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Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX | Seattle, WA | Denver, CO About the Department The Deal Desk team is a critical component of the Finance function, acting as a strategic partner to the global Sales organization. We are responsible for partnering with sales to structure, negotiate, and close complex deals. We ensure that deals meet the requirements of "good business" while also keeping our customers' best interest in mind. We are committed to building a data-centric and AI-augmented Deal Desk that leverages predictive analytics and automated workflows to optimize pricing in real-time and automate routine approvals, allowing for deeper strategic focus. About the Role As a Deal Desk Manager, you will be the architect of our AI-driven deal desk, transitioning our sales process from manual workflows to an intelligent, automated engine that spans from initial scoping to final execution. By leveraging agentic workflows and automated data layers, the focus shifts to high-judgment architecture for non-standard enterprise deals. The objective is to serve as a high-influence "Sales Co-pilot," using AI-driven insights to maximize deal velocity and Long-Term Value (LTV) while relentlessly reducing friction through iterative process automation. Responsibilities Orchestrate Strategic Deal Architecture: Lead the structuring and execution of non-standard, high-value enterprise deals, providing high-judgment guidance that balances competitive differentiation with long-term business health. Sales Co-pilot & Strategic Influence: Serve as a strategic partner to Sales leadership, utilizing AI-driven data to maximize deal velocity, improve LTV, and ensure discovery reflects true customer needs. Perform analysis on pricing and deal terms, leveraging AI insights to recommend "next best action" for deal structuring and margin optimization. Curate and Tune AI Agents: Manage the enterprise deal approval ecosystem by tuning automated agents and models to ensure compliance and accuracy at scale. Drive Process Iteration: Partner with cross-functional teams (Legal, Finance, Product) to build, streamline, and automate deal desk processes, architecting autonomous approval workflows and focusing on reducing field friction through relentless automation. Champion AI & Automation Integration: Champion the integration of LLMs and generative AI tools to automate deal desk workflows, significantly reducing deal cycle times. Identify bottlenecks and implement AI-powered productivity solutions. Desirable Skills, Knowledge, and Experience 6-8+ years of Deal Desk, FP&A, Revenue Operations, or similar experience, with a proven track record of supporting large-scale enterprise sales motions; 3+ years of deal desk experience preferred. Financial & Sales Acumen: Solid understanding of SaaS metrics, pricing models, and financial concepts like ARR, Gross Margin, churn, and profitability. Experience with revenue recognition principles (e.g., ASC 606) is highly desirable. Experience selling software is a bonus. Contract & Pricing Knowledge: Experience drafting and interpreting commercial contracts, with a focus on terms that impact revenue recognition and financial risk. Ability to analyze and recommend the best course of action for complex pricing and licensing situations. Data & AI Literacy: Proficiency in leveraging agentic workflows and prompt engineering to scale influence, extract insights from large datasets, and automate repetitive operational tasks and internal documentation. Algorithmic Thinking: The ability to understand and audit automated pricing models to ensure alignment with long-term company goals. Strategic Influence: Demonstrated ability to navigate complex, cross-functional negotiations and make high-judgment decisions in fast-paced environments. Process Design Mindset: A relentless focus on iterative automation and the ability to translate complex business policies into streamlined, automated logic. Communication Excellence: Exceptional written and oral communication skills, capable of explaining complex deal structures and financial data to both technical and executive stakeholders. Bonus Points Experience in software sales or sales operations, providing a "boots on the ground" perspective of the sales cycle. Deep knowledge of Cloud/SaaS infrastructure and the global cybersecurity competitive landscape. If you're excited by fast-paced innovation, dedicated to driving global growth, and want to help build a better internet, we'd love to hear from you. Application Deadline: January 12, 2027 Compensation Compensation may be adjusted depending on work location. For Seattle based hires: Estimated annual salary of $147,000 - $202,000 For Denver based hires: Estimated annual salary of $134,000 - $184,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations SF / SV Bay Area, US About the Role We are seeking an experienced and strategic Senior Majors Account Executive to join our Enterprise/Field Sales team. In this pivotal role, you will lead Cloudflare’s strategic engagement with Meta, securing and expanding platform partnerships across this key account. The ideal candidate brings strong sales leadership, a deep understanding of enterprise architecture (business, data, applications, technology), and the ability to articulate how Cloudflare integrates into modern cloud operating models. As a Senior Majors Account Executive, you will drive predictable sales performance, foster healthy pipeline growth, and deliver on revenue objectives. You will act as a trusted advisor, educating customers and partners on Cloudflare’s evolving product ecosystem and security capabilities. This role involves leveraging executive sponsorship programs, partnering with senior leaders (including CIOs, CISOs, and CTOs), and collaborating with cross-functional teams to navigate and successfully close complex customer opportunities. Responsibilities Strategic Revenue Leadership: Develop and execute account plans to meet and exceed revenue goals by structuring enterprise-grade platform partnerships within key accounts. Predictable Pipeline & Forecasting: Maintain accurate sales forecasting and proactive pipeline management, sharing insights to support broader sales strategy. Enterprise Architecture Alignment: Demonstrate a strong understanding of customer Enterprise Architecture across business, data, applications, and technology pillars, connecting Cloudflare solutions directly to customer business outcomes. Executive & C-Suite Engagement: Manage complex customer engagements across multiple business units, building strong relationships with executive sponsors and C-level stakeholders. Cross-Functional Collaboration: Partner effectively with cross-functional teams—including Product Managers and executive leadership—to advance strategic deals and resolve operational friction. Digital Transformation Guidance: Serve as a key advisor on digital transformation, helping customers navigate market shifts and position Cloudflare as a core strategic partner. Clear Communication & Feedback: Connect insights across global departments to deliver clear messaging, provide constructive feedback, and support continuous team growth. Long-Term Strategic Vision: Make balanced decisions aligned with long-term organizational value, building trust through open communication and knowledge sharing. Goal Setting & Operational Efficiency: Partner with teams to set clear metrics, address operational roadblocks, and improve cross-departmental workflows. Collaborative Problem Solving: Proactively identify customer and internal needs, fostering positive change and contributing to continuous team improvement. Inclusive Leadership: Champion diverse perspectives