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О ПРОЕКТЕ — 10ARX 10arx — это AI-нативный терминал для Polymarket, Kalshi и DEX. Мы строим систему on-chain исполнения, которая работает 24/7 с реальным капиталом. Мы на ранней стадии: маленькая команда, бешеный темп и полная свобода в инженерных решениях. Задачи: — Строительство системы on-chain execution (транзакции, wallet management, gas optimization). — Плотная работа с API prediction-платформ и децентрализованных бирж. — Создание пайплайнов для сбора и нормализации рыночных данных в реальном времени. — Реализация торговых алгоритмов и инфраструктуры для их бэктестинга на исторических данных. — Разработка backend на Go и создание интерфейсов управления на React/TypeScript. — Построение системы алертинга для систем, где «молча сломаться» — недопустимо. Требования: — 4+ года коммерческого опыта на Go (основной язык). — Реальный опыт с Solidity, EVM и библиотеками (ethers.js / go-ethereum). — Опыт построения систем, работающих с деньгами, понимание рисков и цены ошибки. — Уверенный React + TypeScript для самостоятельной сборки UI. — Ежедневное использование Cursor / Copilot / Claude для ускорения разработки. — Готовность поднимать сервисы с пустого репозитория без детального ТЗ. Условия: — Полная ответственность за направление Trading Infrastructure. — Прямое взаимодействие с CTO и фаундером, результат за дни, а не недели. — Работа на стыке AI, высоконагруженного Go и блокчейн-инфраструктуры.

Location: Красногорск Ищешь работу с возможностью карьерного развития и роста? Сбер раскроет твой карьерный потенциал! Откликайся! Обязанности * консультировать клиентов по всем продуктам и услугам Сбера, включая ипотеку * продавать банковские продукты и услуги * обучать клиентов пользоваться сервисами и продуктами Сбера * проводить кассовые операции: прием, выдача, обмен денег. Требования * имеешь образование среднее и выше * доброжелателен и готов помогать клиентам * активно используешь гаджеты и программы MS Office * готов использовать искусственный интеллект в ежедневной работе (обучение за счёт компании — есть свои курсы). Условия * ежемесячная, годовая премия и ежегодный пересмотр зарплаты * возможность влиять на свой доход * быстрый старт карьеры для тех, кто без опыта * работа в офисе нового формата рядом с домом или местом учебы * корпоративный планшет для комфортной работы * уникальная система онлайн обучения Сбера для карьерного развития и роста  * расширенный ДМС и льготное страхование для семьи * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ. Будет преимуществом опыт работы в компаниях: Россельхозбанк, Росбанк, Совкомбанк, ГазпромБанк Яндекс, Ozon, Wildberries, Деловые Линии, ВТБ, Альфа-Банк, Тинькофф Банк, МТС, Билайн, Мегафон, Ростелеком. #начало\_карьеры #работа\_без\_опыта #менеджер\_по\_продажам #консультант #менеджер\_по\_обслуживанию #обслуживание\_физических\_лиц #менеджер #специалист\_банка #работа\_для\_начинающих #консультирование #кредитные\_продукты #продажи #страхование #вклады #ипотека #кредиты #касса #работа\_с\_наличными #банковские\_ценности #прием\_платежей

О ПРОЕКТЕ Chrona agency ищет эксперта в инфраструктурную Web3-платформу, обслуживающую десятки тысяч блокчейн-нод в 120+ сетях (Ethereum, Solana, Cosmos и др.). Мы обеспечиваем 99.99% uptime для валидаторов и RPC-узлов, используя non-custodial модель. ОСНОВНЫЕ ЗАДАЧИ — Развертывание и эксплуатация блокчейн-нод различных типов (Validator, Archive, RPC). — Обеспечение отказоустойчивости и минимального latency в геораспределенной инфраструктуре. — Настройка мониторинга, алертинга и систем глубокой аналитики производительности. — Автоматизация процессов обновления сетей и деплоя инфраструктурных компонентов. — Работа с сетевой архитектурой (L2/L3) и оптимизация ресурсов кластеров. — Применение SRE-практик для контроля SLA/SLO и планирования мощностей. ТРЕБОВАНИЯ К КАНДИДАТУ — Глубокий коммерческий опыт эксплуатации блокчейн-инфраструктуры. — Экспертные знания Kubernetes в production-средах. — Опыт работы с Terraform, Ansible и инструментами CI/CD (GitLab / GitHub). — Уверенное владение стеком мониторинга: Prometheus, Grafana, Alertmanager. — Глубокое знание Linux (Debian / Ubuntu) на системном уровне. БУДЕТ ПРЕИМУЩЕСТВОМ — Опыт работы с высоконагруженными RPC-сервисами. — Понимание архитектур Proof-of-Stake (PoS) и механизмов консенсуса. — Навыки построения отказоустойчивых кластеров в распределенной среде. УСЛОВИЯ РАБОТЫ — Полностью удаленный формат и отсутствие бюрократии. — Выплаты в USDT согласно рыночной вилке. — Возможность прямого влияния на архитектуру и масштабирование платформы. — Работа в сильной инженерной команде с фокусом на результат.

