Analytics Engineering Jobs in Gurgaon

Lead DevOps Engineer Location: Gurugram, India Type: Full-Time Experience: 2+ Years Category: Technology About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is India s leading enterprise software platform for financial advisors. We help top financial advisors manage and grow their clients investments through powerful digital solutions that process lakhs of transactions daily. If you want to be part of a team transforming how millions of Indians invest, this is your opportunity. Role Overview We are looking for a proactive and skilled Lead DevOps Engineer to own and improve our cloud infrastructure, CI/CD pipelines, monitoring systems, and overall deployment processes. You ll be a key player in automating workflows, ensuring production stability, and enabling our engineering team to deliver faster and more reliably. Key Responsibilities CI/CD Ownership: Manage and optimize CI tools (e.g., GitLab) and CD pipelines using Jenkins. Monitoring & Observability: Set up and maintain monitoring tools (e.g., Prometheus, Grafana, Datadog, Sentry, Elasticsearch) for logs, metrics, and traces. Automation: Write Bash/Shell scripts for deployment automation, analytics tasks, and alerting systems. System & Security: Secure environments with firewalls, VPNs, and tools like Cloudflare. Monitor system performance and address bottlenecks. Cloud & Infrastructure: Manage on-premise and cloud environments (AWS, Azure). Spin up and scale infrastructure using ELB and autoscaling. Incident Management: Conduct root cause analysis for system outages or performance issues. Database Operations: Manage permissions, performance, backups, and patching across MySQL, MSSQL, PostgreSQL, etc. Release Coordination: Work closely with developers and QA to ensure secure, smooth, and error-free deployments. Process Optimization: Define and implement efficient development, testing, release, and support workflows across environments. Required Skills & Experience 2+ years of hands-on experience in a DevOps or Systems Engineering role. Proficiency with AWS and Azure, including EC2, Load Balancers, and server orchestration. Experience with GitLab, Jenkins, and CI/CD pipeline creation. Strong knowledge of Bash scripting and automation. Experience with server migration (on-premise to cloud preferred). Proficient in configuring observability tools like Prometheus, Grafana, Datadog, Sentry, Elasticsearch. Understanding of security best practices and tools like Cloudflare. Solid database administration skills (MySQL, PostgreSQL, MSSQL). Proven track record of diagnosing and resolving production issues effectively. Nice to Have Exposure to containerization (e.g., Docker, Kubernetes). Familiarity with Infrastructure-as-Code (Terraform, Ansible). Experience working in Fintech or regulated environments. Perks & Benefits 5-day work week with flexible hours. Group medical insurance coverage up to 3 Lakhs. Free consultations with certified financial planners for your personal financial goals. Guidance and tools to help you begin your investment journey. Fun, collaborative culture with regular office activities. At Investwell, you ll be a part of the infrastructure backbone that empowers India s leading financial advisors. You'll work on real-time systems, drive mission-critical automation, and be empowered to make meaningful decisions every day. Join us to shape the future of fintech infrastructure in India.

Job Title: Senior Software Developer (SAP BusinessObjects) Location: Gurugram, India Job Type: Full-Time | Permanent About G+D For over 170 years, Giesecke+Devrient (G+D) has been a global leader in SecurityTech, delivering innovative solutions in Digital Security, Financial Platforms, and Currency Technology. We safeguard physical and digital currencies worldwide. Join us and help shape the future of secure payments and cash management. Role Summary As a Senior Software Developer (SAP BusinessObjects), you will design, develop, and test reports and dashboards for our Compass Cash Center product, which serves banks and cash-in-transit businesses globally. You will focus on SAP BusinessObjects data engineering, universe design, and report creation to provide actionable insights supporting cash management operations. You will collaborate closely with cross-site Scrum teams based in India and Germany. Key Responsibilities Design, implement, and test SAP BusinessObjects reports for cash management solutions. Develop and maintain data models and universe designs aligned with reporting requirements. Create custom Web Intelligence reports and interactive dashboards. Collaborate with stakeholders to gather and understand detailed reporting needs. Assist in effort estimation for new reports and enhancement projects. Troubleshoot and resolve report development and performance issues. Develop proof of concepts (PoCs) to validate reporting designs and assumptions. Provide user training and documentation for reporting tools and processes. Participate in continuous development process improvements. Required Skills & Qualifications Bachelor s degree in Computer Science or related field. 5+ years of experience developing reports using SAP Business Intelligence (SAP BO 4.x). Certification in Web Intelligence for Business Intelligence (BI) Analytics preferred. 2+ years of experience with RDBMS technologies (Oracle, SQL Server). Strong proficiency in SQL and experience with Java and .NET applications. Hands-on experience with SAP BO Administration and universe design. Familiarity with version control tools like Git and Azure DevOps. Excellent troubleshooting and debugging skills. Strong communication skills with experience in multicultural team environments. Our greatest asset is our people. We foster an inspiring and diverse workplace that values professionalism, human values, and continuous growth. Join our international team and help improve security for billions worldwide. Qualification : Bachelors degree in Computer Science or related field.

Job Title: Program & Strategy Manager CEO s Office Location: Gurugram, Haryana, India (Onsite, Full-Time) Experience: 3+ Years | Department: CEO s Office / Strategic Initiatives About Spyne At Spyne, we are redefining how cars are marketed and sold using cutting-edge Generative AI. What began as a bold idea to automate car visuals has evolved into a full-scale, AI-powered automotive retail ecosystem. We are backed by $16M in Series A funding from Vertex Ventures, Accel, and other top investors. In the last 15 months alone, we've expanded into the US and EU, launched industry-first AI image and 360 solutions, and achieved a 5x revenue surge with even greater growth ahead. Now, we re building a complete AI Retail Suite and scaling our footprint to 150K+ dealerships globally. Role Overview As a Program & Strategy Manager, you will work directly with the CEO s Office to lead and drive the adoption of Agentic AI (autonomous, goal-driven AI systems) across the organization. This includes Product, Engineering, Sales, Marketing, HR, Finance, Customer Success, and more. You ll be responsible for managing high-impact programs that integrate AI-driven automation into our operations, while also supporting strategic initiatives that align with Spyne s rapid growth and vision. What You ll Do Agentic AI Transformation Lead company-wide adoption of Agentic AI systems across key business functions Drive automation using tools like GPT-based agents, RPA, no-code AI platforms, and AutoML Define metrics to track AI-driven efficiency and performance improvements Work closely with Data & Engineering teams to integrate AI into existing workflows Conduct internal workshops to upskill teams on AI tools and practices Strategic Program Management Develop and execute strategic initiatives aligned with overall business objectives Own cross-functional programs focused on revenue growth, operational efficiency, and customer acquisition Track key business KPIs and ensure timely execution of high-impact priorities Support leadership with executive presentations, investor updates, and business reviews Work directly with the CEO on mission-critical business priorities Stakeholder & Team Collaboration Serve as the liaison between the CEO s office and all functional leaders Manage relationships with key AI vendors and partners (OpenAI, Microsoft, etc.) Enable adoption of AI across departments through communication and change management Build internal tools and dashboards for strategic visibility and impact tracking Experience & Background 3+ years in Program Management, Product Strategy, Business Ops, or similar roles Proven track record in managing cross-functional, strategic initiatives Strong experience in analytics (Excel, SQL, BI tools like Tableau, Looker, or Power BI) Technical Acumen Basic familiarity with LLMs and AI tools (OpenAI, Hugging Face, Anthropic, etc.) Ability to collaborate with AI/ML engineering teams and understand core technical concepts Strong understanding of business process automation and digital transformation Soft Skills Excellent communication and stakeholder management skills Strategic thinker with strong problem-solving abilities High ownership mindset and the ability to thrive in fast-paced, high-growth environments Why Join Spyne At Spyne, we re not just building AI products we re building the future of work. You ll be part of a driven, high-performance team in a company where speed, innovation, and ownership define our culture. What You ll Get: Opportunity to work directly with leadership on strategic initiatives Comprehensive health insurance (GMC, GPA, GTLI) Career growth with leadership exposure and equity options for top performers Office-first, high-energy environment that encourages real-time collaboration A young, driven team (average age: 25 26) working alongside seasoned professionals Our Values Customer Obsession: Every initiative is measured by the value it brings to customers Speed Over Perfection: Fast execution is key learn and iterate quickly Extreme Ownership: Own the outcomes, not just the process 10x Innovation: Think bigger and solve at scale A-Team Standards: We hire top talent and enable them to grow fast

