Вакансии

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity You will be responsible for product planning and solution design for an enterprise-grade AI Native engineering platform, driving the deep integration of AI Agents, AI Coding, knowledge capabilities, and engineering platform systems. The goal is to build an intelligent product system covering requirement analysis, solution design, development collaboration, testing validation, environment orchestration, and knowledge accumulation.This role serves complex engineering processes and multi-role collaboration scenarios. You are expected to design AI product capabilities that can be embedded into workflows, measured for impact, and continuously evolved in real enterprise environments, enabling the product to scale from pilot adoption to broad organizational rollout. What You’ll Be Doing Lead the product planning, requirement analysis, and solution design of the AI Native engineering platform, and drive continuous product evolution and adoption. Develop a deep understanding of the end-to-end engineering lifecycle, and translate the core scenarios and collaboration patterns of product, design, engineering, QA, and operations teams into structured product solutions. Design AI Agent capabilities for engineering scenarios , including requirement analysis, solution generation, coding collaboration, test generation, environment orchestration, and knowledge accumulation. Drive the integration of AI capabilities with code repositories, CI/CD pipelines, testing platforms, deployment environments, and knowledge platforms to deliver a unified end-to-end product experience. Establish mechanisms for product effectiveness evaluation, user feedback, and continuous optimization , and support the product’s scale-up from pilot validation to broad adoption. What We Look For In You Bachelor’s degree or above , preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields. 6+ years of experience in ToB products, platform products, or intelligent product solutions. Must have an engineering background , such as software development, test development, architecture, or technical product roles, with the ability to work effectively with engineering teams. Strong understanding of DevOps , engineering productivity, software delivery processes, and quality systems , with the ability to abstract and productize complex workflows. Solid understanding of AI Agent product design , with the ability to design for task execution, workflow orchestration, result validation, and delivery closure. Familiarity with mainstream AI coding products, with strong hands-on experience or product understanding of Claude Code , Codex, Cursor , and Copilot , as well as context engineering, knowledge input, tool integration, human-in-the-loop collaboration, and governance considerations. Strong structured thinking, cross-functional collaboration, and execution skills; experience with engineering platforms, DevOps platforms, platform products, or intelligent products is a plus. Nice to Haves Experience with products related to AI Agents, RAG, knowledge graphs, Copilot, or intelligent workflows . Experience building engineering platforms, DevOps platforms, or platform products from 0 to 1 or from 1 to N. Hybrid background of engineering-to-product transition , or contributions to open source, communities, or public thought leadership in AI or engineering productivity. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity You will be responsible for the core architecture design and technical delivery of an enterprise-grade AI Native engineering platform, driving the deep integration of large language models, AI Agents, knowledge capabilities, and the software development lifecycle. The platform will support intelligent capabilities across requirement analysis, solution generation, coding collaboration, test automation, and environment orchestration.This role focuses on engineering-grade AI implementation in complex R&D scenarios. You are expected to turn model capabilities into reusable, scalable, and governable platform capabilities, and continuously drive the evolution of the engineering platform toward an AI Native architecture. What You’ll Be Doing Lead the overall architecture design and core capability development of the AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration. Drive the implementation of AI Native capabilities in engineering workflows , including AI coding, technical solution generation, test case generation, test report generation, and automated environment deployment. Build the knowledge augmentation layer for the platform, including the design, integration, and application of RAG, GraphRAG, and knowledge graph capabilities. Establish the runtime and governance framework for AI Agents, including execution isolation, permission control, auditability, evaluation, stability, and cost governance. Collaborate with product, engineering, QA, and operations teams to standardize, productionize, and scale platform capabilities, continuously improving engineering efficiency and delivery quality. What We Look For In You Bachelor’s degree or above , preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields. 