Вакансии

Задачи: — Проектировать UX/UI для trading mini-app ecosystem; — Создавать user flows, wireframes, mockups и clickable prototypes; — Разрабатывать onboarding-сценарии и объяснять сложные механики через простой UX; — Проектировать игровые UX-паттерны: leaderboards, rewards, progress, streaks, missions; — Создавать mobile-first интерфейсы для web и desktop; — Совместно с Game Designer превращать игровые механики в понятный и удобный интерфейс. Требования: — От 2 лет опыта в Product Design / UX/UI Design; — Опыт работы с fintech, trading, betting, gaming или iGaming продуктами; — Понимание engagement, retention и onboarding UX; — Умение создавать не просто красивый UI, а логичные интерфейсы с быстрым и понятным user flow; — Опыт проектирования сложных продуктовых платформ. Будет плюсом: — Опыт в crypto, fantasy sports или social casino; — Motion / Interaction Design; — UX Research и проведение usability-тестов; — Опыт работы с Design Systems. Условия: — Работа в офисе в Лимасоле (Кипр); — Полное сопровождение при релокации; — Возможность создавать UX для нового trading/gamification продукта; — Сильную продуктовую команду; — Влияние на продукт и свободу в принятии решений; — Работу на стыке fintech, gaming и behavioral design. В первую очередь рассматриваются кандидаты, которые уже находятся на Кипре, но также рассматриваются специалисты, готовые к релокации.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As a Senior Functional Safety Engineer on our Systems Engineering team, you will have the unique opportunity to contribute to the development of cutting-edge safety-related systems for our industrial and home robots. You will be working closely with the Functional Safety Lead to support safety lifecycle activities and will be leading the development of safety-critical subsystems. This is a high-impact role for an experienced engineer with a proven record of delivering and certifying safety-related systems, preferably in the robotics domain. If you have a strong understanding of functional safety fundamentals & industry standards, innovative thinking, and a capacity for detailed work on complex systems, we'd love to hear from you. WHAT YOU'LL DO - Lead or support activities across the complete safety lifecycle, starting from initial concept all the way to validation and certification. - Lead or support the development of novel safety assurance arguments, for individual subsystems as well as the overall products. - Contribute to safety concept definition and support detailed technical development of safety-critical systems. - Collaborate across disciplines to define, communicate, and validate safety-critical requirements for sensors, controllers, actuators including hardware and software. - Perform safety analyses like FMEA, FMEDA, FTA etc. - Create and maintain technical documentation to support the safety case, such as risk assessments, functional safety concept, safety requirement specifications (SRS), verification & validation plans and test reports. - Ensure compliance with regulations and international standards. WHAT WE'RE LOOKING FOR - 5+ years experience and deep technical expertise in development of safety-critical systems. - Proven record of applying functional safety standards for embedded systems (e.g. IEC 61508, IEC 62061, ISO 13849, ISO 26262 or similar). - Experience with robotics safety standards (e.g. ISO 10218, ISO 13482, ISO 3691-4). - Experience with safety case development and certification, especially for autonomous systems. - Familiarity with safety standards for sensors and actuators (e.g. IEC 61496, IEC 62998, IEC 61800-5-2). - Understanding of AI functional safety standards is a plus (e.g. ISO/IEC TR 5469, ISO PAS 8800 or similar). - Hands-on experience of design, implementation and validation of safety systems for mobile robots or dynamic systems (e.g., AMRs, bipedal robots, exoskeletons, mobile manipulators or robots with collaborative applications). - Strong verbal and written communication skills; author technical documentation, navigate deep technical analysis with expert engineers, and deliver high-level summaries to an executive audience. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: United Kingdom About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Role Type: Full-time Location: United Kingdom About the company Our client is a fast-growing sales acceleration agency based in the UK, specializing in bespoke B2B and B2C telemarketing, lead generation, and appointment setting. Working as an embedded extension of marketing departments for both high-street brands and emerging businesses, the team focuses on non-scripted, natural engagement to drive authentic growth. They pride themselves on a personalized approach to outreach, converting cold prospects into qualified meetings and tangible business opportunities across various sectors. Job Summary This is a high-impact role for a battle-tested cold caller who thrives on high-level B2B engagement. At this company, we don’t do "scripted" telemarketing or "pitch-slapping." We specialize in sophisticated, personalized outreach to Directors of large organizations on behalf of growing brands. We are looking for an independent Appointment Setter who understands the art of the pattern interrupt and can navigate complex conversations to deliver qualified, high-intent meetings. If you are a hunter who takes pride in maintaining a 