Head OF Analytics Products Jobs in Bengaluru

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

Position: Lead Product Analyst Location: Bengaluru Department: Product Job Type: Full-time Industry: FinTech / Product Analytics About Tide At Tide, we re on a mission to help small and medium enterprises (SMEs) save time and money. We provide them with business accounts, banking services, and a comprehensive suite of connected administrative solutions from invoicing to accounting. Tide is revolutionizing the small business banking market, with over 1.6 million members globally across the UK, India, Germany, and France. We re committed to creating a seamless, data-driven experience for our members through innovative technology and quick, low-fee services. About the Role As a Lead Product Analyst, you ll play a crucial role in shaping and influencing the Acquiring Product strategy, including POS, T2P, and Digital initiatives. You ll leverage your expertise in data analytics to uncover insights that drive merchant growth, optimize pricing, and improve portfolio performance. You will be a hands-on expert who works closely with cross-functional teams in Product, Marketing, Commercial, and Data Science, ensuring data-driven decisions power the product roadmap. This is an exciting opportunity for someone who thrives in a high-impact, high-autonomy environment and can both lead and execute. You ll be responsible for driving multiple initiatives simultaneously, creating clarity from ambiguity, and providing actionable insights that influence strategic decisions. Key Responsibilities Product Strategy Influence: Shape the strategy for Acquiring Products by identifying product and marketing opportunities based on data insights. End-to-End Analytics Projects: Lead analytics projects from beginning to end including problem definition, hypothesis framing, stakeholder alignment, insight delivery, and storytelling. Deep-Dive Analyses: Conduct in-depth analyses of the merchant lifecycle, including acquisition, activation, engagement, retention, pricing sensitivity, and churn triggers to inform product and marketing strategies. KPI Definition & Monitoring: Define and monitor key performance indicators (KPIs) for new product launches and ongoing performance to ensure alignment with impact metrics. Collaboration with Cross-Functional Teams: Partner with Product, Marketing, and Finance teams to uncover growth opportunities, measure performance, and provide data-driven recommendations for product strategy. Advanced Data Analysis: Use SQL and Python to explore large datasets, conduct statistical analyses, build segmentations, and test hypotheses. Innovation & Scalability: Proactively identify new areas for analytics contribution. Introduce fresh ideas, scalable analytical frameworks, and approaches to enhance the overall impact of data insights. Mentorship & Advocacy: Coach other analysts and stakeholders, fostering a culture of data-driven decision-making and elevating the business s analytical maturity. Data Storytelling: Translate complex data into clear, actionable business stories and visualizations using tools like Looker or other BI tools. What We Are Looking For Experience 10+ years of analytics experience, preferably in a high-growth product or SaaS company. Proven track record in product analytics, particularly within the merchant acquiring or digital payments domain. Strong Analytical Skills Expertise in SQL for complex querying and Python for data analysis or prototyping. Strong understanding of merchant lifecycle analytics, including acquisition, activation, engagement, and retention metrics. Strategic & Commercial Mindset Deep understanding of how to use data to optimize pricing, target specific customer segments, and drive product performance. Ability to prioritize initiatives based on business impact and alignment with strategic goals. Influence & Leadership Proven ability to influence senior stakeholders and drive change without direct authority. Comfortable in high-autonomy, high-impact environments, taking the initiative and owning outcomes. Communication Skills Ability to convert complex data into clear, compelling narratives that resonate with both technical and non-technical stakeholders. Proficiency in using BI tools (Looker, Tableau, etc.) to visualize and communicate insights effectively. Self-Motivation A self-starter who can work independently, take initiative, and lead multiple projects simultaneously. What You ll Get In Return Competitive Salary: Competitive compensation and performance-based bonuses. Health Insurance: Self & family health insurance along with OPD benefits. Life & Accident Insurance: Comprehensive protection with term & life insurance. Mental Wellbeing: Access to Plumm, a mental wellbeing platform for therapy sessions and courses. Learning & Development: An annual budget for courses, books, and coaching to help you grow. Stock Options: Equity options that allow you to benefit from Tide s future success. Work From Home Setup: A contribution toward setting up your home office. Time Off: 15 days of privilege leave, 12 days of casual leave, 12 days of sick leave, and 3 paid days off for volunteering or L&D activities. At Tide, we re Member First, Data Driven, and One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We embrace flexible working hours, trust our employees to manage their own schedules, and foster a collaborative, supportive team culture.

