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Location: Virginia Beach, Virginia Workplace: OnSite We're Hiring: BCBA / BCaBA – Make a Lasting Impact in Virginia Beach, Virginia! 💰 Competitive Pay: $50-$75/hr, depending on experience 4 PM-6 PM in person Opportunity for Hybrid if you'd like more hours! Are you a Board Certified Behavior Analyst (BCBA) or Board Certified Assistant Behavior Analyst (BCaBA) with a passion for helping children thrive? Join a collaborative, mission-driven team where your skills and heart will change lives in the community. 🌟 WHAT YOU’LL DO As a BCBA or BCaBA on our team, you’ll play a vital role in delivering compassionate, evidence-based behavioral health services. Your responsibilities will include: - Conducting assessments and diagnostic evaluations for children with autism and developmental disabilities - Developing and implementing individualized behavior intervention and treatment plans - Providing one-on-one therapy and family support - Supervising and mentoring BTs/RBTs to ensure consistent, high-quality care - Collaborating with interdisciplinary teams to create well-rounded care solutions - Maintaining accurate and confidential documentation (HIPAA-compliant) - Staying informed on current research and best practices in behavioral health 🧠 WHAT YOU BRING We’re looking for team members who are not only qualified but genuinely care. - BCBA or BCaBA Certification - Master’s Degree in Applied Behavior Analysis or a related field - Experience working with children and individuals with autism or developmental disabilities - Strong clinical and interpersonal communication skills - Empathy, patience, and a commitment to client-centered care - Reliable transportation - Active CPR Certification (we'll help you get certified if needed) - Ability to pass a background check (required by funding sources) - Willingness and physical ability to work directly with children (lift up to 50 lbs, kneel, sit on the floor, etc.) 💼 WHY JOIN US? We know that when our team members thrive, our clients do too. Here’s how we support your growth and well-being: - 💰 Competitive Pay: $50-$75/hr, depending on experience - 🏥 Health, Dental, and Vision Insurance (Full-Time only) - 🕒 Flexible Scheduling - 🚗 Mileage Reimbursement - 📈 Career Growth: Performance-based raises, mentorship, and leadership opportunities - 📚 Ongoing Training: Access to CEUs and fieldwork supervision - 🤝 Supportive Leadership: We prioritize clinician well-being and value-driven, ethical care 📍 LOCATION This is an in-person position serving the Virginia Beach, Virginia area. Candidates must be willing to relocate prior to starting. 📅 JOB TYPE - Part-time (4-6 pm direct services with client) Ready to bring your clinical skills, creativity, and compassion to a team that values your growth? We’d love to meet you! ➡️ Submit your application and let’s talk about how you can be part of something meaningful. To protect our clients and their families, this position requires a background check. Successful candidates will receive a conditional offer of employment, with a final confirmation to start pending the satisfactory results of the screening. #FinniHealthBCBA