10/10 standard of English and professional rapport, this is the environment for you to excel. Key Responsibilities Execute high-volume outbound cold calling (targeting ~180 dials per day) to identify and engage key decision-makers. Focus on securing "Sat Qualified" meetings where the prospect joins and meets specific BANT criteria. Utilize tools like Lusha and ZoomInfo to find and dial direct mobile lines for Director-level contacts. Employ permission-based openers and pattern interrupts to move past gatekeepers and engage busy executives. Identify prospect pain points and solve problems rather than reading from a script. Maintain an average of 1.5 hours of talk time daily while managing multiple client campaigns. Manage and document all activity accurately within Microsoft Office and relevant CRM tools. Requirements A minimum of 3 years of pure B2B cold calling experience with a proven track record of booking sales meetings. At least 2 years of experience specifically within the telecommunications (mid-market) sector. Mastery of objection handling and the ability to navigate "Director-level" conversations in large organizations. Demonstrated ability to use permission-based openers (no "pitch-slapping"). Proficiency in Microsoft Office Suite. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference

Location: Annapolis, MD Position Objective: Promotes the delivery of high-quality, cost-effective patient care through clinical expertise, staff education, professional development, evidence-based practice, and quality improvement. Collaborates with nursing leadership, clinical education, interprofessional partners, and clinical staff to plan and implement organizational and departmental priorities. Fosters a climate of innovation through role modeling, consultation, research, change leadership, and the facilitation of learning within assigned clinical practice area(s). Essential Job Duties: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Provides expertise and support to nurses caring for patients at the bedside. Demonstrates expert clinical knowledge and skill in relevant to the assigned clinical practice area(s) and patient populations. Models expert practice to peers, interprofessional team members, health care consumers and learners. Collaborates with nursing leaders, interprofessional clinical leaders, clinical educators, and staff to assess, plan, implement, and evaluate clinical processes, educational initiatives, and staff performance in support of organizational and departmental goals. Assists in developing and evaluating ongoing clinical competencies for staff based on identified practice gaps, new skill requirements, changes in processes or procedures, regulatory requirements, and high-risk or problematic aspects of patient care. Promotes the development of clinical staff by providing learning opportunities appropriate for nurses in different stages of the novice-to-expert continuum. Assess the need, quality, and cost-effective educational programs for staff. Seeks experiences to develop, maintain, and improve competence in nursing professional development. Helps drive practice changes with collaborative partnerships. Provide professional support to internal and external customers during the implementation of new products and change initiatives. Monitors emerging trends, research, quality data, and clinical practice issues; collaborates with stakeholders to develop, implement, and sustain appropriate practice changes. Participates in quality and process improvement activities within assigned clinical practice area(s) and across the organization, including participation in the Clinical Education Council and other applicable councils or committees. Ensure the use of best practices and evidence-based care. Recommends practice changes. Disseminates research findings through educational programs, courses, and other activities. Promotes, encourages, facilitates, conducts and participates in research, evidence-based practice (EBP) and quality improvement (QI) activities. Educational/Experience Requirements: · Master’s degree in Nursing required. · Doctoral degree in Nursing or a related field, such as a DNP or PhD, preferred. · Five years of registered nursing experience in an acute-care setting required. · Significant clinical experience in the assigned specialty or patient population required. Required License/Certifications: · Current licensure as a Registered Nurse by the Maryland Board of Nursing. · Current American Heart Association Healthcare Provider BLS certification. · Current American Heart Association Healthcare Provider ACLS certification, as applicable to the assigned clinical practice area. · Clinical Nurse Specialist board certification and completion of all requirements established by the Maryland Board of Nursing to practice as a Clinical Nurse Specialist. · Maintains membership in an applicable professional organization. · Adheres to organizational credentialing requirements and nursing bylaws. Working Conditions, Equipment, Physical Demands: There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands- Medium Work The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. The above job description is an overview of the functions and requirements for this position.  