Location: Singapore About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers We are looking for a Senior Software Engineer (Golang) to join our Platform team . Our platform is a large-scale system combining a Ruby on Rails monolith with a growing ecosystem of Go microservices. In this role, you will build and maintain business logic and enterprise-grade features for the Workato platform, including on-premise features, authentication, caching, work queuing, and APIs. You will also be expected to: • Design, build, and maintain Go microservices with a focus on correctness and reliability. • Implement business logic and enterprise-quality standards across the platform. • Collaborate with Infra and SRE teams to ensure high availability and scalability requirements are met. • Contribute across all phases of the development lifecycle. • Write well-designed, testable, and efficient code. • Evaluate and propose improvements to existing systems. Product & Technology Context: Strong web development background, with experience building user-facing products — including UI, business logic, and integrations with external APIs. Product-minded engineering experience: you understand how technology ties back to user and business needs, not just infrastructure. Track record of shipping user-facing business features across product platforms, developer experience platforms, or other customer-facing surfaces. Solid production experience — typically 7+ years — with the depth and maturity to build and support systems in production. Clear understanding of how web applications work end-to-end, and how the different pieces fit together to deliver a product or business outcome. Depth and consistency in technical background — we value engineers who've built real expertise over time, rather than hopping across many different stacks. Our core platform is a Ruby on Rails monolith, with some Go services handling more focused functions alongside the Ruby/monolith team. Experience with these is a plus, but we care most about strong engineering fundamentals and product experience. This role isn't primarily ML/LLM-focused, so candidates whose recent experience has been mostly in ML/LLM work may not be the strongest fit here. Required • 7+ years of industry experience in software engineering. • Solid experience with Go on the backend (2+ years). • Good debugging, analytical, and problem-solving skills. • Understanding of core building blocks of web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.. • Experience working with distributed systems. • Familiarity with version control (Git) and CI/CD practices. Nice to Have • Experience with Ruby on Rails. • Experience building B2B systems. • Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc.). • Experience with third-party REST APIs at scale (request throttling, batch processing, etc.). • Contributions to open-source projects. Soft Skills / Personal Characteristics • Readiness to work with teams distributed across multiple timezones. • Strong spoken and written English. • Curiosity and openness toward new technologies; willingness to experiment. • Ownership mindset — comfortable taking features from design through to production and maintenance. REQ ID: 2423

Location: Riyadh, Saudi Arabia Muller's Solutions is seeking an experienced SAP FI/FM Consultant with strong expertise in SAP Financial Accounting (FI) and Funds Management (FM) to support implementation, day-to-day operations, and system optimization. The role requires solid hands-on experience in SAP FI processes including General Ledger (G/L), Accounts Payable (AP), Accounts Receivable (AR), asset accounting, and financial closing activities, along with strong Funds Management knowledge. The candidate will ensure accurate financial postings, budget control, and Availability Control (AVC), while maintaining seamless integration across SAP FI, FM, MM, PS, and CO modules. The role also involves troubleshooting complex FI posting issues, ensuring financial data integrity, and supporting business users in end-to-end financial and budgetary processes. Key Responsibilities: Provide L2 support for SAP FI/FM issues and incidents Handle end-to-end FI support activities including general ledger (G/L) postings, Accounts Receivable management and Accounts Payable Management, document processing, and financial closing support Monitor and resolve issues related to budget control (BCS) and availability control (AVC) Support and maintain derivation rules and FM master data (Fund, Fund Center, Commitment Item) Analyze and fix posting errors related to FI/FM integration with CO and MM modules Investigate and resolve FI issues such as document posting errors, tax/GL determination, and account assignments Support reconciliation between FI and FM/CO postings to ensure data consistency Work with business users to resolve tickets and provide functional guidance on FI and FM processes Ensure correct configuration and support of FI postings impacting Funds Management Requirements Requirements: 5–8 years of SAP FI/FM experience Hands-on configuration experience in SAP FI and FM with at least two end-to-end (E2E) implementations Strong knowledge of FI (GL, AP, AR, Asset Accounting) and Funds Management (BCS, AVC, derivation rules) Experience in support projects (ticket handling, issue resolution) Good understanding of integration with FI/CO, MM, and PS modules Strong troubleshooting skills in FI document postings and FM budget consumption Ability to analyze financial posting issues across FI and FM layers Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

