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Location: London, United Kingdom 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 Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly. In this position, your responsibility will be to Design, implement, and operate core runtime services for serving search queries at scale Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets Develop systems that maintain performance and predictability under high load Optimise CPU, memory, and data access patterns in performance-critical paths Ensure reliability, observability, and predictability across production services Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals Support experimentation and iteration through controlled rollouts and rigorous benchmarking You may be a good fit if you: Have 8+ years of experience as a software engineer working on production backend systems Have strong hands-on expertise in C++ or Rust in real-world, high-load services Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints Understand performance at a systems level — CPU, memory, networking, and data access Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary Think end-to-end about request flows rather than staying within isolated components Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings Strong candidates may also have experience with: DBMS internals (open source or SaaS) and cloud infrastructure High-load web applications or large-scale APIs Performance-critical systems such as trading platforms or real-time data pipelines Low-level performance tuning and hardware-level optimisation Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Regional Director - Public Sector, UK/I As a Regional Director, UK/I Public Sector in GitLab's EMEA Sales team, you'll lead a regional Public Sector sales organization focused on driving growth across the UK and Ireland. You'll be responsible for building and executing the regional sales strategy, growing existing customer relationships, expanding the client base, and helping your team deliver against revenue goals. You'll work closely with cross-functional partners across Marketing, Customer Success, Ecosystems, and Sales to create a strong customer experience and bring GitLab's value to strategic accounts across the region. Some examples of our projects: Developing and executing regional sales plans that align territory priorities, account growth, forecasting, and team performance to support GitLab's revenue goals Building strong relationships with key decision-makers across Public Sector accounts while coaching a regional sales team to grow pipeline, close complex opportunities, and expand customer value What you'll do Leads and executes best-in-class sales strategies that exceed revenue and growth targets for the team. Ensures the sales team consistently delivers high performance, setting the standard for excellence across the organization Develops and executes strategies focused on expanding the client base within the territory Maintains close contact with assigned accounts by establishing strong relationships with key decision makers. Develops and maintains a strong executive call plan and relationship with the CXO's & Program level leaders for the account set Analyzes market dynamics in an effort to maximize existing successes and to create new sales growth opportunities Drives the transformation to a solution-selling approach. Focuses on growing our top-tier client base and positioning our offerings as transformational solutions. Cultivates a mindset that goes beyond product selling to consultative, long-term client partnerships. Prioritises customer adoption and consumption. Works directly with customers to ensure that they derive maximum value from our solutions. Support the team in fostering long-term relationships and driving customer success. Leads efforts to explore and execute verticalisation as a model for scaling. Provide strong strategic direction for the development of vertical sales teams and specialized market approaches. Prepares forecasts, territory/industry management, and growth plans Educates team on significant industry factors including competitive products, regulations, trends, customer needs, and pricing Establishes and reports on metrics to measure team performance; correct deficiencies where necessary Ensures that the sales plan is aligned with and supports the corporate revenue goal Invests time weekly to build and engage a pipeline of top talent for potential future hires Manages a team of 5-10 Strategic Account Executives; fosters a successful and positive team environment. Hires, coaches and develops top talent into the team Drives a high performing sales organisation Leads by example whilst being a role model for the team Empowers individuals to grow their own business What you'll bring Demonstrated progressive experience in field sales, operations and leadership Data-informed sales management skills, including building repeatable processes, pipeline discipline, and forecast accuracy using Salesforce (or a similar CRM). Experience selling complex, high-value software solutions and expanding customer relationships within commercial accounts. Experience selling to Fortune 500; willingness to "roll up your sleeves" and sell Demonstrated progressive experience leading field sales teams using the MEDDPICC or similar sales methodology. Strong solution selling experience and experience elevating the team to be solution sellers Proven track record of meeting or exceeding performance objectives (revenue targets, pipeline targets, etc.) Ability to exercise effective judgment, sensitivity, creativity to changing needs and situations; ability to handle a fast-paced environment and challenging workload Strong relationship building and negotiation skills Strong presentation skills; Executive level communication skills (both written and verbal) and the ability to mentor others You share our values, and work in accordance with those values. Leadership at GitLab Ability to use GitLab About the team The Regional Director reports to the Area Vice President of GitLab North Region. The Sales team at GitLab helps organizations adopt the most comprehensive AI-powered DevSecOps platform while building long-term customer relationships rooted in trust, value, and measurable outcomes. Remote-Global How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

