Senior Manager Accounts Payable And Travel in India

JOB TITLE Senior Storage Engineer A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO The Senior Storage Engineer will be responsible for monitoring, implementation, and management of the organization's File/Block storage infrastructure. This role requires to cover one of the 2 possible shifts in India as well as a deep understanding of File/Block storage technologies and cloud-based solutions, with a focus on ensuring data availability, scalability, and security. The ideal candidate will have extensive experience in storage engineering and a proven ability to manage complex storage environments. • Provide advanced troubleshooting and support for complex storage issues, minimizing downtime and ensuring seamless operations. • Oversee and optimize File/Block storage systems, ensuring high availability and performance. • Conduct capacity planning and forecasting to ensure adequate storage resources are available to meet future demands. • Monitor storage performance and work with US resource to find recommendations for improvements to enhance efficiency and reduce costs. • Implement integration and automation solutions and provide feedback for solution to US Team to streamline operations and improve storage management. • Implement robust security measures to protect data integrity and ensure compliance with industry regulations and standards. • Maintain comprehensive documentation of storage configurations and processes and provide training and guidance to junior team members. WHAT’S

Position Summary: We are seeking an experienced and dynamic Associate/Senior Associate – Vendor Onboarding to join our Procurement Operations team. The ideal candidate will have strong experience in Vendor Management, SAP MM, SaaS-based Procurement Platforms, MS Office, reporting, and stakeholder coordination. The role will be responsible for managing end-to-end vendor onboarding activities, coordinating with suppliers and internal stakeholders, ensuring compliance, and driving process efficiency through data analysis and reporting. Key Responsibilities: Vendor Onboarding & Management  Manage end-to-end vendor onboarding processes, including document collection, verification, due diligence, and system registration.  Coordinate with vendors through calls, emails, and meetings to ensure timely completion of onboarding requirements.  Ensure vendor master data accuracy and compliance with organizational policies.  Support vendor lifecycle management activities, including updates and maintenance of vendor records. SAP & Procurement Operations:  Work extensively on SAP MM and SaaS-based procurement platforms for vendor onboarding and master data management.  Coordinate between procurement, finance, compliance, and business teams to facilitate smooth onboarding.  Resolve onboarding-related issues and provide operational support to stakeholders. Dashboard & Reporting  Develop and maintain management dashboards, MIS reports, and performance trackers using MS Excel and other reporting tools.  Analyze onboarding metrics and generate actionable insights for management.  Monitor onboarding turnaround times and identify opportunities for process improvement. Stakeholder Management  Collaborate with internal business stakeholders to understand onboarding requirements and provide timely support.  Maintain strong relationships with vendors and internal teams.  Ensure effective communication and follow-up with all stakeholders to achieve onboarding targets. Require

About the role: We are looking for an experienced and hands-on HR professional with 5+ years of HR experience to manage end-to-end people operations while working closely with leadership in the USA. This role is execution-focused with strategic exposure, requiring strong ownership of core HR processes (including Talent Acquisition) and people leadership. The ideal candidate is proactive, detail-oriented, and comfortable operating independently in a fast-paced, dynamic environment. KEY RESPONSIBILITIES: Strategic HR Drive HR initiatives and processes in alignment with organizational objectives and business priorities Talent Acquisition Actively participate in and improve Talent Acquisition processes to support WIN's rapid growth Employee Lifecycle Management Handle complete onboarding and offboarding processes, ensuring a smooth and compliant employee experience Nurture relationships with employees with empathy, kindness, and fairness Payroll, Compensation & Benefits Independently handle payroll processing, benefits, and compliance Coordinate with finance and external vendors HR Operations & HRIS Management Maintain and update HRMS and ATS, ensuring accurate records and up-to-date reports Drive process improvements in HR operations and workflows Statutory & Compliance (India) Manage statutory compliances, filings, and HR audits Ensure adherence to labor laws and internal HR policies Employer Branding Support and execute employer branding initiatives on social media platforms, particularly LinkedIn, to promote hiring, culture, and workplace updates REQUIRED QUALIFICATIONS: 5+ years of full-time HR experience in HRBP / Talent Acquisition Solid understanding of compensation, benefits, and statutory compliance as per Indian labour laws Experience working closely with senior stakeholders Excellent written and verbal communication skills Ability to work independently with minimal supervision &n

