Routing Coordinator in United States

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. Product at Brex The Product team is at the forefront of Brex's mission to empower employees anywhere to make better financial decisions. With a deep understanding of the business, we identify and scope the most impactful opportunities for Brex to tackle. We align cross-functional teams—including Engineering, Legal, Compliance, and Design—on key decisions, set strategy, and drive products from inception to launch. What you’ll do Processing a single expense is becoming commoditized. Managing expenses across an enterprise is not. Companies must distribute cards broadly while controlling risk, documenting transactions, enforcing policy, routing approvals, preparing for audit, and producing ERP-ready records. As Staff Product Manager for Expenses, you will turn that complexity into one intelligent system for employees, managers, finance teams, and accountants. You will lead the strategy across documentation, policy, compliance, approvals,

1671 About the Role We are seeking a Senior Signal Integrity Engineer to develop, validate, and optimize high-speed signaling solutions across blade- and rack-level architectures for advanced compute platforms. This role sits at the intersection of silicon, package, interconnect, board, and system design , with a strong emphasis on hands-on measurement, simulation correlation, and cross-functional technical communication. Key Responsibilities End-to-end signal integrity analysis for blade- and rack-level system architectures. Analyze and optimize high-speed and low-speed I/O interfaces, including PCIe Gen4/5/6, Ethernet, DDR, SerDes, SPI , I2C, etc . and related interconnects. Perform time-domain and frequency-domain simulations using tools such as Ansys HFSS, Keysight ADS, Cadence Sigrity, CST, SPICE , or similar. Support hands-on lab validation using VNA, TDR, BERT, and high-speed oscilloscopes . Correlate simulation results with lab measurements to identify margin gaps, debug issues, and improve design methodology. Collaborate with silicon, package, board, connector, cable, and system design teams to optimize I/O channel performance. Work with interconnect vendors and ODMs to guide board layout, stack-ups, routing rules, and system design decisions. Review schematics, layouts, simulation results, and validation data for blade, backplane, and rack-level hardware. Prepare and communicate clear validation reports, measurement summaries, debug findings, and technical recommendations to internal teams, vendors, and senior technical stakeholders. Required Qualifications Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field . Strong experience in signal integrity for high-speed digital systems. Hands-on measurement expertise using VNAs, TDRs, BERTs, and high-speed oscilloscopes . Experience measuring and analyzing S-parameters, impedance profiles, eye diagrams, jitter, timing margins, insertion loss, return loss, and cro

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. Senior Software Engineer — Cortex Training The Snowflake ML Platform team's mission is to let customers run their most demanding ML/AI workloads inside Snowflake. Cortex Training is our LLM post-training platform: it turns scarce, expensive GPU capacity into a simple, composable service, so customers can adapt open-weight foundation models to their own business problems while we handle the hard distributed-systems parts, including scheduling, orchestration, multi-node training and inference, fault tolerance, and throughput. The platform already runs post-training at scale. Under the hood, it decouples GPU computation from the training loop and exposes it as primitive APIs that compose into everything from SFT to full RL workflows. You'll work alongside a team that ships fast & sweats reliability and the researchers behind DeepSpeed. We're looking for an engineer who thrives in the ML infrastructure layer and brings a solid understanding of LLMs and post-training to help us scale and grow it. YOU WILL: Design and build across the full stack — from the public training APIs and SDK through the control plane to the GPU data plane. Scale the distributed systems that make GPU compute serverless — multi-tenant scheduling, placement, and capacity-aware routing across regional G

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The Revenue Marketing team at Mixpanel is responsible for pipeline generation across paid, website, and product-led channels. This role sits within that team as its dedicated engineering owner — accountable for the technical systems that power how people discover, evaluate, and request Mixpanel. You are the only engineer dedicated to this surface, which means you set its technical direction rather than execute against someone else's. You work directly with our marketing teams and partner with Growth Engineering on shared systems. Website design and content are handled by our web design team; your focus is the technical infrastructure, integrations, and systems that sit underneath. About the Role As our Marketing Systems Engineer, you own the technical layer of our marketing engine: the integrations and infrastructure that power our marketing website. The website is our primary lead capture system that turns traffic into pipeline. You own the systems that connect our marketing surface to Salesforce, Customer.io/Hubspot, and our broader GTM stack. You set the technical roadmap for this surface, move fast, measure impact, and treat reliability as a first-class concern rather than a cleanup task.You will also collaborate with Growth Engineering on shared infrastructure including handraiser routing and tracking. Responsibilities Own the technical health of the Mixpanel marketing website: page speed, WCAG compliance, Google Tag Manager, technical SEO, and third-party integrations including Qualified, Optimizely, and TrustArc. Own the integrations between the marketing website and our GTM stack t

