Key Account Manager Thrombis Bangalore in United States

About the Team OpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. A key part of achieving that mission is training models that deeply understand and reflect human preferences — the Human Data team is at the heart of that effort. The Human Data engineering team creates the systems that enable scalable, high-quality human feedback. These systems are essential to how OpenAI trains and improves its most advanced models. Engineers on this team collaborate closely with world-class researchers to bring alignment techniques to life — from experimental ideas to production-ready feedback loops. About the Role We’re looking for software engineers to join the Human Data team and build the platforms, prototypes, tools, and infrastructure that power how our AI models are trained, aligned, and evaluated. You’ll partner with researchers and cross-functional teams to bring alignment ideas to life, influence future model training, and shape how models interact with the real world. We’re looking for people who are excited by technical ownership, enjoy working across the stack, and are eager to solve ambiguous problems in a high-impact, fast-paced environment. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Build and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines, while maintaining high levels of security. Translate experimental alignment research into scalable production infrastructure, including inference and model training stacks. Design and iterate on user-facing tools and backend services to support high-quality data workflows Partner with researchers, engineers, and program leads to shape feedback loops and model interaction paradigms Drive infrastructure improvements that enable faster iteration and scaling across OpenAI’s frontier models, from internal r

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but operational in how we execute, and we support every product and research effort at OpenAI. Our tenets include prioritizing for impact, enabling researchers and developers, preparing for future transformative technologies, and fostering a strong, collaborative security culture. About the Role OpenAI is seeking a Security Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI’s research and production environments—GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data. As a Security Software Engineer, you will design and build critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI’s supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will: Architect and implement production-grade security services (e.g., auth services, access brokers, secure proxies, key-management infrastructure) that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD. Partner with infrastructure and research engineers to embed security into high-performance compute clusters, enabling rapid model training and deployment without compromising protection. Develop automation and detection tooling to continuously identif

The Compute & Infrastructure Strategy team handles strategy and execution of OpenAI’s compute roadmap. This team’s key responsibilities span financial analysis & reporting, capacity planning, commercial and business development, and strategic partnerships. We partner across the business to allocate and deploy our resources for the highest impact outcomes. About the Role Compute is central to OpenAI’s roadmap and vision. We are seeking an Associate to support financial and strategic work across our compute and infrastructure portfolio. This is a finance generalist role that includes core FP&A responsibilities as well as investment analysis, commercial decision support, and strategic planning. You will own analyses and workstreams, partner closely with technical and finance teams, and help shape decisions about how OpenAI invests in and manages compute. In this role, you will be given direction on the objective and expected to independently structure the problem, work through incomplete information, and deliver a high-quality analysis and recommendation. In this role, you will: Build and maintain financial models across different elements of compute, including GPUs, CPUs, storage, networking, data centers, and power Support planning, forecasting, budgeting, reporting, and variance analysis across compute and infrastructure Perform investment analysis and evaluate commercial decisions and strategic initiatives Prepare high-quality analyses, recommendations, and Exec and Board-facing presentations Support business partners across compute infrastructure, FP&A, and strategic finance Help improve the team’s processes, tools, and ways of working, and identify opportunities for OpenAI to continue leading in compute You might thrive in this role if you have: 3+ years of experience across private/growth equity, investment banking, or strategic finance, or 3+ years in a finance operating role at a high-growth technology company Background in infrastructure, data

About the Team OpenAI’s API Multicloud team is responsible for extending OpenAI’s API platform into strategic cloud environments, starting with AWS . The team’s mission is to distribute OpenAI’s API broadly and safely by enabling key API technologies in AWS-native environments, in close partnership with Amazon and internal teams across Codex, Research, Safety Systems, and Applied. The team is focused on bringing core developer and enterprise capabilities into cloud-native environments, including AWS-hosted Codex, model customization / post-training as a service, and new stateful runtime environments for agentic workloads. This work sits at the intersection of production ML systems, developer platforms, model behavior, and large-scale infrastructure. About the Role We’re hiring Machine Learning Engineers to build and improve the AI systems that help strategic partners adapt OpenAI models to important use cases in cloud-native environments. This role spans post-training workflows, evaluation, data pipelines, model behavior, and API/infrastructure integration. You’ll work at the boundary between partner needs and core ML systems: helping teams understand what is and isn’t working, diagnosing issues in training and evaluation workflows, and turning those learnings into improvements to the underlying platform. You should enjoy working with external technical partners, extracting the real goal from messy requests, and pushing back or reframing when the requested experiment is not the highest-leverage path. You’ll collaborate closely with Research, Applied, Safety Systems, infrastructure teams, and external technical partners to solve ambiguous model-performance problems. When you succeed, strategic partners and internal teams will be able to improve model behavior with confidence, driving measurable product improvements while the systems behind that work become more reliable, scalable, and effective over time. In this role, you will Partner with strategic customers and in

