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Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE Kit is growing, and so are the legal complexities of our business. We're looking for a Senior Legal Counsel to help us navigate them with clarity, speed, and commercial savvy. You'll serve as in-house legal subject matter expert, partnering closely with the executive team to lead product legal strategy and execution—especially around privacy, data, AI and compliance, commercial contracts, customer security requirements, and scalable legal support for our teams. A key focus will be helping Kit respond to a growing volume of privacy questions—particularly as one of our newer products, Subscriber Signals https://kit.com/features/signals, evolves by building practical, repeatable systems that provide timely and consistent guidance at scale. You'll help shape the legal backbone of a fast-moving tech company with multiple revenue streams—including SaaS, digital commerce, paid reccomendations, and advertising—and a rapidly growing platform for creators. To advise the business effectively, you'll develop a deep understanding of Kit, SparkLoop https://sparkloop.app/, Subscriber Signals, and how creators get value from our connected ecosystem of apps and tools. You'll be at the center of complex, cross-functional problems where product, business, and legal strategy meet—all in service of helping creators build more valuable businesses.   YOUR SUPPORT SYSTEM You'll report to our Chief Operating Officer, Brian Bevel https://www.linkedin.com/in/brian-bevel-92895ba/, and partner regularly with leaders across product, sales, finance, and people operations. You'll own our core legal work in-house, reduce the need for outside counsel, and know when specialized outside counsel is truly needed.   WHAT YOU'LL DO - First week: Get up to speed on our business model, current goals, and products. Learn about the product, SparkLoop, Subscriber Signals, and how creators get value from our connected ecosystem of apps and tools. Meet key internal stakeholders and our external counsel. Review our most common legal agreements, privacy questions, and customer security requests to assess where we have risk, opportunity, ambiguity, or recurring work that can be handled more efficiently. - First month: Get your arms around active data processing, privacy, AI, and other legal initiatives, and build a "what's on deck" view of upcoming legal needs. Map the recurring privacy support questions arising across Kit—particularly around Subscriber Signals, and begin designing a scalable intake, guidance, and escalation system. Partner with Sales, Sponsorships, Security, Product, and Engineering to move faster without cutting corners. Take ownership of GDPR and data compliance vetting and establish a clear process for responding to customer security questionnaires. - First six months: You’re the go-to partner for legal considerations across the business, particularly for our product, engineering, security, and GTM teams. Build scalable systems—such as playbooks, templates, intake processes, and self-service guidance—for answering recurring privacy, data-use, and compliance questions. Partner throughout the product lifecycle on initiatives and feature releases, with particular attention to Subscriber Signals and our connected ecosystem of products. Prioritize our biggest legal risks, reduce unnecessary reliance on outside counsel, and streamline legal workflows to increase speed, confidence, and self-service. - First year: Help Kit operate at a higher level of legal maturity across privacy, compliance, product counsel, commercial contracts, and security support. Establish durable systems that allow teams to answer common questions independently while escalating higher-risk matters appropriately. Help us treat privacy, data, and compliance as strategic enablers—not just boxes to check—and significantly reduce our reliance on outside counsel for work we can handle effectively in-house.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills - Deep expertise in data, compliance, and product—this is where you'll spend most of your time. - Strong ability to navigate U.S. and European data privacy laws (e.g., GDPR, CCPA), including familiarity with data controller vs. processor distinctions and how they shape vendor and product decisions. - Ability to translate privacy and compliance requirements into scalable playbooks, templates, intake processes, and self-service guidance - Experience supporting customer security questionnaires and partnering effectively with security, sales, product, and engineering teams - Familiarity with SOC 2 Type II and the legal, privacy, and customer requirements associated with it, even if you haven't directly owned a certification process - Understanding of intellectual property law, especially related to brand, content, and software - Understanding of commercial contracts—you'll become the go-to person for these at Kit. - Clear communicator and trusted advisor—able to simplify complexity and help others make informed decisions Experiences - Experience as in-house counsel at a tech company or serving a tech portfolio at a top-tier firm that's well-known for their work with startups (e.g., Fenwick & West, Cooley) - J.D. from an accredited law school in the United States - Active member in good standing of a State Bar Association Traits - Strategic thinker who sees legal as a lever, not a blocker - Deeply curious and business-oriented—you start by understanding the goals, then explore the smartest paths to get there. - Collaborative partner who can navigate conflict productively - Deep belief that creator success is our success—you consider both Kit and our customers in every recommendation - A "how might we" problem-solver who finds creative, business-aligned paths through legal challenges   WHAT WON'T SET YOU UP FOR SUCCESS - Needing a team of in-house peers or co-counsel to pressure-test every decision—you'll be our sole in-house legal expert, with outside counsel available as needed - A strongly risk-averse or "no-before-yes" mindset—we need you to help us move, not just stop us from tripping - Thinking in a legal vacuum—if you're not factoring in our goals, numbers, or creators, your advice won't land - Struggling with speed or ownership—if you prefer long timelines or wait to be told what to do, this won't be the right environment. We move quickly and expect people to take initiative, spot problems, and drive solutions.   