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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 $2,280 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 $2,280 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 $2,280 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: Georgia - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Mission We are looking for a true leader who will manage DevOps and Infrastructure teams to improve, and maintain the technical infrastructure required to support the development, deployment, and operation of Smartcat. This includes ensuring the availability, scalability, and reliability of staging and production environments, and defining and enforcing best SRE and DevOps practices. Outcomes Zero Incorrect Release-Related Production Issues: Enforce rigorous CI/CD testing and reviews to eliminate release errors. CI/CD and Staging Servers Availability at 99.9%: Maintain robust staging infrastructure with minimal downtime, ensuring a 99.9% uptime. Product Availability at 99.99%: Implement resilient systems and procedures for near-perfect product uptime, with effective disaster recovery plans. Decrease Lead time by accelerating CI/CD pipelines and environments Build and manage a team of A+ players within the engineering organisation across different regions and time zones. You are expected to strengthen the hiring process, provide expert technical guidance, effective coaching, and career development for your team members Requirements 3 years of experience leading a team in a fast-growing multinational IT business; 5 years of experience in DevOps and SRE, maintaining high-RPS (Requests Per Second) distributed products; Utilize a data-driven approach. Ability to justify decisions using concrete metrics; Can build relationships with neighboring teams, initiate and adhere to agreements, and act as an interface between your team and the environment; Strong hands-on experience with DevOps practices (in a leading role), specifically in building complex CI/CD pipelines, implementing IaC (Infrastructure as Code), and realizing various deployment strategies; Experience in implementing secure development environments; Possess practical experience in developing and maintaining large scalable applications in the cloud (AWS, Azure, GCP); Tech Stack .Net Core, MongoDB, Vue 2/3, AWS, Kafka, ES, Gitlab CI, Prometheus, Victoria Metrics, Jaeger, k8s Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: Portugal - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Mission We are looking for a true leader who will manage DevOps and Infrastructure teams to improve, and maintain the technical infrastructure required to support the development, deployment, and operation of Smartcat. This includes ensuring the availability, scalability, and reliability of staging and production environments, and defining and enforcing best SRE and DevOps practices. Outcomes Zero Incorrect Release-Related Production Issues: Enforce rigorous CI/CD testing and reviews to eliminate release errors. CI/CD and Staging Servers Availability at 99.9%: Maintain robust staging infrastructure with minimal downtime, ensuring a 99.9% uptime. Product Availability at 99.99%: Implement resilient systems and procedures for near-perfect product uptime, with effective disaster recovery plans. Decrease Lead time by accelerating CI/CD pipelines and environments Build and manage a team of A+ players within the engineering organisation across different regions and time zones. You are expected to strengthen the hiring process, provide expert technical guidance, effective coaching, and career development for your team members Requirements 3 years of experience leading a team in a fast-growing multinational IT business; 5 years of experience in DevOps and SRE, maintaining high-RPS (Requests Per Second) distributed products; Utilize a data-driven approach. Ability to justify decisions using concrete metrics; Can build relationships with neighboring teams, initiate and adhere to agreements, and act as an interface between your team and the environment; Strong hands-on experience with DevOps practices (in a leading role), specifically in building complex CI/CD pipelines, implementing IaC (Infrastructure as Code), and realizing various deployment strategies; Experience in implementing secure development environments; Possess practical experience in developing and maintaining large scalable applications in the cloud (AWS, Azure, GCP); Tech Stack .Net Core, MongoDB, Vue 2/3, AWS, Kafka, ES, Gitlab CI, Prometheus, Victoria Metrics, Jaeger, k8s Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: L'viv, Ukraine; Kyiv, Ukraine; Cracow, Poland Workplace: hybrid About us: EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 200 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1000 passionate individuals spread across twelve countries in Europe, Asia, and the US, we're all united by our love for innovation and teamwork. EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association . In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification . EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for a passionate and dedicated Middle Business Analyst to join our team in Lviv! What You'll get to do: Collaborate with various departments to ensure seamless integration of processes and systems. Analyze and define requirements for player bonus schemes, ensuring they align with business objectives and regulatory standards. Work closely with project stakeholders to gather and document requirements, and to develop effective business solutions. Facilitate communication between technical teams and other departments to ensure clear understanding and implementation of requirements. Create and maintain detailed project documentation, including process flows, functional specifications, and user stories. Participate in the development and refinement of business processes and system improvements. Assist in the monitoring and reporting of project progress, and in addressing any issues that may arise. What you need to know: At least 4 years of experience as a Business Analyst, preferably in the iGaming industry or a related field. Experience in managing projects related to system integrations and player bonus systems. Strong ability to create and interpret UML diagrams and wireframes. Proven ability to create and interpret BPMN diagrams, process flowcharts, and process mapping documentation. Experience with AI-driven process automation and optimization. Ability to lead the design of new business processes. Experience facilitating discovery meetings and workshops with subject matter experts and stakeholders across departments. Ability to interpret complex data and business metrics and communicate insights to relevant stakeholders. Experience creating and maintaining detailed process documentation, including process flows, procedures, and policies. Proficiency in preparing and delivering presentations. Solid understanding of business process and system requirements methodologies. Excellent analytical, problem-solving, and communication skills. Fluency in English, both written and spoken. Ability to work effectively in a team and independently. Here's what we offer: Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us. 3 sick leave days per year, no doctor's note required; 30 medical leave days with medical allowance Hybrid work schedule is available after the first three months of employment with 80/20 office/home format until the end of 2026. Starting from 2027, the policy will transition to primarily office-based work, with up to 10 work-from-home days per year with manager approval. Benefit from two Free Fridays each year, limited to one per quarter. Daily catered lunch or monthly lunch allowance. Private Medical Subscription. Access online learning platforms like Udemy for Business, LinkedIn Learning or O’Reilly, and a budget for external training. Gym allowance. Corporate English lessons. Support for New Parents: 21 weeks of paid maternity leave, with the flexibility to work from home full-time until your child turns 1 year old. 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old. Our office perks include on-site massages and frequent team-building activities in various locations. At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!

