Solver Product Consultant in United States

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role At WRITER, our enterprise customers are building mission-critical AI applications that transform how their businesses operate. As a senior support engineer, your top priority is helping our developer personas and technical users succeed with our platform. You'll act as a leading voice for our enterprise support function, handling intricate customer issues directly while working in a complex and ambiguous environment to drive impactful value across our customers' businesses. You'll collaborate closely with Customer Success, Education, Product, Engineering, and Sales to create great experiences and help customers get the most out of the platform. By leveraging an automation-first mindset, you'll scale our support operations and use our own AI tools to solve problems faster and more efficiently. This role is available for hybrid work in our New York City and London hubs. and you will report directly to the manager of support engineering. We are open to hiring for

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. We are transforming how the world uses information to enrich life for all. Within our DRAM organization, we develop next-generation memory technologies in an industry-leading 300mm R&D environment, bringing together expertise across process development, design, modeling, characterization, reliability, and manufacturing. Our team works collaboratively to advance memory scaling while improving performance and manufacturability. As a Process Integration Engineer, you will help enable state-of-the-art DRAM technologies and solve complex integration, device, yield, and circuit challenges. You will work closely with cross-functional engineering teams to optimize process flows, improve yield and margin, and translate technical data into solutions that enable future generations of memory technology. Responsibilities: Lead technology integration activities to enable manufacturability of advanced DRAM technologies Partner with process development, product engineering, design, yield, mask, and probe teams to resolve yield, performance, reliability, and margin challenges Design and implement R&D fab experiments and optimize process flows to meet product and technology requirements Analyze inline, defect, parametric

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 Vice President, Software Engineering Overview Decision Stream is Mastercard's next-generation AI-native decisioning platform, designed to power intelligent, real-time decisions across fraud, authentication, payments, and risk. Built with a startup mindset and enterprise-scale ambition, the platform combines innovation, speed, and engineering excellence to redefine decisioning across Mastercard's global ecosystem. We are seeking a visionary and hands-on VP of Software Engineering to help build and scale the platform. This leader will partner closely with Product, Architecture, AI, and Platform Engineering teams to drive technology strategy, architecture, engineering execution, and organizational growth. What You'll Do Lead Through Technical Excellence • Serve as a senior technology leader and role model for engineering teams. • Drive architecture, design, and technology decisions across distributed systems, streaming, AI, and cloud-native platforms. • Engage deeply with engineers, architects, and product leaders to solve complex technical challenges. • Influence engineering standards, software quality, and operational excellence. Build and Scale the Platform • Help shape and deliver a highly scalable, resilient, and secure decisioning platform operating at Mastercard scale. • Balan

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, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Qualifications 4-8 years of account management and sales experience. Customer empathy and deep desire to see customers succeed. Desire to get technical and the ability to learn the ins and outs of Plaid's APIs. Some familiarity in financial services and technical products; a high degree of intellectual curiosity. Excitement to work in a high-growth, ever-changing environment and to help build processes and tools as needed. Ability to work with all types of people and build long-lasting relationships. Strong Sales experience (negotiation/value-selling). Executive level communication skills - written and verbal. Relationship building (understand how to leverage internal/external executives, product, etc). Retention and Termination-save tactics. Responsibilities Own and manage the overall relationship with your portfolio of customers in our fastest growing customer segment. Build strong relationships with the C-Suite and Product teams to retain and grow revenue. Own and exceed revenue targets, which includes identifying and closing new upsell opportunities and leading commercial negotiations for contract renewals Help customers integrate and launch on Plaid. Solve complex customer ch