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. For this role, we're looking for someone located in the United States.   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. This role is an individual contributor level 4 ($227,000) or 5 ($252,000). Our other perks and benefits include:   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,100 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Panel interview with cross functional stakeholders (60 min)   We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE Kit is growing, and so are the legal complexities of our business. We're looking for a Senior Legal Counsel to help us navigate them with clarity, speed, and commercial savvy. You'll serve as in-house legal subject matter expert, partnering closely with the executive team to lead product legal strategy and execution—especially around privacy, data, AI and compliance, commercial contracts, customer security requirements, and scalable legal support for our teams. A key focus will be helping Kit respond to a growing volume of privacy questions—particularly as one of our newer products, Subscriber Signals https://kit.com/features/signals, evolves by building practical, repeatable systems that provide timely and consistent guidance at scale. You'll help shape the legal backbone of a fast-moving tech company with multiple revenue streams—including SaaS, digital commerce, paid reccomendations, and advertising—and a rapidly growing platform for creators. To advise the business effectively, you'll develop a deep understanding of Kit, SparkLoop https://sparkloop.app/, Subscriber Signals, and how creators get value from our connected ecosystem of apps and tools. You'll be at the center of complex, cross-functional problems where product, business, and legal strategy meet—all in service of helping creators build more valuable businesses.   YOUR SUPPORT SYSTEM You'll report to our Chief Operating Officer, Brian Bevel https://www.linkedin.com/in/brian-bevel-92895ba/, and partner regularly with leaders across product, sales, finance, and people operations. You'll own our core legal work in-house, reduce the need for outside counsel, and know when specialized outside counsel is truly needed.   WHAT YOU'LL DO - First week: Get up to speed on our business model, current goals, and products. Learn about the product, SparkLoop, Subscriber Signals, and how creators get value from our connected ecosystem of apps and tools. Meet key internal stakeholders and our external counsel. Review our most common legal agreements, privacy questions, and customer security requests to assess where we have risk, opportunity, ambiguity, or recurring work that can be handled more efficiently. - First month: Get your arms around active data processing, privacy, AI, and other legal initiatives, and build a "what's on deck" view of upcoming legal needs. Map the recurring privacy support questions arising across Kit—particularly around Subscriber Signals, and begin designing a scalable intake, guidance, and escalation system. Partner with Sales, Sponsorships, Security, Product, and Engineering to move faster without cutting corners. Take ownership of GDPR and data compliance vetting and establish a clear process for responding to customer security questionnaires. - First six months: You’re the go-to partner for legal considerations across the business, particularly for our product, engineering, security, and GTM teams. Build scalable systems—such as playbooks, templates, intake processes, and self-service guidance—for answering recurring privacy, data-use, and compliance questions. Partner throughout the product lifecycle on initiatives and feature releases, with particular attention to Subscriber Signals and our connected ecosystem of products. Prioritize our biggest legal risks, reduce unnecessary reliance on outside counsel, and streamline legal workflows to increase speed, confidence, and self-service. - First year: Help Kit operate at a higher level of legal maturity across privacy, compliance, product counsel, commercial contracts, and security support. Establish durable systems that allow teams to answer common questions independently while escalating higher-risk matters appropriately. Help us treat privacy, data, and compliance as strategic enablers—not just boxes to check—and significantly reduce our reliance on outside counsel for work we can handle effectively in-house.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills - Deep expertise in data, compliance, and product—this is where you'll spend most of your time. - Strong ability to navigate U.S. and European data privacy laws (e.g., GDPR, CCPA), including familiarity with data controller vs. processor distinctions and how they shape vendor and product decisions. - Ability to translate privacy and compliance requirements into scalable playbooks, templates, intake processes, and self-service guidance - Experience supporting customer security questionnaires and partnering effectively with security, sales, product, and engineering teams - Familiarity with SOC 2 Type II and the legal, privacy, and customer requirements associated with it, even if you haven't directly owned a certification process - Understanding of intellectual property law, especially related to brand, content, and software - Understanding of commercial contracts—you'll become the go-to person for these at Kit. - Clear communicator and trusted advisor—able to simplify complexity and help others make informed decisions Experiences - Experience as in-house counsel at a tech company or serving a tech portfolio at a top-tier firm that's well-known for their work with startups (e.g., Fenwick & West, Cooley) - J.D. from an accredited law school in the United States - Active member in good standing of a State Bar Association Traits - Strategic thinker who sees legal as a lever, not a blocker - Deeply curious and business-oriented—you start by understanding the goals, then explore the smartest paths to get there. - Collaborative partner who can navigate conflict productively - Deep belief that creator success is our success—you consider both Kit and our customers in every recommendation - A "how might we" problem-solver who finds creative, business-aligned paths through legal challenges   WHAT WON'T SET YOU UP FOR SUCCESS - Needing a team of in-house peers or co-counsel to pressure-test every decision—you'll be our sole in-house legal expert, with outside counsel available as needed - A strongly risk-averse or "no-before-yes" mindset—we need you to help us move, not just stop us from tripping - Thinking in a legal vacuum—if you're not factoring in our goals, numbers, or creators, your advice won't land - Struggling with speed or ownership—if you prefer long timelines or wait to be told what to do, this won't be the right environment. We move quickly and expect people to take initiative, spot problems, and drive solutions.   