Software Development Manager Experience: 8+ Years Location: Bangalore Company: Kaleidofin About Us Kaleidofin is a mission-driven fintech platform committed to delivering financial solutions for underserved communities. Our proprietary ki credit platform combines advanced credit health analytics, middleware integration, risk dashboards, and debt capital structuring empowering financial institutions to serve low-income customers, informal sector businesses, and MSMEs more effectively. Operating across India, Bangladesh, and Kenya, we ve already impacted over 6 million customers, enabling over $3 billion in debt capital for underserved communities. Backed by global investors including the Gates Foundation, Omidyar Network, and Blume Ventures, Kaleidofin is recognized as a leader in inclusive finance. Featured on Forbes Asia's "100 to Watch" Winner of RBI s Swanari TechSprint 2023 Winner of G20 TechSprint 2024 by BIS Certified as a Great Place to Work Role Overview As a Software Development Manager, you will play a key leadership role in shaping the technical roadmap and executing high-impact fintech products. You ll lead a team of engineers to build scalable, secure, and robust systems. This is a hands-on leadership role requiring active involvement in design, architecture, and code-level decisions. What You ll Do Own the product s engineering roadmap, architecture, scalability, and code quality. Guide system design decisions and lead architecture/code reviews. Collaborate closely with Product and Business teams to align on product strategy and feature development. Provide hands-on technical leadership especially in solving complex problems in fintech and lending domains. Mentor and develop engineering talent; foster a culture of ownership, innovation, and quality. Champion engineering best practices including test automation, CI/CD, and DevOps. Lead the adoption of data-driven practices including Big Data, PySpark, and data pipeline architectures. Balance short-term deliverables with long-term technical sustainability and scalability. Support team growth through career development, learning plans, and succession planning. 8+ years of software development experience, with 1 2+ years in people/team management roles. Strong fundamentals in computer science, system design, and problem-solving. Bachelor's or Master's degree in CS or related field from a top engineering institution (IITs, NITs, etc.). Proven experience building distributed, scalable, and secure systems. Strong hands-on experience with Python, Java, Spring Boot, and microservice architectures. Proficient in SQL/NoSQL, Kafka, CI/CD pipelines, and DevOps tools (Docker, Kubernetes, Jenkins, etc.). Familiarity with AI/ML model integration and credit scoring systems is a strong plus. Experience with data engineering: Big Data, Spark, Airflow, AWS stack (S3, Glue, Athena), etc. Knowledge of front-end and mobile (Android) development is a plus. Experience working in fintech, lending tech, or high-growth startup environments preferred. Excellent leadership, communication, and cross-functional collaboration skills. Be part of a high-impact team driving financial inclusion at scale. Work on cutting-edge technology in fintech and data infrastructure. Grow with a company that s winning global recognition and delivering real-world impact. Contribute to a people-first culture that values learning, innovation, and work-life balance. Qualification : Bachelor's or Master's degree in CS or related field from a top engineering institution

Position Title: Data Architect Department: R&D Engineering Location: Bangalore Experience: 15+ Years Industry: SaaS / Conversational Engagement / Customer Experience Technology About Acqueon: Acqueon is a leading provider of conversational engagement software that enables customer-centric enterprises to proactively engage with their customers across voice, messaging, and email channels. By leveraging a powerful data platform, predictive models, and intelligent workflows, we help brands enhance customer experience, improve collections, and drive revenue growth. With over 200 global clients, Acqueon is at the forefront of AI-powered customer engagement. Role Overview: We are seeking a visionary and technically hands-on Data Architect to lead the development of enterprise-scale data platforms and engineering solutions. You will work closely with Product Owners, Engineering Leadership, and cross-functional teams to define and execute a strategic technology roadmap aligned with Acqueon s business goals. As a key member of our R&D team, you ll lead the design and development of highly scalable, low-latency, fault-tolerant data systems, while mentoring top-tier engineering talent and driving high-impact product features. Key Responsibilities: Architect & Lead: Design and lead development of scalable data architectures and solutions supporting real-time and batch processing, analytics, and enterprise applications. Strategic Ownership: Define and implement the data strategy, technology roadmap, and long-term architecture vision for Acqueon s platforms. Leadership: Manage and mentor a team of senior developers and engineers, fostering innovation, ownership, and delivery excellence. Cross-functional Collaboration: Work with Product, Sales, Engineering, and Customer teams to align on feature development and delivery strategy. Project Management: Oversee the end-to-end delivery of complex features, ensuring adherence to timelines, scalability, and quality standards. System Design: Review architecture and design for robustness, performance, and fault tolerance, including multi-region, high-availability setups. R&D Enablement: Collaborate with international R&D teams and align development efforts across global product initiatives. Innovation & Optimization: Drive architectural decisions, recommend performance improvements, and ensure best practices for enterprise-scale data solutions. Required Skills & Experience: Education: Bachelor s or Master s in Computer Science, IT, or related field. Experience: 15+ years in software development and data architecture, with leadership experience in managing engineering teams. Architecture Expertise: Proven experience in designing scalable, concurrent, distributed, and highly available data systems. Database Proficiency: Strong in SQL/NoSQL databases Experience with MS SQL, Aerospike, DynamoDB, Snowflake In-depth knowledge of micro-partitions, cluster keys, warehouse cloning, time travel in Snowflake Strong in writing and tuning complex stored procedures ETL & Pipelines: Experience in building ETL pipelines and integrating data from S3, Kinesis Streams, APIs Cloud & DevOps: Strong understanding of Docker, AWS, and cloud-native deployment architectures Setting up multi-region resilience, disaster recovery strategies Technologies: Elasticsearch, AWS data services, container orchestration Big Data & Analytics: Exposure to analytical processing and statistical modeling is a plus Leadership: Strong project management skills, stakeholder engagement, and team mentoring experience Preferred Qualifications: Background in customer engagement, VDI, Cybersecurity, or Secure Access technologies Previous experience working with distributed R&D and product teams Knowledge of Acqueon, Citrix, VMware, Omnissa platforms is a plus Certifications in AWS, Snowflake, or similar technologies are an advantage Soft Skills & Behavioral Traits: Strong verbal and written communication skills Strategic thinking with hands-on execution ability High accountability and ownership mindset Ability to work in a fast-paced, dynamic, startup-like environment Comfortable with ambiguity and context-switching Team player with the ability to lead by influence and collaboration Be a part of a fast-growing, AI-driven SaaS company disrupting the customer engagement space Work on cutting-edge technologies with global product teams Ownership of end-to-end solutions and ability to shape the data platform of the future A culture that promotes innovation, agility, and career growth