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 Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Developer Experience: You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent. Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way. Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come: Life Sciences — an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast. Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are: Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams. Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker. Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need". Public Sector: Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them. Enterprise Foundations: You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork. Growth: Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. You might be a good fit if you: Have a minimum of 6 years of practical full-stack engineering experience Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack Are technically proficient in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript) Take a product-focused approach to building solutions that are robust, scalable, and easy to use Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 Have successfully driven cross-team alignment to get impactful work shipped, and work with influence over authority Have experience establishing engineering standards, component architectures, and development best practices Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of teams. 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: $320,000 — $320,000 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: Singapore DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW is looking for an outstanding Software Engineer with an expertise in C++ to work in our Singapore office. In this role, you will be a part of our Core Infrastructure team which is responsible for designing, developing and maintaining DRW's low latency trading platform which is deployed global.  You will be tasked with working on various areas of the technical stack including order routing, market data, and risk systems. To qualify for this role, you: Minimum of 5 years of experience working developing high-availability systems in C++ with very tight resource/latency constraints Have a background in multi-threaded programming and a strong understanding of hardware/software interaction Are comfortable working “under the hood” and you are quite skilled in performance tuning (applications, Linux, socket I/O, etc.) and troubleshooting Have experience working with C++ libraries like STL and Boost Are up to date on the C++23 standards and have opinions about them Have worked on challenging projects that involved things like building a custom compiler, writing a matching engine, or working with large amounts of data in real time Have strong English verbal and written communication skills Bonus points if you have: Experience working in the trading industry or another ultra-low latency sensitive business that involves solving remarkably complex problems Experience working with Research teams and Quants Experience working within gaming or streaming For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-PR1

Location: Espoo Workplace: Hybrid - Title: Senior RF Engineer, Radar Payload Team - Location: Espoo, Finland - Department: Spacecraft Hardware - Reports to: Radar Payload Team Lead - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS: As a Senior RF Engineer, you’ll own end-to-end RF hardware development for ICEYE’s radar payloads, enabling high-performance SAR capabilities that deliver actionable intelligence from space in near real time. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Own RF subsystems across the radar chain, including Tx/Rx, front-end, frequency conversion, LO and filtering stages, and interfaces to digital - Translate mission needs into RF requirements, architecture trades, and implementable hardware designs - Design, simulate, and validate RF circuits for X-band and above, ensuring performance aligns with system targets - Execute hands-on lab work, including bring-up, debugging, root-cause analysis, and RF performance tuning - Run EM and circuit simulations and correlate results with measurements to de-risk designs - Create and review schematics and PCB layouts with RF-critical considerations such as impedance control, grounding, and isolation - Define and execute verification strategies, including test plans, validation, and acceptance criteria - Drive technical decisions, mentor engineers, and collaborate cross-functionally to deliver flight-ready hardware WHAT WE’RE LOOKING FOR MUST HAVES: - 10+ years of experience delivering RF hardware products end-to-end, including shipped or qualified systems - Strong hands-on RF lab expertise with measurement, debugging, and correlation using standard RF test equipment - Proven experience with RF simulation tools such as ADS and 3D EM tools such as HFSS or CST - Solid PCB design experience with RF layout best practices, using tools such as Altium - Deep understanding of RF fundamentals including linearity, noise figure, phase noise, spurs, filtering, and stability - Experience owning RF subsystems across the full lifecycle from requirements through production support - Ability to lead technically, make trade-offs, and communicate clearly across disciplines - Working knowledge of Python for analysis, automation, or tooling NICE TO HAVES: - Experience with radar payloads, spaceborne RF