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. For this role, we're looking for someone located in the United States.   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. This role is an individual contributor level 4 ($227,000) or 5 ($252,000). Our other perks and benefits include:   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,100 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Panel interview with cross functional stakeholders (60 min)   We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE Kit is growing, and so are the legal complexities of our business. We're looking for a Senior Legal Counsel to help us navigate them with clarity, speed, and commercial savvy. You'll serve as in-house legal subject matter expert, partnering closely with the executive team to lead product legal strategy and execution—especially around privacy, data, AI and compliance, commercial contracts, customer security requirements, and scalable legal support for our teams. A key focus will be helping Kit respond to a growing volume of privacy questions—particularly as one of our newer products, Subscriber Signals https://kit.com/features/signals, evolves by building practical, repeatable systems that provide timely and consistent guidance at scale. You'll help shape the legal backbone of a fast-moving tech company with multiple revenue streams—including SaaS, digital commerce, paid reccomendations, and advertising—and a rapidly growing platform for creators. To advise the business effectively, you'll develop a deep understanding of Kit, SparkLoop https://sparkloop.app/, Subscriber Signals, and how creators get value from our connected ecosystem of apps and tools. You'll be at the center of complex, cross-functional problems where product, business, and legal strategy meet—all in service of helping creators build more valuable businesses.   YOUR SUPPORT SYSTEM You'll report to our Chief Operating Officer, Brian Bevel https://www.linkedin.com/in/brian-bevel-92895ba/, and partner regularly with leaders across product, sales, finance, and people operations. You'll own our core legal work in-house, reduce the need for outside counsel, and know when specialized outside counsel is truly needed.   WHAT YOU'LL DO - First week: Get up to speed on our business model, current goals, and products. Learn about the product, SparkLoop, Subscriber Signals, and how creators get value from our connected ecosystem of apps and tools. Meet key internal stakeholders and our external counsel. Review our most common legal agreements, privacy questions, and customer security requests to assess where we have risk, opportunity, ambiguity, or recurring work that can be handled more efficiently. - First month: Get your arms around active data processing, privacy, AI, and other legal initiatives, and build a "what's on deck" view of upcoming legal needs. Map the recurring privacy support questions arising across Kit—particularly around Subscriber Signals, and begin designing a scalable intake, guidance, and escalation system. Partner with Sales, Sponsorships, Security, Product, and Engineering to move faster without cutting corners. Take ownership of GDPR and data compliance vetting and establish a clear process for responding to customer security questionnaires. - First six months: You’re the go-to partner for legal considerations across the business, particularly for our product, engineering, security, and GTM teams. Build scalable systems—such as playbooks, templates, intake processes, and self-service guidance—for answering recurring privacy, data-use, and compliance questions. Partner throughout the product lifecycle on initiatives and feature releases, with particular attention to Subscriber Signals and our connected ecosystem of products. Prioritize our biggest legal risks, reduce unnecessary reliance on outside counsel, and streamline legal workflows to increase speed, confidence, and self-service. - First year: Help Kit operate at a higher level of legal maturity across privacy, compliance, product counsel, commercial contracts, and security support. Establish durable systems that allow teams to answer common questions independently while escalating higher-risk matters appropriately. Help us treat privacy, data, and compliance as strategic enablers—not just boxes to check—and significantly reduce our reliance on outside counsel for work we can handle effectively in-house.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills - Deep expertise in data, compliance, and product—this is where you'll spend most of your time. - Strong ability to navigate U.S. and European data privacy laws (e.g., GDPR, CCPA), including familiarity with data controller vs. processor distinctions and how they shape vendor and product decisions. - Ability to translate privacy and compliance requirements into scalable playbooks, templates, intake processes, and self-service guidance - Experience supporting customer security questionnaires and partnering effectively with security, sales, product, and engineering teams - Familiarity with SOC 2 Type II and the legal, privacy, and customer requirements associated with it, even if you haven't directly owned a certification process - Understanding of intellectual property law, especially related to brand, content, and software - Understanding of commercial contracts—you'll become the go-to person for these at Kit. - Clear communicator and trusted advisor—able to simplify complexity and help others make informed decisions Experiences - Experience as in-house counsel at a tech company or serving a tech portfolio at a top-tier firm that's well-known for their work with startups (e.g., Fenwick & West, Cooley) - J.D. from an accredited law school in the United States - Active member in good standing of a State Bar Association Traits - Strategic thinker who sees legal as a lever, not a blocker - Deeply curious and business-oriented—you start by understanding the goals, then explore the smartest paths to get there. - Collaborative partner who can navigate conflict productively - Deep belief that creator success is our success—you consider both Kit and our customers in every recommendation - A "how might we" problem-solver who finds creative, business-aligned paths through legal challenges   WHAT WON'T SET YOU UP FOR SUCCESS - Needing a team of in-house peers or co-counsel to pressure-test every decision—you'll be our sole in-house legal expert, with outside counsel available as needed - A strongly risk-averse or "no-before-yes" mindset—we need you to help us move, not just stop us from tripping - Thinking in a legal vacuum—if you're not factoring in our goals, numbers, or creators, your advice won't land - Struggling with speed or ownership—if you prefer long timelines or wait to be told what to do, this won't be the right environment. We move quickly and expect people to take initiative, spot problems, and drive solutions.   