Location: Prague; Belgrade; Serbia - Remote; Cyprus - Remote; Limassol; Toronto; Canada - Remote Workplace: hybrid As the only company focused 100% on Java, Azul is building the Java platform for the modern cloud enterprise. We are reimagining how customers use Java, bringing them the tools and insight they need to deliver faster, more performant, more dependable, and less expensive Java services. Come join one of the most influential members of the Java and OpenJDK community and help influence the future of Java. Falcon is the optimizing just in time (JIT) compiler in Azul Platform Prime. It compiles hot Java bytecode into highly optimized machine code and delivers Java performance that standard JVMs do not reach. Falcon is built on LLVM. We are looking for a Senior Compiler Performance Engineer to own major performance areas of Falcon. This is not a compiler front end role and not a compiler built from scratch: Falcon is mature and runs in production at large enterprises. Your job is to push its generated code further, deciding which optimizations matter, designing them and delivering measurable speedups on real workloads. You will work in a distributed team of compiler experts, with direct influence on what Falcon optimizes next. What You Will Do Own performance of Falcon for a set of workloads or an optimization area end to end: analysis, design, implementation, validation Design and implement new optimizations and improve existing ones in the middle end and back end: inlining heuristics, loop optimizations, vectorization, escape analysis, speculation and deoptimization, GC barrier and runtime call optimization Drive code generation quality on x86_64 and AArch64, including bringing Falcon to new hardware platforms Investigate complex performance issues reported by customers and turn findings into compiler improvements Review code, mentor engineers on the team and raise the bar for performance methodology Minimum Requirements 5+ years of professional experience developing optimizing compilers or JIT compilers Strong C++ design and coding skills in large codebases Proven track record of delivering compiler optimizations with measurable performance impact Deep knowledge of compiler optimization theory and its practical tradeoffs: compile time, code size, correctness Strong performance analysis skills: profilers, hardware counters, reading and reasoning about generated assembly Nice to Have Significant experience with LLVM optimization passes or code generation; LLVM commit access is a plus Experience with JIT compilers for managed languages: HotSpot C2, Graal, V8, .NET RyuJIT or similar Deep knowledge of x86_64 and/or AArch64 microarchitecture Experience with JVM internals: garbage collection, deoptimization, profiling PhD in Computer Science or significant research experience in compilers What We Offer Opportunity to make a high impact at a growing, global company Work alongside top experts worldwide contributing to the Java ecosystem Referral Program — help us grow with great people Premium IT equipment — MacBook Pro or hardware of your choice Competitive paid holidays and sick time Flexible working hours Remote first OR Prague / Limassol / Belgrade city center offices OR hybrid - UP TO YOU! Competitive compensation

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for our first Senior/Lead Executive Recruiter . This role is critical in identifying and closing high-impact leadership and niche technical hires in a fast-scaling, high-performance organisation. You will operate as a trusted partner to hiring managers and leadership, driving complex, high-stakes searches end-to-end, often targeting passive talent in highly competitive markets. Executive search in robotics and manufacturing requires a research-led, network-driven approach due to the limited and highly specialized talent pool.   WHAT YOU'LL DO - Lead end-to-end executive and senior-level hiring across robotics, manufacturing, and operations functions - Own and deliver on highly complex and hard-to-fill roles, requiring deep market mapping and proactive headhunting - Partner closely with hiring managers and leadership teams to define role requirements, success profiles, and hiring strategies Design and execute innovative sourcing strategies, leveraging: - Executive search methodologies (retained-style, research-driven approaches) - Advanced sourcing techniques and modern AI tools - Deep industry networks and competitor mapping - Act as a lead closer, managing offer strategy, stakeholder alignment, and candidate negotiations Build and maintain a strong network of senior talent across robotics and manufacturing sectors - Provide market intelligence, including talent insights, compensation benchmarks, and competitor landscape - Champion a fast-paced, high-quality hiring process, ensuring speed without compromising candidate experience - Utilize tools such as ATS systems and LinkedIn Recruiter to drive efficient and data-driven hiring - Continuously stay on top of emerging technologies, hiring trends, and talent acquisition innovations WHAT WE'RE LOOKING FOR - Proven experience as a Senior / Lead Recruiter or Executive Search Consultant - Strong background in executive search (headhunting), with experience closing senior and leadership roles - Track record of closing complex, business-critical roles in competitive talent markets - Deep understanding of manufacturing and robotics ecosystems, including engineering and operations leadership roles - Strong ability to influence and partner with senior stakeholders - Expertise in direct sourcing, market mapping, and engaging passive candidates - Experience using modern recruitment tools, including ATS platforms and LinkedIn Recruiter - High ownership mindset with the ability to operate in a fast-paced, high-growth environment - Excellent communication, negotiation, and stakeholder management skills WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Kyiv; Remote (Ukraine) Workplace: Hybrid [https://app.ashbyhq.com/api/images/user-content/d5fc9a0c-9608-448b-b96f-2a4966f020bf/160b8b0f-7d40-4c02-9400-1b4fd1ada701/G_LINK_OWN_COVER_1.png] About us: Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team comprises over 350 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team. Our mission: Become a stepping stone on our customers’ journeys of self-improvement. Our values: - Deliver what matters - Respect and support others - Initiate and own - Voiceopenly - Execute with quality If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com http://gismart.com. About project: Spilio is a product that helps people grow through developing essential soft skills. We combine practical learning with thoughtfully curated ideas from powerful books. Spilio is designed for helping people become more confident, self-aware, and effective in their everyday lives. Requirements: - 1+ year of experience working with mobile applications - Knowledge of and hands-on experience with the latest AI tools (Kling, HeyGen, ElevenLabs, etc.) - Proficiency in Adobe After Effects - Basic knowledge of Adobe Illustrator, Photoshop, and Figma - A portfolio showcasing completed projects - Understanding of the basic principles of video editing and animation - Knowledge of Adobe After Effects plugins Would be a plus: - Experience conducting basic competitor research for creative ideas and references - Staying up to date with social media trends and continuously expanding visual awareness - Keeping up with emerging AI tools and exploring their potential for creative work Responsibilities - Design and animate performance-driven video creatives for Meta, TikTok, Google, AppLovin, and Snapchat - Collaborate with the Creative Producer and UA team on briefs, hypotheses, and rapid iterations - Adapt winning concepts into multiple variations: hooks, lengths, aspect ratios, languages, audiences - Edit footage (UGC, stock, screen captures, app gameplay) into polished, on-brand videos - Maintain visual consistency and quality at high cadence – multiple creatives per week - Use AI-powered tools to speed up production (image/video generation, voice synthesis, asset clean-up) where it makes sense - Stay current with motion trends and platform-native ad formats Employee Benefits: - Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs - Сoworking Compensation: We provide 100% compensation for coworking spaces in Ukraine (except Kyiv, where we have a cozy and autonomous hub) and 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace - Free Office Lunches:We want you to stay fueled and focused, so we provide delicious free lunches for everyone working from our hubs. It’s one less thing for you to worry about during a productive workday - Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year - 100% Sick Leave Compensation - Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, therapy costs - Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools - Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses - Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart - Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs

Location: GE; PL Workplace: remote Overview: SOFTSWISS is looking for SEO Team Lead to manage a team of SEO Specialists and Link Builders, drive the SEO function forward, oversee key performance indicators, and ensure sustainable growth in organic search visibility. Key responsibilities: Manage a team of SEO Specialists and Link Builders: plan workloads, delegate tasks, track progress, and ensure high-quality execution Participate in weekly sprint planning and assign tasks related to research, link building, web development, copywriting, and other SEO activities Coordinate SEO reporting and KPI tracking for the team and the Head of Content Marketing Regularly review, crawl, and audit company websites to maintain their technical health Monitor target keyword rankings and take action to maintain and improve search visibility Analyze competitor websites and share relevant insights with stakeholders Monitor major Google algorithm updates and keep the team informed about upcoming changes, risks, and action plans Lead the bi-weekly SEO Sync with the CMT, DMT, and R&A teams Participate in ad hoc research initiatives and special SEO projects Participate in the hiring and onboarding of new SEO Team members Improve team processes, cross-functional collaboration, and the overall effectiveness of SEO operations Required Experience: 5+ years of experience in SEO, up to 2 years of experience managing an SEO team Strong understanding of SEO and SEM principles Intermediate to advanced project management skills Strong analytical and problem-solving skills Hands-on experience with SEO tools such as Semrush, Ahrefs, SE Ranking or similar platforms Experience with project management tools such as Jira, Asana, Trello, or similar Experience with analytics and search tools, including GA4, Looker, and Google Search Console Basic knowledge of Google Ads and HTML Confident use of Google Workspace, including email and writing tools Knowledge of ChatGPT and Generative Search Experience principles is a plus Russian; English proficiency level B1 or higher. Nice to have: Relevant SEO certification Knowledge of additional languages: Spanish, Portuguese Experience working with WordPress. Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

