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Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin.ai is building the AI agent that resolves customer support conversations autonomously — and our partner ecosystem is central to how we scale adoption in the EMEA market. As a Principal Partner Manager for EMEA, you'll own our partner relationships across a defined set of priority markets, working closely with our direct sales team to drive revenue through systems integrators, value added resellers, and local implementation partners. This is a builder role for someone who thrives in a dynamic, high-growth environment. You'll be the architect of Fin.ai's EMEA partner motion — standing up programs, forging relationships, and converting partner activity into measurable pipeline for AI-driven customer support deployments. You'll operate across multiple partner types simultaneously and serve as the connective tissue between our ecosystem and our sales team. The ideal candidate brings a hunter's instinct to partnerships: proactive, commercially sharp, and energised by the challenge of building something meaningful in a market with real momentum around AI adoption in customer service. You'll work cross-functionally with sales, marketing, and regional leadership — and you'll be a visible face of Fin.ai in the EMEA partner and CX community. What will I be doing? Take ownership of Fin's partner portfolio across a defined set of priority EMEA markets, spanning systems integrators, cloud resellers, and local consulting partners Design and run joint go-to-market motions with regional consulting firms and CX implementation partners Connect partner-sourced activity directly into the regional sales team's pipeline through account mapping, warm introductions, and active deal support Bring together cloud reseller and consulting partners teams around shared enterprise opportunities, orchestrating joint plays where it makes sense Build durable, senior-level relationships with partner leadership, positioning yourself as a de facto member of their go-to-market org Own the reporting on partner-influenced and partner-sourced pipeline, and represent program results to internal leadership and the broader EMEA team Jump in on partner-led implementations when needed to protect delivery quality and keep partners bought in Vet inbound partnership requests and go hunting for new relationships that open doors for Fin in your markets Partner with Fin's global and EMEA teams to localize programs for your region and feed regional learnings back into the broader partner strategy What skills do I need? 8+ years in partnerships, channel, or alliances roles within enterprise SaaS, cloud, or CX/customer support software Hands-on experience managing cloud resell & consulting partnerships — you're not a one-partner-type operator Strong pipeline-generation instincts — you think in terms of sourced and influenced revenue, not just relationship health Commercial fluency — you can draw a straight line from partner activity to closed revenue A natural collaborator with direct sales teams — you know what makes a rep's life easier and you build for that Range across levels — equally credible in a room with a partner CRO and coordinating day-to-day logistics with a partner marketing manager Comfort operating in fast-moving, high-growth environments where the playbook is still being written Familiarity with the EMEA market landscape; open to regular travel across the region Operational rigor — you can run multiple live partner relationships in parallel without anything slipping, and you over-communicate rather than under Genuine curiosity about AI and a willingness to use AI tools to work smarter #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: New York; Florida; Massachusetts; Virginia; Georgia; Pennsylvania Workplace: Remote About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. About the team Product Security at Chainalysis keeps our SaaS platform — used by governments, banks, and crypto exchanges to investigate financial crime — secure by design. We partner directly with product and platform engineering on threat modeling, design reviews, penetration testing, and remediation of findings across our AWS and Kubernetes estate. As a Senior Security Engineer, Infrastructure, you’ll help secure and operate the cloud and Kubernetes environments that support Chainalysis products and our Hosted AI Platform (HAIP). You’ll combine production operations with practical security engineering: responding to platform alerts, troubleshooting infrastructure, and shipping guardrails and improvements through Terraform and Kubernetes. You’ll work closely with Infrastructure Security, Platform Engineering, AI Core, and other engineering partners to address risks at their source and make secure, reliable infrastructure easier to operate. This is a hands-on engineering role for someone who is comfortable in a terminal, has supported production systems, and can take an infrastructure issue from investigation through resolution. In this role, you’ll: - Troubleshoot Kubernetes workloads and cloud services, investigating pod health, logs, errors, latency, and upstream provider issues to find root causes. - Ship reviewed Terraform and Kubernetes changes that strengthen HAIP and broader cloud infrastructure security and reliability. - Improve AWS and edge/network controls—including IAM, networking, secrets, encryption, logging, and Cloudflare—and reduce recurring misconfigurations through reusable patterns