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Key Responsibilities: - Developing and maintaining both front-end and back-end components: This includes writing code in various programming languages, designing user interfaces, and creating server-side logic. - Collaborating with cross-functional teams: Working with product managers, designers, and other engineers to define requirements, design features, and ship new products. - Ensuring the technical feasibility of UI/UX designs: Understanding how to implement designs effectively and ensure they perform well. - Writing clean, maintainable, and efficient code: Following coding standards and best practices to create code that is easy to understand, debug, and modify. - Optimizing applications for speed and scalability: Tuning code and infrastructure to ensure the application can handle a large volume of traffic and perform well. - Troubleshooting, debugging, and upgrading existing software: Identifying and resolving issues in existing software and ensuring it is kept up-to-date with the latest technologies. - 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Here is a generic summary. Instead of a perfect job description, we present talented individuals to companies and allow them to share how that talent fits in the organization. Product Engineer bridging the gap between product vision and technical implementation, working closely with engineering, product, and design teams to develop and refine products. This role often involves hands-on technical work, including development, testing, and troubleshooting, as well as contributing to product strategy and roadmaps. 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Here is a generic summary. Instead of a perfect job description, we present talented individuals to companies and allow them to share how that talent fits in the organization. A Back-end Developer is a software developer specializing in server-side logic, databases, and application infrastructure, responsible for ensuring the efficient and secure functioning of web applications and systems. They build and maintain the server-side code that powers the application, often interacting with databases, APIs, and other web services. 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Support Mexico - Remote | Remote ABOUT THE ROLE: We are seeking a dedicated Systems Engineer to join our team. In this role, you will provide critical support for our Brokerage business Support Ecosystem including: Front (focus), Zendesk, Genesys Cloud, Custom Applications, and integrations. You will be the first point of contact for users experiencing issues, ensuring prompt resolution and minimal disruption to business operations and systems performance. WHAT THE CANDIDATE WILL DO: Issue Resolution: Diagnose and resolve technical issues, from user issues to system issues like failing python scripts or integrations. Systems Engineering: Develop & maintain automation and integration in Front, Zendesk and other applications using internal tooling along with SQL and Python, ensuring robust performance and reliability. User Support: Serve as the primary contact for support inquiries related to our Support Ecosystem. Ticket Management: Log all support requests in the ticketing system, ensuring accurate documentation of issues and resolutions. Escalation: Identify and escalate complex issues appropriate teams, following established protocols. Communication: Maintain clear and professional communication with users throughout the support process. Knowledge Base Contribution: Update and maintain support documentation and FAQs to assist users with common issues. Collaboration: Work closely with cross-functional teams to address recurring issues and improve system functionality. BASIC QUALIFICATIONS Technical Skills: Intermediate knowledge of SQL, Python, or Automation and Scripting Skills. Experience: 3+ years of experience in a technical support role, preferably supporting enterprise applications. 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Here is a generic summary. Instead of a perfect job description, we present talented individuals to companies and allow them to share how that talent fits in the organization. Key Responsibilities: - Model Development: Designing and implementing ML algorithms and models, including deep learning models. - Data Handling: Preprocessing, analyzing, and preparing large datasets for model training and evaluation. - System Integration: Collaborating with software engineers to integrate ML models into production systems. - Performance Optimization: Continuously improving and optimizing ML models for accuracy, efficiency, and scalability. - Monitoring and Maintenance: Monitoring model performance in production, troubleshooting issues, and ensuring model reliability. - Staying Updated: Keeping abreast of the latest advancements in ML, AI, and related technologies. - Collaboration: Working with data scientists, software engineers, and other stakeholders to deliver effective ML solutions. Essential Skills: - Programming Languages: Strong proficiency in Python, R, or other relevant languages. - ML Frameworks: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn. - Data Science Fundamentals: Solid understanding of statistical analysis, data modeling, and machine learning algorithms. - Problem-Solving: Excellent analytical and problem-solving skills to address complex challenges. - Communication: Effective communication skills to convey technical information to both technical and non-technical audiences. - Collaboration: Ability to work effectively in a team environment. 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Research Scientist at Lightyear AI Inc - San Francisco | Hybrid | Remote - Research Scientist San Francisco | Hybrid | Remote Research Scientist / Machine Learning Scientist Location: SF Bay Area/Hybrid / Remote Type: Full-Time About the Role: The Client is seeking a variety of Machine Learning Scientist to help advance how we evaluate and understand AI models. You'll help design and analyze experiments that uncover what makes models useful, trustworthy and capable through human preference signals. Your work will contribute to the scientific foundations of understanding AI at scale. This role is deeply interdisciplinary. You'll work closely with engineers, product teams, marketing and the broader research community to develop new methods for comparing models, analyzing preference data, and disentangling performance factors like style, reasoning, and robustness. Your work will inform both the public leaderboard and the tools we provide to model developers. If you're excited by open-ended questions, rigorous evaluation, and research that's grounded in real-world impact, you'll find a meaningful home here. We're looking for: • Hands-on experience training large-scale models, including reward models, preference models, and fine-tuning LLMs with methods like RLHF, DPO, and contrastive learning. • Strong foundation in ML and statistics, with a track record of designing novel training objectives, evaluation schemes, or statistical frameworks to improve model reliability and alignment. • Fluent in the full experimental stack, from dataset design and large-batch training to rigorous evaluation and ablation, with an eye for what scales to production. • Deeply collaborative mindset, working closely with engineers to productionize research insights and iterating with product teams to align modeling goals

