Work with design/UX teams to define solutions, user interfaces, and workflows that enhance the user experience. Product Development & Execution Translate customer requirements into detailed product specifications. Collaborate with engineering teams to ensure timely delivery of high-quality products. Define and monitor business metrics and OKRs to track success and impact. Cross-Functional Collaboration Align product strategy with business objectives alongside sales, marketing, and service teams. Drive customer success through seamless product experiences and support strategies. Assist in creating marketing materials, including product demos and documentation. Market Research & Competitive Analysis Evaluate market opportunities and perform competitive analysis to identify growth areas. Conduct research to ensure products are differentiated and aligned with global customer demands. Team Leadership & Mentorship Lead and mentor a team of Product Managers, providing guidance, coaching, and support for professional growth. Requirements Experience & Qualifications 5-7 years of experience in Product Management, preferably in healthcare or technology sectors. Proven experience in launching and scaling B2B products. Strong communication skills and the ability to influence cross-functional teams. Experience leading and developing teams to deliver successful outcomes. Skills Ability to think strategically and tactically. Data-driven decision-making with a focus on actionable insights. Expertise in product management tools such as JIRA and Asana. Familiarity with Business Intelligence (BI) tools is a plus. Why Join Dozee Pioneer AI-powered solutions that are saving lives and transforming healthcare. Lead strategy alongside industry experts in a fast-paced, innovative environment. Collaborate with top healthcare providers on a global scale.

Staff Software Engineer AI & Automation Location: Bengaluru Company: Okta, The World s Identity Company Experience: 8+ Years Type: Full-Time About Okta Okta is the world s leading identity platform. We empower people to securely access any technology, anywhere, on any device. With products like the Okta Platform and Auth0, we place identity at the core of business security, enabling growth through safe digital transformation. At Okta, we value diverse perspectives and experiences. We believe in learning, collaboration, and building an inclusive environment where everyone belongs. About the Team The Business Technology - Shared Services team is at the forefront of Okta s internal digital transformation. We focus on building intelligent, automated platforms that simplify operations and deliver smarter, faster experiences to both employees and customers. We collaborate across engineering, data science, security, and business units to deliver cutting-edge solutions powered by Generative AI (GenAI), virtual agents, workflow orchestration, and intelligent recommendations. The Opportunity As a Staff Software Engineer, you ll play a critical role in designing and developing AI-powered platforms that drive automation, scale, and intelligence across Okta s business. You ll help make LLM-powered solutions and intelligent automation a reality for the enterprise ensuring performance, security, and reliability at scale. This is a hands-on, individual contributor (IC) role, ideal for engineers who are passionate about solving complex problems, architecting scalable systems, and pushing the boundaries of AI integration. What You ll Do Design & Build: Develop scalable backend services that embed GenAI and automation into core business workflows (e.g., virtual agents, document intelligence, smart routing). Collaborate Across Teams: Work closely with product managers, data scientists, and other engineers from ideation to production. Architect for Scale: Make key architectural decisions around LLM integration, API design, data flow, and observability. Code with Excellence: Write clean, secure, and maintainable code in Python, Java, or similar languages. Build for Production: Use Docker, Kubernetes, and CI/CD pipelines to build and deploy high-availability services. Champion Best Practices: Promote high standards for testing, security, code reviews, and operational readiness. Mentor & Guide: Support a collaborative team culture through peer mentorship and design reviews. What You ll Bring 8+ years of experience in software engineering with a strong track record of building and maintaining production-grade, cloud-native services. Expertise in distributed systems, API development, and cloud infrastructure (AWS, GCP, or Azure). Proficiency in Python, Java, or Go. Experience with Docker, Kubernetes, and observability tools (e.g., Prometheus, Grafana, ELK). Exposure to AI/ML concepts and eagerness to work with LLMs, NLP, or automation platforms. A strong sense of ownership, collaborative mindset, and a bias toward action. Passion for learning and working with emerging technologies especially in the AI and automation space. Why Join Okta Make AI Real: Help move GenAI from experimentation to enterprise-wide impact. Build with Purpose: Work on challenges that simplify and secure Okta s internal operations. Grow in a Human-Centered Culture: Join a humble, technically driven team that values learning, excellence, and personal growth. Join Okta and shape how identity, AI, and automation come together to power the modern enterprise.

Associate Product Designer Job Type: Full-Time Category: Design Location: Bengaluru About Bright Bright is a consumer fintech startup on a mission to help Americans get out of debt and take control of their finances powered by data science, automation, and machine learning. Our mobile app offers a full suite of tools including credit-building, automated debt paydown, smart budgeting, financial planning, and loan refinancing. With over 300,000 users and 100,000+ reviews, Bright is one of the fastest-growing fintech apps in the U.S. Backed by top-tier investors like Sequoia, Falcon Edge, and Hummingbird, we ve raised over $90M in equity and debt funding and are poised to become one of the top 100 financial institutions in the U.S. Built in India for global markets, Bright combines deep domain expertise, world-class design, and cutting-edge technology to deliver life-changing financial outcomes. About the Role We re looking for a Product Designer with a passion for solving real user problems through smart, user-first design. You ll play a key role in shaping the user experience across Bright s core products working closely with product managers, engineers, and other designers to turn insights into innovative, intuitive, and impactful user journeys. You ll be part of a collaborative, fast-paced, high-growth environment where great design is central to product success. What You ll Do Conduct market, user, and competitor research to identify opportunities and user pain points. Translate research findings into actionable ideas, wireframes, and design solutions. Collaborate cross-functionally with senior designers, PMs, and engineers to deliver user-centric and business-aligned experiences. Use design tools like Figma to create high-quality wireframes, mockups, and prototypes. Build interactive prototypes to showcase user flows, product interactions, and animations. Apply usability testing and feedback loops to refine designs. Stay updated on design trends, tools, materials, and techniques relevant to mobile and web UX. Present and advocate for your design ideas with data-backed rationale. What You ll Bring 2 3 years of experience in UI/UX design for mobile apps, web applications, or software products. Strong design craft across interaction, visual, and service design. Proficiency in tools like Figma, Adobe Creative Suite, and prototyping platforms. Hands-on experience across the full design lifecycle: user research, wireframing, prototyping, visual design, and usability testing. A solid understanding of mobile and web design guidelines and best practices. A strong product mindset, with the ability to collaborate effectively with PMs and engineers. A portfolio showcasing creative problem-solving and user-centered design. Passion for working in a dynamic, fast-paced startup environment. What You ll Get Mentorship and training from experienced consumer product leaders. Hands-on experience building products from 0 to 1 in a high-impact, user-focused environment. Deep exposure to cutting-edge work in AI, financial technology, and global product design. The opportunity to build products that make a real difference in people s lives. The skills and foundation to one day become a product founder yourself. At Bright, design isn't just how it looks it's how it works for the user. If you're ready to craft intuitive, elegant, and impactful experiences that help people achieve financial freedom, we d love to meet you.

