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Location: Europe About product Memowrite is a web-based platform that helps people turn their life stories into professionally crafted, printed hardcover memoirs — and leave a legacy that outlives them. Users answer guided prompts and add photos, while Memowrite's editorial team shapes it all into a beautifully designed keepsake book that families treasure and pass down for generations. No writing skills required — just the memories worth keeping. The product is part of Kilo Group (UAB Kilo Grupė) — a Lithuanian digital health and wellness ecosystem, one of the fastest-growing companies in Europe (FT1000 ranking), with 15+ products and 4M+ customers worldwide. Offices in Vilnius, Barcelona and other European cities. We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, and we may help to find the right ones. Currently, we are looking for an experienced User Acquisition Manager to join one of toogeza’s clients. About the Role We're looking for a User Acquisition Manager to join the Memowrite marketing team. This is a high-impact individual contributor role with a clear path to team leadership. You'll be working with real budgets — $ХM+ month. We already have unit economics. We're not at the R&D stage — we're scaling. Your job is to make that scaling efficient, measurable and fast. What You'll Do - Manage and scale paid acquisition campaigns primarily on Meta, with expansion to Google Ads and other channels - Work in parallel on two streams: creative hypothesis testing (in collaboration with the creative team) and audience/targeting optimization - Collaborate closely with the CRO team to improve conversion across the funnel - Brief the creative team on hypotheses and contribute to the creative direction — you don't produce creatives, but you know what works and why - Track, analyze and report on performance using internal analytics and attribution tools - Contribute to evergreen campaign strategy and seasonal activations (Black Friday, Q4) - Identify new audience segments and geos for scaling What We're Looking For Must Have - 2–4+ years of experience in paid user acquisition (Meta — must) - Experience managing budgets of $300K+ monthly. You will be working with $1M+ monthly spend. - Strong understanding of white-hat verticals — no gambling, no grey niches - Hands-on experience with web funnels and subscription-based products - Confident working with analytics: Looker Studio, Tableau, Power BI or similar - Understanding of attribution models — experience with tools like Northbeam, Triple Whale or similar - Experience collaborating with creative and CRO teams - Fluent English (working language of the team) Nice to Have - Experience with user acquisition automation and auto-rules is a plus - Experience with Google Ads - Applovin experience — strong plus - Additional European languages (Spanish, French, German, Italian, Portuguese) - Experience across multiple geos and audiences What We Offer - $300K–$1M+ monthly budget to manage — real scale from day one - Clear path to leadership: this role can grow into leading a media buying team - Quarterly performance bonus tied to company results - A small, focused, non-toxic team — fast decisions, no bureaucracy - Office in Vilnius or Barcelona — or fully remote (GMT+3 preferred) - Annual international work retreats - Part of Kilo Group ecosystem — strong infrastructure, advanced tooling, senior talent around you Hiring Process 1. Screening Interview — toogeza 2. HM Interview 3. Test task (3 days) 4. Bar-raising Interview 5. Offer

Location: Remote, US MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. This is a senior product role on a small, high-leverage product team. You'll own key pieces of the product line — from how we position it, to how we price it, to how the field sells it. You'll work closely with engineering and be the person Marketing and Field teams looks to for the answer to "why us, why now”. We need a product leader who lives close to customers and to revenue, who can hold a deeply technical conversation with multiple stakeholders - from technical buyers to executives, and who treats GTM as a first-class part of the product — not something that happens after the product is "done." What You Will Do: Growth strategy for AI — where we play, who we sell to, how we win, and the sequencing of bets that gets us there The customer and buyer motion — being in front of inference platform teams, data platform leads, and the buyers who decide. Joining strategic deals. Running the win/loss loop and feeding it back into strategy. Positioning and narrative — partnering with Marketing on how the AI stories land in market, what we publish, and how a first-time buyer encounters MinIO Field partnership — building the assets sellers actually use, supporting the deals that matter, making sure the field can run an inference-buyer or lakehouse-buyer conversation confidently Pricing and packaging — how MinIO portfolio products are packaged, how the AI and Analytics motions are priced differently if they should be, and how we capture value as workloads grow Competitive intelligence — knowing the AI training inference competitive landscape, and shaping how we differentiate Partner GTM for AI — the AI ecosystem is partner-heavy, and unlocking it is part of the role Influence on the product — through customer signal, pipeline data, and competitive insight you will be the most informed external voice in the room to influence direction. Your Skills and Experience: 8+ years in product management, with at least 3 years on infrastructure, data, or AI/ML products sold to technical buyers Demonstrated fluency in modern AI and analytics stacks — you don't need to have trained a foundation model, but you should be conversant in how training and inference pipelines actually consume storage, key tradeoffs and why it matters, and how data platform teams make build/buy decisions A track record of working closely with field teams on real revenue — you've sat in on deals, you've built enablement that sellers actually used, you've changed a deal's outcome with a well-timed product conversation Partnership with marketing on crafting compelling narratives, presented at external conferences, webinars Strong analytical instincts — you reach for data to test your hypotheses, not to confirm them The ability to write clearly and think rigorously in writing. Most of the work that compounds in this role is written Excellent partnership with engineering — you've earned engineers' trust before by being technically credible and by making prioritization defensible Real comfort with pricing and packaging decisions  — if you've owned or co-owned them, not just commented on them, that's a big plus Background in storage, analytics, databases, or data infrastructure If you have been an AI/ML Engineer with deep expertise in the data infrastructure stack we would love to talk to you. Experience with open-source-adjacent commercial products and the unique GTM motions they require Prior experience at a high-growth infrastructure company What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: USA (Remote) Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. THE ROLE We’re hiring a Senior Dealmaker to shape and lead AI partnerships for Walrus, Mysten Labs’ decentralized storage network, across the ecosystem. As AI agents take on more complex work, they need infrastructure that helps them retain