Job Title: Customer Success Manager Location: Gurugram, Haryana (Onsite) Experience: 3 5 Years | Type: Full-Time About Spyne At Spyne, we are transforming the automotive retail industry with cutting-edge Generative AI solutions. With over 52 million cars sold annually in the US alone, our AI-powered imaging platform enables dealerships and marketplaces to create studio-quality visuals boosting engagement, footfall, and ultimately, sales. We re on a mission to become the leading AI software provider for the used-car market. From acquisition to appraisal, listing, marketing, and CRM Spyne aims to power every stage of the automotive retail journey with intelligent automation. Backed by Accel Partners, Storm Ventures, and other top investors, our team in Gurugram is scaling fast across the US and Europe, building impactful solutions for over 150K dealerships. About the Role: Customer Success Manager We are looking for a Customer Success Manager (CSM) with a proven track record in SaaS client management to own relationships, retention, and success for our US and EU customers. You ll serve as a trusted advisor to mid-market clients ensuring they unlock the full value of our platform and remain long-term partners. If you're a relationship-builder, data-driven thinker, and problem-solver who thrives in fast-paced environments, this is your opportunity to make a global impact. Key Responsibilities Client Relationship Management Own and nurture long-term relationships with mid-market clients across North America and Europe Serve as the main point of contact for a portfolio of customers, driving satisfaction and value realization Conduct regular QBRs, performance reviews, and check-ins to ensure goal alignment Account Growth & Retention Monitor account health and identify churn risks early, deploying proactive measures Spot and execute upsell and cross-sell opportunities in collaboration with the Sales team Ensure a seamless customer experience across onboarding, support, and renewals Data-Driven Insights & Strategy Analyze usage data, customer behavior, and feedback to uncover opportunities for growth and improvement Run customer satisfaction surveys (e.g., NPS) and translate insights into actionable product or process improvements Advocate for customer needs in internal roadmap discussions with Product and Engineering teams Tools & Operational Excellence Manage customer data and communication effectively using CRM tools like Salesforce, HubSpot, or similar Maintain accurate account records, ensuring consistency, reporting accuracy, and informed decision-making Cross-Functional Collaboration Partner with Product, Marketing, Sales, and Support teams to drive customer adoption and satisfaction Act as the voice of the customer, influencing product features, improvements, and support processes What You ll Bring 3 5 years of experience in Customer Success or Account Management within a SaaS company Proven success in managing mid-market clients across US and European regions Strong command of CRM systems (e.g., Salesforce, HubSpot) and analytics tools Excellent written and verbal communication skills with a customer-first mindset Strong problem-solving skills and the ability to handle escalations with tact and professionalism Familiarity with data-driven decision-making and success metrics Comfortable working in US time zones as needed (Preferred) Knowledge of the automotive SaaS space or experience supporting independent dealerships Fast-growth stage startup backed by top-tier global investors Work with a young, passionate team (average age: 25 26) led by seasoned professionals Best-in-class gender diversity in the AI tech industry Transparent, inclusive, and employee-first culture with near-zero attrition Excellent health, leave, and compliance-friendly policies Huge opportunity to grow 10x+ in your career as we scale across global markets If you're ready to take ownership of global customer relationships and drive real impact in a hyper-growth company, we d love to hear from you. Apply now and let s drive the next wave of automotive innovation together.

Job Title: Senior Data Engineer Location: Gurugram, Haryana, India Company: Builder.ai About Builder.ai At Builder.ai, we re transforming software development so that anyone regardless of technical expertise or budget can bring their software ideas to life. From startups to global enterprises like BBC, Makro, and Pepsi, we ve empowered thousands of customers around the world. With over $450M in Series D funding, including backing from Microsoft and QIA, and recognition from Fast Company as one of 2023 s Most Innovative Companies in AI, we are scaling rapidly and redefining what s possible in software and AI. Life at Builder.ai We believe in experimentation, ownership, and constant improvement. Our team of 800+ is spread across the globe but united by our shared HEARTT values: Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency. We reward your skills with: Stock options in a hyper-growth company International offsites Unlimited learning opportunities A culture that values diversity, innovation, and impact About the Role As a Senior Data Engineer, you'll be a foundational part of our growing Data & Analytics team. We're not just building pipelines we're engineering the data backbone for an entire platform that powers AI-driven software creation, operational intelligence, and customer solutions. This role will focus on building robust, scalable, and efficient data systems, and working with Data Scientists, Analysts, and Software Engineers to ensure our data infrastructure is best-in-class. What You ll Be Doing Own and operate end-to-end data pipelines across critical business domains Optimize compute, storage, and query performance using modern big data technologies Manage and evolve our CI/CD workflows and data infrastructure Improve data accuracy, integrity, and reliability for mission-critical datasets Collaborate with cross-functional teams (Analytics, AI, Product) to deliver business value Drive best practices in data engineering, architecture, and tooling Lead projects independently while clearly communicating with stakeholders on timelines and expectations Mentor junior data engineers and contribute to a strong data culture Must-Have Experience: Expert in ETL orchestration tools (e.g., Dagster, Airflow, Luigi) Proficient in SQL databases (e.g., Snowflake, PostgreSQL) Deep understanding of big data systems (e.g., Spark, Hadoop, Hive) Strong programming in Python Experience with DBT and data modeling best practices Deep experience with cloud platforms (especially Azure) Familiarity with streaming data systems (e.g., Kafka, Kinesis) Exposure to MLOps and experience delivering clean, usable datasets to AI/ML teams Experience with CI/CD and Agile environments Nice to Have: Background in ML infrastructure or knowledge graphs Experience working in product-led B2B/SaaS organizations Contributions to open-source data tools What You ll Get Quarterly discretionary performance pay Stock options in a $450M-funded scale-up 24 days annual leave + public holidays 2 Builder Family Days + Christmas/New Year break Fully covered private medical insurance Free lunch at our Gurugram HQ Referral bonus scheme Trips abroad and global collaboration Why You Should Join If you re ready to build world-class data systems that power AI at scale, and want to help shape how software will be built in the future this is your moment. Apply today and transform the way software is created one data pipeline at a time.