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. For this role, we're looking for someone located in the United States.   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. This role is an individual contributor level 4 ($227,000) or 5 ($252,000). Our other perks and benefits include:   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,100 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Panel interview with cross functional stakeholders (60 min)   We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ABOUT THE GROWTH TEAM Growth Marketing at Alan covers a broad range of opportunities, including acquisition, segment and market growth, partnerships, content, experimentation, and international expansion. We are looking for adaptable marketers who can take ownership of a defined growth problem, learn quickly, and evolve as our priorities change. Concretely, our team works on missions such as: - Shape and scale the go-to-market of Prévenir, the new occupational health service operated by Alan - Crafting the go-to-market strategy for our different segments (e.g. retirees, freelancers, companies,...) - Developing our channels: scaling paid acquisition or growing our strategic partnerships, our referral strategy   YOUR MISSION As a Senior Growth Marketer, you will own broad and strategically important Growth outcomes. You will challenge the initial framing, make high-impact choices, and build scalable ways of working across teams, segments, or markets. WHAT YOU WILL DO - Own broad and strategically important Growth outcomes. - Challenge the initial framing of complex problems and identify the highest-leverage opportunities. - Connect Growth decisions to company objectives, market strategy, and long-term business impact. - Make explicit choices about where the organisation should and should not invest. - Build repeatable systems for insight, experimentation, measurement, and execution. - Influence senior stakeholders across teams, markets, and functions. - Anticipate second-order effects and create leverage beyond your own execution. - Raise the quality of Growth thinking and execution across the team. WHAT WE ARE LOOKING FOR - A strong track record of owning broad or strategically important Growth outcomes. - Experience making complex trade-offs across business priorities and stakeholder groups. - Ability to challenge the framing of a problem and identify systemic constraints. - Strong business judgment, including an understanding of economics, measurement, and long-term impact. - Experience building scalable systems, standards, or ways of working. - Ability to influence senior stakeholders without relying on formal authority. - Strong learning agility and comfort operating in complex, ambiguous environments. - Ability to create leverage beyond your individual execution and raise the quality of the surrounding team. - Advanced written and verbal communication skills in English For this opportunity, we are aiming to hire within the D-E level range https://app.notion.com/p/alaninsurance/Compensation-Alan-9a9fcf8b0cdf497a9c0ac89a11f048a3. 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work #LI-DNP

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 This position sits within Nebius Token Factory , our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning ( LoRA , full FT , RFT ) backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack. We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference and fine-tuning platforms for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement optimized inference workflows, build customized LLM-based solutions and architect scalable AI applications using our served models. You will also work closely with our backend team to improve our platform to match clients' needs. You’re welcome to work from Tel Aviv, Israel. Your responsibilities will include: Optimize LLM inference across various modalities to drive business value and support customer goals Provide support in supervised and reinforcement learning fine-tuning to maximize model quality for the customers Design and implement LLM-based solutions using Nebius Token Factory’s inference services Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models Provide technical expertise in prompt engineering, RAG architectures and model selection Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency We expect you to have: 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI Deep knowledge of the LLM ecosystem , including model architectures and fine-tuning approaches Hands-on experience with: Running LLMs in production : deploying and operating inference workloads LLM fine-tuning , including supervised fine-tuning (SFT/ LoRA ) and data preparation/curation; experience with RL -based fine-tuning is a strong plus LLM evaluation : building task-specific benchmarks and offline/online eval pipelines , including LLM-as-a-judge setups Inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers) Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models Strong Python programming skills Excellent communication skills , with the ability to clearly explain technical concepts to diverse audiences It would be an added bonus if you have: Work with multimodal AI models (e.g., vision-language, speech) Proficiency with DevOps tools (Docker, Kubernetes) Contributions to open-source ML/AI projects Preferred technical stack: Programming Languages: Python ML Frameworks and Libraries : vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs MLOps and DevOps tools : Kubernetes (K8s), Docker, Git Cloud Platforms : AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) #LI-DK1 