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 Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly. In this position, your responsibility will be to Design, implement, and operate core runtime services for serving search queries at scale Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets Develop systems that maintain performance and predictability under high load Optimise CPU, memory, and data access patterns in performance-critical paths Ensure reliability, observability, and predictability across production services Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals Support experimentation and iteration through controlled rollouts and rigorous benchmarking You may be a good fit if you: Have 8+ years of experience as a software engineer working on production backend systems Have strong hands-on expertise in C++ or Rust in real-world, high-load services Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints Understand performance at a systems level — CPU, memory, networking, and data access Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary Think end-to-end about request flows rather than staying within isolated components Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings Strong candidates may also have experience with: DBMS internals (open source or SaaS) and cloud infrastructure High-load web applications or large-scale APIs Performance-critical systems such as trading platforms or real-time data pipelines Low-level performance tuning and hardware-level optimisation Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - 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. Europe 3PL operations manager Position Overview The European 3PL Manager owns Nebius's network of external warehouses and the performance of the 3PL partners who run them. The role ensures that high-value data center hardware stored and handled by third parties is received, stored, picked and shipped to the same standard as in Nebius-operated sites. The manager controls 3PL operations through SLAs, KPIs, audits and system data, coordinates daily flows between 3PLs and internal teams (Transport, Planning, Back Office, ITDC, Security), and drives cost, compliance and continuous improvement across all external locations. Key Responsibilities 3PL Network & Partner Management Manage the portfolio of external warehouses and 3PL partners across EMEA/US/APAC. Own contracts, SLAs and rate cards together with Procurement and Legal; prepare renewals and renegotiations. Run monthly operational reviews and quarterly business reviews (QBRs) with each 3PL; agree and track improvement plans. Act as the primary escalation point for 3PL partners and for internal teams on 3PL-related issues. Operations Control Set and enforce operating standards for 3PLs: receiving, put-away, storage, picking, packing, dispatch and returns (RMA). Ensure 3PLs follow Nebius SOPs for handling heavy, fragile, high-value equipment (racks, GPU servers, HSM devices). Monitor daily operational performance through WMS data, reports and site visits; act on deviations. Lead root-cause analysis of incidents (damage, loss, mis-shipments, delays) and follow corrective and preventive actions to closure. Inventory Control & Audits Ensure inventory accuracy at external sites: cycle counts, annual stock takes and reconciliation with ERP/WMS. Organise periodic on-site audits and inspections of 3PL warehouses (process, security, safety, documentation). Coordinate with Back Office on stock discrepancies, adjustments and asset records. Support internal and external (SOX) audits for inventory held by third parties. Coordination with Internal Teams Align inbound and outbound volumes with Logistics Planning and Transport so 3PLs have capacity and labour in time. Coordinate with ITDC and Project Managers on staging, kitting and release of hardware to data center sites. Work with Security on access control, CCTV, pre-arrival information and secure-storage requirements at 3PL sites. Ensure accurate and timely data exchange between 3PL systems and Nebius ERP/WMS (integrations, ASNs, stock reports). Cost Management Own the 3PL budget: storage, handling, value-added services and accessorial charges. Validate 3PL invoices against contracts and actual activity together with Back Office; resolve disputes. Track cost per pallet / rack / movement and identify savings through consolidation, space optimisation and renegotiation. Network Development: Onboarding & Exit Assess needs for new external storage based on DC expansion plans and capacity forecasts. Lead 3PL selection (RFI/RFQ, site assessment) with Procurement and onboard new partners: SOPs, system setup, training, go-live. Manage 3PL exits and stock transfers with zero loss and full traceability. Compliance & Risk Ensure 3PL operations meet security, safety, insurance and customs requirements (e.g. bonded storage where applicable). Maintain audit-ready documentation on contracts, SLAs, audits and incidents. Identify operational and dependency risks in the 3PL network and maintain contingency plans. Team Leadership Lead 3PL / External Warehouse Specialists as the function scales; set priorities, onboard and develop them. Define workflows, responsibilities and escalation paths between the 3PL team, Warehouse Operations and Transport. Key Performance Indicators (KPIs) KPI Definition SLA compliance % of 3PL SLA targets met (dock-to-stock, order cycle time, on-time dispatch) Inventory accuracy % match between 3PL physical stock and Nebius ERP/WMS Incident rate Damage, loss and mis-shipment cases per 1,000 movements CAPA closure % of corrective actions closed by due date Audit results Score / findings from 3PL on-site audits and SOX tests Cost per unit 3PL cost per pallet / rack / movement vs. budget Invoice accuracy % of 3PL invoices matching contract and activity without dispute Expectations Autonomy: Full ownership of the 3PL network and partner performance; escalates contract, budget and major-risk decisions. Impact: Directly affects hardware availability, inventory accuracy and warehousing cost across all external sites. Leadership: Leads 3PL specialists and steers partner teams without direct authority. Travel: Regular trips to 3PL sites for audits, reviews and onboarding. Work Mode: Hybrid, with regular presence at key logistics sites. 