Job Title: Growth Consultant Logistics SaaS | Gurgaon, Haryana Location: Gurgaon, Haryana Job Type: Full-time Industry: Logistics Technology | SaaS | Supply Chain Solutions Company: Shipsy About Shipsy Shipsy is a leading global SaaS company revolutionizing the logistics and supply chain industry through AI-powered solutions. In an industry worth trillions but still reliant on manual processes, our technology provides end-to-end shipment visibility, cost optimization, and enhanced customer experiences for some of the world s most renowned businesses. Our client base spans the Middle East, India, and Southeast Asia, and includes top-tier enterprises like Reliance, Domino s, Zepto, UPS Gulf, DTDC Express, Burger King, and Landmark Group. With over 3 million shipments processed daily, nearly 10% of India s container trade is tracked using our platform. Backed by global investors like Peak XV Partners, InfoEdge, and A91 Partners, we've raised $35M+ and grown to a 280+ member team across offices in Gurgaon (HO), Mumbai, Bangalore, and Dubai. Position Overview: Growth Consultant As a Growth Consultant at Shipsy, you'll act as a strategic advisor and customer success partner, helping clients realize the full potential of our logistics tech platform. You ll drive account growth by identifying new use cases, enhancing adoption, and ensuring clients achieve maximum ROI. This is a high-impact, consultative role requiring strong relationship-building, analytical thinking, and logistics domain expertise. Key Responsibilities Client Success & Relationship Management Build and maintain strong relationships with senior client stakeholders. Align client objectives with Shipsy s solutions to deliver business value. Conduct regular on-site visits to strengthen partnerships and understand evolving client needs. Growth Strategy & Account Expansion Analyze client usage and develop tailored growth strategies. Identify new use cases and encourage product adoption across departments. Lead strategic conversations that position Shipsy as a long-term partner. Customer Success Operations Serve as a trusted advisor by proactively addressing client challenges. Track KPIs and ensure timely adoption of new product features and enhancements. Monitor client performance metrics to ensure success outcomes are achieved. Upselling & Cross-Selling Identify upselling and cross-selling opportunities based on client goals. Collaborate with Sales and Product teams to facilitate renewals and expansion. Data-Driven Client Consulting Utilize data and analytics to deliver actionable insights and identify risks. Report on adoption trends, usage levels, and client engagement. Training & Enablement Deliver onboarding, training sessions, and resources tailored to client needs. Create customized enablement plans to help clients achieve faster time-to-value. Customer Advocacy & Feedback Act as the voice of the customer, communicating insights to Product and Engineering. Drive feature suggestions and improvements based on real-world use. Qualifications & Skills Bachelor s degree in Business, Sales, Marketing, or related field; Master s is a plus. 3+ years of experience in Customer Success, Account Management, or Consulting preferably in SaaS, Logistics, or Supply Chain tech. Proven ability to manage large enterprise accounts and foster long-term partnerships. Strong first-principles thinking and a strategic, problem-solving mindset. Familiarity with CRM tools and customer success platforms. Excellent communication, interpersonal, and organizational skills. Self-starter who thrives in a fast-paced, dynamic environment. Willingness to travel for client meetings and business reviews. Competitive compensation and performance-linked incentives. Access to world-class learning opportunities including a scholarship program. Collaborative, energetic, and diverse team culture built on innovation. Work alongside top talent from IITs, NITs, and global research institutions. Make a tangible impact in the digital transformation of global logistics. Join Shipsy and help leading global enterprises unlock their true potential through smart logistics technology. Qualification : Bachelors degree in Business, Sales, Marketing, or related field; Masters is a plus.

Principal Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 8-11 Years About FinBox FinBox is at the forefront of transforming the financial services industry with our innovative technologies. Since our inception in 2017, we have empowered lenders, such as Banks, NBFCs, and large enterprises, to build and launch credit products quickly within days rather than months or years. As a Series A funded company, we re expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build world-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set a new standard in digital finance. We've already helped our customers disburse billions of dollars in credit across unsecured and secured credit, including personal loans, working capital loans, business loans, mortgages, and education loans, impacting over 5 million customers every month. Why You Should Join FinBox: Innovative Environment: We cultivate creativity and experimentation. We want you to challenge the status quo and push boundaries in fintech. Impactful Work: Your contributions will have a direct, positive impact on millions of lives, making credit more accessible to individuals and businesses globally. Growth Opportunities: As a Series A-funded startup, FinBox provides tremendous opportunities for career development and professional growth. Collaborative Culture: Join a diverse, inclusive, and highly skilled team, all passionate about making a meaningful difference in the fintech world. Role Overview: As a Principal Data Scientist at FinBox, you will play a critical role in driving data science initiatives and shaping the direction of data-driven decision-making. You will leverage your deep expertise in machine learning and statistics to design and deploy predictive models, optimize algorithms, and lead experimentation processes that directly impact our products and business strategies. You will work closely with cross-functional teams to translate business requirements into data-driven solutions and collaborate on deploying models at scale. Key Responsibilities: Data Analytics & Insights: Analyze large, complex datasets to generate insights that drive business growth and measure the impact of business decisions. Model Development & Experimentation: Design, build, and deploy predictive models, using machine learning techniques such as regression, clustering, decision trees, and survival analysis. Algorithm Development: Optimize algorithms to process data efficiently, supporting better decision-making across the business. A/B Testing & Experimentation: Lead A/B testing and other experimentation methodologies to refine products and optimize business strategies. Data Visualization & Reporting: Create automated dashboards and reports using visualization tools like Tableau or Power BI to clearly communicate insights to stakeholders. End-to-End Data Processing: Manage the full lifecycle of data processing from gathering and cleaning data to creating models and deploying them in production. Stakeholder Collaboration: Collaborate with product, engineering, and business teams to translate business needs into data-driven solutions. Model Deployment: Ensure that machine learning models are effectively deployed at scale and optimized for real-time business applications. Who You Are: Experience: 8+ years of experience in data science, with a proven track record in the finance or fintech industry. Technical Expertise: Strong proficiency in Python, R, SQL, and Excel for data analysis, model development, and automation. Cloud & Version Control: Proficiency in AWS for cloud-based deployment and Git for version control. Advanced Data Science Skills: Expertise in statistical methods and machine learning techniques including regression, clustering, decision trees, bootstrapping, and survival analysis. Data Visualization: Extensive experience with data visualization tools like Tableau, Power BI, or open-source libraries (e.g., Matplotlib, Seaborn). Problem Solving & Communication: Strong problem-solving skills with the ability to distill complex models into actionable insights for business stakeholders. Deployment Experience: Experience in deploying and maintaining machine learning models at scale, focusing on automation, real-time analytics, and continuous improvement. Innovative Culture: Join a team that is dedicated to pushing the boundaries of what is possible in fintech, with an environment that fosters creativity and experimentation. Global Impact: Your work will directly influence the future of financial services, helping millions of customers access fair and accessible credit. Career Growth: As a growing startup, FinBox offers substantial opportunities for personal and professional growth. Collaborative Team: Work with a team of talented, driven professionals who believe in collaboration, inclusivity, and shared success.

