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Location: Cyprus Workplace: fully About the Client Our client is an international payment service provider focused on optimizing and scaling payment flows for online businesses. They collaborate with payment service providers globally, providing solutions to enhance acceptance rates and ensure secure transactions. Their clientele includes mid-market and enterprise companies, some of which operate in high-risk sectors. Role Overview Join as a Senior Account Manager and shape the future of PSP partnerships. You'll have the opportunity to build strong, long-term relationships with key partners, driving revenue and improving account performance. Engage in commercial negotiations, develop referral opportunities, and collaborate closely with internal teams to ensure the success of partner-related initiatives. Key Responsibilities Build and maintain strong, long-term relationships with key PSP partners, acting as their primary point of contact. Analyse existing partnerships and identify opportunities to increase revenue and margins. Negotiate commercial conditions with PSPs, including discounts and referral terms. Develop referral opportunities with existing PSP partners and facilitate introductions of new clients. Create and execute joint development plans with key PSPs. Track the progress of partnership initiatives and proactively identify areas for improvement. Work closely with internal teams to ensure smooth execution of partner-related initiatives. Requirements 2+ years of experience in Key Account Management, Partnerships, Account Management, or a similar client-facing role. Previous experience within the FinTech, Payments, or PSP industry. Practical experience working directly with Payment Service Providers (PSPs). Strong ability to build and maintain long-term relationships with strategic clients and partners. Excellent communication and negotiation skills. Strong analytical mindset and ability to identify opportunities for account growth. Languages: English B2, Russian C1. Experience in fintech. Key Soft Skills Strong leadership mindset with a focus on team growth and development. High level of ownership, accountability, and reliability. Excellent communication and stakeholder management skills. Ability to work collaboratively in a team environment. Proactive approach to problem-solving and decision-making. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.

Location: Lithuania Workplace: fully About the Client Our client is an international payment service provider focused on optimizing and scaling payment flows for online businesses. They collaborate with payment service providers globally, providing solutions to enhance acceptance rates and ensure secure transactions. Their clientele includes mid-market and enterprise companies, some of which operate in high-risk sectors. Role Overview Join as a Senior Account Manager and shape the future of PSP partnerships. You'll have the opportunity to build strong, long-term relationships with key partners, driving revenue and improving account performance. Engage in commercial negotiations, develop referral opportunities, and collaborate closely with internal teams to ensure the success of partner-related initiatives. Key Responsibilities Build and maintain strong, long-term relationships with key PSP partners, acting as their primary point of contact. Analyse existing partnerships and identify opportunities to increase revenue and margins. Negotiate commercial conditions with PSPs, including discounts and referral terms. Develop referral opportunities with existing PSP partners and facilitate introductions of new clients. Create and execute joint development plans with key PSPs. Track the progress of partnership initiatives and proactively identify areas for improvement. Work closely with internal teams to ensure smooth execution of partner-related initiatives. Requirements 2+ years of experience in Key Account Management, Partnerships, Account Management, or a similar client-facing role. Previous experience within the FinTech, Payments, or PSP industry. Practical experience working directly with Payment Service Providers (PSPs). Strong ability to build and maintain long-term relationships with strategic clients and partners. Excellent communication and negotiation skills. Strong analytical mindset and ability to identify opportunities for account growth. Languages: English B2, Russian C1. Experience in fintech. Key Soft Skills Strong leadership mindset with a focus on team growth and development. High level of ownership, accountability, and reliability. Excellent communication and stakeholder management skills. Ability to work collaboratively in a team environment. Proactive approach to problem-solving and decision-making. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.

Location: Spain Workplace: fully About the Client Our client is an international payment service provider focused on optimizing and scaling payment flows for online businesses. They collaborate with payment service providers globally, providing solutions to enhance acceptance rates and ensure secure transactions. Their clientele includes mid-market and enterprise companies, some of which operate in high-risk sectors. Role Overview Join as a Senior Account Manager and shape the future of PSP partnerships. You'll have the opportunity to build strong, long-term relationships with key partners, driving revenue and improving account performance. Engage in commercial negotiations, develop referral opportunities, and collaborate closely with internal teams to ensure the success of partner-related initiatives. Key Responsibilities Build and maintain strong, long-term relationships with key PSP partners, acting as their primary point of contact. Analyse existing partnerships and identify opportunities to increase revenue and margins. Negotiate commercial conditions with PSPs, including discounts and referral terms. Develop referral opportunities with existing PSP partners and facilitate introductions of new clients. Create and execute joint development plans with key PSPs. Track the progress of partnership initiatives and proactively identify areas for improvement. Work closely with internal teams to ensure smooth execution of partner-related initiatives. Requirements 2+ years of experience in Key Account Management, Partnerships, Account Management, or a similar client-facing role. Previous experience within the FinTech, Payments, or PSP industry. Practical experience working directly with Payment Service Providers (PSPs). Strong ability to build and maintain long-term relationships with strategic clients and partners. Excellent communication and negotiation skills. Strong analytical mindset and ability to identify opportunities for account growth. Languages: English B2, Russian C1. Experience in fintech. Key Soft Skills Strong leadership mindset with a focus on team growth and development. High level of ownership, accountability, and reliability. Excellent communication and stakeholder management skills. Ability to work collaboratively in a team environment. Proactive approach to problem-solving and decision-making. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.