6+ years of experience in backend engineering, platform engineering, or infrastructure engineering, with strong system design and delivery capabilities. Proficient in Java / Python , with solid coding skills, architectural thinking, and experience building complex systems. Strong understanding of LLM and AI Agent architectures , including task decomposition, tool use, context management, memory, execution loops, and exception handling. Hands-on experience with LangChain and LangGraph , and strong familiarity with mainstream AI coding tools or frameworks such as Claude Code , Codex, Cursor , and Copilot . Experience in designing or developing RAG / GraphRAG / knowledge graph solutions for enterprise knowledge augmentation and engineering use cases. Good understanding of DevOps , CI/CD , Kubernetes , and cloud-native technologies , with strong cross-functional collaboration and execution skills. Nice to Haves Experience contributing to open-source projects related to AI Agents, AI Coding, RAG, or knowledge graphs. Experience building enterprise engineering platforms, DevOps platforms, or AI platforms . Familiarity with open-source Agent projects such as openclaw, openhands/openharness, or Hermes . Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Cairo, Egypt Müller’s Solutions is seeking an experienced Power BI Consultant to join our team. In this role, you will be responsible for designing, developing, and delivering Power BI solutions that enable data-driven decision-making across the organization. You will work closely with business stakeholders to understand their needs and translate them into effective, insightful reports and dashboards. Your expertise will ensure the efficient deployment and adoption of Power BI, driving business intelligence initiatives. Responsibilities: Design, build, and deploy Power BI reports and dashboards tailored to business user requirements. Collaborate with stakeholders to gather requirements and provide BI solutions that align with business goals. Develop and optimize data models and queries to ensure high performance and accuracy. Implement best practices for data governance, data quality, and security within Power BI projects. Provide training, support, and documentation to end-users and team members. Maintain and update existing Power BI reports and solutions to adapt to changing business needs. Stay current with the latest Power BI features, tools, and industry trends to continuously improve BI capabilities. Work closely with IT and data teams to integrate Power BI with various data sources. Requirements 3 to 5 years of practical experience in creating Power BI reports and dashboards. Advanced skills in DAX and Power Query (M Language) . Extensive experience in data modeling and combining data from various sources. Good knowledge of data visualization best practices . Experience in publishing, managing, and maintaining reports within the Power BI Service . Capability to analyze business requirements and convert them into technical solutions. Strong communication abilities and experience collaborating with cross-functional teams. Bachelor’s degree in Computer Science, Information Technology, or a related discipline. Demonstrated experience as a Power BI Consultant or Developer with a robust portfolio of Power BI projects. In-depth knowledge of Power BI Desktop, Power BI Service, DAX, Power Query, and data modeling. Hands-on experience with SQL and integrating Power BI with diverse data sources. Awareness of data governance, data quality, and security best practices. Excellent communication and interpersonal skills for working effectively with both technical and non-technical stakeholders. Strong analytical and problem-solving skills to transform business needs into efficient BI solutions. Ability to handle multiple projects simultaneously and meet deadlines in a fast-paced environment. Familiarity with other BI tools and analytics platforms is advantageous. Preferred Qualifications: Microsoft certification such as PL-300 (Power BI Data Analyst) or equivalent. Experience working in enterprise environments. Familiarity with SQL and other data platforms is a plus. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Argentina; Colombia; Mexico; Honduras; Brazil We are hiring a high-caliber Executive Assistant to work directly with a Principal in a fast-growing real estate investment and development company . This is not a traditional administrative role . It is designed as a stepping stone into an Operations Associate / Operations Manager path , with direct exposure to acquisitions, capital raising, construction, leasing, and asset management. You will play a key role in building structure, improving execution, and helping scale the business. Key Responsibilities Principal Productivity & Execution Run weekly time reviews and generate actionable summaries Track performance against an “ideal day” structure and identify gaps Review dashboards (Asana, time tracking) to surface priorities Send daily priority updates (tasks, decisions, follow-ups) Apply clear frameworks for prioritization, delegation, and scheduling Inbox, Calendar & Follow-Ups Manage calendar, meetings, and confirmations Maintain daily inbox organization (prioritize, delegate, clean) Track follow-ups and ensure nothing falls through the cracks Maintain and act on “waiting on others” lists Operations & Business Support Keep Google Drive and internal documentation structured and updated Maintain CRM hygiene (HubSpot) and investor follow-ups Support reporting, KPI tracking, and dashboard updates Assist with vendor coordination and project tracking Support property management workflows and leasing coordination Systems & Process Optimization Build and refine SOPs across operations (leasing, investor communication, onboarding, etc.) Maintain