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About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or co

About the Team The Human Data team at OpenAI is responsible for identifying and mitigating risks in advanced AI systems by designing evaluations, surfacing vulnerabilities, and collaborating closely with researchers to strengthen model reliability and public trust. About the Role As a Research Program Manager, you will lead initiatives that test the safety and robustness of OpenAI’s models through creative experimentation and structured evaluation. You’ll coordinate efforts across research and engineering teams to transform ambiguous risks into concrete research programs and influence future model development and deployment. We’re looking for people who are technically savvy, comfortable with ambiguity, and excited about shaping the future of safe AI. 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: Lead programs that explore unexpected model behaviors and identify failure modes. Translate vague or emergent risk signals into clear priorities and actionable research plans. Design and run creative evaluations, experiments, and red-teaming campaigns. Collaborate with research, product, and deployment teams to integrate findings into model training and deployment cycles. Develop repeatable systems for tracking model performance and understanding emerging behavior patterns. You might thrive in this role if you: Have strong experience in technical program management, with excellent organizational and communication skills. Are familiar with large language models, prompt engineering, or model evaluation techniques. Are comfortable managing fast-paced, high-uncertainty projects and shaping them from the ground up. Are creative and resourceful in devising new methods for testing model behavior and performance. Can effectively coordinate across technical and non-technical stakeholders to drive alignment and execution. About OpenAI OpenAI is an AI resear

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for signal integrity (SI) system design engineers who have a deep expertise in the SI area, and hold strong system level design knowledge 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: Lead system signal integrity (SI) design for AI supercomputer product in the data center application. Collaborate with chip, package, boards, rack and system engineers, design partners to drive system SI design and develop innovative interconnect and high-speed technologies Identify and evaluate new technologies and methodologies to improve signal and power integrity in product design, and contribute to the development of new products and technology by providing expertise in signal integrity Perform simulation and modeling to identify and troubleshoot signal integrity issues Lead system interconnect design, bring up and qualification As the scope of the role and team grows, understand and influence roadmaps for hardware partners for our datacenter networks, racks, and buildings. You might thrive in this role if you: Have at least 10 years of industry experience, including experience design hardware system and SerDes testing for data center applications Have a strong bias toward action, and won’t take no for an answer. Have experience and good knowledge of system design experience in the SI areas, from chip, SerDes, board, rack level Have ex

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Sydney. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production. Build full-stack systems that deliver customer value and sharpen how we learn. Embed closely with customer teams, understand their needs, and guide adoption of what you build. Scope work, sequence delivery, and remove blockers early. Make trade-offs between scope, speed, and quality; adjust plans to protect delivery. Contribute directly in the code when progress or clarity depends on it. Codify working patterns into tools, playbooks, or building blocks that others can use. Share field feedback that helps Research and Product understand where the models succeed and where they can improve. Keep teams moving through clarity and follow-through. You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work. Have scoped and delivered complex systems in fast-moving or ambiguous environments. Write and review production-grade code across frontend and backend using Python, JavaScr

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected. In this role you will Own technical delivery across multiple deployments from first prototype to stable production. Build full-stack systems that deliver customer value and sharpen how we learn. Embed closely with customer teams, understand their needs, and guide adoption of what you build. Scope work, sequence delivery, and remove blockers early. Make trade-offs between scope, speed, and quality; adjust plans to protect delivery. Contribute directly in the code when progress or clarity depends on it. Codify working patterns into tools, playbooks, or building blocks that others can use. Share field feedback that helps Research and Product understand where the models succeed and where they can improve. Keep teams moving through clarity and follow-through. You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work. Have scoped and delivered complex systems in fast-moving or ambiguous environments. Write and review production-grade code across frontend and backend using P

About Paytm: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology About Team Paytm's Unified Payments Interface (UPI) offering that enables users to make instant bank-to-bank payments directly from their linked bank accounts. About the Role We are looking for an AI Product Manager to lead the development of Agentic AI solutions for Paytm's UPI ecosystem. The role focuses on building intelligent, autonomous AI agents that enhance payment experiences, automate customer support, detect fraud, provide personalized financial insights, and optimize payment success rates. Key Responsibilities -Define product strategy and roadmap for AI-powered UPI experiences. -Build autonomous AI agents for payments, dispute resolution, customer assistance, and transaction recommendations. -Collaborate with Engineering, Data Science, Design, and Risk teams to deliver AI-first products. -Leverage LLMs, AI agents, and workflow automation to improve user engagement and operational efficiency. -Drive experimentation using analytics, customer insights, and A/B testing. -Ensure compliance with NPCI guidelines, privacy, and responsible AI practices. Superpowers/ Skills that will help you succeed in this role: · -3–8 years of Product Management experience in FinTech, Payments, or AI products. -Understanding of UPI, digital payments, and banking ecosystems. -Experience with Generative AI, LLMs, Agentic AI frameworks, and AI product development. -Strong analytical skills with SQL and product analytics tools. -Excellent stakeholder management and execution capabilities. Why join us: A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average r

