Technical Partner Solutions Intern Jobs

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with research, software, and external hardware partners to shape the next generation of AI systems, from silicon through full-scale deployments. Our team focuses on understanding and optimizing performance across the full system stack—ensuring that architectural decisions are grounded in rigorous, quantitative analysis of real-world workloads. About the Role We are seeking a Performance Modeling Lead to build and lead a small, high-impact team responsible for answering forward-looking architectural questions across AI infrastructure systems. You will develop modeling frameworks and methodologies to evaluate system-level tradeoffs and guide key design decisions. Your work will directly influence reference architectures, vendor designs, and long-term infrastructure strategy. This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance. 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. Key Responsibilities Build and own a performance modeling framework/toolchain to evaluate AI systems across multiple levels of abstraction. Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology. Develop performance models to guide decisions on: scale-up vs. scale-out architectures interconnect and network design memory hierarchy and system balance. Translate modeling outputs into clear recommendations for internal teams and external hardware vendors. Influence reference designs and vendor roadmaps through data-driven insights. Partner closely with machine learning, systems, and hardware teams to understand workload characte

FEQ427R257 As a Sr. Manager, Field Engineering, you will lead a diverse team of technical pre-sales Solutions Architects covering the Asean region. You’ll play a key leadership role at the intersection of technology and business—guiding your team to design impactful solutions and drive growth through collaboration and innovation. You’ll empower your team to communicate complex ideas with clarity, support strategic enterprise customer engagements, and build lasting partnerships with clients and internal stakeholders. The impact you will have: Lead, mentor, and support a high-performing, inclusive pre-sales team Foster an environment of belonging, continuous learning, and psychological safety that reflects Databricks’ values of customer focus, teamwork, and diversity. Work closely with Sales and other teams to identify opportunities and deliver data-driven, value-focused solutions. Establish best practices that improve team efficiency, collaboration, and business impact. Build trusted relationships with customers and partners, acting as a strategic advisor in their digital transformation journey. Partner with Marketing, Sales, Services, and other cross-functional teams to ensure a seamless customer experience. Represent Databricks as part of the regional leadership team, contributing to our local presence and inclusive culture. What we’re looking for: You do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply. Proven experience leading or managing technical teams in Big Data, Cloud, or SaaS environments—or equivalent experience gained through hands-on engineering or consulting work. A track record of coaching and developing diverse, high-performing teams. Strong collaboration skills and the ability to partner effectively with Sales, Marketing, and other cross-functional leaders. Excellent communication and interpersonal skills Technical background in Data Engine

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineeri

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Product Support Specialists at Affirm provide fast and reliable service to our merchant business partners. This role is at the front line of our merchant support experience, and you will be responsible for ensuring that any technical or operational issues our merchants have are quickly resolved. You will become a product and payments expert, viewed by our clients as a trusted partner from whom they can reliably get quick and correct information. You will work cross-functionally with Affirm’s Sales, Client Success, Operations, and Engineering teams to provide clients with quick solutions, troubleshoot account issues, and build internal processes that scale. What You'll Do: Support Affirm’s merchant partners: E-Commerce retailers which utilize various platforms Utilize various troubleshooting techniques to resolve complicated technical or configuration issues Work closely with engineers to resolve technical and operational issues, and provide high-touch support to merchant partners Effectively manage multiple customer inquiries simultaneously, with appropriate prioritization Build scalable support processes and engage with feedback to streamline workflows Drive merchant partner communication and outreach about new features and enhancements Aggregate feature requests based on merchant partner feedback to guide future product planning What We Look For: Fluent in French as well as English Bachelor’s degree or equivalent experience 2+ years of experience in relevant industry (Tech, eCommerce, SaaS) and/or similar role(s) Ability to handle a high volume of requests with efficiency and empathy Passion and drive to change consumer banking for the better Great writing. You need to be able to clearly describe technical concepts and instructions in emails, but let your personality show an

