Learning Tools Manager in United States

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity At Postman, we aim to put the customer at the center of everything we do. With over 45 million users, the Customer Education team is at the forefront of supporting our customers on their journey with Postman. We build learning programs that boost adoption, create better developers and simplify our customers’ journey. Postman is seeking a Technical Trainer to bring energy, passion and skill to lead customer workshops and training for our enterprise customers both on-site and virtually. Our ideal candidate is someone who has extensive experience using Postman and has trained large organizations in the past. You will be responsible for leading ILT modules that support different user roles, industries and skill levels. The role will also manage ongoing design and delivery enhancements, always keeping the customer at the center. What You’ll Do Design and deliver trainings that help customers understand how to use Postman effectively Develop training materials, such as demos and in-product exercises that help customers and internal teams understand how to use Postman at all levels. Work closely with other teams, including

Job Details: Job Description: Responsible for managing the relationship between Intel Data Center and AI (DCAI) and Dell ISG with focus on driving sales strategy of existing Xeon and AI product offerings while expanding Intel design portfolio within Dell's future roadmap to ensure the acceleration of Xeon and AI adoption. Through the design-in process, demonstrate the skills to showcase a quantifiable preference to Intel technology and integrate key learnings into Intel and Dell marketing organizations. The role is critical to establish great relationships and trust with key individuals at Dell and Intel business units and help both companies understand each other's challenges, opportunities to work towards a solution(s) that allows both companies to succeed. The candidate will have enough technical depth to understand the Intel product roadmap, the customer roadmap needs and what the competition is offering and intelligently recommend how to sell the Intel value proposition. Key Responsibilities include: Serve as sales and technical lead for multiple Dell PowerEdge and AI server programs based on Intel Xeon processors and AI accelerators, and collaborate with marketing team to drive complete end-to-end execution. Partner closely with Intel and Dell engineering, product, marketing, and program teams worldwide to align on features, schedules, quality, and issue resolution, ensuring successful product execution. Drive strategic design-win engagements for future Intel Xeon and AI accelerator products, influencing both Intel and Dell roadmaps through deep customer insight, competitive analysis, and early requirements gathering. Act as the primary interface between Intel and Dell, rapidly resolving business and technical issues, managing escalations, and ensuring the highest levels of cus

Senior Forward Deployed Engineers (FDE) sit at the intersection of enterprise customer environments and a fast-moving internal product. They partner directly with customers to design, build, troubleshoot, and improve production solutions, and they are ultimately accountable for helping customers get to production. This role is best suited for engineers who want to own technical outcomes end to end: understanding what a customer is trying to build, shipping the integration, and feeding learnings back into the product roadmap. This role will be based remotely in the United States (East Coast). Responsibilities Customer success Serve as the primary technical owner for customer engagements from initial discovery through production rollout Understand each customer's architecture, constraints, and definition of success, and drive toward that outcome Manage expectations, communicate risks clearly, and help customers navigate technical decisions with confidence Technical integration Build the connectors, pipelines, and supporting tooling needed to make the platform work inside real enterprise environments Write production-quality code, troubleshoot issues, and implement fixes directly in active workstreams Work effectively within customer environments that have different stacks, infrastructure, and integration constraints Product feedback loop Capture product feedback with precision, including logs, reproduction steps, and a clear proposed path forward Use customer engagements to identify product gaps, surface recurring patterns, and help improve the product roadmap Document technical decisions and tradeoffs clearly so product and engineering teams can extend the work Workstream collaboration Partner closely with product and engineering teams to help turn field patterns into reusable product capabilities Contribute directly in focused workstreams by helping drive technical design, implementation, and delivery Make sound engine

About the Team The Cooperative AI team is scaling to devices and embedded operations and user experiences. Our model-powered scaled workforce and knowledge system are moving on to the edge and powering our devices and edge experiences. By leveraging OpenAI’s state-of-the-art models and technologies, in production and in the lab, we develop systems that reason and work autonomously with customers and with our workforce responsible for operational work. We carry real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and now devices to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. About the Role We are looking for a Technical Lead Manager to lead a team of engineers building AI-native embedded experiences and operations-forward systems. In this role, you will perform both hands-on technical leadership and small team management. You will drive business outcomes, architecture and technical strategy for complex systems, contribute directly to implementation, and help grow a high-performing team. You will work closely with internal stakeholders to understand operational challenges, identify high-leverage opportunities for automation, and deliver solutions that create measurable impact. This role is ideal for someone who enjoys moving between technical design, coding, mentoring engineers, and working directly with users t