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: Manager - Analytics Location: SEZ4, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 6 to 9 years Job Overview: We are seeking an experienced Manager - Analytics to lead a team of talented data scientists in delivering impactful data-driven solutions. The ideal candidate will have a solid background in analytical methodologies, including machine learning, statistical modeling, and business analytics. You ll be responsible for collaborating with business stakeholders, driving the design and development of advanced analytics models, and ensuring the delivery of high-quality insights that support strategic decision-making. Key Responsibilities: Analytical Methodology: Research, evaluate, and implement new analytical methodologies and approaches to build innovative data-driven solutions. Utilize a blend of mathematics, statistics, machine learning, and business knowledge to solve complex problems. Business Collaboration: Work closely with business leaders and data owners to define key problems and challenges, ensuring the solutions developed have a significant impact on the business. Team Leadership: Lead and mentor a team of junior data scientists, guiding them through the development, deployment, and refinement of machine learning models in a production setting. Advanced Modeling: Utilize a wide range of analytical models, including reliability models, Markov models, stochastic models, Bayesian modeling, classification models, neural networks, and more to address business challenges effectively. Hands-On Expertise: Apply strong hands-on skills in R and Python, using libraries such as NLTK and Sklearn for developing machine learning models and data analysis. Large Data Management: Work with large datasets and distributed computing frameworks like MapReduce, Hadoop, and Hive, ensuring scalable and efficient data processing. Continuous Improvement: Stay up to date with the latest advancements in analytics and machine learning, continually enhancing models and methodologies to deliver cutting-edge insights. Required Technical Skills: Hands-on Experience in Python & R: Strong proficiency in R and Python programming, with experience in libraries such as NLTK, Sklearn, and other machine learning frameworks. Advanced Statistical & Machine Learning Techniques: Proven expertise in at least one of the following: Reliability models Markov Models Stochastic models Bayesian Modelling Classification Models Cluster Analysis Neural Networks NLP (Natural Language Processing) Deep Learning Non-parametric Methods Multivariate Statistics Big Data Tools: Experience working with large datasets and distributed computing platforms such as MapReduce, Hadoop, Hive, etc. Soft Skills: Leadership & Collaboration: Strong leadership skills with the ability to mentor a team of junior data scientists. Excellent collaboration and communication skills to work with business and technical teams. Problem-Solving & Critical Thinking: Ability to approach complex business problems analytically and come up with data-driven solutions. Continuous Learning: A passion for staying up to date with the latest trends and advancements in analytics, machine learning, and data science. At Subex, you ll have the opportunity to work on cutting-edge projects that make a tangible impact on the business. If you're passionate about leading analytics teams and leveraging data science to drive business success, we would love to have you on board.

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 Manager Location: Bangalore North, Karnataka, India Job Type: Full-Time Industry: Mobile Gaming / Entertainment About Us We are one of India s fastest-growing and most exciting mobile gaming companies. Founded in 2014, in partnership with Modern Times Group (MTG), our vision is to create simple, impactful casual game experiences at a massive scale. We have built a global network of chart-topping games supported by powerful tech and analytics infrastructure. Our product portfolio includes evergreen hits like Daily Themed Crossword, WordTrip, WordJam, WordWars, WordTrek, TileMatch, and Jigsaw. Position Summary PlaySimple Games is seeking an experienced Senior Product Manager to own and drive the entire product lifecycle for our games. This is a hands-on leadership role involving end-to-end ownership of the product roadmap, strategic planning, and cross-functional collaboration to ensure the continued success of our products. Key Responsibilities Full Product Lifecycle Management: Lead product vision, competitive analysis, requirements gathering, feature prioritization, roadmap planning, and partner alignment. Strategy & Collaboration: Develop and drive product strategy and specifications, working closely with game teams to meet product goals. Performance Metrics: Define KPIs and measure product success using qualitative insights and quantitative data to inform decisions. Customer Needs & Feedback: Deeply understand player needs and create continuous feedback loops with product and engineering teams for iterative improvement. Integration Recommendations: Collaborate with product and engineering leads to recommend optimal integration solutions tailored to game teams. Team Development: Train, mentor, and manage a team of Product Managers and Business Analysts, supporting their growth and development. Product Evangelism: Advocate for product value internally and externally, articulating how our products solve user challenges. Competitive Analysis: Analyze competitors and market trends to generate actionable insights that shape the product roadmap. Cross-Team Collaboration: Work closely with product, engineering, and design teams within Central Technology to drive innovation and foster a positive work culture. Requirements Experience: 6-8 years in product management, preferably with digital products, games, or mobile apps. Consumer Product Expertise: Background in web/mobile consumer products, user acquisition, and growth strategies is highly preferred. Product Management Skills: Proven ability to build successful products that meet customer needs and business objectives. Strategic Judgment: Strong decision-making skills with the ability to develop clear, measurable objectives aligned to business goals. Data-Driven: Experience applying lean, data-driven principles; familiarity with data analytics and SQL is a plus. Project Management: Exceptional organizational skills with experience presenting to executive leadership. Technical Proficiency: Skilled in creating wireframes, product specs, and documentation. Communication: Excellent written and verbal communication skills with high attention to detail. Self-Starter & Team Player: Proactive, driven, and collaborative with a passion for product excellence.