Location: Remote Poland, Poland Workplace: remote About the Role At OLX, Design is more than aesthetics, it's how millions of people build trust, discover opportunities, and connect with their communities. As Principal Brand Designer, you'll shape how OLX and its portfolio of brands are experienced across every customer touchpoint. Reporting to the Director of Product Design, you'll define the visual principles, creative systems, and brand standards that unite a diverse portfolio while allowing each brand to express its unique identity. This is a highly strategic, hands-on individual contributor role for someone who combines exceptional craft with systems thinking, influences through expertise, and embraces AI as a catalyst for creativity, consistency, and scale. Working in close partnership with Marketing, Brand Strategy, Product Design, Communications, Employer Brand and regional teams, you'll translate business strategy, customer insights and brand positioning into cohesive creative systems that strengthen brand equity, build customer trust and accelerate high-quality execution across the organisation. You'll establish the creative vision and quality bar for brand design, while building the frameworks, governance and tools that enable teams worldwide to create distinctive, consistent and impactful brand experiences. What you'll own Define the future of OLX’s  Group's brand ecosystem Partnering with the Director of Product Design, Marketing and Brand Strategy, you'll evolve the visual identity and creative direction across OLX Group and its portfolio of brands. You'll ensure our brands feel connected where they should, distinctive where they need to be, and consistently recognisable across every customer touchpoint. Group-wide brand identity systems and visual standards Brand visual identity governance, quality assurance and design principles Multi-brand design systems and asset libraries Creative direction across digital, physical and experiential touchpoints related to brand design (excludes advertising) Long-term evolution of OLX Group's visual identity and assets. Build scalable creative systems powered by AI You'll help define how AI enhances brand design across OLX Group by developing AI-ready design systems, prompt libraries, reusable templates, automation workflows and governance that empower teams to produce high-quality work consistently and efficiently. Rather than replacing creativity, you'll ensure AI amplifies craftsmanship, accelerates production and strengthens consistency while maintaining the integrity of every brand. You'll also stay ahead of emerging technologies, identifying opportunities where AI can improve creative workflows, collaboration and design quality across the organisation. Raise the creative standard across OLX Group As the most senior brand design practitioner, you'll establish the benchmark for the application of brand design across  product launches, executive communications, presentations, employer branding, events, web experiences and marketing initiatives. You'll provide creative direction, thoughtful critique and hands-on design leadership, ensuring every expression of the brand reflects exceptional craft, clarity and purpose. Translate strategy into brand experiences You'll partner closely with Marketing and Brand Strategy from the earliest stages of initiatives, transforming customer insights, research and business priorities into compelling visual systems and brand experiences. You'll contribute strategic thinking—not simply execute briefs, helping teams solve complex business challenges through design that strengthens trust, recognition and long-term brand value. Drive adoption and influence across the organisation Creating great systems is only part of the role, you'll ensure they're embraced. You'll build documentation, enablement programmes, design resources and governance models that help global and regional teams confidently apply OLX Group's brand standards. You'll influence senior stakeholders across Product, Marketing and Executive Leadership, aligning teams around a shared creative vision and ensuring design has a meaningful voice in strategic decision-making. Mentor and elevate the craft As a Principal Designer, your influence extends well beyond your own work. You'll coach designers through critique, mentoring and collaboration, fostering a culture of craftsmanship, systems thinking and continuous improvement. While this isn't a people management role, you'll be recognised as a trusted design leader whose expertise elevates the entire organisation. What we're looking for We're looking for a strategic design leader with exceptional craft, systems thinking and a passion for building brands that scale globally. You create brands that people trust Your portfolio demonstrates outstanding work across visual identity, typography, layout, storytelling, motion and digital experiences. You understand how to create memorable brands—and how to evolve and steward them over time. You think in systems You build frameworks, governance models, templates and design systems that enable organisations to produce consistently exceptional work. You know that the best design creates lasting capability, not just individual deliverables. You bring strategy to life through Design You're comfortable partnering with Marketing, Brand Strategy and executive stakeholders, translating positioning, customer insights and business objectives into creative systems that deliver measurable business impact. You're fluent in AI-enabled Design You already incorporate AI into your creative practice and understand where emerging technologies create value, and where human judgement remains essential. You can translate those insights into scalable workflows that improve quality, speed, experimentation and consistency across teams. You influence without authority You communicate with clarity, build trusted relationships and bring people together around a shared creative vision. You're equally comfortable presenting to executives, collaborating with marketers or mentoring fellow designers. You bring depth of experience You'll likely have: 10+ years of experience in brand design, or visual design Experience building or evolving brands at scale across multiple products or markets Expertise in Figma and/or Adobe Creative Suite Experience with motion design, storytelling, and digital brand experiences Experience building or contributing to enterprise design systems Deep familiarity with AI-powered creative tools and workflows Outstanding