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Location: Yerevan, Armenia Description We are seeking an experienced Senior Business Data Analyst to lead analytical initiatives within our Partner Performance Analytics Team. This role plays a critical part in driving partner success through advanced business analysis, strategic recommendations, performance optimization, and cross-functional collaboration. The successful candidate will act as a trusted business partner for senior stakeholders, helping shape strategic decisions through data-driven insights and deep understanding of the iGaming business ecosystem. Responsibilities Lead analysis of partner performance, profitability, retention, and business growth opportunities Own and continuously improve the analytical framework used to evaluate partner success Analyze the effectiveness and ROI of bonus campaigns, promotional mechanics, loyalty initiatives, and retention activities Identify business risks, performance bottlenecks, and emerging trends across partner portfolios Deliver strategic recommendations that improve partner engagement, player value, retention, and profitability Design and develop advanced dashboards, KPI frameworks, and performance monitoring systems Conduct deep-dive investigations into business issues and provide root-cause analysis Support senior management with decision-making through analytical insights and business cases Mentor junior analysts and contribute to the development of analytical standards within the team Requirements 4+ years of experience in Business Analytics, Commercial Analytics, Business Intelligence, Performance Analytics, or related fields Strong experience within iGaming, Sportsbook, Online Casino, or Retention Analytics environments Advanced SQL expertise Advanced proficiency in Power BI Strong experience with KPI design, performance measurement, forecasting, and business performance management Proven ability to transform analytical findings into strategic business recommendations Experience working directly with senior stakeholders and decision-makers Strong understanding of business drivers, profitability metrics, and customer lifecycle analytics Upper-Intermediate or higher English level Deep understanding of iGaming KPIs including GGR, NGR, Bonus Cost, Retention, Churn, ARPU, ARPPU, LTV, CPA, ROI, and Player Segmentation Experience with predictive analytics, forecasting, and statistical modeling Knowledge of Python is a plus Experience leading analytical initiatives or mentoring analysts Excellent communication and presentation skills Ability to explain complex analytical findings to non-technical audiences Ability to challenge assumptions and drive data-driven decision-making Strong business partnering mindset

Location: Remote; New York (Hybrid) Workplace: Remote Category Labs (formerly known as Monad Labs) is a team of systems engineers and researchers on a mission to design and build at the frontier of decentralized technology. We strive to deliver significant improvements over existing blockchain solutions. After raising $225M in series A funding, led by Paradigm, we are growing our team. We’re the team behind Monad, a high-performance, EVM-compatible Layer 1 whose public mainnet is now live. We write the core software that runs it: a parallel-execution EVM https://github.com/category-labs/monad, a custom state database, and a BFT consensus client https://github.com/category-labs/monad-bft, all developed in the open. THE ROLE We are looking for an exceptional compiler engineer to work on challenging greenfield projects that accelerate bytecode execution. For example, you will you will work on a bytecode execution graph builder which will enable speculative pre-execution of potential control flow paths. Your work will require intensive research and engineering and will help accelerate a platform securing billions of dollars in value. Experience with crypto is not expected. WHAT YOU WILL DO - Work on greenfield performance-oriented projects in a fast-moving startup environment - Research ideas for accelerating EVM bytecode execution - Design and implement performant production systems WHO YOU ARE - Proven track record in compiler design and system architecture - Strong background in software engineering principles principles - Experience with industry-standard compiler technologies - Good understanding of testing and benchmarking - Industry and/or academic experience working on compilers for parallel architectures - Strong C++ programming skills - Knowledge of type theory is a plus WHY WORK WITH US - Challenging problems: You’ll work on extremely challenging problems with massive impact. See our Blogs https://www.category.xyz/blogs and Publications & Talks https://www.category.xyz/papers-talks for a flavor of the problems we are solving in the real world. - Huge opportunity: The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are very slow. Monad’s core innovations offer developers the best of both worlds (portability and performance) and are a game-changer for mass user adoption in crypto. - The right team: You’ll be part of a small, exceptional team (engineers and researchers make up 90% of the team). - Open by default: Our core software is public on GitHub. You’ll build in the open, and your work ships where the whole ecosystem can see it. - Culture: We’re a lean team working together to achieve very ambitious goals. We are united in our culture of collaboration, low ego, and high-quality output. As an early member of our team, you’ll help to shape our culture. - Compensation: You’ll receive a competitive salary and equity package. - Resources and growth: We’re well-capitalized, with backing https://x.com/monad_xyz/status/1777687376136982767 from leading venture funds like Paradigm, Electric Capital, Greenoaks, Dragonfly, and Coinbase Ventures. We keep a lean team, and this is a rare opportunity to join. You’ll learn a lot and grow as our company scales. HOW WE USE AI We’re an AI-native team, and we expect engineers to use coding agents and keep up as the tooling evolves. A few things we believe: - AI is leverage, not a crutch. Review what it generates with the same scrutiny you’d give a teammate’s PR, and own every line you ship. - Judgment is what matters, not how long you typed by hand. We won’t ask for “N years of [tool].” The stack turns over every few months, so what matters is that you pick up new tools fast and know where and when they apply. SALARY AND BENEFITS The base salary range for this role is $180,000 – $250,000. This reflects the minimum and maximum range across US locations. It does not include benefits, token, or equity incentives. The final offer may vary based on factors such as relevant skills, experience, domain expertise, and work location. If you are based outside of the US, we have geographic considerations that may impact your final compensation. Benefits for all Full-Time Employees: - Private health insurance options - Flexible paid time off - Monthly wellness reimbursement - Paid parental leave Benefits for US employees: - World-class benefits package with 100% paid medical, dental, and vision insurance including 75% coverage for dependents and HSA + FSA options - 401(k) with company match - Lunch and dinner stipend (in-office NYC) Benefits for employees hired through an EOR (outside of the US) will be based on EOR offerings and country-specific requirements. Category Labs is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or other legally protected status.