context, handle sensitive information, and maintain a trustworthy record of their actions. With Walrus as the foundation for decentralized storage and persistent memory, we’re building toward that future with a broader stack that includes confidential compute—supporting product reliability and compliance as agents operate in the real world. Your job is to determine where Walrus and these complementary capabilities can create the greatest value, build relationships with the right partners, and structure agreements that lead to meaningful integrations and adoption. You’ll focus on foundation model companies, AI platforms, data platforms, and adjacent infrastructure providers. Working closely with the Head of Partnerships and Walrus product and engineering leadership, you’ll help set partnership priorities and independently lead complex opportunities from initial thesis through implementation. This is a senior individual contributor role with substantial ownership, requiring strategic judgment, commercial creativity, and hands-on execution. WHAT YOU’LL DO - Shape our AI partnership strategy. Develop a clear perspective on where Walrus can become essential infrastructure for AI applications and agents. Identify the partners, use cases, and market developments that should guide our investment of time and resources. - Originate consequential partnerships. Build relationships with founders, executives, and technical decision-makers at foundation model companies, AI platforms, agent frameworks, data platforms, and adjacent infrastructure providers. Create opportunities before there is an established partnership motion. - Define the opportunity alongside the partner. Understand how partners build, what their customers need, and where our technology can solve a meaningful problem. Work with product and engineering leadership to shape joint offerings, integration proposals, and commercial models. - Structure and close complex deals. Lead negotiations involving technical integrations, joint product development, distribution, and commercial agreements. Navigate competing priorities and create structures that give both organizations a compelling reason to commit. - Deliver integrations and adoption. Own relationships beyond signing. Align teams on scope, resources, and milestones; resolve obstacles; and keep partnerships moving toward implementation, launch, and sustained usage. - Influence across the organization. Bring partner and market insights into product, engineering, marketing, and leadership discussions. Make clear recommendations, surface tradeoffs, and build alignment around opportunities that require investment across teams. - Establish a repeatable approach. Turn early wins into sharper partner selection criteria, stronger deal structures, and more effective execution. Raise the quality of partnership work through sound judgment, shared learning, and mentorship. WHAT YOU’LL HAVE - Substantial experience in strategic partnerships or business development, typically 10–15+ years, with demonstrated ownership of strategically significant relationships in AI, data infrastructure, or developer platforms. - Deep engagement in the AI ecosystem, including strong relationships with founders, executives, and product and technical leaders at relevant companies. - A proven record of independently originating, structuring, negotiating, and closing complex partnerships that produced meaningful integrations, joint offerings, distribution, or adoption. - The judgment to identify which opportunities deserve investment, articulate a compelling partnership thesis, and walk away when the strategic or commercial fit is weak. - Strong product instincts and technical fluency. You can engage engineers on architectures and agentic workflows, uncover a partner’s underlying needs, and connect technical capabilities to business value. - Credibility in the startup community and firsthand experience building with limited structure, resources, or established processes. You can point to opportunities you personally created and brought to market. - The ability to think at enterprise scale while executing with startup urgency. You’re comfortable navigating executive stakeholders and handling the details needed to get an integration live. - A track record of influencing senior stakeholders and aligning product, engineering, legal, and commercial teams without relying on formal authority. - Creative commercial judgment, a bias for action, and accountability for outcomes through implementation and adoption. - Curiosity about decentralized infrastructure and the ability to become fluent quickly. Prior Web3 experience is welcome; substantial AI ecosystem experience is essential. - High ethical standards, direct communication, and comfort adapting as the product and market evolve. - Ability to travel approximately 20% of the time, including internationally. Location: San Francisco Bay Area preferred. We may consider exceptional candidates elsewhere who are deeply embedded in the AI ecosystem. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers people to perform at a higher level through a deeper understanding of their bodies and daily lives. We handle massive amounts of data continuously streaming up to the cloud from people improving their health and wellness to the world’s greatest sports teams and athletes mandating a fault-tolerant and highly available product. The Connectivity Software Team builds the critical link between WHOOP hardware, the iOS app, and the cloud. As an iOS Software Engineer on this team, you’ll design and implement the software that enables WHOOP’s wearable sensors to communicate seamlessly with the mobile platform. You’ll develop and optimize connectivity experiences that are robust, efficient, and invisible to the member — ensuring reliable data flow across our entire ecosystem RESPONSIBILITIES: - Architect, design, implement, and maintain iOS application components that interface directly with WHOOP hardware over Bluetooth Low Energy (BLE), Wi-Fi, or other communication protocols. - Define and evolve the iOS software architecture and communication protocols, maintain comprehensive documentation, and drive consistency across iOS and Android implementations. - Drive continuous improvement of performance, power efficiency, and reliability in the WHOOP connectivity software layer including background and system-level iOS services to enable reliable device connectivity, synchronization, and data transfer. - Champion strong software architectural principles for testable, scalable, maintainable software on your own team and across the organization. - Own and maintain a clear, prioritized backlog focused on code health, technical debt reduction, and testability improvements. - Raise the bar and champion higher engineering standards through prompt code review, increased test coverage, and improved design practices. Hold teammates accountable. - Represent the Connectivity iOS team in cross-functional settings such as bug triage, product syncs, firmware coordination, and guild representation. - Participate in the release process including getting the app built, managing build variants, signing, sending and testing through Firebase, and submitting to the App store QUALIFICATIONS: - BS or MS in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience. - 5+ years of professional iOS software engineering experience with a solid foundation in Swift, iOS system APIs, concurrency, and memory management. - Hands-on experience with Combine and background task processing for non-UI iOS features. - Demonstrated examples influencing other engineers in the application of architectural and platform-based software design principals to build scalable, modular, testable software.  - Experience debugging and diagnosing issues across complex or distributed systems (for example: firmware, mobile, backend) is a strong plus. - Excellent collaboration and communication skills, driving cross-functional problem solving, tradeoff definition, and optimization. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $170,000-$230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Washington, D.C.; Los Angeles, CA; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details Job Title: Data Labeling Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in Turkish Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Washington, D.C.; Los Angeles, CA; Boston, MA; Massachusetts Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details Job Title: Data Labeling Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in Arabic Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

Location: Europe We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones. Currently, we are looking for AI Video Agent Engineer for Elva. Location: Remote Job Type: Full-Time OVERVIEW: We are building an AI-driven video production system designed as an intelligent multi-agent orchestration layer capable of transforming raw ideas and references into fully structured video content. The system operates as a black-box creative engine for different types of users: - professional video creators - casual users - creators of short narrative concepts Users provide an idea, references, or media fragments, and the system automatically orchestrates multiple AI agents responsible for analysis, scripting, editing, and production of video content. We are looking for an engineer who can design and implement multi-agent pipelines, orchestrate AI tools, and build intelligent workflows that combine video analysis, storytelling logic, and automated editing. This role sits at the intersection of AI systems architecture, creative tooling, and multimodal content generation. RESPONSIBILITIES: AI Agent Architecture Design and implement the architecture of a multi-agent video editing system including agents responsible for: - video analysis - narrative generation - editing orchestration - production and output synthesis Define system prompts, behavioral rules, and structured instructions for agents interacting within the pipeline. Pipeline Orchestration (n8n) Develop and maintain complex orchestration pipelines in n8n, including: - multi-agent workflows - tool-calling logic - dynamic routing between tools and models - context passing between agents Pipelines must be capable of selecting the most appropriate models, tools, and strategies depending on the task. Multimodal Data Processing Design robust pipelines for handling: - video materials - image assets - user text prompts - structured metadata Ensure proper data transformation and context transfer across the pipeline stages. Tool & API Integration Integrate both external and internal APIs for multimodal generation and processing, including: - image generation - video generation - speech synthesis - audio generation - video processing services Rapidly evaluate available APIs and select the best quality tools and models for each task. Model Orchestration & Optimization Tune and optimize model interactions, primarily based on Gemini models, including: - prompt engineering - structured outputs - tool-calling workflows - agent collaboration logic Optimize pipelines for quality, reliability, and execution efficiency. Future Architecture (RAG & Knowledge Systems) Design systems that support: - vector databases - retrieval-augmented generation (RAG) - memory and contextual reasoning between agents EXPECTED OUTCOMES: The pipeline system should be capable of: 1. Taking an idea + references as input 2. Analyzing the content 3. Generating a coherent narrative structure 4. Selecting appropriate visual and audio elements 5. Producing a high-quality, structured video output REQUIREMENTS: AI Systems & Agent Architecture Strong experience building multi-agent systems, including: - intent and sub-intent modeling - agent orchestration - agent communication and transport layers - summarization pipelines - context passing between agents Workflow Orchestration Hands-on experience with: - n8n - Agent tool-calling - n8n MCP Experience designing complex automation pipelines is essential. Programming Strong practical coding skills with vibe coding mindset: Primary languages: - Python - JavaScript Bonus experience: - ComfyUI custom nodes - lightweight APIs (e.g., HuggingFace Spaces or inference endpoints) Multimodal Tooling Knowledge Ability to quickly navigate API documentation and integrate tools for: - image generation - video generation - speech synthesis - audio generation - multimodal analysis You should know where and how to obtain the best generation quality for each modality. Creative Thinking - Strong sense of visual rhythm and composition - Creative intuition and storytelling awareness - Good taste in video structure and montage - Ability to evaluate AI-generated output not only by metrics, but also by creative quality and narrative coherence Video & Media Processing Preferred experience with: - FFmpeg - video processing pipelines - image processing workflows NICE TO HAVE: The following qualifications are not mandatory, but will significantly strengthen a candidate’s profile during the evaluation process: Agentic Frameworks Deep understanding of frameworks such as LangGraph and LangChain for building complex cyclic state graphs and stateful agent systems. Advanced RAG & Memory Management Experience designing long-term memory systems for agents, including mechanisms for storing and retrieving successful execution patterns or scenarios to improve future performance through experience-based retrieval. Self-Correction & Reflection Experience building agents with feedback loops such as self-reflection, self-critique, or strategy correction, enabling them to verify their own actions and adapt execution logic dynamically. Evaluation & Observability Experience with tools for monitoring, debugging, and evaluating agent chains and prompt behavior, such as LangSmith, Arize Phoenix, or Promptfoo, with the ability to identify logical failures, quality regressions, and orchestration bottlenecks. IDEAL CANDIDATE: The ideal candidate is someone who naturally operates between engineering and creative production, capable of building systems that automate complex media workflows while preserving narrative coherence and aesthetic quality. You enjoy designing systems where AI agents collaborate to produce meaningful creative outputs. What’s next? If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider. We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