Lead Platform Engineer Observability Solutions Location: Bengaluru Experience: 6 10 Years Function: Observability Engineering | Platform Architecture | SRE Enablement Join VuNet Redefining Digital Observability at Scale VuNet is transforming the future of digital experiences through Business Journey Observability, combining Big Data and AI/ML to empower real-time visibility across payments, banking, and financial services. Monitoring 28+ billion transactions/month, our platform is trusted by top financial institutions and powers over 300 million users. Backed by Series B funding and recognized by Gartner, NASSCOM, and Forbes, we are leading the charge in building a new category of observability, proudly Made in India for global impact. Your Role: Lead Platform Engineer As the Lead Platform Engineer, you will architect and drive the development of packaged observability solutions across 100+ infrastructure and application technologies. You will define **golden signals**, build **data collection strategies**, and lead the standardization of alerts, dashboards, and RCA workflows for platforms like **Kubernetes, Oracle DB, and Tomcat**. This is a cross-functional leadership role that sits at the intersection of product, platform, DevOps, and SRE. You will **lead a team** and influence how observability is delivered, scaled, and adopted across complex environments. Key Responsibilities Observability Solution Development Design and lead the delivery of observability packages for databases, middleware, cloud-native, and legacy platforms. Define and implement data collection pipelines, including agents, APIs, logs, metrics, traces, and service discovery. Establish **golden signals, SLIs/SLOs**, and health KPIs for performance, availability, and anomaly detection. Dashboards, Alerts & RCA Develop standardized, reusable dashboards, alerts, reports, and troubleshooting playbooks. Automate **RCA workflows** to improve MTTR and reduce alert fatigue. Platform Enablement & Integration Work with engineering to enhance agent capabilities and support new data sources/formats. Guide implementation of platform features for better observability at scale. Team Leadership & Governance Lead and mentor a team of observability engineers and specialists. Define design patterns, reusable modules, and version-controlled libraries. Stakeholder Collaboration Partner with product managers, DevOps, SREs, and customer teams to gather requirements, align priorities, and validate use cases. Ensure deliverables are scalable, well-documented, and production-ready. What You Bring Must-Have Skills 6 10 years of experience in observability, platform engineering, or SRE roles. Hands-on with tools like Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, Splunk. Strong understanding of logs, metrics, traces, profiling, and collection strategies. Experience developing solutions for platforms like Kubernetes, Oracle, PostgreSQL, Tomcat, etc. Proficient in Python, Shell scripting, APIs, and automation tools (**Terraform**, etc.). Familiar with alert fatigue mitigation, anomaly detection, and RCA frameworks. Excellent communication, technical leadership, and documentation skills. Nice to Have Experience managing an observability marketplace or solution catalog. Contributions to open-source observability projects. Certifications in Kubernetes, Observability platforms, or cloud providers (AWS/GCP/Azure). Background in ITSM tools, CMDBs, or incident workflow automation. At VuNet, you ll help build a category-defining observability platform that s already transforming critical infrastructure for leading financial institutions. You ll work with passionate engineers, push technical boundaries, and grow in a high-trust, high-impact environment. What You ll Experience: Ownership of key observability initiatives impacting 300M+ users. Collaboration with SRE, DevOps, and product teams across real-time financial systems. Opportunity to experiment with and shape Gen AI, ML, and emerging telemetry trends. Perks & Benefits Health insurance for you, your parents, and dependents. 1:1 mental wellness support. Training programs, certifications, and career growth opportunities. Transparent, inclusive, and high-trust work culture. Access to cutting-edge technology and Gen AI-powered workspaces.

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

Job Title: Product Manager Location: Bangalore Experience Required: 2+ years Qualification: Any Graduate Role Overview Medi Assist is seeking a Product Manager to lead key modules of our flagship MAtrix claims processing platform. This role is central to driving innovation in healthcare claims processing through AI-enabled automation, enhanced operational efficiency, and a seamless user experience. You'll collaborate closely with engineering, operations, and business stakeholders to deliver impactful product outcomes in a fast-paced, tech-driven environment. Key Responsibilities Product Ownership: Manage the complete lifecycle of assigned product modules from ideation and development to deployment and transition to operations. Stakeholder Collaboration: Gather requirements, prioritize features, and align product goals with input from engineering, operations, and other cross-functional teams. AI Integration: Champion the use of AI/ML technologies to enhance claim processing accuracy and reduce turnaround time. User Experience: Optimize internal and external user journeys, ensuring the platform remains intuitive, responsive, and efficient. Qualifications & Skills Experience: Minimum 2 years in product management, preferably in health tech, insurance, or enterprise SaaS platforms. Technical Acumen: Understanding of AI/ML applications in product development and familiarity with software development processes. Analytical Thinking: Strong problem-solving skills with a data-driven approach to decision-making and product optimization. Communication: Excellent verbal and written communication skills, capable of conveying complex ideas clearly to both technical and non-technical audiences. Work at the intersection of technology and healthcare, driving meaningful impact Be part of a collaborative and forward-thinking team Opportunity to shape the future of AI-driven claims processing Qualification : Any Graduate

