Product And Fitting Specialist Jobs

About the Team Full Stack engineers within the Fleet Scheduling team are dedicated to building intuitive and scalable interfaces that empower researchers to efficiently manage AI workloads across some of the largest supercomputers in the world. Our focus is on developing robust, high-performance systems that provide real-time insights, resource tracking, and seamless interaction with complex infrastructure. We aim to optimize resource allocation, minimize operational overhead, and create user-friendly tools that enhance researcher productivity and system transparency. About the Role You will design, develop, and operate web-based systems that provide a powerful and intuitive interface to OpenAI’s supercomputing clusters. You will collaborate closely with researcher, product and infrastructure teams to deliver scalable solutions that enable seamless monitoring, job scheduling, and resource management. This is an opportunity to work at the cutting edge of AI infrastructure, designing tools that scale to exascale workloads while maintaining usability and performance. 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 develop full-stack web applications to track, monitor, and manage large-scale AI workloads in real time. Collaborate with researchers and infrastructure teams to translate complex operational needs into intuitive UIs and scalable backends. Build data visualization tools (e.g., Gantt charts, dashboards) to provide insights into job scheduling and resource allocation. Optimize backend services to handle massive data throughput while ensuring low-latency performance and high availability. Implement frontend components that provide seamless interactions with scheduling, storage, and compute systems. Ensure system security, reliability, and scalability across globally distributed supercomputing infrastructure. You might thrive i

About the Team OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Industrial Compute team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance. We work closely with manufacturing partners, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service. About the Role We are seeking an experienced Quality Engineer (QE) to drive Product and Site Quality initiatives across OpenAI’s infrastructure ecosystem. In this role, you will establish, implement, and manage a comprehensive, quality-focused program across our global supply chain network, ensuring excellence from design through deployment. You will be responsible for end-to-end quality of finished products, as well as maintaining and elevating manufacturing site quality standards. Working cross-functionally with Design (NPI) and Engineering teams, you will help achieve First Pass Yield (FPY), quality, and reliability targets. This includes leading site and fixture validation efforts, driving yield improvement initiatives (Yield Bridge, CPI), and implementing robust corrective and preventive actions (CAPA) to resolve issues at their root cause. In addition, you will play a key role in supplier quality management, assessing and qualifying new vendors, overseeing ongoing supplier performance, and ensuring readiness for future business awards. You will lead vendor audits, monitor key performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced operational risk, and high system reliability. By partnering closely with external suppliers and internal Engineering and Operations stakeholders, you will help ensure OpenAI’s datacenter infrastructure is delivered on time, meets the highest quality standa

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role can be based in Delhi, Mumbai or Bangalore. 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: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.

About the team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and startups. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to late-stage startups. About the Role We are seeking a technically proficient, business-minded Applied AI Engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Applied AI Lead. This role is based in our San Francisco or New York offices. 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: Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale. Provide proactive guidance to maximize business impact and accelerate application development. Experiment and prototype alongside customers, demonstrating practical use cases. Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources. Synthesize and deliver valuable feedback to the Product and Research

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Sydney, Australia. 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: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Seoul, South Korea. 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: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, buil

About the Team OpenAI’s AI Success Engineer team partners with the world’s most ambitious government & partner organizations to translate cutting edge AI into real business and mission impact for governments of all levels from Local, State, Federal, and International. We guide customers and users journey from the first time they try ChatGPT Enterprise, automate a workflow, develop and execute a new skill, and create their first agent to scaled enterprise adoption of ChatGPT, Codex, our API and other novel capabilities. Our work spans technical integration and enablement, workflow transformation, inspiring and upskilling AI literacy and confidence across the workforce, sustained program, product and new capability delivery. Most importantly, we help each member of our customer's workforce, their teams, programs and missions meet their total potential. Our government customers have vital missions, and we must meet them with game-changing technology. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the center of that mission. About the Role Governments work at a scale that is truly exponential on missions that are of critical importance to people, communities and nations. The AI Success Engineer role is the primary post-sales relationship for OpenAI’s most important customers. You are responsible for the end-to-end account management of critical Government and Partner customers. You will be helping Government Leaders/Partners appropriately and effectively use AI for their mission, while simultaneously investing in ensuring their people are AI-enabled and ready to advance positive outcomes that their constituents depend on them for. You will drive: the impact of our tools on their mission, account health and adoption, ensuring technical readiness, creating and executing on the deployment strategy, enabling, educating and training their workforce, identifying new use cases and upsell opportunities, and d