Vice President (VP), Product Management Tableau | Bangalore, India Full-Time | Product Management | Salesforce Lead Product Innovation for Tableau s Analytics Portfolio & Drive Customer Success Salesforce is seeking a visionary Vice President of Product Management for our Tableau product portfolio. In this strategic leadership role, you will own the end-to-end product lifecycle, driving innovation, execution, and customer value across Tableau s analytics and AI-driven offerings. As the India site leader for Product Management, you ll foster a collaborative, customer-centric product culture while partnering closely with global teams, sales, marketing, and engineering to accelerate growth and deliver next-generation analytics experiences. What You ll Do Lead and scale a high-performing team of product managers across Hyderabad and Bangalore, guiding the full product lifecycle from market research and vision setting to agile execution and go-to-market enablement Define and drive the Agentforce product strategy, leveraging Salesforce AI & automation capabilities to deliver autonomous, agentic analytics that enhance decision-making and user productivity Act as the India product management site leader, aligning regional efforts with global Tableau and Salesforce Analytics strategies to build a cohesive product culture Collaborate with cross-functional leaders, including engineering and sales, to foster innovation, increase velocity, and improve product quality Champion customer-focused product design by translating feedback and use cases into actionable, measurable solutions Build strategic customer relationships to validate concepts, gather insights, and ensure customer success Stay ahead of industry trends in analytics, BI, AI, and data platforms to drive competitive differentiation and identify new opportunities Deliver compelling product narratives and demos to internal teams, customers, and executives, clearly articulating Tableau s value proposition Promote a culture of experimentation and data-driven decision making using A/B testing, telemetry, and user research Mentor and develop emerging product leaders, fostering growth in product thinking, technical expertise, and leadership What You ll Bring 15+ years of product management experience, ideally in Analytics, Data, or AI-driven software products Proven ability to lead and inspire global, cross-functional product teams from inception through scale Strong people leadership skills, with a track record of building creative, collaborative teams and aligning performance with business goals Exceptional organizational, analytical, and communication skills, with experience in senior business discussions Willingness to travel regularly between Hyderabad and Bangalore, plus biannual visits to the US Deep passion for building customer-centric products and mentoring future product leaders Experience driving product vision and roadmap in complex, fast-paced environments Work at the forefront of analytics innovation with Tableau and Salesforce AI Be a key leader in a fast-growing product organization with significant impact on global strategy Thrive in a culture driven by collaboration, mentorship, and Salesforce s core values Access world-class learning, leadership coaching, and career development opportunities Competitive compensation and comprehensive benefits

Job Title: Staff Machine Learning Engineer Location: Bengaluru, Karnataka, India Job Type: Full-Time (Hybrid Work Model) Experience Level: 6-10+ Years About Eightfold.ai: At Eightfold.ai, we re revolutionizing the way organizations find, manage, and empower talent. As a leader in AI-driven HR tech, our groundbreaking platform is transforming industries by using artificial intelligence to solve talent management challenges at scale. We are looking for exceptional engineers to join our team and be at the forefront of innovation in the field of AI. About the AI/ML Team: The AI/ML team at Eightfold is passionate about building cutting-edge solutions and pushing the boundaries of applied machine learning. We work with massive datasets and tackle complex, real-world challenges to develop state-of-the-art AI models. Our models are transforming how companies approach talent management, and we are looking for a Staff Machine Learning Engineer to help lead this journey. What You Will Do: As a Staff Machine Learning Engineer, you will play a critical role in leading and inspiring our ML team while architecting and implementing scalable, robust ML pipelines for our core products. Lead and Inspire: Mentor and guide a team of talented ML engineers, fostering a collaborative environment that encourages innovation. Architect and Implement: Design and build scalable ML pipelines that power Eightfold s core products. Innovate and Optimize: Develop novel algorithms and continuously enhance the performance, accuracy, and scalability of our models. Solve Complex Problems: Work on challenging real-world problems, including NLP, recommendation systems, and predictive analytics. Stay Ahead of the Curve: Research and implement cutting-edge techniques in deep learning, reinforcement learning, and other emerging fields. LLM & NLP Expertise: Design and implement scalable solutions using Large Language Models (LLMs), fine-tuning them for specific NLP tasks, and developing LLM-powered applications. What You Bring: Required Skills & Experience: Deep Expertise in ML & AI: Strong foundation in Machine Learning, Deep Learning, and Natural Language Processing (NLP) with a proven track record of developing and deploying ML models at scale. Technical Leadership: Experience leading and mentoring teams, with excellent communication and collaboration skills. Problem-Solving Mindset: Ability to analyze complex problems and develop innovative solutions. Passion for AI: Genuine enthusiasm for pushing the boundaries of AI and its real-world applications. Advanced Skills in Python & ML Frameworks: Proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch), along with experience in big data technologies like Hadoop and Spark. CS Fundamentals & Coding: Strong foundation in computer science fundamentals and coding languages (Python, C/C++, Java, Scala, R). GenAI & LLM Expertise: Experience in developing and deploying LLM-powered applications, with knowledge of LLM fine-tuning techniques, optimization strategies, and ethical considerations. Nice to Haves: 6-10+ years of experience in Machine Learning and AI. MS or PhD in Computer Science or related field. Publications in top-tier AI conferences. Contributions to open-source ML projects. Familiarity with Generative AI (GenAI), Transformers, and LLMs. Impactful Work: Play a pivotal role in shaping the future of AI and its applications in talent management. Innovative Environment: Work on cutting-edge projects with world-class experts in the field of AI/ML. Career Growth: Accelerate your career in a dynamic, fast-paced environment with abundant opportunities for professional growth. Hybrid Work Model: Embrace a flexible work environment with the ability to collaborate remotely and in-person at our Bengaluru or Noida offices twice a week starting February 1, 2024. Competitive Benefits: Comprehensive family medical, vision, and dental coverage, a competitive base salary, equity awards, and discretionary bonuses or commissions. How to Apply: If you're a passionate AI/ML engineer ready to take on challenging problems and make a meaningful impact, we d love to hear from you. Join Eightfold.ai and help shape the future of AI-powered talent intelligence! Qualification : MS or PhD in Computer Science or a related field

