Developer Experience Lead Jobs

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. Content Systems is the heart of Lyft's language ecosystem. The team is made up of two distinct disciplines, Content Design and Learning Experience Design, who create and own language across Lyft's in-app experiences that help customers succeed on the Lyft platform. We're looking for a Content Design intern to join our team for the summer. This role will both help design and build our internal content system (think information architecture), and embed in a rotation of design teams as a content design/learning design partner in building products across the Lyft community. Of course, you won’t be alone. You'll work with designers, researchers, marketers, and product managers day in and day out to develop experiences that reach and resonate with riders. This internship will take place in our Toronto office during Summer 2027 . What we're looking for Responsibilities: Support our content system by establishing and translating information architecture to help manage content across Lyft Help teams reconsider existing systems and processes (eg publishing workflows) to align to the new information architecture Support product strategy and vision through content, working on projects as a content designer and learning experience designer Translate complicated concepts into clear in-product copy (UI, notifications, errors, and more) and learning materials Collaborate with designers, visual content creators, researchers, engineers, marketers, data science, product managers, and other stakeholders across tech and ops The ability to translate concepts across the UI, learning center, and knowledge base into connected content objects Manage multiple projects and competing priorities Maintain, evolve and champion the Lyft brand voice and style Skills: Excellent writing skills; ability to

POSITION SUMMARY: The Natera Test Coordinator plays a vital role in ensuring a seamless testing experience for patients. This position is responsible for scheduling and determining the most effective method for blood collection, preparing specimens for laboratory testing, and managing all necessary paperwork to ensure compliance. In this role, you will work closely with customers and the sales team to facilitate an efficient ordering process and timely reporting of results. The ideal candidate thrives in an independent work environment, excels at multitasking, and demonstrates strong critical thinking skills to resolve issues promptly. This is a clinic based position in ( Austin, TX ) Job offer is contingent upon pre-employment requirements for the assigned clinic. PRIMARY RESPONSIBILITIES PHLEBOTOMY SERVICES: Perform venipunctures to obtain blood specimens with precision and care. Verify patient identity and test requisitions, ensuring accuracy by cross-referencing EMR records and resolving discrepancies. Maintain specimen integrity by following aseptic techniques, department protocols, and isolation procedures. Accurately track collected specimens by documenting initials, date, and collection time, while maintaining daily collection logs. PATIENT CARE COORDINATION: Oversee and coordinate patient care services to ensure efficient and high-quality healthcare delivery. Manage administrative tasks, including accessing patient records, scheduling appointments, and aligning blood draw times with clinic requirements. Collaborate with Field Sales and internal operations teams to provide patient support and ensure continuity of care. Develop and maintain strong patient relationships to encourage ongoing testing and adherence to recommended care plans. ADMINISTRATIVE AND OPERATIONAL MANAGEMENT: Act as the primary liaison for accounts and Sales, documenting all interactions,

POSITION SUMMARY: The Natera Test Coordinator plays a vital role in ensuring a seamless testing experience for patients. This position is responsible for scheduling and determining the most effective method for blood collection, preparing specimens for laboratory testing, and managing all necessary paperwork to ensure compliance. In this role, you will work closely with customers and the sales team to facilitate an efficient ordering process and timely reporting of results. The ideal candidate thrives in an independent work environment, excels at multitasking, and demonstrates strong critical thinking skills to resolve issues promptly. **This is a clinic based position in San Carlos, CA Job offer is contingent upon pre-employment requirements for the assigned clinic. PRIMARY RESPONSIBILITIES PHLEBOTOMY SERVICES: Perform venipunctures to obtain blood specimens with precision and care. Verify patient identity and test requisitions, ensuring accuracy by cross-referencing EMR records and resolving discrepancies. Maintain specimen integrity by following aseptic techniques, department protocols, and isolation procedures. Accurately track collected specimens by documenting initials, date, and collection time, while maintaining daily collection logs. PATIENT CARE COORDINATION: Oversee and coordinate patient care services to ensure efficient and high-quality healthcare delivery. Manage administrative tasks, including accessing patient records, scheduling appointments, and aligning blood draw times with clinic requirements. Collaborate with Field Sales and internal operations teams to provide patient support and ensure continuity of care. Develop and maintain strong patient relationships to encourage ongoing testing and adherence to recommended care plans. ADMINISTRATIVE AND OPERATIONAL MANAGEMENT: Act as the primary liaison for accounts and Sales, documenting all interactions, comm