to solve complex business challenges and support a supportive, forward-thinking team environment. Desirable Skills, Knowledge, and Experience You have recent experience in the past three years selling into Meta. Demonstrated track record of success in B2B enterprise sales, closing multi-year, complex technology agreements demonstrating a track record of consistently exceeding quota and closing transformative platform deals. Deep understanding of enterprise cloud platforms, network security, and modern IT architecture. Proven capability to align solutions with customer Enterprise Architecture (Business, Data, Applications, Technology) and enterprise business models mapping Cloudflare solutions to complex business models and modern cloud operating environments. Experience engaging with executive stakeholders and managing executive sponsorship initiatives. Strong collaborative skills with experience working alongside cross-functional leadership teams. Familiarity with digital transformation trends and the ability to translate market insights into customer solutions. Strong presentation, negotiation, and written communication skills across technical and business audiences. Thoughtful decision-making approach focused on sustainable, long-term business success. Experience setting clear performance indicators and facilitating cross-team alignment. Proficiency with enterprise sales tools and methodologies (e.g., Salesforce, Tableau, MEDDPICC, or similar frameworks). Relevant professional experience in technology sales or enterprise consulting; advanced degrees or continuous technical learning are welcomed. Willingness to travel as needed to foster strong customer and internal team relationships. Compensation Compensation may be adjusted depending on work location. Estimated annual salary of $360,000- $400,000 (base/variable) This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations SF / SV Bay Area, US About the Role We are seeking an experienced and strategic Senior Majors Account Executive to join our Enterprise/Field Sales team. In this pivotal role, you will lead Cloudflare’s strategic engagement with Google, securing and expanding platform partnerships across this key account. The ideal candidate brings strong sales leadership, a deep understanding of enterprise architecture (business, data, applications, technology), and the ability to articulate how Cloudflare integrates into modern cloud operating models. As a Senior Majors Account Executive, you will drive predictable sales performance, foster healthy pipeline growth, and deliver on revenue objectives. You will act as a trusted advisor, educating customers and partners on Cloudflare’s evolving product ecosystem and security capabilities. This role involves leveraging executive sponsorship programs, partnering with senior leaders (including CIOs, CISOs, and CTOs), and collaborating with cross-functional teams to navigate and successfully close complex customer opportunities. Responsibilities Strategic Revenue Leadership: Develop and execute account plans to meet and exceed revenue goals by structuring enterprise-grade platform partnerships within key accounts. Predictable Pipeline & Forecasting: Maintain accurate sales forecasting and proactive pipeline management, sharing insights to support broader sales strategy. Enterprise Architecture Alignment: Demonstrate a strong understanding of customer Enterprise Architecture across business, data, applications, and technology pillars, connecting Cloudflare solutions directly to customer business outcomes. Executive & C-Suite Engagement: Manage complex customer engagements across multiple business units, building strong relationships with executive sponsors and C-level stakeholders. Cross-Functional Collaboration: Partner effectively with cross-functional teams—including Product Managers and executive leadership—to advance strategic deals and resolve operational friction. Digital Transformation Guidance: Serve as a key advisor on digital transformation, helping customers navigate market shifts and position Cloudflare as a core strategic partner. Clear Communication & Feedback: Connect insights across global departments to deliver clear messaging, provide constructive feedback, and support continuous team growth. Long-Term Strategic Vision: Make balanced decisions aligned with long-term organizational value, building trust through open communication and knowledge sharing. Goal Setting & Operational Efficiency: Partner with teams to set clear metrics, address operational roadblocks, and improve cross-departmental workflows. Collaborative Problem Solving: Proactively identify customer and internal needs, fostering positive change and contributing to continuous team improvement. Inclusive Leadership: Champion diverse perspectives to solve complex business challenges and support a supportive, forward-thinking team environment. Desirable Skills, Knowledge, and Experience You have recent experience in the past three years selling into Alphabet (Google). Demonstrated track record of success in B2B enterprise sales, closing multi-year, complex technology agreements demonstrating a track record of consistently exceeding quota and closing transformative platform deals. Deep understanding of enterprise cloud platforms, network security, and modern IT architecture. Proven capability to align solutions with customer Enterprise Architecture (Business, Data, Applications, Technology) and enterprise business models mapping Cloudflare solutions to complex business models and modern cloud operating environments. Experience engaging with executive stakeholders and managing executive sponsorship initiatives. Strong collaborative skills with experience working alongside cross-functional leadership teams. Familiarity with digital transformation trends and the ability to translate market insights into customer solutions. Strong presentation, negotiation, and written communication skills across technical and business audiences. Thoughtful decision-making approach focused on sustainable, long-term business success. Experience setting clear performance indicators and facilitating cross-team alignment. Proficiency with enterprise sales tools and methodologies (e.g., Salesforce, Tableau, MEDDPICC, or similar frameworks). Relevant professional experience in technology sales or enterprise consulting; advanced degrees or continuous technical learning are welcomed. Willingness to travel as needed to foster strong customer and internal team relationships. Compensation Compensation may be adjusted depending on work location. Estimated annual salary of $360,000- $400,000 (base/variable) This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations SF / SV Bay Area, US About the Role We are seeking an experienced and strategic Senior Majors Account Executive to join our Enterprise/Field Sales team. In this pivotal role, you will lead Cloudflare’s strategic engagement with Apple, securing and expanding platform partnerships across this key account. The ideal candidate brings strong sales leadership, a deep understanding of enterprise architecture (business, data, applications, technology), and the ability to articulate how Cloudflare integrates into modern cloud operating models. As a Senior Majors Account Executive, you will drive predictable sales performance, foster healthy pipeline growth, and deliver on revenue objectives. You will act as a trusted advisor, educating customers and partners on Cloudflare’s evolving product ecosystem and security capabilities. This role involves leveraging executive sponsorship programs, partnering with senior leaders (including CIOs, CISOs, and CTOs), and collaborating with cross-functional teams to navigate and successfully close complex