Location: L'viv, Ukraine Workplace: hybrid About us: EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 200 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1000 passionate individuals spread across twelve countries in Europe, Asia, and the US, we're all united by our love for innovation and teamwork. EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association . In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification . EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for a passionate and dedicated Junior QA Engineer to join our team in Lviv! What You'll get to do: Design, maintain, and execute test cases for APIs, web, and mobile applications. Perform functional, regression, and integration testing across services and applications. Work with API testing tools (Postman, REST Assured, or similar) to validate endpoints, requests, and responses. Apply basic OOP concepts when writing or maintaining automated tests. Execute manual testing for web and mobile apps (UI/UX, cross-browser, cross-platform). Participate in bug reporting, verification, and tracking in tools like Jira or Azure DevOps. Collaborate closely with developers to clarify requirements and reproduce issues. Support the QA team in building automation coverage and integrating tests into CI/CD pipelines. Contribute to QA documentation: test plans, test reports, and checklists. What You need to know: Practical experience with API testing. 0.5 - 1 year of hands-on experience in web testing (desktop & responsive) and mobile app testing (iOS/Android). Knowledge of HTTP, JSON, XML, and authentication methods (OAuth, JWT, API keys). Hands-on experience in web testing (desktop & responsive) and mobile app testing (iOS/Android). Familiarity with at least one programming or scripting language. Understanding of basic OOP principles (inheritance, encapsulation, abstraction, polymorphism). Experience with bug tracking and test management tools (Jira, TestRail). Good communication skills and ability to work in a cross-functional team. Here's what we offer: Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us. 3 sick leave days per year, no doctor's note required; 30 medical leave days with medical allowance Hybrid work schedule is available after the first three months of employment with 80/20 office/home format until the end of 2026. Starting from 2027, the policy will transition to primarily office-based work, with up to 10 work-from-home days per year with manager approval. Benefit from two Free Fridays each year, limited to one per quarter. Daily catered lunch or monthly lunch allowance. Private Medical Subscription. Access online learning platforms like Udemy for Business, LinkedIn Learning or O’Reilly, and a budget for external training. Gym allowance. Corporate English lessons. Support for New Parents: 21 weeks of paid maternity leave, with the flexibility to work from home full-time until your child turns 1 year old. 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old. Our office perks include on-site massages and frequent team-building activities in various locations. At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!

Задачи: — запускати та масштабувати UAC-кампанії — тестувати нові гіпотези — контролювати та оптимізувати ключові метрики — аналізувати результати та працювати з цифрами — формувати ТЗ для креативної команди — вести звітність Требования: — від 1 року досвіду заливу UAC-трафіку на gambling — актуальні кейси / статистика за останні 3 місяці — досвід клоакінгу — готовність детально розповісти про свої кейси — англійська A2+ Умови: — власні застосунки — оффери під усі GEO — бюджети без обмежень при позитивному ROI — можливість професійного та фінансового росту до Team Lead

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview Harvey's Custom Solutions team builds tailored AI tools for leading strategic customers. The team scopes, designs and implements custom agents, playbooks and prompts to address high-priority use cases. Each solution is built around a customer's specific needs and stored in its Harvey instance for scalable access across the organization. Team members have opportunities to travel onsite and build relationships with senior stakeholders to support the rollout of these tools. They also partner with Harvey's Go-to-Market and Product teams to advance the platform by gathering feedback, surfacing opportunities and piloting features. What You'll Do - Establish a clear understanding of Harvey's platform and the process for building solutions (you're not expected to be a platform expert on day one, but you should be interested in becoming one). - Scope, design and build custom agents, playbooks and prompts for key strategic customers. - Build strong relationships with senior stakeholders to understand their requirements, map their processes and turn needs into working solutions. - Prototype, test and iterate, including piloting Harvey features prior to general release. - Communicate market feedback to Product and Engineering, surfacing the opportunities for enhancements that will be most impactful. - Partner with Harvey's other Legal Engineering and Go-to-Market teams to deliver measurable growth. - Create and maintain reusable assets, capturing best practices to speed up future deployments. What You Have - Qualified lawyer in England & Wales - 3+ years of experience as a practicing lawyer at a top-tier firm and/or in-house legal team. - Curiosity about testing various approaches, evaluating deliverable quality and optimizing for customer outcomes and experience. - Strong communication skills and a track record of partnering with senior stakeholders to drive results. - Interest in driving positive change in the legal industry through AI. - Experience using AI tools in legal practice is a plus. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-LM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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