Job Title: Director / Sr Manager - Platforms Location: Bangalore, Karnataka, India Job Type: Full-Time (Hybrid Work Model) Experience Level: 10+ Years About Eightfold.ai: At Eightfold.ai, we are revolutionizing how organizations manage talent by leveraging the power of artificial intelligence. Our cutting-edge AI platform is transforming the way businesses hire, develop, and retain talent. By utilizing AI to understand individual skills and potential, we re solving the fundamental problem of matching people with the right opportunities. We are looking for a visionary engineering leader to drive the growth of our Core Infrastructure Team in India, shaping the foundation of our AI platform. About the Core Infrastructure Team: The Core Infrastructure Team at Eightfold is the backbone of the organization, responsible for the architecture, maintenance, and enhancement of critical infrastructure elements that support our entire technology stack. Our team builds and maintains systems for Search, Databases, Machine Learning Infrastructure, Data Warehouses, Developer Platforms, and Application Infrastructure. We ensure the scalability, security, and reliability of these services, which underpin every product that we offer to our users and customers. What You ll Own & Drive: As the Director / Sr Manager - Platforms, you will lead the technical direction for Eightfold's infrastructure, security, and analytics platforms, ensuring they meet the needs of our growing enterprise-scale business. Vision & Roadmap: Lead the strategy, roadmap, and execution of the Infrastructure, Security, and Analytics platforms. Team Building: Hire, mentor, and lead a high-performing engineering team, fostering a culture of innovation, excellence, and autonomy. Cross-Functional Collaboration: Partner with Product, Data, and DevOps teams to build secure, scalable systems that support business growth. Infrastructure Scaling: Ensure reliability, availability, and performance across both cloud (AWS, GCP) and on-prem environments. Security Leadership: Define and enforce security protocols, including threat modeling, vulnerability management, and compliance frameworks (SOC2, ISO27001, etc.). Operational Excellence: Champion modern engineering practices, including CI/CD, observability, and cost optimization. Analytics Platform Development: Lead the creation and scaling of an end-to-end Analytics Product stack including data warehouse, query engine, and dashboards. Ownership & Impact: Take ownership of the full product/technology lifecycle from vision, architecture, and deployment, ensuring long-term impact and success. What You Bring: Required Skills & Experience: 10+ Years of Engineering Experience: Significant experience in engineering with at least 3+ years in a leadership role leading teams at scale. Expertise in Cloud Infrastructure: Deep expertise in cloud-native infrastructure (AWS, GCP, etc.) and DevSecOps principles. Proven Success in Platform Scaling: A track record of building and scaling secure, reliable platforms at an enterprise level. Security Expertise: Leadership in security initiatives, including threat modeling, vulnerability management, and compliance. Excellent Communication: Strong communication skills, with the ability to influence and collaborate across engineering and business teams. Bonus Experience: Exposure to scaling analytics stacks (Snowflake, dbt, Airflow, Looker, etc.) is a plus. Leadership & Culture Building: Demonstrated success in building high-caliber teams and cultivating a thriving engineering culture. Impactful Leadership: Take on a high-leverage leadership role that shapes the foundation of Eightfold's AI platform and directly impacts the company s growth and success. Innovative Environment: Work with cutting-edge technologies and collaborate with brilliant minds to solve complex engineering challenges. Career Growth: As a leader at Eightfold, you will have the autonomy to drive strategic initiatives while building and scaling high-performing teams. Hybrid Work Model: Enjoy a flexible hybrid work model with the ability to work remotely while maintaining a strong in-office presence for team collaboration starting February 1, 2024. Comprehensive Benefits: Competitive salary, comprehensive family medical coverage, and eligibility for equity awards and discretionary bonuses or commissions. How to Apply: If you're a visionary engineering leader with a passion for building scalable, secure platforms and leading high-performing teams, we want to hear from you. Join Eightfold.ai and help us redefine how companies build, hire, and retain their workforce using AI-powered talent intelligence. Equal Opportunity Employer: Eightfold.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability.