About KPMG in India KPMG in India is a leading professional services firm, a member of KPMG International Limited. Established in August 1993, KPMG India is known for delivering high-quality services, supported by our global network and in-depth knowledge of local regulations, markets, and competition. With offices across key cities such as Ahmedabad, Bengaluru, Chennai, Gurugram, Hyderabad, Mumbai, Noida, and more, we provide comprehensive services to national and international clients across diverse sectors. We focus on offering industry-specific, technology-driven solutions that are rapid, performance-oriented, and rooted in our deep understanding of both global and Indian business landscapes. About Lighthouse Lighthouse, KPMG's Big Data, AI & Analytics practice, specializes in providing advanced solutions in Data Engineering, Data Science, Data Visualization, and Process Analytics. With a strong industry focus, we drive innovation and deliver transformative results for our clients. Role Overview We are seeking a skilled professional to join our team, where you will play a key role in designing, developing, and implementing enterprise-level applications using Snowflake. The role will involve working with cutting-edge data technologies to ensure the efficient flow, processing, and visualization of data. Key Responsibilities Design and Develop Snowflake Solutions: Build and deploy enterprise-scale applications leveraging Snowflake, optimizing for both performance and scalability. Create and Manage Data Pipelines: Use DBT to develop, test, and deploy data pipelines ensuring seamless data flow and processing. SQL Query Optimization: Develop and fine-tune SQL queries to enhance performance and scalability of applications. Security & Access Management: Implement identity and access management features and create robust authorization frameworks to ensure secure access controls. Troubleshoot Performance Issues: Address and resolve performance and scalability challenges within the Snowflake environment. Collaborative Solutions Development: Work closely with data engineers, analysts, and business stakeholders to understand requirements and deliver data-driven solutions. Maintenance & Improvement: Maintain and optimize existing Snowflake infrastructure and processes to ensure continued efficiency. Stay Updated: Continuously improve skills and knowledge by staying abreast of new Snowflake features and industry best practices. Qualifications Educational Requirements: BE/B.Tech/ME/M.Tech/MCA or any relevant degree. Equal Opportunity Employment (EOE) KPMG India is committed to providing equal employment opportunities to all applicants and employees, regardless of color, caste, religion, gender, age, national origin, citizenship, sexual orientation, gender identity or expression, disability, or other legally protected status. We embrace diversity and encourage you to voluntarily submit demographic details to help us in our diversity initiatives. Please note that submitting this information is entirely voluntary and will not affect your application in any way. Qualification : BE/B.Tech/ME/M.Tech/MCA or any relevant degree.

Job Title: Associate Data Scientist - Social Media Analytics About this Role: Join Gartner s Social Media Analytics team, where you will help generate actionable insights from social media and internal/external Gartner data. This role is perfect for someone passionate about learning new technologies, text analytics, and working with unstructured data. As an Associate Data Scientist, you'll analyze data, draw recommendations, and visualize insights for research, using NLP, Machine Learning, and Deep Learning techniques. You will work closely with stakeholders to optimize data mining and improve the accuracy of insights generated. What You ll Do: Execute High-Impact Data Science Projects: Translate research objectives into actionable data and facts using social media and Gartner's internal/external data. Ad-hoc Modeling and Analytical Insights: Provide modeling and analytical insights to inform strategic and operational initiatives. Analyze Unstructured Data: Use advanced data science techniques to analyze unstructured text data, identifying insights and patterns. Interpret and Apply Findings: Align findings with business objectives and translate them into actionable business insights. Solve Business Challenges: Leverage Data Science, ML, and NLP to address pressing business challenges. Stakeholder Interaction: Collaborate with internal and external stakeholders to refine and improve findings. Data Science Driven Initiatives: Drive initiatives with some guidance while building strong domain expertise. Multi-tasking & Agility: Handle different projects in a fast-paced environment with strict SLAs and tight turnaround times. What You ll Need: Education: A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science. Experience: 1-3 years of hands-on AI/ML experience, especially in Text Mining, NLP, and text analytics. Technical Skills: Expertise in Python (Pandas, Numpy, scikit-learn), SQL, TensorFlow, and other data science tools. Familiarity with AWS/Azure environments for training, testing, or deploying models. Machine Learning & NLP Knowledge: Ability to train, fine-tune, or apply ML, Deep Learning, LLMs, and NLP models. In-depth knowledge of NLP concepts and application experience. Data Preparation Skills: Expertise in data cleaning, normalization, and preparation for model training or inference. Analytical Mindset: Strong ability to identify patterns in unstructured datasets and provide actionable insights. Communication Skills: Strong written and verbal communication with the ability to structure clear, concise, and meaningful communication. Critical Thinking & Problem-Solving: Strong analytical skills and the ability to think independently to solve complex problems. Eagerness to Learn: A passion for learning about new technologies in the IT industry, Data Science, and Machine Learning. Research Techniques Understanding: Robust understanding of primary and secondary research methods. What We Offer: Flexible Hybrid Work Environment: Flexibility to work virtually when productive and meet colleagues in person for engaging, purposeful collaboration. Professional Growth: Gartner offers world-class benefits, competitive compensation, and tremendous rewards for top performers. Inclusive Work Culture: Diverse teams from various backgrounds and an environment that values collaboration and team success. Recognition as a Top Workplace: Gartner is consistently recognized as a great place to work worldwide. Join Gartner and contribute to world-class insights while developing cutting-edge technologies in the data science domain. We offer opportunities to grow, thrive, and make an impact! Qualification : A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science.

