About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role As a Senior Staff Software Engineer on the Marketing Technology team, you will spearhead the architectural evolution of Gusto’s new MarTech stack as we transition to an AI-native company.  This is a frontend leaning architecture role where you will be instrumental in designing and building the foundational web platforms that connect our customer data with our communication channels. Your work will focus on transforming our Headless CMS from a content repository into an AI-driven personalization engine, architecting the high-performance frontend systems that can reason about customer data, predict user intent, and serve the most relevant experience. You will design how these platforms intelligently integrate with our central CDP and multi-channel Orchestration engine, turning backend insights into adaptive, personalized user journeys. You’ll operate at the intersection of marketing systems, AI capabilities, and platform evolution. If you are passionate about building highly reliable, frontend-focused systems that can reason, predict, and personalize to unlock Gusto’s next phase of sustainable growth, we would love to have you join our team. About the Team The Marketing Technology (MarTech) team is building the next generation of infrastructure that powers customer acquisition and engagement funnels. Our mission is to move beyond deterministic user journeys and build intelligent growth systems. We’re building a world-class technology platform designed to understand customer intent, tailor experiences in real-time, and continuously improve through data and feedback. This means shifting from static tools to an adaptive platform that ensures a seamless, personalized, and performant experience for prospects and customers. We prioritize quality, observability, and uptime because these intelligent systems are fundamental to Gusto's growth and brand. We partner closely with Marketing, Sales, Growth R&D, and Operations to build and connect the AI-powered tools they use every day. Here’s what you’ll do day-to-day: Architect and evolve our customer-facing web platforms not just for performance and scale, but for AI-driven personalization and intelligent experimentation. Build and maintain integrations with our MarTech stack (Segment, Braze, etc.) to create feedback loops for AI models and enable model-driven actions. Implement and optimize caching strategies across our delivery stack (CDN, edge). Write high-quality, well-tested frontend code leveraging AI-powered tools and techniques to accelerate development, improve test generation, and ensure code reliability. Support, mentor, and up-level fellow engineers on the team, helping to establish best practices for AI-native design patterns. Partner cross-functionally  with Marketing and Sales to translate business needs into technical solutions. Be an owner of the long-term technical roadmap for MarTech, ensuring it aligns with Gusto’s transition to an AI-native company. Here’s what we're looking for: 12+ years of experience building web systems connected to a headless CMS. Curiosity and ability to operate in an AI-native environment. Integrating intelligence, automation, and experimentation into how we grow the business. Experience building modern frontend applications with technologies such as React, Typescript, and Next.js. Experience with web performance, CDNs, and advanced caching strategies. Experience integrating with MarTech systems (e.g., CDPs, CRMs, orchestration tools). A systems thinker with excellent written communication and collaboration skills. Ability to act as a thought partner for both technical (Engineering, AI/Data) and business (Marketing, Sales) teams. A balance of pragmatic execution for immediate business needs and long-term architectural thinking to build a scalable, intelligent platform. Nice to have: Hands-on experience designing or implementing product experiences incorporating ML/AI, such as AI-driven personalization engines, recommendation systems, or predictive intent models. Experience with generative AI or LLMs, particularly in applications related to content personalization (for a CMS) or building intelligent customer-facing agents. Familiarity with building the frontend components of data feedback loops used for retraining or fine-tuning AI models. Compensation Our cash compensation amount for this role is targeted at $225,000 - $275,000  for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $185,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Software Engineer at Obsidian, you’ll work on challenging projects across diverse domains—fintech, blockchain, AI, data science, and more. You’ll collaborate with a fully remote, distributed team of experts to design and build software systems that are robust, scalable, and impactful. - Designing and developing new applications and systems - Writing clean, testable, and well-documented code - Participating in thoughtful code reviews and architecture discussions - Debugging, optimizing, and improving existing systems - Contributing to testing, CI/CD, and deployment processes - Exploring new technologies and applying them to real-world problems Qualifications - 3+ years of professional software engineering experience - Hands-on experience in one or more of the following domains: fintech, blockchain, AI, data science, open-source, enterprise