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: Cyprus; United Kingdom; Poland; Estonia; Spain; Germany Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. About the Role Product decisions at Finom are made fast, and we want them made on evidence. You join the Growth & Activation product stream as its analyst, working with PMs and engineers on how new customers discover the product, start using it, and grow with it. There is no established way of doing product analytics here yet, so you define it: how experiments are designed, how metrics are named and counted, what a readout looks like. You come with your own approach rather than waiting for one to be handed to you. What you'll do Work with the product managers and other stakeholders in the stream. Agree priorities with them, and look for the problems worth solving instead of waiting for a request to arrive. Bring recommendations to the business, including opportunities it does not see on its own. Define the metrics for the stream: what activation means, what we expect from the funnel, how each number is counted, and how it stays consistent with the way the rest of the company counts the same things. Design the tests. Hypothesis, primary metric, audience split, duration, and how the result gets read once it lands. Automate that work, so running a test is routine and not a small project every time. Build the infrastructure for testing at scale, with external tools or our own, so a testing culture can spread across the product teams. What you bring Product analytics done end to end, with decisions that changed the roadmap behind it. Fluent in SQL, confident in Python, and solid on experimentation and causal methods/ You have chosen or built tooling for tests and metrics before. You use AI tools in your daily work, not occasionally. A partner to stakeholders rather than a person who executes tickets. Proactive, you bring the problems and the hypotheses yourself. You take an ambiguous problem, structure it, and explain your reasoning to product and business people. English at C1 or above Nice to have Product analytics built from scratch Experience where conversion volumes are low: B2B, long sales cycles, small samples. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Netherlands; Cyprus; United Kingdom; Poland; Estonia; Spain Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. About the Role Product decisions at Finom are made fast, and we want them made on evidence. You join the Growth & Activation product stream as its analyst, working with PMs and engineers on how new customers discover the product, start using it, and grow with it. There is no established way of doing product analytics here yet, so you define it: how experiments are designed, how metrics are named and counted, what a readout looks like. You come with your own approach rather than waiting for one to be handed to you. What you'll do Work with the product managers and other stakeholders in the stream. Agree priorities with them, and look for the problems worth solving instead of waiting for a request to arrive. Bring recommendations to the business, including opportunities it does not see on its own. Define the metrics for the stream: what activation means, what we expect from the funnel, how each number is counted, and how it stays consistent with the way the rest of the company counts the same things. Design the tests. Hypothesis, primary metric, audience split, duration, and how the result gets read once it lands. Automate that work, so running a test is routine and not a small project every time. Build the infrastructure for testing at scale, with external tools or our own, so a testing culture can spread across the product teams. What you bring Product analytics done end to end, with decisions that changed the roadmap behind it. Fluent in SQL, confident in Python, and solid on experimentation and causal methods/ You have chosen or built tooling for tests and metrics before. You use AI tools in your daily work, not occasionally. A partner to stakeholders rather than a person who executes tickets. Proactive, you bring the problems and the hypotheses yourself. You take an ambiguous problem, structure it, and explain your reasoning to product and business people. English at C1 or above Nice to have Product analytics built from scratch Experience where conversion volumes are low: B2B, long sales cycles, small samples. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. You'll join the Issuing Operations team in London and own the technical side of card issuing deals from first conversation to go-live. Pre-sale, you're front and centre: positioning our issuing platform, building custom card program flows, live demos, and POCs, and winning over the prospect's engineers, product leads, and payments architects while your Account Executive drives the commercial thread. Once the deal is ready, the weight shifts: our Implementation Engineers lead the build and you stay close, ensuring your issuing card program survives contact with reality. You'll work on a modern, fast-moving platform alongside passionate payments experts across commercial and operations teams. People who do well here are curious by default: they pull threads, teach themselves what the job needs next, and thrive in fast-paced commercial environments where they act before anyone asks. If that's how you work, you'll like it here. WHAT YOU WILL BE DOING - Drive Technical Deal Execution: Partner closely with Sales and Account Managers and the broader Issuing Operations team in high-velocity, high-stakes commercial environments to position Checkout.com http://Checkout.com’s card issuing platform, winning complex, multi-product deals. - Architect Card Issuing Solutions: Understand client requirements across card issuing (virtual and physical cards, funding approaches, balance management, interchange economics as examples) and map them to our APIs and operational workflows to create robust solution designs. - Build & Demonstrate: Run live technical demos, create POCs, and customise technical presentations for developer, operational, and executive audiences alike. - Provide Issuing Domain Leadership: Act as an expert on Card Issuing, Program Management, Authorisation & Settlement streams, Network Tokenisation, 3DS, Fraud/Risk Controls, and card program operations. - Lead Client Technical Interactions: Lead all technical discussions, from discovery calls and architecture workshops to operational readiness sessions, from first contact