and runbooks. - Use Python or similar scripting, monitoring improvements, and cross-team partnership to automate operational work and drive fixes through to completion. - Participate in the AI Product on-call rotation, triage production alerts, communicate clearly, and escalate when needed. We’re looking for candidates who have: - Production cloud infrastructure experience, preferably in AWS, plus working knowledge of security controls such as IAM, networking, secrets, encryption, or logging. - Hands-on production Kubernetes experience: inspect workloads, read logs, and troubleshoot failures using command-line tools. - Experience authoring Terraform changes that have been reviewed and deployed to production; comfort shipping changes through Git and pull requests. - Production on-call or incident-response experience, including alert investigation, clear communication, and sound escalation judgment. - Python or similar scripting ability, familiarity with monitoring/logging tools - Experience working with stakeholders across the R&D organization to collaborate and resolve security issues with urgency and a team-first approach. NICE TO HAVE: - Experience operating AI/ML infrastructure, LLM platforms, or services integrating with model providers; familiarity with AI gateway concepts such as model routing or quotas. - Experience with Cloudflare or other edge/network security controls. - Exposure to cloud security posture management tools such as Wiz, Prisma Cloud, or Orca. - Experience with GitOps tools such as Argo CD or Flux. - Familiarity with blockchain, crypto, fintech, or regtech infrastructure. TECHNOLOGIES WE USE: - Cloud and containers: AWS, GCP, Kubernetes (EKS/GKE) - Infrastructure-as-Code: Terraform - Security tooling: Wiz, SonarCloud, Burp, Cloudflare - CI/CD and source control: GitHub, GitHub Actions, Artifactory and related build/deploy tooling - Languages and scripting: Java, JavaScript, Python, Go - AI Coding Agents, Tooling, Systems AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role JDC Warehouse Specialist Position Overview The Warehouse Specialist runs day-to-day warehouse operations at a Nebius data center site. The role receives, stores and issues high-value hardware (GPU racks, servers, network equipment, spare parts), keeps stock and asset records accurate, and provides equipment to data center engineers on time. The specialist is the site's hands-on link to the wider logistics function: Transportation and Transport Coordination for arrivals and pickups, Logistics Planning and 3PL Planning for schedules, Back Office for system records, and the Project Office for new processes and tools. Key Responsibilities 1. Receiving & Dispatch •    Receive inbound shipments per the delivery schedule; check seals, packaging and contents against ASN, packing list and PO. •    Record damage and discrepancies with photos on arrival and hand them to Transport Coordination for insurance cases. •    Prepare outbound shipments and RMA returns: picking, packing, labelling, documents; hand over to carriers at the agreed pickup time. •    Follow handling standards for heavy, fragile and high-value equipment. 2. Provisioning to Data Center Operations •    Issue equipment and spare parts to DC engineers on time, according to requests and project priorities. •    Stage and kit hardware for rack deployments as agreed with ITDC and Project Managers. •    Keep a clear view of what is available on site and flag shortages to the Team Lead and Logistics Planning. 3. Inventory & Asset Control •    Post receipts, issues and transfers in ERP/WMS on the same day as the physical movement. •    Create inventory and asset records for received equipment, including serial numbers. •    Carry out cycle counts and annual stock takes; investigate and report discrepancies to Back Office. •    Keep the warehouse tidy, labelled and organized by location. 4. Security, Safety & Compliance •    Follow site security procedures for deliveries, access control and storage of high-value items. •    Apply safety rules for handling equipment and operating material handling equipment. •    Keep records complete and audit-ready (SOX, internal and external audits). 5. Process & Continuous Improvement •    Work according to global SOPs and site-specific instructions. •    Suggest improvements and report recurring issues to the Team Lead and the Project Office. •    Take part in pilots and rollouts of new processes and tools (WMS/TMS, automations) at the site. 6. Local Expertise •    Provide site-specific knowledge (access rules, dock limits, local carriers and customs specifics) to Transport, Planning and 3PL teams. •    Identify local operational risks and propose practical mitigation. 7. Add-on Roles (when assigned) •    + RMA: own RMA flows at the site — intake, documentation, return shipment, status tracking. •    + Key User (IRG / NetSuite / Project44): first-line support and training for colleagues on the system, test changes, collect feedback for the Project Office. Expectations Autonomy: Independently runs daily warehouse tasks at the site within SOPs; escalates discrepancies, damage and security issues to the Team Lead. Impact: Keeps DC engineers supplied with the right hardware on time and keeps site stock accurate. Communication: Clear, timely updates to the Team Lead, DC engineers and logistics teams. Travel: Occasional support to other sites during launches or peaks. Work Mode: On site; remote work not expected. 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.