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Competitor Analyst & Procurement Specialist at Micron Technology, Inc. you provide critical data and services to Micron’s competitive benchmarking teams! In this role, you provide valuable technical insight through research of competitor technology releases, monitoring of competitor product offerings, and collection of industry intelligence data. You actively collaborate with internal and external partners to share and learn new industry intelligence. You also provide buyer-role support of the product procurement efforts of Micron’s Competitor Analysis team. You use market knowledge and industry intelligence to make procurement decisions that give timely access to ground breaking competitive memory technologies. You are responsible for crafting and maintaining the investigative process related to the tracking of competitor products and technologies. You are also empowered to leverage Artificial Intelligence to improve the efficiency and effectiveness of intelligence gathering, analysis and procurement! Responsibilities include: Memory Market Research and Competitive Intelligence Data Collection: Identify and use appropriate data sources and systems Develop strategic research solutions through collaboration with internal and external partners Analyze data and intelligence for competitive benchmarking purposes Document, share findings with internal partner groups and participating actively in benchmarking working groups Competitor Memory Product Procureme

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Key Responsibilities 1. Solution architecture and design governance Own end-to-end architecture for assigned ServiceNow products — from discovery and design through release, adoption, and lifecycle improvement — producing artifacts such as blueprints, integration patterns, and decision records. Lead architecture reviews and design-authority forums for assigned products; approve designs within delegated authority and escalate enterprise-wide or exception decisions to the Platform Architect. Establish platform guardrails, reusable patterns, and coding/integration standards, and review internal and vendor designs for alignment, security, and technical-debt impact. 2. Demand intake, product ownership, and prioritization Serve as the functional/technical owner for assigned application areas and primary platform-facing partner to business Product Owners. Qualify and shape new ideas, enhancements, and technical debt into ready features, epics, and stories, using a transparent value-based prioritization method (e.g., WSJF). Represent assigned products in Demand Board, roadmap, and release/funding discussions. 3. Integration, data, CMDB/CSDM, and AI architecture Design integration approaches (IntegrationHub, APIs, events, MID Server) and define data ownership, quality, and lifecycle expectations for assigned products. Apply CMDB/CSDM, Service Graph, and service-modeling principles where relevant, and guide adop

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The US Expansion Construction team is leading the design and construction of next-generation semiconductor manufacturing facilities across the United States. We partner with engineering, construction, and operations teams to deliver complex infrastructure that enables innovation at scale. Join a collaborative team where learning, technical growth, and operational excellence are highly valued. As a Wet Mechanical Systems Operations Engineer, you will play a key role in the delivery and long-term success of wet mechanical systems supporting Micron’s New York expansion. You will provide technical oversight throughout design, construction, commissioning, and transition to operations, helping ensure systems are safe, reliable, and ready to support manufacturing from day one. Responsibilities: Oversee the design, construction, and commissioning of wet mechanical systems, including plumbing, HVAC hydronic systems, and process piping Review engineering deliverables such as P&IDs, equipment specifications, and system layouts for compliance with project requirements and industry standards Coordinate with design partners, contractors, vendors, and internal stakeholders to support system integration and project execution Lead quality assurance, risk assessment, and commissioning activities to ensure safety, reliability, and operational readiness Support the transition from project execution into sustaining engineering and ongoing operations Minimum Qualifications: <ul

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Idaho Semiconductor Manufacturing (Triton) LLC Enables the development of best-in-class memory technology. Utilize fundamental equipment knowledge to characterize and drive continuous improvement projects on existing wet process tools and next generation equipment. Success is derived through partnership with the process development team and effective project management of vendor resources to achieve process technology and efficiency benchmarks. Utilize creative experimental techniques to tackle unique technical challenges associated with Process and Hardware issues. Drive and manage vendor execution to meet goals. Provide hardware technical support to the Wet Process area. Complete project milestones - close hardware gaps before transferring to manufacturing. Partner with process engineering to define hardware roadmaps. This includes wafer processing hardware, diagnostics, data collection requirements, and hardware quality control/variation reduction. Establish productive Vendor relations to maintain Supplier engagement to achieve Best in Class Equipment Metrics. Domestic and international travel required. Employer will accept a Bachelor’s degree in Mechanical Engineering, Materials Engineering, Engineering or a related field and 2 years of experience in the job offered or in a related occupation. Position requires: 1. Semi-conductor equipment troubleshooting and managing a set of tools 2. Model-based problem-solving including G8D methodology 3. Supplier management & maintaining key performing I