systems, or aerospace or defense hardware - Familiarity with ECSS, MIL-STD, or similar qualification and environmental testing standards - Experience with antenna systems, RF packaging, or high-power and low-noise RF design APPLICATION PROCESS - Recruiter screening - Hiring manager interview - Technical task - Technical panel interview - Final interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Tbilisi, Georgia Workplace: remote NovaKid is a global leader in online English education for children aged 4–12, serving 100000+ students across 50+ countries. As the Product Manager for Engagement & AI Game-Based Learning, you will own the "non-live" student experience. Your goal is to transform the Novakid Kid’s Area from a supplementary area into a significant driver of engagement for young kids. You will lead the development of self-guided English learning games and integrate cutting-edge AI-based self-practice tools that encourage children to speak more, practice safely, and stay motivated between their 1:1 teacher sessions. Focus: Kid’s Area, Self-Learning Games, AI Features, Learning Engine What you’ll do Lead a small team of designers and developers (with access to analytical and research resources). Design and scale features like Pandy AI Tutor to provide 24/7, judgment-free speaking practice for students across various proficiencies. Own the roadmap for current and future gamified worlds, focusing on LLM based learning mini-games that reinforce curriculum-aligned vocabulary and grammar. Use AI to create adaptive learning paths that adjust game difficulty and content in real-time based on a child’s performance in both live classes and self-study (Learning Engine). Work with engineering to refine Speech-to-Text and AI prompting logic to maximize student speaking time—aiming for the high-engagement levels seen in AI-only learning models. Design and manage the "Economy of Fun," including avatars, star rewards, and other gamification features that compete for a child's attention against mainstream apps. Work closely with designers, engineers, curriculum developers, and teacher operations to turn user insights into high-quality educational content and engaging UX. What you’ll have 4+ years’ experience in a PM role. Hands-on experience in AI-powered features (prompt engineering, conversational AI, or adaptive algorithms). Strong background in mobile gaming or highly gamified EdTech, with a deep understanding of reward systems, level progression, and retention hooks for kids. Proven ability to build interfaces for 4–12-year-olds that are intuitive, safe, and require zero parental intervention. Proficiency in analytical tools to analyze engagement metrics and game-completion rates. Manage the Agile process with our engineering team, ensuring that prototypes are delivered and scaled with technical excellence. You thrive in a 100% remote, distributed team environment and are a master of tools like JIRA and Slack. Excellent spoken and written English. What we offer Fully remote work A chance to shape the future of AI-driven education A fun, dynamic team that loves building innovative products Unlimited holidays, because we trust you to deliver

Location: Бийск Ищешь работу с возможностью карьерного развития и роста? Сбер раскроет твой карьерный потенциал! Откликайся! Обязанности * консультировать клиентов по всем продуктам и услугам Сбера, включая ипотеку * продавать банковские продукты и услуги * обучать клиентов пользоваться сервисами и продуктами Сбера * проводить кассовые операции: прием, выдача, обмен денег Требования * имеешь образование среднее и выше * доброжелателен и готов помогать клиентам * активно используешь гаджеты и программы MS Office * готов использовать искусственный интеллект в ежедневной работе (обучение за счёт компании — есть свои курсы). Условия * ежемесячная, годовая премия и ежегодный пересмотр зарплаты * возможность влиять на свой доход * быстрый старт карьеры для тех, кто без опыта * работа в офисе нового формата рядом с домом или местом учебы * корпоративный планшет для комфортной работы * уникальная система онлайн обучения Сбера для карьерного развития и роста  * расширенный ДМС и льготное страхование для семьи * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ. #начало\_карьеры #работа\_без\_опыта #менеджер\_по\_продажам #консультант #менеджер\_по\_обслуживанию #обслуживание\_физических\_лиц #менеджер #специалист\_банка #работа\_для\_начинающих #консультирование #кредитные\_продукты #продажи #страхование #вклады #ипотека #кредиты #касса #работа\_с\_наличными #банковские\_ценности #прием\_платежей

Location: South Africa; Colombia; Mexico; Pakistan; Philippines; Egypt About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include high-growth startups, digital agencies, and innovative tech companies across SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing models, you are placed directly with a client as an in-house team member—giving you long-term career growth, stability, and impact. Job Summary We are hiring a Senior Sales Development Representative (SDR) to take ownership of outbound pipeline generation and play a strategic role in revenue growth. This is not a junior prospecting role—you will be expected to operate as a top-performing individual contributor, consistently delivering high-quality opportunities and influencing outbound strategy. You will work closely with Account Executives, Sales Leadership, and Marketing to refine targeting, messaging, and outreach while engaging senior decision-makers across mid-market and