software - Documented experience in functional programming (strong preference for Haskell and/or Rust and/or the Nix Ecosystem) - A solid grasp of system design and architecture principles - Experience collaborating on distributed, fully remote teams - Strong written and verbal communication skills across time zones - Contributions to open-source functional programming projects Benefits - A strong generalist culture, where employees are expected to study and improve themselves in skills that were initially weaker when they joined - Global flexibility – work fully remote from anywhere (except U.S. restricted/embargoed countries) - Impactful work – your contributions won’t be lost in layers of management; you’ll directly shape products and solutions - Innovative tech – work at the frontier of functional programming, AI, blockchain, and beyond - Supportive culture – join a team that values rigor, learning, and collaboration over ego

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The R&D Engineering Intern – RTM will contribute directly to Inogen’s next-generation Remote Therapeutic Monitoring (RTM) ecosystem by building data-driven insights, prototype app features, and analytics tools that support Inogen’s respiratory products. This role is hands-on and tactical, and ideal for students who want to apply data science and digital health design skills in a real medical device environment. Key Responsibilities & Tactical Deliverables - Patient-Facing App Prototyping - Assist in creating low-fidelity wireframes for an RTM mobile app (usage tracking, symptom entry, reminders, progress screens). - Deliverable: A clickable prototype (Figma or similar) showing at least three user flows. - Prototype simple rule-based digital nudges (e.g., reminders triggered when usage is low or symptoms worsen). - Deliverable: A logic map and sample message library for patient engagement. - Connected Care Model Mapping - Map the end-to-end digital patient journey for RTM: device activation ? data ? patient-reported outcomes (PROs) ? provider dashboards. - Deliverable: A visual, single-slide workflow showing data touchpoints and RTM billing considerations. - RTM / RPM Metric Design - Define the minimum set of patient-reported outcomes (PROs) for COPD and bronchiectasis RTM. - Deliverable: A PRO list with a proposed scoring rubric for Inogen’s digital health platform. - Propose adherence and response KPIs for internal dashboards (e.g., adherence percentage, symptom stability, session variability). - Deliverable: A dashboard mockup in Power BI, Tableau, or Figma. Qualifications - Pursuing a Bachelor’s or Master’s degree in: - Data Science - Computer Science - Biomedical Engineering - Health Informatics - Public Health - Or related fields - Experience (Academic or Project-Based): - Python (pandas, NumPy, matplotlib, seaborn) - Basic UI/UX prototyping tools (Figma, Sketch, etc.) - Data visualization and analytics - Interest in digital health, respiratory care, medical devices, or patient-centered design - Strong writing and communication skills What the Intern Will Gain - Practical experience applying data science to real-world medical device telemetry - Exposure to RTM/RPM workflows, clinical pathways, and patient-reported outcomes - Experience creating prototype digital health application flows - Understanding of how digital tools integrate with respiratory therapy (POCs, SOCs, Simeox, and future sensors) - A portfolio of code notebooks, prototypes, dashboards, and technical briefs suitable for resumes, graduate school applications, or industry roles - Direct collaboration with R&D, Product, Clinical, and Digital Health teams within a regulated medical device environment Compensation Inogen assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $21.19 and $23.37 per hour. However, actual base salary if hired will be determined on an individualized basis and will be based on non-discriminatory factors, including individual skills, education, experience, and market location. Equal Employment Opportunity Inogen is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

• Supports the Farmers Finance Platform on SAP S/4, BW/4HANA and SAP Datasphere. • Provide BAU support and troubleshooting for existing customizations and technical issues. • Meet with business stakeholders, gather requirements, design a solution and estimate, build, test, support UAT and deliver to production. • Have an awareness of various SAP development life cycle tools. • Collaborate with other subject matter areas of the platform as needed (Security, Master Data, Basis, Finance Functional, PaPM, ETL, Reporting). • Support business users with use of custom applications and configuration. • Is responsible for the conceptual design of business applications. • Performs impact analysis of application changes across various components, holding an end-to-end view of the system. • Specifies / Recommends Integration and Parallel testing criteria. • Understands customers’ processes and products and how they fit within the goals of the business unit. • Reviews and validates the detailed technical design for business applications provided by the supplier to ensure alignment with business requirements; Validates suppliers estimates. • Estimates Rough Order of Magnitude for the level of effort/cost of new application functionality. • Performs quality review checks on project deliverables.