This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Pay Range $114,000 — $142,000 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As an Account Executive on the Commercial Install Base team, you will own and grow a portfolio of existing Vercel customers. You will lead the full commercial relationship across your accounts, including account strategy, pipeline generation, expansion, renewal, and retention. You will partner with developers, engineering leaders, product teams, executives, and procurement stakeholders to understand what customers are building and connect Vercel to meaningful technical and business outcomes. This is a strategic hunting role within our existing customer base. You will use product adoption, usage signals, company priorities, and thoughtful account research to develop hypotheses, create new conversations, and uncover expansion opportunities. You will also quarterback the broader Vercel team, bringing together Solutions Engineering, Developer Success, Product, and other partners to remove barriers and drive customer outcomes. Success requires commercial judgment, technical curiosity, disciplined execution, and the ability to create momentum when the path forward is not obvious. What you'll do Own the commercial strategy, retention, and growth of a portfolio of existing Vercel customers. Build account plans that identify customer priorities, key stakeholders, current workloads, risks, whitespace, and expansion opportunities. Generate pipeline through proactive prospecting, multi-threading, product usage signals, and thoughtful account research. Build trusted relationships with developers, engineering leaders, executives, procurement partners, and other key stakeholders. Run end-to-end renewal and expansion cycles, including discovery, qualification, technical evaluation, negotiation, and close. Identify customer risk early and develop clear plans to protect recurring revenue. Connect Vercel’s platform to measurable outcomes such as faster product delivery, improved performance, stronger reliability, increased conversion, and greater developer productivity. Partner with Solutions Architects to understand customer architecture, uncover new workloads, and guide technical evaluations. Mobilize Developer Success, Product, Marketing, and executive resources at the right moments to advance customer outcomes. Maintain accurate forecasts, opportunity plans, renewal timelines, and customer context in Vercel’s systems. Use AI, automation, and repeatable workflows to improve account research, prioritization, and execution. Share successful plays, customer insights, and market feedback to help the team improve. What you need We are looking for a commercially driven Account Executive who combines strong sales fundamentals with technical curiosity and a commitment to customer outcomes. In practice, this looks like someone who: Has a history of achieving revenue targets through pipeline generation, opportunity management, negotiation, and closing. Has experience owning and growing existing customer relationships, including renewals and expansion. Proactively creates pipeline rather than relying primarily on inbound demand. Can develop a point of view on an account and turn thoughtful hypotheses into customer conversations. Builds credibility with technical, executive, and commercial stakeholders. Learns complex products quickly and is curious about how modern web and AI applications are built and scaled. Can translate technical capabilities into clear business value. Is comfortable navigating ambiguity, complex organizations, and multi-stakeholder sales cycles. Demonstrates strong account planning, forecasting, and opportunity management discipline. Uses data, customer signals, and judgment to prioritize time effectively. Is coachable, collaborative, proactive, and team-first. Is resilient and energized by complex commercial problems. Bonus if you Have experience growing existing customers in SaaS, cloud, infrastructure, developer tools, or a product-led growth company. Have sold to developers, engineering leaders, product teams, or other technical buyers. Have led expansions across multiple workloads, teams, or business units. Have worked with customers navigating cloud modernization, AI adoption, or application development. Have experience in a high-growth environment where go-to-market motions were still evolving. Use tools such as Salesforce, Gong, Outreach, LinkedIn Sales Navigator, or ZoomInfo. Use AI, automation, or self-built workflows to improve your effectiveness. Aspire to coach others, own increasingly complex accounts, or grow into leadership. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA OTE range for this role is $221,000.00 - $300,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. #LI-KQ1 #LI-DNI Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: ES - Seville, Spain Scopely is looking for a Principal UX designer to join our Monopoly GO! team in Seville (Spain) on a hybrid basis! At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. Monopoly GO! is our casual game and a key franchise that has Scopely’s largest game, enjoyed by millions of players. The team is based in Canada, Europe and the US, and works every day to create captivating new experiences for our players. What You Will Do: In this Principal UX Design role, you work in close partnership with our product and development teams to create new gameplay experiences for players. Own the end-to-end UX strategy and execution for a product