About the Team The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers. Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale. We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into the evolution of our training platform. About the Role As a Software Engineer, Platform Systems, you will design and build distributed systems that provide visibility into large-scale training workloads and help operate them reliably at scale. You’ll work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimize massive distributed training jobs. This infrastructure is critical to operating OpenAI’s training stack and is actively evolving to support new use cases and increasingly complex workloads. This role sits at the core of our training infrastructure, blending systems engineering, performance analysis, and large-scale debugging. In This Role, You Will Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior Improve observability, reliability, and performance across OpenAI’s training platform Debug and resolve issues in complex, high-throughput distributed systems Collaborate with systems, infrastructure, and research teams to evolve platform

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 Director, Finance Business Partner, A&CS Overview • Mastercard Services provides Consulting and Innovation Services, Insights & Analytics, Managed Services and more to customers around the world. These lines of business are supported by both Sales and Delivery organizations. • The Director will be part of the A&CS Global Finance Team and a strategic value added business partner to the A&CS Delivery team. He or she will provide vision, leadership and innovation while reporting and supporting short term and long term business and financial objectives. • The Director will be responsible for developing and managing relationships in a complex matrix organization with business partners at multiple career levels in the organization • Are you motivated to understand the complexity of a business unit and apply your learnings to identify insights, opportunities and risks, and partner with the Group Executive to achieve the business and financial goals? • Have you ever been part of a matrix global organization where your are the financial lead and driving force of the financials? • Do you enjoy mastering complex puzzles, where there are customers across the globe and you are responsible in understanding them and how they impact the P&L? Role • Planning & Analysis o Finance lead fo

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brain of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As a NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA Silicon Codesign Group is seeking a versatile engineer to join the HW bring-up methodology team. The SCG team is uniquely positioned to have an end-to-end view of the product development cycle - from early architecture definition, through bringup, to product release. What will you be doing: Led end-to-end planning and on-time execution of Nvidia's new chip bringup effort, from pre-silicon through production deployment. Coordinate multi-functional teams across Architecture, Build, Validation, DFT, SW, System, and Operations to drive shared bringup achievements. Improve cross-team communication, work, and handoffs. Develop and standardize methodologies, processes, and workflows for silicon bringup, creating reusable checklists and playbooks. Drive scheduling, equipment, and material logistics to support ambitious NPI and production schedules. Lead post-action reviews and convert learnings into concrete process improvements for future silicon and solution bringups. Contribute to post-silicon learnings that feed back into architecture, design, and pre-silicon

About the Team The Dasher & Logistics team is responsible for ensuring every delivery is completed with speed, accuracy and a positive Consumer, Merchant and Dasher experience. Dasher & Logistics owns initiatives that touch all parts of the Dasher life cycle ranging from supply & demand, to cost & quality, to Dasher pay, to Dasher retention, to order batching and beyond. We care about metrics like delivery times, cost per order, delivery quality, dasher compensation, and many more! About the Role We are hiring an Associate Manager to help lead strategy and execution for our Dasher & Logistics regulatory markets, the growing set of cities, states, and countries where Dasher pay, benefits, and working conditions are shaped by minimum earnings guarantees, pay transparency requirements, and other logistics specific regulation. You'll own a portfolio of KRs across some of our highest priority business problems by getting into the weeds to understand what's happening on the ground, using data and customer insights to identify opportunities, developing and testing hypotheses, and partnering cross-functionally to bring solutions to life at scale. You will report directly to a Senior Manager on the Dasher & Logistics team. You’re excited about this opportunity because you will… Own a portfolio of KRs across our regulatory markets, setting the strategy and building the execution plan to hit your goals Use a data-driven approach to investigate problems, creating insightful analysis from a combination of quantitative and qualitative information, and implement next steps Operate at the lowest level of detail in order to build strong foundational knowledge of your problem space and provide recommendations for leadership Define and test hypotheses through experimentation, leverage AI to accelerate learnings, and scale successful strategies across the org Work cross-functionally across multiple teams to drive alignment and impac

