Technical Partner Solutions Intern Jobs

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: As an Intern in Technology & Management Consulting you join our Value Engineering team to focus on driving and closing opportunities by identifying and selling the value Celonis can bring to customers. Our Value Engineers (VE) are the trusted advisor for customers and work on the intersection of technology and business. Value Engineers partner with sales and customers to create compelling solutions to critical business problems. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in enterprise technology sales. The Role: Value Engineers are the trusted advisors for our prospects and customers and leverage product expertise and business acumen to solve our prospects’ and customers’ most pressing challenges. You will gain experience in executing proof of value projects and take part in technical discussions with stakeholders. By creating customer-based business cases, you support the strategic business development activities for the UKI market. The work you’ll do: Analyze data from our customers to increase transparency in business processes Understand the pain points of our customers and translate them into actionable use c

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. 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. Global EHS & Sustainability is building a future-ready operating model founded on Trusted Data, AI Enablement, and Decision Intelligence. As the Solutions Engineer, EHSS Solutions , you will design, develop, and validate digital capabilities that improve EHSS operations through analytics, automation, AI-enabled solutions, intelligent workflows, and decision-support tools. You will partner with EHSS SMEs, site teams, PMO, SMAI, IT, and technology partners to transform business needs into scalable and supportable digital solutions. Your initial focus will be AI enablement, workflow automation, analytics, and decision-support capabilities. You will lead technical solution design, prototyping, and pilot activities while partnering with SMAI, IT, and delivery teams to prepare validated solutions for production deployment. Key Responsibilities Design & Deliver Digital Solutions Design, develop, and validate AI-enabled solutions, intelligent workflows, analytics capabilities, automation tools, and internal EHSS a

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Technical Consultants are on the frontlines working to establish partnerships with Ramp customers, and act as a liaison between customers and our internal technical teams. You’ll be partnering with Customer Activation & Account Management teams to identify, prioritize and build financial solutions for new and existing customers so that Ramp continues to scale with their needs. You will act as the technical and financial subject matter expert for our customers, and design solutions that address the customer’s needs through Ramp and partner integrations. You will partner with Post-Sales teams to drive Product, Design and Engineering teams’ roadmaps to evolve Ramp to better serve our customers at scale and offer increasingly higher value to the customers. You will define the customer’s financial & technical success criteria from onboarding through activation and expansion. You will represent Product, Design and Engineering externally and will operate with deep conviction and understanding of Ramp’s technical capabilities. The rol

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. About the Role & Team Everpure acquired Portworx to create the industry's most complete Kubernetes Data Services Platform for cloud-native applications. In this role, you will be supporting multi-cloud data services for Kubernetes and containerized workloads, enabling leading enterprises to run mission-critical data applications smoothly across public and private clouds. WHAT YOU'LL DO Analyze & Support: Troubleshoot and support large-scale customer deployments in public/private clouds across all severity levels. Technical Expertise: Provide hands-on guidance during all deployment phases, POCs, pre-sales calls, and production environments for key accounts. Cross-Functional Collaboration: Partner with engineering teams to analyze logs, reproduce complex customer issues, and develop long-term fixes. End-to-End Ownership: Track customer support cases end-to-end, triage multi-layer software stack issues, and escalate to core engineering when needed. Knowledge Sharing: Author and maintain KB articles, FAQs, and technical documentation for internal teams and customers. WHAT YOU BRING Experience: 2 - 4+ years in customer-facing technical support or Site Reliability Engineering (SRE). Containers & Orchestration: Solid working knowledge of Kubernetes, OpenShift, Tanzu, or VMware container solutions ( CKA certification is a plus ). Cloud Platforms: Hands-on experience with AWS, Azure, GCP, or related cloud technol

Integration meets Innovation At Celigo, we believe integration should empower — not exhaust — innovation. As a modern Integration and Automation Platform (iPaaS), we’re on a mission to simplify how companies integrate, automate, and optimize processes. Powered by game-changing technology like runtime AI and prebuilt, mission-critical integrations, Celigo is redefining how businesses connect their world. The Senior Solution Architect (Sr. SA) is a highly visible, strategic, and tactical role that requires business acumen, technical creativity, and industry experience. This is a technical position where you will assist our sales and project teams in helping them craft innovative cloud-based solutions using integrator.io, Celigo’s iPaaS (Integration Platform as a Service). Secondarily, you will also be working directly with customers to provide strategic integration architectural designs, business process assessments, and roadmaps for their implementations using integrator.io. What would you do if hired? Work independently, or as part of a larger sales team, to utilize your industry experience and creativity in crafting cloud-based solutions around SaaS and legacy application integrations. The solutions that you will craft will include web application integrations, complex business process automation, integration between cloud applications or between cloud and on-premises applications, etc. Conduct customer and partner scoping sessions that probe their business needs and craft a workable, technical solution using Celigo products and services. Write requirements and design documents that define the solution, method of integration, assumptions, customizations, and use cases. Be the voice of the customer internally, helping shape our product design and delivery. Provide design documents, business process assessments, change orders, and other deliverables during customer projects in the Solution Architect role, working with a project team and project man