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Metrology Engineer is Hyliion's technical authority on dimensional measurement across internal operations and the supply base. KARNO functionality depends on precision machined components and sub-assemblies held to micron-level form and finish, and this position sits within the Quality function as the interface between Design Engineering, the supply base, Manufacturing, and Quality. The role owns the measurement system end to end: the metrology lab and equipment roadmap, inspection programs and fixtures, the calibration and gage control system, and the measurement standards to which both supplier and internal inspection are held. The position is accountable for the integrity of dimensional data wherever it is generated — at a supplier's machine, at receiving inspection, or in process on Hyliion's floor — and for ensuring that results from those sources agree within defined, documented tolerances. The balance between supplier-facing and internal work shifts with the maturity of the supply base and the product portfolio; both are permanent responsibilities of the role. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Supplier Metrology and Source Inspection Serve as Hyliion's technical lead for dimensional verification at key suppliers, including additive manufacturing partners, precision machining sources, and the magnetic assembly supply chain. Assess supplier measurement capability: equipment, environment,

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Customer Experience at Brex Customer Experience is where the Brex brand meets the real world. Our team directly impacts customer growth and retention, delivering fast, personal support while surfacing insights that shape product and policy. We operate with urgency, empathy, and precision — helping customers succeed while influencing how Brex evolves. If you love solving meaningful problems for ambitious customers, CX is where you’ll thrive. What you’ll do As Brex Support, we aim to provide the best support on the planet by being passionate advocates for our customers. As a Support Specialist I your goal is ultimately to help customers use, trust and love Brex, treating every customer like a VIP. As you solve problems for our customers, you'll work collaboratively with sales, engineering, and operations teams to find solutions and use customer feedback to improve our product along the way. Where you’ll work This role will be fully remo

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: WPP’s Data & Technology Solutions is the WPP’s unified global data products and technology team. We work with our agencies and clients to build data-driven solutions and technology product to power marketing transformation. WPP Open is our AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. WPP Open is the simplest, safest and fastest way to realize the benefits of scaled AI – delivering better-informed creative ideas faster, at scale and at lower cost. We’re endlessly curious and our team of thinkers, builders, creators and problem solvers are over 2,000 strong, across 20 markets around the world. We are seeking a strategic and commercially driven leader to represent and execute WPP’s data partnership strategy with Media Owners and Platforms. This role will be critical in scaling local markets Data Strategies Globally You are: A data leader with strong experience in partnerships and platform ecosystems with a robust knowledge of the AdTech industry Commercially minded, with experience negotiating and managing strategic par

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: WPP’s Data & Technology Solutions is the WPP’s unified global data products and technology team. We work with our agencies and clients to build data-driven solutions and technology product to power marketing transformation. WPP Open is our AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. WPP Open is the simplest, safest and fastest way to realize the benefits of scaled AI – delivering better-informed creative ideas faster, at scale and at lower cost. We’re endlessly curious and our team of thinkers, builders, creators and problem solvers are over 2,000 strong, across 20 markets around the world. The Senior Manager, Data Enablement Operations will support the operational effectiveness of the Data & Technology Solutions Partnerships organization. This role will help drive scalable operational processes, support partnership management workflows, and improve coordination across Commercial, Enablement, GTM, Product and regional teams. This individual will play a key role in helping standardize processes, improve operational visi

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge OneTrust is building the AI-Ready Governance Platform™ to help organizations build trust, manage risk, and use data and AI responsibly. Our platform brings together privacy automation, consent and preferences, data use governance, AI governance, tech risk and compliance, and third-party management across connected, cloud-based workflows. As a Senior Staff Quality Engineer, SDET, you will define the quality engineering strategy that enables OneTrust to scale this platform with confidence. You will shape how we validate integrated customer journeys, protect trust-critical data and workflows, and release reliable capabilities across a broad product portfolio. This role is for an experienced technical leaderwho can solve significant, unique problems requiring independent judgment, evaluation of intangible factors, and the creation of methods and procedures for specialized, high-stakes initiatives. Your Mission Quality Strategy for Trust-Critical Products Define automation architecture, quality strategy, and release-validation practices acro