Position: Senior Manager, Salesforce Operations Location: Bengaluru, India (Hybrid 3 days onsite) Company: Samsara Technologies India Pvt. Ltd. About Samsara Samsara (NYSE: IOT) leads the Connected Operations Cloud, empowering industries like transportation, agriculture, and manufacturing to harness IoT data for smarter, safer, and more sustainable operations. With a global impact and a fast-scaling culture, Samsara offers unique opportunities to solve real-world challenges with cutting-edge technology. Role Overview Samsara is seeking a Senior Manager, GTMS (Go-to-Market Systems) Operations to lead the Salesforce operations team in Bangalore. Reporting to the Sr. Director of Sales Systems, this role is pivotal in building Samsara s India-based GTMS operations from the ground up, ensuring performance, scalability, and alignment across Sales, Finance, Product, and Business Technology functions. The ideal candidate is an experienced Salesforce operations leader with a passion for systems stability, stakeholder alignment, and continuous process improvement, coupled with strong people leadership and cross-functional collaboration skills. Key Responsibilities Operational Excellence & Governance Lead end-to-end incident and problem management across the Salesforce and GTMS ecosystem. Drive operational stability, reliability, and proactive issue resolution across sales systems. Manage system releases, updates, and quality control processes. Cross-Functional Collaboration Act as a bridge between Sales, Finance, Product, and IT to align systems strategy with business outcomes. Ensure seamless data flow and process integration across enterprise systems. Maintain transparent, regular communication with senior stakeholders. Strategic Planning & Cost Management Build operational strategies that support scale and growth in GTM functions. Optimize resource allocation and control budget and cost efficiency. Support and execute on long-term product and process roadmaps. Team Leadership & Development Build, mentor, and manage L2/L3 operations teams based in India. Foster an inclusive, high-performing team culture with strong talent development practices. Define KPIs and continuously improve team performance through coaching and process optimization. Vendor, Compliance & Risk Management Manage third-party vendor relationships and evaluate tools to enhance operational delivery. Enforce compliance, data security, and privacy standards within the systems landscape. Minimum Qualifications Bachelor s degree in IT, Business, or a related field (Master s preferred). 3+ years experience in a Salesforce-focused operations leadership role. Proven expertise in Salesforce Sales Cloud, CPQ, and GTM systems integration. Deep operational experience in system support, QA, and incident management. Strong executive presence, communication, and stakeholder influencing skills. High level of business acumen and ability to align tech strategy with business goals. Ideal Traits Strategic thinker with a passion for customer-centric system design. Strong collaborator across technical and non-technical teams. Agile leader ready to scale operations in a hyper-growth, data-driven environment. Curious about using AI and automation to elevate system reliability and performance. Qualification : Bachelors degree in IT, Business, or a related field (Masters preferred).

Job Title: Product Manager Location: Bengaluru, Karnataka, India Department: Product Engineering Experience: 5 8 years About TheMathCompany TheMathCompany (MathCo ) is a global Enterprise AI and analytics firm trusted by Fortune 500 and Global 2000 companies to deliver impactful, data-driven decision-making. We create custom-built AI solutions through a powerful blend of human expertise and our proprietary platform, NucliOS. At MathCo, we empower our people known as Mathemagicians to innovate, take ownership, and drive transformation at scale. About the Role As a Product Manager at MathCo, you will be at the helm of a high-impact portfolio of custom-built, self-service products designed for some of the world s leading enterprises. These products span domains like performance monitoring, analytics enablement, and digital transformation some already delivering 3x 5x ROI within their first year. You'll lead cross-functional teams of engineers, data scientists, designers, and business analysts through the full product lifecycle from 0-to-1 ideation to production rollout. This is a rare opportunity to build highly customized solutions while contributing to the development of our proprietary platform that powers all of MathCo s AI-driven products. If you're someone who thrives at the intersection of business strategy and technology and has a knack for building solutions from the ground up this role is for you. Key Responsibilities Product Development & Lifecycle Ownership Drive the end-to-end product lifecycle from ideation to launch. Lead the development of self-service applications tailored to client needs, ensuring innovation, scalability, and usability. Collaborate closely with engineering, data science, design, and DevOps teams to deliver robust features and solutions. Stakeholder & Project Management Own client relationships and manage stakeholder expectations with clarity and accountability. Define and prioritize product roadmaps, sprint backlogs, and feature releases using Agile methodologies and tools like JIRA. Drive conversations with Fortune 500 clients to align business goals with product strategies. Research & UX Conduct market and user research to validate features and prioritize user-centric design. Partner with design teams to develop high-impact UI/UX prototypes that elevate the product experience. Technical Oversight Guide custom product development, including architecture, design, and deployment on cloud platforms like AWS, Azure, or GCP. Oversee data pipelines, warehousing, and transformation strategies for data-driven applications. Lead discussions on DevOps strategies and CI/CD best practices. Work with QA to ensure quality, testing, and production readiness of the product. Must-Have Skills & Experience 5 8 years of experience building and managing digital products. Proven ability to own the P&L and ROI of tech products, preferably in the enterprise or B2B domain. Hands-on familiarity with: Frontend technologies: HTML, CSS, React (or similar) Backend technologies: Python, REST APIs Cloud services: AWS / Azure / GCP Strong understanding of Agile development methodologies, project tracking (e.g., JIRA), and DevOps processes. Excellent problem-solving and cross-functional leadership skills. Clear and persuasive communication, with the ability to align technical and non-technical teams. Be part of a fast-scaling tech organization working on cutting-edge enterprise AI solutions. Shape the next generation of AI-enabled products with end-to-end ownership and autonomy. Collaborate with a diverse team of innovators, each empowered to leave a mark. Enjoy a culture that s flat, inclusive, and focused on learning and impact. Excited to build transformational products from scratch? Let s talk. Apply now to be a part of MathCo s product innovation journey.