Location: Ivrea, Italy D-ploy is a leading IT and Engineering Solutions company with operations worldwide. Our mission is to deliver innovative and D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Role overview: Provide onsite support for OT and automation systems, including PLC, SCADA, HMI, communication modules, and related industrial control systems. The role focuses on troubleshooting, incident resolution, system recovery, patching, backups, and compliant change execution in line with site QMS and GAMP 5 requirements. Responsibilities Support OT systems, incidents, service requests, and change management activities Troubleshoot PLC, SCADA, OPC/PI, and industrial communication issues Work with Siemens environments: TIA Portal, WinCC, Step 7, Step 5 Support Siemens PLC systems and automation infrastructure Support Beckhoff automation systems (optional) Support DeltaV systems and automation components (optional) Analyze PLC CPU and communication diagnostics Resolve software, firmware, configuration, and communication issues Perform firmware, memory, and module health checks Support OT patching, firmware upgrades, and software updates Restore system communication and perform recovery actions Support PLC programming modifications and control logic adjustments Configure and maintain HMI/SCADA applications Participate in commissioning, FAT, SAT, and validation activities Support automation projects, upgrades, and system integrations Trace I/O and field signals using E&I drawings and technical documentation Perform OT backups, restore procedures, and disaster recovery support Maintain validated system baselines and technical documentation Execute and document changes according to QMS/GAMP 5 procedures Coordinate with Engineering, Automation, IT, Production, Quality, OEMs, and vendors Support OT cybersecurity, access control, and system hardening activities Requirements Experience with OT, industrial automation, or control systems environments Strong knowledge of PLC and SCADA systems Hands-on experience with Siemens TIA Portal, WinCC, and Step 7 Experience with Step 5, Beckhoff, or DeltaV is an advantage Knowledge of industrial communication protocols such as OPC, PI, Ethernet/IP, Profinet, and Profibus Understanding of PLC CPUs, I/O modules, firmware, and diagnostics Experience with OT patching, backups, restore procedures, and change control Ability to read E&I drawings, loop diagrams, I/O lists, and network diagrams Experience in GMP/GxP or validated environments Understanding of GAMP 5 and QMS processes Familiarity with OT cybersecurity concepts Strong troubleshooting and documentation skills Ability to support production-critical systems onsite Benefits Broad range of activities, tasks, and projects Flexible working conditions Vouchers (B-day voucher, wedding, and new born surprise) Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Is IT in your DNA?

Location: London, England - Office MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. MariaDB now includes GridGain, a leader in in-memory computing, extending MariaDB to handle the extreme-velocity data requirements of autonomous AI agents. The Opportunity The Enterprise Account Executive is responsible for increasing sales from current and new MariaDB services within multiple customer segments. The ideal candidate will own the full sales cycle by engaging with customers continually throughout their adoption of MariaDB. A successful candidate will generate and maintain active engagements with customers and prospects, as well as consistently meet and exceed sales quotas. Responsibilities Drive the right customer solutions Close business with existing and new customers Work effectively in a highly collaborative and fast-paced environment Maintain an accurate, robust pipeline and forecast of business opportunities Understand the technical requirements and certifications specific to the prospect or customer Manage and accelerate the sales pipeline by engaging with prospects, partners and key customers Set a strategic sales plan for your territories in line with the MariaDB strategic direction Prepare and deliver business reviews to the senior management team regarding quarterly strategies Follow up with leads in your territory within company SLAs, using relevant messaging via phone, email and social media Must be willing to travel up to 20% to various company and customer locations Qualifications Sales hunter, focused on new and expansion business who is persistent, tenacious and self-disciplined with a track record of managing time efficiently and meeting personal goals Proven ability to manage large enterprise opportunities, while closing transactional business Ability to champion inside of key accounts Sales acumen to run complex sales cycles 7+ years’ database/data management, DBaaS or cloud sales experience Background in selling enterprise cloud database solutions preferred Experience selling open source software solutions is preferred Proactive and optimistic spirit with strong interpersonal communication skills Demonstrated ability to effectively communicate the business value of complex enterprise solutions Experience with prospecting and opportunity development using tools such as Clari, Salesloft, Salesforce.com, Nooks, Marketo and ZoomInfo Bachelor’s degree or equivalent practical experience Bonus Experience and Skills Knowledge and understanding of cloud databases or data integration technologies Experience working with and managing partners in complex implementation projects including global system integrators and packaged software vendors Working understanding of relational, distributed and analytic databases Experience with large complex commercial and legal discussions working with procurement, legal and business teams Experience working at a growth startup Track record working effectively with internal, partner and customer teams Location Remote - UK - London, England What’s in It for You? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, salary and Commission, 25 days of paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. Salaries for candidates outside the U.S. will vary based on local compensation structures. Compensation Salary Range : 100,000–120,000 GBP annually (gross) Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our compensation framework. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Обязанности: • разработка и сопровождение AI-агентов для автоматизации процессов оценки кредитного риска • интеграция LLM и ML-моделей в агентные пайплайны (оркестрация, tool-calling, memory, RAG) • проектирование агентных архитектур: определение инструментов, стратегий и логики принятия решений • написание технической документации: описание агентов, регламенты, схемы взаимодействия. Требования: • опыт разработки на Python от 3 лет, особенно в контексте написания бизнес-логики или скриптов автоматизации • уверенное и архитектурных паттернов • опыт работы с агентными фреймворками: LangChain, LangGraph, AutoGen, CrewAI или аналоги • понимание ML (train/inference): xgboost, catboost, lightgbm, pytorch — опыт интеграции моделей в продуктовые системы • работа с Python-библиотеками pyspark / pandas / numpy для анализа данных • опыт работы с HTTP(S), RESTful API (интеграция агентов и моделей с внешними сервисами) • опыт работы с Docker; базовые знания Kubernetes и Helm • опыт работы с Git Условия: • комфортный современный офис рядом с м. Кутузовская • график работы- гибрид • ежегодный пересмотр зарплаты, годовая премия • корпоративный спортзал и зоны отдыха • более 400 образовательных программ СберУниверситета для профессионального и карьерного развития • расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа • гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ • бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров • вознаграждение за рекомендацию друзей в команду Сбера.