Location: San Francisco; Sunnyvale Workplace: Hybrid About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! About the Role: We are building a core team to develop next-generation native video and omni foundation models for multimodal generation and understanding. Our current focus is large-scale video foundation model development, spanning pre-training, continued training, and post-training for high-quality, controllable, consistent, and efficient generation. Our broader roadmap includes reference- and memory-based generation, multimodal understanding and interaction, and joint audio-video generation. In this role, you will work on foundational research and large-scale model development across the full model lifecycle, including architecture, data, training, evaluation, post-training, training systems, and efficient inference. You will have the opportunity to shape both the technical direction and the team from an early stage. What You’ll Do: - Research, develop, and scale native video and multimodal foundation models, from early prototypes through large-scale pre-training, continued training, and post-training. - Explore new model architectures, training objectives, and conditioning mechanisms for video generation, reference- and memory-based generation, multimodal interaction, and joint audio-video generation. - Build and improve large-scale data curation, distributed training, evaluation, and post-training pipelines for high-quality and controllable generation. - Design systematic experiments to understand model scaling, generation quality, controllability, consistency, robustness, and inference efficiency. - Collaborate closely with researchers, engineers, and product teams to help shape the technical roadmap and, where appropriate, translate model advances into real-world capabilities. - Contribute to research publications and open-source releases when appropriate. What You’ll Bring: - Strong research and engineering experience in generative modeling, including areas such as diffusion models, flow matching, DiTs, video generation, multimodal models, world models, or related fields. - Hands-on experience training and evaluating large-scale image, video, or unified multimodal models using modern deep learning frameworks and distributed training systems. - A strong track record of developing impactful models or systems, demonstrated through research publications, open-source contributions, production impact, or other significant technical work. - Ability to independently own ambiguous research problems, move effectively from ideas to experiments, and work well in a highly collaborative environment. - Specialized depth in one or more areas across the foundation model lifecycle, such as model architecture, data curation, controllable generation, multimodal understanding and conditioning, post-training and reward modeling, model acceleration, inference systems, or deployment. Compensation: The anticipated annual base salary range for this role is between $200,000-$320,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data. Benefits: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: Berlin, Remote Workplace: remote As the first Enterprise Account Executive for DACH, you will lead 360Learning’s expansion into one of Europe’s most strategic markets. Joining a team of 9 Enterprise AEs across France and the UK, you will bring our proven enterprise sales motion to DACH and build the foundations for long-term growth. You won’t be starting from scratch. You’ll join an established German commercial organization serving the Mid-Market segment, giving you access to local expertise, customer references, brand recognition, and a strong partner ecosystem, including our strategic alliance with SAP SuccessFactors. Your mission will be to win new enterprise customers (10,000+ employees), build a high-quality pipeline, and close complex, multi-stakeholder deals with some of Germany’s largest organizations. Combining strategic territory development with hands-on execution, you will play a key role in establishing 360Learning as a trusted Learning & Development partner across the DACH region. While this is a highly entrepreneurial role, you will be supported by dedicated Solution Engineers, Alliances, Professional Services, Customer Success, Marketing teams, and the broader German commercial organization. Reporting to the VP of Enterprise Sales EMEA, you can work remotely from anywhere in Germany while helping shape the future of 360Learning’s Enterprise business in DACH. Within 1 month, you will: Learn to navigate Convexity, our working environment Meet the global team through virtual coffee meets and happy hour Understand our product offering through training and the onboarding process Learn our sales processes, tools and frameworks Discover your territory Within 3 months, you will: Successfully tier your portfolio and start working on strategic accounts Apprehend the partner ecosystem Demonstrate a high level of leadership by being diligent, thorough, and making a positive impact during every sales engagement Start creating a pipeline to ensure success Within 6 months, you will: Continuously encourage and develop discipline in your sales team with regard to updating the CRM timely and with high-quality information Collaborate with the Sales Solutioning to accelerate sales opportunities Build strong relationships with partners Within 12 months, you will: Meet and exceed all quarterly and annual sales objectives Accurately forecast on a weekly and monthly cadence to meet and exceed set quotas Generate new ideas to improve overall business performance The Skill Set: 8+ years of Sales experience in a B2B environment working with large accounts Previous experiences working in the SaaS industry Successful track record to achieve 500k + euros quotas Expertise in executing successful sales strategies Strong analytical skills to identify team trends and patterns to drive results A growth mindset and a life-long learning attitude Fluent English & German skills are mandatory Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What we offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits: Work From Home perks, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in Germany 🏠. Working remotely from outside Germany is also possible, subject to some conditions (tenure, performance, destination, length, etc.) and the approval of our Remote Committee 🌍 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone screen with our Talent Acquisition Manager Discovery Meeting with our VP of Enterprise Sales EMEA Case study with our VP of Enterprise Sales EMEA and our VP of Mid-Market Sales EMEA Clarification Meeting with two Enterprise Account Executives Culture Fit Meeting with our Chief Revenue Officer Reference check Offer! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Remote, EMEA; Czech Republic; Georgia; Kyiv; Moldova; Romania; Warsaw; Bulgaria; Cyprus; Greece; Latvia; Lithuania; Macedonia; Serbia; Kosovo Workplace: remote In 2017, Belkins started as an appointment-setting agency with just one service offering. Fast-forward to today, and we've transformed into Belkins Group — a vibrant ecosystem of services and products that define the cutting-edge landscape of the SalesTech and MarTech industries. For seven years running, we’ve been the top appointment-setting agency, achieving amazing results across 50+ industries worldwide.   Our results speak for themselves: with over 1,000 clients and a global portfolio, we’ve set up more than 200,000 appointments, delivering a $10 return for every $1 spent. We’re experts in B2B appointment setting, providing essential services for companies ready to take their growth to the next level. By diving deep into lead research and using customized, omnichannel strategies, we turn opportunities into real success. Joining Belkins means signing up for a journey of unstoppable growth and success, driven by curiosity, dedication, and a commitment to excellence. We are looking for a results-driven Sales Development Representative to join one of our delivery units. Each unit is built around an Account Strategist who owns client strategy, supported by a Delivery Lead, Content Strategist, Researcher, and Email Deliverability Specialist. This organizational framework provides SDRs with technical assistance, yet you will remain fully responsible for managing campaigns, verifying setups, HubSpot reporting, and daily outreach. We’ve designed this to eliminate manual friction, such as lead research, so you can focus on calls, reply handling, and securing booked appointments. You will work across multiple client projects simultaneously, running high-volume cold calling via a power dialer and personally managing all replies from automated email and LinkedIn campaigns. Things You’ll Be Doing: Cold Calling Running outbound calling campaigns through a power dialer ( Koncert ) across multiple (3-6) client projects simultaneously - not one account, several, at once. Handling objections live, on the call, and steering each conversation toward a booked appointment, not just working through a script. Tracking connect rate and call-to-meeting conversion, flagging performance issues to your Account Strategist before they become a pattern, not after. Reply Handling — Email & LinkedIn Personally owning every reply that comes in from automated email (Reply.io / Inbox AI) and LinkedIn (Expandi) campaigns, not just monitoring the inbox. Responding within 4–8 working hours and nurturing prospects until they're ready to book. Handling objections in writing, pushing for a next step, and converting replies into confirmed meetings. Scheduling appointments and sharing meeting details with the team via Slack. Campaign Oversight & Reporting Monitoring key metrics across every project - connect rate, reply rate, conversion rate - as your own numbers, not someone else's dashboard. Feeding structured feedback to Research, Content, and EDS so lead quality and messaging actually improve, not just flagging that something isn't working. Keeping CRM hygiene tight in HubSpot and sharing a weekly recap your Account Strategist can actually use. What You Bring: 2+ years of outbound sales experience with a strong cold-calling background . Confident, error-free written English for handling email and LinkedIn replies - this is half the role, not an afterthought. Fluent spoken English, comfortable working across US and European time zones . Strong understanding of outreach tools: You’re comfortable working with CRM and automation platforms and understand the key technical elements behind cold outreach. You can support campaign setup, identify potential issues, and work with the right teams to resolve technical blockers. The ability to run multiple client projects in parallel without losing quality or pace on any one of them. Self-starting: there are no fixed hours here, and the work doesn't get done unless you make it happen. How We Hire: Recruiter Interview (~30 minutes) — with Yuliia or Inna. Practical Task (~60–90 minutes) — a written exercise covering outbound thinking, objection handling, and lead prioritization. Hiring Manager Interview (~45–60 minutes) — a conversation with the SDR Enablement Manager covering the details of your work, performance analytics, and a live cold-call roleplay. Final Interview (~60 minutes) — with the Managing Director and HR Business Partner to assess company fit and explore your values and working style. Offer & Onboarding — if it's a yes, we move fast. *We may use AI tools to support parts of the hiring process. Final decisions are made by humans. Contact us for information on data processing. At Belkins, we care deeply about our team members, and we prove it through: Competitive Pay: Your dedication deserves more than recognition; it deserves compensation that matches your expertise. Remote-First Flexibility: We’ve transitioned to a fully remote environment so you can work where you're most productive. Our flexible hours help you stay agile and focused. Professional Growth: We’re a launchpad for your career. Through regular feedback, 1:1s, internal mobility, and knowledge-sharing, your growth is enabled and celebrated. We also maintain an internal wiki for insights and a library of the latest business books to keep you sharp. Well-being focus: Your mental health is a priority. We offer mental health lectures and support for your overall well-being. Recharge Time: We prioritize your rest with 20 paid vacation days, parental leave, fully covered sick days, and unlimited days off for unexpected needs. Global Sync: We align with U.S. holidays to keep our global teams in sync. Memorable Team Experiences: Work hard, play hard — even from a distance. Our online team-building events and all-hands gatherings bring humor, memes, and a lively atmosphere that makes teamwork genuinely fun.

