Experience Requirements:

• Research or industrial engineering experience in large language model or multi-modality models

• Experience in data curation for LLMs

• Experience in pre-training or instruction tuning for LLMs

• Experience in building copilots & agents

• Experience in capability study and benchmarking for LLMs

Responsibilities:

• Develop LLMs targeted at powering copilots and agents built for enterprise workflows

• Develop toolings to attain last-mile quality and robustness for copilot & agents applications

• Building copilot & agent application solutions for high value customer verticals

• Collaborate with the whole team for product development, deployment and customer success

Experience Requirements:

• 3+ years experience in full-stack web development

• Proficient in developing web applications using React.js, Next.js, TypeScript, and Tailwind CSS

• Experience with backend API system development & deployment on cloud (e.g. AWS)

• Strong understanding of HTML, CSS, and JavaScript

• Experience in building ML applications or ML platforms

Responsibilities:

• Full-stack development in dev tooling and applications for GenAI copilots & agents

• Spearheading the development and maintenance of high-quality web front-end using React.js

• Contributing to the backend API system for cloud or on-prem deployment

• Staying updated on emerging technologies and best practices in web development

• Collaborating with Nexusflow.ai’s full team for product development, deployment and customer success

Benefits:

• An opportunity to advance the cutting-edge of LLM research and directly revolutionize work in the enterprise space.

• Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.

• Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.

• Competitive salary and benefits package, including equity options and healthcare.

• Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity. Editorial Note: The original extract provided 6 distinct benefits. Given the schema limit of 5, the last benefit, "A collaborative and intellectually stimulating environment that encourages innovation and personal growth.", was omitted to adhere to the constraint.

Experience Requirements:

• Exceptional Software Engineering Skills: AI’s rapid evolution means code written today might not be useful tomorrow. We need engineers who know how to design and write stable, maintainable, and secure systems that are able to evolve. We use Python but are open to strong experience in other languages.

• Experience with AI Systems: You should know how to build a RAG system, done prompt engineering, and know the difference between precision and recall. While you'll partner with our Research Team to design these systems, you must be able to do the work to drive a POC to a production grade AI tool.

Other Requirements:

• Strong Communication and Organizational Ability: As the project technical lead, you will own relationships with customer technical teams, develop a plan with Distyl’s Project Leads, and work with the rest of the engineering team to deliver.

• Understanding of Enterprise Cloud Architectures: Our systems are deployed into our customer's environments, often into complex hybrid cloud environments. Our business is won on our Lead AI Engineer’s abillity to be trusted by customer enterprise architecture teams.

• Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.

Responsibilities:

• Develop Production Grade AI Systems: For many of our customers we are their only successful GenAI project (and not for the lack of trying). This is because our AI Engineers are experts at understanding how to use software to tame the complexity of AI. They understand power and limits of both AI and Software and build systems which bring the best of both.

• Own End to End Delivery of Custom AI Solutions: Lead AI Engineers are responsible for architecting the solution, partnering with customer engineers to deploy into the customer’s environment, and then ensure the system operates as intended.

• Earn Our Customers' Trust: AI's power has yet to be fully realized, but there are already a lot of broken promises. All Distillers are customer facing and our engineers are responsible for making sure our promises are kept. You will partner with our AI strategists and researchers to devise a solution, present it customer enterprise architects, and then educate them on how our system works.

Benefits:

• An opportunity to advance the cutting-edge of LLM research and directly revolutionize work in the enterprise space.

• Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.

• Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.

• Competitive salary and benefits package, including equity options and healthcare.

• Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity. Editorial Note: The original extract provided 6 distinct benefits. Given the schema limit of 5, the last benefit, "A collaborative and intellectually stimulating environment that encourages innovation and personal growth.", was omitted to adhere to the constraint.

Experience Requirements:

• Exceptional Software Engineering Skills: AI’s rapid evolution means code written today might not be useful tomorrow. We need engineers who know how to design and write stable, maintainable, and secure systems that are able to evolve. We use Python but are open to strong experience in other languages.