area, driving initiatives independently from discovery through implementation Identify opportunities to improve the player experience through product thinking, player insights and data Lead discovery initiatives to deepen our understanding of player behaviors, motivations and opportunities Drive ideation of new concepts, facilitating workshops, brainstorming sessions, conceptual designs and prototypes to validate ideas early Create innovative player experiences while balancing creativity with product goals, technical constraints and production realities Help evolve UX frameworks, principles and design patterns that promote consistency, scalability and high-quality player experiences across the game Champion user research as an essential part of the UX process, partnering with Research to identify risks, define learning objectives and translate findings into product decisions Deliver high-quality designs, prototypes and documentation that clearly communicate the intended player experience to Product, Engineering and Art Build strong cross-functional relationships, proactively driving alignment and helping teams navigate ambiguity to reach the best player-focused solutions Contribute to the growth of the UX discipline by sharing knowledge, raising quality standards and helping build a collaborative design culture What We’re Looking For: 8+ years of experience designing user experiences for games Proven track record of creating impactful gameplay features with deep expertise in game mechanics, player motivations, progression systems, rewards and player psychology Strong product thinking, with the ability to balance player needs, business goals and technical constraints when making design decisions Experience independently owning complex product areas and driving work forward Expertise creating prototypes to validate ideas, identify risks early and iterate quickly Ability to seamlessly move between tactical execution and strategic thinking, ensuring day-to-day design decisions support broader product goals Excellent stakeholder management skills with the ability to challenge assumptions constructively, influence decisions through collaboration and build alignment across disciplines Highly collaborative designer who proactively shares ideas, seeks feedback and contributes positively to team culture Strong communication, diplomacy and relationship building skills, with the ability to navigate disagreements professionally while keeping player experience at the center of decision making Comfortable working in ambiguity, proactively identifying opportunities and taking ownership to move initiatives forward Passion for mentoring, raising craft quality and contributing to the continuous improvement of the UX discipline About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Vietnam Workplace: Remote Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We are looking for a Customer Success Producer to help game studios maximize revenue through monetization, LiveOps, and direct-to-consumer (DTC) strategies. You will work closely with game teams to analyze performance, identify growth opportunities, and drive initiatives across offers, pricing, experimentation, and player engagement. This role combines analytics, strategy, and execution with a direct impact on customer growth and business results. KEY RESPONSIBILITIES Monetization and Growth Strategy - Analyze game performance, monetization, and retention metrics to identify growth opportunities - Develop recommendations for LiveOps, offers, pricing, promotions, and DTC monetization strategies - Design and evaluate experiments to improve revenue, engagement, and conversion - Assess in-game and web store experiences and propose optimization initiatives Customer Success and Revenue Expansion - Partner with game teams to drive measurable business outcomes and revenue growth - Develop and execute DTC adoption and revenue transition plans - Provide strategic guidance on monetization, LiveOps, CRM, and customer engagement initiatives - Identify expansion opportunities and help customers maximize the value of Aghanim's platform Cross-functional Collaboration - Work closely with Product, Data, Engineering, and Implementation teams to execute customer initiatives - Act as the voice of the customer, ensuring feedback and business needs are reflected in product and operational decisions - Contribute to scalable customer success processes, onboarding frameworks, and best practices REQUIRED QUALIFICATIONS - 5+ years of experience in mobile gaming, F2P, LiveOps, monetization, product analytics, or related roles - Strong understanding of game monetization, retention, LiveOps, and player lifecycle management - Experience using data to drive business decisions and improve commercial performance - Advanced proficiency in SQL and Google Sheets - Strong analytical and statistical reasoning skills - Proven experience using LLMs or GenAI tools in professional workflows - Excellent communication skills and ability to influence stakeholders through data and insights - Based in Vietnam and fluent in Vietnamese PREFERRED QUALIFICATIONS - Experience with DTC commerce, CRM, or customer lifecycle tools - Experience with Python for data analysis and automation WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Location: Limassol, Cyprus Workplace: fully Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets. Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, and Kaizen Gaming. Sumsub is recognized as a Great Place To Work® in the US and rated 4.3 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging. We are looking for a DocuSign Workflow Manager to manage and improve our CLM and e-Signature workflows in DocuSign and support financial documentation processes. What You Will Be Doing: Configure and maintain DocuSign CLM workflows, Document Generation Forms, and templates, including conditional routing, approvals, and automated reminders. Diagnose routing, field-mapping, template, signature, and integration issues, coordinating with developers when required. Gather requirements from internal teams and translate them into clear system improvements. Develop and maintain processes for preparing, verifying, categorizing, and archiving financial documents. Maintain documentation on workflows, templates, and system changes. Train internal users on DocuSign processes and best practices. About You: Hands-on experience with DocuSign workflow configuration, template management, and troubleshooting. Experience with DocuSign CLM and e-Signature is a strong advantage. Proven ability to build and improve document management processes. Experience gathering requirements and working with developers or external vendors. Strong logical thinking, organizational skills, and attention to detail. Strong communication skills and confidence training non-technical users. Fluent English. What We Offer: Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours. True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team. Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal. Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online. Compensation. We offer fair and transparent pay, benchmarked to the market. Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide. Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums. Celebrating your big moments. We are proud to support you through life’s biggest journeys with dedicated financial bonuses for both marriage and welcoming a new baby to your family. Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together. Getting you set up. We make sure you have access to the tools and hardware you need to do your work well. Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun. The hiring stages: TA screening -> Hiring Manager Interview -> Final Interview. Sounds like a great opportunity for your career development? Then go ahead and apply! We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively. We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions. We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions. This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting. The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.   Processing 2+ million daily interactions between adjoe's reward engine and its global publisher network The Supply Integrations team builds and operates the services that ensure every user reward is calculated, verified, and delivered, whether that means firing a cryptographically signed HTTP callback in milliseconds or transferring loyalty points through a partner's OAuth-secured payment API. Every callback that lands on time is a reward delivered, a publisher retained, and revenue protected. The team's production surface spans a set of services connecting adjoe to a global publisher network. S2S Payout Callbacks deliver real-time reward notifications with 40+ configurable parameters, secured by per-publisher cryptographic signatures. The Payout Adapter integrates directly with enterprise partner payment systems, handling OAuth2 flows, mTLS, HMAC signatures, and retry logic to guarantee delivery. Our External Statistics API aggregates data from Druid, Athena, and DynamoDB into self-serve publisher dashboards and daily reports. All of this is backed by Go microservices communicating over Kafka and SQS, with state managed in DynamoDB and MySQL, processing over 2 million interactions every day without missing a beat. YOUR MISSION & WHO WE ARE LOOKING FOR - Production Golang Systems Expertise: You bring 5+ years of backend development experience, including at least 3 years writing Go in production distributed environments. You will build and maintain our +99% Go microservice architecture—interfacing with our TypeScript/React frontend—to reliably handle 2+ million daily publisher interactions and scale beyond hundreds of millions of monthly active users. - High-Throughput Event Streaming: You have hands-on experience designing asynchronous microservice communication using event buses like Kafka, SQS/SNS, and Kinesis. You will build pipelines to collect billions of daily API events and aggregate them into our data lake for sub-second querying. - High-Scale Data & API Optimization: You understand database internals and low-level web standards (HTTP protocol, Encoding, Regular Expressions). You will optimize queries across hundreds of terabytes of data across DynamoDB, MySQL, Druid, and Athena to reduce API response times and expose transparent, well-documented open APIs to enterprise partners. - Data Science & Algorithmic Integration: You quickly grasp complex technical topics and applied mathematics. You will partner directly with our Data Science team to translate and integrate machine learning algorithms into adjoe’s core application, optimizing real-time ad targeting. - Collaborative Technical Communication: You communicate fluently and precisely in spoken and written English. You will actively participate in peer code reviews and technical knowledge sharing across an international backend engineering team. - Plus: Infrastructure & Cloud Tooling: Hands-on experience with Terraform (Infrastructure as Code), Docker containerization, or serverless infrastructure. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.   At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Key Responsibilities Develop and maintain core market data modules Design and optimize real-time market data computation and low-latency push pipelines Tune system performance under high-concurrency, high-throughput scenarios to ensure accuracy and timeliness of market data Participate in technical design reviews and code reviews Build system observability infrastructure, including monitoring & alerting, distributed tracing, and logging systems Participate in production incident investigation and post-mortem reviews Requirements 3+ years of Go development experience; solid understanding of Go's concurrency model, memory model, and GC mechanics Experience designing high-concurrency, low-latency systems; familiar with common performance bottlenecks and optimization techniques Familiar with message queues (Kafka / Redis Streams, etc.) in data streaming architectures Proficient with real-time data transport protocols such as WebSocket and gRPC Strong engineering discipline — clean code structure and a habit of conducting code reviews Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: London The Role We are looking for a Senior Engineer to join our growing engineering team, and build out our backend third party integration systems as we scale. For us, this isn’t just about technical performance, but also supporting the internal human processes that will always power much of our product. You will work closely with Product, Operations, Customer Support, Growth and other functions to design and build out a reliable, performant, and secure platform for handling remittances across countries. As an early member of the team, we hope you will also have a lot of impact on our team culture, processes and norms. Taptap Send is a cross-platform mobile app developed with React Native and TypeScript, which talks to a backend service written in Kotlin and backed by a PostgreSQL database, all of which runs on AWS and is managed via Terraform and Ansible. This is a backend-focused role, but you will have plenty of opportunities to work across the stack to bring Taptap Send's industry-leading product to new countries.. We’re an encouraging environment that values both teamwork and autonomy, and have many exciting upcoming challenges, including: scaling up to handle increased volume and complexity, helping our analysts derive business and product insights to drive growth and retention, building internal tools for our customer support and acquisition efforts, and much more!   Your Responsibilities: - Build out unified interface encapsulating dozens of third party payment integrations - Work on one of the pillar revenue centers of the organization - Take ownership of backend system architecture and implementation - Build performant and resilient data flows; keeping security in mind during every step - Work closely with product team to regularly ship working features - Work in an iterative fashion - Evaluate and deliver timeline estimates   Requirements: - 7+ years of professional experience building backend systems - Proficiency with Kotlin or Java / JVM - Proficiency with PostgreSQL - Experience with AWS: S3, SQS, SNS, Lambda, etc. - Experience implementing and managing elaborate integrations with third-party APIs - Experience working on systems that have real-world performance and reliability constraints - Experience developing software in a collaborative, multi-functional, and fast-paced environment - Strong communication and ability to manage conflicting priorities, setting expectations with stakeholders and be a driving force   Ideally: - Experience working with Infrastructure as Code technologies, like Terraform and Ansible - Experience with SRE or similar infrastructure work - Experience with Data Engineering concepts and workflows - High personal code/development standards (code review, unit testing, documentation, etc.) About Us   We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling local economies, and changing how millions access financial services.   Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.   We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.   Here’s a little more: - Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world) - Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more - Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission - Truly global team - 250+ people, 50+ nationalities, 50+ languages - Guided by our values - ownership, impact, humility, and heart - in deed, not just word   TAPTAP VALUES https://www.taptapsend.com/our-values Impact first Team next Accept reality Propose solutions Win with grit Be proactively candid, with yourself and others Love the particular Own it Create positive energy Maybe, even have fun   Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply. If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements. Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.