customer opportunities. Responsibilities Strategic Revenue Leadership: Develop and execute account plans to meet and exceed revenue goals by structuring enterprise-grade platform partnerships within key accounts. Predictable Pipeline & Forecasting: Maintain accurate sales forecasting and proactive pipeline management, sharing insights to support broader sales strategy. Enterprise Architecture Alignment: Demonstrate a strong understanding of customer Enterprise Architecture across business, data, applications, and technology pillars, connecting Cloudflare solutions directly to customer business outcomes. Executive & C-Suite Engagement: Manage complex customer engagements across multiple business units, building strong relationships with executive sponsors and C-level stakeholders. Cross-Functional Collaboration: Partner effectively with cross-functional teams—including Product Managers and executive leadership—to advance strategic deals and resolve operational friction. Digital Transformation Guidance: Serve as a key advisor on digital transformation, helping customers navigate market shifts and position Cloudflare as a core strategic partner. Clear Communication & Feedback: Connect insights across global departments to deliver clear messaging, provide constructive feedback, and support continuous team growth. Long-Term Strategic Vision: Make balanced decisions aligned with long-term organizational value, building trust through open communication and knowledge sharing. Goal Setting & Operational Efficiency: Partner with teams to set clear metrics, address operational roadblocks, and improve cross-departmental workflows. Collaborative Problem Solving: Proactively identify customer and internal needs, fostering positive change and contributing to continuous team improvement. Inclusive Leadership: Champion diverse perspectives to solve complex business challenges and support a supportive, forward-thinking team environment. Desirable Skills, Knowledge, and Experience You have recent experience in the past three years selling into Apple. Demonstrated track record of success in B2B enterprise sales, closing multi-year, complex technology agreements demonstrating a track record of consistently exceeding quota and closing transformative platform deals. Deep understanding of enterprise cloud platforms, network security, and modern IT architecture. Proven capability to align solutions with customer Enterprise Architecture (Business, Data, Applications, Technology) and enterprise business models mapping Cloudflare solutions to complex business models and modern cloud operating environments. Experience engaging with executive stakeholders and managing executive sponsorship initiatives. Strong collaborative skills with experience working alongside cross-functional leadership teams. Familiarity with digital transformation trends and the ability to translate market insights into customer solutions. Strong presentation, negotiation, and written communication skills across technical and business audiences. Thoughtful decision-making approach focused on sustainable, long-term business success. Experience setting clear performance indicators and facilitating cross-team alignment. Proficiency with enterprise sales tools and methodologies (e.g., Salesforce, Tableau, MEDDPICC, or similar frameworks). Relevant professional experience in technology sales or enterprise consulting; advanced degrees or continuous technical learning are welcomed. Willingness to travel as needed to foster strong customer and internal team relationships. Compensation Compensation may be adjusted depending on work location. Estimated annual salary of $360,000- $400,000 (base/variable) This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: TBD 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Must be eligible to work in Canada and capable of obtaining the required security clearance. Bachelor’s or Master’s degree in Electrical Engineering, Systems Engineering, Aerospace Engineering, or a related field. 15+ years of experience in satellite systems design, particularly for Low Earth Orbit (LEO) missions. Experience supporting the full satellite systems lifecycle, from design through verification, launch, and operations. Strong background in electrical system architecture, payload-bus integration, and subsystem interfaces. Experience with requirements management, system verification and validation, and technical documentation. Proficiency in MATLAB and familiarity with Agile methodologies. Senior Electrical Satellite Systems Engineer- JD.pdf About the Role We are seeking a Senior Electrical Satellite Systems Engineer to lead electrical systems engineering activities for satellite programs, with a focus on Low Earth Orbit (LEO) missions. The successful candidate will define electrical system architecture, oversee subsystem interfaces, manage requirements and technical documentation, and lead verification and validation activities throughout the satellite lifecycle. This role also involves technical leadership, stakeholder coordination, subcontractor oversight, and support for launch and early operations. Senior Electrical Satellite Systems Engineer- JD.pdf What We’re Looking For We’re looking for a senior-level satellite systems engineer with deep electrical systems expertise, strong end-to-end lifecycle experience, and the ability to lead complex technical activities across design, integration, verification, and operations. The ideal candidate combines systems-level thinking with practical engineering judgment, clear communication, and effective technical leadership. Senior Electrical Satellite Systems Engineer- JD.pdf Key Responsibilities System Design & Architecture Define electrical system architecture supporting payload and satellite bus integration. Manage system requirements, traceability, and technical documentation, including Concept of Operations (CONOPS). Oversee interfaces among satellite subsystems, including avionics, electrical power, and Attitude and Orbit Control Systems (AOCS). Coordinate system-level design activities to ensure compatibility across subsystems. Analysis & Reliability Conduct electrical power budgets and system-level analyses. Perform failure mode and reliability analyses. Develop and support Fault Detection, Isolation, and Recovery (FDIR) strategies. Identify system risks and support technical trade-off decisions. Verification & Validation Lead system verification and validation (V&V) activities. Develop verification strategies, test plans, and supporting documentation. Support ground testing, including Thermal Vacuum (TVAC) and Electromagnetic Compatibility/Interference (EMC/EMI) testing. Ensure verification activities address system requirements and interface performance. Testing & Operations Develop system-level test plans and procedures. Support launch preparation, Launch and Early Orbit Phase (LEOP), and Satellite Operations Control Centre (SOCC) activities. Assist with troubleshooting and resolving system-level issues during testing and operations. Senior Electrical Satellite Systems Engineer- JD.pdf Technical Leadership & Stakeholder Coordination Mentor engineers and provide technical guidance to engineering teams. Coordinate with stakeholders, subcontractors, and cross-functional engineering groups. Lead and participate in design reviews, including: System Requirements Review (SRR) Preliminary Design Review (PDR) Critical Design Review (CDR) Apply relevant engineering standards and practices, including ECSS and PUS-STD. Project & Process Management Oversee subcontractor activities and technical deliverables. Track technical issues, risks, and project progress. Support Agile engineering practices and continuous improvement initiatives. Senior Electrical Satellite Systems Engineer- JD.pdf Required Qualifications Bachelor’s or Master’s degree in Electrical Engineering, Systems Engineering, Aerospace Engineering, or a related discipline. 