Workplace: remote Requirements 3+ years of relevant experience Strong Python skills and experience with ML ecosystems (AWS Sagemaker, MLFlow) Hands-on experience working with tabular/time series data with usage of ML Solid understanding of machine learning fundamentals: Supervised learning, feature engineering, model evaluation; Overfitting, regularization, cross-validation Knowledge of statistical methods and probability theory Experience with experiment design and offline evaluation Ability to work with large datasets and build efficient data processing pipelines Familiarity with SQL and data querying Strong analytical and problem-solving mindset Ability to clearly communicate findings and trade-offs Ownership of tasks from research to implementation Curiosity and willingness to explore new approaches English proficiency at B1 level or higher Nice to have Experience in financial machine learning, quantitative finance, or trading systems knowledge of signal generation, alpha research, portfolio construction or risk modeling Experience with: Deep learning for tabular/time series data (Transformers, RNNs, etc.); Probabilistic modeling or Bayesian methods Hands-on experience with production ML systems (MLOps, monitoring, retraining) Ability to define research direction and identify high-impact opportunities Decision-making under uncertainty Ability to translate business problems into ML solutions Responsibilities Develop and validate machine learning models for financial time series and cross-sectional data Conduct research on alpha signals, feature engineering, and predictive modelling techniques Design experiments and backtesting frameworks with proper statistical rigor Work with large-scale structured and unstructured financial datasets Collaborate with engineering teams to deploy models into production pipelines Analyze model performance, stability, and robustness under changing market conditions Improve data pipelines, labeling strategies, and evaluation methodologies We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Any questions? Veronika hh@itransition.com

Location: Bangalore, India About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns Collaborate across time zones with global teams while serving as the technical expert for the India market You may be a good fit if you have: 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Ability to work effectively across cultures and time zones as part of a global team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Amsterdam, Netherlands 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. Summary: Location: Amsterdam Duration: 3 months Start date: Winter 2027 Compensation: Paid Eligibility: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist Work authorization: Permitted to work in the job's location The role We are looking for a Software Engineer to join us as a part of Early Talent Program. You will work alongside experienced engineers, learn how high-performance backend systems are designed and operated, and contribute code that runs in real environments used by customers worldwide. You will get hands-on experience with distributed systems, workflow orchestration and engineering best practices in a team working at the cutting edge of AI cloud infrastructure. The team The Compute Control Plane team builds the core of the Nebius cloud: the Compute API, through which every VM, disk, snapshot and GPU cluster is created. The service manages 50K+ resources across 10+ regions and coordinates with storage, networking, quotas, billing and IAM, handling long-running operations and hardware failures along the way. We work in Go, gRPC, Temporal and Kubernetes. Current projects include snapshots, live VM updates, resource reservation, rate limiting and protection against cascading failures. Our engineers own their features end-to-end, from design to production. We expect you to have: Knowledge of at least one programming language (Go is a must) Understanding of basic algorithms and data structures Strong motivation to learn, grow and develop as a backend engineer Willingness to work with complex systems and ask questions What we offer: Competitive salary and comprehensive benefits package Mentorship from experienced AI, ML and cloud infrastructure professionals Hands-on experience with real customer workloads and production systems Opportunities for professional growth within Nebius A dynamic and collaborative work environment that values initiative and innovation Opportunity to be considered for a full-time role after the Early Talent Program 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. #LI-MM3 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: Tel Aviv Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As an Algorithms Developer at Via, you will play a central role in shaping how millions of riders and drivers move through our cities every day. Our team turns complex, multi-dimensional operational challenges into real-time optimization that powers Via’s mass-scale automated dispatch system. You will explore rich, diverse data sets, develop algorithms that make smart decisions at scale, and have a direct impact on the efficiency, reliability, and quality of our service. This is an opportunity to combine deep technical expertise with real-world operational impact at global scale. About the Role: Model and mathematically represent competing demands on Via’s system to enable scalable, real-time decision-making. Develop online algorithms for real-time decision-making, focusing on optimizing system utilization while maintaining a high quality of service for riders. Design and implement highly efficient and scalable algorithmic