Job Description: We are seeking a Data Engineer experience in data and analytics, proficient in big data technologies, data architecture, and customer-focused solutions. The ideal candidate will design and implement data pipelines, data lakes, and visualization solutions to create business value. Software Requirements: AWS Redshift Kubernetes Spark Python SQL DBT Dataiku Overall Responsibilities: Design and implement data pipelines, data lakes, and visualization solutions to create business value. Develop and maintain big data solutions using technologies like AWS Redshift, Kubernetes, Spark, Python, SQL, DBT, and Dataiku. Apply best practices in data architecture, modeling, and metadata management. Analyze and troubleshoot complex data issues, ensuring timely resolution. Collaborate with stakeholders to understand data requirements and deliver customer-focused solutions. Category-wise Technical Skills: Big Data Technologies: Proficiency in AWS Redshift, Kubernetes, Spark, Python, complex SQL, DBT, and Dataiku. Data Architecture & Modeling: Strong understanding of data architecture, modeling, and metadata management. Experience in designing and managing data pipelines and data lakes. Data Analysis & Troubleshooting: Excellent data analytical and troubleshooting skills. Ability to analyze and resolve complex data issues in a timely manner. Experience: 6-8 years of experience in data and analytics. Proven track record of developing and maintaining big data solutions. Day-to-Day Activity: Design, develop, and implement data pipelines and data lakes. Maintain and optimize big data solutions using various technologies. Apply best practices in data architecture and modeling. Analyze and troubleshoot data issues to ensure data integrity and availability. Collaborate with stakeholders to gather requirements and deliver data solutions. Stay updated with emerging trends in data and analytics. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in big data technologies and data engineering are a plus. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Customer-focused approach with the ability to understand and meet stakeholder needs. Attention to detail and strong organizational skills. Ability to work independently and as part of a team. S YNECHRON S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Qualification : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

About Shiprocket: We re on a mission to make e-Commerce simple, accessible and trustworthy. We enable e-Commerce sellers with AI-driven technology and dependable services encompassing conversion, order fulfillment, shipping, buyer communication, returns management, and more. Our platform leverages data, workflows and supply chains at scale, providing sellers with just about everything they need to provide a delightful customer experience. We are committed to the following success traits that embody our culture and how we work together to accomplish great things and be a Great Place to Win! Key to True Innovation Manufacture Constraints & learn to work under them. Speed Above All Else Use your judgement of the impact & react accordingly. Be Ruthlessly Frugal It can lead to growth. Say It Like It is Be direct & honest. We are Not A family We are a sports team! We are here to win. Your Priority Obsess over customers. Role Overview: The role of Marketing Business Partners involves taking charge of scaling and growing our products visibility, user base, and engagement. The ideal candidate will bring a blend of strategic thinking, hands-on execution, and deep expertise in performance marketing, CLM and growth campaigns across web and mobile platforms. The Marketing Business Partner will be responsible for creating and executing comprehensive marketing strategies that drive user acquisition, retention, and overall product growth for our offerings. You will work cross-functionally with product, operations, and engineering teams to understand user behavior, craft tailored marketing campaigns, and optimize performance across both web and mobile channels. This role demands a data-driven mindset and a passion for driving measurable results. Roles and Responsibilities: Develop Marketing Strategy: Lead the development of go-to-market strategies and plans for customer acquisition, engagement, and retention. Understand customer needs and competitor landscape to create compelling propositions and campaigns that resonate with target audiences. Work closely with product teams to integrate marketing initiatives into the product roadmap. Performance Marketing Execution: Design and execute performance marketing campaigns (paid search, social media ads, display ads, retargeting, etc.) across both web and mobile platforms. Continuously optimize ad creatives, targeting strategies, and bidding tactics to drive high-quality user acquisition & engagement. Manage and allocate marketing budgets efficiently across multiple channels to maximize ROI. Data-Driven Decision Making: Leverage analytics tools (Google Analytics, Firebase, Branch, Intercom) to monitor key performance indicators (KPIs), track the success of campaigns, and identify areas for optimization. Provide regular reporting on marketing performance, user acquisition metrics, lifetime value (LTV), customer acquisition cost (CAC), and other relevant metrics. Use A/B testing, cohort analysis, & other growth techniques to improve customer conversion & retention rates. User Engagement & Retention: End to end ownership of the funnel and optimization of the same in alignment with business objectives. Work closely with the product and customer experience teams to develop initiatives aimed at increasing app usage, repeat transactions, and user loyalty. Design and implement push notifications, email marketing, and in-app campaigns to improve user engagement. Collaboration and Leadership Reporting: Collaborate with cross-functional teams (product, design, engineering) to ensure alignment on marketing initiatives and business objectives. Take end to responsibility for cadences and metrics reporting as well business team liaison. Scaling the Product: Focus on rapidly scaling the product s user base through targeted and high-impact marketing strategies. Identify new opportunities for growth, including regional expansion and partnerships. Preferred Skills & Qualifications: Minimum 4-5 years of experience in performance marketing, preferably in a high-growth tech environment or consumer-focused mobile app. Proven track record of scaling up products through digital marketing and performance optimization, ideally in hyperlocal, e-commerce, or delivery-based businesses. Experience with digital marketing platforms and concepts (E.g. Google Ads, Facebook Ads, Instagram). Strong proficiency in data analytics and KPIs (CPA, CPC, CTR, LTV, CAC, etc.). Solid understanding of mobile-first marketing, user acquisition, and app store optimization (ASO). Hands-on experience with growth marketing tactics such as A/B testing, referral programs, CRM, & lifecycle marketing. MBA or equivalent from a top-tier business school (preferred). Strong analytical mindset with a focus on measurable results and data-driven decision-making. Creative problem-solver who can think outside the box to find new marketing opportunities. Excellent communication and leadership skills with the ability to collaborate with diverse teams. Results-oriented with a passion for scaling businesses and achieving ambitious growth targets. Qualification : MBA or equivalent from a top-tier business school (preferred).

About Shiprocket: At Shiprocket, we are on a mission to make e-commerce simple, accessible, and trustworthy. We empower e-commerce sellers with AI-driven technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains, providing sellers with everything they need to deliver an exceptional customer experience. What It s Like to Work at Shiprocket: Our culture is built on the following principles: Key to True Innovation: We thrive under constraints and use them as opportunities to innovate. Speed Above All Else: We prioritize quick decision-making and actions that make the most impact. Be Ruthlessly Frugal: Efficient use of resources drives growth. Say It Like It Is: We value honesty and directness in communication. We re Not A Family, We re A Sports Team: We are here to win and accomplish great things together. Customer-First Mentality: Our focus is always on delivering outstanding experiences for our customers. Role Overview: Shiprocket s Engineering Team is focused on driving innovation and excellence within the e-commerce and logistics industries. We are dedicated to developing cutting-edge technology solutions that empower businesses to scale efficiently, optimize operations, and deliver outstanding customer experiences. With a focus on automation, data-driven decision-making, and seamless integrations, we aim to revolutionize how merchants, customers, and logistics providers interact. We are looking for a Data Analyst with 2-6 years of experience to help support our diverse business units (Finance, Product, Operations, Marketing, etc.) by leveraging insights derived from analyzing large datasets. The ideal candidate will be proficient in data mining, analytical methods, data tools, and model development and implementation. Roles and Responsibilities: Data Preparation & Analysis: Gather and analyze data to generate reports that provide actionable insights to business teams. Support the strategic planning of new AI or data-centric products. Insight Generation: Analyze key metrics and performance indicators to identify the root causes of inefficiencies or defects in processes, helping teams drive improvements. Collaboration with Business Teams: Collaborate proactively with various internal business teams to enhance project outcomes, focusing on optimizing resource utilization and ensuring timely completion. Report Creation: Build and maintain reports that communicate key findings and trends clearly to management, facilitating data-driven decision-making. Continuous Improvement: Recommend and implement improvements based on data insights, contributing to better operational efficiencies. Preferred Skills & Qualifications: Business & Statistical Acumen: Ability to translate business questions into statistical solutions and communicate insights effectively. Data Analytics Proficiency: Expertise in SQL, PL/SQL, BigQuery, and Snowflake. Experience in scripting languages like Python is highly desirable. Analytical Tools & Methodologies: Strong understanding of OLTP/OLAP databases, data analytics tools, and methodologies. Hands-on experience in data mining and statistical modeling. Data Visualization Skills: Experience with tools such as Metabase (preferred) and advanced Excel to present data insights in an accessible format. Cloud Services Knowledge: Familiarity with AWS services is a significant advantage. Problem-Solving: Proactive mindset with the ability to identify challenges and develop practical solutions to improve processes and drive business results. At Shiprocket, we offer a dynamic, fast-paced work environment where you ll have the opportunity to make a significant impact. You'll work alongside a talented team that embraces innovation, prioritizes customer satisfaction, and continuously pushes the envelope to redefine e-commerce logistics.