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you! Responsibilities: Contribute to the design, build, train and test of Machine Learning models Write production-level code to convert ML models into working pipelines Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context Analyze experimental and observational data, communicate findings to support decisions Participate in code and spec reviews to ensure code quality and distribute knowledge Experience: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Toronto Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, et

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you! Responsibilities: Contribute to the design, build, train and test of Machine Learning models Write production-level code to convert ML models into working pipelines Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context Analyze experimental and observational data, communicate findings to support decisions Participate in code and spec reviews to ensure code quality and distribute knowledge Experience: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Toronto Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, et

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 Stripe’s Commercial Solutions Architecture (SA) team works with technical and business leaders (CTO/ CIO/ CEO/ Founders etc.), payments leaders and product engineering teams in the mid-market segment to evangelize Stripe’s solutions in the market. A solutions architect’s role is to build relationships with decision makers and think strategically about the business needs of Stripe’s customers. Solution Architects identify and propose Stripe solutions to solve complex business challenges and drive growth for our customers. Commercial SAs establish and prescribe best practices around a customer’s strategy, provide business and technical thought leadership and are viewed as a trusted advisor. They work on scaling business processes aligned to maximizing account coverage while working closely with customer and partner resources to deliver a solution that can be adopted quickly. What you’ll do As a member of the team, the Solutions Architect will build highly consultative trusted relationships with c-level executives and technical decision makers in the customer’s organization to provide business and technical thought leadership, and become a trusted advisor in solving mission-critical business challenges. She/he will architect business models with them so they can drive new monetization opportunities and growth for both the user and Stripe. Responsibilities Drive thought leadership and build executive relationships with key business a

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: As an Intern in AI & Management Consulting you join our Value Engineering team to focus on driving and closing opportunities by identifying and selling the value Celonis can bring to customers. Our Value Engineers (VE) are the trusted advisor for customers and work on the intersection of technology and business. Value Engineers partner with sales and customers to create compelling solutions to critical business problems. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in enterprise technology sales. The Role: Value Engineers are the trusted advisors for our prospects and customers and leverage product expertise and business acumen to solve our prospects’ and customers’ most pressing challenges. You will gain experience in executing proof of value projects and take part in technical discussions with stakeholders. By creating customer-based business cases, you support the strategic business development activities for the UKI market. The work you’ll do: Analyze data from our customers to increase transparency in business processes Understand the pain points of our customers and translate them into actionable use cases in

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 AI solution development: Build and deploy AI tools and workflows using platforms such as Copilot Studio, UiPath, and other automation frameworks. Integration & enablement : Connect AI agents with enterprise systems (e.g., SharePoint, M365), external APIs, and knowledge bases for seamless interoperability. Process automation : Identify repetitive tasks and design intelligent automation to improve efficiency. Security & identity integration : Secure agent interactions via encryption, authentication, and authorization; integrate with identity platforms (OAuth2, OIDC, SAML, Entra ID, AD FS) for access control. Governance & compliance : Partner with cybersecurity on data protection and threat modeling, ensuring solutions meet security, ethical, and compliance standards. Collaboration & training : Enable AI literacy across teams through best-practice documentation and internal training. Continuous improvement : Collect feedback, iterate, and contribute to a culture of innovation and scale. Required Qualifications Education: Bachelor's or master's in computer science, AI, machine learning, data science, or a related field, or equivalent related experience. Experience: 5+ years in software development, including 2+ years in AI/ML engineering. AI & automation foundations : Strong grasp of AI concepts, ML pipelines, and automation tool

About Pinecone: Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io . About the Role/Team: As a Technical PMM , you will help developers, software engineers, and machine learning scientists understand how Pinecone enables knowledgeable AI applications. You will accomplish this through messaging and positioning, GTM strategy, launch planning, and enablement for key product features. You will work closely with Product, Sales, Developer Relations, and Marketing teams to ensure our customers understand the value of our platform. Responsibilities: Product Launches & GTM Strategy: Develop launch plans for product releases, align with product teams, and manage GTM execution. Lead core launch teams with cross-functional members (documentation , communications, developer relations, product, growth marketing, etc). Measure customer impact and adoption post-launch, iterating on strategies as needed. Positioning & Messaging: Craft compelling, technically accurate messaging for AI-powered search and retrieval solutions. Build product narratives for enterprise and developer audiences that differentiate Pinecone from competitors. Develop and maintain positioning for new product capabilities Customer & Market Insights: Partner with customers to develop case studies, gathering business impact metrics and architectural insights. Engage in customer interviews and research to refine messaging and identify key value drivers. Content Development & Enablement: Develop internal and external enablement materials, including sales training, pitch decks, and GTM enablement sessions. Collaborate with marketing to create social posts, blogs, and technical content. Requirements: 7+ years of experi