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

About the Role We are looking for a Senior SAP BW/BI Developer to design, build, and optimize enterprise data warehousing solutions on SAP BW. The ideal candidate has deep hands-on experience across the full SAP BW/BI stack — from data extraction and ABAP development to performance tuning and cross-platform data integration — and can independently own complex data solutions from design through production support. Key Responsibilities Design and develop SAP BW/BI solutions, including data models, extraction logic, and reporting objects to support business analytics needs. Build and maintain data ingestion pipelines from SAP ECC and functional modules including PM, FI/CO, SD, MM, and C4C into SAP BW. Develop, enhance, and debug custom extractors, user exits, and enhancements using ABAP programming. Design and build DSOs (Data Store Objects), InfoCubes, and BEx Queries to support reporting and analytics requirements. Develop and maintain APDs (Analysis Process Designer) to extract data from BW and push output files to application servers for downstream consumption. Analyze, troubleshoot, and optimize BW query and load performance, particularly for large data volumes. Build and support connectivity between SAP BW and external data platforms, preferably Cloudera and/or Google Cloud Platform (GCP). Design, schedule, and monitor Process Chains to automate data loads and ensure data availability SLAs are met. Manage Transport Requests across development, quality, and production landscapes following change management best practices. Create and maintain technical documentation, including design specs, data flow diagrams, and process runbooks. Collaborate with functional consultants, business analysts, and downstream data teams to translate business requirements into technical solutions. Provide production support, root-cause analysis, and long-term fixes for data and performance issues Requ

NetSuite Consultant at Plative, you support SaaS customers through NetSuite ERP implementations and platform optimizations. You configure and deliver scalable solutions for subscription-based businesses, working alongside senior consultants and project managers. This role requires close collaboration with customer stakeholders, project managers, developers, and cross-functional teams. You'll contribute across the project lifecycle, from discovery through deployment and post-implementation support, on one or more customer engagements at a time. Key Responsibilities Customer Collaboration Support NetSuite engagements for SaaS and subscription-based organizations Participate in discovery sessions and workshops to understand business processes and requirements Apply best practices for subscription billing, revenue recognition, and services delivery Build strong working relationships with customer stakeholders Solution Design & Business Analysis Translate business requirements into NetSuite configurations Document functional specifications, process flows, and solution details Support demonstrations, process walkthroughs, and end-user training NetSuite Implementation & Delivery Configure and customize NetSuite modules, including: Financials Suite Billing Advanced Revenue Management Suite Projects (PSA) Multi-Book Accounting Support delivery across one or more customer engagements Execute testing activities, User Acceptance Testing (UAT), and go-live readiness Work with technical teams to deploy customizations, workflows, and automation Integrations & Data Migration Support integrations between NetSuite and external platforms, including Salesforce, HubSpot, and Avalara Contribute to data migration planning, validation, and reconciliation Work with developers on custom integrations Required Qualifications 3-5 years of experience implementing and configuring NetSuite ERP solutions Working knowledge of: SuiteBilling ASC 606 Revenue Recognition Advanced Revenue Man

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will facilitate Smartsheet's growth strategy through insights produced with data analysis. You will work directly with senior leadership to inform strategic decision-making as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals. You Will: Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to promote more intelligent discussion at all stages of the sales funnel. Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities. Mine large datasets to ensure data accuracy and completeness for reporting purposes. Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports. Guide commission and territory planning processes with analytical support, providing the necessary reports and data. Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics. Automate report generation and distribution to improve efficiency. Provide technical expertise and guidance to junior analysts on data extraction, transformatio

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is hiring a Senior Analytics Engineer to lead the way in data-driven decision-making. You will be responsible for the creation and maintenance of a governed, reliable, and scalable analytics system, transforming raw data into usable datasets for DS/ML, analytics, and reporting. A key aspect of this role is leading the architecture and implementation of efficient data transformation systems within Snowflake, fostering data democratization and impacting business outcomes. Working closely with BI analysts and Data scientists, you will ensure data accessibility and drive activation on critical customer-facing platforms. This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India. You Will: Leading the implementation of efficient and scalable systems that optimize data transformations from our data lake in Snowflake into clean, documented data products. Contribute to the design standards and architectural principle standards, designs and processes. Build and maintain a governed, robust, reliable, and scalable analytics system (DW/DV). Collaborating with BI analysts and data scientists to provide proper data accessibility guidelines. Foster data democratization via activation of data on critical platforms like Smartsheet platform, Amplitude, Thoughtspot , Gainsight. Create and contribute to frameworks that improve data quality and observability to identify and resolve issues faster. Create and implement data testing plans, en