", "datePosted": "2026-06-12T17:37:43.000Z", "employmentType": "FULL_TIME", "identifier": { "@type": "PropertyValue", "name": "Lightyear AI Inc", "value": "cdfc2dc2def7f15a52faf30f5a0b7b01" }, "hiringOrganization": { "@type": "Organization", "name": "Lightyear AI Inc" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/lightyear-ai/research-scientist-cdfc2dc2" } }, { "@type": "ListItem", "position": 2, "url": "https://fewerjobs.com/jobs/lightyear-ai/affiliate-account-manager-ad32cdbc", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Affiliate Account Manager", "description": "

Affiliate Account Manager at Lightyear AI Inc - New York | OnSite - Affiliate Account Manager New York | OnSite 📍New York City, New York (Hybrid) About You: As an Affiliate Account Manager, you thrive on finding the perfect balance between client satisfaction and team success. Your approach is strategic and analytical, and you've garnered valuable experience in affiliate and/or influencer marketing, both in agency and brand settings. You're a self-starter who navigates ambiguity with ease, always ready to deliver data-driven business solutions to both clients and your team. Your appetite for growth and challenges is insatiable, and you're adept at championing this mindset within your team. Some of the duties will include and are definitely not limited to: - Managing, negotiating, developing, and nurturing affiliate partners for a diverse client portfolio. - Pulling weekly and monthly reports to evaluate performance, partner activity, and areas for optimization, presenting findings to clients. - Crafting strategies to enhance performance through commission structure testing, dynamic attribution, and cross-channel analysis. - Ensuring efficient workflow and processes, adjusting as needed for optimal productivity. - Handling day-to-day tasks within the affiliate network. Qualifications: - 2-3 years of Affiliate Marketing experience - Bachelor's Degree or equivalent work experience - Experience distilling client goals into specific tasks that are prioritized, executed, and measured - Excited and comfortable working with established brands - Ability to work effectively as part of a team and independently - Experience with affiliate networks like Impact, Pepperjam or ShareASale and reporting dashboard, Affluent - Exposure to different verticals / business models such as subscription, retail, B2B, CPG,