About the Team The GPT Infrastructure team builds systems that turn advances in model inference and optimization into reliable production capabilities. We enable OpenAI workloads to be qualified and optimized across new accelerator platforms without requiring a one-off port and tuning effort for every hardware target. Our work spans distributed systems, model execution, compilers and runtimes, performance engineering, secure partner integrations, evaluation systems, and developer tooling. We build the infrastructure that makes optimization workflows automated, reproducible, and trustworthy. About the Role We are seeking a software engineer to help build the platform that qualifies and optimizes inference workloads across heterogeneous compute environments. You will develop both OpenAI-hosted services and secure partner-side software for running long-lived optimization workflows. These workflows generate candidate kernels, runtime configurations, and serving-stack changes; compile and execute them on target hardware; verify their correctness; measure their performance; and use the results to guide further optimization. You will work across model architecture, distributed execution, compilers, runtimes, networking, and accelerator systems. A central part of the role is turning research prototypes and one-off hardware bring-up efforts into reliable, reusable infrastructure with clear contracts, reproducible results, strong observability, and well-defined security boundaries. Key Responsibilities Design, build, and operate APIs and control-plane services for long-running workload qualification and optimization campaigns, including scheduling, retries, checkpointing, resource budgets, and observability. Build secure partner-side execution and evaluation software that can compile, run, verify, profile, and benchmark candidate artifacts on accelerator hardware. Integrate model workloads, hardware profiles, compiler toolchains, runtimes, serving engines, and distributed-exe

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but operational in how we execute, and we support every product and research effort at OpenAI. Our tenets include prioritizing for impact, enabling researchers and developers, preparing for future transformative technologies, and fostering a strong, collaborative security culture. About the Role OpenAI is seeking a Principal Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI’s research and production environments: GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data. As a Principal Software Engineer, you will set technical direction and drive execution of critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI’s customer and supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will: Own the architecture and roadmap for one or more core security services (e.g., authN/Z, policy enforcement, secure proxies, key management), taking them from design to rollout to long-term operation. Design and implement planet-scale security systems that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD: balancing security, reliability, latency, and developer ergonomics. Lead cross-functional launches

The Senior Enterprise Applications Analyst, Procurement supports the evolution, implementation, and integrity of TaylorMade's Oracle ERP solutions across global procurement and supply chain operations. This role provides functional expertise and day-to-day operational support for Procure-to-Pay (P2P) processes, while partnering with business stakeholders to drive measurable process improvement and align system capabilities with strategic objectives. The analyst supports enterprise initiatives including system upgrades, automation, and cloud migration planning. Essential Functions and Key Responsibilities: Provide day-to-day functional support for Oracle Procurement, including troubleshooting issues and ensuring uninterrupted requisitioning, purchasing, and supplier management operations. Configure and maintain Oracle Procurement setups, including organizational structures, Approval Management Engine (AME), document types, supplier configurations, item and category hierarchies, iProcurement, and profile options. Gather, analyze, and document business requirements using Oracle AIM methodology, and translate them into detailed functional specifications for development. Evaluate existing business processes, identify gaps and improvement opportunities, and recommend Oracle standard solutions that deliver measurable business value, including cost savings, efficiency improvements, and return on investment (ROI). Develop, coordinate, and execute functional, system integration (SIT), user acceptance (UAT), and regression testing activities; perform root cause analysis and resolution of production issues. Support and troubleshoot integrations between Oracl

The Performance Research Engineer will play a critical role in advancing TaylorMade's leadership in golf equipment performance. This role bridges physical testing, player testing, Tour-level data collection, and advanced analytics to deliver actionable insights that influence product design, product validation, and performance optimization. The ideal candidate is a hands-on engineer with strong mechanical aptitude, advanced data skills, deep golf intuition, and the ability to translate player feedback into clear engineering direction. Essential Functions and Key Responsibilities: Lead the design and execution of advanced performance testing protocols for golf clubs and balls, including lab, player, field, and Tour-based testing environments. Serve as a category-focused Performance Engineering owner for one or more product areas, with potential emphasis across Woods, Irons, Putter/Wedge, or cross-category initiatives. Support PGA/LPGA Tour and elite-athlete testing by collecting clean, repeatable, decision-ready data while operating professionally and respectfully in player-facing environments. Analyze large datasets from lab, player, and field testing to extract insights on ball speed, launch, spin, consistency, delivery, impact location, dispersion, and performance tradeoffs. Translate Tour and player-test observations into clear engineering recommendations, product questions, validation plans, and follow-up experiments. Develop and maintain automated data pipelines, dashboards, and reporting tools for performance tracking, project communication, and cross-functional decision-making. Collaborate with R&D, Product Development, Tour, Fitting, Consumer Insights, and Analytics teams to integrate player feedback and real-world data into product design.