We’re looking for a strategic operator to help advance OpenAI’s life sciences capabilities and translate them into meaningful scientific and commercial impact. Working closely with research teams and external partners, you’ll identify opportunities to improve AI models, products, and supporting infrastructure, and lead partnerships and strategic initiatives that bring these capabilities into real scientific workflows. This role combines partnership development, strategic judgment, and hands-on execution. You’ll help determine where OpenAI can make the greatest contribution, identify the expertise and resources needed, and bring together the right partners to move from an idea to demonstrated impact. In this role, you will: Shape capability priorities. Work with research and cross-functional teams to identify and prioritize new life sciences capabilities, balancing scientific value, technical feasibility, and commercial potential. Build and execute partnerships. Develop data, research, and commercial partnerships with biotechnology companies, pharmaceutical organizations, and other participants in the life sciences ecosystem. Translate capabilities into real-world applications. Partner with external organizations to apply OpenAI’s technology in scientific workflows, evaluate its usefulness, and use those learnings to inform further development. Structure effective collaborations. Work with legal, finance, research, and other teams to define partnership scope, align incentives, and navigate data access, intellectual property, commercial terms, and governance. Lead strategic initiatives. Identify and own projects that advance scientific capabilities and create long-term value for OpenAI, including licensing, joint development, and new applications of AI. Drive operational execution. Establish clear objectives, milestones, and ownership; coordinate resources; and resolve obstacles across internal teams and external partners. Expand access to expertise. Identify gaps in

The Forward Deployed Engineer, Staff (FDE) is a high impact technical leader responsible for translating the immense power of Talkdesk's Agentic AI platform into transformative, production grade solutions for our strategic enterprise customers. You are a unique blend of a highly experienced software engineer, a technical project lead, and a hands-on builder. You own the technical execution for deployments, mitigate technical risks, and drive successful customer outcomes across assigned projects. This role is for the experienced builder who excels in high stakes, customer facing environments and is passionate about defining the future of Customer Experience Automation. Responsibilities Technical Project Leadership & Architecture: Act as the technical lead for complex deployments. Design and implement the architectural blueprint for AI agent solutions, manage cross-system dependencies, and ensure designs meet stringent enterprise standards for security and scale. Hands-On Engineering & Delivery: Write production-grade code and leverage Talkdesk and 3rd-party APIs/SDKs to design, build, test, and deploy AI agents. Drive the execution from prototype through to production deployment, ensuring technical quality. Technical Consultation & Alignment: Serve as a trusted technical expert for our AI solutions. Confidently address deep technical inquiries, mitigate technical risk, and build trust with customer Engineering Directors, and technical architects. Influence Product & Engineering Roadmap: Synthesize and codify deployment learnings into reusable solution patterns and tooling. Provide actionable feedback to core Product and Engineering teams to help inform future product direction. Technical Guidance: Mentor junior FDEs and technical specialists on best practices for complex AI architecture, production quality, and client-facing technical delivery. Who You Are We are looking for an autonomous, results-driven technical leader who thrives at the intersectio

About us EVERY™ is a leading VC-backed food tech ingredient company and market leader using precision fermentation to create animal proteins without the animal for the global food and beverage industry. EVERY™ is a team of passionate change-makers who are reimagining the factory farm model with a kinder, more sustainable alternative. Leveraging precision fermentation to produce hyper-functional and one-to-one replacement proteins from microorganisms, EVERY™ is on a mission to decouple the world’s proteins from the animals that make them. We are a passionate, determined (and fun!) team with a vital objective, and we're on the lookout for like-minded people to join our mission. For more information, visit www.every.com The Downstream Process Engineer II will be an integral member of our downstream process development team. You will use experimentation to optimize Every’s production process and then see the results of your changes in action at pilot and commercial-scale biomanufacturing sites. This is an excellent opportunity for someone with laboratory and tech transfer experience, who wants to make an impact at scale. What you'll Accomplish Optimize the Every downstream process via an iterative cycle. Improvements are developed in the laboratory, scaled up to an external pilot plant, and learnings are taken back to the lab for further troubleshooting and improvement. Perform various unit operations at the Every HQ such as TFF, depth filtration, chromatography, spray drying and other purification/separation processes. Develop and review tech transfer documentation to ensure successful scale up trials. Travel to external pilot plants to review the scale up of novel processes. Coordinate with third parties such as pilot scale equipment vendors to arrange internal and external trials. Partner with Every scientists and engineers to bring their bench ideas to pilot scale. Analyze results and report data to enable appropriate interpretation and