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The Revenue Marketing team at Mixpanel is responsible for pipeline generation across paid, website, and product-led channels. This role sits within that team as its dedicated engineering owner — accountable for the technical systems that power how people discover, evaluate, and request Mixpanel. You are the only engineer dedicated to this surface, which means you set its technical direction rather than execute against someone else's. You work directly with our marketing teams and partner with Growth Engineering on shared systems. Website design and content are handled by our web design team; your focus is the technical infrastructure, integrations, and systems that sit underneath. About the Role As our Marketing Systems Engineer, you own the technical layer of our marketing engine: the integrations and infrastructure that power our marketing website. The website is our primary lead capture system that turns traffic into pipeline. You own the systems that connect our marketing surface to Salesforce, Customer.io/Hubspot, and our broader GTM stack. You set the technical roadmap for this surface, move fast, measure impact, and treat reliability as a first-class concern rather than a cleanup task.You will also collaborate with Growth Engineering on shared infrastructure including handraiser routing and tracking. Responsibilities Own the technical health of the Mixpanel marketing website: page speed, WCAG compliance, Google Tag Manager, technical SEO, and third-party integrations including Qualified, Optimizely, and TrustArc. Own the integrations between the marketing website and our GTM stack t

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team builds next-generation AI-native silicon and systems while working closely with software, research, and manufacturing partners to co-design hardware tightly integrated with AI models. In addition to delivering systems for OpenAI’s supercomputing infrastructure, the team develops the tools, methodologies, and strategic partnerships needed to accelerate hardware innovation. About the Role We’re seeking an experienced Hardware Strategic Sourcing Manager to own sourcing strategy and supplier partnerships for fiber and optical interconnect components across OpenAI’s next-generation AI infrastructure. Reporting to the Head of Partnerships & Strategic Sourcing, you will lead sourcing across fiber cable assemblies, internal optical harnesses, fiber shuffles, optical backplane assemblies, connectorized and standalone passive optical assemblies, fiber-array units (FAUs), fiber-to-chip and coupling interfaces, detachable connectors, optical routing, and assigned optical packaging, assembly, and test services. You will work closely with electrical engineering, optical engineering, systems engineering, mechanical and packaging engineering, quality, rack integration, data-center deployment,manufacturing, supply chain, finance, legal, and program management teams to translate demanding bandwidth, signal integrity, reliability, and scale requirements into resilient supplier partnerships and scalable commercial strategies. Your work will directly support the performance, reliability, manufacturability, and scale of the high-speed optical connectivity required for OpenAI’s next-generation AI systems. In this role, you will: Develop and execute a comprehensive sourcing strategy for fiber and optical interconnect components supporting high-bandwidth AI systems and infrastructure. Own sourcing across optical fiber cable assembli

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Mechanical Engineer to design, build, and own the mechanical side of our robotic actuator dynamometer and test infrastructure. You will create the test stands, couplings, fixtures, load paths, guarding, and serviceable lab hardware that enable rigorous characterization of robotic actuators. This role combines precision mechanical design with hands-on lab work. You will take robotic actuator test infrastructure from requirements and analysis through CAD, fabrication, assembly, commissioning, and iteration, partnering closely with electrical and software engineers to deliver safe, flexible, high-uptime test cells. In this role, you will Own the mechanical architecture of dynamometer and actuator test cells, including frames, bases, load paths, alignment, guarding, and serviceability. Design dynamometer structures, robotic actuator fixtures, load-motor mounts, couplings, shafts, bearings, adapters, and torque-reaction hardware. Translate robotic actuator test requirements into robust mechanical systems for torque, speed, thermal, durability, backdrive, efficiency, and failure testing. Perform first-principles analysis and simulation for stiffness, strength, fatigue, vibration, thermal growth, critical speed, and safety factors. Create precise, repeatable alignment strategies that protect test articles, load machines, sensors, and couplings. Design modular fixturing that supports rapid changeover across actuator and motor variants without compromising measurement quality. Work closely with electrical engineers on cable routing