Location: Istanbul, Turkey P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower mobile operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across more than 87 mobile operators in 60 countries around the world. Being an important part of our Product Design team based in Istanbul, Software Product Design Engineer (Product Owner) are responsible for turning our customers’ network automation and management requirements into solutions. They prototype our telecommunication software products, define their specifications, design their user interfaces and follow up end to end development process. Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide. Job Description: Extract business use cases, do analyze the value, validate studies, and provide a competitive roadmap Conduct presentation/demonstration to the potential customers by providing technical details and value offers about the network management solutions Develop technical specification documents for network management products based on mobile operators’ requirements & needs worldwide Design user interfaces, back-end structure, usage workflow, concept sketches, and high-fidelity wireframes by using design tools Test and validate solutions based on technical requirements and user experience Track issues over Issue Tracking Solutions and keep the knowledge database updated Collaborate with the development, integration, quality assurance, project management and customer support departments to evaluate or diagnose problems and recommend viable solutions. Organize product design reviews meetings with subject matter experts (SME) to validate requirements analysis and proposed solutions Required Qualifications: Having an engineering degree in relevant university departments such as Electrical, Electronics, Communications, Computer, or Software Engineering Minimum 2 years of experience in the mobile telecommunication field Hands-on experience with various mobile network management products including network optimization, planning, self-organized network, geo-location, performance management, configuration management, fault management. Excellent verbal and written communication skills in English is a must Strong product mindset, passionate about experiencing new technologies and applying to business for improvements Understanding fundamental database concepts and good command of SQL is a plus User-experience and user interface design experience is a plus

Location: Al Jubail, Saudi Arabia; Cairo, Egypt; Dubai, United Arab Emirates; Al Khobar, Saudi Arabia; Lusail, Qatar; Kuwait City, Kuwait We are seeking an experienced Drilling Rig Foreman to join the Unconventional Resources Drilling Department (URDD). The successful candidate will be responsible for supervising and overseeing the daily operations of land drilling and workover rigs performing programmed activities on deep or critical wells, including wells ranging from approximately 18,000 to 23,000 feet . The Drilling Rig Foreman will ensure that all drilling and workover activities are conducted safely, efficiently, and in accordance with company requirements, Saudi Aramco safety standards, applicable procedures, and contractual obligations. Key Responsibilities Supervise and oversee daily drilling and workover rig operations. Ensure all rig personnel, contractors, and service providers comply with Saudi Aramco safety standards and requirements. Monitor and supervise all operations performed on the well site. Ensure drilling and workover activities are carried out safely, efficiently, and in accordance with approved programs and procedures. Serve as the primary liaison between the company and the drilling/workover contractor. Administer and monitor contractor compliance with all contractual requirements. Coordinate the delivery of well materials, equipment, and other required resources to ensure availability when needed. Make recommendations regarding alternative methods, procedures, or equipment when unusual or challenging situations arise. Work closely with Drilling and Workover Engineers to ensure that modern and approved drilling practices are followed. Review and approve the contractor’s daily tour reports. Ensure that the contractor’s rig and equipment are properly maintained to minimize downtime. Ensure compliance with Saudi Aramco Blowout Prevention (BOP) standards, including equipment configuration, testing, and crew response. Ensure that all rig personnel are properly trained and prepared to respond to well control and emergency situations. Monitor contractor performance and ensure compliance with safety, operational, and contractual requirements. Perform other duties and responsibilities as directed by the supervisor or superintendent. Requirements Minimum 13 years of relevant experience in drilling and workover operations, including supervisory experience on a drilling or workover rig; or a Bachelor’s Degree in Engineering with a minimum of 7 years of relevant experience. Proven experience in land drilling and workover operations, preferably involving deep or critical wells. Strong experience in supervising drilling rig crews, contractors, and service providers. Good knowledge of well control operations and Blowout Prevention (BOP) standards, including equipment configuration, testing, and crew response. Strong understanding of Saudi Aramco safety standards, HSE requirements, and drilling/workover procedures. Willingness to work in remote locations and mobile camps on a 28 days on / 28 days off rotational schedule, working 12 hours per day.