• Experience with AI Systems: You should know how to build a RAG system, done prompt engineering, and know the difference between precision and recall. While you'll partner with our Research Team to design these systems, you must be able to do the work to drive a POC to a production grade AI tool.

Other Requirements:

• Strong Communication and Organizational Ability: As the project technical lead, you will own relationships with customer technical teams, develop a plan with Distyl’s Project Leads, and work with the rest of the engineering team to deliver.

• Understanding of Enterprise Cloud Architectures: Our systems are deployed into our customer's environments, often into complex hybrid cloud environments. Our business is won on our Lead AI Engineer’s abillity to be trusted by customer enterprise architecture teams.

• Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.

Responsibilities:

• Develop Production Grade AI Systems: For many of our customers we are their only successful GenAI project (and not for the lack of trying). This is because our AI Engineers are experts at understanding how to use software to tame the complexity of AI. They understand power and limits of both AI and Software and build systems which bring the best of both.

• Own End to End Delivery of Custom AI Solutions: Lead AI Engineers are responsible for architecting the solution, partnering with customer engineers to deploy into the customer’s environment, and then ensure the system operates as intended.

• Earn Our Customer's Trust: AI's power has yet to be fully realized, but there are already a lot of broken promises. All Distillers are customer facing and our engineers are responsible for making sure our promises are kept. You will partner with our AI strategists and researchers to devise a solution, present it customer enterprise architects, and then educate them on how our system works.

Benefits:

• Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.

• Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

Education Requirements:

• Bachelor’s degree in Computer Science, Mathematics, or a related technical field.

Experience Requirements:

• 3+ years of experience as a software or machine learning engineer.

• Strong programming skills and experience with production software development.

• Expertise in machine learning frameworks (e.g., PyTorch, Transformers, Scikit-learn), data libraries (e.g., NumPy, Pandas), and ML operations.

• Experience with cloud infrastructure and modern deployment practices (e.g., CI/CD, Git, Docker, AWS/GCP/Azure).

Other Requirements:

• Strong understanding of AI/ML evaluation and how to operationalize responsible, reliable systems.

• Strong communication and collaboration skills, with the ability to work cross-functionally with customers and internal teams.

• Passion for AI and a pragmatic approach to solving real-world problems.

Responsibilities:

• LLM Systems Engineering: Design and implement robust LLM-powered systems that deliver real business value. This includes model evaluation, prompt design, agent logic, pilot development, and production deployment.

• Customer Collaboration: Work closely with customer stakeholders to understand business pain points and technical constraints, then translate these into technical architectures and applications.

• Platform Development: Contribute to the development of Distillery, our internal platform for LLM application development, by building reusable components, tools, and infrastructure to support the broader engineering team.

• Production Quality: Ensure that deployed systems are observable, maintainable, and meet rigorous performance and reliability standards.

• AI Evaluation: Apply a scientific and thoughtful approach to model vetting and evaluation, accounting for accuracy, explainability, cost, latency, and robustness. Editorial Note: The original extract provided 7 distinct responsibilities. Given the schema limit of 5, the responsibilities

Benefits:

• Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.

• Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

Education Requirements:

• Bachelor’s degree in Computer Science, Mathematics, or a related technical field.

Experience Requirements:

• 3+ years of experience as a software or machine learning engineer.

• Strong programming skills and experience with production software development.

• Expertise in machine learning frameworks (e.g., PyTorch, Transformers, Scikit-learn), data libraries (e.g., NumPy, Pandas), and ML operations.

• Experience with cloud infrastructure and modern deployment practices (e.g., CI/CD, Git, Docker, AWS/GCP/Azure).

Other Requirements:

• Strong understanding of AI/ML evaluation and how to operationalize responsible, reliable systems.

• Strong communication and collaboration skills, with the ability to work cross-functionally with customers and internal teams.

• Passion for AI and a pragmatic approach to solving real-world problems.

Responsibilities:

• LLM Systems Engineering: Design and implement robust LLM-powered systems that deliver real business value. This includes model evaluation, prompt design, agent logic, pilot development, and production deployment.