solutions to power decision-making systems under large-scale, real-world operational demands. Collaborate closely with engineering, product, and operations teams to translate complex algorithmic insights into practical, impactful solutions. About You: Advanced degree (M.Sc. or PhD) in Computer Science, Mathematics, Physics, or a related field. Significant research background and hands-on experience developing algorithms 3–4+ years of experience implementing algorithms in practical, production-scale systems. Analytical thinker who can extract the essential elements of complex, real-world problems and convert them into actionable models. Hands-on coder with experience in Python (or similar) and the ability to turn ideas into working solutions. Naturally curious, fast-learning, and collaborative, with strong interpersonal and communication skills. Compensation and Benefits Joining a global employer with over 700 mobility deployments in 40+ countries. Our product impacts millions of users around the world providing alternative transport solutions that are more: efficient and accessible, changing cities to make them greener. Competitive compensation package which includes base salary and stock options. Health insurance with a discount for family members. Hybrid work and a lovely office situated in the heart of TLV, in Midtown, close to the light rail and train station. Career development and growth opportunities. Other perks: Freefit and other sports lessons, 10bis/Cibus - you choose!, happy hours, team events, communities and many more benefits. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

-6-8+ years building full-stack products, including time as the senior person on the work. -Strong relational database skills, Postgres or MySQL: schema design, indexing, query tuning, transactions, and what actually happens under load.

Location: US - Remote Customers are no longer asking whether AI works—they’re asking what it will change about how they operate. As an AI Success Architect, you’ll help enterprise customers answer that question and turn Asana’s AI capabilities into measurable business results. You’ll own the post-sales relationship for a portfolio of ~50 enterprise accounts, acting as a strategic advisor with accountability for AI adoption, consumption, and commercial outcomes. In this advisory role, you’ll diagnose where AI changes how work gets done and guide the organizational change that makes it stick. This role can either be fully remote depending on which US state you live in, or based in our Chicago office with an office-centric hybrid schedule . If based in-office: The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do and the teams with which you partner . If you're interviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Serve as the trusted advisor and point of accountability for a portfolio of enterprise accounts across the customer lifecycle. Build joint success plans that connect strategic customer goals to measurable results, leading business reviews focused on outcomes and value rather than just usage. Diagnose customer workflows and map them to Asana’s AI capabilities (AI Studio, AI Teammates, and integrations built on the Model Context Protocol, or MCP) to replace manual effort and accelerate decision-making. Assess how customers structure their work in Asana, guiding them to establish habits and governance that supply AI models with rich, consistent context. Lead change management and enablement programs that build internal champions and ensure long-term, sustained adoption. Track AI consumption and adoption against clear baselines and 30/60/90-day benchmarks, translating usage data into a compelling business story. Identify expansion readiness for new AI use cases, products, or broader deployments, initiating conversations and partnering with the account team once validated. Monitor account health, engagement, and sentiment to proactively mitigate risks well ahead of renewals. Partner cross-functionally with Solutions Engineering, Professional Services, and Sales, while sharing structured customer insights with Product and Customer Success leadership. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. 5+ years of experience in customer success, strategic account management, or enterprise technology, with a track record of driving delivery and adoption for complex, high-value accounts. Proven background managing enterprise relationships across both technical and business stakeholders. Solid understanding of how AI agents function, workflow automation principles, and where AI provides substantial versus incremental impact. Comfort discussing pricing, ROI, and commercial outcomes with senior executives, ideally within consumption-based models. Strong competency in change management and program management across concurrent, long-term initiatives. Effective communication skills across audiences, from executive presentations to tactical working sessions with operations teams. Ability to navigate fast-paced, ambiguous environments with sound judgment. Willingness to travel up to 20% to customer sites as needed. Expe rience with enterprise AI, automation, or workflow platforms (or familiarity with MCP) is a plus. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehens ive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission . We bel ieve that compensation should be reflective of the value you create relative to the market value of your role . To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit . For this role, the estimated base salary range is b etween $116,800 - $148,800 . The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process . The listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits . If you're interviewing for this role, spe ak with your recruiter to learn more about the total compensation and benefits for this role . We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fi tness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an Enterprise Account Executive at Anthropic based in Seoul, you’ll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises within Korea’s Healthcare & Life Sciences space — pharmaceutical and biotech companies, CDMOs and CROs, medical device and diagnostics makers, hospital systems, and digital health companies — unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the Korean landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic’s emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities Win new business and drive revenue for Anthropic in Korea. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze the Korean Healthcare & Life Sciences landscape, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases across R&D, clinical development, regulatory and quality, manufacturing, and patient- and provider-facing functions. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Help customers navigate Korea’s healthcare regulatory and data environment, including Ministry of Food and Drug Safety (MFDS) and Ministry of Health and Welfare (MOHW) requirements, the Personal Information Protection Act (PIPA) and Medical Service Act as they apply to patient data, and GxP/validation expectations Inform product roadmaps and features by gathering customer feedback and conveying the needs of the Korean market. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have 8+ years of enterprise Healthcare & Life Sciences sales experience in Korea, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach A genuine understanding of how Korean hospitals and life sciences companies make technology decisions, including the role of regulators, quality and compliance functions, and IT governance A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills in both Korean and English, and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves” mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely What We Offer Competitive base salary and commission Equity participation Comprehensive benefits Hybrid work model Access to cutting-edge AI technology and world-class research team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive based in Seoul, you'll drive adoption of safe, frontier AI technology across Korea's financial services industry — banks, insurers, asset managers, and fintech companies. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them modernize operations, risk, and customer-facing functions with Anthropic's AI solutions. Key responsibilities Own and exceed revenue targets by winning new accounts and expanding relationships across Korea's FSI companies. Build and execute territory plans, identifying opportunities across retail banking, corporate/investment banking, insurance, asset management, and fintech-adjacent units Lead consultative sales processes with senior stakeholders — including heads of digital transformation, risk and compliance leaders, IT leadership, and business-line executives Navigate Korea's FSI regulatory environment, including Financial Supervisory Service (FSS) requirements, data residency, model risk, and financial-sector compliance Work with internal teams (Product, Engineering, Applied AI, Partnerships, Legal) to tailor solutions that meet financial-sector security and compliance standards Stay informed on trends shaping Korean FSI, including digital banking, AI in risk/underwriting, and regulatory shifts around AI use in finance Preferred qualifications 8+ years of enterprise sales experience in Korea, with significant exposure to financial services A genuine understanding of how Korean financial institutions make technology decisions, including the role of regulators, internal risk/compliance functions, and IT governance Direct experience navigating Financial Supervisory Service (FSS) requirements and review processes — this is required given how heavily FSS oversight shapes technology adoption in Korean FSI A track record of managing complex, multi-stakeholder sales cycles typical of FSI, including rigorous security and compliance review Proven experience exceeding revenue targets within financial services accounts Excellent communication skills in both Korean and English A passion for AI built and deployed safely What We Offer Competitive base salary and commission Equity participation Comprehensive benefits Hybrid work model Access to cutting-edge AI technology and world-class research team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote; Europe; Switzerland; Poland; United Kingdom; Netherlands Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role You’ll build the tools that make Studio a video editor people want to live in. These include transitions, color grading and elements libraries all built on top of our in-house engine. You’ll also build presets, so a user can get the effect they want without tweaking 20 individual controls. The work mixes greenfield features with polish on the existing editor. An example of the polish is letting editors coming from Premiere Pro or Final Cut Pro rebind their keyboard shortcuts in one step. You’ll write proposals, get fast feedback, and own features through launch, including the marketing moment. You’re a product-minded, frontend-leaning full-stack engineer. Deep backend skills aren’t required. Requirements - Strong frontend engineer who has built complex, interactive UIs. - Enough full-stack ability to work across the stack, but deep backend expertise isn’t needed. - Evidence of product responsibility: side projects, open source, or product-facing work. - Thrives in a fast-moving, startup-style environment, and takes ownership with minimal hand-holding. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE The Robotics Engineer will be responsible for the operation, maintenance, and optimisation of the robotics fleet and AI Data Collection System. The role focuses on ensuring that data-collection pipelines, hardware setups, and system configurations support reliable experimentation and high-quality dataset generation for robotics research and development. A key aspect of this role is ensuring maximum system uptime and rapid response to issues that may impact data-collection Continuity. Role Purpose To ensure continuous, reliable operation of the robotics fleet and AI Data Collection System, enabling high-quality data generation and uninterrupted experimentation for robotics research. This position is a permanent night shift, with working hours of 10:30 pm - 7:00 am, and may require occasional travel in line with business needs.   WHAT YOU'LL DO: - Ensure continuous uptime of the robotics fleet and AI Data Collection System through proactive monitoring, rapid issue response, and preventive maintenance. - Oversee daily system operation, ensuring all robots, sensors, and data pipelines are functioning correctly. - Configure and prepare robotic systems for data-collection runs, including calibration, software setup, and environment readiness. - Execute and support data-collection experiments in collaboration with engineers and researchers, ensuring reliability and repeatability. - Manage the collection, verification, labelling, and organised storage of datasets used for imitation learning and related ML workflows. - Troubleshoot hardware, software, and system issues to minimise downtime and maintain workflow continuity. - Maintain accurate records of equipment status, system utilisation, and performance, and coordinate procurement of required components and replacements. - Develop and follow operational best practices to ensure safety, efficiency, and standardisation across data-collection activities. - Schedule and prioritise robotics and data-collection resources to optimise experiment throughput and system availability. - Support improvements to data-collection processes, system stability, documentation, and operational procedures.   WHAT WE'RE LOOKING FOR - Bachelor’s or Master’s degree in Robotics, Engineering, Computer Science, or a related technical field. - Practical experience operating robotic systems or automated hardware setups. - Strong organisational, time-management, and communication skills. - Experience with data collection, dataset organisation, and data-management workflows for machine learning or robotics. - Hands-on experience with ROS (Robot Operating System). - Proficiency with Linux-based development and runtime environments. - Basic proficiency in Python or C++ (preferred but not required). - Preferred Qualifications • Experience with inventory tracking, procurement, and supplier coordination. • Familiarity with operational safety practices and compliance requirements. • Demonstrated interest in robotics, automation, and applied research.   WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Amsterdam, Netherlands 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. Role Overview Nebius is building the infrastructure for the AI era, providing scalable cloud and AI infrastructure solutions to some of the world's most innovative organizations. As our business continues to grow, operational excellence, data accuracy, and scalable commercial processes are critical to delivering an exceptional customer experience. The Sales Operations Specialist will support and optimize core commercial operations processes across contracting, billing, and sales support functions. This role is responsible for ensuring the accuracy and integrity of commercial data throughout the customer lifecycle—from sales request validation and contract execution to billing configuration, invoicing support, and operational reporting. The role focuses on ensuring that sales agreements are accurately translated into contracts, billing configurations, and internal systems while maintaining operational accuracy, pricing compliance, and smooth cross-functional coordination. The ideal candidate combines strong attention to detail, analytical thinking, and a process-oriented mindset to support business growth and operational excellence. Key Responsibilities Commercial Operations & Contract Management Support the end-to-end contracting lifecycle (quote to signature) by validating commercial requests, customer agreements, pricing terms, discounts, and billing requirements. Partner with Sales, Legal, Finance, and Customer Success teams to facilitate seamless contract execution and customer onboarding. Ensure customer contracts and commercial terms are accurately reflected across internal systems and operational workflows. Handle both routine and non-standard operational cases, providing solutions and escalating issues when necessary. Ensure adherence to pricing guidelines, approval workflows, and commercial policies. Billing Operations & Revenue Support Support billing processes, configurations, and system administration to ensure accurate invoicing and revenue operations readiness. Review and validate sales requests to ensure contractual terms and billing details are correctly reflected in internal systems. Coordinate with Finance regarding invoice, payment, or billing discrepancies and support issue resolution. Participate