TaylorMade Golf is looking for a Senior Manager of Facilities who leads from the front. This role owns HQ facilities planning, maintenance, engineering, and regulatory operations at our Carlsbad headquarters, working across three fronts: building and leading a high-performing Facilities and General Services team, running point as project manager on construction and infrastructure work, and serving as a trusted partner to business leaders across the company. Essential Functions and Key Responsibilities: People Leadership — Lead and develop the Facilities and General Services team, including performance management, coaching, and succession planning. Project Management — Own construction, space planning, employee moves, and infrastructure projects from bid to completion, managing budgets, timelines, and subcontractor performance. Facility Operations — Manage preventative maintenance, mechanical/HVAC systems, energy conservation, and facility drawings across TaylorMade's North America sites. Site Services — Oversee café, pantry, and mailroom operations at the Carlsbad HQ. Business Partnership — Partner closely with Legal, Security, Safety, and business leaders to keep projects and daily operations on track. Environmental Health & Safety — Serve as the primary contact for audits, inspections, and local permit renewals (AQMD, water, stormwater, CUPA, CERS) and lead chemical and hazardous materials policy, storage, and compliance. Emergency Preparedness — Co-own the Building Emergency & Safety Team (BEST) with Corporate Security, including training and drills. Knowledge & Skill Requirements Strong planning and organizational skills, including the ability to manage multiple concurrent projects, budgets, and timelines.

TaylorMade Golf is seeking a highly creative Graphic Designer to visualize original graphic design work across golf accessories, packaging, and soft and hard goods products, then execute the technical files needed for vendor development. This role demands a high level of detail and technical precision, delivered in a fast-paced environment. Essential Functions and Key Responsibilities: Visualize and design original graphic concepts for golf accessories, packaging, and soft and hard goods products. Design and develop original logos, brand marks, and identity guidelines. Concept and create graphic designs for golf ball packaging. Execute detailed, production-ready technical files and tech packs for vendor development. Partner with hard goods, soft goods, and accessories teams to ensure design intent translates accurately to manufacturing. Research and ideate creative concepts for Ecommerce and accessories projects. Performs other related duties and assignments as required. Knowledge and Skills Requirements: Advanced skills in Adobe Illustrator, Photoshop, InDesign, and Acrobat, with the ability to learn new industry-standard software. Strong illustrative ability with a keen sense of color, visual layout, and typography. Ability to translate creative concepts into precise, production-ready technical files and tech packs. Understanding of materials, fabrics, and textures as they apply to soft goods execution. Clear communicator who collaborates effectively with peers and cross-functional teams, and is receptive to constructive feedback. Highly organized with strong attention to detail and a consistent ability to meet deadlines. Comfortable managing multiple projects at once in a fast-paced, global environment. Passion for and knowledge of golf pr

The Sr. Enterprise Applications Analyst, Order Management owns the health and evolution of TaylorMade's Oracle EBS Order-to-Cash platform across global operations. This role translates business requirements into scalable O2C solutions, partnering with Sales, Operations, Finance, and Supply Chain to keep systems aligned with commercial goals. Reports to the Solution Architect, ERP Applications. Essential Functions and Key Responsibilities Configure and maintain Oracle OM module setups: order types, transaction types, workflow assignments, hold definitions, pricing rules, and shipping parameters. Deliver end-to-end O2C support spanning Order Entry, Pricing, Scheduling, Shipping Execution, and Receivables integration, including inbound and outbound EDI order flows. Gather and document business requirements using Oracle AIM methodology; translate into functional specifications for technical development. Analyze current-state processes, quantify gaps, and design Oracle-standard solutions that deliver measurable efficiency gains. Develop and execute test plans for functional, SIT, and regression scenarios; perform root cause analysis on production defects. Support Oracle EBS integrations with third-party systems including WMS, 3PL, and EDI platforms across O2C processes. Create and maintain functional design documents, configuration workbooks, and end-user training materials. Knowledge and Skills Requirements Deep functional expertise across Oracle EBS O2C modules: Order Management, Advanced Pricing, Configurator, ATP/Global Order Promising, Shipping Execution, Inventory, and Receivables. Functional understanding of RICEW object design and O2C-adjacent integration architecture. Strong analytical and problem-solving skills with attention to detail. <