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 Complex Nurse Case Manager is responsible for assessing members through regular and consistent in person or telephonic contact to assess, plan, implement and coordinate all case management activities with members to evaluate the medical and psychosocial needs of the member to facilitate and support the member’s improved health. The Case Manager develops a proactive course of action to address issues presented to enhance the short and long-term outcomes as well as opportunities to enhance a member’s overall wellness. Services strategies policies and programs are comprised of network management and clinical coverage policies. This is a field-based position that requires routine regional in-state travel 80-90% of the time; use of personal vehicle is required. Qualified candidates must have valid KY driver's license, proof of vehicle insurance, and reliable transportation. Travel to the Louisville office is also anticipated for meetings and training. This position is assigned to the Two Rivers Region. Qualified candidates must reside in one of the counties within Two Rivers (Union, Webster, Henderson, Daviess, Hancock, McLean, Ohio, Butler, Edmonson, Hart, Warren, Logan, Simpson, Allen, Monroe, Metcalfe, Barren). Evaluation of Members: Through the use of clinical assessment tools and evaluating information/data review, conducts a comprehensi

Job Title Production Planner Job Description Production Planner Your Role: Job Responsibilities: • Ensures on-time delivery of customer orders by managing the quality of planning-related master data in close cooperation with Enterprise Information Management (EIM). • Generates a feasible/final Master Production Schedule (MPS) from the Initial/semi-final MPS provided by the Supply Planning function. • Develops a feasible Detailed Production Schedule (DPS) and Material Requirements Plan (MRP) from the MPS while minimizing changeover times in collaboration with Production/Operations Management. • Works diligently to optimize the utilization of both workforce and equipment, strategizing to enhance efficiency and productivity across production operations. • Coordinates planning-related master data in concert with Enterprise Information Management (EIM), ensuring data integrity and consistency to facilitate effective decision-making. • Releases meticulously crafted production schedules to the shop floor, ensuring that operational activities align seamlessly with organizational objectives and priorities. • Facilitates regular and structured planning handshake meetings with Production/Operations Management, fostering open communication channels to address challenges, align priorities, and drive operational excellence. • Engages in troubleshooting production orders and materials, promptly identifying and resolving issues to maintain operational continuity and uphold delivery commitments. You Are a Great Fit If: • Bachelor’s degree in computer science, Software Engineering, Electronics, Information Technology, or a related engineering discipline. • Minimum 2 years till 5 years of experience in production plant or manufacturing site or equivalent. Exte

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 Staff Software Engineer to help build the next generation of CLEAR's enterprise identity platform, CLEAR1. We’re creating frictionless identity solutions for some of the most sophisticated companies in the world and pushing the boundaries everywhere we go. As a Staff Engineer, you’ll own high-impact, cross-functional products and integrations end to end from problem framing and architecture through implementation, rollout, adoption, and measurable outcomes. This is an ideal role for someone who thrives in scrappy, ambiguous environments, while bringing the technical rigor and operating discipline developed at larger companies. You’ll partner across teams, establish reusable patterns and standards, improve reliability and execution, influence technical direction, and mentor other engineers. A brief highlight of our tech stack: Python / Java / React / Typescript What you’ll do: Design, build, test, and deploy scalable applications that power CLEAR’s identity platform. Own projects end to end—from technical discovery and architecture through implementation, rollout, adoption, and operational support. Partner closely with Product, Design, Data, Security, and Operations to translate business problems into simple, scalable technical solutions. Design for reality by understanding failure modes, system dependencies, degradation strategies, recovery paths, and the points where systems may break under scale. Build quality and operability into the design from the start, including test strategy, observability, alerting, sa