Job Title: Senior Product Engineer Location: Bengaluru, Karnataka, India Department: MathCompany India (Product Engineering) Experience: 4.5 to 7 years About TheMathCompany TheMathCompany (MathCo ) is a global Enterprise AI and Analytics company, empowering Fortune 500 and Global 2000 companies with custom-built AI products and platforms. We blend deep domain knowledge, analytics, and cutting-edge technology to solve real-world business challenges. Our proprietary platform NucliOS powers smart, scalable solutions, enabling rapid and sustainable transformation. Join our vibrant team of engineers, data scientists, and designers who are building transformative enterprise products that deliver 3x 5x ROI within their first year of launch. Role Overview As a Senior Product Engineer, you ll play a key role in developing, maintaining, and optimizing full-stack web applications. This is a hands-on role where you'll be responsible for designing both backend services and frontend interfaces, while ensuring high-quality, scalable, and secure performance. You ll collaborate cross-functionally with product managers, designers, and fellow engineers to deliver enterprise-grade software products. This is a great opportunity to contribute to impactful solutions while expanding your technical leadership in a high-growth, agile environment. Key Responsibilities Full Stack Development Design, build, and manage REST APIs, backend services, and deployment pipelines. Develop responsive UI components using modern JavaScript frameworks (e.g., React, Angular, Vue). Architect and manage application databases, handling data modeling, integration, and optimization. Implement secure authentication and authorization protocols (e.g., OAuth2, OIDC, SAML). Own the end-to-end development lifecycle from concept through to deployment and support. Product Development & Collaboration Partner with product managers and UI/UX designers to convert requirements into scalable technical solutions. Drive product performance and usability by identifying opportunities for optimization. Act as a key technical stakeholder, participating in product roadmap discussions and sprint planning. Code Quality & Testing Write clean, maintainable, and efficient code following SOLID principles and industry best practices. Conduct peer code reviews and mentor junior engineers. Develop and maintain unit tests, integration tests, and ensure comprehensive test coverage. Contribute to CI/CD pipelines and participate in deployment and infrastructure automation. Technical Skills Required 4.5 7 years of experience in full-stack product development. Strong programming in Python or Node.js (bonus: Rust/Go). Advanced front-end development with JavaScript, HTML, CSS, and frameworks like React, Vue, or Angular. Strong grasp of object-oriented design, SOLID principles, and modern design patterns. Experience designing and implementing relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases. Proficient in cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with infrastructure tools: Docker, Kubernetes, Terraform, CloudWatch. Comfortable using version control and project tools like GitHub, Azure DevOps, and JIRA. Soft Skills & Work Style Strong problem-solving mindset and high attention to detail. Effective collaborator and communicator, both within the engineering team and cross-functionally. Familiarity with Agile methodologies (SCRUM), sprint cycles, and backlog grooming. Ability to juggle multiple tasks and deliver under tight deadlines in a fast-paced environment. Work on innovative products delivering real ROI for Fortune 500 companies. Be part of a people-first culture that values transparency, curiosity, and collaboration. Accelerate your career in an organization that rewards initiative and impact. Get access to state-of-the-art tools, resources, and learning programs. Apply now and join us in redefining how enterprise software gets built!

Engineering Manager Location: Bengaluru (Whitefield) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader harnessing AI and data to tackle complex industrial challenges across Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy sectors. Our flagship products include Cognite Atlas AI and Cognite Data Fusion (CDF). We are proud recipients of the 2022 Technology Innovation Leader award and 2024 Microsoft Energy & Resources Partner of the Year. Our Values Impact: Deliver meaningful results that matter. Ownership: Take initiative, collaborate, and share responsibility for success. Relentless: Pursue innovation with determination and resilience. Role & Responsibilities Lead and manage a team of 5-10 engineers building scalable services and applications for Cognite Data Fusion. Collaborate cross-functionally with designers, product managers, and program managers to deliver high-quality products on time. Coach engineers of varied experience and backgrounds to maximize their impact and growth. Understand user problems and domain to guide the team effectively. Remove blockers and liaise with stakeholders across teams to solve challenges. Influence product and technical direction actively. Contribute to code, reviews, and documentation when needed. Use Cognite products regularly to empathize with users ( dogfooding ). Desired Profile 2+ years of people management experience in a product company. 5+ years of full-stack development experience with expertise in JavaScript/TypeScript, React, and backend technologies. Previous senior engineer or tech lead experience is a plus. Passionate about growing engineering talent with empathy. Collaborative mindset focused on the greater good. Experience building data-intensive applications. Skilled in managing end-to-end feature delivery. Comfortable working in a fast-paced environment. Strong English communication skills, both written and verbal. Diverse global team of 70+ nationalities with a focus on Diversity, Equality & Inclusion (DEI). Modern, vibrant office in Whitefield, Bengaluru, with a hybrid work model. Flat organizational structure with easy access to decision-makers and minimal bureaucracy. Opportunity to work with top talent on ambitious, high-impact projects. Engage with the community via Cognite HUB and direct collaboration with partners. Make Your Impact Join Cognite to help transform industrial digital transformation through strong DataOps and innovative software, empowering industries and front-line workers worldwide. We encourage applicants of all backgrounds and identities.