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving model quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model-and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities : Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend practical serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend inference engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV -cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill/decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization queuing, request characteristics, and KV-cache locality while meeting latency and reliability targets Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism - including wide expert parallelism (WideEP) - with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring for TTFT , TPOT , tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel engineers and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves : Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM , or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication skills and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice - to - have s : Experience with quantization-aware training, post-training quantization, FP8 , INT8 , INT4 , NVFP4 , MXFP4 , AWQ , GPTQ , SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving including tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate's primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, Infiniband, or RoCE. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-BH3 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities : Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves : A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice - to - have s : First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is building an AI training and model post-training capability for frontier model improvement. This role owns the infrastructure that makes large-scale training and RL experiments possible, reliable, reproducible, and efficient. The work sits at the intersection of distributed systems, GPU performance, model training frameworks, RL pipelines, and production engineering. A Senior Machine Learning Engineer owns substantial ML work end to end. They can translate an ambiguous capability goal into concrete experiments, implement and debug training and RL recipes, build the supporting data and systems, and deliver measurable improvements in model quality, experiment throughput, and reliability. They are deeply hands-on and can independently debug both model-behavior failures and distributed training failures. Your responsibilities : Design and run model-training and post-training experiments, including SFT , continued pretraining, preference optimization ( DPO /IPO/ KTO ), and RL methods such as RLHF / RLAIF , PPO , and GRPO . Build reward functions, judge models, verifiers, task environments, and evaluation sets for reasoning, coding, tool use, and agentic workflows. Create synthetic data and data pipelines, including teacher-student generation, self-play, rejection sampling, filtering, and quality scoring. Analyze model-behavior failures and turn them into targeted data, reward, or algorithm improvements. Build and maintain distributed training and RL infrastructure using frameworks such as Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, verl, slime, AReaL, or OpenRLHF. Implement and debug parallelism strategies (tensor, pipeline, sequence/context, expert, and data parallelism) and build reliable rollout, reward-serving, checkpointing, and experiment-orchestration components. Profile and improve GPU utilization, memory usage, communication efficiency, training throughput, and inference/serving performance. Design rigorous evaluations and ablations for capability, instruction following, reasoning, tool use, safety, and regression risk. Write clear experiment plans, design docs, benchmark reports, and runbooks, and partner across research and platform teams. Must-haves : Strong Python and PyTorch engineering skills, with the ability to move quickly from idea to experiment to working system. Hands-on experience across at least two of: model training, post-training/ RL , applied modeling, data pipelines, or large-scale ML systems. Ability to design rigorous experiments with baselines, ablations, metrics, and failure analysis. Practical understanding of modern LLM behavior, instruction tuning, preference optimization, and evaluation challenges. Practical understanding of transformer training bottlenecks, memory pressure, communication overhead, and checkpointing. Ability to reason quantitatively about model quality, throughput, utilization, reliability, cost, and research velocity. Strong communication skills and ability to collaborate with researchers, engineers, and leadership. Nice - to - have s : Experience with LLM post-training, RL , agents, reward modeling, synthetic data, or model evaluation. Experience with RL frameworks or pipelines such as verl, slime, AReaL, OpenRLHF, TRL , or custom PPO / GRPO / RLHF systems. Experience with Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, Slurm, or Kubernetes on large GPU clusters. Familiarity with NCCL , CUDA , Triton, Nsight, InfiniBand/ RDMA , and H100/H200/B200 clusters, or with model serving and inference optimization. Publications, open-source contributions, or production impact in LLM post-training, RL , reasoning, coding models, synthetic data, distributed training, or evaluation. Experience designing agent environments, tool-use tasks, or verifier-based rewards. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Toronto, Canada 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. About this role:   We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.   There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!   What you will do in a typical day: - Tackle interesting performance and scalability challenges. - Meticulously refactor bunches of reports decimating code size and run time while preserving results. - Intelligently manage tech debt while simultaneously delivering new features for the business. - Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core. - Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty - Be a proponent for continuous improvement, architecture, clean code, and good systems design - We use Github for source control and Jira for project management - We review PRs! (usually) and ship often. What you can bring: - Experienced C# developer. - Be able to code in C#, SQL and occasionally in Ruby. - Big Plus: Comfortable reading and modifying Javascript/React. - Friendly - You will be working in cross function with a lot of cool people! - Love for data - Our platform provides data intelligence for the digital economy! Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:   - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent.   Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory   https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers 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: Vancouver, Canada Workplace: Hybrid 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. About this role:   We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.   There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!   What you will do in a typical day: - Tackle interesting performance and scalability challenges. - Meticulously refactor bunches of reports decimating code size and run time while preserving results. - Intelligently manage tech debt while simultaneously delivering new features for the business. - Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core. - Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty - Be a proponent for continuous improvement, architecture, clean code, and good systems design - We use Github for source control and Jira for project management - We review PRs! (usually) and ship often. What you can bring: - Experienced C# developer. - Be able to code in C#, SQL and occasionally in Ruby. - Big Plus: Comfortable reading and modifying Javascript/React. - Friendly - You will be working in cross function with a lot of cool people! - Love for data - Our platform provides data intelligence for the digital economy! Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:   - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent.   Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory   https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers 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.