through go-live, collaborating closely with Implementation Engineers. - Support Complex Procurement (RFPs/RFIs): Support the BID management team on technical, operational, security, and card program design queries in RFP and RFI responses. - Voice of the Customer & Operational Feedback: Feed real-world program manager and developer feedback back to Product, Engineering, and Issuing Operations to champion card issuing feature enhancements and process improvements. - Industry & Technical Mastery: Maintain deep expertise on Checkout.com http://Checkout.com’s issuing platform and stay ahead of evolving card scheme rules, issuing infrastructure, and European payment regulations. - Full Lifecycle Technical Ownership: Equally comfortable wearing the hat of a pre-sales Solutions Engineer to win complex deals, and driving post-launch technical support, operational health, and incident resolution in production environments, fully owning the 360-degree client relationship from initial discovery through long-term delivery. ABOUT YOU EXPERIENCE - 5+ years in a high-velocity, client-facing technical role (Sales Engineer, Solutions Architect, Pre-Sales Consultant, Implementation Engineer, or Technical Account Manager) at a PSP, Card Issuer / Issuer, Processor, Fintech, or Payments company. - Proven track record operating directly in fast-paced commercial environments, managing competing deal priorities, and driving commercial momentum alongside sales and operations teams. - Mandatory UK & EEA Issuing Experience: Hands-on experience designing, launching, or supporting virtual and physical card programs within the UK and EEA regulatory and scheme landscapes. - Issuing Domain Knowledge: Expert understanding of card program mechanics, BIN ranges, issuer processing, and scheme compliance (Visa/Mastercard). - Payment Foundations: Strong grasp of end-to-end payment flows, 3DS, Network Tokenisation, Apple/Google Pay, Strong Customer Authentication (SCA), and fraud engine mechanics. TECHNICAL SKILLS - Coding Ability: You can code and are comfortable with web technologies. Proficiency in at least one front-end (JavaScript, React) or back-end language (Node.js, Python, Java, .NET, Go). - API & Debugging Mastery: Expert in API-based integrations (REST/JSON, Postman, Webhooks); able to build, reproduce, isolate, and explain technical issues using logs, API responses, and test environments. HOW YOU WORK - Exceptional Communicator: Clear written and verbal English; equally at home pitching to CTOs and lead architects as you are detailing unit economics and operational flows to CFOs, Operations leads, and C-level stakeholders. - Commercially Minded: You talk interchange, authorization rates, card program economics, and revenue impact, not just API endpoints, and proactively push opportunities through the sales funnel. - Highly Organised: Thrives under pressure with the ability to prioritise shifting workloads in a fast-moving, deal-driven environment. NICE TO HAVE - Global Issuing Experience: Exposure to launching card programs in global jurisdictions outside the UK/EEA (e.g., US, APAC, LATAM, MENA). - Background: Former software engineering, developer advocacy, or technical product management background. - Languages: Business fluency in an additional European language. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: United States; United States - Boston Office Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 CURIOUS TO SEE CLICKUP BRAIN IN ACTION? SKIP THE JD BELOW AND CHECK OUT THE ARTIFACT HERE https://333.clickup-stg.ai/a/h/ad-6998889/add87640c385be5. ClickUp is redefining the future of work with AI and our TA team is at the center of that mission. We're evolving how we hire, building toward a future where AI takes on more of the heavy lifting so our recruiters can invest more deeply in what matters most: a genuinely human experience. There's lot of work to be done and we want someone excited to help us build this.   We're betting that as we build more with AI, the human touch becomes increasingly important. That's why we want this leader based in New England to scale our Boston GTM hub with the kind of magic that only happens in person: hosting events, building talent community, and developing the relationships that make every GTM seller in Boston know our name before they're even looking. You're a player-coach who still loves the craft and is ready to multiply it.   In this Manager, Talent Acquisition role you lead a pod of recruiters, carry your own req load of quota-carrying GTM roles, and own hiring for a major slice of our sales org across multiple hiring managers and regions all while building the future with AI. As a function we've been focused on thinking big, building small, shipping fast. We want YOU to lead from the front and accelerate that for your pod, measuring what ships, not how many agents you launched.   THE ROLE: - Lead and coach your team. Run 1:1s, pipeline reviews, real-time feedback, own performance and career conversations, and set the bar on quality, speed, partnership, and candidate experience. - Be a player coach. Carry your own load of quota-carrying GTM roles at every level, intake to close. Your team learns the standard by watching how you operate. - Build for where we're going. Bring an AI-forward working style to your pod and solve for the future of recruiting, not stretching today's processes. Build in public, wins and failures. - Make Boston ClickUp's GTM talent hub. Write the talent community playbook, let agents supercharge outreach and planning, then show up in person through dinners, meetups, and brand activations. - Be a true partner. Deeply understand the partners you support so you can be a proactive, solutions forward partner. Be http://partner.Be the first stop for sales leaders and cross-functional partners when problems come up, with a proactive point of view on talent, territories, and competitors. - Run your pod on data. Own reporting and forecasting, know your funnel math cold, and be the source of truth for your pod's pipeline. QUALIFICATIONS: - Deep track record hiring quota-carrying sales and GTM roles in high-growth SaaS, including high-complexity searches. - Experience leading or managing recruiters while carrying your own reqs in a fast paced, ambiguous environment. - AI builder and evangelist. AI is part of how you work every day, and you've built agents, skills, and workflows your team actually adopted. - Strong GTM network (bonus for New England) and a track record building talent communities or events that generate pipeline. - Trusted partner to sales leaders and cross-functional partners who runs a flawless hiring process today while planning for what's next. - Strong data fluency, complex negotiation and pre-IPO equity expertise, and flawless ATS hygiene. - Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