clear and usable documentation (Google Docs, Loom, checklists) Improve cross-team workflows (acquisitions → rehab → lease-up) Identify and implement simple system improvements and integrations Personal Support (Light) Track and review personal budget and expenses Support scheduling of personal and family activities Requirements 5–7 years of experience in EA, Operations, Chief of Staff, or similar roles Experience in real estate, PropTech, FinTech, or adjacent industries is highly preferred Proven experience building or improving systems and SOPs Strong ownership mindset with the ability to drive execution independently Excellent organization and attention to detail Strong written communication and documentation skills Proficiency with Google Workspace, Asana (or similar), and CRMs (HubSpot preferred) Comfortable blending business and personal executive support Availability during Pacific / Mountain Time working hours Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: Warsaw, Poland; Kraków, Poland; Wrocław, Poland; Budapest, Hungary Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Prague, Czechia; Brno, Czechia; Amsterdam, Netherlands; Eindhoven, Netherlands; Utrecht, Netherlands Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Lisbon, Portugal; Porto, Portugal; London, United Kingdom; Cambridge, United Kingdom; Manchester, United Kingdom Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Brussels, Belgium; Antwerp, Belgium; Munich, Germany; Berlin, Germany Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Barcelona, Spain; Madrid, Spain; Málaga, Spain; Milan, Italy; Rome, Italy Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Pakistan; India; Brazil; Mexico; United Kingdom About Huzzle At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We’re hiring a Founding Engineer (Fullstack) to help take the product from zero to launch and beyond to product-market fit. This is a rare opportunity to work side-by-side with the founding team and play a defining role in shaping both the product and the company. You’ll be responsible for building core systems, crafting exceptional user experiences, and driving technical decisions across the stack. This role is ideal for a highly intelligent, pragmatic builder who thrives in early-stage environments and has a track record of shipping complex, user-facing applications. Key Responsibilities Own end-to-end development of core product features across the fullstack, with a strong focus on frontend UX and performance. Collaborate closely with the founder, product designer, and early users to iterate rapidly and deliver exceptional user experiences. Design, build, and maintain scalable backend systems, including PostgreSQL schemas and Row-Level Security (RLS) via Supabase. Develop and manage edge APIs, backend services, and workers to support real-time, high-performance applications. Translate complex product concepts into intuitive, elegant, and user-friendly interfaces. Make foundational architecture and infrastructure decisions that balance speed, scalability, and reliability. Build and optimize systems to support product growth from early launch through scale. Integrate and interact with smart contracts and blockchain infrastructure. Own and maintain blockchain indexing systems to power real-time product functionality. Develop modern authentication and digital asset experiences using technologies like WebAuthn. Partner with fintech and infrastructure providers to deliver secure and scalable solutions. Contribute to product strategy, experimentation, and iteration to help achieve product-market fit. Establish and uphold strong engineering practices, performance standards, and a security-first mindset. Requirements Exceptional intellectual ability and curiosity, with a strong academic background (e.g. Computer Science, Mathematics, Physics, Electrical Engineering) or equivalent experience. 5+ years of software engineering experience, including at least 1 year at a senior level with high ownership. Strong proficiency in TypeScript and React for building production-grade frontend applications. Backend and systems experience; familiarity with Go or low-level/system design is a strong plus. Extensive experience with PostgreSQL and scalable data architecture. Proven track record of building and shipping complex user-facing products (e.g. social platforms, marketplaces, trading systems). Strong interest in finance, blockchain/Web3, consumer apps, user psychology, and AI/LLMs. A strong security-first mindset, with attention to data integrity and system resilience. Ability to move fast, make pragmatic decisions, and thrive in ambiguity. Strong communication skills and a collaborative, founder-level mindset. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: San Francisco; Palo Alto Workplace: Hybrid Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search systems, datasets, and models work together to create the best possible experience for our users. As our product and agent capabilities evolve, we need evaluation systems that are fast, reliable, production-faithful, and actionable. In this role, you will build and improve the technical foundations that support Answer Quality across Perplexity. This includes our shared evaluation infrastructure and the platform used to replay and analyze agent traces. You will work closely with data scientists, engineers, and product teams to identify quality problems, measure their impact, and turn evaluation findings into product improvements. RESPONSIBILITIES - Build shared evaluation infrastructure that helps teams run reliable evals, analyze results, and make product and model decisions - Develop the platform for replaying and analyzing agent traces to reproduce production behavior and diagnose failures - Build and operate scalable systems for processing, storing, and monitoring interaction, trace, and evaluation data - Partner with data scientists, engineers, and product teams to turn answer-quality problems into evaluations, analyses, and product improvements - Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality QUALIFICATIONS - 4+ years of software, data, or machine learning engineering experience shipping and operating production systems - Strong proficiency in Python and SQL, with solid fundamentals in system design, data modeling, and distributed systems - Experience building big-data systems, including distributed compute, large-scale storage, and high-volume pipelines - Demonstrated ownership of ambiguous technical projects from initial design through production operation - Ability to work effectively with data scientists, engineers, and product partners PREFERRED QUALIFICATIONS - Experience building evaluation, experimentation, observability, or machine learning infrastructure - Familiarity with LLM and agent systems, including tool use, execution traces, replay, and simulation - Experience building on top of large-scale data processing platforms such as Databricks, Snowflake, or ClickHouse

Location: Mississauga, Ontario Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Job title: Senior Software Engineer   About the role:   You will join a high-impact team transforming healthcare through technology. Our platform  connects fragmented clinical systems to enable real-time care coordination across  thousands of healthcare facilities, serving millions of users. You will design and build  scalable platform services, leveraging modern AI-augmented engineering practices to  accelerate delivery, improve reliability, and enhance clinical and operational outcomes   What your day-to-day will look like:           • Build robust platform services supporting clinical operations          • Partner with product and clinical teams to understand and solve real workflow             challenges         • Drive architectural decisions for business platform services         • Own the reliability and performance of critical healthcare solutions         • Mentor team members on modern engineering practices   What qualifications we’re looking for:   Required Technical Experience           •Strong track record building and shipping production software in modern languages            (Java, Python, or similar)          • Deep understanding of cloud-native architecture and distributed systems design             patterns          • Expertise in design, optimization, and scaling for relational (SQL) database             systems, bonus points for NoSQL database systems                         • Experience designing and implementing RESTful APIs and microservices          • Proficiency with test-driven development, automated testing, and maintaining high             code quality          • Hands-on experience with modern frontend frameworks, primarily React or Vue.js.         • Working knowledge of CI/CD pipelines and infrastructure-as-code practices          • Experience with production observability, monitoring, and performance             optimization tools   Modern Engineering Practices         • Comfortable using AI-augmented development tools (e.g., GitHub Copilot, Claude             Code) as part of your workflow          • Experience applying AI tools throughout the development lifecycle from             requirements analysis, documentation to incident response         • Strong code review skills demonstrated through giving and receiving constructive             feedback          • Experience with Git workflows and collaborative development practices          • Ability to balance feature delivery with system reliability and technical excellence          • Comfortable with on-call responsibilities and incident response  What Would Make You Stand Out         • Experience building and scaling SaaS platforms         • Track record of mentoring engineers or leading technical initiatives         • Background with Spring Boot and Java ecosystem         • Experience with Azure cloud services and Kubernetes (AKS)         • Experience in healthcare technology or regulated industries         • Understanding of HIPAA compliance and handling sensitive data   Our Stack         • Front-End: React/Vue JS, Micro-Frontends, Material-UI         • Backend: Java, Spring Boot         • Data: PostgreSQL, MSSQL, Redis         • CI/CD: GitHub Actions, Jenkins         • Infrastructure: Azure, AKS, Terraform         • AI Tooling: Claude Code, Copilot     #LI-AJ1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $142,000-158,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: London Workplace: Hybrid We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters. RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Location: San Francisco; Palo Alto We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Location: San Francisco; Palo Alto; New York City We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us. WHAT YOU WILL WORK ON Examples of real work the team does: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. GOOD IF YOU TOUCHED ANY OF - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).