• Customer Collaboration: Work closely with customer stakeholders to understand business pain points and technical constraints, then translate these into technical architectures and applications.

• Platform Development: Contribute to the development of Distillery, our internal platform for LLM application development, by building reusable components, tools, and infrastructure to support the broader engineering team.

• Production Quality: Ensure that deployed systems are observable, maintainable, and meet rigorous performance and reliability standards.

• AI Evaluation: Apply a scientific and thoughtful approach to model vetting and evaluation, accounting for accuracy, explainability, cost, latency, and robustness. Editorial Note: The original extract provided 7 distinct responsibilities. Given the schema limit of 5, the responsibilities

Education Requirements:

• BSc in Computer Science or equivalent

Experience Requirements:

• 7+ years of experience in software development

• 5+ years of experience with Node.js

• Expert knowledge of Python capabilities and limitations

• Understanding of front-end concepts and technology (React, TypeScript)

• Experience with relational databases (such as PostgreSQL)

Other Requirements:

• Excellent communication skills

• Organized and self-driven

• Familiarity with Agile development methodologies

• Ability to work in high-paced and dynamic start-up environments

• An all-star team player with a “can do” attitude

Responsibilities:

• Design and build our scalable enterprise-grade control plane using industry best practices focusing on quality, performance, and delivery.

• Write well-crafted, tested, readable, and maintainable code.

• Participate in code design, code review, and distribution knowledge.

• Develop distribution and deployment tools for different platforms.

• Collaborate with data-scientists, product managers and other team members to ensure high-quality and timely deliverables.

Benefits:

• Competitive salary and benefits package

• Opportunities for growth and professional development

• A dynamic and inclusive work environment

• The chance to work on cutting-edge projects that impact the future of software development

Experience Requirements:

• Proven experience as a UX Engineer or similar role, with a strong portfolio showcasing your UX design and front-end development work

• Proficiency in front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular

• Experience with design tools such as Sketch, Figma, or Adobe XD

• Strong understanding of user-centered design principles and best practices

• Ability to create wireframes, prototypes, and high-fidelity mockups

Other Requirements:

• Experience in working with AI-driven platforms

• Knowledge of accessibility standards (WCAG) and best practices

• Familiarity with user testing tools and analytics platforms

Responsibilities:

• Design and implement user interfaces that are intuitive, efficient, and engaging

• Collaborate with designers, product managers, and developers to translate user needs and business requirements into interactive and functional user interfaces

• Conduct user research, usability testing, and feedback analysis to inform design decisions

• Ensure all UI/UX designs adhere to best practices in accessibility, scalability, and responsiveness

• Develop and maintain design systems and documentation to ensure consistency across the platform

Benefits:

• private health insurance

• extra paid day off for your birthday

• flexible sick leave policies

• two weeks of additional paid parental leave

• focus on career development

Experience Requirements:

• 5+ years working in infrastructure (SysAdmin, SRE, SysOps roles)

Other Requirements:

• Confident with Linux and Windows systems

• Strong Git and version control experience

• Experience with Infrastructure-as-Code (especially Terraform)

• Deep understanding of AWS

• Familiarity with networking protocols and Unifi tools

Responsibilities:

• Help build the infrastructure powering next-generation computer vision technology

• Help scale and support Eyecue, Fingermark’s computer vision intelligence platform

• Build and maintain hybrid infrastructure across cloud (AWS) and on-premise environments

• Play a key role in enabling seamless deployment across cloud, edge, and extreme edge devices

• Helping to operationalise computer vision and machine learning at scale

Benefits:

• You’ll get to help redefine how we work with AI.

• You’ll learn much more about machine learning, generative AI, healthcare, product, and commercial excellence.

• You’ll work in a multidisciplinary company with over 28 nationalities anchored in a flat meritocracy.

• You’ll work with some of the smartest people you have met.

Education Requirements:

• Bachelor’s degree in Information Security, Computer Science, Information Technology, or a related field; Master’s degree or relevant certifications (e.g., CISSP, CISM, CISA) preferred.

Experience Requirements:

• 3+ years of experience in an IT Engineering role, focusing on security, compliance, project management and IT troubleshooting.