", "datePosted": "2026-06-12T17:37:43.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Lightyear AI Inc", "value": "ad32cdbc834da264b12041729b717da1" }, "hiringOrganization": { "@type": "Organization", "name": "Lightyear AI Inc" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 24 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/lightyear-ai/affiliate-account-manager-ad32cdbc" } }, { "@type": "ListItem", "position": 3, "url": "https://fewerjobs.com/jobs/lightyear-ai/paid-media-manager-9766100e", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Paid Media Manager", "description": "

Paid Media Manager at Lightyear AI Inc - New York | OnSite - Paid Media Manager New York | OnSite 📍Long Island City, New York (Hybrid) About the Role As a Paid Media Manager, you will work closely with our cross-functional strategists, overseeing campaigns across various channels with a strong focus on performance marketing across search (SEM), social, and programmatic. You'll ensure the successful execution of integrated digital marketing initiatives, with hands-on involvement in both Google Ads and Meta campaigns. Your exceptional communication and people management skills will be essential in fostering strong relationships with our clients and guiding our team of strategists toward continued growth and success. Responsibilities include but are not limited to: - Manage and mentor a team of one to two cross-functional digital marketing buyers or strategists. - Lead the planning, execution, and optimization of SEM campaigns (Google Search, Shopping, and YouTube Ads) as well as paid social campaigns (Meta:Facebook/Instagram, TikTok, etc.). - Oversee integrated digital marketing campaigns across multiple channels (search, social, display, programmatic), ensuring performance aligns with client objectives. - Proactively dive into platforms to understand the day-to-day details, driving measurable campaign success. - Develop and maintain strong client relationships, ensuring business goals are met and exceeded. - Collaborate with internal teams and global teammates, including North America, to align on cross-regional media strategy. - Analyze SEM and cross-channel campaign performance data, providing actionable insights to improve efficiency and effectiveness. - Continuously refine and improve internal processes to drive team efficiency and performance. - Stay current on the latest SEM and digital marketing trends, tools, and best

", "datePosted": "2026-06-12T17:37:43.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Lightyear AI Inc", "value": "9766100e247a31b9a21a0e25d68cc84d" }, "hiringOrganization": { "@type": "Organization", "name": "Lightyear AI Inc" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/lightyear-ai/paid-media-manager-9766100e" } }, { "@type": "ListItem", "position": 4, "url": "https://fewerjobs.com/jobs/lightyear-ai/senior-staff-principal-frontend-engineer-8501a846", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior · Staff · Principal Frontend Engineer", "description": "

Senior · Staff · Principal Frontend Engineer at Lightyear AI Inc - San Francisco | OnSite - Senior · Staff · Principal Frontend Engineer San Francisco | OnSite Senior / Staff / Principal Frontend Engineer Location: Onsite San Francisco We have multiple startups interested in talent. Here is a generic summary. Instead of a perfect job description, we present talented individuals to companies and allow them to share how that talent fits in the organization. A Front-End Developer is responsible for building the user-facing parts of websites and web applications, ensuring a seamless and visually appealing user experience. They translate designs into functional code using HTML, CSS, and JavaScript, and may also utilize frameworks and libraries. Key Responsibilities: • Develop and implement user interfaces: Front-end developers create the visual elements of websites and applications that users see and interact with. • Translate designs into code: They take design mockups and wireframes and translate them into functional code using HTML, CSS, and JavaScript. • Build interactive elements: They create interactive features and animations to enhance the user experience. • Ensure cross-browser compatibility: They make sure the website or application functions correctly across different web browsers and devices. • Optimize page load times: They optimize code for speed and efficiency, ensuring a fast and smooth user experience. • Collaborate with back-end developers: They work closely with back-end developers to integrate the front-end with server-side logic and databases. • Maintain and update existing websites and applications: They may be responsible for fixing bugs, implementing new features, and maintaining existing code. • Follow industry best practices: They stay up-to-date on the