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: Budapest Workplace: hybrid About Lyra Lyra Health is the leading provider of mental health solutions for employers supporting more than 20 million people globally. The company has delivered 13 million sessions of mental health care, published more than 20 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. Then role is to provide high quality and professional counselling and information support services to employees of client companies via telephone, live chat and structured counselling sessions. You will be responsible for the initial assessment of the client, clinical case management and all follow up administration activities.  This is a permanent hybrid position and the job holder will be based at home with onsite requirement every Monday, as a minimum, in the Lyra Hungary head office in Budapest.  The role is 40 hours per week, Monday to Friday. Key Responsibilities To provide the first point of contact for employees accessing Lyra Hungary services To provide all the services to which the caller is entitled to in a professional and respectful manner To accurately capture all information on the database pertinent to the clinical management of the case To adhere to all clinical protocols, procedures and operational standards as laid out by Lyra To keep abreast of developments within client organisations and with changes to service offerings To attend all relevant meetings, training and staff support groups To attend regular and scheduled counselling supervision with the external counselling supervisor Carry out any other relevant work related duties as required by the Clinical Lead. Qualifications Masters Psychology degree is essential Minimum of two years experience in counselling is preferred Postgraduate training for Expert Psychologists in Counselling would be an advantage Experience Experience working in an EAP environment will be an advantage, but not essential Experience of providing telephonic and live chat counselling and support About You Skilled in providing Solution Focused Therapy to clients. Must be able to undertake therapy in a minimum of two languages - Hungarian and English. Will have the ability to merge Clinical and EAP focus. Organised with the ability to plan and prioritise workload effectively. Continuous improvement mind-set – looking at opportunities to innovate & improve. Honest, loyal, and full of integrity. Takes ownership and is a pragmatic problem solver. Ability to ensure accuracy of data and maintain confidentiality, with high attention to detail. Excellent verbal and written communication. Ability to follow procedures accurately and record actions taken at all stages. Is passionate, enthusiastic, and excited about the opportunity, recognising where they can add value. Strong time management skills Flexible and adaptable to a fast-paced environment. Ability to work to deadlines and under pressure. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law. By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice."