About the Team OpenAI's data and storage infrastructure spans data platforms, online databases, and file/object storage. These systems underpin data ingestion and processing, durable persistence, indexing and retrieval, and product file experiences. As frontier models and agents evolve how they use memory, history and snapshots, the underlying architecture increasingly shapes the capabilities products can deliver—and their latency, reliability, cost and efficiency. About the Role We are looking for a technically deep TPM to independently define and lead multiple programs across data platforms, online databases and storage infrastructure. You will connect model, product and data-consumer requirements to architecture, and work with the relevant engineering teams to take new capabilities through production adoption and repeatable expansion. The design scope is exabyte-scale storage and infrastructure spanning multiple millions of CPU cores. The challenge is not simply forecasting more resources: it is making complete, workload-ready capacity repeatable, with a clear path from product requirements through architecture, deployment and validation. A data pipeline, database query, file operation or execution snapshot can affect whether a product or agent succeeds; you will connect those outcomes to the systems underneath. 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: Translate model, product and data-platform needs into precise access patterns, consistency, durability, freshness, availability and scalability requirements. Connect memory, history, retrieval and resumable work to capability and end-to-end latency. Partner with engineering to transform data and storage architecture into repeatable scale units: standardized provisioning, placement, routing, data movement and readiness checks that bring storage, compute and networking online together.

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. As a Support Systems Lead at Replit, you'll build and own the systems that let support scale as fast as the product does. You'll own the tools our team works in every day, the technical setup behind self-service and AI-driven support, and the infrastructure that keeps all of it current as Replit ships. Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You'll shape how our support systems adapt to new products, new surfaces, and AI-assisted workflows, operating effectively in ambiguity and turning ad hoc fixes into infrastructure the whole team can rely on. You'll combine hands-on technical depth with systems thinking to keep builders moving, whether they get unblocked through self-service, an AI agent, or a person. This is an individual contributor role to start, with room to grow and build out a team as support scales. IN THIS ROLE YOU WILL: Configure and maintain Zendesk and the surrounding support stack, from the day-to-day workflow and automation setup to business rules and permissions, keeping it able to flex and scale as needs change. Build and maintain assignment logic, queues, tagging and taxonomy, and escalation paths, keeping them running cleanly as volume and workflows change. Set up and maintain support tooling, workflows, and access across internal agents, outsourced vendors, and regions, keeping the systems working for each group as the stack changes. Partner with Engineering on the technical requirements for self-service and in-product support surfaces, and build the entry points, help widgets, and routing behind them. Spot the repetitive steps in agent and admin workflows before they become bottlenecks, and build the automations, bulk acti

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. As a Support Systems Lead at Replit, you'll build and own the systems that let support scale as fast as the product does. You'll own the tools our team works in every day, the technical setup behind self-service and AI-driven support, and the infrastructure that keeps all of it current as Replit ships. Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You'll shape how our support systems adapt to new products, new surfaces, and AI-assisted workflows, operating effectively in ambiguity and turning ad hoc fixes into infrastructure the whole team can rely on. You'll combine hands-on technical depth with systems thinking to keep builders moving, whether they get unblocked through self-service, an AI agent, or a person. This is an individual contributor role to start, with room to grow and build out a team as support scales. IN THIS ROLE YOU WILL: Configure and maintain Zendesk and the surrounding support stack, from the day-to-day workflow and automation setup to business rules and permissions, keeping it able to flex and scale as needs change. Build and maintain assignment logic, queues, tagging and taxonomy, and escalation paths, keeping them running cleanly as volume and workflows change. Set up and maintain support tooling, workflows, and access across internal agents, outsourced vendors, and regions, keeping the systems working for each group as the stack changes. Partner with Engineering on the technical requirements for self-service and in-product support surfaces, and build the entry points, help widgets, and routing behind them. Spot the repetitive steps in agent and admin workflows before they become bottlenecks, and build the automations, bulk acti