Position: Product Owner - Core Analytics Solutions (CAS) Job Overview: At BlackRock, technology and innovation are central to our mission of delivering world-class financial solutions. As part of Aladdin Financial Engineering (AFE), the Core Analytics Solutions (CAS) team is responsible for delivering analytical capabilities that drive better portfolio decisions. CAS works closely with investment teams and clients, transforming data into actionable insights and delivering solutions across asset classes and client segments. About Aladdin Financial Engineering (AFE): Join over 400 modelers and technologists in AFE within BlackRock Solutions. AFE is responsible for the research, development, and analytics production of Aladdin s financial models. These models span a wide range of financial products and provide insights to portfolio and risk management professionals. About Core Analytics Solutions (CAS): The CAS team within AFE creates and delivers Aladdin s analytical capabilities, ensuring clients can make informed portfolio decisions and achieve their financial goals. Our team is known for problem-solving, innovation, and delivering scalable solutions using Aladdin s global investment platform. Role Description: As a Product Owner with CAS, you will focus on portfolio risk methodologies like VaR and Stress Testing. You will work with modelers and collaborate with product managers, engineers, and data teams to deliver next-generation risk models. This role requires a blend of subject matter expertise, analytical skills, and leadership in driving product initiatives using agile frameworks. Responsibilities: Deliver next-generation risk models for portfolio risk methodologies such as Ex-ante risk models, Historical VaR, Monte Carlo VaR, Stress Testing, and factor risk models. Drive agile framework implementation to ensure predictability and transparency across initiatives. Work closely with stakeholders to define and articulate product requirements, ensuring alignment with business needs. Perform independent analytical validations and present results to stakeholders. Influence the analytics roadmap by understanding rapidly evolving markets and stakeholder needs. Automate processes to increase efficiency and throughput. Present models to clients, address concerns, and build trust in BlackRock s solutions. Collaborate with technology and analytics teams to build scalable, customized solutions using Aladdin APIs. Define processes for quality control and ensure the robustness and reliability of Aladdin s analytics models. Develop and maintain documentation for analytical models and processes. Mentor junior analysts and help them build expertise in the field. Experience/Qualifications/Skills: 3-6 years of experience in developing, deploying, or using financial risk models. Deep understanding of financial models and risk methodologies, including factor models. Experience with APAC markets is a plus. Proven track record of leading cross-functional initiatives as an agile product owner. Experience in finance, econometrics, statistical analysis, or advanced mathematics. Experience with technical tools like Linux, SQL, and scripting platforms. Programming skills (Python, advanced Excel) are a plus. Knowledge of financial risk management certifications (CFA, FRM) is a plus. Excellent quantitative, analytical, communication, and presentation skills. Ability to collaborate effectively with both technical and non-technical stakeholders. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model fosters collaboration while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the option to work from home 1 day a week. About BlackRock: BlackRock is committed to helping people experience financial well-being. Our clients rely on our investment expertise to save for retirement, pay for education, and fund other life goals. We invest in our employees to create a supportive environment where they can thrive professionally and personally. We offer benefits and development opportunities to support our employees' growth. Qualification : Engineering, Finance, Mathematics, Business Management or some other quantitative field of study. Advanced degree preferred. Bachelors degree required.

Position: Advanced Data Analytics - Single Security (Credit Focus) Job Overview: At BlackRock, technology and innovation are essential to delivering world-class financial solutions. The Advanced Data Analytics team within Aladdin Financial Engineering (AFE) is focused on developing the next generation of data content and governance solutions for single security analysis, specifically in the Credit space. This role offers the opportunity to work with cutting-edge technologies to deliver impactful analytics in Mortgage, Structured & Credit Products. About Aladdin Financial Engineering (AFE): Join a team of over 300 modelers and technologists in AFE within BlackRock Solutions, responsible for research and development of Aladdin s financial models. AFE spans a wide range of financial products and provides investment insights to portfolio and risk management professionals. The models developed and supported by AFE cover equities, fixed income, commodities, derivatives, and private markets. Role Description: The Advanced Data Analytics team within AFE Single Security is responsible for building and maintaining data content in the Credit space. The team uses emerging technologies and statistical/mathematical methodologies to create predictive models and classification solutions. As a member of this team, you will focus on: Building and enhancing Credit Derived Data Content. Ensuring robust Model & Data Governance practices. Developing and maintaining Credit Model & Analytics solutions. Experience/Qualifications/Skills: Experience with Scala programming. Knowledge of ETL, data curation, and analytical jobs using distributed computing frameworks like Spark. Experience working with large enterprise databases such as Snowflake, Cassandra, and cloud-managed services like Dataproc and Databricks. Familiarity with financial instruments such as Corporate Bonds and Derivatives. Knowledge of regression methodologies and building tools for Data Governance. Python knowledge is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Math, Economics, or a related field. 3-6 years of relevant experience in data analytics and financial products. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model enables a culture of collaboration while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the option to work from home 1 day a week. Certain business groups may require more time in the office due to their roles. About BlackRock: BlackRock is committed to helping people experience financial well-being. Our clients rely on our investment expertise to save for retirement, pay for education, and fund other life goals. By investing in our employees, we create a supportive environment where everyone can thrive professionally and personally, with ample opportunities for growth and development. Qualification : Bachelors/master's in computer science with a majorin Math, Econ, or related field