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. The Wizards Play Network (WPN) plays a key role in this mission — assisting retailers, nurturing active play communities, and delivering excellent player experiences. The WPN Retail Development Representative takes charge of growing and sustaining the Wizards Play Network throughout a varied, multi-market region spanning APAC. This position handles partner onboarding, retailer relationship management, and market expansion work across multiple markets characterized by diverse languages, regulatory settings, and retail progression levels. Based in Singapore, the role is at the operational hub of the region. It enables efficient travel connectivity, aligns timezones across the group, and is close to the region's most developed WPN market. What You’ll Do WPN Partner Onboarding & Retailer Support Lead the end-to-end onboarding process for new WPN retail partners across all seven markets Serve as the primary point of contact for existing WPN retailers, handling critical issues, product support queries, and account management Maintain accurate records of retailer status, tier, and engagement across the region Wizards Play Network Development Develop and carry out Wizards Play Network growth plans, to drive store growth and develop the Southeast Asia region. Identify and prioritize new partner opportunities based on local market potential to help expand play and commercial availability across the region. Support in-store and community play programs to drive product velocity through the retail channel Track and report on regional Wizar

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Technical Program Manager Overview As a Senior Technical Program Manager at Mastercard, you’ll bring your expertise with conceptualizing, coordinating and driving technology projects, and coaching Agile practices in high-performing, self-organizing development teams. We’re building a global B2B, microservices-based platform to help businesses of all sizes streamline how they manage payments when buying or selling products & services. As a global business, the projects you lead for Mastercard will deliver software operating at massive scale requiring a focus on performance, security, and reliability. This role will support our Network Solutions team within Payment Networks, assisting the development team with building out software solutions for Mastercard. Role: • Dive as deep as you want into the tech stack, the integration patterns, the organizational capabilities, and the company wide assets that can be leveraged to provide technical solutions to customer problems. • Contribute to the strategies, design choices, and even the cloud infrastructure necessary to build comprehensive and achievable execution plans to deliver high-profile new features and capabilities for our customers. • Drive the execution of an initiative that may span multiple teams and integrations, reporting meani

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Facilities Coordinator Corporate Solutions (Integrated Facilities Management) ROLE AND RESPONSIBILITIES OVERALL ROLE: The Facilities Coordinator will lead the day-to-day client activities for the assigned property/facility and be the on-site key point of contact for key stakeholders and/or client. The role will assume overall responsibility for site budgets, accounting and finance, maintenance and operations, contract services, purchasing of material, equipment & supplies, occupancy services and helpdesk. MAJOR RESPONSIBILITIES § Relief Reception Duties – Create and maintain a welcoming environment by greeting and assisting all visitors, staff and employment candidates – Provide general reception services by responding to general office emails and public inquiries – Post conference room schedules, notices, and office communications as needed – Other duties as assigned by supervisor § Administrative Duties – P

About the Team OpenAI’s mission is to ensure that AGI benefits all of humanity. Our Internal Communications team helps employees stay informed, connected, and engaged so they can focus on building and deploying safe and impactful AI. We partner across the company to explain what’s being built, why it matters, and how it connects to our strategy and mission. About the Role We’re looking for an internal communications professional to help employees understand the work happening across OpenAI’s research and product organizations. You’ll translate technical developments, product milestones, and team priorities into clear, useful communications that connect people to the work and to one another. Reporting to the Internal Communications lead for Research and Product, you’ll be the second member of the team dedicated to this part of OpenAI. You’ll independently own specific communications programs and projects within the broader strategy, build trusted relationships with technical teams, and identify stories and information employees need to hear. You’ll also help build practical processes that allow a small team to support a broad and fast-moving organization. This role requires strong writing and editing skills, technical curiosity, and sound judgment. You should enjoy asking questions, making sense of complex information, and moving work forward independently, with guidance from your manager on broader strategy and sensitive issues. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Own recurring communications programs that help employees understand research and product priorities, progress, and upcoming milestones. Lead communications for defined projects and initiatives, developing plans, gathering input, drafting content, coordinating reviews, and managing delivery. Translate complex technical and research concepts into accurate, accessible

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Partner Operations Manager – Global Alliances & Channels This is an individual contributing role to help lead and drive operational excellence and accelerate global partner growth by optimizing our ecosystem's lifecycle for our premier AI-Powered Process Automation platform. Location: Chennai, India | Work Model: On-site About the Team The Global Alliances and Channels team at Appian is a fast-paced, dynamic organization that plays an integral role in driving Appian's growth globally. We are passionate about driving digital transformation by bringing Appian solutions that provide the speed, agility, and efficiency needed for enterprises to compete and grow. Our team is dedicated to supporting an extraordinary global network, ensuring our partners are fully equipped to deliver Enterprise-Grade Orchestration at scale. The Opportunity At Appian, our values of Intensity and Excellence define who we are. We set high standards, approach challenges with ambition, and hold ourselves accountable to achieve the best results. As a Partner Operations Lead, you will oversee local team members in Chennai while also delivering high-value operational support, executive administrative assistance, and improvements to support our global alliances experience. What You’ll Do Own the deal registration lifecycle for global partners, including deal eligibility validation, status monitoring, and escalation to ensure timely approvals, accurate CRM attribution, and program compliance. Act as the primary conduit between partner deal submitters, the alliance team, and field sales