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for an experienced Software Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Software Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. A brief highlight of our tech stack: Java / Kafka / Postgres AWS cloud What you'll do: Advance our capabilities across a wide array of industries and domains and gain hands-on experience with privacy, security, data modeling and architecture Develop and deliver code across the full stack, driving engineering excellence by defining to best practices in testing, documentation and observability Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR What you’re great at: 3+ years of backend software development experience in Java Working with cloud-based application development, and being fluent in at least a few of: Cloud service providers like AWS Containerization technologies like Docker and Kubernetes Collaboration, integration, and deployment tools like Github, Argo, and Jenkins Arti

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for an experienced Machine Learning Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Machine Learning Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform - one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. A brief highlight of our tech stack: Python / Postgres / Snowflake / dbt AWS SageMaker and MLflow What you'll do: Own and drive the foundational work of a ML system at CLEAR Design, build and deploy ML models for various applications, such as document and image processing, fraud detection. Develop and implement robust data pipelines at a variety of scales, including collection, pre-processing, transformation, and feature engineering Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR What you're great at: 3+ years of experience building, operating and scaling ML models for consumer applications, particularly those with experience building end-to-end systems Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Expertise in best practices for feature enginee

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for a Data Engineer II to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Data Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. A brief highlight of our tech stack: SQL / Python / Looker / Snowflake / dbt What you'll do: Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner Build processes supporting data transformation, data structures, metadata, dependency and workload management Develop and maintain data pipelines to collect, clean, and transform data (owning end to end data product from ingestion to visualization) Develop and implement data analytics models Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR What you're great at: 4+ years of data engineering experience Working with cloud-based application development, and be fluent in at least a few of: Cloud services providers like AWS Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc Big data tools like Spark, Ka

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, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Data team within Plaid’s Fraud organization builds the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s unique network data to identify and stop fraud before it happens. The team owns the full ML lifecycle—from feature pipelines and model training to production serving and monitoring—building reliable, scalable systems that deliver high-quality fraud detection as we grow to support hundreds of customers. As a Senior Machine Learning Engineer, you will own the development of high-performance feature computation and online inference pipelines that power production machine learning systems at scale. You’ll build robust observability, monitoring, and automated debugging capabilities, while leveraging AI-assisted tools to investigate complex system behavior and maintain high reliability. You’ll partner closely with ML Infrastructure, Data Science, and Product teams to execute critical technical initiatives and deliver scalable, high-impact ML solutions. Responsibilities: Build and scale machine learning systems that power a rapidly growing fraud detection product in a fast-paced environment. Solve complex technical challenges at the intersect

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 As a Software Engineer, Forward Deployed, you’ll solve the hardest problems standing between Ramp and the world’s largest and most complex companies — shaping and shipping the product capabilities that unlock our growth upmarket. You'll be part of our Core FDE org, which is an agent-first, high-pace, customer-facing engineering team. On FDE, you will interact directly with customers and deliver solutions end to end — understanding pain points, shaping product decisions, and building agents that autonomously expand Ramp's capabilities. Check out our Engineering Blog and FDE post for more context on our work! What You’ll Do Deliver software end to end that meet the needs of our largest customers — understanding user pain points, scoping product specs, and building agents that autonomously implement solutions. Collaborate closely with Sales, Solutions, Customer Success, and Account Management to close deals, activate customers, and expand the value Ramp provides over time. Drive the core product engineering roadmap through our embedding

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, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Plaid’s mission is to unlock financial freedom for everyone by making money movement and access to financial data simple and secure. As a Software Engineer, you will design and build the systems that power how millions of people connect to their finances. You will work across the stack, from reliable backend services and APIs to intuitive applications that bring those systems to life. You will collaborate with engineers, product managers, and designers to ship products that make financial services more accessible and transparent. At Plaid, engineers take ownership early, grow quickly, and see their work reach millions of users. Responsibilities: System Design & Development: Build and maintain scalable, reliable backend or fullstack systems and APIs that power Plaid’s products. Collaboration: Work closely with product managers, designers, and other engineers to define and deliver features that solve real customer problems. Code Quality: Write clean, efficient, and well-tested code. Participate in reviews to maintain high engineering standards. Testing & Debugging: Build automated tests, monitor system performance, and troubleshoot issues in production environments. Continuo