NVIDIA is seeking a Senior System Architect: Heterogeneous EDA Systems to solve a complex challenge in accelerated computing: Failure Attribution at Scale. As EDA or equivalent experience workloads scale across thousands of heterogeneous nodes, a single failure can cause massive resource waste. We need an engineer to develop and build an automated framework. This framework will ingest telemetry from CPU and GPU clusters to identify the root cause of job failures in real-time. It will distinguish between hardware faults, infrastructure instability, and software defects. What you'll be doing: Architect Failure Attribution Frameworks: Build a scalable "flight recorder" for EDA jobs that captures high-fidelity state across the CPU, GPU, and Fabric at the moment of failure. Build automated diagnostics that correlate GPU XID errors, PCIe bus failures, and CUDA memory exceptions. Connect these errors with system-level events such as OOM kills or NUMA-related hangs. Distributed Logging & Tracing: Implement low-overhead tracing mechanisms (using tracing tools or custom agents) that provide access to job execution across multi-node Slurm or Kubernetes clusters. Root Cause Automation: Develop heuristics and models based on machine learning to classify failures as "Hardware Fault," "Software Bug," or "Environment Issue." This reduces the Mean Time to Identify (MTTI) for R&D teams. Resiliency Engineering: Work closely with hardware and infrastructure teams to define "signals of impending failure," enabling proactive job migration or check-pointing before a crash occurs. What we need to see: Distributed Systems Mastery: BS, MS, or PhD in Computer Science or Electrical Engineering (or equivalent experience) with 6+ years in systems programming. Experience building automated

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. Within Personalization, the Speak Team owns the development of Spotify's state-of-the-art speech models, contributing to speech recognition, speech synthesis, and speech-to-speech models. We craft voice models that match human-level emotional expressiveness, so we can deeply engage our listeners and support creators at scale. Our groundbreaking work on speech synthesis relies on state-of-the-art deep learning methods and evaluation techniques, highly efficient data processing and model serving, and capturing audio of outstanding quality from our voice talent pool. We're looking for a senior applied research scientist with experience in developing novel ML techniques and architectures and with a strong interest in working across a full production pipeline to produce state-of-the-art generative conversational speech-to-speech models. You'll collaborate with our engineering teams to help develop our production pipelines, explore new ideas and methods to improve quality, understanding and realism, as well as push the frontiers of what is possible with our speech technology. What You'll Do Develop and experiment with new methods for speech synthesis and speech recognition, along with end-to-end approaches, building on the latest research and ideas. Work towards the expansion of our speech use-cases targeting different markets and products. Be part of a highly motivated research team dedicated to building and creating models at scale to power the Spotify platform. Champion best practices for research and development, sharing your knowledge and

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. Within Personalization, the Speak Team owns the development of Spotify's state-of-the-art speech models, contributing to speech recognition, speech synthesis, and speech-to-speech models. We craft voice models that match human-level emotional expressiveness, so we can deeply engage our listeners and support creators at scale. Our groundbreaking work on speech synthesis relies on state-of-the-art deep learning methods and evaluation techniques, highly efficient data processing and model serving, and capturing audio of outstanding quality from our voice talent pool. We're looking for a senior applied research scientist with experience in developing novel ML techniques and architectures and with a strong interest in working across a full production pipeline to produce state-of-the-art generative conversational speech-to-speech models. You'll collaborate with our engineering teams to help develop our production pipelines, explore new ideas and methods to improve quality, understanding and realism, as well as push the frontiers of what is possible with our speech technology. What You'll Do Develop and experiment with new methods for speech synthesis and speech recognition, along with end-to-end approaches, building on the latest research and ideas. Work towards the expansion of our speech use-cases targeting different markets and products. Be part of a highly motivated research team dedicated to building and creating models at scale to power the Spotify platform. Champion best practices for research and development, sharing your knowledge and exper