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

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

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

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

Location: Kuala Lumpur, Malaysia; Indonesia; Singapore Workplace: fully We're Osome - an international fintech startup making the lives of entrepreneurs easier. We help thousands of businesses kick admin, accounting and bookkeeping out of their day-to-day, so they can spend more time on what's important to them. We've developed a unique solution that combines SaaS with a human-in-the-loop approach to provide full-fledged services in real-time. We’re experiencing rapid growth in both client base and team, which now comprises around 500 people across our offices worldwide. As we continue to scale, we’re looking for more bright minds who are excited to make a real impact by solving complex problems. What to expect: Intelligence builds the AI capabilities no single team at Osome should carry alone, and helps every other team ship AI well. It works in three modes. It owns cross-cutting capability. It enables product teams by pairing with their engineers, so the pattern transfers and the team runs it afterwards. It incubates only by exception: building inside another team's area when that team has no capacity, always with a written hand-back plan. This is a hands-on PM role. You'll find problems by talking to end users, dig into the data in BigQuery and Postgres to prioritise, prototype cheaply before committing engineering effort, and ship small fixes yourself. You'll also be the team's main liaison with Operations. At a glance You'd own: client and agent assistants (e.g. Maria, our client-facing bot, and the workflows it runs), document and accounting intelligence (e.g. document recognition, AI accounts review, our XBRL agent), and the shared AI foundation (evaluation and safety, memory, Osome MCP and model choices). You'd work with: five engineers, plus shared design and an analyst. Product teams across Osome and our operations teams are your customers. The problem to solve: AI is spreading across our teams faster than shared standards are. Your job is to stop every team reinventing evaluation, safety and memory, while our core AI products keep improving quarter on quarter. What you'll do: Own the Intelligence roadmap, OKRs and delivery, with two or three big bets each quarter. You make the prioritisation calls, own the business outcome behind the backlog, and write the release notes when things ship. Set the evaluation bar for AI across Osome: eval datasets, confidence thresholds, human-review sampling and go/no-go gates. With our Security team, set the safety and data-handling bar for AI across Osome: escalation rules, pre-action checks on agents, fail-open vs fail-closed behaviour, privacy and retention, client data isolation, and provider governance (e.g. zero data retention agreements). Define the success metrics for each AI product before it ships, then keep checking the data yourself after launch to see whether it's working. Brief the analyst on what to build, and review the result. Use that evidence to make model and provider calls, e.g. benchmark a new model against our own labelled documents before switching. Break epics into clear stories and tasks that engineers can pick up without a meeting. Pair with product teams' engineers to build AI features, and define what "successfully handed over" means. Be the team's liaison with Operations: run training and feedback rounds, collect baseline data, and drive adoption until the AI version beats the manual process. Run a small research track: test new techniques and approaches (e.g. retrieval, memory or agent patterns) on our own problems, and write up what we should adopt and what we should skip. Represent this team's priorities to senior stakeholders. As the team grows, mentor other PMs and help manage them. Who you are: Evaluated against our PM capability framework. At the Senior PM level, that means: Strategic impact: you can define and drive a strategy spanning 12 months or more for a platform-style team whose customers are other teams, tied to a company-level goal such as gross margin. Domain ownership: you own the OKRs, roadmap and business outcome of a complex, ambiguous, cross-functional area. You understand applied LLM/ML products deeply (evaluation, retrieval, memory, agent safety), and can become credible in our accounting and operations domain within two quarters. Collaboration: you drive high adoption of new tools with operations teams, including the processes needed to run them. You build consensus among senior leaders with conflicting goals, and you can say no while leaving the stakeholder feeling heard. Problem-solving: you map ambiguous, system-level problems, and know when a rule, a classifier or an LLM is the right tool. Execution: you reliably ship complex, cross-functional launches involving Operations and other product teams. You prototype to de-risk before committing engineering time, and you spot risks early. AI-literacy: hands-on well beyond prompting. You build prototypes and ship small PRs with AI coding tools, build eval datasets and run model experiments, read traces, and judge where models fail. Leadership: you shape direction across teams you don't manage, improve how the team works, and are ready to mentor at least one other PM as a player-coach. What you bring AI/ML features shipped to production, with quality measured after launch (accuracy, coverage, deflection). Experience building evaluation datasets and running model experiments: thresholds, go/no-go gates, human-in-the-loop decisions, and reading traces in an observability tool (we use Langfuse) to see where models fail. Experience shipping AI features that handle sensitive or financial data, and deciding when they should escalate to a human or stop. Daily use of AI coding tools (e.g. Claude Code, Codex, Cursor) to read code and ship small changes. Strong SQL. You can pick the right metrics for a product and explain what you need to an analyst. Data modelling is not required. Experience working directly with operations teams: running training, collecting feedback, and proving time saved against a manual baseline. A track record of good calls under ambiguity, and of checking afterwards whether they were right. (Nice to have) Setting company-wide safety and data-handling rules for AI: fail-open vs fail-closed policies, privacy and retention, and client data isolation, including knowing when a new AI vendor needs a security review before it sees any data. (Nice to have) Bookkeeping or accounting literacy: enough double-entry, chart-of-accounts and GST/VAT knowledge to judge whether an AI accounts review or document check is right. Either a qualification or hands-on bookkeeping experience counts. (Nice to have) Document AI/OCR in production: classifying or extracting invoices, bank statements and receipts, and the trade-offs between coverage, accuracy, confidence thresholds and cost. (Nice to have) Agentic systems or MCP in production: agents or tools that take real actions, with permissions, human approval steps and multi-step evaluation. Our Benefits Multi-cultural environment to enhance your global perspective. Learning opportunities and mentorship from peers and leaders. Flexible working arrangement; Hybrid working arrangement An agile working model focused on goals and performance. Equal Opportunity Statement At OSOME, creating a culture where individuals of all backgrounds feel comfortable really matters. Everyone who applies will receive fair consideration for employment. We do not discriminate based upon race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying. We want to ensure that we represent the diversity of talent in the society we live in today. If you have any accessibility requirements that would make you more comfortable during the application and interview process, please let us know so that we can support you.