About The Team Our mission is to bring OpenAI products to life for every customer. Demo Experience equips customer-facing teams with the experiences, systems, and confidence to make frontier capabilities tangible, relevant, and trustworthy. OpenAI’s products and customer needs are evolving rapidly. Demo Experience closes the gap between a frontier capability and a credible customer experience—making new capabilities understandable, demonstrable, and reusable quickly at scale. Working across Product, Engineering, Marketing, Operations, and GTM, we turn recurring customer needs into reusable capabilities and raise the standard for every customer conversation. About The Role Demo Experience Engineers work at the intersection of product engineering, technical storytelling, and GTM execution. You will own ambiguous, high-leverage problems end to end—from building agentic prototypes to creating the infrastructure and self-service tools that make them reliable and reusable. Your work will help customer-facing teams move faster, reduce avoidable failures, and translate frontier product capabilities into clear customer value. You will also turn recurring patterns from customer-facing work into product feedback, launch-readiness improvements, and scalable systems. Success in this role means teams can demonstrate new capabilities sooner and with greater confidence. Recurring requests become reusable capabilities instead of one-off work. Demo experiences are accurate, reliable, and safe. Insights from customer-facing work improve product and readiness decisions. 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 Own end-to-end demo readiness for new and priority product capabilities, including environments, integrations, synthetic data, evaluations, reliability checks, and fallback paths. Build compelling prototypes, LLM agents, and reference flows that mak

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Location: Monterrey Hybrid: Three Days in the Office Our Enterprise sales team is expanding and we are seeking a qualified Account Executive with expertise in the industry and a “hunter” mentality. In this role you will use your creative prospecting skills to strategically pursue net new business and customer acquisition. Your role will encompass prospecting, developing, and closing business within a timely manner while focusing on the clients’ requirements. This role is a unique opportunity to contribute in a meaningful way to high visibility, high impact projects. You will be successful in this role if you are able to act with autonomy, take accountability and be open to new perspectives and ideas. Our team carries a deep curiosity to learn and are always looking for innovative ways to meet and exceed our customers needs. AS AN ACCOUNT EXECUTIVE AT SNOWFLAKE YOU WILL: Become an expert on Snowflake’s product and conduct discovery calls, customized demos, and presentations to prospective customers Be the trusted advisor to the customer by understanding their existing and future IT roadmap to drive the Snowflake solution within the marketplace Prospect qualification and the development of new sales opportunities and ongoing revenue streams Land, adopt, expand, and deepen sal

Base Location: Noida (Extensive Pan-India Travel Required) Role Overview We are looking for a high-ownership, execution-first General Manager to drive cross-sell initiatives by working closely with offline business teams and partners across locations. This role is critical in bridging central product and business teams with on-ground leaders, ensuring rapid execution, structured feedback loops, and strong MIS-driven decision making. The role demands significant travel, deep coordination with senior field leaders, and the ability to operate with an entrepreneurial mindset in ambiguous, fast-moving environments. Key Responsibilities ● Act as the single-point owner for driving cross-sell initiatives through offline teams across regions ● Travel extensively across cities to work with regional and city heads, align on targets, incentives, and execution plans, and resolve on-ground bottlenecks in real time ● Ensure consistent execution of cross-sell programs across all locations ● Drive adoption of new products through offline channels and identify high-potential locations and teams for scaling ● Build and refine cross-sell playbooks in collaboration with central teams based on field learnings ● Act as the voice of the field by gathering structured feedback from frontline teams and leaders ● Translate qualitative on-ground feedback into clear, actionable inputs for product, operations, and leadership teams ● Build and own robust Excel-based MIS dashboards covering cross-sell performance, location-wise metrics, leader-wise performance, and funnel conversion ● Ensure data accuracy, reporting discipline, and timely business reviews ● Use MIS and insights to drive accountability and course correction ● Work closely with senior offline leaders, product, operations, and analytics teams ● Influence without authority and drive alignment across multiple stakeholders Candidate Profile Experience ● 8–14 years of overall experience (flexible for exceptional candidates) ● Strong ex

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The primary responsibility of an Inventory Control Coordinator – Specialty Returns is the daily processing of patient returns. This includes evaluating both authorized and unauthorized returned patient shipments to determine if products will be credited to the patients accounts and if the products can be returned to stock, reshipped to patients, returned to the manufacturer, or destroyed. Additional responsibilities include: - Documenting daily returns by notating patient accounts and updating appropriate systems. - Monitoring pump inventory for issues and scheduled maintenance. - Receiving manufacturer replacement product and noting patient accounts. - Reviewing received manufacturer recalls and taking appropriate actions. - Supporting the Materials Management team as needed. Required Qualifications • One year experience in a pharmacy environment. • One year computer experience in a Windows based system. • Valid state pharmacy technician or technician trainee license. Preferred Qualifications • Excellent organizational skills. • Attention to detail. • Excellent communication and interpersonal skills. • Ability to work in a team environment. • Ability to work independently. • Excellent math aptitude. • Excellent problem solving skills. • Ability to lift