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: Hyderabad, India Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drive everything we do. Our Information Security team enables innovation at speed—securely. As digital guardians of DoorDash, Deliveroo, and Wolt, we safeguard our systems and the data of our employees, customers, riders, and partners. We defend against emerging cyber threats and embed security into every facet of the business. From building resilient defenses and responding to incidents to empowering teams with security knowledge, we are trusted partners protecting these global brands from the inside out. About the Role The Senior Security Operations Centre Specialist offers a unique opportunity to shape our global Security Operations strategy across a global footprint of DoorDash, Deliveroo, and Wolt. This role provides the platform to optimize our technology and AI investments while pioneering new methods to protect our data, people, and partners. As we expand, your specialist capabilities will be essential to our continued success. What you’ll be doing Work in a 24/7 global security operations centre, including scheduled night and weekend shifts. Lead the triage and investigation of security alerts, including phishing, malware, network attacks, security hygiene and privacy related incidents within specified SLAs. Mentor a team of SOC Specialists, providing the necessary guidance and feedback to deliver a best-in-class security service to the business. Lead the development and continuously improve operational documentation, processes and playbooks Build and manage autonomous AI runbooks to automate and scale our alert triage capabilities. Lead incident response and escalation, ensuring lessons learned are translated into continuous security improvements. Support the design, development and review of threat-detection use-cases to identify suspicious activity across our cloud environment. Feed into the risk framework of emerging and observed threats from intelligence and / or incidents (e.g., post incident activity / repair items). Support wider security incident investigations involving Threat Intelligence and Incident Response & Digital Forensics stakeholders. Keep up to date with current security trends, advisories, publications and security research across the threat landscape Leverage metrics and KPIs to improve security posture and identify opportunities for strategic optimisation Collaborate with the team to develop and help deliver cybersecurity awareness programs for employees, emphasising incident reporting and best practices. Requirements 6–8 years of experience in SOC, demonstrating success in managing security incidents and delivering platform optimisations while acting as a technical mentor and lead for shift operations. Proven experience building threat detection capabilities in a cloud-centric, fast-moving organisation. Hands-on experience with AWS security config, SOAR, GSO, EDR/XDR, Splunk and SQL queries. Practical experience ideating, configuring, managing defensive security solutions and technical project management Committed to continuous improvement, leveraging feedback to elevate both personal and team performance. Exceptional collaborative team player and a knowledge-sharing mindset. Working knowledge of security compliance standards, e.g. ISO27001, GDPR, NIS2 and PCI-DSS. Capable of working well both independently and collaboratively, whilst keeping calm, under the pressure of an incident with potentially high impact to the business. Able to communicate effectively during or after any incident update to both technical and non-technical stakeholders. Coordinate with the US, UK and EU central security teams as required. Preferred, but not required Understanding of IAM cloud security principles Experience in a DevOps environment with familiarity of CI/CD pipelines Hands-on experience with container technologies and orchestration services Knowledge of cloud security data encryption standards and principles Why Deliveroo? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎A culture built for builders High standards, collaboration, flexible working and continuous learning. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: United States, Remote 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. Staff Software Engineer – Data Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale. The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity. We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data platform. Responsibilities · Design, build, and operate large-scale distributed data systems that power real-time and near real-time analytics,, and data-driven applications across PlayStation. · Lead the architecture and evolution of RTAP’s stream processing and analytics platforms, improving scalability, reliability, performance, and developer productivity. · Own critical platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management. · Build and optimize distributed data services using technologies such as Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid to support high-throughput, low-latency workloads. · Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable, scalable data platforms. · Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity. · Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization and platform reliability. · Mentor engineers across the organization by reviewing architecture, designs, and code while raising the technical bar through coaching and technical leadership. · Partner with Product, Infrastructure, Security, and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities. · Investigate and resolve complex production challenges involving high-throughput, low-latency distributed systems, ensuring high availability and operational excellence. · Participate in the team's production support and on-call rotation, leading incident response, conducting root-cause analysis, and implementing reliability improvements that strengthen the platform over time · Evaluate emerging technologies and distributed data platforms, recommending investments that improve scalability, reliability, developer productivity, and cost efficiency. Requirements · Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. · 8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering. · Strong proficiency in Python , with experience building production-grade distributed systems and data processing applications. Experience with Scala is beneficial for supporting and evolving existing platform components. · Hands-on expertise designing and operating large-scale stream processing applications using Apache Flink , Apache Spark Structured Streaming , or equivalent distributed streaming technologies. · Production experience designing, operating, and optimizing distributed analytics platforms using ClickHouse , Apache Druid , or equivalent high-performance OLAP/analytics