Position: Alpha Gen Product Engineer Job Overview: At BlackRock, we are seeking Software Engineers who thrive in innovative environments and enjoy solving complex challenges. This is an opportunity to work with cutting-edge technology and impact the financial markets through our Aladdin investment operating system, which powers decision-making for thousands of users worldwide. The Alpha Gen Technology group (AGT) is focused on enabling market-leading performance for BlackRock's investment teams. Join a team of innovators to work on next-generation technology in the quantitative and investment space. About Aladdin and Aladdin Engineering: Aladdin is BlackRock s investment operating system, used by financial institutions worldwide. It integrates sophisticated risk analytics, portfolio management, trading, and operations tools into one platform. The Aladdin Engineering group develops and maintains this platform, building tools that manage trillions in assets and support millions of financial instruments. Your Role and Impact: As an Alpha Product Engineer in the Alpha Gen Platform team, you will develop a cloud-first platform used for both quantitative research and production systems. You will be involved in the full lifecycle of the platform, from design and architecture to development, implementation, production support, and maintenance. Your Responsibilities: Build a groundbreaking, high-quality Alpha Gen platform to meet the data and quantitative needs of research and production. Prototype new alpha-enabling technology. Migrate large amounts of critical data to cloud-native data stores like Snowflake and Azure Blob Storage. Understand and address scale challenges in data access and persistence in ingestion pipelines. Work with modern data lakes, structured file formats, containers, and orchestration ecosystems. Partner with other engineering teams at BlackRock to integrate with Aladdin. Qualifications and Skills: 8+ years of proven experience in software engineering. Excellent coding skills in Python; knowledge of Scala or Java is a plus. Experience with distributed technologies like Spark, Dask, or Kubernetes. Desire to build expertise in cloud-native technologies and applications deployed to cloud infrastructure. Familiarity with agile practices, test automation, pipelines, release management, and deployment strategies. Good understanding of the modern data ecosystem Snowflake, Apache Iceberg, Parquet formats, object stores (S3, Azure Blob Storage), and orchestration systems (Airflow, Prefect). A curiosity and passion to learn new technologies. Strong interpersonal skills to work effectively in a collaborative team environment. A deep understanding of the modern data and quantitative ecosystem. How to build a platform that enables alpha generation at scale. Experience with Aladdin the investment platform used to manage over $15 trillion in global assets. How to apply enterprise integration patterns and data science technology to enable alpha generation. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model supports collaboration while offering flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may require more time in the office. About BlackRock: BlackRock is dedicated to helping people experience financial well-being. Our clients rely on us to support their financial goals, including saving for retirement, funding education, and growing their businesses. We invest in our employees by fostering an environment where they feel welcomed, valued, and supported with networks, benefits, and development opportunities to thrive.

Job Title: AI/ML Team Lead Location: Gurgaon Job Family: Research and Development Employment Type: Full-Time Category: Engineering & Technical About CNH Industrial Innovation. Sustainability. Productivity. CNH Industrial is committed to advancing the vital work of farmers and builders worldwide. Our cutting-edge solutions from alternative power sources to precision technology drive productivity while caring for our planet. Join a collaborative global team passionate about innovation and customer success. Job Purpose Lead the design, development, and deployment of advanced AI/ML and Generative AI solutions to drive innovation and business value. Act as the technical and strategic leader shaping AI initiatives, ensuring scalable and ethical architectures aligned with business goals. Manage cross-functional collaboration and communicate complex concepts clearly to drive adoption. Experience in both POCs and production-grade AI solutions is essential. Key Responsibilities Generative AI Leadership Architect and deploy GenAI solutions such as chatbots, intelligent document processing, code generation, content summarization, and personalization. Customize and fine-tune foundation models (GPT, LLaMA, Claude, Mistral) for domain-specific applications. Evaluate and integrate GenAI frameworks (LangChain, Semantic Kernel, LlamaIndex, Transformers). Implement prompt engineering and retrieval-augmented generation (RAG) pipelines at scale. Technical Strategy & Execution Define and execute a Generative AI roadmap aligned with business goals. Collaborate with product, engineering, and business teams to prioritize AI use cases. Lead POCs and pilots validating AI ideas before scaling. Ensure secure, ethical, and governed deployment of AI systems. Team Leadership & Mentorship Lead, mentor, and grow a team of AI/ML engineers and researchers. Establish best practices in model development, experimentation, and deployment. Foster a culture of continuous innovation and learning in GenAI. Platform & Infrastructure (Azure Focus) Deploy and operationalize models on cloud platforms, especially Azure AI services (OpenAI on Azure, Azure ML, Azure Cognitive Search). Manage GenAI infrastructure including vector databases, inference endpoints, and GPU resources for performance and cost-efficiency. Utilize MLOps practices for lifecycle management and reproducibility. Experience Required 8+ years in AI/ML roles with 2+ years focused on Generative AI. Proven hands-on experience with foundation models (GPT-4, Claude, LLaMA) and tooling ecosystems. Proficient in Python and AI/ML libraries such as PyTorch and Hugging Face Transformers. Deep knowledge of prompt engineering, RAG, LLMOps, and model fine-tuning. Experience with vector databases like FAISS, Pinecone, Weaviate, or Azure AI Search. Familiarity with enterprise AI integration via APIs, plugins, and cloud deployment. Preferred Qualifications Bachelor s, Master s, or PhD in Computer Science, Machine Learning, AI, or related fields. Dynamic international career opportunities. Inclusive culture committed to respect and equality. Flexible work arrangements. Savings & retirement benefits. Tuition reimbursement. Parental leave, adoption assistance, fertility & family-building support. Employee Assistance Programs. Charitable contribution matching and Volunteer Time Off. Grow your career with CNH Industrial innovate for a sustainable future and help build better lives.

Product Manager Location: Gurugram, India Type: Full-Time Experience: 2 5 Years Category: Product Management About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is India s leading enterprise software provider for financial advisors. Our SaaS platform empowers top financial planners to help millions of Indians achieve their investment goals. From enabling portfolio rebalancing to handling large-scale transactions daily, our tools drive better financial decision-making. If you re excited about building solutions that shape the future of investing, this is the place for you. Role Overview We are looking for a strategic and user-focused Product Manager to join our growing team. You will be responsible for defining product strategy, leading cross-functional initiatives, and shaping the roadmap for key modules of our fintech platform. This is a great opportunity for someone with strong analytical skills, a passion for solving real-world financial problems, and experience managing SaaS products. Key Responsibilities User Advocacy: Deeply understand and represent user needs throughout the product lifecycle. Strategy & Roadmapping: Define and evolve strategy for core product modules, ensuring alignment with company vision. Product Vision: Craft a compelling product vision and rally stakeholders around it. Prioritization & Execution: Prioritize features based on user feedback, business impact, and technical feasibility. Collaborate closely with product owners and engineering teams to drive execution. Market Analysis: Monitor the competitive landscape, track industry trends, and gather actionable customer feedback. Lifecycle Ownership: Own the product lifecycle from ideation to launch, iteration, and end-of-life decisions. Required Experience & Skills 2 5 years of core Product Management experience, preferably in a fintech or SaaS environment. Solid understanding of agile methodologies and product lifecycle management. Proficiency in product management tools such as JIRA, Trello, or Asana. Strong analytical, research, and documentation skills. Demonstrated ability to think strategically, make data-informed decisions, and manage competing priorities. Excellent communication and stakeholder management skills. Bachelor s degree in Engineering (B.Tech/BE) or equivalent professional experience. Perks & Benefits 5-day work week with flexible hours. Free group medical insurance (coverage up to 3 Lakhs) for all permanent employees. Complimentary financial planning consultations with certified professionals. Personalized guidance to begin and improve your own investment journey. A collaborative and high-growth work culture with regular team events and learning opportunities. At Investwell, you ll get to lead products that directly impact the financial well-being of millions. You'll collaborate with talented developers, designers, and stakeholders in a culture that encourages ownership, innovation, and continuous learning. Qualification : Bachelors degree in Engineering (B.Tech/BE) or equivalent professional experience.