Product Manager Location: Bengaluru, India Company: ShopUp HQ Role Overview At ShopUp, Product Managers act as the vital link between technology and innovative business solutions. You will drive growth and operational efficiency by addressing critical business challenges through the creation of impactful products, processes, and strategies. As a problem solver and executor, you will lead cross-functional initiatives that shape the company s vision and translate it into actionable, iterative plans. Your work will directly influence multiple teams and stakeholders, propelling ShopUp s mission forward. Key Responsibilities Own the end-to-end success of a product, process, or business function. Identify and deeply understand user pain points and business challenges. Decompose complex problems into manageable components and develop iterative solutions through new products, features, or processes. Create and maintain a strategic roadmap to guide product development and enhancements. Develop, implement, and manage new services, tools, and programs to optimize operations and align with company goals. Prioritize tasks effectively to balance quick wins with long-term benefits. Collaborate closely with software engineers, operations managers, finance, supply chain, leadership, and merchants to deliver features and roll out products smoothly. Anticipate program roadblocks, manage escalations, and balance business priorities against technical or operational constraints. Define clear requirements, oversee metrics analysis, support development and testing phases, and lead product launches. Partner with designers to enhance user experience and product usability. Investigate issues and coordinate root cause analysis and resolution for escalations. Qualifications & Experience Professional Experience: 4-6 years minimum experience in product management roles. Experience in software engineering is a plus. Educational Qualification: Engineering background preferred but not mandatory for candidates with strong product management expertise. Skills Required Strong prioritization and project tracking abilities. Data-driven decision making and analysis skills. Experience in Go-to-Market (GTM) strategies. Excellent cross-functional collaboration and communication skills.

Principal Data Scientist / Data Science Manager Ads Team Location: Bangalore, Karnataka | Department: Tech Shape the Future of AdTech at Meesho Join Meesho s high-impact Data Science team often compared to the Avengers for our ability to solve some of the toughest data problems in India s e-commerce landscape. We build intelligent, scalable systems that serve millions of users across diverse product categories. Our work in fraud detection, inventory optimization, and platform vernacularization continues to unlock new possibilities in digital commerce. Now, as part of our Ads team, we re seeking a visionary Principal Data Scientist / Data Science Manager to elevate our advertising technology through cutting-edge machine learning solutions. About the Role As a leader within our AdTech division, you ll design, implement, and scale innovative ML solutions for real-time bidding, ad ranking optimization, budget pacing, and performance measurement. Your work will drive business impact and help define the future of our monetization strategy. Key Responsibilities Design and develop advanced bidding and budget pacing algorithms to optimize ad spend and ROI Create experimental frameworks to measure ad effectiveness and attribution Collaborate cross-functionally to transform business needs into efficient AI/ML-based solutions Define and communicate the long-term data science roadmap with business and tech leadership Mentor junior data scientists and guide team-level strategy Lead research initiatives in ML, auction theory, and AdTech domains Required Qualifications B.Tech in Computer Science, Machine Learning, or related field with 6+ years of hands-on experience Strong expertise in auction theory, predictive modeling, causal inference, and reinforcement learning Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow Experience with big data tools and environments Proven ability to mentor teams and manage complex analytical projects Excellent written and verbal communication skills Preferred Qualifications M.Tech or Ph.D. in Computer Science or related discipline with ML specialization 3+ years of experience working in AdTech, real-time bidding systems, or programmatic advertising Track record of taking ML research to production Publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI) About Meesho Meesho is India s top-rated e-commerce workplace and the first Indian horizontal e-commerce platform. We empower over 1.75 million sellers and serve customers across every serviceable pincode in India. Our platform enables small businesses and entrepreneurs to thrive online by offering zero commission, lowest shipping cost, and state-of-the-art logistics support. We combine local relevance with a strong technology backbone to deliver a uniquely inclusive shopping experience. Our Mission Democratizing Internet Commerce for Everyone We aim to enable 100 million small businesses to sell online. Our seller-first approach, innovation-first culture, and focus on the underserved population of Bharat drive everything we do. Our Culture & Benefits At Meesho, we ve built a people-first, high-performance culture backed by 11 guiding principles (our "Mantras"). Our employees benefit from a workplace that encourages reflection, continuous growth, and mobility. What We Offer: Competitive compensation including equity options and performance bonuses Comprehensive wellness support via our MeeCare Program medical, mental, and financial wellbeing Flexible benefits, including generous leave policies, parental support, and L&D assistance Support with relocation, telehealth, fitness, and recreational discounts Frequent engagement activities, performance recognition, and a fun, inclusive environment If you are ready to lead transformative projects in advertising and machine learning at scale, apply today and help us redefine commerce in India. Apply now and join Meesho s Data Science revolution. Qualification : B.Tech in Computer Science, Machine Learning, or related field with 6+ years of hands-on experience

Software Engineering Manager, Machine Learning Location: Bangalore, India Full Time Company: Meta Meta s Enterprise Product Applied Research team is at the forefront of developing transformative AI-driven products. We leverage cutting-edge AI technology to make Metamates more productive, improve the quality of their work, and challenge the limits of what AI can do. As a Software Engineering Manager in this team, you will help shape the future of Meta s enterprise operations, build innovative machine learning systems, and manage a team of talented engineers to deliver on high-impact projects. Key Responsibilities: Lead multiple teams to deliver projects with increasing dependencies in high-impact or ambiguous areas. Work with your team and cross-functional partners to define and influence strategy. Drive the creation and execution of roadmaps for machine learning products. Collaborate with various functions, engineering teams, and partners to drive initiatives and impact at an organizational level. Participate in technical design and ensure high standards for system architecture and implementation. Measure the impact of your team, set clear expectations, and drive performance through effective people management. Partner with leadership to influence organization design, prioritization, and resource allocation. Minimum Qualifications: 5+ years of software engineering experience, with hands-on technical management in large-scale systems, algorithms, and tools within the machine learning domain. 5+ years of coding experience in one of the following languages: C++, Java, Python, or PHP. BS/MS in Computer Science or a related discipline, or 4+ years of work experience in lieu of a degree. Demonstrated experience recruiting and managing technical teams, including performance management. Strong technical skills combined with effective people management abilities. Experience supporting and scaling machine learning teams and systems. Subject matter expertise in machine learning technologies and practices. Commitment to staying in the same team in India for a minimum of 24 months before being eligible for transfer. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since launching Facebook in 2004, we ve revolutionized how people connect. Our apps, including Messenger, Instagram, and WhatsApp, have empowered billions worldwide. Now, we are moving beyond 2D screens toward immersive experiences in augmented and virtual reality, creating the next evolution in social technology. At Meta, you will help shape a future where digital connection transcends the limitations of screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Qualification : BS/MS in Computer Science or a related discipline, or 4+ years of work experience in lieu of a degree.