Location: San Francisco; Los Angeles; Sunnyvale Workplace: Hybrid About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! About The Role: As an early member of Cantina's product team, you'll have ownership over a large, growing surface area that's at the very beginning of its growth trajectory. You'll be able to establish processes and coordinate with a global team of engineers and designers. Your role will partner day-to-day with engineering, design, marketing, leadership, and analytics teams. You'll be able to define the success of Cantina's web product, manage a roadmap, and contribute to a burgeoning product culture. What You'll Do: - Lead day-to-day prioritization, roadmap, and execution for Cantina’s web product - Partner with the Cantina executive team to build a best in class, AI first video editing experience on the web - Run sprint planning, backlog grooming, and Jira prioritization for an eight person, internationally based web team - Work closely with engineering, design, and data to iterate on the web experience and grow its user base - Talk to creators and users directly to gather feedback and insights for iterative product improvements - Define and iterate on video creation and editing workflows, including trimming, effects, filters, publishing, and sharing. - Stay in close collaboration with Client teams to maintain a feature complete web product - Ensure the web video product is intuitive, performant, and meets the expectations of a skilled creator base What You'll Bring: - 3-5+ years in product management, ideally with 1+ years of experience video creation tools, video editing, or video platform products. Bonus for web based video editors - Experience using Jira, running sprint planning, and managing a roadmap for 9+ engineers - Strong understanding of consumer video products and workflows (CapCut, Instagram Reels, iMovie, TikTok, or similar) - Ability to make complex concepts accessible with clear communication - Strong collaborator who can work across engineering, design, data, and leadership teams - Excellent written and verbal communication skills Compensation: The anticipated annual base salary range for this role is between $150,000-$180,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data. Benefits: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity What You’ll Be Doing Drive the integration of Agentic Wallet infrastructure across emerging chains, protocols, and AI-native ecosystems, collaborating closely with BD teams to unlock strategic partnerships. Explore and analyze AI Economy trends, identifying opportunities to position wallets as the core execution and value layer for AI Agents. Stay ahead of AI × Web3 convergence trends, contributing to long-term product vision. Build strong connections with the developer community to promote wallet services among public chain developers, increasing integration and usage rates. Develop user growth strategies for Web3 Wallets to enhance user retention and activity levels. Monitor user growth data, analyze user behavior, optimize product experience and growth strategies, and improve conversion rates. Collaborate closely with the R&D team to manage the product iteration process, ensuring it follows the planned schedule. Engage in in-depth discussions about business scenarios and technological trends to ensure the product's applicability and foresight. What We Look For In You Bachelor's degree or higher. Over 2 years of experience in Web3 chains or Web3 wallets, along with 2+ years as a product manager in a large internet company. Strong ability to abstract and simplify complex problems, utilizing first-principles thinking; adept at systematic thinking and innovative problem-solving. Excellent project management skills, capable of driving cross-team collaboration and ensuring timely delivery of technical solutions. Strong resilience under pressure, with outstanding communication skills and flexible thinking. A keen interest in Web3, with a sharp awareness of industry trends. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. #LI-MX1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity What You’ll Be Doing Drive the integration of Agentic Wallet infrastructure across emerging chains, protocols, and AI-native ecosystems, collaborating closely with BD teams to unlock strategic partnerships. Explore and analyze AI Economy trends, identifying opportunities to position wallets as the core execution and value layer for AI Agents. Stay ahead of AI × Web3 convergence trends, contributing to long-term product vision. Build strong connections with the developer community to promote wallet services among public chain developers, increasing integration and usage rates. Develop user growth strategies for Web3 Wallets to enhance user retention and activity levels. Monitor user growth data, analyze user behavior, optimize product experience and growth strategies, and improve conversion rates. Collaborate closely with the R&D team to manage the product iteration process, ensuring it follows the planned schedule. Engage in in-depth discussions about business scenarios and technological trends to ensure the product's applicability and foresight. What We Look For In You Bachelor's degree or higher. Over 2 years of experience in Web3 chains or Web3 wallets, along with 2+ years as a product manager in a large internet company. Strong ability to abstract and simplify complex problems, utilizing first-principles thinking; adept at systematic thinking and innovative problem-solving. Excellent project management skills, capable of driving cross-team collaboration and ensuring timely delivery of technical solutions. Strong resilience under pressure, with outstanding communication skills and flexible thinking. A keen interest in Web3, with a sharp awareness of industry trends. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-MX1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: New York City, NY Workplace: onsite At Offchain Labs, we aren’t just building products: we’re leading a movement.    As pioneers in blockchain scalability and security, we're at the forefront of transforming how the world interacts with decentralized applications. We're laying the foundation that will define the next generation of digital commerce, governance, and human interaction. This involves tackling real-world challenges that come with scaling blockchain technology, without compromising on its core principles: decentralization, security and transparency.    At the center of this vision is our people. Our team is made up of thinkers and doers that embrace new challenges and seek solutions that push existing boundaries. If you’re energized by solving unprecedented problems, and believe in the role that decentralized systems will play in creating a more equitable digital future, then we want to hear from you.    Why Offchain Labs?   Offchain Labs is setting the pace for the entire Ethereum ecosystem. We built the Arbitrum stack that powers Arbitrum One, the most widely adopted Ethereum scaling solution that exists today.   Arbitrum’s ecosystem is undergoing tremendous growth with hundreds of projects and dApps on Arbitrum One today. Over 100 different teams have used Offchain Labs technology to build their own Arbitrum chains. Major players in the space, Robinhood, BlackRock, Ethena Labs, Securitize, Aave, and Apechain are all using the Arbitrum stack.   Arbitrum’s thriving ecosystem wouldn’t exist without our advanced technology stack. Arbitrum, Prysm, ZeroDev. These aren’t just product names. These are tools that are actively reshaping what's possible on Ethereum and advancing its core infrastructure.   