About Pinecone: Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone’s mission is to make AI knowledgeable. More than 109,000 customers across various industries have shipped AI applications faster and more confidently with Pinecone’s developer-friendly technology. Pinecone is based in New York and has raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Role/Team: As a Technical PMM , you will help developers, software engineers, and machine learning scientists understand how Pinecone enables knowledgeable AI applications. You will accomplish this through messaging and positioning, GTM strategy, launch planning, and enablement for key product features. You will work closely with Product, Sales, Developer Relations, and Marketing teams to ensure our customers understand the value of our platform. Responsibilities: Product Launches & GTM Strategy: Develop launch plans for product releases, align with product teams, and manage GTM execution. Lead core launch teams with cross-functional members (documentation , communications, developer relations, product, growth marketing, etc). Measure customer impact and adoption post-launch, iterating on strategies as needed. Positioning & Messaging: Craft compelling, technically accurate messaging for AI-powered search and retrieval solutions. Build product narratives for enterprise and developer audiences that differentiate Pinecone from competitors. Develop and maintain positioning for new product capabilities Customer & Market Insights: Partner with customers to develop case studies, gathering business impact metrics and architectural insights. Engage in customer interviews and research to refine messaging and identify key value drivers. Content Development & Enablement: Develop internal and external enablement materials, including sales training, pitch decks, and GTM enablement sessi

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Our Fraud team's mission is to help companies detect and prevent fraud using financial network data. We believe that transaction patterns, device signals, and behavioral data are an underleveraged tool in fraud prevention. The Fraud Consulting Lead is responsible for building and maturing our retro-as-a-service and POC program and driving adoption of our fraud products. The role sits between our data team and the customer (i.e., the role will not build the models, but will need to understand the output well enough to clearly and compellingly present the business case and work with technical stakeholders and customers.) Responsibilities: Own the retro and POC process end-to-end and collaborate with customers and internal stakeholders at Plaid Partner closely with customers to help them understand the ROI of Protect and make recommendations for implementing our fraud products Drive post-retro follow-through to convert retro results into production usage Serve as a feedback loop between customers and product to drive our Protect roadmap Qualifications: 5-10 years of experience in a customer-facing analytical role in fintech, financial services, or a related domain (e.g., software/tech) Experience worki

Print Service Desk Technical Customer Support Engineer Description - Job Summary • This role is responsible for effectively resolving simple to moderate technical problems involving hardware and software and guiding customers proactively to prevent problems. The role represents the organization in various activities, and constructs, presents, and documents technical solutions tailored to client requirements. The role evaluates unique installations or configurations, contributes to the Knowledge Management System (KMS), collaborates with team members to meet SLA demands, and applies professional expertise to independently resolve problems within moderate scope. Responsibilities • Resolves simple to moderate technical problems effectively, encompassing hardware and software encountered through interactions with internal and external businesses, as well as end users, utilizing proactive notification systems. • Guides customers proactively to mitigate the occurrence of problems, while also representing the organization through activities such as customer visits, participation in industry conferences/trade shows, and vendor meetings. • Constructs, presents, and documents comprehensive technical solutions that cater to specific client requirements. • Evaluates complex or unique installations or configurations and provides recommendations for effective resolution. • Validates solutions to ensure they align with and meet customer-specific requirements effectively. • Facilitates partner integration through well-documented processes and technical guidance. • Articulates case summaries, resolutions, and contributes to the Knowledge Management System (KMS) through both written and verbal communication. • Collaborates with team members as needed to meet internal or external business and end user Service Level Agreement (SLA) demands.<br /

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. We’re looking for someone to oversee internal AI use for non-coding. In this role, you’ll partner with our go-to-market, operations, and technical teams to build and deploy AI functionality to increase efficiency and outcomes. Responsibilities Identify and validate high-impact AI opportunities for internal teams, like Sales, GTM, Finance, HR, etc and build solutions to increase efficiency and outcomes. Train teams to use these tools, monitor usage, and improve as opportunities present themselves. This role will work closely with our CEO Qualifications : 5+ years of product management or engineering experience, including >1 year building AI tools Experience working with GTM teams is a plus [nice to have] Founder experience Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring somethin