Role – Deputy Director - Talent Acquisition (Non-Tech Hiring) Reports to – Head of Talent Acquisition About the Role In this leadership role, you will take complete ownership of the non-tech talent acquisition function. You'll develop and implement comprehensive recruitment strategies, manage and coach a team of recruiters, and ensure a seamless and data-driven recruitment experience for all hiring managers. With your deep industry knowledge and expertise, you'll be a trusted advisor, shaping the future of our non-tech workforce. Responsibilities: Strategic Leadership: Develop and implement a comprehensive talent acquisition strategy for all non-tech functions, aligned with the company's overall business goals. Partner with senior leadership across the organization to understand talent needs and identify future talent requirements. Partner with branding teams to develop and implement an employer branding strategy to attract top talent in the non-tech space. Oversee the performance and development of a high-performing recruitment team, providing coaching and mentorship. Recruitment Management: Manage the entire recruitment lifecycle for senior and niche non-tech positions, including designing and executing search strategies, sourcing top talent, and leading the interview process. Foster a strong relationship with external recruiting partners to optimize talent acquisition efforts. Data & Analytics: Implement a data-driven approach to recruitment, analyzing metrics and identifying areas for improvement. Develop and maintain talent maps for critical non-tech roles. Utilize data to inform strategic decision-making and influence hiring discussions. Candidate Experience: Champion a positive candidate experience throughout the recruitment process, ensuring timely communication and feedback. Design and implement interventions focussed on driving a strong positive candidate experience Project Management: Lead the development and implementation of talent acquisition-relat

Role Overview The Executive Assistant at GHX India serves as a cornerstone of executive effectiveness and organizational culture. This role partners directly with senior leadership to keep priorities moving, while also owning the planning and execution of team events and culture programs that make GHX India a great place to work. The ideal candidate is proactive, organized, discreet, and genuinely energized by bringing people together. Key Responsibilities Executive Support for Managing Director of India Manage the calendar of the Managing Director of India, including scheduling meetings. Coordinate domestic and international travel, including flights, hotels, meals, and ground transportation; provide real-time support for itinerary adjustments due to schedule changes or disruptions. Plan and coordinate executive team events, including venue selection, catering, and onsite support; attend events as needed to stay connected with executive and team needs. Prepare, edit, and review documents, presentations, and correspondence with accuracy, clarity, and professionalism. Build comprehensive itineraries for conferences and complex travel schedules. Track and reconcile executive expenses, manage petty cash purchases, and process expense reports. Proactively assess administrative needs, prioritize tasks, and recommend effective solutions to support executive and team operations. Organize and maintain electronic and physical files per GHX Security and Compliance guidelines. Follow all GHX policies including T&E, Compliance, and Security policies. Assist with special projects and perform additional administrative duties as assigned. Culture & Events Plan and execute employee culture and events from concept to close — offsites, celebrations, recognition moments, and milestone gatherings. Partner with leadership and HR to bring the company’s values to life through meaningful, well-run experiences. Collaborate with the Branding and Marketing team to plan, review,

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a Sr. Principal Data Scientist to set the technical direction for the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll architect the systems, define the modeling and evaluation standards, and shape the roadmap for how Smartsheet uses applied ML and agentic AI to serve millions of customers. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are a recognized technical leader who moves fluidly between architecture, prototype, and production; raises the bar for the data scientists around you; and partners with senior product and engineering leaders to make decisions that compound across the org. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. This full-time position reports to the Director of Data Science and is based in Smartsheet’s Bengaluru, India office. You Will: Set the technical direction for how Smartsheet uses applied ML and agentic AI across the customer lifecycle — what gets built, what doesn’t, and what good looks like Architect the systems behind the sub-agents: how they ground themselves in evidence, how risk and confidence are calibrated, how decisions are evaluated, and how all of it stays safe and trustworthy at scale Define the modeling, evaluation, and experimentation standards the team follows — from offline metrics to online rollout to production monitoring Personally ship the