enterprise accounts. Key Responsibilities Own and execute multi-channel outbound strategies targeting mid-market and enterprise SaaS buyers. Generate high-value pipeline through advanced prospecting techniques (cold calling, email sequencing, LinkedIn, intent data). Engage and qualify senior stakeholders (C-level, VP, Directors) through consultative conversations. Book and influence high-quality discovery calls and product demos with strong conversion potential. Continuously refine ICP targeting, messaging, and outreach strategies based on performance data. Maintain rigorous CRM hygiene and pipeline reporting (HubSpot, Salesforce). Mentor junior SDRs and contribute to improving team performance and best practices. Collaborate cross-functionally with marketing and AEs to align on campaigns, feedback, and revenue goals. Consistently exceed aggressive KPIs tied to pipeline generation and revenue contribution. Requirements 4–6+ years of experience in SaaS SDR, BDR, or outbound sales roles . Proven track record of consistently exceeding pipeline and revenue targets. Strong experience in mid-market and enterprise SaaS sales environments . Deep understanding of SaaS metrics and sales processes (ARR, MRR, CAC, LTV, sales cycles). Advanced prospecting skills with tools such as Sales Navigator, Apollo, Outreach, or ZoomInfo. Ability to run consultative, value-driven conversations with senior decision-makers. Demonstrated ability to mentor or support junior team members. Highly analytical and data-driven approach to outbound sales. Excellent communication, objection handling, and storytelling skills. Self-motivated, disciplined, and comfortable in a high-performance remote environment. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Graphics Programmer, Mobile (iOS/Android) PlayStation Studios / San Diego Studio Why PlayStation? Why San Diego Studio? Come join San Diego Studio in bringing MLB The Show to mobile platforms. Our focus is on delivering innovative, high-quality gaming experiences, and we are seeking a Senior Mobile Graphics Programmer to help advance the visual and technical quality of our mobile title on iOS and Android. In this role, you will be responsible for developing and optimizing real-time graphics systems specifically for mobile devices, ensuring strong performance, scalability, and visual fidelity across a wide range of hardware configurations and device capabilities. You will focus on writing and optimizing our mobile rendering engine, debugging graphics and performance issues, implementing new visual features, and ensuring the game takes full advantage of platform-specific capabilities across Apple and Android ecosystems. The ideal candidate possesses strong problem-solving abilities, sharp attention to detail, and thrives both independently and in collaborative, cross-functional teams. They are passionate about GPU architecture and real-time rendering innovation, skilled in profiling and optimizing complex graphics systems, and experienced in shipping high-quality graphics features on constrained mobile hardware. Responsibilities: Develop, optimize, and maintain real-time rendering systems and graphics features specifically for mobile platforms (iOS and Android) Identify and resolve performance bottlenecks related to rendering, memory usage, thermal constraints, battery usage, and device-specific hardware limitations Ensure compatibility, stability, and performance across a broad range of mobile devices, from high-end flagship phones/tablets to lower-spec hardware Implement scalable graphics systems that support varying performance tiers, screen resolutions, refresh rates, and GPU capabilities Work with platform-specific graphics APIs and technologies such as Metal and Vulkan Optimize shaders, rendering pipelines, texture usage, and asset memory footprint for mobile GPU architectures Implement requested graphics features and enhancements in collaboration with the broader engineering, art, and rendering teams Debug graphics issues across different chipsets and vendors Stay current with emerging rendering techniques, mobile GPU technologies, and platform advancements to drive visual improvements and technical innovation Required Qualifications: Bachelor's degree in Computer Science, Mathematics, or a related technical field 5+ years of experience programming in C++ with a focus on performance-critical applications Strong experience with graphics programming on mobile platforms, including low-level graphics APIs such as Metal or Vulkan Proficiency in GPU shader programming and optimization for mobile platforms Strong foundational math skills, especially linear algebra, geometry, and trigonometry Hands-on experience with graphics profiling and debugging tools for mobile development Proven ability to debug and optimize rendering performance across a wide range of mobile hardware and operating system versions Strong understanding of the constraints and tradeoffs involved in mobile rendering, including memory bandwidth, battery usage, thermal throttling, frame pacing, and device fragmentation Preferred Qualifications: Experience shipping one or more mobile games or interactive applications on iOS and/or Android Familiarity with platform-specific development environments and tools such as Xcode, Microsoft Visual Studio, GPU frame debuggers, and mobile performance analyzers Experience optimizing rendering systems for a variety of mobile GPU architectures Understanding of scalable rendering techniques for mobile, including dynamic resolution, LOD systems, texture streaming, and efficient post-processing Familiarity with scripting languages such as Python is a plus Experience working on cross-platform rendering systems is highly desirable Passion for sports games and delivering visually compelling real-time experiences on mobile devices . 