• An interest in modern security best-practices and containerized production environments using Kubernetes.

• Strong understanding of IT infrastructure, networking, and security technologies such as Azure Entra ID, VLAN’s, IPMI/BMC, XDR and NGAV.

• A passion for automation, a strong sense of quality and a practical approach to problem-solving.

• Experienced in server and endpoint device management, including Windows, MacOS, and Linux operating systems, including the use of MDM.

Other Requirements:

• Occasional travel required to data centres for on-site support

Responsibilities:

• Assessed and responded to all operational cybersecurity-related incidents according to Corti's relevant policies and procedures.

• Resolved all reported incidents quickly and effectively according to our internal SLAs and standards.

• Ensured operational effectiveness and planning capacity of the network and data center infrastructure.

• Supported the development and operations of our datacenter infrastructure to allow our engineers to focus on the product.

• Support company-wide operational IT and security policies in Drata, and ensured that Cortians adhere to them.

Benefits:

• Work closely with healthcare technology professionals, continuously learning and growing.

• Be part of an autonomous, team-oriented culture.

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Experience Requirements:

• 3-5 years of experience in cloud infrastructure, DevOps, or platform engineering.

• Proficiency in Kubernetes administration and containerised application deployment.

• Experience working with event-driven architectures and message brokers (especially Kafka).

• Strong understanding of observability tools like Grafana or Datadog for monitoring and troubleshooting.

• Hands-on experience with Kubernetes, container orchestration, and cloud infrastructure (AWS, GCP, or Azure).

Other Requirements:

• Excellent English verbal and written communication skills, including all-remote communication.

Responsibilities:

• Help partners with Day 1 and Day 2 operations for forward-deployed AI Platform installations, ensuring smooth deployment and ongoing functionality.

• Feedback areas of improvement that will simplify operation at the partner site and enhance the overall performance of our solutions.

• Enable partners to get the most out of their forward-deployed components through technical guidance, troubleshooting, and optimization.

• Serve as the technical bridge between Corti's engineering team and healthcare partners, translating requirements in both directions.

• Monitor and maintain deployed systems, diagnosing and resolving issues proactively before they impact operations.

Benefits:

• You’ll get to help redefine how we work with AI.

• You’ll learn much more about machine learning, generative AI, healthcare, product, and commercial excellence.

• You’ll work in a multidisciplinary company with over 20 nationalities anchored in a flat meritocracy.

• You’ll work with some of the smartest people you have met.

Experience Requirements:

• 5+ years of experience in technical customer success, partnership success, or a similar role with strong focus on troubleshooting and technical problem-solving, preferably B2B or SaaS space.

• Demonstrated ability to drive successful onboarding processes with quick time to value for customers & partners.

• Deep understanding of AI and technical concepts and the ability to articulate these concepts to a technical audience, including engineers, developers, and IT teams.

• Strong communication skills with an ability to convey complex concepts to diverse audiences.

• Proven ability to manage and influence cross-functional teams without formal authority.

Other Requirements:

• Fluency in English and German (min. C1), additional languages are beneficial.

• Opportunity to travel and meet customers.

Responsibilities:

• Orchestrate and expand customer and engineering partner relationships, including managing customer interactions/stakeholders, and strategizing technical account growth.

• Support the go-to-market (GTM) teams in bolstering technical customer relationships and fostering long-term commitments with realistic expectations and plenty of excitement.

• Collaborate daily with our Product team as well as GTM teams.

• Take full ownership of onboarding our customers, managing the transition, effectively integrate our API platform and ensuring they get the most out of our products.

• Act as primary technical point of contact for customers, proactively troubleshoot and resolve technical issues, coordinating with internal teams to diagnose, escalate and resolve complex problems.

Benefits:

• Remote work with an open-source culture

• 14 days leave (and unlimited sick days)

• GPUs, AI credits, fast progression

Experience Requirements:

• Proficient in C/C++: Deep experience with modern C/C++ standards and development environments.

• Python Scripting: Ability to prototype, test, or automate development workflows with Python.