15+ years of satellite systems design experience, particularly involving LEO missions. Experience across the full satellite systems lifecycle. Strong understanding of electrical system architecture and payload-bus integration. Experience with avionics, electrical power, AOCS, and related subsystem interfaces. Experience with requirements management, traceability, and system documentation. Background in power budgeting, failure mode analysis, reliability engineering, and FDIR. Experience leading system-level verification and validation. Knowledge of ground testing, including TVAC and EMC/EMI. Experience supporting launch, LEOP, and satellite operations activities. Proficiency in MATLAB and familiarity with Agile methodologies. Strong communication, leadership, analytical, and problem-solving skills. Must be eligible to work in Canada and able to obtain the necessary security clearance. Senior Electrical Satellite Systems Engineer- JD.pdf Preferred Qualifications Experience with ECSS standards and PUS-STD. Experience leading satellite design reviews and coordinating technical stakeholders. Experience overseeing subcontractors and managing technical deliverables. Experience mentoring engineers and leading multidisciplinary engineering teams.

Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email address to access the portal. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: CPT-11567 EmPower+ Enrollment Caller Virtual Assistant Independent Contractor – CPT-11567 EmPower+ Enrollment Caller Virtual Assistant/Business Support VA/Senior-Advanced Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. A home energy services company is seeking an experienced EmPower+ Enrollment Caller Virtual Assistant to support a homeowner outreach and enrollment campaign. The primary purpose of this role is to help eligible homeowners apply for and obtain approval for the EmPower+ program. The VA will be the dedicated person handling phone-based outreach and enrollment support, while the client's existing team will take over once homeowners have been approved. The VA will make outbound calls to homeowner lists provided by the client, including past customers, program referrals, and individuals who respond to mail campaigns. The VA will also answer inbound calls generated from the campaign, explain the program, confirm basic eligibility, guide qualified homeowners through the application and documentation requirements, and conduct persistent follow-up until the application is submitted and approved. This is a service- and enrollment-focused role rather than a traditional hard-sales position. The ideal candidate should be persuasive without being pushy, patient when speaking with older homeowners and families on fixed incomes, and highly organized when managing applications and follow-ups. The client is establishing a New York compliance package that will include the approved script, calling hours, Do-Not-Call procedures, required disclosures, and call-recording requirements. The VA will be expected to follow these procedures consistently from day one. The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: Cold Calling & Inbound Calls Make outbound calls to homeowners using lists provided by the client Contact past customers, program referrals, and homeowners who respond to mail campaigns Answer inbound calls generated by the outreach and mail campaign Clearly explain the program and enrollment process to prospective participants Build rapport and establish trust with homeowners Answer questions within the scope of the approved script and procedures Address hesitation and concerns in a patient, friendly, and informative manner Encourage interested homeowners to move forward with the enrollment process Maintain professional and empathetic communication throughout each interaction Eligibility Screening & Enrollment Conduct an initial eligibility screening during the call Confirm basic eligibility requirements, including: Homeownership status Whether the property is a 1–4 family home Whether the homeowner holds a qualifying award letter or participates in programs such as HEAP, SNAP, SSI, Medicaid, or similar programs Explain the application requirements to eligible homeowners Walk homeowners through the application process Explain the documents and information required to complete the application Help homeowners understand the steps needed to submit their application Follow up with homeowners regarding outstanding information or documentation Maintain consistent follow-up until the application is submitted and approved Escalate questions or situations that require assistance from the client's team CRM Management & Follow-Up Log every outbound and inbound call and its outcome in Zoho CRM Maintain accurate homeowner contact information and enrollment status Document conversations, eligibility information, follow-up requirements, and next steps Track homeowners who have expressed interest but have not completed their application Monitor missing documents or information requiring follow-up Conduct timely and persistent follow-up with prospective applicants Keep CRM records complete, accurate, and up to date Communicate important updates or stalled applications to the client Compliance & Process Adherence Follow the client's approved calling script and enrollment process Adhere strictly to designated calling hours Follow all Do-Not-Call procedures Immediately honor requests from homeowners not to receive further calls Follow all required disclosures Follow established call-recording procedures Maintain confidentiality when handling homeowner information and documents Escalate situations that fall outside the approved script, process, or VA's responsibilities Follow all client-provided compliance guidelines consistently Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: 2+ years of experience in phone sales, appointment setting, benefits enrollment, call center, customer service, or a similar phone-based role Outbound calling experience required Inbound call-handling experience preferred Excellent spoken English required Good written English required Level A – Neutral English accent preferred Experience in benefits enrollment or eligibility-based programs strongly preferred Experience assisting customers with applications and document collection is a plus CRM experience required Zoho CRM experience preferred Experience working with scripts and compliance-sensitive calling procedures preferred Spanish-speaking is a plus, not required Experience working with older customers or individuals requiring additional assistance is a plus IDEAL CANDIDATE PROFILE Experienced in phone sales, appointment setting, benefits enrollment, or call center operations Confident and comfortable making outbound calls and receiving inbound calls Excellent spoken English with a neutral accent Good written English skills Patient, friendly, and professional when communicating with homeowners Comfortable speaking with older homeowners and families on fixed incomes Strong ability to build rapport and establish trust over the phone Able to move hesitant prospects toward completing an application without using an aggressive sales approach Persistent and highly organized with excellent follow-through Detail-oriented when collecting information and tracking documentation Disciplined in following scripts, workflows, and compliance requirements Comfortable working with a CRM and maintaining accurate records Able to manage multiple prospects and follow-up requirements independently Spanish-speaking is a