Lead Data Scientist Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company creating service intelligence products that are transforming industries such as high-tech devices, manufacturing, and medical devices. Backed by top Silicon Valley venture capitalists and an esteemed group of angel investors, we are recognized as a startup to watch. Our AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds. By analyzing structured and unstructured data, alongside insights from leading experts, we empower service leaders to improve key metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you'll be part of a dynamic and innovative team that is redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. Our goal is to lead the AI revolution in service decision-making, and we want you to be a part of that journey. About the Team As a Lead Data Scientist, you ll play a pivotal role in designing, developing, and deploying NLP-driven solutions for processing and analyzing large volumes of unstructured data. Your deep technical expertise will help launch AI products that directly impact users. You ll also mentor junior team members, ensuring technical excellence and fostering growth within the team. You'll collaborate closely with cross-functional teams and customers to solve complex challenges and create impactful AI solutions. What You ll Do: Lead NLP Development: Oversee the development and deployment of NLP-based solutions for processing and analyzing unstructured data at scale. Machine Learning Model Development: Design, train, and optimize machine learning models using popular libraries such as PyTorch, NLTK, and Scikit-learn. Cloud Deployment: Architect and deploy AI/ML products on cloud platforms such as Azure, GCP, or AWS. Collaboration: Work with data engineering teams to ensure seamless integration of AI models into production systems. Data Analytics: Perform advanced SQL analytics to extract actionable insights from structured datasets. Mentorship: Guide and mentor junior data scientists, fostering a culture of technical excellence within the team. Customer Engagement: Work closely with customers to understand their needs and translate those into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Stay Current: Keep up-to-date with the latest advancements in NLP and machine learning to ensure best practices and cutting-edge solutions are applied. What We re Looking For: Experience: Minimum 10 years of experience in data science, specifically focused on NLP and unstructured data processing. Track Record: Proven experience in launching NLP-driven products to live users. Technical Expertise: Expertise in Python and libraries such as PyTorch, NLTK, and Scikit-learn. Hands-on experience with Transformer-based models (e.g., BERT, GPT). Cloud Proficiency: Strong experience with cloud platforms like Azure, GCP, or AWS for hosting and deploying AI/ML products. Data Engineering Knowledge: Familiarity with data engineering pipelines and best practices for scalable AI model deployment. SQL Proficiency: Proficient in SQL for data manipulation and advanced analytics. Problem-Solving: Excellent problem-solving skills with a strong ability to work with large-scale datasets. Leadership & Communication: Strong interpersonal and communication skills, with the ability to mentor team members and interact effectively with customers. Preferred Skills: MLOps Knowledge: Understanding of MLOps practices for model deployment, monitoring, and lifecycle management. Data Processing Tools: Familiarity with tools like Airflow, Spark, or similar frameworks for data processing. Customer-Facing Experience: Background in working with customer-facing applications and APIs to deliver AI-powered solutions. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making using advanced AI technology, and we are committed to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Hybrid work model with flexibility to work from our vibrant Bengaluru office Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about building innovative AI-driven solutions and want to be part of a forward-thinking team, we d love to hear from you!

Job Title: Azure Infrastructure Architect Location: Bengaluru, Karnataka, India Department: Engineering About CloudSEK CloudSEK is one of India s leading cybersecurity product companies, focused on leveraging Artificial Intelligence and Machine Learning to identify and resolve digital threats in real-time. With a strong portfolio of products like CloudSEK XVigil, BeVigil, and SVigil, we provide advanced solutions for attack surface monitoring, cybersecurity risk management, and software supply chain protection. We are headquartered in Singapore and have expanded rapidly across India, Southeast Asia, and the Americas. At CloudSEK, we prioritize innovation, agility, and building impactful products that keep our customers ahead of emerging cybersecurity threats. About the Role: Azure Infrastructure Architect CloudSEK is looking for an Azure Infrastructure Architect to design, implement, and optimize cloud infrastructure solutions on Microsoft Azure. The ideal candidate will have deep expertise in Azure services, infrastructure automation, and security best practices, with a strong background in cloud architecture patterns. You will work closely with various stakeholders to align cloud strategies with business objectives, ensuring high availability, security, and scalability of enterprise applications. Key Responsibilities Cloud Architecture & Design: Design and implement highly scalable, resilient, and secure cloud infrastructure solutions on Microsoft Azure. Develop cloud adoption strategies, migration plans, and hybrid cloud architectures to meet business needs. Create architecture blueprints, reference architectures, and best practices tailored to Azure environments. Ensure compliance with the Azure Well-Architected Framework and other industry standards. Infrastructure & Automation: Architect and automate Infrastructure as Code (IaC) using tools like Terraform, ARM templates, Bicep, and Ansible. Implement CI/CD pipelines for infrastructure deployment using Azure DevOps, GitHub Actions, or Jenkins. Automate cloud operations, monitoring, and governance using Azure Automation, PowerShell, and Python. Security & Compliance: Design and enforce Azure security best practices including Azure Policy, RBAC, NSGs, Key Vault, Defender for Cloud, and Sentinel. Ensure adherence to regulatory frameworks like ISO 27001, SOC 2, GDPR, and HIPAA. Perform threat modeling, risk assessments, and define zero-trust architectures. Networking & Hybrid Cloud: Design and optimize Azure Virtual Networks (VNet), ExpressRoute, VPN Gateway, and Load Balancers for seamless operations. Implement hybrid cloud architectures, integrating on-premises data centers with Azure via Azure Arc. Optimize network performance, DNS, CDN, and traffic routing in cloud-native environments. Performance Optimization & Cost Management: Leverage Azure Cost Management to implement cost-effective cloud solutions and manage reserved instances. Optimize cloud resource utilization using Autoscaling, VM sizing, and Serverless computing models. Define and implement cloud governance policies to control costs and improve operational efficiency. Collaboration & Stakeholder Engagement: Collaborate with DevOps, Security, and Application teams to align infrastructure solutions with business needs. Provide technical leadership and guidance to engineering teams, ensuring alignment with industry trends and best practices. Act as a trusted advisor to leadership on cloud strategies, emerging technologies, and technical decision-making. Required Skills & Qualifications Technical Expertise: Azure Services: Experience with Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, Azure SQL, CosmosDB, and Azure Networking (VNet, NSG, VPN, ExpressRoute). Automation & IaC: Expertise in Terraform, ARM Templates, Bicep, Ansible, PowerShell, Python. DevOps & CI/CD: Knowledge of Azure DevOps, GitHub Actions, Jenkins, Kubernetes, Docker. Security & Compliance: Familiarity with Azure Security Center, Azure AD, Key Vault, Microsoft Defender for Cloud, Sentinel, and Zero Trust Model. Networking & Hybrid Cloud: Experience with ExpressRoute, Load Balancers, Private Link, Virtual WAN, Azure Arc. Monitoring & Logging: Proficiency with Azure Monitor, Log Analytics, Prometheus, and Grafana. Cloud Migration: Hands-on experience in cloud migrations using Azure Migrate, including planning and execution. Soft Skills: Strong problem-solving and analytical abilities. Excellent communication and stakeholder management skills. Ability to work in agile environments and across cross-functional teams. A passion for continuous learning and staying updated with the latest Azure technologies. Preferred Qualifications: Azure Certifications such as Azure Solutions Architect Expert (AZ-305), Azure Security Engineer (AZ-500), or Azure DevOps Engineer (AZ-400). Experience with multi-cloud environments (AWS, GCP). Familiarity with database technologies (SQL, NoSQL, PostgreSQL, MySQL). Location Bengaluru, Karnataka, India Education/Qualification Bachelor s degree in Engineering or Technology (B.Tech/BE). Years of Experience 10 to 15 years of professional experience in cloud infrastructure and architecture design. Be part of a fast-growing startup where you can make a direct impact. Competitive salary and a comprehensive benefits package. Access to cutting-edge technologies and continuous learning opportunities. Flexible working hours and a collaborative work culture focused on innovation and growth. If you're an experienced Azure Infrastructure Architect passionate about designing and optimizing cloud solutions with Microsoft Azure, we would love to hear from you! Join CloudSEK and be part of a forward-thinking team revolutionizing the cybersecurity landscape. Qualification : Bachelors degree in Engineering or Technology (B.Tech/BE).