To top it all off? We’re backed by $124 million in funding. We’ve demonstrated consistent execution with billions in secured value, thousands of supported projects, and infrastructure processing millions of transactions seamlessly. What is the role: We’re looking for a mission-driven, resilient Director of Accounting to work with the Head of Finance to build out the Accounting department, ensuring that Offchain has accurate and timely financial reporting and implementing financial operating procedures. This leader will roll up their sleeves and work both independently and as a manager. This position is a great fit for someone who thrives in high-growth environments, enjoys solving complex blockchain related problems, and fully understands foundational accounting processes while helping us build for scale. A strong grasp of US GAAP, experience with accounting systems and integrations (such as QuickBooks, Stripe, Ramp), and a mindset focused on automation, documentation, and continuous improvement. What you'll do: Lead the monthly close process and prepare and analyze financial statements, including income. statements, balance sheets, and statements of cash flow Drive opportunities for process improvements and automation, optimize our accounting systems and tools, and lead the implementation of accounting best practices Ensure consistent implementation of accounting principles and procedures in compliance with US GAAP, staying up to date with FASB and SEC guidance, especially related to any digital asset policies Develop, implement and enforce financial controls and policies Oversee payroll, accounts payable, expense reimbursements, and accounts receivable Own digital asset reporting and reconciliations Provide support to the management team in making informed financial decisions Work with our tax partners to prepare and file tax documents and returns Build and mentor the Accounting team Who you are: Fast-moving, curious, and collaborative. Always working toward high-impact outcomes Committed to transparency, trust, and clear ownership across teams. Focused on building a supportive environment where people can do their best workIntentional about how we scale our operations, process, and systems. Lean, agile, and unafraid to dive into the details to get things done. What you'll need: Accounting department builder at heart 10+ years experience with prior experience at top tier public accounting firm 2+ years of recent experience at a crypto company or crypto native Experience or familiarity with digital asset accounting is highly preferred Prior experience leading a financial audit in partnership with external auditors CPA license holder Experience with multi-entity operations Strong proficiency in accounting software, financial planning tools and microsoft excel Great communicator with excellent analytical and problem-solving skills Strong attention to detail and highly organized and tactical Ability to think strategically about department building and rolling out new processes Excited to roll up your sleeves and comfortable working in a fast-paced start-up environment, executing on multiple projects at any given time Perks: Professional reimbursement program (facilitates industry conference attendance, certifications, and more) Medical, dental & vision coverage (US + some other countries) 401k retirement plan + company match (US only) Wellness stipend Home office set up / ergonomic equipment program Attention Offchain Labs Job Seekers: The position is onsite and reports to our office in New York, NY. Salary: $180,000-$225,000 per year  Please be advised that there has been a rise in fraudulent recruiter activities, particularly within the Web3 space. If you would like to confirm whether someone is an OCL employee or the legitimacy of an offer you received, please email jobs@offchainlabs.com   At Offchain Labs, we are committed to building a welcoming and supportive workplace for all employees, regardless of their background or identity. We strive to create an environment where everyone feels valued and has an equal opportunity to succeed and thrive. We encourage candidates from all walks of life to apply and join our team.

Location: San Francisco, CA; US - Houston, TX (Remote) Workplace: Hybrid About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role As a Solutions Architect at Niantic Spatial, you’ll own technical solutioning from early customer discovery through commercial structuring and delivery. This role serves as the primary technical partner to Business Development, Sales, and strategic customers. We welcome candidates from backgrounds in Solutions Engineering, Customer Engineering, Technical Consulting, Solution Architecture, or technical pre-sales roles. As the primary technical counterpart for strategic commercial customers, you’ll lead discovery and align development to reusable, platform-aligned capabilities rather than one-off builds — translating operational needs into architectures that integrate cleanly into existing enterprise systems, field workflows, and robotic platforms. You’ll partner closely with Product Management so customer requirements shape the roadmap, and you’ll be central to developing, closing, and implementing new business across priority verticals — with a focus on Energy and Industrial — leveraging Niantic Spatial solutions such as Intelligent Field Operations, Reconstruction, Semantics, and Robotics. What You’ll Do Customer architecture & technical leadership - Own the technical relationship and technical success for assigned commercial and strategic accounts from discovery through implementation, with priority focus on Energy customers leveraging Intelligent Field Operations and Semantics. - Design end-to-end solution architectures (logical and physical) covering deployment, scaling, reliability, safety, and security across cloud, edge, and device environments. - Lead technical workshops to capture operational objectives, requirements, and success criteria, and translate them into implementation-ready designs tailored to field environments. Solution development & commercial proposal support - Provide technical inputs to customer proposals, pilots, statements of work (SOWs), and commercial agreements. - Lead technical solution documentation — architecture diagrams, integration approaches, deployment models, security considerations, and implementation plans. - Partner with Sales/BD on technical differentiators, value narratives, demonstrations, and scoping assumptions aligned to customer ROI and operational impact. Integration into enterprise & operational ecosystems - Ensure solutions integrate into customer environments — identity systems, data platforms, GIS/geo services, robotics stacks, enterprise integration patterns, observability, and device constraints. - Define integration patterns, APIs, and data flows across cloud, edge, and on-device systems; document operational runbooks and deployment/upgrade strategies suited to distributed field operations. Product feedback loop - Communicate customer needs, gaps, and technical requirements to Product Management and Engineering, influencing roadmap and prioritization with structured feedback from engagements, pilots, and deployments. - Provide structured input on emerging use cases across Intelligent Field Operations, Semantics, and Robotics. Delivery partnership - Collaborate with delivery teams and partners to ensure architectures are implemented as designed; support escalations, performance optimization, field validation, and post-launch adoption. - Support pilots and early deployments, ensuring measurable operational outcomes and scalable production transitions. - Maintain a set of repeatable demos for commercial prospects; use demo feedback to inform proposals and the product roadmap. What You’ll Bring - 8+ years in Solutions Architecture, Solutions Engineering, Customer Engineering or Systems Engineering, or related customer-facing technical roles supporting