communication, presentation, and stakeholder management skills Why join OLX OLX operates some of the world's most recognized online marketplaces, connecting millions of people every day to buy, sell, find jobs, discover homes, and build businesses. As our Principal Brand Designer, you'll have a unique opportunity to shape the future of multiple global brands while defining how AI and design systems work together to create consistent, high-quality brand experiences at scale. This role offers the chance to influence design beyond individual projects to build the frameworks, standards, and creative vision that will guide OLX's brands for years to come. If you're excited by solving complex brand challenges, setting the highest creative standards, and pioneering the future of AI-enabled design, we'd love to hear from you. Hiring Process We believe in a transparent and collaborative hiring process that reflects how we work as a team. Here’s what you can expect: First Stage Portfolio & Design Leadership This is a 90-minute session with the Hiring Manager. We’ll dive deep into your portfolio to assess your design craft, strategic thinking, systems mindset, and collaboration skills. This is also an opportunity to showcase your leadership in design and discuss how you approach complex challenges. Second Stage Multi-Brand Systems & Creative Leadership In this 60-minute session, you’ll meet with a senior leader from the Creative team. We’ll explore your ability to build, evolve, and govern brand systems across a complex multi-brand organization. This stage focuses on your creative leadership and how you ensure consistency and innovation across diverse brands. Third Stage Executive Partnership & Business Impact This 45-minute session is with a senior leader from the Marketing team. We’ll assess your leadership presence, ability to form strategic partnerships with Marketing, and your commercial thinking. This is also a chance to discuss how you drive organizational influence and deliver business impact through brand design. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   Data Process Policy   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

На проект ведущего банка России требуется QA инженер тестировщик с опытом тестирования бэкенда в IT-проектах. Задачи: — Тестирование бэкенд-сервисов, обеспечение качества и стабильности решений. — Закрытие уязвимостей, расширение функционала до уровня Enterprise, сопровождение продуктов. Требования: — Глубокое знание REST API: проектирование и декомпозиция тестовых сценариев на основе OpenAPI / Swagger, проверка status code, структуры ответов, заголовков, rate-limiting. — Владение SQL (PostgreSQL): написание сложных запросов с JOIN. — Опыт работы с брокером сообщений Kafka: проверка событийной модели (producer/consumer). — Понимание микросервисной архитектуры: тестирование согласованности данных между сервисами. — Опыт работы с контейнеризацией и окружениями: Docker, Kubernetes (понимание подов, сервисов). — Навыки работы с логированием и трейсингом: Kibana / ELK, OpenTelemetry / Jaeger — умение найти «упавшую» транзакцию по trace-id. — Опыт с BPM-оркестраторами (Camunda) — проверка workflow длительно выполняющихся процессов. Условия: — Формат работы: удаленка. — Занятость: полная. — Трудоустройство: ИП.

Location: Office, EU We are the creators of a new fintech era! Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future. We are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies. Our official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA. Join us as a Head of Data Platform. Requirements Education & Experience: — MSc in computer science, mathematics, statistics, physics or another quantitative field; PhD is a plus, not a requirement — research-grade methodology sits with the Quantitative Researcher — 5+ years in data engineering / analytics, incl. lead / management experience; built a trading / financial data platform from zero at a crypto exchange, HFT / electronic-trading firm, market maker, or trading fintech. Bank / enterprise-DWH background alone does not qualify — Personally carried production ownership of money data — trades, balances, positions, P&L — where a data error is a financial error Core Technical Skills — data platform: — Hands-on today: designs and ships pipelines personally — advanced SQL and Python; ClickHouse (or kdb+ / comparable columnar OLAP) in production — Streaming and batch in one architecture: Kafka or equivalent, event feeds with second-grade freshness alongside hourly aggregates; trading-day logic — metrics counted within a trading day that starts and ends at a fixed morning hour, with an automatic daily reset — Optimizes data footprint and computational overhead across every stage: selects the tech stack, partitioning logic, and execution flow based on cost-to-performance impact — Data-correctness engineering: reconciliation, idempotent backfills, late / duplicate event handling, data-quality monitoring and lag alerting — Vendor and API integration: institutional market-data providers (Kaiko / Amberdata class), exchange APIs, FX feeds; schema design and documentation others can build on Core Technical Skills — analytics & applied math: — Applied statistics at a working level: distributions, hypothesis tests and confidence intervals, correlation vs causation, time-series and aggregation pitfalls (session boundaries, survivorship, outliers) — enough to catch a methodological error in an analyst's query or notebook, and to have designed or reviewed metric / experiment methodology in past roles — Metric and semantic design: one written definition per metric (P&L, uptime, spread, fill rate) enforced across every report; analytical data models (marts / star schemas) that make those definitions computable and cheap to query — BI stack governance: Tableau / Grafana — performance, access control, versioned metric definitions; reviews dashboards for correctness rather than building them all himself — ML literacy: understands when a model is — and is not — needed and can supervise applied work; research-grade modeling remains the Quantitative Researcher's mandate Market & Domain Knowledge: — Trading data from practice, not textbooks: maker/taker, fees and rebates, perpetual funding, realized / unrealized P&L, inventory and exposure, order-book depth and spread, slippage, quoting uptime — Understands the consumers: how analysts, quants and desk heads use the data, and how market-quality / compliance metrics feed liquidity-provider terms — Has built and run a mixed organisation of data engineers