Our Purpose Mastercard powers economies and empowers people in 200&#43; 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 Analyst, Analytics & Metrics - Open Finance Overview The Strategic Customer Analytics - Open Finance team serves as a trusted analytics partner to Mastercard's Open Finance clients, helping customers understand performance, identify growth opportunities, and maximize value from Mastercard's data and connectivity solutions. The Senior Analyst, Analytics & Metrics will play a critical role in transforming complex datasets into actionable insights that drive business decisions for both internal and external stakeholders. This role combines advanced analytics, data storytelling, client consulting, and cross-functional collaboration. The successful candidate will partner closely with Customer Success, Product, Engineering, Business Intelligence, and executive leadership teams to develop performance reporting, investigate trends, uncover opportunities, and communicate findings through compelling analyses and presentations. The ideal candidate is highly comfortable working with large datasets, and capable of translating technical concepts into clear business recommendations. They will have opportunities to influence strategic initiatives, support key client relationships, and help shape the future of analytics within Mastercard's Open Finance organization. You will also collaborate closely with

R&D Manager, Hardware and System Validation Description - HP creates technology that makes life better for everyone, everywhere. Within the Advanced Compute & Solutions BU, Workstations R&D develops high-performance computing platforms for professional, technical, and enterprise customers. The Hardware and System Validation team is central to delivering reliable, high-performance HP Z Workstation platforms at scale and maintaining strong customer and partner confidence. Join the business bringing the future of advanced computing to professionals worldwide. The R&D Manager for Hardware and System Validation leads a team of individual contributors responsible for a variety of lab test functions, system integration testing and platform validation for HP Z Workstations. The role manages multiple ongoing validation efforts through the labs to align resources, ensure suitable test plans and strategies, and drive deliverable achievement inclusive of quality, schedule, and cost. The manager will drive execution from early component-level and platform & system bring-up through initial product launch, sustaining updates, and lifecycle refreshes, ensuring platform quality, customer readiness, and on-time delivery across internal teams, global original design manufacturers, silicon partners, and specialized test suppliers. This role combines direct leadership, application of technical breadth, program execution, supplier management, and continuous improvement. It partners closely with Architecture, Electrical Engineering, Software, Quality, Program Management, Manufacturing, Regulatory, Field Engineering, and external development partners to assess risk, resolve cross-functional issues, and support shipment readiness and customer commitments. The fundamental outcome is outstanding products meeting customer needs and expectations under a variety of professional worldwid

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 Provider Digital Analytics and Intake Team is hiring a Business Analytics Specialist to support the reporting and data analytic needs for value capture and metric driven management of Aetna’s provider digital tools. This successful candidate will partner and support activities of the Provider Digital business team and advise on insights to drive value in digital tool offerings. Performs data analysis and issue research as well as participates in business and technical projects to assess the impact of that work on the reporting and data. Consults with internal clients to identify opportunities to implement data solutions to business problems at an intermediate level. Collaborates with business partners to understand their problems and goals to help solve by developing predictive modeling, statistical analysis, data rereports, and performance metrics. Participates in the implementation of information strategy and development of information products to ensure operational objectives and other strategic business initiatives are met. Ability to structure data analysis, driving analytics insights and analytical solutions to help determine the best analytical solution. Consults on the creation of analytics solutions that effectively weigh business and technical tradeoffs using an intermediate understanding of business strategy as well as relevant

Datadog Sales Engineers help qualify and close opportunities with customers and partners. You will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POCs). Sales Engineers have a voice with the product team to help prioritize features based on input from customers, competitors, and partners. Additionally, you will work with various teams to resolve customer concerns, escalate bug issues, and serve as an ambassador for our brand. If you want to join a friendly, passionate team with limitless potential, we’d love to meet you! At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Partner with the sales team to articulate the overall Datadog value proposition, vision and strategy to customers Continually learn new technology to build competitive knowledge, technical skill, and credibility Deliver product and technical presentations with potential clients Have a direct line of communication with the product team to collaborate on feature requests Help clients onboard the product and assist when they run into roadblocks. Think creatively about a wide variety of technical challenges during the pre-sales life cycle Who You Are: Minimum 4+ years in Sales Engineering, Solutions Engineering along with either DevOps/SRE, or Platform Engineering Knowledgeable and experienced with DevOps monitoring or architecture tools. Comfortable and confident in delivering technical presentations/demos to either external customers or internal teams Able to think creatively about a wide variety of challenges. You're going to find new things every day Previously experienced in systems administrations: Windows or Linux Able to travel up to 25% of the time Datadog values people from all walks of lif