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Senior · Staff · Principal Fullstack Engineer at Lightyear AI Inc - San Francisco | Hybrid | Remote - Senior · Staff · Principal Fullstack Engineer San Francisco | Hybrid | Remote Senior / Staff / Principal Fullstack Engineer Location: Onsite San Francisco (5 days onsite AND hybrid options) We have multiple startups interested in talent. Here is a generic summary. Instead of a perfect job description, we present talented individuals to companies and allow them to share how that talent fits in the organization. Key Responsibilities: - Developing and maintaining both front-end and back-end components: This includes writing code in various programming languages, designing user interfaces, and creating server-side logic. - Collaborating with cross-functional teams: Working with product managers, designers, and other engineers to define requirements, design features, and ship new products. - Ensuring the technical feasibility of UI/UX designs: Understanding how to implement designs effectively and ensure they perform well. - Writing clean, maintainable, and efficient code: Following coding standards and best practices to create code that is easy to understand, debug, and modify. - Optimizing applications for speed and scalability: Tuning code and infrastructure to ensure the application can handle a large volume of traffic and perform well. - Troubleshooting, debugging, and upgrading existing software: Identifying and resolving issues in existing software and ensuring it is kept up-to-date with the latest technologies. - Implementing secure coding practices: Protecting data and ensuring the application is resistant to vulnerabilities. - Participating in code reviews: Providing constructive feedback on the code of other developers and ensuring code quality. - Creating and maintaining software documentation: Documenting the application's architecture, code,

", "datePosted": "2026-06-12T17:37:43.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Lightyear AI Inc", "value": "74ab6485e9c3c7964dd95ec7371985aa" }, "hiringOrganization": { "@type": "Organization", "name": "Lightyear AI Inc" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 96 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/lightyear-ai/senior-staff-principal-fullstack-engineer-74ab6485" } }, { "@type": "ListItem", "position": 6, "url": "https://fewerjobs.com/jobs/lightyear-ai/product-engineer-6e2c07d2", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Product Engineer", "description": "

Product Engineer at Lightyear AI Inc - San Francisco | Hybrid | Remote - Product Engineer San Francisco | Hybrid | Remote Product Engineer Location: Onsite San Francisco (5 days onsite AND hybrid options) We have multiple startups interested in talent. Here is a generic summary. Instead of a perfect job description, we present talented individuals to companies and allow them to share how that talent fits in the organization. Product Engineer bridging the gap between product vision and technical implementation, working closely with engineering, product, and design teams to develop and refine products. This role often involves hands-on technical work, including development, testing, and troubleshooting, as well as contributing to product strategy and roadmaps. Key Responsibilities: - Product Development & Implementation: Developing new features, enhancing system performance, and streamlining workflows, potentially involving machine learning, data pipelines, or cloud infrastructure. - Technical Expertise & Problem-Solving: Providing technical guidance, troubleshooting issues, and conducting design reviews. - Cross-Functional Collaboration: Working closely with product managers, designers, and other engineering teams to ensure alignment and successful product launches. - Product Strategy & Roadmap: Contributing to product strategy, defining technical requirements, and shaping the product roadmap based on customer needs and technical feasibility. - Continuous Improvement: Identifying areas for improvement, optimizing processes, and ensuring product quality and scalability. Skills and Experience: - Strong understanding of software engineering principles, potentially with experience in specific technologies like cloud computing, machine learning, or data analysis. - Ability to troubleshoot technical issues, analyze data, and develop effective solutions. - Excellent communication and interpersonal