Senior Product Manager Location: Gurugram, India Job Type: Full-Time Category: Product Management About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is a leader in enterprise software for financial planners in India. We partner with top financial advisors to enable prudent financial planning for millions. Our product suite helps advisors rebalance investments, execute lakhs of transactions daily, and ensure clients meet their financial goals. Join us to be part of a company revolutionizing how millions invest. Key Responsibilities Understand and represent user needs effectively across product teams. Develop and continuously improve strategy for core product modules. Assess key problems the product solves and drive the product roadmap and lifecycle. Define a compelling vision for the product and align stakeholders around it. Prioritize features and capabilities in collaboration with product owners and cross-functional teams. Monitor market trends, gather customer feedback, and perform competitive analysis to inform product decisions. Lead large-scale product initiatives, ensuring alignment with business goals and customer needs. Required Experience & Skills Minimum 5 years of core Product Management experience, preferably in fintech. Proven success managing complex, large-scale product initiatives focused on financial transactions and multi-asset integrations. Strong technical acumen and ability to collaborate closely with engineering teams to deliver seamless user experiences. Exceptional analytical skills, adept at translating data into actionable insights. Excellent communication and stakeholder management skills. Experience working in fast-paced, agile development environments. Perks & Benefits 5-day workweek with flexible working hours and regular office events. Group medical insurance coverage up to 3 lakh for all permanent employees. Complimentary financial planning consultations tailored to your life stage. Support and guidance for starting or advancing your personal investment journey.

Director Product Management Location: Gurugram Experience: 5-6+ years in Product Management, with 3+ years hands-on software development experience Job Type: Full Time About Procol Procurement processes at over 80% of companies still rely on emails, Excel, and phone calls causing inefficiencies, delays, and cost leakages of up to 20%. Procol transforms procurement by automating manual workflows, improving efficiency by ~50%, doubling speed, and delivering 2-10% cost savings. Founded in 2018, Procol s secure platform is trusted by $1B+ global companies, managing over $5Bn in procurement spend. Rated 4.9/5 on G2 and featured by Forbes, our team comprises ex-Google NY, Zomato, and OYO professionals. We are backed by investors including Blume Ventures, Peak XV Surge, Beenext, and Rainmatter. Role Overview As Director Product, you will drive the vision to simplify business for millions by building and scaling core procurement products and experiences. You will lead a team of product managers and collaborate with engineering, design, data science, and marketing to deliver impactful solutions. What You ll Do Define Product Strategy: Develop long-term vision and quarterly roadmaps aligned with company goals. Conceptualize Solutions: Use a problem-first, data-driven approach to identify and prioritize product ideas, balancing platform and long-term considerations. Lead Product Builds: Partner with engineering and design to deliver customer-loved products on schedule, creating detailed specs and managing product scope. Launch & Advocate: Plan go-to-market strategies alongside Product Marketing and serve as the internal and external product champion. Manage Stakeholders: Collaborate closely with senior leadership and cross-functional teams to align strategy with execution. What You ll Bring Strong customer-first and business-first mindset with solid technical understanding. Self-driven and proactive, able to thrive in a fast-paced, competitive startup environment. Analytical, data-informed approach with curiosity about metrics and macro trends. Exceptional problem-solving skills and keen attention to detail. Strong product sense with experience building products from 0 to 1. Minimum 5-6 years in Product Management and 3+ years in software development. Why You ll Love Procol Monthly advance salaries and comprehensive health insurance for employees and families. Free breakfast and snacks in the office. Subscriptions to wellness platforms like PharmEasy, Clove, HealthifyMe, Lenskart, and more. Discounts on fitness, healthcare, and lifestyle services. Fast-paced growth with impact across thousands of businesses. Close collaboration with an experienced founding team dedicated to building a great company.

Job Title: Senior Product Manager SaaS & Logistics Tech | Gurgaon, Haryana Location: Gurgaon, Haryana, India Job Type: Full-time Department: Product Management Industry: SaaS | Logistics & Supply Chain Technology Company: Shipsy About Shipsy Shipsy is a fast-growing global SaaS company transforming logistics and supply chain operations through intelligent automation and end-to-end visibility. Our platform enables enterprises to streamline freight and delivery management, optimize costs, and enhance customer experience all while driving sustainable logistics practices. We serve over 190+ global businesses, facilitating the movement of 2+ million shipments daily, and are rapidly expanding across the Middle East, Southeast Asia, and Europe. With regional headquarters in Dubai and strong momentum in revenue, team growth, and customer base, we are poised for continued global scale. Backed by top investors like Sequoia Capital and InfoEdge, our team consists of experts from institutions like MIT Media Lab, IITs, and top-tier companies like Microsoft, Samsung Research, and Morgan Stanley. Role Overview: Senior Product Manager As a Senior Product Manager, you will play a strategic role in shaping the roadmap and evolution of Shipsy's platform. You ll work cross-functionally with Engineering, Sales, Customer Success, and Design to define product vision, drive feature development, and deliver scalable logistics solutions that generate measurable impact for our enterprise clients. This is a high-impact position that requires a mix of business acumen, customer empathy, and a strong product mindset in the SaaS and supply chain domain. Key Responsibilities Own end-to-end product lifecycle from ideation to launch to iteration for core features of the Shipsy platform. Collaborate with customers and internal stakeholders to gather insights and define user stories, requirements, and acceptance criteria. Deeply understand customer workflows and business needs to ensure product solutions align with measurable outcomes. Drive platform adoption by designing intuitive, value-driven experiences that address pain points and unlock efficiencies. Prioritize features using data, customer feedback, and market trends to inform product strategy and decision-making. Work closely with Engineering to ensure timely and high-quality delivery of product features. Identify and track key performance metrics for product performance, adoption, and ROI. Serve as a customer advocate, proactively capturing feedback and channeling it into continuous product improvements. Requirements & Qualifications 4+ years of Product Management experience in SaaS, logistics tech, or enterprise software environments. Strong understanding of B2B workflows, supply chain processes, or logistics platforms. Exceptional analytical and problem-solving skills; ability to translate complex business needs into clear, executable solutions. Excellent communication and stakeholder management skills. A strong sense of ownership, curiosity, and passion for building scalable, customer-centric products. Bachelor s degree in Engineering, Computer Science, or Business; MBA is a plus. What Makes This Role Exciting Be a part of a high-growth company driving transformation in a trillion-dollar industry. Work alongside top-tier talent in a collaborative, agile, and innovation-focused environment. Influence the roadmap of a platform used by global leaders like Reliance, UPS, Zepto, DTDC, and Burger King. Access professional development programs, international mobility options, and unique employee perks such as a scholarship program. Join Us at Shipsy If you are passionate about solving real-world problems, influencing product direction, and working in a fast-paced, purpose-driven SaaS company, then Shipsy is the right place for you.