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We are seeking an experienced Google Cloud Delivery Manager to lead Customer 360, Contact Center Transformation, and CCAI engagements. The role combines delivery leadership, technical oversight, client management, and team leadership to drive successful cloud transformation initiatives. Key Responsibilities: Lead multiple Google Cloud projects, managing scope, budget, timelines, risks, and stakeholder communication. Drive end-to-end delivery of Customer 360 and Contact Center/CCAI solutions. Provide architectural and technical leadership across GCP services including BigQuery, Vertex AI, Dataflow, Looker, GKE, and Apigee. Govern cloud engineering practices, security, integrations, CI/CD, and cloud-native modernization initiatives. Oversee AI, analytics, and data solutions, ensuring scalability, performance, compliance, and responsible AI adoption. Act as a trusted advisor to clients, managing workshops, escalations, and strategic roadmaps. Lead hiring, coaching, resource planning, and performance management across delivery teams. Partner with sales and account teams to shape solutions and scale Google Cloud offerings. Enable Customer 360 capabilities through unified customer data, predictive analytics, and personalized experiences using BigQuery and Vertex AI. Requirements: Strong experience leading enterprise Google Cloud delivery programs. Expertise in GCP, cloud architecture, DevOps, integrations, security, and AI/analytics solutions. Proven leadership in managing teams, stakeholders, and large-scale cloud transformations. Excellent communication, problem-solving, and client engagement skills. This role offers an opportunity to lead high-impact Google Cloud transformation programs while driving innovation and business value for clients.

Own and grow a portfolio of high-value restaurant partners within an assigned city. Drive revenue growth, strengthen executive relationships, identify expansion opportunities, and provide strategic recommendations using data-driven insights. Key Responsibilities Manage 30–40 high-value restaurant accounts (60–80 in IndiaNext cities), including chains and multi-outlet brands. Build relationships with franchise owners, regional managers, and operational leaders. Drive account growth through upselling, cross-selling, and expansion opportunities. Conduct regular field visits to understand partner needs, resolve challenges, and improve adoption. Develop and present Quarterly Business Reviews (QBRs), performance reports, and growth plans. Analyze account performance, customer trends, and market benchmarks to identify opportunities. Create executive-ready presentations, ROI models, dashboards, and reports. Collaborate with internal teams to deliver solutions and improve partner outcomes. Own a portion of city-level revenue and growth targets. Conduct 60–70 in-person partner meetings each month. What We're Looking For Experience 2–4 years of experience in Account Management, B2B Sales, Enterprise Sales, or Business Development. Proven ability to manage complex, multi-stakeholder relationships and drive revenue growth. Strong ownership mindset and ability to thrive in a fast-paced environment. Willingness to support restaurant partners in a dynamic, round-the-clock business environment. Skills Strong consultative selling, negotiation, and relationship management skills. Advanced Excel proficiency, including Pivot Tables, VLOOKUP/XLOOKUP, dashboards, forecasting, and data visualization. Ability to analyze business performance and translate insights into actionable recommendations. Excellent communication and presentation skills. Preferred Qualifications MBA/PGDM preferred. Working knowledge of the restaurant ecosystem, including unit economics, delivery operations, margins, competitive landscape, and aggregator dynamics. Experience managing large accounts or multi-location businesses is a plus.

Data & AI Strategy Execution Support identification and prioritization of AI and data opportunities that drive business value. Collaborate with business and technology teams to ensure initiatives align with operational goals, digital transformation programs, and strategic priorities. Facilitate communication between stakeholders and help resolve execution challenges. Project Tracking & Governance Track project progress, milestones, timelines, risks, and dependencies across Data & AI initiatives. Provide operational support to ensure projects remain on schedule and within scope. Support governance processes, compliance requirements, data security standards, and risk mitigation activities. Performance Tracking & Reporting Assist in defining and monitoring KPIs for Data & AI programs. Support data collection, analysis, and reporting to measure business impact and value realization. Prepare dashboards, status updates, and performance reports for stakeholders. Operational Collaboration Partner with business, data, AI, and technology teams to ensure successful delivery of initiatives. Assist in managing vendor relationships and coordinating external partners when required. Promote best practices for data and AI adoption across business units. Change Management & Continuous Improvement Support training, awareness, and adoption programs for AI-enabled processes and tools. Identify opportunities to improve business processes through data-driven insights and automation. Assist with post-implementation reviews and continuous optimization efforts. Qualifications & Experience 7–10 years of experience in business operations, project management, data management, or related roles. Experience supporting AI, analytics, or data-driven initiatives preferred. Understanding of AI technologies, modern data platforms, and data governance principles. Proficiency in Power BI or Tableau; familiarity with SharePoint and/or Confluence. Knowledge of business process management and performance measurement frameworks. Basic understanding of budgeting and forecasting processes. Strong analytical, problem-solving, stakeholder management, and communication skills. Ability to manage multiple priorities in a fast-paced environment. Preferred Public speaking and presentation skills. Experience with DBT.