Associate Configuration Management Engineer Company: The Boeing Company The Boeing Global Services (BGS) Government Training Engineering organization is seeking an Associate Configuration Management Engineer for the Product Lifecycle Management (PLM) team in Hazelwood, MO . As part of our team, you will be focused on configuration management ensuring engineering changes are documented and managed throughout the development lifecycle. You will be a part of an organization that provides industry leadership in commercial and defense aviation training and capabilities, including custom software development, engineering and technical services, and a range of services to support training centers and pilot provisioning worldwide. Position Responsibilities: Participates in the development and management, and performs limited analysis of process and product baselines Works under general direction to coordinate and conduct product and subsystem level technical design reviews and audits for new and derivative products Performs routine analysis of product trades and/or changes and assists in the development of change proposals Participates in the development and implementation of Configuration and Data Management standards, processes, systems and tools Utilizes data gathered from customers to assist in the definition of Configuration and Data Management requirements for product hardware, software and engineering design data systems Assists in the integration, routine analysis and resolution of issues with engineering product structure Assists with the development and implementation of engineering technical program plans of limited scope including impacts, risks and incorporation of lesso

At Speechmatics, we’re expanding our user platform offering. We're looking for a Senior Front-End Software Engineer with a strong product mindset to help drive that growth. This is an opportunity to own end-to-end feature development at a leading-edge AI company, from shaping the user experience through to shipping and iterating based on real user feedback and analytics data. What you'll do Own product features from ideation through to delivery, contributing to UX thinking, frontend execution, and post-launch iteration Build polished, accessible user interfaces using React, JavaScript, HTML, and CSS Make UX and UI decisions independently, collaborating closely with designers and PMs rather than waiting on detailed handoffs Design and run A/B tests to validate product decisions and surface insights that improve the user experience Use analytics tooling such as Mixpanel to understand how people interact with the product and feed that learning back into what gets built Partner with backend engineers, product managers, and designers to ship features that genuinely move the needle for users and the business Write and maintain robust UI tests, taking ownership of quality in production and at scale Run user interviews and meet customers to understand how people use the product and what drives adoption What you'll need Proficiency in React, JavaScript, HTML, and CSS with a track record of shipping production-quality frontend code A product-minded engineering approach Comfort owning UX and UI decisions independently Hands-on experience with iterative development practices, including A/B testing and feature experimentation Familiarity with user analytics tools such as Mixpanel or a comparable platform Experience with UI testing frameworks and a solid grounding in frontend engineering best practices Confidence collaborating cross-functionally with designers, PMs, and backend engineers A track record of using user feedback and data to improve features Nice to have Experience us

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Deal Pricing is a dedicated global function that provides deal pricing expertise, financial insights and deal support for negotiated users to Stripe’s global Go-to-Market teams. We work to ensure deals create economic value for Stripe by establishing the deal commercial framework for a scaling sales organization, actively supporting large and or complex deals and providing pricing insights and feedback to sales, finance and product leaders. Deal Pricing frequently works with cross-functional business partners across Operations, Finance & Strategy and Product and there is constant collaboration with Deal Pricing colleagues across all regions. What you’ll do You will be instrumental in providing thought leadership to regional sales teams and senior executives and continuing to develop our framework, approach and associated processes in order to achieve mutually beneficial deals with our sold users while mitigating risk to Stripe. In addition to providing key financial insights and recommendations to business partners and Stripe leadership, you will have a chance to stretch beyond the boundaries of finance through business case development and commercial negotiations with all types of customers across the full suite of Stripe’s financial and payment products. Responsibilities Serve as a key financial and strategic thought partner to specific APAC Go-to-Market sales teams and their leadership in both pricing deals at scale and pricing

Work Flexibility: Onsite As the Manager, Quality Assurance , you will lead quality assurance activities that support product quality, process performance, audit readiness, and continuous improvement across site operations. Working closely with Operations, Global Quality, Regulatory Affairs, and supplier partners, you will help ensure quality systems remain effective, compliant, and aligned with business objectives. This role is Onsite in Mahwah, New Jersey . What You Will Do Lead the Quality Assurance team, providing technical guidance and quality oversight across manufacturing and operations, supports functions to drive continuous improvement and compliance. Partner with site leadership to ensure products consistently meet customer expectations, regulatory requirements, and applicable quality standards. Develop, coach, and retain a high-performing team while fostering a culture of inclusion, accountability, collaboration, and employee engagement. Drive quality system compliance by partnering with functional leaders to establish, communicate, and maintain quality standards, requirements, and responsibilities. Lead site readiness activities and support internal, corporate, notified body, FDA, and other regulatory audits and inspections. Oversee the management of nonconforming products, product and process deviations, risk assessments, corrective actions, and preventive actions to ensure effective resolution and compliance. Monitor and improve Quality performance indicators, including NCR, CAPA, compliance, and operational quality metrics, and implement corrective actions for adverse trends. Support the development and execution of local and global Quality Operations strategies that improve product quality, operational efficiency, risk management, and regulatory compliance. <