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 Senior Research Manager to lead research efforts on weekends, supporting critical data collection windows for participant diversity and expanded access. This is a senior leadership role responsible for overseeing the operation of WHOOP Labs Boston during weekend hours, and will help shape weekend research and community fieldwork strategy. As a strategic partner, program leader, and people manager, you will build deep relationships across the research leadership team, drive operational excellence during weekend hours, and develop a high-performing team delivering rigorous, high-impact research.   *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 - Partner with the rest of the Human Subjects Research leadership team to build a research roadmap, understand study priorities, and ensure high quality data collection across team shifts. - Collaborate with the Community Engagement Lead and wider Lab Operations team to support on- and off-site community engagement initiatives, helping to diversify participants in the WHOOP Labs research panel. - Own operational oversight of weekend WHOOP Labs Boston operation including participant experience, research session execution, and documentation for handoffs. - Provide feedback on “off hours” operations, contributing to team retros, participant compliance meetings, and other forums for senior leadership insight. - Serve as a senior individual contributor on complex research initiatives while championing participant experience and best practices in human subjects research. - Manage, coach, and develop a team of researchers and coordinators, fostering strong research craft, operational discipline, cross-functional collaboration, accountability, and continuous improvement.   QUALIFICATIONS - Bachelor’s or Master’s degree in Human Factors, Biomedical Engineering, Psychology, Exercise Science, or a related field. - 5+ years of experience conducting research for consumer products, ideally within hardware, wearables, or health technology environments, with demonstrated experience bridging technical requirements and human subject research practices. - 3+ years of people management experience, including coaching, performance development, and team scaling. Leading shift-based work teams a plus. - Proven ability to build trusted relationships, influence without direct authority, and communicate effectively with senior stakeholders through written and verbal communications. - Strong technological fluency, including experience with data management systems and leveraging AI tools to improve operational efficiency while maintaining research rigor and quality standards. - Experience overseeing emergency action planning and drills, safety and security initiatives, and confidence in supporting unexpected events as senior staff on site. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.   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 $120,000 - $160,000. 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: Sydney, Australia About Blue Projects Blue Projects is a full service Design, Engineering, Project Management and Construction Management company with international experience delivering complex greenfield and brownfield developments for global blue-chip clients across retail, commercial and industrial sectors. We operate with a flexible, client focused approach, applying lean design and lean construction methodologies to ensure seamless cross discipline interface management and consistent quality. With a presence in 53+ countries and 26 offices, our teams have successfully delivered 500+ projects totaling more than €8 billion in value—combining hands on ownership with a culture that prizes safety, down to earth collaboration, and being “always deliver & pleasant to work with.” Deliver here. Grow here. We are seeking a hands-on Maintenance Fitter / Tradesperson for a site-based role at a busy food manufacturing facility in Sydney, NSW. You will support safe and reliable plant operations through planned preventive maintenance, breakdown repairs, corrective work and practical site improvements, working independently or as part of the maintenance team. Role Overview This role is based at a multi-storey food manufacturing site in NSW, with an anticipated start in early 2027 and engagement through Blue Projects. The work is varied and dynamic, moving between planned maintenance, reactive repairs, improvement tasks and general facility maintenance. The successful candidate will be a self-starter who takes ownership of each job and completes work safely and to a high standard without close supervision. Job Description Change pumps, mechanical seals and associated equipment. Install, run and modify pipework. Identify faults and complete mechanical repairs. Complete preventive maintenance and corrective PM02 work orders for the maintenance teams. Respond to equipment breakdowns and routine site maintenance requests. Carry out general maintenance and handyman tasks throughout the facility. Work safely at heights and across multiple levels of the plant. Follow site Good Manufacturing Practice, food safety and workplace safety requirements on every job, including permits and risk assessments. Leave all work areas clean, safe and ready for production. Qualifications Trade-qualified fitter or equivalent tradesperson with strong site experience. Self-motivated and able to take ownership of work from start to completion. Comfortable working independently and equally effective as part of a team. Willing to undertake challenging jobs and work overtime when required. Strong safety mindset with an understanding of Good Manufacturing Practice in a food manufacturing environment. Confident and competent when working at heights. Practical, adaptable and able to move between planned and reactive work. Reliable, punctual and well presented. Current working at heights ticket is required. Confined space, elevated work platform for scissor and boom lifts, and forklift tickets are well regarded. Previous experience in food manufacturing or another Good Manufacturing Practice-regulated site is