Job Details: Job Description: The Role and Impact Are you ready to make a significant contribution to cutting-edge semiconductor designs? As a DFT Design Engineer, you will play a critical role in shaping the testability, debuggability and reliability of complex SoC (System-on-Chip) designs. You will work closely with cross-functional teams, influencing designs from concept to production, and ensuring our products meet the highest quality standards. In this role, you will develop innovative DFT/DFD methodologies, optimize workflow with AI, and enhance post silicon efficiency. Your work will directly impact Intel's ability to deliver world-class semiconductor solutions that advance technology across industries. Key Responsibilities : Develop and implement advanced DFT methodologies for complex SoC designs to maximize test coverage and efficiency. Collaborate with design, verification, and manufacturing teams to define and optimize post silicon strategies and requirements. Integrate DFT/DFD features into RTL and ensure verification of design for testability requirements. Collaborate with post-silicon teams to debug and validate DFT features. Stay current with emerging trends, AI adoption and technologies in DFT/DFD to ensure best practices are incorporated into workflows. Qualifications: Minimum Qualifications : Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field. 5+ years of experience in DFT, SoC design, or related semiconductor design areas. Expertise in RTL design using hardware description languages like Verilog, VHDL, or SystemVerilog. Preferred Qualifications : Familiar with AI application. Familiarity w

Adobe is seeking a Machine Learning Engineer to join the Adobe Risk Platform (ARP) team. ARP is Adobe's centralized, adaptive system for detecting, preventing, and mitigating fraud and abuse across products and services — protecting surfaces like Commerce, Stock, and Firefly with real-time risk decisions, without degrading the customer experience. In this position, you will help build and develop machine learning models to identify fraudulent activity, detect abusive account behavior, and protect the experience of hundreds of millions of users. You'll work across the model lifecycle from raw behavioral data and feature engineering, to model training, deployment, and monitoring alongside senior engineers on the team. Key Responsibilities Help build and train ML models covering various fraud and abuse areas. These include financial transaction fraud, device-related deception, and account and identity abuse. The goal is a unified, continuously-updated trust and risk score. Contribute to feature engineering across transaction, device, and behavioral event data. Build and maintain feature pipelines on Databricks and Spark, transforming raw transaction and device event data into high-quality model inputs. Help translate prototypes into production ML systems, working with senior engineers on scalability, reliability, and observability. Support MLOps practices: experiment tracking, model versioning, CI/CD, and production monitoring. Collaborate cross-functionally with data science, product, and platform teams to understand fraud and abuse patterns across Adobe's surfaces. Stay ahead of advances in ML/AI, particularly in fraud detection and behavioral modeling, and bring relevant ideas to the team. Minimum Qualifications Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field (or equivalent experience). 3

Adobe is seeking a Machine Learning Engineer to join the Adobe Risk Platform (ARP) team. ARP is Adobe's centralized, adaptive system for detecting, preventing, and mitigating fraud and abuse across products and services — protecting surfaces like Commerce, Stock, and Firefly with real-time risk decisions, without degrading the customer experience. In this position, you will help build and develop machine learning models to identify fraudulent activity, detect abusive account behavior, and protect the experience of hundreds of millions of users. You'll work across the model lifecycle from raw behavioral data and feature engineering, to model training, deployment, and monitoring alongside senior engineers on the team. Key Responsibilities Help build and train ML models covering various fraud and abuse areas. These include financial transaction fraud, device-related deception, and account and identity abuse. The goal is a unified, continuously-updated trust and risk score. Contribute to feature engineering across transaction, device, and behavioral event data. Build and maintain feature pipelines on Databricks and Spark, transforming raw transaction and device event data into high-quality model inputs. Help translate prototypes into production ML systems, working with senior engineers on scalability, reliability, and observability. Support MLOps practices: experiment tracking, model versioning, CI/CD, and production monitoring. Collaborate cross-functionally with data science, product, and platform teams to understand fraud and abuse patterns across Adobe's surfaces. Stay ahead of advances in ML/AI, particularly in fraud detection and behavioral modeling, and bring relevant ideas to the team. Minimum Qualifications Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field (or equivalent experience). 5