Overview: We’re expanding our sales organization and looking for a true hunter to drive growth across our Qsight suite of data solutions. This is a high-impact, high-visibility role — you’ll be a key driver of the business’s growth trajectory and an integral voice in shaping its forward direction. If you thrive on building territory, opening doors, and turning data into a compelling story that resonates with senior decision-makers, we want to talk to you. This isn’t just another sales seat — it’s a chance to help define how the business grows. You’ll have direct influence not only on revenue, but on the products and strategy that follow. This position can be remote with ET working hours. What You’ll Do: Own and grow your territory like it’s your own business — working with an existing pipeline and expanding it Sell across the full range of Qsight data services, including both syndicated and custom data solutions Translate complex data sets into clear, compelling narratives that resonate with brand and business leaders Prospect proactively and consistently to build a healthy, sustainable pipeline Engage and sell directly to senior leadership and C-Suite stakeholders Write and structure proposals that clearly articulate value and drive deals forward Serve as a front-line source of strategic insight — feeding learnings from the market back into both sales strategy and product development What You Have: 4+ years of experience selling syndicated and/or custom data to brands A demonstrated ability to tell a story with data, not just present it Strong, self-driven prospecting skills and a hunter mentality Proven experience selling to senior leadership and C-Suite audiences Excellent proposal writing and structuring skills An entrepreneurial mindset — comfortable owning and growing a territory independently Experience selling to CPG or Professional Beauty brands is a plus, though not required What We Offer: The total compensation range for this role is $200,000

About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model-powered scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. By leveraging OpenAI’s state-of-the-art models and technologies, some already in production, others still in the lab, we develop systems that reason and work autonomously for a wide variety of operational work. We leverage real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and more in order to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. About the Role We are looking for a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI. This role sits at the intersection of applied AI, research, and product engineering. You’ll lead a team that builds systems that know how to learn from humans, and carry real workloads across, sales, support, finance, IT, and more, while staying deeply involved in the technical work. You will operate in a highly iterative environment, deploying systems directly to internal users, gathering rapid feedback, and evolving solutions in real time. This is a high-ownership role for someone excited about building 0→1 systems, working closely with customers, and shaping how AI transforms operational wor

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: The Composer by SoFi Segment Manager plays a key role in operating, scaling, and evolving the Composer business. This individual will own critical workstreams spanning trading and brokerage operations, process design, member servicing, risk and controls, and strategic initiatives. The role will partner closely with Product, Engineering, Operations, and Compliance to translate business needs into scalable operating solutions. The ideal candidate combines strong brokerage expertise with structured problem-solving, sound judgment, and the ability to independently drive complex initiatives from problem identification through implementation. What you'll do: Own and support critical Composer business operations, including trading, brokerage servicing, account operations, and complex operational escalations. Serve as a subject matter expert across Composer's operating model, including key brokerage workflows, systems, dependencies, and controls. Design and continuously improve end-to-end member journeys across key Composer experiences, identifying friction points and ensuring scalable servicing solutions. Serve as an escalation point for complex or high-impact member issues, driving resolution and translating learnings into broader process improvements. Partner across the business to identify oper

About the Team The Compute Strategy team works across research, engineering, product, finance, legal, and go-to-market teams to develop the partnerships, infrastructure capacity, and commercial models needed to advance AI infrastructure. About the Role As a member of the Compute Strategy team, you will develop commercial strategies for AI infrastructure partnerships and offerings. You’ll translate technical infrastructure opportunities into partnerships, transactions, and revenue. We’re looking for a commercially minded strategist who combines knowledge of semiconductors and AI infrastructure with strong financial judgment and the ability to execute complex partnerships. 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: Develop strategies for compute partnerships, vendor access, and infrastructure capacity. Structure and execute transactions with chipmakers, compute providers, and other infrastructure partners. Develop pricing frameworks and business cases for infrastructure-related partnerships. Evaluate partner technologies, strategic fit, commercial terms, and execution risks. Coordinate work across research, engineering, product, finance, legal, and go-to-market teams. Turn partnership learnings into repeatable operating models that can scale. You might thrive in this role if you: Have experience in strategy, corporate development, partnerships, or infrastructure transactions. Understand semiconductors and AI infrastructure. Can evaluate complex technical and commercial opportunities. Bring strong financial, analytical, and strategic judgment. Can influence and align technical and business stakeholders. Have negotiated or executed complex partnerships. Are comfortable operating in a fast-paced environment. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence ben