and analysts: separate hiring bars and growth tracks, peer review of queries and dashboards as a standard, methodology documented before a number ships — Partners with quantitative research: turns the Researcher's methodology into production metrics and dashboards without distorting it; runs the sign-off process with quant and desk stakeholders — Treats balances and client data as confidential by default: access control, least privilege, audit trail, no raw-data leaks — Never ships silently wrong numbers: escalates early, cuts scope consciously, flags uncertainty in the data Mindset & Soft Skills: — Player-coach: the first months are personal hands-on delivery; scaling through the team runs in parallel, not instead — Speaks business: reports status in money and deadlines; prioritizes by P&L impact — which dataset unblocks which decision; no jargon walls with management and stakeholders — Owner of the direction's technical goals, not of a backlog: takes a business problem, decomposes it into tasks, executes and delegates Responsibilities - Platform — Architect and ship the central data warehouse: every trade, position, balance and P&L across all trading services; an hourly contour for BI plus a real-time contour for monitoring; trading-day logic with automatic daily reset — Build the data layers behind LP terms: market quality (spread, depth near mid price, fill rate, per-order slippage), quoting-uptime start/stop events per maker and pair, external tier-1 benchmarks and FX feeds for regional fiat pairs — Close the data debt: gaps in realized-P&L coverage, history backfills, broken monitoring services — restore or replace — Set and hold agreed data-freshness targets and pipeline-health alerting; own schemas and documentation — Own analytics delivery end-to-end: the KPI rulebook published and signed, financial / attribution / historical-performance dashboards, compliance screens and provider scorecards — Enforce a single semantic layer: one definition per metric across every report; methodology documented before a dashboard ships — Quality gate: numbers are reviewed and challenged before they reach management; sign-offs from quant / desk collected per deliverable Responsibilities : — Hire leaders-first and onboard the technical team (~10 people: data engineering, analytics & BI, technical PM) per the approved hiring plan; hand tasks down without losing velocity — Single interface to exchange tech (requirements, acceptance, freshness targets) and to analytics / quant stakeholders; run delivery in Jira against the approved one-year roadmap — After the build: run the platform as a service to the direction — researcher-generated tasks, new metrics and pair groups, regular recalibration. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 22 business days of paid leave. Additional days off for national holidays. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

Location: Seoul Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role   • You'll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. • You'll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results. • You'll guide companies in integrating GenAI solutions, making AI a tangible part of their operations. • You'll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production. • You'll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs. • You'll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages. • You'll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world. • You will travel approximately 30 to 60% of your time. • Your role will involve spending time at the client’s office.   What You Will Do   Delivering value to the customers • Execute on effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives. • Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. • On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process • Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.   Product deployment • Guide and support customers in deploying our models and products into their infrastructure. • Work closely with customers to deploy relevant solutions according to their specific requirements. • Regularly liaise with the product and technical teams to relay feedback and suggest improvements. • Develop custom features for customers as needed.   Customer Onboarding • Responsible for onboarding customers on our products, providing guidance on deployment and integration • Ensuring the best production setup from the low-level GPU stack, up to infrastructure, back-end and front-end interfaces   Project management • Define and track success metrics of the POC being rolled out at customers. • Operate as a program leader, leveraging internal Mistral teams (Applied Engineers) as well as teams on the customer side to make sure project moves forward.   What We're Looking For   • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.) • You have experience working as a DevOps, Site Reliability Engineer or Cloud Solution Architect • You're experienced with deploying and managing AI-based products in production environments • You are fluent in Python • You have experience with containerization technologies (Docker, Kubernetes), as well as CI/CD pipelines and automated deployment tools • You have a deep understanding of cloud platforms (AWS, Azure, GCP) and on-premise infrastructure • You have been involved in a customer facing role • You have strong project & stakeholder management skills • You have foundational knowledge in AI/ML/Data science • You have ability to connect technology and business value • You are result driven and resilient • Being familiar with sales qualification concepts is a strong plus   We are looking for adaptable team players who excel in a fast-paced environment and are ready to support pre-sales as well as deployment tasks, contributing to our shared goals and success.   