• Embedded Systems: Solid understanding of embedded software design, Linux OS, and system resource management.

• Hardware Communication: Experience with protocols such as Ethernet, CAN, SPI, UART, etc.

• System-level Thinking: Comfort navigating software, hardware, and simulation domains.

Responsibilities:

• Robust C/C++ Development: Architect, author, and maintain reliable, high-performance C/C++ code for our core robotics software framework

• Feature Prototyping & Sim2Real Transfer: Prototype novel algorithms, perception pipelines, and behavior models. Validate performance and robustness in both simulation and on physical robots

• Multi-disciplinary Collaboration: Work closely with AI research, infra/platform, controls, and hardware teams to ensure seamless system integration and cross-team alignment on technical objectives

• Open-source Contribution: Design or contribute to advanced, open-source humanoid robotics platforms and tools, driving wide research and industry adoption

• Embedded & Linux Systems: Develop software that interfaces reliably with embedded systems, Linux environments, and real-time constraints

Benefits:

• Remote work with an open-source culture

• 14 days leave (and unlimited sick days)

• GPUs, AI credits, fast progression

Experience Requirements:

• 2+ years of experience in robotic controls design, PLC/HMI programming, or automation systems integration.

• Proficient with control system design tools (MATLAB/Simulink, LabVIEW, etc.)

• Experience programming real life commercial, toy or industrial robots

• Hands-on experience with industrial networking (Ethernet/IP, EtherCat, etc.)

• Mid-level

Other Requirements:

• Familiarity with ROS (Robot Operating System) and Python or C++

• Strong understanding of safety standards (ISO 10218, RIA R15.06) in robotic applications

Responsibilities:

• Design & Implementation: Develop reliable C/C++ code for the Menlo Robotics software framework, ensuring high performance and maintainability

• Real-Time, Closed loop Control Systems: Architect and program real-time control systems for a variety of robotic applications

• Systems Integration: Design, develop, and integrate software with PLCs, motion controllers, and a range of sensors and actuators

• Multi-DOF Control Algorithms: Conduct simulation, tuning, and validation of advanced robotics control algorithms, including PID, model predictive control, and adaptive control strategies

• Linear/non-linear systems: Analyze options and develop robust, stable controllers

Benefits:

• Remote work with an open-source culture

• 14 days leave (and unlimited sick days)

• GPUs, AI credits, fast progression

Experience Requirements:

• Desktop experience: native apps, Tauri, Electron, QT or equivalent

• Mobile experience: native iOS/Android, React Native, Tauri Mobile, Qt Mobile, or equivalent

• Mobile UI/UX and responsive design experience

• Production level experience on backend engineering and scaling

• CI/CD pipeline experience

Other Requirements:

• Cross platform architecture (e.g. RIBs)

• Cross-platform build tools (e.g. Bazel)

• Ability to build native modules/dependencies (e.g., Swift Package Manager for iOS/MacOs)

• Experience scaling software with Docker, Kubernetes (K8s) containerization platforms

• Cloud experience working with AWS, GCP, Azure or Self hosted On-Premise environments

Responsibilities:

• Design, develop, and deploy scalable features across our mobile, web, and cloud platforms

• Collaborate with product, design, and AI/ML teams to build user-centric applications powered by cutting-edge models

• Optimize both software and inference performance across devices and browsers, ensuring high reliability and responsiveness

• Write clean, maintainable code and participate in code reviews

• Automate documentation, processes, and systems to facilitate knowledge sharing within the team

Experience Requirements:

• 3+ years of experience building and operating large-scale, production systems with real-world usage and uptime expectations

• Strong experience with containerization and orchestration: Kubernetes, Docker, Helm, and service mesh technologies

• Proficiency with cloud platforms: AWS, GCP, or Azure

• Hands-on coding skills in Python and JavaScript/TypeScript, with familiarity in backend frameworks

• Deep knowledge of API architecture and design patterns

Other Requirements:

• Experience with MLOps tools and AI workflows: model versioning, inference pipelines, model registries, etc.