in the NBA Ops Channel on-call rotation, supporting operational requests and routine case management. Prepare and maintain standard operational, billing, and payment reports. Ensure proper documentation and effective communication across teams. Identify operational gaps, process bottlenecks, or deal execution risks and proactively escalate them. Partner closely with Sales teams to ensure operational readiness and smooth deal execution. Data Quality & Operational Analytics Monitor data accuracy across CRM, ERP, and billing systems and proactively identify discrepancies. Support reporting and analysis related to contracting, billing, operational performance, and commercial processes. Contribute to process improvement initiatives by identifying opportunities to increase efficiency, scalability, and data quality. Assist in maintaining operational KPIs and performance metrics to support business decision-making. Key Qualifications & Experience Must-Have Requirements 1–3 years of experience in Sales Operations, Commercial Operations, Revenue Operations, Billing Operations, Finance Operations, or a related analytical role. Experience working with CRM, ERP, and billing systems such as Salesforce, NetSuite, HubSpot, or similar platforms. Strong analytical and problem-solving skills with the ability to investigate discrepancies and identify root causes. Exceptional attention to detail and commitment to data accuracy. Strong organizational and communication skills. Professional working proficiency in English. Understanding of the commercial impact of operational decisions, including pricing, discounts, and margin considerations. Preferred Qualifications Experience in SaaS, cloud infrastructure, AI, or technology companies. Exposure to contracts, invoicing, billing, collections, or payment processes. Experience working with reporting or business intelligence tools is an advantage. Competencies & Behavioral Traits Analytical Mindset: Uses data to validate information, identify trends, and support operational decision-making. Attention to Detail: Ensures accuracy and consistency across contracts, billing configurations, reports, and operational processes. Learning Agility: Demonstrates curiosity and a willingness to learn new processes, systems, and tools. Collaboration: Works effectively with peers and cross-functional stakeholders to achieve shared goals. Ownership & Accountability: Takes responsibility for assigned tasks, proactively addresses issues, and follows through on commitments. Adaptability: Thrives in a fast-paced environment and effectively manages changing priorities and business needs. Process Improvement Orientation: Continuously seeks opportunities to improve efficiency, reduce manual effort, and strengthen operational controls. 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: London QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organisation applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors. The Market Access Team builds and supports the systems connecting QRT with markets, brokers and data providers, enabling reliable trade execution and access to real-time market data. Your future role within QRT We are seeking a Market Access Platform Lead to manage and develop the team responsible for QRT’s global market data platforms. You will combine people management, technical leadership and delivery ownership while working closely with exchanges, vendors, traders and internal technology teams. The role is expected to involve the following activities: Lead and develop a team of platform engineers through clear objectives, regular feedback, performance reviews and career development. Coach team members, support recruitment and onboarding, and promote technical ownership and knowledge sharing. Prioritise team capacity across production support, project delivery and platform improvements. Own the reliability, data quality and scalability of market data pipelines, including PCAP, PIDUMP and reference data. Provide technical direction and contribute to configuration, scripting, tooling and complex troubleshooting. Oversee infrastructure ownership, SIM/UAT environment provisioning and capacity planning. Improve testing, post-deployment validation, observability, automation and platform performance. Lead desk requests, exchange and vendor upgrades, and platform initiatives while managing dependencies, risks and stakeholder communication. Your present skillset Proven experience directly managing a technical team, including coaching, performance management and professional development. Strong experience supporting or engineering market access, market data or comparable production platforms in a trading environment. Practical knowledge of financial markets, exchange data feeds and market data processing. Hands-on Python or Bash development and scripting skills. A track record of delivering technical projects and operational improvements across competing priorities and dependencies. Clear communication and sound judgement when working with traders, engineers, infrastructure teams and external providers. A proactive approach to ownership, attention to detail, reliable operations and clear documentation. Desirable to have experience or a willingness to learn in the following areas C++ development, code changes and deployment workflows. Data or cloud engineering, including ingestion infrastructure and automated pipeline quality checks. Reliability engineering, DevOps, observability or performance tuning for latency-sensitive trading systems. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we offer initiatives and programmes to help employees achieve a healthy work-life balance.