databases, including query optimization, data modeling, and performance tuning at scale. · Experience building and consuming event-driven data pipelines using AWS MSK , Apache Kafka , or equivalent messaging platforms, with a focus on developing reliable, scalable data processing applications. · Experience applying AI/ML techniques and modern AI tooling to automate engineering workflows, improve data pipelines, simplify platform operations, and enhance developer productivity. · Strong systems design skills with the ability to evaluate architectural trade-offs across scalability, latency, throughput, consistency, reliability, and cost. · Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams. Nice to Have · Experience with Databricks , Apache Iceberg , or modern lakehouse architectures, with the ability to design and integrate batch and streaming workloads into scalable, production-grade data platforms. · Experience building or operating multi-tenant, self-service data platforms supporting multiple engineering organizations. · Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment. Your First 90 Days 30 Days: Develop a strong understanding of the platform’s architecture, capabilities, engineering practices, and roadmap.Begin contributing to architecture discussions, feature development, design reviews, and production support.Build relationships within the team as well as across  the Data Platform organization. 60 Days: Take technical ownership of a major platform capability or architectural area. Identify opportunities to improve scalability, performance, reliability, or developer productivity.Collaborate with Data Engineering, Infrastructure, Product, and other partner teams on cross-platform initiatives. 90 Days: Lead the design and delivery of key roadmap initiatives for the team..Influence technical direction across teams and mentor engineers on distributed systems and platform engineering best practices.Establish clear architectural recommendations for the next phase of the platform’s evolution. In 90 days, you will have a detailed understanding of the Real-Time Analytics Platform and its role within PlayStation’s broader data ecosystem. You will be comfortable owning complex distributed systems initiatives, partnering closely with Product and Engineering teams, and driving large-scale solutions from architecture through production delivery. 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. The estimated base pay range for this role is listed below. $198,200 — $297,400 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: London, England Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for a senior lawyer with strong experience advising on commercial and technology matters to join our legal team. You'll be working in an exciting and constantly evolving environment while establishing relationships cross-functionally with our sales, strategic partnerships, and other teams to close contracts with our customers and partners. This is a full time role that can be held from our London hub or remotely in the United Kingdom. What you’ll do at Figma: Lead on complex, strategic deals, drafting and negotiating customer-facing agreements: software services agreements, data processing agreements, regulatory annexes, security documents and privacy policies. Draft and negotiate distribution, reseller, professional services and referral agreements. Act as a strategic adviser to key business partners on complex legal issues, working closely with Sales, Deal Desk, Revenue Recognition and other stakeholders. Track emerging legal and regulatory developments, including the EU AI Act, and develop policy and risk positions where needed. Work with Revenue Recognition, Security, Sales Operations and other teams so our agreements are consistent with Figma's policies and processes. Mentor colleagues, including junior lawyers working with you on deals, and help improve our legal resources and know-how. We’d love to hear from you if you: Are a UK-qualified solicitor. Have at least 6 years of relevant experience reviewing, drafting and negotiating commercial and technology agreements (for example enterprise sales agreements, data processing agreements and SaaS agreements) and partnership agreements (for example service partner, reseller and referral agreements). Build relationships and credibility easily, and enjoy partnering with others. Work hard and stay comfortable in a fast-paced, fast-changing environment, whether the project is large or small. Understand AI, privacy and other regulatory issues in commercial tech transactions. Have experience using and advising on artificial intelligence. While it’s not required, it’s an added plus if you also have: Additional language skills, especially French and German. A privacy qualification, such as CIPP/E. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Tbilisi, Georgia; Buenos Aires, Argentina; Spain; Serbia Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for a Junior Pa rtner Account Manager (fluent in Spanish, Russian, and English ) to join our Quality Compliance  team in Content & Service Quality Operations department. Your main tasks will be: Independently managing operational and analytical tasks from goal setting through to execution and result control; Analyzing statistics, reports, and key partner performance metrics to identify quality improvement opportunities; Developing and implementing quality sufficiency and strategies in collaboration with the team and cross-functional stakeholders; Supporting and managing partners in Bitrix CRM, including handling complex and non-standard requests; Contributing to the improvement of partner-related processes and tools (CRM, reporting, files, internal guidelines); Collaborating with internal teams to achieve shared goals related to efficiency and cost optimization. We expect from you: Proficiency in Spanish and Russian (reading, writing, ability to communicate) - C1+; Proficiency in English (reading, writing, ability to communicate) - B1+; Excellent communication skills; Experience in negotiating, working with contractors, partners, working with claims; Confident work with data in tables (Google Sheets, Excel); Advanced user of Google Workspace. What do we offer: REMOTE OPPORTUNITY to work full time; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences and meetings; Corporate discount for English lessons ; Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for merch, team building activities, massage certificates, etc. Sounds good? Join us now!