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Senior · Staff · Principal Backend Engineer at Lightyear AI Inc - San Francisco | Hybrid | Remote - Senior · Staff · Principal Backend Engineer San Francisco | Hybrid | Remote Senior / Staff / Principal Backend Engineer Location: Onsite San Francisco We have multiple startups interested in talent. Here is a generic summary. Instead of a perfect job description, we present talented individuals to companies and allow them to share how that talent fits in the organization. A Back-end Developer is a software developer specializing in server-side logic, databases, and application infrastructure, responsible for ensuring the efficient and secure functioning of web applications and systems. They build and maintain the server-side code that powers the application, often interacting with databases, APIs, and other web services. Key Responsibilities: • Server-Side Logic: Develop and maintain the code that runs on the server, handling user requests, processing data, and managing application logic. • Database Management: Design, implement, and manage databases, ensuring data integrity, security, and performance. • API Development: Create and maintain Application Programming Interfaces (APIs) for seamless communication between the front-end and back-end components. • Performance Optimization: Optimize code for speed, efficiency, and scalability, ensuring the application can handle large loads and user traffic. • Security: Implement security measures to protect the application and user data from unauthorized access and breaches. • Collaboration: Work with front-end developers, product managers, and other stakeholders to ensure a cohesive user experience. • Troubleshooting and Debugging: Identify and resolve issues in the back-end code, ensuring the application functions correctly. • Staying Up-to-Date: Keep abreast of emerging technologies and industry trends to enhance the

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Business Systems Engineer II - Support at Lightyear AI Inc - Mexico - Remote | Remote - Business Systems Engineer II - Support Mexico - Remote | Remote ABOUT THE ROLE: We are seeking a dedicated Systems Engineer to join our team. In this role, you will provide critical support for our Brokerage business Support Ecosystem including: Front (focus), Zendesk, Genesys Cloud, Custom Applications, and integrations. You will be the first point of contact for users experiencing issues, ensuring prompt resolution and minimal disruption to business operations and systems performance. WHAT THE CANDIDATE WILL DO: Issue Resolution: Diagnose and resolve technical issues, from user issues to system issues like failing python scripts or integrations. Systems Engineering: Develop & maintain automation and integration in Front, Zendesk and other applications using internal tooling along with SQL and Python, ensuring robust performance and reliability. User Support: Serve as the primary contact for support inquiries related to our Support Ecosystem. Ticket Management: Log all support requests in the ticketing system, ensuring accurate documentation of issues and resolutions. Escalation: Identify and escalate complex issues appropriate teams, following established protocols. Communication: Maintain clear and professional communication with users throughout the support process. Knowledge Base Contribution: Update and maintain support documentation and FAQs to assist users with common issues. Collaboration: Work closely with cross-functional teams to address recurring issues and improve system functionality. BASIC QUALIFICATIONS Technical Skills: Intermediate knowledge of SQL, Python, or Automation and Scripting Skills. Experience: 3+ years of experience in a technical support role, preferably supporting enterprise applications. Customer Service: Excellent interpersonal and communication skills with a strong focus on customer

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Senior · Staff · Principal Machine Learning Engineer at Lightyear AI Inc - San Francisco | Hybrid | Remote - Senior · Staff · Principal Machine Learning Engineer San Francisco | Hybrid | Remote Senior / Staff / Principal Machine Learning Engineer Location: Onsite San Francisco (5 days onsite AND hybrid options) We have multiple startups interested in talent. Here is a generic summary. Instead of a perfect job description, we present talented individuals to companies and allow them to share how that talent fits in the organization. Key Responsibilities: - Model Development: Designing and implementing ML algorithms and models, including deep learning models. - Data Handling: Preprocessing, analyzing, and preparing large datasets for model training and evaluation. - System Integration: Collaborating with software engineers to integrate ML models into production systems. - Performance Optimization: Continuously improving and optimizing ML models for accuracy, efficiency, and scalability. - Monitoring and Maintenance: Monitoring model performance in production, troubleshooting issues, and ensuring model reliability. - Staying Updated: Keeping abreast of the latest advancements in ML, AI, and related technologies. - Collaboration: Working with data scientists, software engineers, and other stakeholders to deliver effective ML solutions. Essential Skills: - Programming Languages: Strong proficiency in Python, R, or other relevant languages. - ML Frameworks: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn. - Data Science Fundamentals: Solid understanding of statistical analysis, data modeling, and machine learning algorithms. - Problem-Solving: Excellent analytical and problem-solving skills to address complex challenges. - Communication: Effective communication skills to convey technical information to both technical and non-technical audiences. - Collaboration: Ability to work effectively in a team environment. Education and

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