plus, not required Able to understand when an issue should be escalated rather than providing information outside the approved process APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED Zoho CRM VoIP / Outbound Calling Systems Call Recording Platforms Email Document Management Tools Work Schedule Contracted Hours per Week: 40 Hours Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time:  between 8:00 AM – 9:00 PM EST, within designated calling hours Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Business Support REQUESTED EXPERIENCE TIER LEVEL: Senior and Advanced Level Contracted Hours per Week: 40 hours/week Daily Working Time:  between 8:00 AM – 9:00 PM EST, within designated calling hours Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE:  Level A-B Neutral English Accent REGION PREFERENCES: Philippines What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Location: Atlanta, GA About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today! Position Overview/Purpose: We are looking for an experienced Per Diem Nurse Practitioner to provide face-to-face assessments care to hospice patients in the Atlanta, GA region . You will apply medical techniques and principles under the supervision of a physician and you will care for a diverse set of patients with chronic diseases. Principal Duties and Responsibilities (Essential Functions): Hospice FTF Day to Day Review daily schedule and visit locations Confirm all required Face-to-Face (F2F) encounters due within regulatory timeframe Review patient hospice eligibility, terminal diagnosis, and prior certifications Review recent: Nursing notes IDG notes Hospitalizations/ER visits Medication changes Decline indicators Before Each Visit Review patient history and prior F2F documentation Identify: LCD eligibility indicators Functional decline Weight loss/nutritional decline PPS/FAST trends Cognitive changes Symptom burden Confirm caregiver/contact availability Notify family/facility of estimated arrival if needed Eligibility Documentation Clearly document continued decline supporting hospice eligibility Include objective findings: PPS score FAST score (if dementia) MAC/weight loss Frequent infections/hospitalizations Increased dependence Ensure documentation supports physician recertification Avoid vague wording such as “stable” without context Medication Review Reconcile medications Review comfort medications and effectiveness Identify unnecessary or non-covered medications Address symptom management concerns Communicate recommendations to hospice physician/IDT as needed Communication & Coordination Educate patient/family on disease progression and expectations Reinforce goals of care and hospice philosophy Collaborate with: Case manager Medical director Escalate urgent concerns immediately Update clinical leadership regarding high-risk patients Documentation Checklist Complete F2F note same day Ensure note includes: Reason for encounter Clinical findings Decline indicators Functional status Prognosis indicators Eligibility statement Sign documentation promptly Per Visit rate #tan Full-time employees qualify for the following benefits: Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. Paid Time Off Paid Office Holidays All employees qualify for these benefits: Paid Sick Time 401(k) with up to 3% company match Referral Program Payactiv: pay-on-demand. Cash out earned money when and where you need it! Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended. Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Location: Athens, Greece About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At Wolt, we’re building technology that makes life in local neighborhoods simpler. Wolt Market is our online grocery business, bringing customers a curated range of everyday essentials quickly and reliably. The Category Team shapes the assortment, promotions and supplier collaboration behind that experience. As a Category Specialist, you will be the operational backbone of the team ensuring promotional plans, data, communication and follow-ups move accurately and on time. What you’ll be doing This is a hands-on coordination role at the centre of the Category Team. You will work closely with Category Managers, suppliers and internal stakeholders to keep commercial activities organised, accurately documented and delivered on schedule. Day-to-day in this role you’ll: Coordinate the collection, follow-up and communication of promotional plans with suppliers. Maintain accurate trackers, files and timelines for promotions, campaigns and category initiatives. Support Category Managers with administrative and executional tasks, including supplier and SKU-related processes. Act as a key point of contact between suppliers, Category Managers and internal teams, ensuring clear and timely activation of Promo Plan. Support post-campaign reporting and the preparation of materials used to evaluate promotions and commercial activities. Use systems, reporting tools and AI-enabled tools to improve accuracy, visibility and day-to-day efficiency. Our humble expectations We are looking for a highly organised and proactive team player who enjoys working in a fast-moving e-commerce environment. Experience in a coordination, commercial support, e-commerce or retail or FMCG role. Strong organisational skills, attention to detail and the ability to manage multiple priorities and deadlines. Clear and professional written and verbal communication skills in Greek and English. Confidence working with Excel or Google Sheets, PowerPoint and everyday office tools. Comfort using systems and reporting tools, with curiosity and willingness to adopt AI and automation tools. A collaborative and hands-on approach, with the motivation to learn and grow in a commercial environment. What’s in it for you You’ll gain broad exposure to the commercial engine of a fast-growing online grocery business and work closely with Category Managers, suppliers and cross-functional teams. This role offers a strong foundation to build commercial, analytical and operational skills while helping shape more efficient ways of working through data, systems and AI. Next steps We review applications on a rolling basis. The recruitment process will include an initial conversation with Talent Acquisition, an interview with the hiring team and a practical assessment or working session relevant to the role. The Talent Acquisition team will guide you through the process and share the details at each stage. The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This position is not eligible for consideration for an equity/RSU grant. Pay Range: €1.851 — €2.314 EUR Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies, behaviors, and daily lives.   WHOOP Labs is the on-site research facility for product development and innovation at WHOOP. We conduct human-centered hardware and algorithm research to create best-in-class product experiences that work for all members.   WHOOP is hiring a Researcher II to support research planning and execution on weekends, supporting critical data collection windows for participant diversity and expanded access. This role will cover a broad range of research studies for algorithm training, hardware validation, and design testing. While your home base will be WHOOP’s on-site product research facility, WHOOP Labs, studies will include field collections across the metro Boston area to widen access for diverse communities. Your efforts will support the organization as we continue to develop a best-in-class experience and lead the wearables industry.   *This role is fully onsite at our Boston, MA office and follows a 4x10 schedule, with four 10-hour workdays each week, Friday through Monday, and three days off Tuesday through Thursday.   