The Business Analyst will play a pivotal role in gathering requirements and conducting business analysis to drive strategic planning. With a hybrid work model and no travel requirements this position offers a balanced work-life environment. The candidate will leverage their expertise to enhance business processes and contribute to the company's growth and societal impact. Responsibilities Lead the requirements gathering process by engaging with stakeholders to understand their needs and objectives. Oversee the documentation of business requirements to ensure clarity and alignment with project goals. Provide detailed business analysis to identify opportunities for process improvements and efficiencies. Collaborate with cross-functional teams to develop strategic plans that align with business objectives. Analyze data to support decision-making and provide actionable insights to stakeholders. Facilitate workshops and meetings to gather input and feedback from various departments. Develop comprehensive business models to support planning and execution of projects. Ensure that all business analysis activities adhere to company standards and best practices. Support the development of project plans by providing input on timelines resources and risks. Monitor project progress and provide regular updates to stakeholders to ensure transparency. Evaluate the effectiveness of implemented solutions and recommend enhancements as needed. Contribute to the continuous improvement of business analysis processes and methodologies. Utilize strong communication skills to present findings and recommendations to senior management. Qualifications Possess a strong background in requirements gathering and business analysis with at least 8 years of experience. Demonstrate expertise in strategic planning and process improvement methodologies. Exhibit proficiency in data analysis and the ability to translate data into actionable insights. Have excellent communication and interpersonal skills to effectively engage with stakeholders. Show experience in facilitating workshops and meetings to gather and analyze requirements. Be adept at developing business models and strategic plans to drive project success. Display a commitment to continuous learning and improvement in business analysis practices.

OPERATIONS/PROJECT MANAGEMENT Oversee installation, configuration, and upgrading of data Platform servers and clients. Monitor system performance, perform regular updates, and manage security protocols in data Platform/Snowflake/Databricks. Ensure optimal performance, stability, and accessibility of data Platform and cloud platforms. Provide expert-level support to data Platform/Snowflake/Databricks users, troubleshooting issues, and implementing solutions. Design, identify and implement the automation process for daily/repetitive tasks Being part of the team that includes participation in an On-Call rotation to provide our customers 24/7 support. ANALYTICS Work with the team to designing, implementing, and testing high availability and business continuity plans for our Tier 1 applications. Implement data governance practices across data platforms/Snowflake/Databricks. Manage user permissions, ensuring compliance with data privacy regulations and company policies. Maintain accurate and comprehensive documentation of system configurations, policies, and procedures. Generate and analyze reports on usage statistics, system health, and user feedback to guide continuous improvement. Qualifications & Experiences: Bachelor’s degree in computer science, Information Technology, Business Administration, or a related field. Master’s degree is a plus. Minimum 2+ years of hands-on administration experience, from setting up the Databricks/Snowflake environments (AWS preferred) Minimum of 1-2 years of experience in data platforms administration, specifically with Tableau Looker, Microsoft Power BI, & MicroStrategy. Minimum 2+ years of hands-on with Git, CI/CD pipelines, Terraform and DevOps practices with strong programing skills in Python/SQL/Bash Strong knowledge of SQL and relational databases. Familiarity with data integration tools and ETL processes. Excellent troubleshooting, problem-solving, and analytical skills. Strong communication and interpersonal skills, with the ability to work effectively with cross-functional teams. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus. Ability to provide 24/7 support.

We are looking for a Generative AI Engineer to design, develop, and deploy AI-powered solutions using Large Language Models (LLMs) and modern machine learning technologies. Responsibilities: Collect, preprocess, augment, and generate synthetic data for AI model training and evaluation. Develop, fine-tune, and optimize LLMs, Transformers, GANs, and VAEs. Build AI solutions for text generation, language understanding, semantic search, and RAG-based applications. Develop backend services and APIs using Python or .NET to support AI applications. Create and maintain scalable AI/ML pipelines for training, deployment, and monitoring. Integrate AI models with enterprise systems and data sources. Deploy AI solutions on Azure, AWS, or GCP and leverage cloud AI services. Ensure AI systems are scalable, reliable, and production-ready. Collaborate with cross-functional teams and stay updated on emerging AI technologies. Requirements: Strong knowledge of Machine Learning, Deep Learning, NLP, and Generative AI. Experience with LLMs, Transformers, embeddings, fine-tuning, GANs, and VAEs. Proficiency in Python and frameworks such as PyTorch, TensorFlow, Keras, and Hugging Face. Experience with data preprocessing, synthetic data generation, and AI model deployment. Knowledge of cloud platforms (Azure, AWS, or GCP), Docker, and Kubernetes. Strong problem-solving, communication, and teamwork skills. Preferred: Experience with Computer Vision and multimodal AI applications. Ability to drive innovation and deliver AI solutions that create business value.