advantageous. Completion of the site induction and compliance with all site safety, hygiene and personal protective equipment requirements are required. Additional Information Career growth & well being At Blue Projects, you’ll join a smart, open and communicative team with access to Online Learning Platforms, psychological and well being services, and an Employee Assistance Program. Benefits (country specific) Business health insurance coverage, access to sports and relaxation services, and performance based annual bonus; role appropriate equipment such as laptop, mobile phone, and data plan. Global mobility Opportunities for international assignments aligned to our Global Mobility Policy, with clear, equitable and standardized terms and conditions for short and long term engagements. Our culture We value safety, integrity, flexibility, and being great partners to our clients—operating with hands on ownership and a down to earth, high performance mindset. Inclusion & Equal Opportunity Blue Projects is committed to inclusion, dignity and respect, with zero tolerance for bullying, harassment or discrimination. We provide impartial support mechanisms and clear procedures to ensure a respectful workplace for all colleagues, contractors and agency workers. GDPR & confidentiality By applying, you consent to the use of your personal data strictly for recruitment purposes, in accordance with our GDPR practices; access is limited to authorized staff and handled confidentially. ________________________________________________________________________ About Blue Projects Formed in Romania in 2007, Blue Projects brings together dedicated and experienced engineers, architects and project managers with a track record of delivering complex, fast track developments worldwide. Our brand personality is dynamic and client oriented, focused on creating a memorable, meaningful and contemporary impact—supported by consistent standards and identity. ________________________________________________________________________ How to apply Please submit your CV. Shortlisted candidates will be contacted to discuss next steps.

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: 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. About the Role We are looking for a delivery-focused Security Operations Project Manager to join the Cyber Security PMO, reporting to the Head of PMO under the CISO. This is a dedicated, single-program role: you will own end-to-end delivery of the Global SOC Operation program one of the most strategically significant initiatives in the CISO organization. The program spans five major workstreams across SOC design, telemetry, detection, incident response, and continuous improvement. You will be the engine that keeps this program moving. What You Will Own You will be the single accountable PM for the Global SOC Operation program; responsible for driving execution, maintaining delivery momentum, and ensuring nothing falls through the cracks across a large, multi-workstream program. Execution and Delivery : own the end-to-end project lifecycle across all workstreams: from project initiation and planning through execution, validation, and formal closure. Ensure every workstream has a clear plan, named owners, realistic milestones, and a path to delivery. Planning and Tracking : build and maintain detailed project plans in Jira. Keep the program board accurate, up to date, and executive-ready at all times. Translate ambiguous objectives into structured, executable task hierarchies with clear ownership and sequencing. Dependency and Risk Management : identify and manage cross-workstream dependencies before they become blockers. Maintain a live RAID log, drive mitigations, and escalate critical risks with full context and a recommended course of action. Stakeholder Coordination : run structured governance across a wide range of stakeholders including SOC engineering, IT, Legal, Privacy, HR, Finance, and CISO leadership. Facilitate kickoffs, steering reviews, and milestone sign-offs. Navigate cross-functional friction, Privacy, Legal, Work Council; with persistence and structured escalation. Reporting and Visibility : produce concise, accurate status reporting for the Head of PMO and CISO. Surface progress, risks, decisions, and next steps in a format that enables fast, informed decision-making. What We Expect 4–6 years of hands-on project or program management experience with a strong delivery track record in complex, cross-functional technical environments. Proven ability to manage a large, multi-workstream program simultaneously. Deep Jira proficiency: task and epic management, board configuration, dashboards, reporting, and portfolio tracking. Strong project decomposition skills; able to take an ambiguous objective and break it into structured, executable workstreams with named owners and milestones. Proactive risk mindset: anticipates blockers, surfaces them early, and drives resolution without waiting to be directed. Strong written and verbal communication in both Hebrew and English, with confidence engaging global stakeholders. Technological orientation — able to understand SOC architecture, tooling stacks, and security workflows at a sufficient level to manage delivery and challenge estimates. Experience working within a SOC, CISO, or security operations environment; a must. Familiarity with SOC domains: SIEM, SOAR, detection engineering, threat hunting, DFIR, or incident management; a must. Nice to Have Knowledge of security frameworks such as NIST CSF, MITRE ATT&CK, or ISO 27001. Experience coordinating follow-the-sun or multi-region operational programs. Experience working with globally distributed teams in a high-growth technology or cloud infrastructure company. PMP, PRINCE2, or equivalent project management certification. What We Offer Ownership of one of the most strategically important programs in the Nebius security organization. Direct visibility to CISO leadership and real impact on how Nebius builds and operates its global SOC. A fast-moving, high-growth environment where you will build something from the ground up. A collaborative team with deep domain expertise across offensive security, SOC automation, CTI, and engineering. 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.

Develop and maintain backend services in Kotlin / Spring Boot; design and implement REST APIs and business logic;

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: Cyprus Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.