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).

Product Manager | FinBox | Bengaluru Location: Bengaluru Experience: 8-10 Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, a hub of innovation and creativity transforming the financial services space. Since 2017, we ve helped lenders like Banks, NBFCs, and enterprises build and launch credit products in a fraction of the time it used to take. As a Series A funded company, FinBox is expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our vision is to provide world-class infrastructure for lending products, helping financial institutions scale and launch cutting-edge credit programs. We have already helped our customers disburse billions in unsecured and secured credit products, and our solutions impact millions of customers globally every month. Innovative Environment: We encourage creativity and experimentation to push the boundaries of fintech. Impactful Work: Your contributions will directly impact millions by making credit more accessible. Growth Opportunities: We offer ample opportunities for professional growth in a fast-paced startup. Collaborative Culture: Join a diverse team that values innovation, collaboration, and support. Creative Thinkers: You challenge the norm and bring fresh perspectives. Customer Heroes: You go above and beyond to meet customer needs and deliver great experiences. Team Players: You thrive in collaborative environments, valuing diverse viewpoints. About the Product - FinBox LOS for NSTP Lending Our Lending Origination System (LOS) caters specifically to NSTP flows and manual underwriting, optimizing business processes through efficient configurations, intelligent automation, and improved team collaboration. This solution is adaptable across multiple lending use cases, including secured lending, high-ticket business loans, small-ticket loans, home loans, and more. Role and Responsibilities Product Strategy & Management Align with founders on business strategy and vision. Devise a product strategy that supports both short-term and long-term business priorities. Translate strategic goals into a detailed product roadmap, including APIs, user journeys, back-office dashboards, and analytics. Supervise the execution of the product roadmap, ensuring timely and efficient delivery. Collaborate with marketing teams on positioning, messaging, and product marketing strategies. Business Strategy Build and nurture relationships with stakeholders from LSPs, Banks, NBFCs, and FinTechs. Participate actively in the sales cycle through product demos, solution design, and stakeholder engagement. Engage senior business stakeholders through demos, sales calls, webinars, and events. Leadership Lead and mentor Associate Product Managers (APMs) and manage sprint cycles effectively. Collaborate with Engineering Managers to ensure excellent delivery and maintain delivery hygiene. Foster cross-functional collaboration to ensure alignment and smooth execution of product plans. Technical Leadership Oversee technical debt and infrastructure priorities, ensuring they align with the roadmap. Collaborate with Engineering Managers and technical teams to design scalable systems for future growth. Qualifications Experience: 8+ years of professional experience, including 5+ years specifically in Product Management roles. Domain Knowledge: Direct experience with lending products, financial marketplaces, or B2B SaaS platforms. Expertise in Lending Operations: Understanding of credit products, partnership models (e.g., DSA, co-lending). Proven Track Record: Success in launching and scaling B2B products, API products, or tech products. Tech Savvy: Experience with financial services integration patterns and data flows. Communication Skills: Excellent ability to engage with both technical and business stakeholders. Leadership Experience: Demonstrated experience managing and leading teams. Compliance Knowledge: Familiarity with compliance considerations in financial services products is a bonus, but not mandatory. Work on innovative products in the dynamic fintech industry. Take ownership of cutting-edge solutions, making a tangible impact on global lending practices. Be part of a growing Series A startup with ample room for career growth.

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...