Position Overview: A Junior Research Analyst within the Diligent Market Intelligence function supports subject matter expertise in specialized research areas such as compensation, governance, activism, voting, and risk. Their main responsibilities include assisting in the design and management of data collection methodologies, overseeing third-party service provider workflows, and ensuring high-quality, timely data delivery. They are also expected to execute manual data collection from global sources, maintain strong quality assurance practices, and collaborate closely with Product and Engineering teams to ensure operational efficiency and accuracy. Additionally, Junior Research Analysts take ownership of specific daily and weekly tasks, contribute to ongoing projects, and play a key role in training service providers while keeping process documentation clear and up to date. The role requires strong numeracy, attention to detail, independent work habits, and a proactive approach to continuously improving research products and processes. Key Responsibilities: Proactive communication and management of outsourcer workload. Conduct data collection tasks to uphold the integrity of our database and keep it current. Execute systematic checks to identify data inaccuracies and operational inefficiencies as per predefined protocols. Provide regular updates and reports to the Vertical lead on progress and challenges. Take ownership of specific daily and weekly tasks, as well as ongoing projects within the assigned research vertically. Required Experience/Skills: Entry level Analytical approach and problem-solving attitude Strong written and verbal communication skills Ability to manage deadlines Ability to adapt to difficult workload demands, e.g., time/resource constraints Proficiency in Microsoft Office, especially Excel About Us Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 70

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. Our relevant publications include: Safety at every step OpenAI GPT6 System Card OpenAI Model Spec GPT-Live ChatGPT Images 2.5 About the Role We are hiring a Model Policy Manager to focus on the safety of multimodal models. In this role, you will shape how OpenAI identifies, evaluates, and addresses risks in multimodal AI models - such as GPT-Live and ChatGPT Images - as well as multimodal capabilities in frontier AI models. 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: Design and maintain model policies for audio, image, video, and omni-modal behavior. Translate theories of harm and threat models into behavioral safety policies, evaluation criteria, grading guidance, and safeguards. Identify and analyze safety regressions and failure patterns to identify gaps in existing policies and inform policy iteration. Develop policy artifacts that support model training, evaluation, and deployment, including behavior i

About the team OpenAI’s Forward Deployed Engineering team partners with banks, asset managers, insurers, and private capital firms to deploy production-grade AI systems in high-stakes financial environments. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into reliable, auditable systems that create measurable business impact. Our work turns early deployments into repeatable solution patterns, operating standards, and evaluation practices that scale across regulated financial institutions. About the role We are hiring a Forward Deployed Engineer (FDE) to lead end-to-end deployments of OpenAI’s models inside financial services organizations where correctness, latency, explainability, and control matter. You will work with customers who are experts in investment banking, trading, risk, compliance, underwriting, research, operations, or investment decision-making, translating complex workflows, data constraints, and regulatory requirements into production systems. You will measure success through production adoption, workflow efficiency, risk reduction, revenue impact, and evaluation-driven feedback loops that inform product, model, and GTM strategy. You’ll work closely with Product, Research, GTM, Security, Legal, and GRC to deliver systems that meet enterprise standards for governance, auditability, and operational resilience. You will also play a central role in shaping OpenAI’s Financial Services offering — identifying high-value use cases, defining solution patterns, and building the first repeatable deployments that scale across institutions. Learn more about some of our work with financial institutions . This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% may be required. In this role, you will Design and ship production AI systems around models, owning integrations,

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Senior Strategy & Supply Chain Associate is responsible for proactively assisting in the development of sourcing strategies that are aligned with business and program needs and then driving execution of those strategies while ensuring quality, delivery, and cost targets are exceeding expectations. Duties and Responsibilities Strategic Problem-Solving: Apply a structured, hypothesis-driven approach to diagnose complex supply chain challenges, identify root causes, and develop data-backed solutions. Data Analysis and Modeling: Conduct quantitative analysis using large datasets from our ERP and supply chain data. Develop and maintain analytical models to optimize key supply chain metrics such as inventory levels, lead times, and product economics. Process Optimization and Redesign: Lead high-impact projects to re-engineer core supply chain processes, leveraging best practices to drive significant improvements in efficiency, cost, and resilience. Cross-Functional Collaboration: Serve as a trusted advisor to internal stakeholders in Engineering, Finance, and Operations. Effectively communicate complex analyses and recommendations to senior leadership, fostering alignment and driving execution. Performance Management: Design, implement, and monitor key performance indicators (KPIs) and dashboards to track supply chain health and project performance. Provide regular, insightful reports to management on progress against strategic objectives. Supplier and Sourcing Strategy: Collaborate with the Procurement team to analyze supplier capabilities, assess market dynamics, and develop commodity and category strategies that align with bot