enterprise or industrial customers. - Demonstrated experience developing solution architectures and contributing to commercial proposals, pilots, or customer-facing technical documentation. - Strong architecture fundamentals across cloud and hybrid deployments, edge computing, networking, identity, security controls, and operational monitoring; enterprise integration (APIs, data pipelines, event-driven systems); and edge/device-constrained, distributed systems operating in real-world field conditions. - Experience supporting customers in at least one of: Intelligent Field Operations (utilities, energy, telecom, logistics, asset inspection, industrial automation); robotics platforms (mobile robots, drones, autonomy stacks, perception/localization); or geospatial, mapping/GIS, spatial computing, or AI-driven perception systems. - Ability to translate operational needs into implementable architectures and explain tradeoffs to both technical and non-technical stakeholders. - Excellent written communication, with the ability to produce high-quality technical documentation and customer-facing materials. Nice to Have - Experience selling into Energy verticals, and Oil & Gas specifically. - Experience with robotics software stacks (e.g., ROS/ROS2), autonomy systems, SLAM/localization, or sensor fusion. - Experience deploying AI/ML or perception systems in real-world operational environments. - Familiarity with safety, reliability, and operational constraints in industrial or field-based systems. - Prior experience partnering with Product Management to turn customer requirements into roadmap outcomes. Compensation & Benefits $171,000 - $215,000 · annual bonus · equity · comprehensive benefits Location & Work Model San Francisco Bay Area or Houston, TX (remote). If in San Francisco: Hybrid — at least 3 days per week in office. Inclusive Application We know the strongest candidates don’t always tick every box. If you’re excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn’t match every qualification listed — you may be exactly who we’re looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Senior Backend Software Engineer to join our Observability Platform team in Amsterdam or remotely. Building a reliable and profitable cloud platform is impossible without world-class observability. It spans every layer of the stack — from developer tooling and CI/CD pipelines to Kubernetes, managed services, databases, networking, and customer workloads. Our mission is to provide a unified ecosystem for logs, metrics, traces, alerting, and troubleshooting that enables engineers to understand and operate systems at scale. You will build and scale the core services behind this platform, working on high-volume telemetry ingestion, distributed storage, query engines, alerting pipelines, and new ways to help engineers make sense of operational data, including AI-assisted troubleshooting. We expect you to have: 5+ years of professional software engineering experience Strong knowledge of Golang or willingness to quickly switch to it Experience building distributed backend systems Solid understanding of software reliability, scalability, and performance Ability to troubleshoot complex production issues Teamwork-oriented approach and strong communication skills It would be an added bonus if you had: Experience building or contributing to observability platforms, telemetry systems, or related open-source projects such as Prometheus, Grafana, Loki, Jaeger, OpenTelemetry, VictoriaMetrics, Mimir, Tempo, or similar technologies Experience using ClickHouse in production #LI-ET3 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Principal Price Realization Strategy Manager - Digital & PLG Pricing About the job This is a high-impact role, critical to driving Twilio's pricing strategy and developing key pricing strategic decisions. Your work will directly contribute to accelerating Twilio's business growth while simplifying the purchasing experience for our customers. As the Principal Price Realization Strategy Manager , you will drive the pricing strategy, analytics, and operational execution for our digital and product monetization initiatives. Reporting directly to the Director of Price Realization Strategy, you will serve as a strategic leader responsible for shaping global pricing and discounting frameworks, build and design executive-facing dashboards, and optimizing revenue performance across our entire product portfolio. Responsibilities In this role, you’ll: Architect and execute price optimization models that accelerate business performance. You will blend price elasticity, competitive differentiation, and deep financial analysis into actionable monetization frameworks. Partner directly with Growth Marketing, Self-service Sales, Console Engineering, and Finance teams to align on product-led growth (PLG) strategies, ensuring seamless pricing execution across digital touchpoints. Own the design, optimization, and scaling of advanced pricing analytics dashboards (Tableau/Looker) and operational workflows. Turn complex data infrastructure into strategic tools that enhance efficiency and maximize profitability. Query and analyze complex datasets across sales, customer behavior, product usage, and financials to uncover hidden revenue opportunities, pressure-test hypotheses, and scale high-impact strategies. Act as a critical bridge and internal champion across GTM Strategy, Product, Sales, Marketing, and Finance to ensure organizational alignment and flawless execution of new pricing initiatives. Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 8+ years of relevant experience, including 5+ years of direct ownership over consumption-based pricing and monetization strategies within IaaS, PaaS, or developer-focused B2C/Product-led growth ecosystems. Hands-on mastery of developing complex pricing models and monetization frameworks, combined with 3+ years of experience building analytics dashboards in Tableau or Looker to drive strategic, revenue-optimizing decisions. A proven track record of leading and delivering complex, multi-stakeholder projects that generate clear, measurable business impact. Exceptional oral and written communication skills, with a demonstrated ability to translate complex pricing concepts into compelling narratives that influence peers and senior leadership. Bachelor’s degree in a quantitative or business-related field. Desired: Direct experience designing and scaling multi-product, platform-level pricing strategies tailored to developer-focused B2C/Product-led growth ecosystems. Proven experience designing and operationalizing clear, intuitive dashboards in Tableau or Looker to translate dense data into actionable, executive-facing insights. Familiarity with navigating regional pricing dynamics, including multi-currency strategies, local market nuances, and regulatory constraints. Consulting experience, MBA or an advanced degree in a highly quantitative discipline. Location: This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $141,520.00 - $176,900.00 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $149,840.00 - $187,300.00 Based in the San Francisco Bay area, California: $166,400.00 - $208,000.00 This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until Oct1st, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Bangalore, India Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in training and optimizing vision-language models with a focus on real-world deployment. Your work will span the full model development lifecycle - from data curation and training pipeline design to model evaluation and optimization - with the goal of building models that are both highly capable and practical to deploy at scale. You will work across a wide spectrum of multimodal architectures integrating text and vision, applying state-of-the-art research to improve model quality, efficiency, and domain-specific performance. We expect you to bring a research-driven mindset combined with strong engineering discipline - someone who can identify the right technique for a given problem, implement it rigorously, and measure its impact clearly. You will work closely with a small, high-caliber team where your contributions will have direct and meaningful impact. If you are passionate about pushing the boundaries of what multimodal AI can achieve in production environments, this is your opportunity. Responsibilities Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle. Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback. Develop and maintain high-quality multimodal datasets, including data curation, filtering, and balancing for domain-specific tasks. Drive model efficiency and deployability, adapting models for resource-constrained environments using compression and optimization techniques. Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real-world task success. Build and scale training workflows across distributed GPU infrastructure. Identify and resolve bottlenecks in training pipelines to achieve state-of-the-art model quality on target benchmarks. Contribute to and leverage open-source ecosystems including models, datasets, and tooling to accelerate development. Stay current with the latest research in multimodal learning and vision-language systems, translating relevant findings into practical improvements. Publish research findings in top-tier AI conferences and journals where applicable. Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred. Strong experience with multimodal post-training workflows including supervised fine-tuning, knowledge distillation, and reinforcement learning from feedback. Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks. Demonstrated ability to build and improve vision-language models with measurable results on standard benchmarks or real-world tasks. Experience adapting models for resource-constrained environments. Proven open-source contributions in multimodal AI on GitHub or HuggingFace. Publications at top AI conferences (NeurIPS, ICML, ICLR, CVPR, ECCV etc.) Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Dubai, United Arab Emirates Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in training and optimizing vision-language models with a focus on real-world deployment. Your work will span the full model development lifecycle - from data curation and training pipeline design to model evaluation and optimization - with the goal of building models that are both highly capable and practical to deploy at scale. You will work across a wide spectrum of multimodal architectures integrating text and vision, applying state-of-the-art research to improve model quality, efficiency, and domain-specific performance. We expect you to bring a research-driven mindset combined with strong engineering discipline - someone who can identify the right technique for a given problem, implement it rigorously, and measure its impact clearly. You will work closely with a small, high-caliber team where your contributions will have direct and meaningful impact. If you are passionate about pushing the boundaries of what multimodal AI can achieve in production environments, this is your opportunity. Responsibilities Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle. Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback. Develop and maintain high-quality multimodal datasets, including data curation, filtering, and balancing for domain-specific tasks. Drive model efficiency and deployability, adapting models for resource-constrained environments using compression and optimization techniques. Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real-world task success. Build and scale training workflows across distributed GPU infrastructure. Identify and resolve bottlenecks in training pipelines to achieve state-of-the-art model quality on target benchmarks. Contribute to and leverage open-source ecosystems including models, datasets, and tooling to accelerate development. Stay current with the latest research in multimodal learning and vision-language systems, translating relevant findings into practical improvements. Publish research findings in top-tier AI conferences and journals where applicable. Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred. Strong experience with multimodal post-training workflows including supervised fine-tuning, knowledge distillation, and reinforcement learning from feedback. Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks. Demonstrated ability to build and improve vision-language models with measurable results on standard benchmarks or real-world tasks. Experience adapting models for resource-constrained environments. Proven open-source contributions in multimodal AI on GitHub or HuggingFace. Publications at top AI conferences (NeurIPS, ICML, ICLR, CVPR, ECCV etc.) Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: London, United Kingdom Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in training and optimizing vision-language models with a focus on real-world deployment. Your work will span the full model development lifecycle - from data curation and training pipeline design to model evaluation and optimization - with the goal of building models that are both highly capable and practical to deploy at scale. You will work across a wide spectrum of multimodal architectures integrating text and vision, applying state-of-the-art research to improve model quality, efficiency, and domain-specific performance. We expect you to bring a research-driven mindset combined with strong engineering discipline - someone who can identify the right technique for a given problem, implement it rigorously, and measure its impact clearly. You will work closely with a small, high-caliber team where your contributions will have direct and meaningful impact. If you are passionate about pushing the boundaries of what multimodal AI can achieve in production environments, this is your opportunity. Responsibilities Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle. Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback. Develop and maintain high-quality multimodal datasets, including data curation, filtering, and balancing for domain-specific tasks. Drive model efficiency and deployability, adapting models for resource-constrained environments using compression and optimization techniques. Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real-world task success. Build and scale training workflows across distributed GPU infrastructure. Identify and resolve bottlenecks in training pipelines to achieve state-of-the-art model quality on target benchmarks. Contribute to and leverage open-source ecosystems including models, datasets, and tooling to accelerate development. Stay current with the latest research in multimodal learning and vision-language systems, translating relevant findings into practical improvements. Publish research findings in top-tier AI conferences and journals where applicable. Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred. Strong experience with multimodal post-training workflows including supervised fine-tuning, knowledge distillation, and reinforcement learning from feedback. Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks. Demonstrated ability to build and improve vision-language models with measurable results on standard benchmarks or real-world tasks. Experience adapting models for resource-constrained environments. Proven open-source contributions in multimodal AI on GitHub or HuggingFace. Publications at top AI conferences (NeurIPS, ICML, ICLR, CVPR, ECCV etc.) Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Brussels, Belgium Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in training and optimizing vision-language models with a focus on real-world deployment. Your work will span the full model development lifecycle - from data curation and training pipeline design to model evaluation and optimization - with the goal of building models that are both highly capable and practical to deploy at scale. You will work across a wide spectrum of multimodal architectures integrating text and vision, applying state-of-the-art research to improve model quality, efficiency, and domain-specific performance. We expect you to bring a research-driven mindset combined with strong engineering discipline - someone who can identify the right technique for a given problem, implement it rigorously, and measure its impact clearly. You will work closely with a small, high-caliber team where your contributions will have direct and meaningful impact. If you are passionate about pushing the boundaries of what multimodal AI can achieve in production environments, this is your opportunity. Responsibilities Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle. Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback. Develop and maintain high-quality multimodal datasets, including data curation, filtering, and balancing for domain-specific tasks. Drive model efficiency and deployability, adapting models for resource-constrained environments using compression and optimization techniques. Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real-world task success. Build and scale training workflows across distributed GPU infrastructure. Identify and resolve bottlenecks in training pipelines to achieve state-of-the-art model quality on target benchmarks. Contribute to and leverage open-source ecosystems including models, datasets, and tooling to accelerate development. Stay current with the latest research in multimodal learning and vision-language systems, translating relevant findings into practical improvements. Publish research findings in top-tier AI conferences and journals where applicable. Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred. Strong experience with multimodal post-training workflows including supervised fine-tuning, knowledge distillation, and reinforcement learning from feedback. Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks. Demonstrated ability to build and improve vision-language models with measurable results on standard benchmarks or real-world tasks. Experience adapting models for resource-constrained environments. Proven open-source contributions in multimodal AI on GitHub or HuggingFace. Publications at top AI conferences (NeurIPS, ICML, ICLR, CVPR, ECCV etc.) Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Indonesia Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Account Executive   The successful candidate will have a proven track record in closing new SaaS business in the Southeast Asia region. A tenacious hunter with a strong understanding of online and mobile advertising ecosystems and technology fundamentals, you are able to clearly understand a client’s business objectives and translate those insights into successful SaaS deals.   This role focuses on driving new customer acquisition in Southeast Asia by selling Sensor Tower’s SaaS platform and custom data solutions. You will manage the full sales cycle, from prospecting and pitching through negotiation and close, while collaborating with internal teams to ensure customer success and sustained revenue growth.   Strong local market knowledge, strategic relationship-building skills, and effective pipeline management in Salesforce are essential to exceeding sales targets.   What the Account Executive will do:   - Source and close new business to regularly meet and exceed sales goals. - Develop deep market and product knowledge to drive new customer acquisition across Indonesia and the surrounding Southeast Asia region. - Working with management and the sales development team to define specific sales strategies. - Sell SaaS-style platform licenses and customized solutions. - Build an intimate understanding of Sensor Tower’s data and platform, and how it meets the needs of the customers. - Build strategic relationships with all levels of decision-makers. - Prospect potential clients, perform presentations, build proposals, and close new deals. - Track and manage all sales pipeline, opportunity, and account activities in Salesforce. - Work with internal Account Management, Client Services, Finance, Product, and other stakeholders to exceed client expectations and grow AR.   Experience and skills the candidate can bring:   - Sales experience selling SaaS solutions to customers in Southeast Asia. - Consistently meet and exceed sales quotas. - Keen understanding of how to use data, analytics, and insights to tell a story. - Strong preparation, attention to detail, and ability to execute exceptional work. - Passionate, hunter mentality, tenacious, and ability to “think on your feet." - Senior mobile, digital and SaaS contacts with a solid reputation among these contacts. - Ability to meticulously manage a pipeline, target new accounts, close business and handles follow-up via Salesforce. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Thailand Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Account Executive   The successful candidate will have a proven track record in closing new SaaS business in the Southeast Asia region. A tenacious hunter with a strong understanding of online and mobile advertising ecosystems and technology fundamentals, you are able to clearly understand a client’s business objectives and translate those insights into successful SaaS deals.   This role focuses on driving new customer acquisition in Southeast Asia by selling Sensor Tower’s SaaS platform and custom data solutions. You will manage the full sales cycle, from prospecting and pitching through negotiation and close, while collaborating with internal teams to ensure customer success and sustained revenue growth.   Strong local market knowledge, strategic relationship-building skills, and effective pipeline management in Salesforce are essential to exceeding sales targets.   What the Account Executive will do:   - Source and close new business to regularly meet and exceed sales goals. - Develop deep market and product knowledge to drive new customer acquisition across Thailand and the surrounding Southeast Asia region. - Working with management and the sales development team to define specific sales strategies. - Sell SaaS-style platform licenses and customized solutions. - Build an intimate understanding of Sensor Tower’s data and platform, and how it meets the needs of the customers. - Build strategic relationships with all levels of decision-makers. - Prospect potential clients, perform presentations, build proposals, and close new deals. - Track and manage all sales pipeline, opportunity, and account activities in Salesforce. - Work with internal Account Management, Client Services, Finance, Product, and other stakeholders to exceed client expectations and grow AR.   Experience and skills the candidate can bring:   - Sales experience selling SaaS solutions to customers in Southeast Asia. - Consistently meet and exceed sales quotas. - Keen understanding of how to use data, analytics, and insights to tell a story. - Strong preparation, attention to detail, and ability to execute exceptional work. - Passionate, hunter mentality, tenacious, and ability to “think on your feet." - Senior mobile, digital and SaaS contacts with a solid reputation among these contacts. - Ability to meticulously manage a pipeline, target new accounts, close business and handles follow-up via Salesforce. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.