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Field Care Coordinator Bilingual Preferred Jobs

1,988 active opportunities · Updated for October 2026

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Explore current field care coordinator bilingual preferred jobs. Use filters to narrow by work mode, employment type, experience and date posted.

PE
Private Employer
📍 Uttar Pradesh, India• Full-time
1mo ago

About the Role We are looking for a detail-oriented and enthusiastic HR Payroll Intern to support our HR team in payroll operations and employee-related processes. This internship will provide hands-on exposure to payroll management, HR operations, employee data, and HR systems. Duration - 6 Months Key Responsibilities ● Assist in the monthly payroll processing and related HR activities. ● Maintain and update employee records and payroll data. ● Support attendance, leave, and other payroll-related inputs. ● Assist in preparing and validating payroll reports and MIS. ● Coordinate with relevant teams to resolve payroll and employee data discrepancies. ● Support documentation and other HR Operations activities. ● Ensure accuracy and confidentiality of employee information. ● Assist the HR team with other payroll-related tasks as required. Requirements ● Pursuing BBA/MBA/PGDM in HR, Finance, or a related field. ● Strong attention to detail and numerical aptitude. ● Good working knowledge of MS Excel. ● Good communication and coordination skills. ● Ability to handle confidential employee information responsibly. ● Candidates who can commit to a 6-month internship are preferred. What You'll Gain ● Hands-on experience in Payroll & HR Operations. ● Exposure to real-world employee data and payroll processes. ● Opportunity to work in a professional corporate environment. ● Practical understanding of HR systems, processes, and reporting.

aigoexcel
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AG
Adani Group
📍 India• Full-time
1mo ago

The Central Lead – Corporate Agri Sustainability is responsible for driving the organization’s horticulture and agriculture sustainability agenda by developing innovative, scalable, and future‑ready solutions. This role ensures alignment between corporate sustainability goals, field-level implementation, and product strategies. The incumbent will lead cross-functional teams, foster continuous improvement, and champion sustainable practices that enhance productivity, environmental responsibility, and long‑term business impact. Source: Adani Group | Job ID: 52454

AG
1mo ago

This role is responsible to manage the operational integrity and reliability of control and instrumentation systems of a Turbine. This role involves on-field execution of maintenance activities, scheduling and executing precise calibrations, providing technical support and ensuring that all equipment is meticulously monitored and maintained according to established checklists. The lead is pivotal in maintaining the continuous, efficient operation of turbine systems through proactive management and hands-on technical expertise. Source: Adani Group | Job ID: 48587

AG
Adani Group
📍 Mundra• Full-time
1mo ago

This role is responsible to manage the operational integrity and reliability of control and instrumentation systems of a Turbine. This role involves on-field execution of maintenance activities, scheduling and executing precise calibrations, providing technical support and ensuring that all equipment is meticulously monitored and maintained according to established checklists. The lead is pivotal in maintaining the continuous, efficient operation of turbine systems through proactive management and hands-on technical expertise. Source: Adani Group | Job ID: 48588

AG
Adani Group
📍 India• Full-time
1mo ago

The Central Lead – Corporate Agri Sustainability is responsible for driving the organization’s horticulture and agriculture sustainability agenda by developing innovative, scalable, and future‑ready solutions. This role ensures alignment between corporate sustainability goals, field-level implementation, and product strategies. The incumbent will lead cross-functional teams, foster continuous improvement, and champion sustainable practices that enhance productivity, environmental responsibility, and long‑term business impact. Source: Adani Group | Job ID: 56738

S
Smartsheet
📍 USA-• Full-time• Remote• From $1.5M/yr
1mo ago

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. As the Marketing Platform Operations Manager, you will own data quality and data flow across Smartsheet's marketing technology stack with a particular focus on how lead and account data moves between systems, where it breaks down, and how it can move better in an AI-first environment. You'll dig into the mechanics of our lead flow: where data originates, how it's enriched and scored, how it syncs across platforms, and where gaps or failures cost the business pipeline. This is a hands-on, systems-fluent role. You'll partner closely with Marketing Platform Operations, Campaign Operations, Analytics Engineering, and Sales teams to diagnose data issues, improve data architecture, and support the evaluation and rollout of new tools that improve enrichment, orchestration, and data integrity across the funnel. You'll also contribute to broader Marketing Operations initiatives as they arise. This role reports to the Director, Marketing Platform Operations and can be based in our Bellevue, WA office or remotely from anywhere in the US where Smartsheet is a registered employer. You Will: Own data quality standards across CRM and Marketing Automation Platform (MAP), including field completeness, accuracy, and consistency. Lead deduplication efforts and ongoing hygiene initiatives across contact, lead, and account records. Diagnose root causes of recurring data quality issues and design scalable fixes rather than one-off cleanups. Establish and monitor data quality metrics and reporting to track health over time. Map and docum

REMOTEvuesqlaws
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D
Datadog
📍 California• Full-time• Remote• From $118K/yr
1mo ago