Location: Australia Workplace: Remote Role highlights: - Business Development Manager - Location: Any Australian state capital city, Canberra preferred - Department: Data Sales - Reports to: Data Sales Director, Australia & New Zealand - Employment type: Permanent - Workplace model: Remote first, frequent travel expected - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Business Development Manager, you’ll bridge the gap between ICEYE’s world-leading ISR satellite capability and the people who use space-based geospatial intelligence at the sharp end of Australian and New Zealand (ANZ) defence and national security. You will open doors, build credibility, and ensure the ANZ’s most important intelligence users understand what makes ICEYE genuinely different. ICEYE is not the traditional defence prime. ICEYE is a different proposition entirely. We are one of the world’s fastest-growing space companies, and we are only at the beginning of what we intend to build in the ANZ region – not only in defence and intelligence, but across a range of industry verticals where geospatial intelligence is a critical need. From day one, you'll own the full sales cycle for Data Sales business clients — identifying opportunities, shaping deals, and closing multi-year contracts — with the autonomy to move at pace and build the strategic relationships that expand ICEYE's presence across the ANZ market. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation, we provide this proven capability as a sovereign system as both a data and managed service business. ICEYE serves customers in defence and intelligence, environmental monitoring, insurance, mining, maritime and emergency management. We enable fast decisions that contribute to a safer future. ICEYE is expanding both satellite technological capabilities and its advanced data processing product suite, and over time the range and breadth of data products will increase. This is a learning role that will span a range of industries and use cases. Founded and headquartered in Finland, ICEYE operates globally with over 1200 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities - Report to the ANZ Data Sales team - Build and maintain a trusted network of Intelligence and GEOINT practitioners across ANZ defence, intelligence and other industries: attending user engagements, demonstrations, and briefings to represent ICEYE credibly at the working level and stay close to user needs, priorities, and procurement timelines. - Advise internal ICEYE teams (Missions, Data and Solutions) on how ANZ military and intelligence users consume intelligence imagery, what tradecraft matters, and how to frame ICEYE’s products in language that resonates with analysts and collection managers. - Identify key decision-influencers across ANZ target organisations, and plan, host, and lead ICEYE engagements, from technical demonstrations to senior roundtables, to build trust and advance ICEYE’s standing. - Participate as needed in ANZ military exercises that incorporate ICEYE capability, representing ICEYE at the operational level and capturing lessons that feed back into product and service development. - Maintain strong CRM discipline and provide clear market intelligence to support business planning and decision-making. - Produce responses to RFPs, proposals, inbound enquiries, assist with promotional material and attend relevant industry events. What we’re looking for Must haves: - An established personal network within the ANZ geospatial community at the working and mid-senior level (people who will take your call) - 5+ years of strategic sales or enterprise business development experience in the aerospace, defence, space, ISR, earth observation, or related government technology sector. - Proven experience selling to ANZ government, defence, or public sector organisations, with an existing network you can activate from day one - Strong understanding of earth observation, ISR, or satellite-based capabilities, ideally including SAR. - Proven ability to run complex sales cycles, including lead qualification, opportunity development, capture planning, stakeholder mapping, and deal closure. - Willingness to travel as required, primarily across the ANZ region and to Europe. Nice to haves: - Currently serving as a reservist, or recently transitioned from active duty within the last five years. - Familiarity with SAR (and other ISR) geospatial satellite products, or experience working with commercial SAR (and other ISR) providers. - Experience using Salesforce or another CRM. - Sales training in Miller Heiman, Korn Ferry, Shipley, or a similar methodology - Holds current ANZ Defence Security Clearance Application Process - Recruiter interview - Hiring Manager Interview - Peer interview(s) - VP 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. Salary range is dependent on experience, and will be negotiated individually. 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—we’ll 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: Amsterdam, Netherlands; London, United Kingdom; Remote - Europe; 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. We are seeking a Senior ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI. Our focus is agentic search, where AI systems plan, retrieve and refine rather than just return results. You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in real time. This is a high-impact role working on a production system used 24x7, operating at the scale of web search. Your responsibilities: Train and deploy ML models for retrieval, reranking, and search relevance, such as embedding models and cross-encoders, in production Develop models supporting crawling, data selection, and content understanding Build and maintain the data, training and evaluation pipelines behind our models: training-data generation, evaluation sets and retraining Contribute to and improve our ML platform: training and orchestration workflows (Kubernetes, GPU scheduling, experiment tracking, model lifecycle) and inference optimisation for low-latency serving Work closely with engineering to integrate and deploy ML models in production services, balancing latency, quality and cost Apply the latest architectural advances and training procedures for retrieval and LLM-integrated systems Must-haves: 5+ years of experience in software engineering or applied machine learning Strong programming skills in Python and at least one of Go or C++ Proven experience deploying ML models in production systems Solid understanding of machine learning and modern deep learning, including transformers and embeddings Experience building data or ML pipelines and working with workflow orchestration Ability to define meaningful model metrics and evaluate models rigorously Product-oriented mindset with a focus on impact and iteration Nice-to-haves: Hands-on experience with retrieval, ranking, or recommendation Experience with Kubernetes, distributed training or GPU scheduling, or inference optimisation (batching, quantisation, compilation) Contributions to open-source projects, technical publications, or conference talks Strong results on public benchmarks or leaderboards (e.g. MTEB , BEIR ) or models released on Hugging Face 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.

Участвовать в разработке ядра платформы и самых сложных задачах команды. Разбираешься в дата-инфраструктуре: ETL/ELT, DWH и Data Lake, модели данных, витрины, семантический слой.