Hiring Process (optional)   • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min System Design • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: New York, NY ABOUT CONSENSYS Consensys Incorporated is an independent blockchain infrastructure company, spun out of Consensys Software Inc. — one of the world's leading blockchain technology companies and the primary development organization behind the Ethereum ecosystem. We build and operate neutral, institutional-grade blockchain infrastructure that connects banks, asset managers, custodians, and financial market infrastructures to digital asset networks, meeting the non-negotiable standards of institutional finance: privacy, scalability, resilience, security, and regulatory readiness. Headquartered in Miami, Florida, and operating across the US, Europe, and Australia, Consensys Incorporated launched as an independent entity in September 2026 and is building the team to match its ambition. WHY THIS ROLE EXISTS We build and operate blockchain infrastructure for financial market infrastructure: settlement, custody and clearing institutions that put real value on the networks we run. We have signed clients with production dates this quarter and a platform standing on its own for the first time. Our pipeline of banks, custodians and market operators is growing faster than we can work it properly. You are the first hire on the Business Development team. You own the pipeline data and act as the coordination layer between prospects, engineering and leadership. You also make sure that what we promise in a sales conversation matches what we can deliver. When someone asks where a deal stands, what a client actually asked for, or whether a commitment is real, you're the person with the answer. WHAT YOU'LL OWN - Building pipeline with financial institutions: banks, custodians, broker-dealers, asset managers and market infrastructure providers. You work out who to approach, find the right person in each institution, and get the first meeting. - Account research before every conversation. You should know a prospect's settlement stack, where their collateral and liquidity problems are, what they've said publicly about tokenization, and who else they're talking to. Nobody should walk into a meeting cold. - Qualifying opportunities against what we actually sell: access, execution, interoperability and network engines, plus forward-deployed engineering engagements, managed hosting, interop settlement and sequencer services. That means working out whether there's a real budget, a real owner, a real timeline and a real problem we solve, and saying so early when there isn't. - Supporting live deal cycles, including discovery notes, meeting prep, follow-ups, RFP and RFI responses, security questionnaires and due-diligence packs. Institutional sales cycles are long and documentation-heavy. You keep them moving. - Pipeline and CRM discipline. Stages, next steps and close dates should reflect reality, and the forecast should hold up when someone questions it. - Market and competitive intelligence. Enterprise post-trade vendors don't publish their pricing, so what we know about it comes from conversations. You collect it, organize it and make it useful for pricing and positioning. - Translating between two worlds. Our buyers speak repo, collateral, DvP, cut-off times and operational risk. Our engineers speak sequencers, finality and nodes. You need to be fluent enough in both to bring back an accurate account of what the client asked for. - Outbound materials and messaging, working with Marketing and Product on one-pagers, case narratives, event follow-up and sequences that sound like they were written by someone who understands the client's business. - Events and ecosystem presence, including industry conferences, working groups and partner channels where institutional decision-makers show up. - Capturing client feedback for Product. What prospects ask for, what makes them hesitate and why deals stall should all reach the roadmap in a structured way. - Using AI in the work every day for research, account mapping, first drafts and meeting prep, held to the same bar for accuracy as anything else sent to a client. TWO LINES SIT OUTSIDE THIS ROLE AND YOU'LL WORK WITH BOTH CONSTANTLY: - Solutions and forward-deployed engineering own technical scoping, architecture and delivery commitments. You bring them in at the right moment with the right context, and you never promise a date or capability they haven't agreed to. - Legal and Finance own contract terms, pricing approvals and commercial structure. You make sure deals reach them clean and early, not the week before signature. WHAT WE ARE LOOKING FOR - 2–4 years in B2B tech sales, business development, or a client-facing role at a financial institution, fintech or market infrastructure provider. - Working knowledge of how institutional finance operates: trade lifecycle, clearing and settlement, custody, collateral. You don't need to be a post-trade expert, but you need to follow the conversation and ask good questions. - Real curiosity about onchain infrastructure and tokenized assets, and the ability to explain why it matters to a treasury or operations buyer without resorting to hype. - Strong written communication. Your emails, notes and summaries are clear, short and accurate. - Organized and persistent. Deals here take quarters, not weeks. You keep threads alive without being a nuisance. - Commercially sharp. You can tell interest from intent, and you'd rather disqualify a deal early than carry it on hope. - Comfortable in a company that is young and still building. The playbook is being written now, and you'll help write it. - Direct. This team has a low tolerance for polish over substance. Say the hard thing early, and say it kindly. - Coachable and collaborative. You want feedback, you act on it, and you make the people around you more effective. USEFUL, NOT REQUIRED - Experience selling into, or working at, a bank, custodian, CSD, exchange or clearing house. - Familiarity with Ethereum, EVM networks or permissioned blockchain deployments. - Exposure to repo, FX, stablecoins or tokenized treasuries/RWAs. - Experience with enterprise procurement: RFPs, vendor due diligence, InfoSec reviews. WHAT THIS ROLE IS NOT - Not a volume-dialing SDR seat. We'd rather have ten well-researched conversations than a thousand generic touches. - Not someone who overpromises to book a meeting. Our buyers remember. - Not someone who waits to be told what to do next, or who doesn't ask why an account matters. - Not someone who needs to be the loudest voice in the room. Listen first, then bring the insight. - Not a solutions-engineering role. You need to be credible technically, but you aren't expected to architect deployments. WORKING AT CONSENSYS We are a fully remote, globally distributed company. We hire the best people wherever they are, work asynchronously, and judge each other on impact rather than hours or location. We offer competitive compensation, meaningful equity, and the chance to work on genuinely open source software at the frontier of web3. Consensys is an equal opportunities employer. We celebrate diversity and are committed to building an inclusive environment for all employees.