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC. Join Our Team At GoDaddy, we're building the future of AI at scale. The GenAI team powers the platform, tools, and services that enable generative AI innovation across the company, from intelligent routing and AI spend optimization to the next generation of AI-powered products and experiences. As part of our team, you'll help empower engineers, product teams, and business partners to securely build, deploy, and scale AI solutions that drive real customer and business impact. Our platform supports 100+ large language models across leading providers including OpenAI, Anthropic, Google, and AWS, delivering 99.99% uptime and enabling thousands of employees across dozens of teams to innovate with confidence. If you're excited about solving complex technical challenges, shaping the future of AI infrastructure, and building platforms that amplify the impact of an entire organization, we'd love to hear from you. What you'll get to do... Design, develop, and maintain high-quality software solutions using JavaScript and Python, supported by comprehensive unit and integration testing Collaborate across the full software development lifecycle, including planning, architecture, implementation, deployment, and ongoing maintenance of both client-side and server-side applications Drive engineering excellence through thoughtful code revie

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Business Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence by developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst core business audiences. The Strategy & Operations function supports Business Marketing with operating models and cadences; strategic planning; portfolio, resource, and investment management; measurement and organizational learning that empower our teams to move at pace with clarity and confidence. About the Role We’re looking for a Resource Manager that will put the right work in the right place, with the right people, at the right level of effort. Creative work is where the portfolio becomes real. You will work closely with creative teams, integrated marketing, product marketing, agencies, regional teams, and leadership to ensure high-priority work has a realistic path forward. You will create clarity for teams on how to move fast, using intuitive and simple processes rather than adding complex systems or bureaucracy. This role owns the front door to business creative and integrated marketing work: intake, triage, prioritization, routing, staffing, and capacity planning across product campaigns, line-of-business motions, integrated marketing programs, launches, regional requests, and one-off asks. Because of that, this role requires a strategic thinker who applies rigor and judgment to every new idea. You will independently assess what matters most, clarify the real need behind the ask, and determine whether work should be grouped into an existing campaign, routed to another team, self-served, supported by an agency or contractor, deferred, or declined. This role may be based in San Francisco or performed remotely, subject to approved hiring locations and recruiting guidance. In this rol

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’s High‑Bandwidth Memory (HBM) Digital Design organization is seeking a Digital Physical Design Engineer to drive backend implementation of high‑performance, low‑power digital logic used in advanced memory products. This role spans backend implementation from Netlist to GDSII, with a strong focus on timing closure, power integrity, and manufacturability in advanced process technologies. The successful candidate will work closely with RTL, DFT, CAD, and verification teams to deliver high‑quality physical designs, contribute to methodology improvements, and help push performance, power, and area (PPA) targets in complex, multi‑hierarchy designs. Key Responsibilities: Own and execute physical design implementation from synthesized netlist through GDSII, including floorplanning, placement, clock tree synthesis, routing, and physical signoff Utilize AI-Enabled tools in the Netlist to GDS flow Perform and drive timing closure across multiple modes, corners, and scenarios using industry‑standard STA tools Analyze and resolve congestion, timing, IR drop, EM, and power integrity issues Develop and refine floorplans, power grids, and clocking strategies for high‑performance designs Work with placement and timing closure of custom analog hard IP macros in a digital-on-top design flow Collaborate closely with RTL designers to influence partitioning, constraints, and micro‑architecture decisions early in the design cycle Implement and va

About the Team The Startup Growth team is building the systems, programs, and automation that enable OpenAI to win startups at scale. We need to make it dramatically faster and easier to turn high-potential growth ideas into repeatable, measurable GTM motions without bespoke infrastructure for every program. About the Role The GTM Growth Programs Lead will own the shared capabilities that enable Startup GTM to incubate, launch, measure, and scale growth programs. The role will initially own credit and commercial programs while using that work to build reusable infrastructure for a broader portfolio of GTM motions. The goal is not to centralize program ownership: teams closest to startups should continue to identify, incubate, and own growth motions. This role will build the operating system that makes them dramatically better and faster at doing so. 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: Build the GTM program platform for Startups. Develop shared infrastructure, tooling, and agentic systems that turn growth opportunities into scalable programs, automate work across the program lifecycle, and make each subsequent motion faster to launch. Own credit and commercial programs. Drive credit/commercial strategy and evolution while turning capabilities such as audience selection, eligibility, offer configuration, distribution, and measurement into reusable building blocks. Create a repeatable path from idea to scaled motion. Turn “we need to increase X” into targeted, operationalized, measurable GTM motions. Build leverage throughout the team. Enable ADs, VC Partnerships, and other Startup GTM teams to incubate and own programs independently rather than routing every motion through centralized operations. Develop shared measurement and experimentation frameworks and capabilities. Establish common approaches to sizing, economics, attribution