Location: Amsterdam Workplace: OnSite ABOUT US: Tebi is creating the first Connected Restaurant Management System that makes hospitality flow. In one seamless platform, Tebi embeds sales, reservations, kitchen prep, payments, and all the data that powers it, creating smooth service and intuitive insights. Founded by Arnout Schuijff, co-founder of Adyen, and backed by €50 million in funding from Index Ventures & CapitalG, Tebi is built in service of hospitality first. Thousands of restaurants, cafés, bars, and coffee shops across the Netherlands, UK, Italy, Spain, Germany, Denmark and Finland already love running on Tebi. ABOUT THE ROLE: Restaurant owners generally aren't on LinkedIn and they don't read e-books. They ask friends, search Google, and more and more often, they ask ChatGPT. We need someone who can find new ways to reach them and get those ideas live quickly. We're hiring a Growth Marketer to build and ship our organic and non-paid growth experiments. This role is for a builder, not a strategist. You'd rather ship a working test today than a polished deck next week. You'll take ideas from the backlog to live, measure them honestly, and double down on what works. Using AI and no-code tools, you'll build pages, tools and campaigns yourself instead of relying on agencies and six-figure budgets. You'll report to the Head of Marketing, who sets direction and priorities. You'll work in deep collaboration with our other growth marketers, product marketing and creative teammates, plus embed yourself in the wider org of Sales, Account Management, RevOps, Product, and more. WHAT YOU'LL BE DOING: - Ship growth experiments, fast: Take ideas from our growth backlog and get them live: landing pages, tools, ads and content. Run plenty of them, keep what works and kill what doesn't. - Get Tebi recommended by AI: Own our visibility in ChatGPT, Claude, Perplexity, Gemini and Google's AI Overviews. Create and update content built to be cited, not just published, and track how often we show up compared with competitors. - Build tools operators actually use: Build free tools, calculators and templates for restaurant owners, and scale our programmatic landing pages. Use no-code, AI and vibe coding tools to ship without waiting on engineering. - Run creative campaigns: Help launch scrappy, unconventional campaigns across markets, from competitive campaigns to guerrilla and partner media, with the support of our Marketing team. - Turn word of mouth into a channel: Test referral and sharing ideas that turn merchant word of mouth into a steady flow of demo requests. Work with our Product Growth team to build the winners into the product. - Keep paid and organic working together: Support our performance agency with landing pages, creative tests and tracking. - Measure everything: Keep the experiment log up to date: hypothesis, cost, result and next step. Set up tracking and UTMs properly so we know what actually drove each demo. How we'll measure success: - Experiments shipped each month, and what we learned from them - Demo requests from organic and other non-paid channels - How often Tebi appears in AI answers for our category, by market - Demos from free tools, the reservation widget and programmatic pages WHAT YOU’LL BRING: - Think like a growth marketer but move like a hacker. You know what drives results and how to build just enough to prove it - Ship rather than spec. A working prototype today beats a polished plan next week - Have built and launched things yourself, like pages, tools, automations or campaigns, and can tell us what happened, including what didn't work - Already use AI to work faster and have a point of view on how it's changing the way people find products - Are hands-on with no-code and AI tools (Framer or Webflow, Zapier or Make, Claude or ChatGPT, Cursor or similar), without being precious about the stack - Are comfortable with data and honest about results, in GA4, HubSpot, Looker or whatever gets the answer - Have creative, sharp ideas and the discipline to ship the unglamorous parts too - Take ownership and don't wait to be told what to do. No task is above or beneath you - Speak fluent English. Another European language is a plus Nice to have: - Experience with SEO, and with AEO or getting a brand cited by AI tools - Experience marketing to small businesses, or a background in hospitality - Vibe-coding projects you're proud of We don't have a minimum number of years for this role. We care more about how you think and what you've built than how long you've been doing it. If this sounds like you but you don't tick every box, we'd still like to hear from you. Benefits: - Start-up Equity - Competitive Salary - Lunch Provided in Office - Team building events - Unlimited time off WHAT IS RESTAURANT SOFTWARE? Restaurants and other merchants use various software systems such as Point of Sale (POS), Reservations, Kitchen Display Systems (KDS), Payments, Inventory, Staffing, and the list goes on. These systems all need to speak to each other which they frequently don’t. It’s a mess, and we are fixing it. From buying a croissant at a cafe to having dinner with friends, it’s a €4 Trillion+ global market and a critical part of everyday life in today's economy. HOW WE USE AI AT TEBI We use AI the way our merchants use Tebi, to cut out the friction and get to what matters faster. We believe in a world where AI increases quality, efficiency and speed. At Tebi, AI isn't a policy or a checkbox, it's just part of how we work. It helps us write, analyse, build, and improve but doesn’t make the last call. If there's a smarter way to do something, we want to find it.