Location: Berlin Our Story Founded in 2009, we’re one of the world’s leading game studios, and proud of our extremely international team, consisting of more than 50 different nations. We are part of Playtika and the global leader in the category of Hidden Object Games. With June’s Journey, we’re providing joy for millions of players around the world every day. How we work Our aim is to keep doing so for many more years, if not decades. In order to be able to do so, we’ve defined a distinct way of how we’re working at Wooga, so that all relevant aspects intertwine and have a positive impact on the game. No matter if you’re part of a game team or support the success of Wooga as part of a central team, all 250+ employees from around the world can make an impact. We’re proud of the environment we’ve built, and believe you’ll enjoy working with some of the best people in the industry. Our drivers: Speed, Focus, Ownership, and Impact, guide our working style at Wooga and help us make a deliberate choice to focus on what is important to us, while working towards a shared goal. These drivers shape how we work together and what we expect from ourselves and our leaders. As a Mid-level Marketing Data Analyst, you will analyze large-scale data across user acquisition touchpoints in order to generate insightful metrics, custom dashboards, and deep-dive analyses to measure marketing performance. Our marketing teams aim for best-in-class user acquisition strategies, bringing high-quality players to our games while driving innovation around performance marketing and targeted campaigns. We're looking for a passionate, results-oriented talent to join our team, develop new insights to shape data-driven decisions, continuously improve marketing efficiency, and help drive business growth for years to come. About the job Design, build, and maintain automated, interactive dashboards in Tableau to give the Marketing team up-to-date visibility into performance and KPIs. Dive deep into large-scale marketing data to identify key insights that will inform user acquisition strategies and business growth. Help define how best to measure and monitor our marketing channels, creatives, budget allocation, and overall campaign performance. Help to develop an analysis strategy and perform analysis of complex campaigns and A/B tests, both systematically and on a one-off basis. Provide data-driven recommendations to help Marketing Managers optimize their campaigns across various channels (e.g., Facebook Audience Network, Snapchat, TikTok). Partner with Data Engineering on data gathering and signal sharing, integrating 3rd-party data providers (e.g., AppsFlyer, Kochava), democratizing data with reporting tools, AI Agents, and innovating workflows. Communicate actionable results and data-driven findings across the organization clearly and concisely. About you You have recent experience in a data analyst role, preferably in digital advertising, performance marketing, or the app industry. You have experience with (app) Attribution Services (eg: AppsFlyer or Kochava). Literacy on Agentic Workflows, and other productivity and modern self-service data innovations. You can use SQL effectively within an enterprise data environment and you have a good understanding of commonly applied statistical techniques. Basic understanding of programming is not required, but is appreciated. You have strong experience using Tableau (or similar) to build interactive dashboards and visualizations. You have good problem-solving skills and can look for logical connections between marketing spend, consumer behavior, and data. You have a deep understanding of the digital advertising market,including communication patterns as they relate to consumer marketing. You are in tune with user acquisition patterns, and you understand mobile app growth. You know your way around designing, communicating, visualizing, or reporting your results/analysis so they are clear and unambiguous to both technical and non-technical audiences. Please note: Research has shown that some under-represented groups in the gaming industry (eg: women) tend to apply only if they meet every single requirement. Here at Wooga, the desire to learn and the willingness to solve problems are more important to us than your experience on paper. We encourage you to apply even if you do not think that you tick all the boxes - thinking outside of such boxes and embracing the diversity of mindsets and backgrounds is what we believe makes our teams thrive. Our Promise Shape the future! Challenge the status quo and team up with a diverse group of experts (over 50 nationalities!) working on crafting the world’s best games. We offer a generous relocation package and home search support if you are not already located in Berlin. Did we mention that we also cooperate with Kindergartens? Make use of a significant education budget and extra days off for self-development. Join our meet-ups, talks, brown bag lunches, internal trainings, workshops and many others. Enjoy the pilates, mindfulness app, sports and transport subsidies. And a Purpose Day to donate your time to a worthy cause! Did you know that German is the third most commonly taught language worldwide? Learn it too! We offer German language classes for you and your significant other. With our hybrid work model you will work in the office with your teams twice a week, to encourage in-person collaboration and team bonding. The other three days you can choose if you want to work from home or from the office. We also offer 10 days a year to work from abroad. At Wooga we are committed to providing a friendly, safe and welcoming environment for everyone who works here or with us, regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, religion (or lack thereof) and game preferences. Be yourself, we like you that way! By clicking “Submit Application” you acknowledge that you have read our Candidate Privacy Policy