Location: United States, Remote Are you on a mission to create games that bond players together into deeply invested communities? Do you spend your time thinking about how different game mechanics can come together to create emergent, dynamic, and frankly hilarious social moments? Are you excited to make gameplay that strongly cares about player intention, action game feel, and expressive communication? We are seeking a highly technical, creative, and team-oriented contract Staff Gameplay Designer to contribute a new multiplayer action game on teamLFG. You will work closely with the entire Design Team prototyping, exploring, and implementing player avatars and their suite of verbs for the social area of a competitive PvP game. You will collaborate with team members from other disciplines to drive cohesive gameplay vision. You will help build the systems that enable our game to become a third place. Most importantly, you will work with a fun, dedicated, and cross-disciplinary team devoted to turning a creative dream into a new franchise at PlayStation. RESPONSIBILITIES • Build and maintain the avatar movement and core sandbox systems that enable cooperative social gameplay and player expression, while building trust between players • Build the systems to allow for avatar customization, creating extensible opportunities for player investment and a progression economy, as well as player self expression and customization • Build compelling gameplay experiences through reusable sandbox mechanics, especially 3C (Character, Camera and Controls) design and implementation • Create endearing NPCs that improve IP quality, consistency, along with sandbox design principles • Work with audio, effects, and animation to clearly communicate gameplay affordances to players REQUIRED SKILLS • Understanding of how modern multiplayer social games can leverage an intuitive and expressive action sandbox to create memories between players • Fluency for collaboration with designers, artists, programmers, audio professionals, quality assurance and producers to achieve a common goal, with adaptability for how to work in a flexible work environment • Broad T-shaped rapid prototyping skills, with enough multi-disciplinary knowledge to quickly stub out gameplay ideas to evaluate their potential • Strong technical scripting skills and understanding of how to structure game design tools to unlock player expression, content variety, and execution speed • Strong understanding of character motion and animation; momentum, timing, and their impact on player communication and tone • Proven ability to build alignment and productively own feature direction without sacrificing empathy and collaboration with team contributors • Ability to operate autonomously and handle ambiguity, including giving and receiving feedback despite that ambiguity • Ability to create plans and evaluate them for meeting the experiential needs of the players and markets • Outstanding oral and written communication skills • Demonstrated understanding of how systemically consistent, combinatoric game design can create player surprise and laughter Bachelors degree or equivalent PREFERRED EXPERIENCE • Experience as a Staff Sandbox/Gameplay Designer on AAA or large-scale online action games, designing, documenting, and building character customization systems • Experience delegating work or ownership of an area to multi-disciplinary peers • Experience with social/cooperative game design and balancing for an active player base At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. The estimated base pay range for this role is listed below, this is an hourly rate. $76 — $115 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Location: Hamburg 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. Creating solutions that run on 13% of the world’s smartphones The Mobile Integrations team builds the core technology that turns advertising from an interruption into a rewarded experience for 770 million users. We own the robust, lightweight,integration layer between our ad engine and the global mobile ecosystem, ensuring our technology operates with minimal overhead while reaching a massive portion of the smartphone market. On the client side,our technology performs smoothly across 20 million daily SDK initializations. We build native Swift and Kotlin SDKs optimized for ms initialization and minimal binary overhead, with Unity, Flutter, and React Native wrappers that provide a unified API across the entire mobile ecosystem. Behind the scenes, a high-throughput Go and DynamoDB architecture handles the real-time state synchronization of millions of concurrent sessions. When your code runs on nearly one out of every seven smartphones on Earth, every millisecond of execution and every byte of memory counts. Your Mission & Who We Are Looking For: - Documentation is your product. You have 2–4+ years in Developer Relations, Solutions Engineering, or Technical Account Management. You own and evolve external developer documentation end-to-end: API references, SDK guides, integration tutorials, and example applications, and treat it with the same rigor as shipping code. You drive documentation standards and consistency across teams. - You build to validate. You create lightweight demos and sample apps in Swift or Kotlin to test and support what you document. You contribute directly to documentation tooling like Docusaurus, including Markdown, frontend components, and styling. You're comfortable with mobile SDKs, APIs, HTML, and JavaScript/TypeScript to identify friction in the developer experience and fix it. - AI-assisted, not AI-dependent. You use code copilots and LLMs to explore unfamiliar codebases, analyze SDKs, and accelerate content creation, but you validate every output for technical accuracy. You're also comfortable building and maintaining AI tools, like publisher-facing integration assistants, to reduce integration friction at scale. - Debugging is part of the job. On the support side, you perform root cause analysis across mobile apps, APIs, and data flows, working with SQL, dashboards, and logs to investigate integration health and performance issues. You collaborate with TAMs and Growth Managers on technical escalations. - Cross-functional and cross-regional by default. You manage multiple documentation and integration projects in parallel, work across Product, Engineering, and Product Marketing to deliver documentation at launch, and optimize resources culturally and linguistically across regions. Strong organizational skills and the ability to bring structure where none exists are a must. AdTech, mobile monetization, or SDK-based product experience is a strong plus. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? 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: Home Based - APAC; Office Based - Beijing, China; Office Based - Taipei, Taiwan Ubuntu is the most widely used Linux distribution in the world, delivering kernels across a vast matrix of versions, architectures, and configurations – with up to 15 years of security and maintenance commitments for Long Term Support (LTS) releases. Ensuring the quality and reliability of these kernels demands a dedicated, systematic approach to testing at scale. The Canonical Kernel Team is looking for a Test Engineer to take ownership of our kernel testing strategy and infrastructure. You will design and maintain test plans covering functional correctness, stability, performance, and security. You will build and evolve automated test frameworks – including stress testing, fuzzing, code coverage analysis, and regression detection – that not only must remain effective across many concurrently supported kernel versions spanning years of maintenance, but must be able to scale with the high demand for Ubuntu kernels (currently more than 160 under active support). The successful candidate will bring strong Python skills, familiarity with Linux kernel internals, and experience building test infrastructure that scales. You will work closely with kernel engineers to catch regressions early, validate fixes, and ensure every kernel we ship meets the highest standards of reliability. Location: This role will be based remotely in the APAC region, except for Taipei, Taiwan, and Beijing, China, which are office-based locations. What your day will look like Design, develop, and maintain comprehensive test plans covering functional correctness, stability, performance, and security for Ubuntu Linux kernels Build and improve automated test infrastructure for continuous kernel quality validation across multiple kernel versions and architectures Maintain long-lived test suites that evolve alongside Ubuntu’s many concurrently supported kernel versions spanning years of maintenance Develop and maintain CI/CD pipelines for continuous kernel quality validation Conduct performance benchmarking and regression detection across kernel releases Measure and improve kernel code coverage, identifying gaps in test coverage and creating tests to address them Execute and analyze stress tests covering CPU scheduling, memory management, I/O subsystems, networking, and filesystem workloads Develop and maintain fuzzing harnesses to discover kernel vulnerabilities and reliability issues using tools such as syzkaller, Trinity, or custom fuzzers Collaborate regularly and proactively with a globally distributed team Contribute to upstream test suites and testing frameworks Document test methodologies, results, and coverage gaps What we are looking for in you Significant programming experience in Python Experience with test frameworks such as LTP, kselftest, xfstests, stress-ng, fio, or similar Experience designing and executing system-level tests: functional, stress, performance, or regression testing Familiarity with CI/CD systems (Jenkins, GitHub CI, or similar) Experience maintaining test suites over long periods, adapting to evolving software across multiple supported versions Familiarity with Linux (Ubuntu or Debian preferred but not required), Linux kernel internals and subsystems Experience with Linux systems administration and automation Solid background with git Well-organized, self-starting and able to deliver to fixed schedules Professional written and spoken English with excellent communication skills Ability to travel twice a year, for company events up to two weeks each Additional skills that you might also bring Familiarity with kernel fuzzing tools and techniques (e.g. syzkaller, Trinity, AFL, or custom harnesses) Experience with code coverage instrumentation (e.g. gcov, kcov, LLVM source-based coverage) Knowledge of kernel tracing and observability tools (e.g. ftrace, perf, bpftrace, eBPF) Familiarity with static analysis tools (e.g. sparse, smatch, Coccinelle) as part of a testing workflow Experience with fault injection frameworks (e.g. failslab, fail_make_request) for reliability testing Prior experience with test infrastructure at scale (provisioning, orchestration, result aggregation) Experience with Ubuntu/Debian packaging or Snap Knowledge of virtualization technologies (KVM, QEMU) and container runtimes Cloud infrastructure experience (AWS, GCP, Azure, or OpenStack) Prior involvement with open source testing communities or projects What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. Fully remote working environment - we’ve been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: MARGARITAVILLE, Worldwide We are hiring for an Shipboard Design Manager position for cruise company Margaritaville at Sea! At Margaritaville at Sea our core purpose is to create and deliver fun and escapism. This drives all we do and is the heart of our decision making. As a valued member of our team, you'll contribute to providing an incredible guest experience every day of each cruise and in every way. You’ll also have opportunities to advance your career as we continue to grow. Your career path with us starts here As a Shipboard Design Manager , you will play a pivotal role in enhancing our guests' onboard experience through effective management and delivery of all print and digital media communications. 