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process. Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.   THE OPPORTUNITY - You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption. - Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions. - Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling. - Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions. - Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress. - Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems. - Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks. - Improve data timeliness, enabling near-real-time insights where they add business value. - Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.   WHAT YOU BRING - 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams. - Strong SQL and Python skills, including writing, debugging and maintaining production code. - Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation. - Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools. - Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders. - A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve. - Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes. - Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation. - Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.   NICE TO HAVES - Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations. - Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Brazil; Peru; Colombia; Argentina; Canada; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process. Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.   THE OPPORTUNITY - You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption. - Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions. - Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling. - Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions. - Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress. - Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems. - Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks. - Improve data timeliness, enabling near-real-time insights where they add business value. - Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.   WHAT YOU BRING - 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams. - Strong SQL and Python skills, including writing, debugging and maintaining production code. - Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation. - Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools. - Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders. - A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve. - Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes. - Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation. - Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.   NICE TO HAVES - Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations. - Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark.       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Kuala Lumpur, Malaysia Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About this Job You will be expected to show a high level of technical knowledge and professionalism at all times when responding to queries from international legal authorities, law firms and relevant third parties within a stipulated time-frame. What You’ll Be Doing Attending to inquiries from legal authorities and legal representatives from all around the world while maintaining delivery of a high quality service level. Liaising with internal stakeholders such as compliance, risk and customer service teams ensuring all queries are dealt with in a professional manner and escalating where appropriate. Maintaining a working knowledge of company products to effectively communicate with external stakeholders. Creating and maintaining strong relationships with company partners and external stakeholders. Escalate any queries or unresolved issues to Supervisors and as advised by the operations management, which cannot be completed within the agreed procedures. Support the enhancement of our Legal Response function. Manage or participate in specific projects which may arise from time to time. What We Look For In You A degree in law / compliance or any related field which demonstrates critical thinking. Excellent communication and writing skills, and are detailed-oriented. Literate in Chinese (read and write) as this role caters to the China market. Ability to work independently and as part of a team. Comfortable working in a fast-paced, dynamic environment with changing priorities. Strong people skills: Ability to navigate difficult situations and stay calm under pressure. Solutions mindset: passionate to find the right solution and resolve the issue. Excellent time management: ability to multi-task to solve issues while managing time. Quick learner: ability to ramp up quickly and act on feedback constructively. Willingly to work on a rotational shift to support 24x7 operations . Why Join Us? Competitive remuneration package (Basic Salary + Shift Allowance + KPI Allowance + Yearly Bonus) Meal allowance Transportation allowance (T&C apply) Monthly team building RM 3,500 training & wellness benefits per annum Convenient workplace (5 minutes walk from MRT TRX) Insurance coverage for employees & dependants Excellent prospects for growth and promotion Employee engagement, recognition and appreciation program Multinational working environment: Advance your career by interacting with individuals from various backgrounds, cultures, and nations Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Задачи: — Участвовать в архитектурных решениях, проектировании, развитии и эксплуатации PaaS-платформы на базе Kubernetes, включая компоненты ClickHouse и Redis/Valkey. — Автоматизировать жизненный цикл Data Services: развертывание, масштабирование, миграции, обновления, резервное копирование, репликацию и восстановление. — Создавать и развивать решения самообслуживания для команд разработки. — Стандартизировать и развивать платформенные практики: Service Catalog, SLO/SLA, GitOps и IaC. — Участвовать в устранении инцидентов, анализировать стабильность и производительность платформы. — В первую очередь развивать платформенные компоненты для ClickHouse и Redis/Valkey, формировать стандартные сценарии их предоставления и эксплуатации в Kubernetes. Требования: — Понимание Kubernetes как платформы: архитектуры control plane и data plane, жизненного цикла объектов, примитивов нагрузки Deployments, StatefulSets и DaemonSets, механизмов контроля и reconciliation. — Уверенное знание Kubernetes storage stack: StorageClass, PVC/PV, особенности stateful-нагрузок, репликация и отказоустойчивость. — Практический опыт эксплуатации и тюнинга ClickHouse от 3х лет: репликация, шардирование, ClickHouse Keeper, оптимизация запросов и хранения, резервное копирование и восстановление. — Практический опыт эксплуатации Redis или Valkey: репликация, Sentinel или Cluster, механизмы персистентности, переключение при отказах, оптимизация памяти и задержек. — Опыт развертывания и эксплуатации stateful-операторов Kubernetes для ClickHouse и Redis/Valkey или участие в разработке и кастомизации собственных операторов. — Опыт работы с Terraform и понимание принципов IaC. — Опыт построения CI/CD pipelines для инфраструктурных компонентов. — Практическое владение GitOps-подходом, например Argo CD или Flux, и умение проектировать процессы развертывания платформенных компонентов. — Понимание процессов Software Development. Дополнительно приветствуется: — Опыт решения эксплуатационных задач, связанных с кластеризацией, высокой доступностью, backup/restore и производительностью других Data Services в Kubernetes. — Опыт разработки Kubernetes-операторов и контроллеров на Go или Python. — Опыт работы с multi-tenancy в Kubernetes. — Знание принципов распределенных систем: CAP, Raft, quorum и consensus. — Опыт участия в архитектурных обсуждениях и принятии решений при построении PaaS/DBaaS. — Опыт работы с policy-as-code: OPA, Gatekeeper или Kyverno. — Экспертиза в observability-стеке: Prometheus, Grafana, VictoriaMetrics и Jaeger, умение строить метрики и алерты для Kubernetes и Data Services. — Умение находить корневые причины инцидентов, связанных с latency, IO bottlenecks, сетью и потреблением памяти. — Опыт работы с Helm и проектирования production-чартов. Условия: — Полный рабочий день. — Возможна удалённая работа из любого города России. — Официальное трудоустройство, полностью белая зарплата. — Медицинское страхование (ДМС) и возможность онлайн-консультаций с врачами. — Возможность выступать на конференциях и писать статьи. — Собственный учебный центр с курсами, тренингами и книгами для повышения квалификации. — Офисы в Москве, Санкт-Петербурге и Новосибирске для гибридного формата работы.