Location: Hyderabad, Telangana, India About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Forward-Deployed AI Engineer — Enterprise AI Location: Hyderabad, India Experience Level: 8+ years Work Model: Hybrid, 3 days per week in office Employment Type: Full Time Why Join Enterprise AI? Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it. You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders. You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be exactly the challenge you’re looking for. As a Forward-Deployed Engineer, You Will Find the Problem Worth Solving Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive. Build Beyond the Frontier Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale. Own the Outcome You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost. The Anti-Sell High ownership and intensity: This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges. Client-first and hybrid: This role is based in Bengaluru or Hyderabad and requires working from the office three days per week. Candidates must currently be based in one of these two cities. Relocation assistance is not available. You’ll help write the playbook: Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one. Our Forward-Deployed Engineers Typically Have Deep production engineering experience: Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure. Hands-on agentic AI experience: Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows. Strong retrieval depth: Experience building and improving production retrieval systems, with a practical understanding of embeddings, vector and hybrid search, reranking, evaluation, and diagnosing retrieval quality. End-to-end systems ownership: A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost. Exceptional customer and technical leadership: The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives. Client-ready communication: The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Bengaluru, Karnataka, India About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Forward-Deployed AI Engineer — Enterprise AI Location: Bengaluru, India Experience Level: 8+ years Work Model: Hybrid, 3 days per week in office Why Join Enterprise AI? Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it. You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders. You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be exactly the challenge you’re looking for. As a Forward-Deployed Engineer, You Will Find the Problem Worth Solving Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive. Build Beyond the Frontier Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale. Own the Outcome You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost. The Anti-Sell High ownership and intensity: This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges. Client-first and hybrid: This role is based in Bengaluru or Hyderabad and requires working from the office three days per week. Candidates must currently be based in one of these two cities. Relocation assistance is not available. You’ll help write the playbook: Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one. Our Forward-Deployed Engineers Typically Have Deep production engineering experience: Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure. Hands-on agentic AI experience: Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows. Strong retrieval depth: Experience building and improving production retrieval systems, with a practical understanding of embeddings, vector and hybrid search, reranking, evaluation, and diagnosing retrieval quality. End-to-end systems ownership: A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost. Exceptional customer and technical leadership: The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives. Client-ready communication: The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Bangalore - Engineering Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION UiPath Automation Suite https://www.uipath.com/product/automation-suite is a cloud native application delivery platform which enables UiPath to deliver the entire UiPath Automation Cloud platform onto on-prem customer data centre of choice (e.g. Cloud, BareMetal, virtualised hardware etc). This is complete containerised platform which heavily uses Kubernetes and CNCF technologies. This platform enables customers to install and run UiPath’s suite of applications on a single server or on hundreds of servers based on their need. WHAT YOU'LL DO AT UIPATH - As a Senior Software Engineer (SDE-3), you will lead development efforts within a team of engineers, driving the entire software development lifecycle—from initial ideation and design to implementation and scaling. You will ensure the software we are delivering is robust, scalable, production-ready and reliable. - Incubate new ideas and create a roadmap for your areas of focus. - You will take lead on analysing complex technical issues, technology choices and communicate them with the team and stakeholders in both written and verbal manner to drive consensus. - Act as a liaison between engineers in the team, product managers and other stakeholders. - Help hire and recruit technical talent, and ensure our technical deliverables meet the customer expectations. - You will be accountable for the software deliverables to meet all requirements of quality, security, scalability, modifiability, extensibility, testability etc. - You will help establish effective and agile engineering practices across our engineering teams. - You will be mentoring and providing technical leadership to a team of engineers. - You will act as a face of the product helping onboard customers/partners and ensuring their continued success. - You will analyse product usage and operational data to help drive systemic improvements across the product. - Adhere to security and compliance standards and work with security and compliance teams to identify and address relevant issues. WHAT YOU'LL BRING TO THE TEAM - Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent practical experience. - 7+ years of experience in developing large-scale applications. - In-depth knowledge of the CNCF ecosystem, including Kubernetes, its technology stack, and cloud-native tools. - Proficiency in one or more object-oriented programming languages such as Go (preferred), C#, Java, C++, Python, or Rust, with strong computer science fundamentals. - Hands-on expertise in data structures, algorithms, and their real-world applications. - Strong understanding of object-oriented programming, multithreading, synchronization, and cloud-native design. - Advanced knowledge of Linux, CI/CD pipelines (Azure Pipelines, ArgoCD, FluxCD), and microservices architecture. - Experience working with cloud platforms such as AWS, Azure, or GCP. - Proven expertise in building high-availability services, web service development, and service-oriented architectures. - Strong skills in system architecture, design, coding, debugging, and problem-solving. - Passion for delivering exceptional customer experiences, with a strong sense of ownership and accountability. - Proactive, adaptable, and entrepreneurial mindset with a bias for action. - Ability to take initiative, navigate ambiguity, and drive impactful results. - Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Nice to Have: - Expertise in writing Kubernetes controllers and operators to manage and extend Kubernetes functionality. - Experience building multi-tenant SaaS environments. - Familiarity with LLMs and leveraging Generative AI to accelerate application development. If you enjoy building software with a broad range of modern technologies and being part of a smart, agile team that is motivated by solving hard business problems with technology, come join us! Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: Network Engineering Manager APAC / Network Team Lead APAC We are looking for a Staff Network Engineer / Player-Coach Team Lead to lead the growth, deployment, and operational execution of our APAC Network Infrastructure emerging team . In this role, you will combine direct people leadership with high-end technical expertise. You will lead a growing regional team of 2–5 jun/mid-to-senior network engineers , driving their professional development, cross-project prioritization across our Global Network , and overall execution aligned with global business objectives, with a priority on the APAC Region and backbone network development across EU and the US for APAC. As a hands-on technical manager, you will remain deeply embedded in engineering execution, dedicating approximately 50–70% of your time to hands-on engineering during your first year, with the role evolving naturally alongside organizational scale and regional team expansion. Crucially, this position demands a high degree of operational autonomy . Due to the timezone differences, you will serve as the primary regional networking authority, bridging global network architecture defined with our EU/EMEA/the US engineering headquarters and regional execution across APAC colocation sites, cable landings, and data centers. This position is remote within the APAC region (with preferred hubs in India, Singapore), with regular visits to regional DC facilities and our European headquarters in Amsterdam. Your responsibilities will include: Team Leadership & People Management Deploy APAC network part and BackBone. Lead, mentor, and structurally develop a regional engineering team of 2–5 jun/mid-to-senior network engineers across the APAC. Own regional task planning, backlog prioritization, change review governance, and end-to-end execution within the team. Drive and owning the Launch and Deploy process of New DataCentre and Customer in it Drive technical coaching, and personalized career roadmaps for team members. Foster a disciplined culture of radical ownership, engineering excellence, comprehensive runbook documentation, and Git-driven automation. Act as the regional net escalation point for production network incidents Global Follow-the-Sun Alignment: Co-own operational hand-off workflows and shared incident coverage with EMEA (HQ in Amsterdam) and the US network teams to guarantee seamless, round-the-clock global production network stability and customer workability. Cross-Functional Alignment & Strategic Autonomy Serve as the primary regional network owner for the next teams in APAC: datacenter operations team, site expansion teams. EU/EMEA Coordination: Actively partner with the Global Network Architecture and R&D to adapt core architectural standards (Clos fabrics, SRv6, backbone routing policies) to APAC market realities and carrier ecosystems. Autonomously drive regional connectivity delivery: partner closely with Technical Program Managers (TPMs) on submarine cable systems, cross-border DCI circuits, local Internet Exchanges (IXs), and regional transit providers. Coordinate with HWaaS, Compute, and Cloud Platform engineering teams to guarantee timely site bring-up, Day-0 Out-of-Band (OOB) readiness, and high-throughput fabric availability for production workloads. Bridge the gap between global strategic roadmaps and autonomous local incident resolution, ensuring APAC operations execute reliably during EMEA off-hours. Technical Leadership & Hands-on Work (50–60%) Full Regional Network Ownership: Own and guarantee overall network infrastructure readiness, capacity, and availability across emerging APAC network infrastructure, ensuring alignment with HQ blueprints and processes Actively contribute to the design, deployment, and operation of massive data center fabrics and backbone infrastructure. Support and participate in the evolution high-performance Ethernet-based GPU cluster interconnects. Participate in complex, high-severity troubleshooting and root-cause analysis (RCA) for critical infrastructure incidents. Oversee and contribute to network automation pipelines, tooling, and telemetry/observability development. We expect you to have: Expert-Level Technical Background: Service Provider or/and Data Center Clos networks. BGP, IS-IS, Segment Routing (SR-MPLS / SRv6), and advanced traffic balancing Ethernet switching, EVPN-VXLAN architectures, and L3 VPNs. Leadership Experience: Proven track record as a Tech Lead, Lead/Staff Engineer, or People Manager leading mid-to-senior engineering teams. Vendor Ecosystem: Juniper, Arista, Cisco, NVIDIA It will be an added bonus if you have: Hands-on experience with GPU cluster, RoCEv2/ECN or InfiniBand networks Solid understanding of Public Cloud networking models and Software-Defined Networking (SDN) overlays. Proficiency in Python or Go for infrastructure automation and production tooling within Linux environments. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

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

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

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Marathi speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Marathi speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Marathi, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Marathi and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Kannada speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Kannada speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Kannada, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Kannada and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Telugu speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Telugu speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Telugu, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Telugu and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.