RESPONSIBILITIES - Execute testing protocols across multiple concurrent studies, owning research execution on weekends and collaborating with other researchers on Friday and Monday to ensure consistent protocol administration across all days and shifts. - Own research documentation for weekend hours, collaborating with other researchers on Friday and Monday to ensure effective handoffs and information transfer across shifts. - Provide coaching and guidance to participants during exercise protocols, balancing data integrity, research best practices, and participant experience - Create a supportive and welcoming environment for participants engaging in a range of research tasks, from exercises to device interactions - Manage the use, troubleshooting, and upkeep of sensitive data collection equipment and prototype devices - Develop strong working knowledge of WHOOP’s research platform tooling suite, with the ability to troubleshoot issues in real time—including during active data collections—and problem-solve on the fly - Develop junior researchers by providing technical coaching, delegation, constructive feedback, and growth opportunities - Own daily lab management tasks required for data collections to be successful, such as laundry, equipment cleaning, material organization, and overall lab readiness - Serve as an ambassador for WHOOP Labs and the WHOOP brand   QUALIFICATIONS - Bachelor’s Degree in human physiology, biomedical engineering, psychology, HCI, or similar - Professional experience in research & development, human subjects research, or a related field, including 2+ years of experience conducting human subjects research - Strong technological background and working knowledge of data management systems including the Google Suite - Familiarity with research platform tools and hardware testing environments preferred - Strong interpersonal communication skills with a savvy for working as part of a highly collaborative, fast-paced team - Ability to manage multiple priorities and adapt quickly in dynamic research settings - Prior experience in customer service or other public-facing roles a plus - Strong written, verbal, and presentation skills, with confidence giving and receiving feedback across disciplines   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $75,000 - $95,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Berlin, Germany About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale. In AI infrastructure, PoC success does not guarantee production success. This role ensures that what we commit to is scalable, efficient, and aligned with platform strategy. We are looking for a Senior Sales Engineer to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions. You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing: Revenue quality Engineering focus Product evolution Customer trust at scale You’re welcome to work remotely from Europe. Your responsibilities will include: Strategic Technical Discovery Lead deep technical discovery with engineering teams and technical founders Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies Translate customer ambition into production-feasible architectures Identify hidden technical risks early Commercial Acceleration Partner tightly with Sales on strategic deals Influence deal strategy through architectural clarity Prevent misaligned commitments before engineering allocation Increase PoC-to-production conversion by ensuring technical realism PoC Architecture & Validation Define measurable success criteria (latency, TTFT, throughput, cost envelope) Classify workload complexity and required optimization depth Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.) Drive structured Go / No-Go decisions Prevent uncontrolled customization or hidden R&D Pattern Recognition & Platform Leverage Identify recurring configuration patterns across customers Quantify demand for advanced optimizations (quantization, speculative decoding, etc.) Surface structured insights to Product and Engineering Help evolve platform capabilities based on real workload data We expect you to have: Deep understanding of AI inference systems and GPU-backed infrastructure Experience with LLM workloads and performance-sensitive environments Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM). Ability to reason about latency, throughput, cost, and architecture tradeoffs Strong customer presence with engineering-first organizations Comfort challenging assumptions and pushing back constructively Commercial awareness – you understand that engineering time is a strategic resource Preferred technical stack : Programming Languages– Python Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent API and Web Frameworks– FastAPI, Flask MLOps and DevOps tools– Kubernetes (K8s), Docker, Git Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) What success looks like : Strategic deals are technically sound before engineering engagement PoCs are clearly scoped and economically justified Engineering capacity is allocated predictably Conversion to production improves Customers view you as a trusted architectural advisor Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team of over 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. About the role We're looking for a Senior Content Marketing Manager to own the strategy, production, and performance of content that positions Xelix as the authoritative voice in AP automation and financial controls. This is a role for someone who can build the systems and scale to deliver content consistently — positioning Xelix as a credible category leader, earning trust with sophisticated buying committees, and driving measurable pipeline contribution. Working closely with the Head of Marketing, Product Marketing, and Demand Generation, you will own how Xelix shows up - setting the content strategy, building the engine, and driving delivery through smart use of AI, automation, and repurposing. The role spans two connected workstreams: Thought Leadership — podcast, executive and company LinkedIn, long-form assets including whitepapers, reports and guides, and PR spanning media relations, press coverage, and earned visibility through original research and executive bylines. Campaign Content — ABM-aligned assets, persona-mapped content, and content built to earn visibility across organic and AI-powered search. What you'll be doing · Build and own a scalable content engine - structured workflows, AI-assisted production, repurposing frameworks, and fast feedback loops — designed to grow in output and quality as Xelix scales · Own content performance metrics — share of voice, content-influenced pipeline, and engagement growth — using data to continuously improve what gets made and how it gets distributed · Own and drive Xelix's thought leadership programme — podcast, executive and company LinkedIn, long-form assets, and PR - establishing Xelix as the category-defining voice in AP automation and financial controls · Work closely with Product Marketing to ensure all content is grounded in Xelix's messaging framework, product positioning, and competitive narrative — maintaining consistency across every format and channel · Partner with Demand Generation to ensure content directly fuels integrated campaigns and pipeline programmes — with assets tailored to enterprise buying committees, key personas, and how buyers research and discover solutions today What you’ll bring · 7+ years in B2B content marketing, with a proven track record of building and scaling thought leadership programmes, owning content engines end-to-end, and creating content that drives category authority and commercial outcomes · Demonstrated ability to work with executives and subject matter experts to extract insight and turn