Datadog is seeking a motivated and experienced Security Sales Engineer to join our dynamic enterprise sales engineering team. In this role, you will play a critical part in driving our security sales efforts by providing technical expertise and delivering compelling solutions to our customers. You will work closely with our enterprise sales engineers and sales team to identify customer needs, craft go to market strategy, demonstrate the value of Datadog's security solutions, and ensure customer satisfaction. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What you will do: Support the Enterprise Security Sales team in driving adoption of Datadog’s security offering within target strategic accounts. Collaborate with the broader sales team to identify and understand security requirements across Datadog’s Enterprise customer base. Conduct detailed product demonstrations and presentations, showcasing the capabilities and benefits of Datadog's security solutions. Provide technical expertise and support throughout the sales cycle, including during customer evaluations and proof-of-value initiatives. Develop and maintain a deep understanding of Datadog's security products, industry trends and current vulnerabilities, staying updated with the latest features and enhancements. Assist in the creation of technical proposals, documentation, and other sales materials. Work closely with the product management and engineering teams to relay customer feedback and influence product development. Participate in industry events, conferences, and webinars to promote Datadog's security solutions.. Who You Are : Bachelor’s degree in Computer Science, Information Technology, or a related field. Deep experience with SIEM platforms and detection pipelines, SOC workflows (alert triage

REMOTEawsazuregcp
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D
Datadog
📍 Florida• Full-time• Remote• From $118K/yr
1mo ago

Datadog is seeking a motivated and experienced Security Sales Engineer to join our dynamic enterprise sales engineering team. In this role, you will play a critical part in driving our security sales efforts by providing technical expertise and delivering compelling solutions to our customers. You will work closely with our enterprise sales engineers and sales team to identify customer needs, craft go to market strategy, demonstrate the value of Datadog's security solutions, and ensure customer satisfaction. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What you will do: Support the Enterprise Security Sales team in driving adoption of Datadog’s security offering within target strategic accounts. Collaborate with the broader sales team to identify and understand security requirements across Datadog’s Enterprise customer base. Conduct detailed product demonstrations and presentations, showcasing the capabilities and benefits of Datadog's security solutions. Provide technical expertise and support throughout the sales cycle, including during customer evaluations and proof-of-value initiatives. Develop and maintain a deep understanding of Datadog's security products, industry trends and current vulnerabilities, staying updated with the latest features and enhancements. Assist in the creation of technical proposals, documentation, and other sales materials. Work closely with the product management and engineering teams to relay customer feedback and influence product development. Participate in industry events, conferences, and webinars to promote Datadog's security solutions.. Who You Are : Bachelor’s degree in Computer Science, Information Technology, or a related field. Deep experience with SIEM platforms and detection pipelines, SOC workflows (alert triage

REMOTEawsazuregcp
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C
Cloudflare
📍 In Office• Full-time• €18K – €24K/yr
1mo ago

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon About the Role The Field Marketing team at Cloudflare is at the forefront of sharing our mission to help build a better internet. We are a dynamic, data-driven team dedicated to showcasing Cloudflare's innovative connectivity cloud products to an enterprise audience. Through strategic field campaigns, high-impact hosted events, and scalable operational frameworks, we drive awareness, generate enterprise pipeline, and su

awsgitai
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B
Baseten
📍 San Francisco• Full-time
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Are you passionate about advancing the application of artificial intelligence? We are looking for a Software Engineer focused on ML performance to join our dynamic team. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM Inference. If you are a backend engineer who thrives on making things faster and is excited about open-source ML models, we look forward to your application. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Model Performance team: Baseten Embeddings Inference: The fastest embeddings solution available The Baseten Inference Stack Driving model performance optimization RESPONSIBILITIES Implement, refine, and productionize cutting-edge techniques (quantization, speculative decoding, kv cache reuse, chunked prefill and LoRA) for ML model inference and infrastructure. Deep dive into underlying codebases of TensorRT, PyTorch, TensorRT-LLM, vllm, sglang, CUDA, and other libraries to debug ML performance issues. Apply and scale optimization techniques across a wide range of ML models, particularly large language models. Collaborate with a diverse team to design and implement innovative solutions. Own projects from idea to production. REQUIREMENTS Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. Experience with one

pythondockerkubernetes
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M
Modal
📍 New York• Full-time
1mo ago

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. This internship is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustness in high-stakes real-world deployments. Preferred Qualifications: Currently pursuing a PhD in computer science, machine learning, or a related field. A demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas. Experience developing and evaluating large-scale models or machine learning systems. Familiari

restmachine learningai
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Amplitude is on a mission to help companies build better products through data. Following our acquisition of Statsig, we now offer one of the most comprehensive experimentation and product analytics platforms on the market. As an Customer Data Scientist , you will combine deep experimentation expertise, applied statistics, and customer-facing technical consulting to help some of the world's most sophisticated product and engineering organisations evaluate, adopt, and scale modern experimentation programs. This is a highly strategic and technical role that partners closely with Sales, Solutions Engineering, Product, and Engineering teams. You will serve as the trusted expert on experimentation methodology, statistical rigor, and experimentation infrastructure, helping customers solve complex challenges while influencing the future direction of the Amplitude and Statsig platforms. As an Customer Data Scientist, you will: Serve as the primary experimentation expert throughout customer evaluations, guiding technical discussions from discovery through proof of concept. Partner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture. Help customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric development, variance reduction, and results interpretation. Collaborate closely with Account Executives, Solutions Engineers, Product Managers, and Engineers to accelerate customer success and bring valuable field insights back into product development. Create repeatable frameworks, technical content, and enablement materials that strengthen experimentation expertise across customers and internal teams. You'll be a great addition to the team if you have: You have built, scaled, or supported experimentation programs within a product-led technology company and understand both the technical a

pythonsqlgo
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