🚢 Benefits to work on board Margaritaville at Sea? Cruise Line founded by former crew member Embrace the Margaritaville lifestyle and deliver the FUN Free accommodation, food and Wi-Fi for crew Industry leading Salaries and Benefits + excellent tips Focused on Crew Career Progression Great Crew Recognition Programs and friendly atmosphere Make Memories combining Work and Travel ⚓ RESPONSIBILITIES: Lead the development of shipboard guest-facing communications and revenue touchpoints through printed and digital marketing material, ensuring touchpoints consistently deliver on-brand vision, business goals and creative guidelines. Collaborate with revenue and department leadership to understand communication and marketing needs and coordinate with Shoreside Creative Team on the creative development of new project requests. Cruise News: daily content development, layout and preparation of print files; work with department heads for content requirements. Design eye-catching and effective promotional materials to support guest communication and revenue goals, including flyers, banners, and printed and digital signage. Ensure all designs align with brand guidelines and maintain a consistent visual identity across all platforms and materials. This is a minimal description of duties. Other work requirements may be necessary and assigned as business or maritime law dictates. etc. ⚓ REQUIEREMENTS: Minimum 21 years old Good level of English language High school diploma or equivalent is required. Bachelor’s degree in Marketing, Graphic Design, Communications, or related field. Certification in Digital Marketing or Design Software (Adobe Creative Suite) preferred. Minimum 3–5 years of experience in marketing, graphic design, or content development. Experience creating print and digital marketing materials aligned with brand guidelines. Must possess problem-solving skills, able to identify and resolve issues in a timely manner. Strong understanding of branding principles and visual identity standards. Knowledge of marketing strategies, guest engagement, and revenue optimization. Familiarity with design tools such as Adobe Photoshop, Illustrator, InDesign, and digital signage platforms. Understanding of print production processes and digital content management. Excellent design and layout skills for creating eye-catching promotional materials Join "Margaritaville at Sea" and embark on a career that offers not only the chance to grow professionally but also the opportunity to be part of a fast growing company that offers opportunities for advancement! NOTE: Nationalities that we can process: 🇪🇺 🇷🇺 🇧🇾 🇺🇦 🇲🇩 🇰🇿 🇰🇬 🇺🇿 🇦🇲 🇬🇪 🇦🇿 🇹🇯 🇹🇲 You can submit your Resume here pushing APPLY TO POSITION button above If you are not sure what position to apply for, you may instead submit general application here and we will advise you: https://ismira.breezy.hr/p/c3fb653b09b501-general-application-for-hospitality-positions Last updated:  February 20, 2026

Location: Remote Workplace: Remote HyperHug is an international game development studio specializing in the shooter genre. Our main office is based in Cyprus, but our talented team works remotely from around the world. We’re developing Oxide: Survival Island, an immersive multiplayer survival shooter for mobile platforms, and we’re always looking for motivated individuals who want to grow with us, contribute their creativity, and help shape the future of our games. We are seeking an experienced Senior Unity Developer to join our team and contribute to the development and evolution of our flagship game, Oxide: Survival Island. If you know Unity inside and out, including URP and rendering pipelines, you love digging into performance optimization, enjoy working with Addressables, shaders, and multiplayer systems, and eager to help build something meaningful from the ground up — we want to talk to you. This role stays open on an ongoing basis because we’re always interested in meeting exceptional Unity Developers who can make a real impact on the project. WHAT YOU’LL BE DOING - Design, develop, and maintain core gameplay systems and multiplayer features using Unity and C#. - Work with URP-based rendering, shaders, and visual effects with a strong focus on performance and visual quality on mobile devices. - Integrate Unity Addressables for scalable and dynamic UI content. - Profile and optimize game performance: CPU/GPU usage, memory, loading times, and frame stability. - Support LiveOps and seasonal updates by delivering new features, systems, and technical improvements. - Collaborate closely with game designers, artists, and other engineers to turn game concepts into robust, scalable implementations. WHAT WE EXPECT FROM YOU: - 8+ years of experience in Unity development. - Experience working with synchronous multiplayer systems (within the past 2 years). - Deep understanding of URP and Unity rendering workflows. - Experience designing and implementing game mechanics and UI systems. - Shader experience (Shader Graph or HLSL). - Strong C# skills and experience with performance optimization. - Collaborative mindset and great communication skills. - Passion for games and crafting thoughtful user experiences. - Russian language proficiency at C1 level or higher. WHAT WE OFFER: - Competitive salary. - Remote work option or relocation to Cyprus, with full company support including visa and housing assistance. - The chance to shape and influence an ambitious multiplayer survival shooter for mobile platforms. - A strong, supportive team passionate about creating great games. - A flexible work environment. - Opportunities for professional growth. - A culture that values creativity, initiative, and collaboration.