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).

Software Development Manager CephFS Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: Senior / Leadership Company: IBM Ceph Engineering Team Education: Bachelor s Degree (Master s preferred) Introduction: At IBM, we re not just redefining business we re redefining what s possible through technology, collaboration, and innovation. As one of the world's leading technology companies, IBM is transforming industries through the power of AI, Cloud, Analytics, Security, and IoT. With a presence in over 170 countries, we bring together diverse minds to solve complex challenges and build a smarter future. Join IBM s Ceph Engineering Organization and be a part of shaping the future of software-defined distributed storage. We're looking for an experienced and visionary Software Development Manager to lead the CephFS team the group responsible for the file system layer of the Ceph ecosystem. About the Role: As a Software Development Manager for CephFS, you ll play a key leadership role in designing, developing, and delivering new capabilities in CephFS, the scalable and highly available POSIX-compliant distributed file system built atop Ceph. You ll lead a global team of engineers, working in an open-source community, to develop enterprise-grade storage solutions for modern workloads. You will focus on building next-generation distributed file system features like instant cloning, file overlays, coherent snapshots, and advanced client-side caching. This role is a mix of hands-on technical leadership and people management, with strong collaboration across open-source communities, IBM product teams, and clients. Key Responsibilities: Lead and mentor a team of talented engineers working on CephFS. Drive the design and implementation of new distributed features and algorithms for file system scalability, performance, and resiliency. Collaborate with the global Ceph open-source community to contribute and review code, resolve issues, and plan new features. Guide the team in debugging complex production issues, both live and offline. Collaborate with client-facing and support teams to perform root cause analysis for customer-reported issues. Contribute to the architecture and roadmap of CephFS in alignment with product and client needs. Engage in code reviews, triaging, and architectural discussions. Promote engineering best practices and a culture of continuous improvement. Required Skills & Experience: Bachelor s degree in Computer Science or related field. Strong experience working with C++ or other systems programming languages. Excellent debugging skills (live system and core file analysis). Hands-on experience in open-source development (preferably with contributions to GitHub). Good understanding of large-scale codebases and the ability to design and implement major features or changes. Comfortable working with Python for automation and testing. Proficiency with Git and GitHub workflows. Excellent verbal and written English communication skills to coordinate with a distributed, global team. Proven ability to mentor and support engineers while driving technical excellence. Preferred Qualifications: Master s degree in Computer Science or related field. Experience in building or maintaining file systems or distributed storage platforms. Prior work in distributed systems, high-performance computing, or cloud-native storage. Experience working in remote/distributed teams. Familiarity with systems like OpenStack, Kubernetes, or NFS-Ganesha. Work with world-class engineering teams on products that power global enterprise infrastructure. Be part of a vibrant open-source community, contributing to widely adopted storage technologies. Enjoy a culture of continuous learning, innovation, and impact. Competitive salary, benefits, and flexible work arrangements. Be essential. Be a leader in redefining how the world stores and accesses data. Apply today to join IBM s CephFS team and help build the future of enterprise file storage. Qualification : Bachelors degree in Computer Science or 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: AI Engineer Group: Platform & Energy Business Unit: CARIAD Business Unit India Location: Whitefield, Bangalore Experience: 5 to 9 years About CARIAD (Car, I Am Digital) CARIAD is an automotive software company that brings together the Volkswagen Group's software capabilities and builds upon them to drive innovation across the automotive industry. We are developing a unified technology and software platform, including a vehicle operating system, a vehicle cloud platform, and a new architecture for all Volkswagen Group brands. Operating under a licensing agreement with CARIAD SE in Germany, CARIAD India is at the heart of transforming automotive mobility through technology. Join us and become part of a team that is building the future of automotive software. With a talented team of over 360 experts at CARIAD India and 6,000+ global CARIDIANs, you will work on cutting-edge platforms and technologies, from firmware and bootloaders to AUTOSAR, Linux/QNX BSP, and service-oriented architecture-based middleware components. Job Description We are looking for an AI Engineer to join our team and contribute to developing innovative AI models and solutions for the automotive industry. As an AI Engineer, you will work with large language models (LLMs), deep learning frameworks, and natural language processing (NLP) techniques, creating impactful AI applications. You will play a key role in AI model development, training, fine-tuning, and integrating AI solutions across automotive platforms. Key Responsibilities: AI Model Development: Design, develop, and implement advanced AI models, specifically leveraging deep learning frameworks like TensorFlow, PyTorch, and Scikit-learn. LangChain Expertise: Utilize LangChain to integrate generative AI capabilities into platforms and applications, ensuring efficient and scalable AI implementations. Large Language Models (LLMs): Implement and fine-tune large language models (LLMs), exploring new ways to enhance their performance and apply them to real-world automotive challenges. NLP Techniques: Apply natural language processing (NLP) techniques to improve AI systems' understanding and processing of textual data. Data Handling: Work with large datasets, performing data preprocessing, cleaning, and analysis to ensure the quality and accuracy of AI models. System Integration: Collaborate with both frontend and backend teams to integrate AI solutions into automotive software platforms. Model Training and Fine-tuning: Lead the training of machine learning models, fine-tune them for specific use cases, and optimize for real-time applications in the automotive domain. Collaboration: Work closely with cross-functional teams, including engineers, data scientists, and product managers, to ensure successful AI application development and deployment. Required Skills and Experience: Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. AI Expertise: Proven experience in developing AI models, particularly using Python and frameworks like TensorFlow, PyTorch, or Scikit-learn. LangChain Knowledge: Strong expertise in LangChain and its use in building generative AI solutions. Large Language Models (LLMs): Solid understanding of LLMs and practical experience implementing them in various applications. NLP Experience: Experience with natural language processing (NLP) techniques, including text processing, semantic analysis, and machine translation. Data Handling: Ability to work with large datasets, performing efficient data preprocessing, cleaning, and analysis. Frontend and Backend Systems: Hands-on experience in both frontend and backend systems, ensuring smooth integration of AI models into full-stack applications. Model Training: Experience in training and fine-tuning machine learning models, especially LLMs, to improve accuracy and performance. Good to Have: Automotive Domain Experience: Familiarity with the automotive industry and how AI can be applied to automotive systems, such as autonomous driving, in-vehicle infotainment, and smart diagnostics. Innovative Environment: Work on cutting-edge AI technologies and contribute to the digital transformation of the automotive industry. Career Growth: Opportunity to develop your career and grow within a global company that values creativity, innovation, and continuous learning. Collaborative Culture: Work alongside a talented and motivated team of experts from around the world to solve complex challenges. About CARIAD India CARIAD India is an integral part of the global CARIAD team, contributing to the advancement of automotive software technologies. By joining CARIAD India, you'll be part of a dynamic team driving innovation in the automotive industry, developing groundbreaking technologies, and creating a positive impact on the future of mobility. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