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

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

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

Location: Lisbon Build with us Businesses deserve better from finance. Less friction, more freedom. Since 2004, Mollie has been on a mission to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies trust our all-in-one platform to get paid, manage money and grow on their terms. Simple, scalable and built with real businesses in mind. We're one of Europe's fastest-growing fintechs, with 900+ Mollies across 12+ locations. Our people make this growth possible. We move fast, build with purpose and care deeply about our customers. Whether you're solving problems, building market-leading products or exploring how AI can make work smarter, you'll have the freedom to create and the trust to deliver. If you're ready to grow, shape the future of fintech and join an ambitious, high-performing team, this is the place for you. Your impact This is a critical, customer-obsessed role at the frontline of Mollie's mission. You'll be the first point of contact for our merchants, ensuring they get the excellent support they need to succeed and grow. Your impact is immediate: you help make our customers proud to work with us by providing outstanding, proactive service. You'll do more than just answer questions - you'll be the voice of the customer, using their feedback to drive real, innovative changes within Mollie. This role is about listening, solving problems fast, and making a direct contribution to the customer experience. Join a new and growing team in Lisbon to own the success of our growing merchant base. What you'll ship - Act as the first point of contact across live chat, email, and phone to resolve customer inquiries quickly and effectively. - Proactively advise customers on Mollie products that fit their activities and help boost their online and offline presence and revenue. - Contribute to improving the customer experience by providing actionable feedback and proposing innovative solutions to internal teams. - Listen closely to customer feedback and challenges to align our support efforts with Mollie's mission of being customer-obsessed. What you'll bring - Fluent in English. Any other language is nice to have. - Available to work fulltime, including weekend shifts in a hybrid setup (Please note that for the first 2 months, we require you to work from our office in Lisbon from 08:00-17:00 or 09:00-18:00 on weekdays). - At least 1 year of experience in (customer) support - Ability to easily adapt to changing environments and quickly grasp new information and processes. - A fast learner who can take on complex problems and rapidly find solutions. - An easy communicator with a knack for clarifying complex topics and maintaining a human connection. Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below. Want a peek behind the scenes? Check out what life at Mollie https://jobs.mollie.com is really like. AI at Mollie We believe in Always Be Shipping, and AI https://jobs.mollie.com/ai-manifestobrings that philosophy to life across every team, every role, every day. AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.

Location: Poland Workplace: remote Creatio is one of the fastest-growing AI software companies, with quarterly bookings reaching 255% of prior-year results, reflecting strong enterprise demand for AI CRM and workflow automation.With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a  Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for a Regional Marketing Manager, you’ll act as the primary driver to execute integrated marketing campaigns that support the various business goals identified in our annual operating plan. You will be responsible for ideating, facilitating, and executing campaigns that drive demand generation and increase brand recognition for our market-leading technology solutions You should be a strong team player with excellent communication skills, eager to learn and grow, and ready to make an impact from day one. Most importantly, we’re looking for individuals who share our values, believe in collaboration, and want to be part of a workplace where creativity, accountability, and ambition are celebrated.The role is based in Warsaw, Poland.Responsibilities:Planning, creating and executing high-performing marketing programs.Support and align with the sales team’s priorities and focus on driving pipeline.Understand and deploy different strategies and plans to reach new prospects and drive opportunities expansion.Orchestrate multichannel campaigns, leveraging channels and tactics such as digital, social media, web, virtual and in-person events, external exhibitions, email and collaboration with 3rd party agencies. Also, support and execute account-based strategies and programs.Plan, coordinate, and deliver complex marketing initiatives, ensuring effective cross-functional collaboration to achieve business objectives.Set goals and define metrics for each marketing campaign, including lead generation, conversion rates, and pipeline impact.Track and analyze campaign performance, conduct post-campaign evaluations, and provide insights and recommendations to continuously optimize future marketing initiatives.Requirements:3+ years of B2B marketing experience.Fluency in written and conversational English.Strong campaign orchestration and experience working with cross-functional teamsHands-on experience prioritizing running multiple initiatives, campaigns, and deliverables simultaneously.Self-motivated, who can work independently and proactively to resolve issues and take ownership of tools and processes with minimal supervision.It would be a big plus if you have:Marketing experience in SaaS or enterprise software.Experience planning and executing marketing initiatives around large-scale industry conferences and external events.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

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