Location: London We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL. RESPONSIBILITIES: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR: - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. NICE-TO-HAVE: - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS: - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation). Final offer amounts are determined by multiple factors including experience and expertise. Equity: In addition to the base salary, equity may be part of the total compensation package.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE Atlas gives teams a way to build and use internal software with AI, with the infrastructure to connect company tools, manage access, and share what they build. We're hiring a Product Manager to help take Atlas from a new product to something teams rely on every day. You'll identify the most valuable problems to solve, work closely with engineering and design to ship, and figure out what turns early interest into adoption. This role spans product discovery, launch, and the work that comes after: learning from real usage and deciding where to go next. The product team at WorkOS works closely with developers and technical buyers who have strong opinions and high standards. Our engineers bring sharp product instincts, and you'll be a close partner in deciding what to build and why. You'll have room to shape the product, make decisions with incomplete information, and move quickly as you learn. WHAT YOU'LL DO - Own product direction and outcomes for Atlas, from identifying customer problems through discovery, delivery, launch, and iteration. - Work directly with early users to understand what they're trying to build, where they get stuck, and what would make Atlas useful in their everyday work. - Turn those insights into a clear roadmap, making deliberate choices about which use cases to pursue and what to ship first. - Partner closely with engineering and design to turn technical capabilities into a product people can understand and use. - Define success metrics for activation, adoption, and continued use, and use customer feedback and product data to guide your next decisions. - Work with marketing, sales, and other go-to-market partners to bring Atlas to market and communicate its value clearly. - Follow how people are building with AI and agents, and use what you learn to identify new product opportunities. WHAT WE'RE LOOKING FOR - Experience building products for developers or technical B2B users, with the technical fluency to work closely with engineers and understand customer workflows. - A track record of taking a new product from an early idea to launch and adoption. You can explain the decisions you made, what you learned from users, and how the product changed as a result. - Strong product judgment: you can find a useful starting point in an ambiguous problem and decide what matters most. - A habit of talking to customers and using what you learn to shape the product. - The ability to move quickly, make decisions without perfect information, and adjust as new evidence comes in. - Clear communication and strong partnerships with engineering, design, and go-to-market teams. ESPECIALLY RELEVANT EXPERIENCE - Shipping agentic products, or working directly alongside teams building them. Recent experience with how people use agents to get work done is a strong plus. - Bringing a new developer tool or technical B2B product to market and building its early adoption. - Working on pricing, packaging, or a product-led growth motion. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As a Business Development Representative, you will play a critical role in driving revenue growth for the Fin Sales organization through effective pipeline generation. Our role is to lay the foundation for Fin Sales by engaging with prospects and customers, helping them understand the value of Fin through creative & engaging prospecting. We invest in our BDRs. We strongly believe in giving our team the opportunities to grow & develop at Fin, to push themselves outside of their comfort zones to achieve goals they never thought possible.  In joining the Business Development team at Fin, you join a community that believes in development and promotion from within. We’re looking for people who are excited to work in a fast-moving company, make an impact, and rapidly develop their career in sales. As a BDR team, we empower one another to achieve our goals, exceed expectations and continue to deliver real business impact. We’re looking for a teammate to do the same! What will I be doing? Creating and prioritizing strategic target account lists with Account Executives Generating new business pipeline for Account Executives through cold calling, email, social etc. Providing a great experience for Fin's prospective customers Maintaining an up-to-date knowledge of our product and its value to customers Demonstrating an ability to attract new customers Working with other functions to improve business processes Engaging in team development and mentoring What skills do I need? Strong desire to build a career in Sales, you want to be an Account Executive or a closing based role in the future 1+ year of customer-facing work experience (Sales and/or SaaS experience is a +) Operational Excellence: You can use your time in an effective and efficient manner to complete revenue driving activities, you can quickly identify where to focus your efforts to drive more pipeline. Competitive Landscape & Industry Knowledge is crucial. You’ll bring an understanding of the SaaS landscape and our target verticals. You always want to stay on top of the latest news & industry trends. Prospecting skills (cold calling, email, social) You know how to leverage modern sales engagement tools to deliver prospect engagement across multiple channels (phone, email, LinkedIn) Communication You can articulate your thoughts and express ideas effectively using verbal, written and non-verbal communication skills (to inform, instruct, and persuade), to different audiences. You listen effectively and love to partner and collaborate with your peers Growth Mindset You’re self-aware and understand both your strengths and weaknesses. You understand every day is an opportunity to be 1% better than the day before. You proactively seek feedback. Results Oriented You bring a never settle approach to quota, progression and team development. Results oriented SDRs are hungry to succeed and raise the bar. Bonus skills & attributes Bachelor's Degree preferred Familiarity with these systems and tools: (SFDC, Outreach, Cognism, Zoominfo, LinkedIn Sales Navigator) #LI-Hybrid #LI-RH1 Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.