About the Role Redwood is scaling public cloud infrastructure and AI features across multiple product lines, and we need a FinOps Lead to bring rigor, visibility, and accountability to that spend. This is a senior individual-contributor role with the authority to drive cross-functional cost governance directly. This role owns the translation of raw cloud cost data and AI spent into the models, forecasts, and governance mechanisms that let engineering, product, and executive leadership make informed decisions. This is not a bill-monitoring role. You will build the cost attribution infrastructure that ties cloud/AI spend to specific product lines and, ultimately, to ROI involving architecture and engineering teams to make the right trade offs and decisions in line with the strategic roadmap. The role will report to the Senior Director, Product Engineering Operations, and work closely with Cloud Engineering, the CPO's org, and engineering leadership to create cost visibility and defensibility informing leadership on efficiency strategies. Your ability to be an effective communicator, collaborative team player, and analytical thinker will be keys to success in this role. Responsibilities Cost Visibility, Attribution & Optimization Own and continuously improve cost models that attribute AWS (and other public cloud) spend by product line, team, and environment Drive tagging governance and hygiene, define standards, audit compliance, and close attribution gaps that prevent accurate cost-per-product reporting Build shared cost allocation models to drive transparency into per-team cost drivers where there are prevalent savings plans, reserved instances and network charges Build toward feature-level cost attribution that connects infrastructure spend to product ROI, not just aggregate bill totals Create and manage optimization programs with achievable savings targets, including working across engineering and finance to rightsize, clean up and modernize infrastructur

About the Team Our GTM Strategy & Operations team builds the systems, insights, and operating rhythms that help scale Enterprise revenue growth. In this role, you’ll partner closely with the broader GTM Strategy & Operations team and senior Sales leaders to support strategic planning, strengthen business execution, and operationalize key initiatives across the Enterprise organization. About the Role You’ll manage core sales cadences, analyze business performance, and contribute to cross-functional initiatives that improve efficiency and accelerate growth. This is a highly collaborative role that works across Sales, Finance, Enablement, Data, Product, Growth Strategy, and Systems. This role is ideal for someone who enjoys navigating ambiguity, solving complex business problems, and using data to improve how teams operate and scale. In this role, you will: Support Enterprise GTM Strategy Partner with Enterprise Sales leadership on strategic planning, coverage, and growth initiatives Analyze business performance and customer trends to inform recommendations and priorities Identify operational gaps and opportunities across the sales funnel Develop growth strategies and strategic bets for new products, capabilities, customer motions, and market opportunities across Enterprise subsegments Improve Business Operations Support forecasting, pipeline reviews, business reviews, and performance reporting Build scalable processes, reporting, and operating cadences that improve visibility and execution Maintain and enhance core GTM metrics and dashboards Share knowledge and best practices across the GTM Strategy & Operations team to drive greater consistency and standardization Drive Cross-Functional Initiatives Partner across Sales, Finance, Enablement, Data, Product, Growth Strategy, and Systems on high-impact initiatives Coordinate stakeholders, timelines, and deliverables to keep projects moving forward Drive process improvements that increase sales productivity an

Position Overview We are looking for a Software Engineer II to build and deliver scalable software solutions across our products. You will work on modern web applications and cloud-based services using Node.js, React, TypeScript, AWS, PostgreSQL, MSSQL, and Docker, while contributing to AI-enabled features and integrations. You will collaborate closely with other engineers, product managers, and cross-functional teams to develop reliable, maintainable, and production-ready solutions. This role provides an opportunity to work with modern AI technologies including Python, AWS Bedrock, MCP, RAG, and agentic AI workflows while developing strong expertise in cloud-native software engineering. What You'll Do Develop and maintain scalable backend services and APIs using Node.js, TypeScript, and JavaScript. Build responsive and maintainable frontend applications using React. Design and implement integrations with AWS services and contribute to cloud-native application development. Develop and maintain applications using PostgreSQL and MSSQL, including writing efficient queries and working with database schemas. Build, test, and deploy applications using Docker and modern CI/CD practices. Contribute to AI-enabled product features using Python, AWS Bedrock, RAG, MCP, and AI integration patterns. Work with the team to integrate LLM capabilities, APIs, tools, and data sources into production applications. Write clean, maintainable, and well-tested code following established engineering practices. Participate in code reviews, technical discussions, debugging, and production issue resolution. Develop unit and integration tests and contribute to improving application quality and reliability. Monitor application performance and troubleshoot issues across development and production environments. Collaborate with senior engineers and architects to implement technical solutions aligned with product and engineering requirements. Stay current with emerging technologies, particularly in