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. $172,000 — $258,100 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 (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Switzerland Workplace: Remote About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. - Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams. Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem. - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. Location & Employment - Location: remote within Switzerland - Employment type: Full-time, permanent employment - Hiring model: Employment via Employer of Record (EOR) Candidates must already have the legal right to work in Switzerland, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: UK Workplace: Remote About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem. - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Serbia Workplace: Remote About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. - Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams. Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem. - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Germany Workplace: Remote About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. - Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams. Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem. - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Remote in the United States or Canada Workplace: Remote At Sanity.io http://Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew are using Sanity to power and automate their content operations. Your team ensures that enterprise customers are successful and happy using Sanity. This means working closely with technical leaders at our customers to align their strategic goals with implementation details; facilitating brainstorming sessions between editors, designers, and developers; and helping developers make decisions for their unique business needs.  In this role you will take ownership of your customer relationships and drive both internal and external conversations.  You'll also have the opportunity to learn more and develop expertise on the people side of technology. WHAT YOU WOULD DO: - Lead onboarding workshops that are customized to each customer’s needs and background. - Proactively develop relationships with technical and product stakeholders at our customers. - Meet regularly with technical customers to demonstrate how new features work for the customer’s specific needs, answer their questions, and help them plan their Sanity implementation. - Work with account managers to develop expansion opportunities at existing customers - Support the new account sales cycle through technical workshops and proof of concept development - Create and share examples to help customers understand concepts and implement more quickly - Develop and maintain guides and learning modules to address common topics - Develop and maintain plugins for common integrations and implementation patterns - Represent clients’ requests and requirements to the internal product team - Work with Support Engineering to work through customer challenges and unblock specific scenarios - Support marketing and product research teams to connect  with relevant customers and planning events and webinars ABOUT YOU: - Based in: Remote in the United States or Canada - 3-5 years of experience in a software development role - Advanced experience with at least one of the following frameworks: React, Vue, Angular, Astro - Familiar with backend architecture and SaaS platform integrations - Experience with one of the following: - Implementing headless CMS - Implementing headless ecommerce - As a Solution Engineer or Solution Architect at a developer-focused SaaS - Outstanding communication skills, both verbally and in writing - Proven experience developing solutions with customers - Problem solving skills with a result oriented mindset - Exceptional organizational and time management skills - Structured with a strong attention to details - Bonus: experience in a B2B customer-facing role, such as consulting or account management - Bonus: you have used Sanity in production WHAT WE CAN OFFER: - A highly-skilled, inspiring, and supportive team - Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth - A global, multi-culturally diverse group of colleagues and customers - Comprehensive health plans and perks - A healthy work-life balance that accommodates individual and family needs - Competitive salary and stock options program WHO WE ARE: Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business. Sanity recently raised an $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values Sanity.io http://Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

Location: Mountain View, California, USA Workplace: Hybrid About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem. - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. We believe in the power of in-person collaboration to solve the hardest problems and foster a strong team culture. We offer relocation assistance and look forward to you joining us in our Mountain View office. The base salary range for this full-time position is $270,000 - $430,000+ bonus + equity + benefits. Inworld Jobs Privacy https://inworld.ai/jobs-privacy