Location: UAE Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for a highly motivated, self-starter Strategic Account Executive who is passionate about voice technology and how it is changing businesses. We don't just sell a product or custom-level solutions; we are partnering with our strategic enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will: - Build and manage a growing portfolio of strategic enterprise accounts in the UAE to help ElevenLabs meet its revenue goals. - Identify and develop high-value business opportunities that align with ElevenLabs' product offering and roadmap. - Generate leads, negotiate complex contracts and close sales in collaboration with the Growth team. - Be responsible for KPI and sales performance tracking, providing weekly updates to the wider ElevenLabs team. Who you are We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You'll strive with us if you: - Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech. - Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. - Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. - Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations. - Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside. What you bring - Proven track record of meeting & exceeding sales targets in a fast-paced environment, selling into large and strategic enterprises in the UAE - +10 years of previous experience in sales in a SaaS organisation, with experience managing strategic, complex, deal cycles. - Extensive experience working in the UAE - Expertise or willingness to learn everything about Voice AI industry and how ElevenLabs' solution can help. - Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization. - A hybrid of customer & product-driven mentality that prioritises client impact, satisfaction & scale. - The role is based in the UAE - Plus: Proficiency in Arabic. #LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: US Workplace: Remote ABOUT MORPHO Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.   WHY MORPHO EXISTS Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/. LOCATION   Remote - US (Washington, DC preferred)   ROLE   US regulatory engagement is Morpho's top legal priority. The SEC, CFTC, Treasury and FinCEN are writing the rules that will govern onchain lending, and the volume of rulemakings, requests for comment and staff engagement now exceeds what Legal can cover alongside its other work. Reporting to the General Counsel, this role owns Morpho's US policy pipeline end to end, from tracking rulemakings to drafting submissions and leading meetings with agency staff, Congress and industry coalitions.   RESPONSIBILITIES     - Track SEC, CFTC, Treasury and FinCEN rulemakings, guidance, staff statements and enforcement relevant to onchain lending, and maintain a live calendar of comment deadlines with a recommended posture for each.       - Lead the drafting of comment letters, responses to requests for comment and other written submissions, pulling in input from Protocol, Product, Research and outside counsel, and prepare them for General Counsel sign-off.       - Prepare and lead meetings with agency staff and commissioner offices, including briefing materials, talking points and follow-up submissions.       - Represent Morpho in trade association working groups and industry coalitions, and coordinate Morpho's input into joint filings.       - Engage congressional offices and committee staff on legislation and its implementation where it affects DeFi lending.       - Manage outside policy counsel and consultants day to day: scope, deliverables and spend.       - Brief leadership and product teams on US policy developments in short written updates, and flag implications for the protocol, products and external messaging.     WHAT SUCCESS LOOKS LIKE   FIRST 30 DAYS   You can explain Morpho Markets, Morpho Vaults and the role of curators accurately to a non-technical regulator. You have built a tracker of open SEC, CFTC, Treasury and FinCEN items with a recommended posture for each, joined the relevant working groups, and contributed to at least one live comment letter or coalition submission.   FIRST 3 MONTHS   You own the comment pipeline end to end: first drafts reach the General Counsel on schedule with no missed deadlines. You have prepared and led at least two agency meetings, send a short monthly US policy update to leadership, and have working relationships with staff at the SEC, the CFTC and key congressional offices.   FIRST 6 MONTHS   Agency staff and coalition partners treat Morpho as a credible, technical voice on DeFi lending, and Morpho's positions show up in coalition filings and, where possible, in staff guidance or final rules. Outside counsel runs against clear deliverables and within budget, and you have drafted a 2027 US policy plan for General Counsel approval.   MUST HAVE SKILLS & EXPERIENCE     - 5 to 8 years working on SEC or CFTC matters, at an agency, in a law firm regulatory practice, at a trade association or on an in-house regulatory or policy team. Prior SEC or CFTC staff experience is strongly preferred.       - Strong working knowledge of federal securities and commodities law and of the rulemaking process: notice and comment, staff guidance, no-action and exemptive relief.       - Excellent writing, with comment letters, regulatory submissions or similar work product to show for it.       - Existing relationships with agency staff, congressional staff or industry coalitions.       - Able to learn how onchain lending works and explain it clearly and accurately to a non-technical audience.       - Sound judgment on when to escalate, and comfortable preparing positions for sign-off rather than setting them alone.       - Strong ownership and autonomy: doesn't wait to be told.       - Clear and crisp async communication across a team split between Paris, New York and DC.       - Comfort operating in fast-changing, ambiguous contexts.       - Team-first mindset, low ego. PERKS & BENEFITS We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.   EQUAL OPPORTUNITY We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.

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