it into compelling, authentic content · Fluency across the full content mix — long-form assets, social, podcast, PR and earned media, SEO, and AI search — with the judgement to know when and how to use each · A systems mindset: experience building scalable content workflows from the ground up, using AI tools, automation, and repurposing to maximise output without sacrificing quality · Deep understanding of enterprise buyer personas, buying committees, and how to create content that resonates across a complex, multi-stakeholder sales cycle · Confident working in a high-visibility, high-opinion environment — able to bring stakeholders on the journey early, land sign-off efficiently, and consistently deliver work that hits the mark without endless iteration Nice to have · Experience ghostwriting for founders or executives - matching their voice without losing authenticity · Experience commissioning or producing original research that has generated external citations or industry coverage · Experience in fintech, finance automation, or selling into CFO or finance leadership audiences · Hands-on experience with AI-assisted content production tools · Experience building or growing a B2B community through content What Success Looks Like · Xelix is recognised as an authoritative, credible voice in AP automation — earning attention, building community, and driving a measurable link between content and pipeline · A scalable, compounding content engine is in place — producing a consistent rhythm of high-quality content across formats, tracked against share of voice and engagement growth · Xelix earns consistent external coverage and citations through original research, executive bylines, and media relations — building credibility beyond owned channels · Content is mapped to enterprise personas and buying stages, directly enabling ABM programmes and giving Demand Generation and Sales a library of assets that accelerate pipeline · Xelix earns consistent visibility across organic and AI-powered search, and executive LinkedIn presence drives measurable engagement with target audiences What we offer in return 💰 Competitive salary of £55,000 - £78,000 depending on experience 🏝️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days 🏡 Hybrid working with two days a week from our dog-friendly Hoxton office and on-site gym 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time. We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking an experienced Threat Hunting Team Lead to join the Cyber Security organization, reporting to the Head of Proactive Security under the CISO. This role is responsible for leading the organization's proactive threat hunting program across Nebius's corporate IT environment, cloud platforms, and data center infrastructure. You will lead a team of threat hunters focused on identifying advanced threats, uncovering adversary activity before it becomes an incident, and continuously improving the organization's detection capabilities. The ideal candidate combines strong technical expertise with an attacker mindset and a passion for proactive defense. You will work closely with SOC, Incident Response, Threat Intelligence, Detection Engineering, and Security Engineering teams to identify emerging threats, develop hunting methodologies, and strengthen Nebius's overall cyber resilience. Your responsibilities will include: Lead and manage the Threat Hunting team, including mentoring, prioritization, and professional development. Define and execute the organization's proactive threat hunting strategy across corporate IT, cloud environments, and data center infrastructure. Lead hypothesis-driven threat hunting activities to identify advanced threats, persistence mechanisms, and malicious activity not detected by existing security controls. Develop and continuously improve threat hunting methodologies, playbooks, and operational procedures. Leverage threat intelligence, adversary TTPs, and MITRE ATT&CK to drive hunting campaigns and prioritize hunting efforts. Hunt across endpoint, identity, network, cloud, and application telemetry to identify suspicious behavior and indicators of compromise. Collaborate with SOC and Incident Response teams to validate findings, support investigations, and improve incident response capabilities. Partner with Detection Engineering to convert successful hunts into automated detections and improve security monitoring coverage. Work closely with Security Engineering and Infrastructure teams to identify security gaps and recommend improvements. Produce technical reports, executive summaries, and threat assessments for leadership and key stakeholders. Define KPIs and measure the effectiveness and maturity of the organization's threat hunting program. Stay current on emerging threat actors, attack techniques, AI-driven threats, and industry best practices, incorporating new knowledge into hunting operations. We expect you to have: 6+ years of experience in cyber security, with a strong focus on threat hunting, incident response, detection engineering, or SOC operations. 2+ years of experience leading technical security teams. Strong understanding of attacker methodologies, post-exploitation techniques, and modern cyber threats. Hands-on experience conducting hypothesis-driven threat hunting across endpoint, network, identity, and cloud environments. Deep knowledge of MITRE ATT&CK and adversary tactics, techniques, and procedures (TTPs). Experience working with EDR/XDR, SIEM, cloud security platforms, and threat intelligence sources. Experience investigating advanced persistent threats (APTs), ransomware, insider threats, and cloud-based attacks. Strong scripting or query skills (e.g., KQL, SPL, SQL, Python, PowerShell) for threat hunting and analysis. Strong analytical, investigative, and problem-solving skills. Excellent written and verbal communication skills in Hebrew and English. It will be an added bonus if you have: Experience hunting across AWS, GCP, or Azure cloud environments. Familiarity with large-scale enterprise, cloud-native, or AI infrastructure environments. Experience developing detection rules and behavioral analytics. Knowledge of malware analysis, digital forensics, or reverse engineering concepts. Experience with threat intelligence platforms and threat hunting frameworks. Relevant certifications such as GCFA, GCTI, GREM, GCIA, CISSP, or equivalent. BSc in Computer Science, Information Security, or a related field. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking an experienced Fraud Team Lead to join the Cyber Security organization, reporting to the Head of Detection & Response under the CISO. This role is responsible for leading the organization's Fraud & Insider Threat function, protecting Nebius, its employees, executives, customers, and brand from fraud-driven attacks and insider risks. You will lead a team responsible for identifying, investigating, and responding to fraud campaigns targeting the organization, including Business Email Compromise (BEC), executive impersonation, phishing, social media fraud, account takeovers, financial fraud, and insider threats. The role requires close collaboration with SOC, Threat Intelligence, IT, HR, Legal, Communications, and business stakeholders to proactively reduce fraud risk and strengthen organizational resilience. Your responsibilities will include: Lead and manage the Fraud & Insider Threat team, including mentoring, prioritization, and professional development. Define and execute the organization's fraud prevention and insider threat strategy, processes, and operational playbooks. Oversee investigations involving Business Email Compromise (BEC), executive impersonation, phishing campaigns, social engineering, financial fraud, and