ABOUT TOPGOLF Topgolf is a sports entertainment company that has changed how millions of people experience golf—and a genuinely energizing place to build a career. Every year, guests visit our venues for an experience that's hard to find anywhere else: hitting golf balls toward a target-lined outfield, tracking every shot in real time, enjoying great food and drinks, and connecting with friends, family, and coworkers. With more than 100 venues worldwide and proprietary Toptracer technology integrated into our guest experience and licensed globally, Topgolf operates at the intersection of entertainment, technology, and hospitality. We are a growing, dynamic business with meaningful opportunities to innovate, scale, and continuously improve how we support our teams and our guests. WHAT WE'RE SEEKING The Senior Accountant will support the Accounting team's monthly, quarterly, and annual close process, with a focus on prepaid and accrued expenses, payroll accounting, and construction and fixed asset accounting. This includes, but isn't limited to, reconciling balance sheet accounts, supporting internal and external audits, and serving as the accounting point of contact for a designated group of venues. This position will work cross-functionally to ensure accurate, timely financial reporting, and will help develop and document stronger accounting processes, controls, and use of AI-driven tools. WHAT YOU WILL DO Key Responsibilities Produce accurate, timely financial statements as part of the Accounting team's monthly, quarterly, and annual close process, including the external audit Maintain, amortize, and reconcile prepaid expenses, and record accurate accruals through searches for unrecorded liabilities Record and reconcile payroll, commission, and bonus accruals, including related reclassing and true-up entrie

Who we are About Stripe Stripe, LLC. 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. What you’ll do Responsibilities Develop scalable computer systems that manage a large volume of information and use them to fulfill business goals for the company and its partners. Improve backend scalability and performance by integrating lightweight backend framework, overhauling APIs and optimizing database systems. Design and build tools that ingest and process signals from various sources to make them more accessible for the company’s partner teams. Design and implement logging and data visualization system for backend APIs. Diagnose and resolve software issues reported from production, automated testing, QA testing and customers. Design and implement scalable and reliable automated testing suites to reduce manual Quality Assurance tasks. Collaborate with cross-functional teams and streamlined software development and deployment processes with Continuous Integration (CI) and Continuous Delivery (CD) pipelines. Who you are Minimum requirements Must have a Master's degree or foreign equivalent in Computer Science, Software Engineering, or a related field, plus six (6) years of software development experience. Must also have four (4) years of experience in each of the following: Building software solutions in Java, C++, Python, or Ruby; Designing, building and maintaining scalable systems; Translating business needs into software requirements and designs; Debugging production issues across services and multiple levels of the stack; Distri

Who we are About Stripe Stripe, LLC. 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. What you’ll do Responsibilities Develop global architecture by combining less-available components and data centers into a highly available and resilient whole. Work on latency-critical, time-sensitive and data redundancy solutions. Solve broad range of problems, including investigating Mongo write concerns, minimizing cross-region TLS handshakes, and develop new systems to automate disaster detection and failovers. Enable the company to increase the GDP of the internet by providing uptime and data protection. Write code, scope, design, implement, and deploy solutions using multiple technologies, including: Ruby, Java, Mongo, Postgres, and other necessary tools as required. Investigate issues in live, distributed production systems. Collaborate across the company to provide an understanding of multi-region architectures, high durability implementation patterns, and best practices. Learn, meet, and uphold high engineering standards through design and code review. Who you are Minimum requirements Must have a Bachelor’s degree or foreign equivalent in Computer Science, or a related field, plus five (5) years of post-bachelor’s progressive software development work experience. In the alternative, the employer is willing to accept a Master’s Degree or foreign equivalent degree in Computer Science, or a related field, plus three (3) years of software development work experience. Must also have three (3) years of experience in ea