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We're looking for an experienced technical operator to lead live testing, deployment, and operational validation of cutting-edge autonomous technologies. This role sits at the intersection of engineering and operations, helping ensure new capabilities are safely deployed, thoroughly evaluated, and translated into actionable engineering feedback. You’re excited about this opportunity because you will… Lead and oversee live testing across transport, deployment, and safety validation. Partner closely with hardware, software, and business operations teams to validate new product capabilities while providing guidance and mentorship to junior team members. Conduct and document complex tests for autonomous technologies, evaluating robot behavior, identifying issues, and validating new features and requirements. Provide actionable technical feedback to engineering teams based on test outcomes. Exercise technical judgment during live testing by evaluating robot behavior, assessing operational risk, distinguishing expected behavior from product defects, and determining when engineering escalation or additional validation is required. Develop and implement testing processes, protocols, and checklists that improve the safety, efficiency, and reliability of new products. Utilize internal tools to analyze logs, investigate issues, document findings, and track issues through resolution. Mentor junior team members in structured debugging and documentation practices. Conduct detailed analyses and generate comprehensive reports that identify trends, summarize findings, and provide strategic recommendations to engineering and operations partners. We’re excited about you because… 2+ years of exper

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Join our FDE team and work directly with some of the world's largest organizations to turn their most ambitious ideas into production applications on Replit. As a Forward Deployed Engineer, you'll partner closely with customers to understand their technical and business needs, architect solutions, and build the integrations and applications required to deploy Replit successfully within complex enterprise environments. This is a deeply technical and hands-on role. You won’t just advise customers on what to build—you’ll build alongside them. You’ll take applications from initial idea and prototype through deployment and production, navigate complex enterprise environments, and solve the technical challenges that emerge when AI-powered software development meets real-world infrastructure, data, security, and organizational constraints. You will: Build with Customers: Embed with strategic enterprise customers to design and build high-impact applications and AI-powered workflows on Replit, taking projects from initial concept through production deployment. Architect Enterprise Solutions: Design secure, scalable architectures that connect Replit with customers’ existing systems, data, APIs, identity providers, and infrastructure. Integrate with the customer's stack: SSO, data warehouses, internal APIs, and SaaS systems. Own Technical Deployments: Serve as the technical owner for complex enterprise implementations, identifying blockers, debugging issues, and driving projects through to successful production adoption. Bridge Customers and Product: Develop a deep understanding of how enterprises use Replit and translate field insights, technical constraints, and recurring customer needs into actionable feedback

Datadog is seeking a Director of Product Management for Platforms to lead the internal platforms that power our global engineering organization. This is both a customer and internal platform leadership role, focused on enabling Datadog customers to maximize value with Datadog but also to enable other Datadog products to build, scale, and operate products efficiently and reliably. In this role, you will bring a combination of technical expertise, product management experience, and a deep understanding of platform and shared capabilities to help Datadog grow its leadership position. You will lead a team of product managers and collaborate with senior leadership in product, engineering and design. Your scope includes driving product features shared across all Datadog but also large-scale Datadog’s platform solutions. What You’ll Do Own the vision and strategy for platform products, ensuring alignment with overall company goals and customer needs. Identify new opportunities for innovation and drive them from concept to execution, ensuring they have a measurable impact on customers and the business. Define product roadmaps and manage the prioritization of features and initiatives to ensure the team's efforts are aligned with business goals. Drive Platform Adoption: Partner with engineering and product teams to ensure widespread adoption of shared platforms and shared features, reducing duplication and accelerating delivery. Improve Operational Efficiency: Improve developer velocity, time-to-production, and operational efficiency across Datadog’s engineering ecosystem. Collaborate with cross-functional teams including engineering, design, data science, marketing, and sales to deliver infrastructure product solutions that meet customer needs and business objectives. Define and Track Success Metrics: Define and track platform success metrics, including adoption of platform capabilities, reduction in internal toil, time-to-production improvements, cost efficienc