insider threat activities. Lead monitoring and response efforts for fraud targeting executives, employees, customers, and the Nebius brand. Investigate fraudulent domains, social media impersonation, fake websites, fraudulent mobile applications, and other brand abuse activities. Coordinate takedown efforts with external providers, registrars, social media platforms, and law enforcement when required. Develop fraud detection capabilities by leveraging threat intelligence, telemetry, and fraud monitoring tools. Collaborate with SOC and Threat Intelligence teams to identify emerging fraud campaigns and evolving attacker techniques. Partner with HR, Legal, Finance, Communications, and IT teams to investigate insider threats and fraud incidents while ensuring appropriate handling and confidentiality. Produce intelligence reports, risk assessments, and executive briefings on fraud trends, insider threats, and organizational exposure. Define KPIs and continuously improve fraud detection, investigation, and response processes. Drive awareness programs to educate employees and executives on phishing, social engineering, executive fraud, and insider threat risks. We expect you to have: 5+ years of experience in cyber security, fraud investigations, digital investigations, cyber intelligence, or incident response. 2+ years of experience leading technical or investigative teams. Strong understanding of Business Email Compromise (BEC), phishing, executive impersonation, social engineering, and financial fraud techniques. Experience investigating cyber-enabled fraud, insider threats, and digital abuse incidents. Familiarity with email security, identity systems, and enterprise collaboration platforms. Experience working with threat intelligence, OSINT, and digital investigation tools. Strong analytical, investigative, and problem-solving skills. Experience working cross-functionally with Security, HR, Legal, Finance, IT, and executive leadership. Excellent written and verbal communication skills in Hebrew and English. It will be an added bonus if you have: Experience with brand protection, digital risk protection (DRP), or external attack surface monitoring platforms. Familiarity with dark web monitoring, OSINT investigations, and threat intelligence platforms. Experience working with law enforcement or external fraud investigation organizations. Knowledge of insider threat methodologies and user behavior analytics (UBA/UEBA). Experience in SaaS, cloud-native, or enterprise environments. Relevant certifications such as CFE (Certified Fraud Examiner), GCFA, GCTI, CISSP, or equivalent. BSc in Computer Science, Information Security, Criminology, Intelligence, or a related field. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We're looking for a Senior Customer AI Engineer who will join our Token Factory team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure. This role sits at the intersection of engineering, delivery, and customer success – ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments . This role is NOT: A sales role (though you will support expansion through value) A pure support role (you won’t just react to tickets) A solution architect role (you won’t design systems from scratch) You’re welcome to work remotely from the United States . Your responsibilities will include: Own the production journey Lead the transition from PoC to production Ensure customer workloads are deployed, stable, and scalable Drive time-to-production and time-to-value Ensure technical success in production Understand customer architectures and use cases Monitor and improve: - performance (latency, throughput) - cost efficiency - reliability Identify and resolve bottlenecks proactively Act as a trusted technical partner Work directly with customer engineering teams Provide guidance on best practices and optimisation Translate technical challenges into actionable solutions Manage risks and incidents Act as a primary technical contact for production issues Coordinate with internal teams to resolve incidents Communicate clearly during high-pressure situations Drive continuous improvement Identify opportunities to optimise and expand usage Provide structured feedback to Product and Infrastructure teams Help shape better solutions based on real customer needs We expect you to have: Technical background Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar) Solid understanding of: - cloud or infrastructure systems - distributed systems or high-load applications - AI/ML workloads (LLMs, inference, etc.) is a strong plus Ability to troubleshoot and reason about system performance Customer-facing experience Experience working directly with technical customers (e.g. engineers, ML teams) Ability to communicate complex topics clearly and effectively Ownership & execution Strong sense of ownership – you drive outcomes, not just tasks Ability to manage multiple customers and priorities Structured, proactive, and solution-oriented mindset It will be an added bonus if you have: Experience with GPU workloads or AI infrastructure Background in solutions engineering, SRE, or technical support in B2B environments Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-DN1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $209,800 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

SpaceX is seeking highly motivated full life cycle recruiters to support Starlink manufacturing by driving high volume recruiting for complex manufacturing operations. Задачи: — Сourcing, screening, interviewing, and onboarding top talent candidates to fill mission critical positions. — Represent the company professionally and enthusiastically as candidates' first point of contact. — Collaborate in teams while showing initiative and autonomy to complete tasks. — Review internal and external applications, conduct passive candidate searches, interview candidates. — Act as a consultative recruiting partner to clients. — Understand role requirements and organizational fit. — Develop and execute strategies to maintain a strong pipeline of passive talent. — Maintain strong relationships with clients and candidates through clear communication. — Find creative ways to engage candidates during initial outreach. — Manage a high volume of clients and requisitions. Требования: — Bachelor’s degree and 1+ years recruiting experience; or associate degree and 2+ years; or 3+ years professional recruiting experience without degree. — Preferred: 2+ years high-volume recruiting, ideally in manufacturing. — Experience with in-house recruiting. — Experience recruiting skilled trades (technicians, electricians, facilities). — Strong tenure with demonstrated recruiting success. — Full life cycle recruiting experience. — Comfort reviewing and reporting recruiting data. — Ability to distinguish top talent. — Expertise in non-standard recruiting methods (cold calling, networking events, targeted sourcing campaigns). — Comfortable interfacing with hiring managers including director and VP level. — Ability to build strong relationships with hiring managers and candidates. — Ability to present candidates accurately without overselling. — Ability to multitask and work with little direction while being a team member. — Available to work extended hours and weekends as needed. — Must be onsite full-time in Bastrop, TX; no hybrid or remote work. — ITAR compliance: must be U.S. citizen, lawful permanent resident, refugee, asylee, or eligible for required authorizations. Условия: — On-site work in Bastrop, TX (Austin area). — Extended hours and weekends as needed. SpaceX is an Equal Opportunity Employer and employment is based on merit without discrimination. Applicants requiring accommodation can contact EEOCompliance@spacex.com.