TaylorMade Golf is a global leader in golf equipment, driven by relentless innovation across clubs, balls, and accessories. Our North America Operations team balances service, demand, and supply across a fast-moving, seasonal portfolio. The Senior Manager, Supply Chain Analytics & S&OP is the analytical backbone of TaylorMade's North America Operations team. This role sits at the intersection of Sales, Supply Chain, Finance, and Operations — translating complex data into clear, actionable insights that drive cross-functional alignment and continuous improvement across the S&OP cycle. This individual provides leadership visibility into key performance trends through reporting, data validation, and analysis across planning, service, inventory, logistics, and operations. They also lead and develop a team responsible for delivering accurate analytics and strengthening business intelligence capability across the North America Operations organization. Essential Functions and Key Responsibilities: S&OP Analytics & Process: Supports the North America S&OP process by preparing analytics and review materials that align Demand Management, Supply Planning, Sales, Finance, and Operations around demand, supply, service, and inventory considerations. Directs the team's preparation of pre-read materials, variance narratives, and executive-level presentations for monthly S&OP cycles, lessons-learned reviews, and consensus forecast sessions. Develops scenario and trade-off analysis for executive reviews to support decisions on capacity allocation, product priorities, service levels, and inventory balance. Partners with Sales, Demand Management, and Supply Planning to identify root causes of forecast bias, service performance gaps, and planning misalignment. Contributes to S&OP process maturity initiatives — documentation, playbook development, gover

At TaylorMade, we are committed to building the best teams – starting with passionate and innovative individuals. We are looking for an experienced HR Business Partner to join our team and help us continue to build. This role has an opportunity to support our unique corporate culture where employees are engaged and creative to evolve the business and drive results. The HR Business Partner works with Executives and company leadership to strengthen employee and organizational capabilities. This role provides vital leadership in change management initiatives needed to support company culture and business strategies. Essential Functions and Key Responsibilities: Advise and coach leaders within assigned business units to maximize effectiveness in managing people and organizational challenges. Partner with company leadership to understand the business unit’s priorities, initiatives, financial requirements, and organizational structures to identify opportunities and challenges with hiring, retaining, and growing talent. Work closely with leadership in structuring and developing teams to maximize performance and employee engagement. Analyze areas of opportunity for development and training designed to enhance employee skills to be best in class and foster a culture of creativity and innovation. Ensure consistency and fairness, as well as alignment with Company policy and culture to improve employee morale and productivity. Responsible for headcount management and oversight within business units to align with Annual Operating Plan. Along with leadership, strategize to determine best utilization of open headcount based on business strategy. Establish credibility throughout the organization of people management using deep employee relations skills. Coach employees on various human

The Research Engineer – Mechatronics is a hands-on engineering role within the TaylorMade Research & Development team, focused on the design, prototyping, integration, and validation of electromechanical systems that advance golf equipment and player performance. This role demands deep practical expertise in mechatronics, sensor systems, electronic hardware, wiring, and embedded controls, combined with the ability to develop supporting software and user-facing tools. The ideal candidate is a builder and problem-solver who thrives in a laboratory and prototype environment, producing functional systems from concept through deployment. Essential Functions and Key Responsibilities: Design, prototype, wire, assemble, and test mechatronic and electromechanical systems used in golf equipment evaluation, performance measurement, and product development Develop and interpret wiring diagrams, schematics, and electrical specifications for custom hardware assemblies, test rigs, and IoT-connected devices Select, integrate, and characterize sensors (IMUs, load cells, encoders, pressure sensors, optical sensors, etc.) – including defining operating limits, calibration procedures, and signal conditioning requirements Design and implement IoT systems and wireless data acquisition platforms that capture real-time performance data from equipment and players Develop embedded firmware and control software for microcontrollers and microprocessors (e.g., Arduino, Raspberry Pi, STM32 or similar) to drive test automation and data capture systems Write clean, maintainable code to interface with hardware, process sensor data, and build internal and user-facing applications and interfaces; leverage AI-assisted development tools to accelerate prototyping and automate test routines; apply basic computer vision techni

The Product Manufacturing Engineer will lead industrialization activities of new golf ball designs, partnering with our manufacturing sites in Taiwan, South Korea, and other Asia-Pacific countries from prototype to commercialization. This role troubleshoots production issues, drives cost/quality/speed/yield improvements, and reports test data and summarized results to management and key stakeholders. Essential Functions and Key Responsibilities: Maintain regular communication (e-mail, video conference, etc.) with global vendors to align specs, timelines, and project direction. Coordinate tooling, prototypes, and first article builds through evaluation and testing. Support manufacturing execution to ensure products meet performance, conformance, quality, and cost targets through statistical process control data and charts. Own manufacturing readiness timelines for new product launches, driving tooling, first-article, and qualification milestones to meet product launch dates. Generate test data reports and summaries for Engineering Management supporting supplier and R&D development activities. Work cross-functionally to develop, manage, and distribute accurate and controlled documents / specifications for new product designs and manufacturing processes. Process Engineering Changes and documentation updates through controlled channels. Evaluate and contribute to the design of test equipment, set-up/test procedures, and QC/QA inspection processes. Support Continuous Improvement efforts across production processes, qualifications, test methods, and test equipment. Drive supply chain Continuous Improvement projects designed to reduce cost and defective rates. Ensure component measurement