What Makes Us a Great Place to Work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four for the last 13 years. We believe that diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor, and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With Vector is Bain s integrated digital and analytics capability, bringing together Enterprise Technology and AI, Insights & Solutions (AIS) to deliver cutting-edge innovation. AIS, formed through the merger of Bain's Advanced Analytics and Innovation & Design teams, is a diverse group of experts in analytics, engineering, product management, and design. Together, we create human-centric solutions that leverage the power of data and artificial intelligence to drive competitive advantage for our clients. As part of AIS, the India-based Center of Excellence (COE) specializes in delivering Generative AI (Gen AI) and advanced engineering solutions for our clients globally. The COE will also lead the charge on building solution accelerators for our clients. What You ll Do As a Manager, AIS Software Engineering, you will lead the development and application of technical solutions to address complex problems in various industries. You will guide a diverse engineering team through the entire engineering lifecycle while collaborating with remote and distributed teams, including both technical and consulting teams across the globe. Your responsibilities will include designing, developing, optimizing, and deploying cutting-edge software engineering solutions and infrastructure at the production scale required by the world s largest companies. Collaboration: Work closely with colleagues in the AIS COE (e.g., data scientists, ML engineers, software engineers, platform engineers) to build software solutions that solve clients business problems. Technical Leadership: Serve as the overall technical leader, providing deep expertise in software engineering, distributed systems, AI, and application architecture design. Lead the development and delivery of end-to-end solutions for client cases. Development Lifecycle: Lead key parts of the software development life cycle, including architecture design, writing clean code, conducting code reviews, writing documentation, and identifying issues and resolutions. Framework Development: Collaborate on (or lead) the development of re-usable common frameworks, models, and components to address common software engineering problems across industries and business functions. Best Practices & Innovation: Drive best practices in software engineering and share learnings with team members in AIS. Promote industry-leading innovations to create significant client impact. Team Management: Contribute to creating a great working environment that attracts talented engineers. Act as a PD Advisor as needed and support recruiting and onboarding new team members. Travel Requirements: Minimum travel, based on project needs and training opportunities. About You Education & Experience: Bachelors/Master s degree in Computer Science, Engineering, or a related technical field. 8+ years of hands-on experience in web development, programming languages, version control, software design patterns, infrastructure, deployment, integration, and unit testing. 3+ years of experience managing software engineers. A proven track record of leading a team and collaborating on strategic initiatives, with experience in shipping production applications and software analytics products. Technical Expertise: Expert knowledge (5+ years) of Python. Deep experience with server-side frameworks and technologies such as FastAPI, Node.js, Flask. Familiarity with cloud platforms like AWS, Azure, or GCP. Strong understanding of software architecture, DB design, scalability, and SQL, with experience in RDBMS (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra, Elasticsearch). Experience with client-side technologies such as React, Vue.js, HTML, and CSS. Familiarity with DevSecOps principles, CI/CD tools, MLOps, LLMOps, and infrastructure as code (Jenkins, Docker, Kubernetes, Terraform). Knowledge of software security, privacy regulations, and cybersecurity. Soft Skills: Strong interpersonal and communication skills, including the ability to explain technical concepts to colleagues and clients from other disciplines. Curiosity, proactivity, and critical thinking. Ability to collaborate effectively with people at all levels and with multi-office/region teams. Ability to work independently, manage multiple priorities, and thrive in a fast-paced and ambiguous environment. About Us Bain & Company is a global consultancy that helps the world s most ambitious change makers define the future. Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from EcoVadis, the leading platform for environmental, social, and ethical performa...