Location: United States, Remote Are you on a mission to create games that bond players together into deeply invested communities? Would you like to work on something comedic with lighthearted and whimsical characters? And are you excited to help push the visual quality, performance, and expressiveness of a rich, innovative game? As a Senior Game Engineer - Graphics on teamLFG, you will work closely with artists, designers and engineers to build expressive gameplay experiences for a multiplayer game while also driving visual quality, rendering features, workflows, and performance in Unreal Engine 5. Most importantly, you will work with a fun, dedicated, and cross-discipline team devoted to turning a creative dream into a new franchise at PlayStation. We look for candidates who value joining a mission-focused team with a diverse set of backgrounds, experiences, interests, and viewpoints. RESPONSIBILITIES • Build and maintain production-quality gameplay systems, workflows, and tools in C++ on Unreal 5 with minimal oversight • Own and evolve rendering systems in Unreal Engine 5, including lighting, materials, particles, post-processing, shadows, and graphics scalability • Collaborate closely with artists to prototype and implement stylized rendering features, shaders, VFX workflows, post-process effects, camera techniques, and other expressive visual systems • Optimize rendering performance across CPU, GPU, memory, and platform constraints • Investigate and fix graphics, rendering, and visual pipeline issues REQUIRED SKILLS • Strong expertise in real-time rendering techniques and modern graphics pipelines • Excellent C++ programming skills • Experience with Unreal Engine 5 and its rendering framework • Experience building designer- and artist-facing components and tools • Ability to work autonomously and drive technical initiatives from concept to completion • Strong communication and collaboration skills with both engineers and artists Bachelors degree or equivalent NICE-TO-HAVE SKILLS • Experience with development on a variety of platforms (PC, console) • Passion for creating visually expressive and polished player experiences • Experience in Gameplay Networking At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $160,000 — $240,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's inference fleet serves Claude to millions of users across our own products and the world's largest cloud platforms. The stack that makes this possible is deep and tightly coupled: accelerator kernels, model servers, distributed routing, autoscaling, capacity management. Every layer affects the others, often in ways that are hard to see in isolation. The Inference System Dynamics team is responsible for understanding that whole system and holding it to a high bar across four dimensions: throughput, latency, reliability, and correctness . We measure how the fleet performs against its theoretical performance frontier, run cross-layer investigations to explain the gaps, and own the correctness checks that make sure Claude's outputs are right, not just fast, across hardware platforms and serving configurations. We don't own the individual components. We instrument and model them, find the highest-leverage opportunities across them, and partner with the owning teams to land the wins. You'll work across all four areas. One week that might mean tracing a tail-latency regression from request timing down through routing and batching into a kernel overhead; the next it might mean tightening a correctness eval so it catches an output regression introduced by a quantization change. We're looking for performance engineers who treat correctness as part of performance. Key Responsibilities Run cross-layer performance investigations across throughput, latency, and reliability, sizing the gap between actual fleet performance and theoretical rooflines, identifying root causes, and quantifying the value of closing them Own and improve the correctness evaluation pipeline that validates model output quality across hardware platforms, numerics, and serving configurations, and lead the investigation when it catches a regression Build the observability, dashboards, and modeling tools that make throughput, latency, cost, reliability, correctness, and their interactions legible across the stack Partner with kernel, serving, routing, autoscaling, and capacity teams to prioritize and land the highest-impact optimizations your analysis surfaces Ruthlessly stack-rank a large surface area of opportunities by impact and effort, and say no to the ones that don't make the cut Minimum Qualifications Hands-on performance engineering experience: profiling, roofline analysis, latency/throughput optimization, and root-cause investigation in complex production systems Proficiency in Python, with the ability to read, instrument, and contribute to large production codebases you didn’t write Solid data analysis skills (e.g. SQL, pandas, or similar) sufficient to turn raw telemetry into clear findings Ability to communicate quantitative results clearly in writing to influence priorities on teams you don't manage Genuine interest in correctness as an engineering discipline: numerics, evaluation design, regression detection Preferred Qualifications Experience with ML systems, especially training or inference infrastructure or general LLM serving stacks. Direct large-scale inference experience is a strong plus Familiarity with GPU/TPU/accelerator performance concepts (memory bandwidth, kernel overheads, quantization, collective communication). Reasoning about these matters more than having written kernels yourself Experience with reliability engineering for high-throughput services: autoscaling, load balancing, request routing, tail latency Experience with model evaluation or numerical regression-detection pipelines Experience building observability or telemetry for distributed systems Comfortable having impact through influence and evidence rather than direct ownership Representative Projects Trace a 350ms latency gap on a new accelerator platform from end-to-end request timing down to a server scheduling overhead, quantify the win, and land the fix directly or with the owning team Redesign the correctness eval gate: determine which signals reliably catch real model-output regressions versus noise, and make it the trusted release criterion across hardware backends Build a FLOPs funnel that breaks down where compute actually goes across the fleet, exposing the gap between achieved throughput and kernel rooflines Root-cause a numerical divergence between two hardware platforms to a specific kernel change, and define the acceptance threshold going forward Model the latency–cost impact of changing batch-sizing and utilization targets, and turn the result into the signal the autoscaler uses in production Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United Kindom, United Kingdom; Buenos Aires, Argentina; Bogotá, Colombia; Sao Paulo, Brazil; Montevideo, Uruguay; Bangalore, India; Chittagong, Bangladesh; Karachi, Pakistan; Tokyo, Japan; Hanoi, Vietnam; Taipei, Taiwan; Bangkok, Thailand; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Athens, Greece; Tbilisi, Georgia; Budapest, Hungary; Dublin, Ireland; Sliema, Malta; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel; Istambul, Türkiye; Nicosia, Cyprus 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 our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio. We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios. Responsibilities Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint. Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms. Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions. Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems. Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Must have knowledge of Metal Shading Language (MSL). You should be comfortable writing custom compute shaders from scratch. Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms. A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios. Must have strong expertise in writing GPU kernels for mobile devices (i.e., smartphones) as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required. Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency. Distributed Inference Systems: Designing and optimizing high-performance inference engines using techniques like Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism to handle massive models on GPU clusters. Deep understanding of the math and structure behind Diffusion Models and Vision Transformers Understanding of Pruning, Quantization, Flash attention, KV Cache, Speculative Decoding (Eagle) 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.