As a Manager of the Spark Technical Solutions team, you will lead & manage a team of Technical solution engineers and be responsible for driving deep dive technical solutions for any issues reported by Databricks customers. We expect the manager to resolve challenges with comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realise value and achieve their strategic objectives using our products. The impact you will have: As a manager and member of the leadership team, you will be directly responsible for the management of Technical solution engineers, team leads and operations personnel Responsible for directly monitoring, reporting, and driving improvements to team-level metrics and KPIs, acting as an escalation point with customers and internal teams, and optimising and developing support processes and tools Responsible for working across multiple cross functional teams that include Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers Regularly meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year Be a hands on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features Manage and drive best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers; contribute in the development of tools/automation initiatives Own Engineering JIRA tickets and proactively work to bring quicker resolutions to customer reported issues; participate in creation of knowledge base articles Participate in weekend and weekday on-call rotation and run escalations during databricks runtime outages, incident situations, ability to multitask and plan day 2 day activities and provide escalated level of support for critical customer operational issues, etc What we look for: Min 10-12 years of experience in designing, building, testing, and maintaining Python/Java/Scala/Spark based applications in a typical project delivery and consulting environments with 4+ years working as a Manager 5+ years of hands-on experience in developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Spark experience is mandatory Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale. Real time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis is preferred Working and hands-on experience with Data lakes and any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred Hands-on experience with AWS or Azure or GCP is preferred Experience in implementing CI/CD, Monitoring/alerting for Production Systems Technical lead in design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable Experience in leading and managing end-to-end projects and have reported and escalated to top levels Experience in managing and leading teams in an organisation involving multiple reporting lines Strong written and verbal communication skills; very good analytical, organisational, multi-tasking skills About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

As a Senior Manager of the Spark Technical Solutions team, you will lead & manage a team of Technical Solution Engineers (Spark) and be responsible for driving deep dive technical solutions for any issues reported by Databricks customers. We expect the manager to resolve challenges with comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realise value and achieve their strategic objectives using our products. The impact you will have: As a manager and member of the leadership team, you will be directly responsible for the management of Technical solution engineers, team leads and operations personnel Responsible for directly monitoring, reporting, and driving improvements to team-level metrics and KPIs, acting as an escalation point with customers and internal teams, and optimising and developing support processes and tools Responsible for working across multiple cross functional teams that include Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers Regularly meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year Be a hands on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features Manage and drive best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers; contribute in the development of tools/automation initiatives Own Engineering JIRA tickets and proactively work to bring quicker resolutions to customer reported issues; participate in creation of knowledge base articles Participate in weekend and weekday on-call rotation and run escalations during databricks runtime outages, incident situations, ability to multitask and plan day 2 day activities and provide escalated level of support for critical customer operational issues, etc What we look for: Min 10-12 years of experience in designing, building, testing, and maintaining Python/Java/Scala/Spark based applications in a typical project delivery and consulting environments with 4+ years working as a Manager 5+ years of hands-on experience in developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Big Data / Spark hands on-experience is mandatory Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale. Real time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis is preferred Working and hands-on experience with Data lakes and any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred Hands-on experience with AWS or Azure or GCP is preferred Experience in implementing CI/CD, Monitoring/alerting for Production Systems Technical lead in design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable Experience in leading and managing end-to-end projects and have reported and escalated to top levels Experience in managing and leading teams in an organisation involving multiple reporting lines About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About Databricks At Databricks, we are passionate about empowering data teams to solve the world s toughest challenges from creating the next mode of transportation to accelerating medical breakthroughs. We build and run the world s best data and AI infrastructure platform, enabling our customers to leverage deep data insights to transform their businesses. Founded by engineers and customer-obsessed, we thrive on solving technical challenges whether it's designing next-gen UI/UX for interacting with data or scaling our services and infrastructure across millions of virtual machines. And we re only getting started. The Opportunity As one of the first Engineering Managers in the Software Engineering team at Databricks India, you will lead a team of talented engineers to build infrastructure and products at scale for the Databricks platform. Our teams work across diverse domains, including: Resource Management Infrastructure: Power big data and machine learning workloads on a scalable, secure, and cloud-agnostic platform. Reliable, Scalable Services and Client Libraries: Handle massive amounts of data across multiple regions and cloud providers. Developer Tools: Help Databricks engineers operate services across different clouds and environments. Services and Infrastructure at the Intersection of Machine Learning and Distributed Systems. The Impact You Will Have Hire and grow a world-class engineering team, fostering a supportive and collaborative environment. Support engineers career development, providing regular feedback and cultivating future engineering leaders. Ensure high technical standards by implementing effective processes (e.g., architecture reviews, testing) and promoting a culture of engineering excellence. Collaborate with engineering and product leadership to define and execute long-term roadmaps. Coordinate execution and unblock cross-team projects, ensuring timely delivery and alignment with business objectives. What We Look For 12+ years of experience with large-scale distributed systems, including expertise in testing, monitoring, and defining SLAs. Proven track record as a Software Engineering Leader, with experience building and scaling engineering teams from the ground up. Extensive experience managing high-performing software engineering teams. Strong collaboration skills to partner with Product Management, Sales, and Customers in developing innovative features and products. BS (or higher) in Computer Science or a related field. About Databricks Databricks is the data and AI company, trusted by over 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and more than 50% of the Fortune 500. We help unify and democratize data, analytics, and AI through the Databricks Data Intelligence Platform. Headquartered in San Francisco, Databricks was founded by the original creators of Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, with offices across the globe. Qualification : BS (or higher) in Computer Science, or a related field.

About the job At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. Responsibilities Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products. Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and delivery of results to business partners and executives. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures,metrics, advocating for changes where needed for product development. Minimum qualifications: Master's degree in Statistics or Economics, a related field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference. Preferred qualifications: Experience translating analysis results into business recommendations. Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators). Experience selecting tools to solve data analysis issues. Experience articulating business questions and using data to find a solution. Knowledge of structural econometric methods. Qualification : Master's degree in Statistics or Economics, a related field, or equivalent practical experience.