Job Title: Cloud-Based AI Developer - Advanced Analytics Group (AAG) Company: Bain & Company Job Type: Full-Time Employment Type: Permanent What Makes Us a Great Place to Work: We are proud to be consistently recognized as one of the world s best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four for the last 13 years. Diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, creating an environment where you can thrive both professionally and personally. We are publicly recognized for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With: As a member of Bain s Advanced Analytics Group (AAG), you will work alongside generalist consultants to help clients across industries solve their biggest problems using expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics, and data engineering. AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in tech, data science, marketing analytics, and academia. We are committed to building a diverse and inclusive team and encourage candidates of all backgrounds to apply. What You ll Do: As a member of the AAG, you will be responsible for designing, developing, and maintaining cloud-based AI applications that provide high-quality, scalable, and secure solutions for our clients. Your work will encompass the full stack, from API design to deployment, delivering analytics solutions across various sectors. Cloud-Based AI Development: Design, develop, and maintain cloud-based AI applications, ensuring scalability and security, leveraging full-stack technology solutions. Cross-Functional Collaboration: Work with product managers, data scientists, and other engineers to define and implement analytics features that meet business requirements. Cloud and Containerization: Use Kubernetes and containerization technologies to deploy, manage, and scale applications in cloud environments for optimal performance. API & Microservices Development: Develop and maintain APIs and microservices to expose analytics functionality, adhering to industry best practices for design and documentation. Security and Compliance: Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations. Troubleshooting and Performance Monitoring: Continuously monitor and troubleshoot application performance, resolving issues impacting system reliability and user experience. Code Reviews and Best Practices: Participate in code reviews and contribute to the establishment of coding standards to ensure high-quality, maintainable code. Emerging Trends and Technologies: Stay current with emerging trends in cloud computing, data analytics, and software engineering to enhance the platform s capabilities. Collaboration with DevOps: Work with DevOps and infrastructure teams to automate deployment and release processes, optimizing the development workflow. Client Collaboration: Collaborate closely with business consulting teams to assess opportunities and develop analytics solutions across sectors. Education and Influence: Influence and educate clients on analytics application engineering capabilities, supporting their teams directly. Travel: Expect occasional travel (30%) for project work. About You: Required Qualifications: Education: Master s degree in Computer Science, Engineering, or a related technical field. Experience: 3+ years of experience at Senior or Staff level, or equivalent. Expertise in client-side technologies such as React, Angular, Vue.js, HTML, and CSS. Experience with server-side technologies such as Django, Flask, and Fast API. Proficiency with cloud platforms (AWS, Azure, GCP) and Terraform automation (good to have). 3+ years of expertise in Python. Experience using Git for version control and collaboration. Familiarity with DevOps, CI/CD, and tools like GitHub Actions. Demonstrated interest in LLMs, prompt engineering, and Langchain. Experience with workflow orchestration tools such as dbt, Beam, Airflow, Luigi, Metaflow, Kubeflow, or similar. Experience in the implementation of large-scale structured or unstructured databases, as well as containerization technologies like Docker and Kubernetes. Skills and Knowledge: Strong interpersonal and communication skills to explain complex engineering topics to colleagues and clients from various disciplines. Curiosity, proactivity, and critical thinking. Solid computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and software architecture. Expertise in designing API interfaces and knowledge of data architecture and database schema design. Familiarity with agile development methodologies. Join Bain & Company: Become a part of a forward-thinking team committed to solving complex problems, building innovative solutions, and delivering impactful data analytics and AI solutions. Collaborate with talented professionals and gain valuable experience that shapes the future of data analytics and AI. Qualification : Masters degree in Computer Science, Engineering, or a related technical field.

Company Overview At Intuit, we're empowering prosperity for people and communities worldwide. With products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, we serve over 100 million customers globally. Our mission is simple: help everyone prosper financially. We never stop innovating, constantly finding new ways to support individuals and businesses on their financial journey. Job Title: Group Product Manager - GenAI for Marketing As part of Intuit's Go-To-Market Technology team, you ll be at the forefront of revolutionizing how we utilize Generative AI (GenAI) capabilities to transform marketing. As a Group Product Manager, you ll spearhead the development and execution of our product strategy, driving the integration of cutting-edge technologies to empower marketing teams across Intuit. This is your chance to be part of a dynamic, fast-paced environment and lead impactful innovation at scale. Responsibilities: Drive High-Performance Product Management Lead the product strategy and execution, setting ambitious goals and fostering a culture of excellence and results. Inspire your team and stakeholders with a clear vision, and regularly refine the product roadmap to accelerate use case maturity and deliver value. Collaborate Across Teams and Stakeholders Build a broad network within the organization, ensuring seamless communication and alignment across departments. Actively remove friction points, driving decision-making velocity and ensuring swift execution. Champion Innovation and Prioritization Lead the charge for boundaryless collaboration and prioritization of impactful use cases, solutions, and capabilities. Ensure that products are built to scale quickly and deliver measurable impact to marketing teams. Mentor and Coach Provide guidance, mentorship, and coaching within the product management organization. Establish and propagate best practices, actively enhancing how the team works to deliver world-class results. Qualifications: Proven Product Management Expertise Extensive experience in product management, with a track record of building innovative martech capabilities using cutting-edge technologies. Led enterprise-level transformations, especially with the adoption of AI to power marketing use cases in large organizations. Strategic Leadership & Communication Exceptional leadership skills with the ability to drive change in a matrixed environment. Proven ability to synthesize customer needs and business challenges, delivering marketing solutions that meet diverse organizational needs. Deep Martech and AI Knowledge In-depth experience with martech capabilities and how AI is reshaping the marketing landscape. Expertise in leveraging data to power highly personalized digital experiences, understanding how various platforms work together to support marketing efforts. Strong Technical Fluency Deep understanding of how AI, orchestration, and owned-channel activation work together to create marketing excellence. Knowledge of AI-driven marketing analytics and how to harness those insights to deliver game-changing results for customers. Visionary Product Development Demonstrated ability to craft and champion a compelling product vision, strategy, and roadmap. Proven success in managing technically complex, platform products at scale particularly in large organizations with diverse needs. Competitive Landscape Awareness Ability to evaluate and act upon emerging tools, platforms, and technologies, staying ahead of the competition and aligning strategies to meet evolving market demands. Knowledge of the vendor landscape in the martech space and the ability to influence vendor roadmaps to meet business objectives. Leadership & Mentorship 3+ years of people management experience, with a proven track record of mentoring and developing high-performing teams. Strong interpersonal and leadership skills, with the ability to persuade, motivate, and communicate a clear vision to all levels of the organization. Preferred Qualifications: Educational Background Relevant undergraduate degree required, with an advanced degree preferred. At Intuit, we re not just building products; we re building the future of financial empowerment for people around the world. As a Group Product Manager leading the charge on GenAI-powered marketing capabilities, you ll have the opportunity to drive transformational change on a global scale. You'll collaborate with some of the brightest minds in the industry, work with cutting-edge technology, and make a lasting impact on how marketing is done in the digital age. Qualification : A high degree of curiosity and bias towards experimentation to learn quickly