As a Customer Success Manager your mission is to serve as a trusted advisor to Mercell's public sector Finnish customers, proactively guiding them to effectively use Mercell's solutions, driving product adoption, managing renewals, and ensuring long-term value creation and partnership sustainability.

Location: Warsaw, Mazowieckie, Poland; Limassol, Cyprus; Sofia City, Bulgaria Workplace: hybrid Capital.com is building out its internal platform capabilities, and AI is a growing part of that. The role combines architectural ownership with hands-on delivery: you will design, build, deploy and operate the platform, including its infrastructure and DevOps. Reporting to the Director of Product Security, you will set up this function as its first member and make the early technical decisions that the future team will build on. As Platform Architect, you will own the architecture of the platform that more than 1,000 employees rely on, including their access to AI tools such as Anthropic Claude, OpenAI and future providers. Responsibilities: Build the AI platform architecture: the reference design for how LLM capabilities are accessed, governed, monitored, and extended across the organisation. Own every architectural decision for the AI platform, and document, justify, and stand behind each one. Evaluate and select new models, tools, and frameworks as the market moves. Deliver the platform as a service, so teams can move their agents into governed cloud infrastructure. Govern Anthropic (Claude API, Claude Code, Anthropic Enterprise), OpenAI, and future providers, covering API access controls, credential management, model version policy, cost allocation, and acceptable use standards. Own technical relationships with Anthropic and OpenAI at the enterprise level. Build cloud infrastructure for AI workloads on AWS and GCP: Bedrock, SageMaker, Vertex AI, Cloud Functions, and supporting services (S3, Cloud Storage, IAM, and monitoring on both platforms). Deploy and securely configure n8n, and build automation workflows connecting LLMs to Jira, Confluence, Slack, Google Workspace, HR systems, and proprietary data sources. Design and secure MCP servers and gateways connecting AI agents to internal services. Build Python integrations for AI-powered internal tooling: RAG pipelines, agent frameworks, prompt libraries, and internal AI assistants. Deliver hands-on: you write the code, build the workflows, and deploy the tooling. This isn't an advisory role. Build data privacy and security architecture for LLM usage in a regulated environment, including prompt classification, output controls, and audit trails aligned with FCA, CySEC, ASIC, and DORA. Build observability across the full stack: token consumption, cost per team, latency, error rates, and policy violations across cloud platforms and direct API providers. Build an AI adoption framework of standards, patterns, and onboarding materials that let teams across Technology use AI safely and consistently. Run internal enablement through workshops, documentation, and direct support for teams moving from ad-hoc AI use to governed, repeatable processes. Report AI platform status, risks, and roadmap to Technology leadership Requirements: 8+ years in engineering, with at least 2 years building LLM-based systems in production, not prototypes or POCs. Comfort operating as the first person in a function: you set your own priorities, unblock yourself, and deliver without a team around you. Production-grade Python: tooling that others depend on, not scripts you hand off. Deep, hands-on experience with the Anthropic and/or OpenAI APIs: function calling, tool use, streaming, RAG, prompt management, token optimisation, and model versioning. Hands-on experience with agentic platforms, MCP servers, and MCP gateways, including designing flows between AI agents and internal services. n8n: deploying, securely configuring, and maintaining multi-step automation workflows at organisation scale. Solid AWS for AI workloads: Bedrock, SageMaker, Lambda, S3, IAM, and CloudWatch, deployed and operated in production. Solid GCP for AI workloads: Vertex AI, Cloud Functions, Cloud Storage, IAM, and Cloud Monitoring. Hands-on DevOps capability to deploy and run what you build. Architectural thinking: end-to-end system design, clear trade-off documentation, and the ability to defend decisions to senior stakeholders. Security engineering for what you build: secrets and credential management, key rotation, and least-privilege IAM across cloud and SaaS. Data protection and auditability by design: classifying what data can reach which model and provider, controlling and logging prompts and outputs, and building audit trails that hold up to a regulator. Fluency in the LLM threat surface, including prompt injection, data exfiltration through model outputs, insecure tool and agent use, and model supply-chain risk, with working knowledge of a recognised framework such as the OWASP LLM Top 10 or NIST AI RMF. Nice to have: Fintech, brokerage, or financial services background. DORA or ISO 27001:2022 knowledge as it applies to AI system risk. Familiarity with the EU AI Act and other AI regulatory requirements, as well as AI-specific risk and governance standards such as NIST AI RMF or ISO/IEC 42001. LLM orchestration frameworks: LangChain, LlamaIndex, or similar. Hands-on experience with LLM guardrail and DLP tooling: Bedrock Guardrails, Vertex AI safety filters, or prompt-firewall and PII-redaction tools. Experience building internal developer platforms or AI centres of excellence. AWS Solutions Architect Professional, Google Professional ML Engineer, or equivalent. Grow with Capital.com and help shape how millions of people access the markets.