• Understanding of access control systems: ACLs, RBAC, multi-tenant security and isolation

• Knowledge of billing systems, rate limiting, chargeback models, quota enforcement, and usage metering

• Prior experience working on developer platforms or API products with a strong focus on UX and documentation

Responsibilities:

• Design and build the Menlo API Platform, focusing on high reliability, performance, and a world-class developer experience

• Develop intuitive APIs and SDKs that make it easy for developers to access and integrate multimodal AI capabilities

• Deploy and optimize AI/ML models into scalable, production environments, working closely with research and applied ML teams

• Manage and evolve a modern, cloud-native infrastructure stack, using Kubernetes, Docker, and infrastructure-as-code (IaC) tools

• Ensure platform reliability, including designing and implementing telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery mechanisms

Education Requirements:

• Bachelor's degree

Experience Requirements:

• 5+ years using statically-typed languages (Java/Kotlin/Scala, C/C++, or Rust)

• Experience with GraphQL APIs

• Track record of shipping performant API integrations and interfaces

• Experience with a major cloud provider (GCP, AWS, or Azure)

• Experience architecting, building, and operating cloud-native backend services

Other Requirements:

• Work Authorization Required

• Willing to relocate new hires

• Flexible attitude and entrepreneurial mindset

• Willing to engage outside usual responsibility area

• 5-10% travel within the US and Asia is required

Responsibilities:

• Design testable, scalable, and observable backend services for a global mobile application

• Develop backend service solutions, including cloud infrastructure services selection and setup, monitoring and alerting, and integration with several 3rd-party APIs.

• Work closely with Mobile App developers, 3rd party API developers, and software architects to collaborate on solutions that serve drivers with the best experience

• Troubleshoot production issues, develop and release hotfixes

• Contribute to CI/CD pipeline infrastructure

Benefits:

• Medical insurance

• Dental insurance

• Vision insurance

• 401k

• Unlimited PTO

Experience Requirements:

• Minimum of 5 years of professional experience in software development

• Familiarity with Rust, C/C++, GO, and/or Swift

• Familiarity with Javascript/Typescript, HTML, CSS

• General familiarity with databases, distributed systems, data pipelines/warehouses, networking

Other Requirements:

• Work Authorization Required (US)

• Comfort working in a fast-paced and low process environment.

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience

Experience Requirements:

• Strong Programming

• Experience with AWS

• Experience with Kubernetes

• Experience with Terraform

Other Requirements:

• Work Authorization Required

• Unable to relocate new hires

• Excellent problem-solving skills

• Strong communication skills

Responsibilities:

• Design and manage cloud infrastructure, primarily in AWS, ensuring scalability and reliability.

• Deep expertise in Kubernetes for orchestrating containerized applications.

• Implement CI/CD pipelines and monitoring tools (Grafana, Prometheus, Loki) for optimal performance.

• Proficient in software release management and GitOps, utilizing tools like Terraform, Helm, and Flux.

• Manage databases (Redis, Postgres) and container repositories for seamless integration with our platform.

Benefits:

• A Pod of their own

• Full access to health, vision, and dental insurance

• Flexible PTO

• Commuter benefits

• Paid parental leave

Education Requirements:

• BA/BS in Computer Science, or equivalent experience

Experience Requirements:

• 5+ years of experience shipping high-quality consumer web apps using React

• Expertise in Javascript, TypeScript and Node.js

• End-to-end knowledge of modern web app architecture

• Familiarity with manipulating and processing complex data

Other Requirements:

• Work Authorization Required

• Unable to relocate new hires

• Excited about health and fitness technology

• Desire to make an outsized impact

• Willing to roll up sleeves and use any language/framework

Responsibilities:

• Build and own full stack consumer experiences, from pixel-perfect interfaces to robust, scalable backend infrastructure

• Run experiments and iterate towards a best-in-class ecommerce storefront that accelerates growth and serves as a compelling first touchpoint for our future members.

• Collaborate with product managers, designers, and engineers across the organization to bring our game-changing member experience to the web

• Shape the future of our growing software team by laying the groundwork for new product areas