Location: Armenia; Czech Republic; Spain; Hungary; Albania; Serbia; Poland; Portugal; Italy; Romania; Slovakia Workplace: Remote Location: Valencia, Spain, or Brindisi, Italy, or fully remote within Southern & Eastern Europe (teleworking up to 5 days per week) Start date: ASAP Languages: Professional proficiency in English required; Spanish is a plus Industry: Virtualization / IT Infrastructure / IT Services Duration: Long Term ABOUT THE OPPORTUNITY Pragmatike is hiring a Storage and Backup Engineer to provide engineering expertise and operational support to Storage and Backup infrastructure either within the organization or for partner entities. The role combines architecture, design, implementation, and day-to-day administration, with responsibility for onboarding new services, adapting solutions to evolving technologies and customer needs, and ensuring reliable, secure, and recoverable infrastructure The ideal candidate is an experienced Storage and Backup Engineer with at least 8 years of handson experience in supporting, designing, managing and optimizing enterprise storage and backup environments. The candidate will work under the guidance of the Team Lead, Infrastructure Operations, and collaborate with other support teams. The candidate is expected to demonstrate strong problem-solving skills, a proactive approach to service improvements and the ability to work independently while supporting a team-oriented environment. WHAT YOU’LL DO - Design and implement enterprise storage and backup architectures aligned with business, availability, recovery, capacity, and security requirements. - Administer and maintain storage arrays, SAN fabrics, and backup platforms, including daily health checks, storage provisioning, host integration, backup client configuration, schedules, retention policies, and replication. - Plan and execute installations, upgrades, migrations, capacity expansions, and proof-ofconcept deployments, including testing, validation, and rollback procedures. • Monitor and analyze system health, performance, capacity, and backup success; resolve bottlenecks and implement improvements. - Resolve incidents, problems, and service requests; provide Tier 3 support, lead root-cause analysis, and implement corrective and preventive actions. - Perform restores and recovery tests, and support disaster-recovery exercises to validate data protection and recovery capabilities. - Apply security controls, hardening standards, and approved configuration changes in accordance with established policies and change-management procedures. - Collaborate with vendors and internal teams on maintenance, upgrades, interoperability, and complex issue resolution. - Develop and maintain tools and scripts to automate storage and backup provisioning, monitoring, reporting, and routine operations. - Deliver storage and backup projects for the organization and its partner entities, including technical assessments, business cases, project proposals, and operational handover. - Maintain technical designs, configuration records, runbooks, and recovery procedures; share knowledge and promote best practices within the team. - Participate in standby/on-call duties, planned maintenance, and other service-coverage arrangements when required. WHAT WE’RE LOOKING FOR - Minimum 8+ years of relevant IT work experience in managing and configuring enterprise Storage and Backup environments and related services in a complex heterogenous environment - Extensive hands-on experience in the administration and troubleshooting of block and file storage systems across multiple vendor platforms (e.g., NetApp, Dell PowerStore, Dell ECS systems) - Excellent knowledge in the installation and administration of Enterprise Backup systems (e.g., DELL Avamar, PPDM, Data Domain, Veeam B&R and other market leaders in backup solutions) - Expert-level troubleshooting and problem resolution for storage and backup infrastructures. - Solid understanding and knowledge of storage technologies (Cisco/Brocade Fabric switches, VSANs, WWPNs, NPIV, multipathing, Fibre channel, iSCSI) - Strong understanding of data protection, disaster recovery, and best practices in backup and storage management. - Good understanding and knowledge of networking technologies - Working Experience in shell scripting and automation tools (e.g., Python, Ansible, Terraform) - Ability to work under pressure with minimum supervision - Customer-centric approach to delivery and problem solving - Good knowledge of ITIL service management methodology NICE TO HAVE - Experience with Hyper Converged Infrastructure or Software Defined Storage solutions is an advantage - Good presentation skills and ability to convey complex technical information to nontechnical audience - Experience with service reporting and business analytics - Experience with cloud storage solutions (e.g., AWS S3, Azure Blob Storage) - Experience with virtualization technologies (e.g., VMware, Hyper-V) - Industry-recognized certifications in Storage, Backup, or Cloud Technologies. - Certifications in any programming language or scripting framework (e.g., Python, Ansible, PowerShell). - ITIL, ISO20000, PRINCE2 certifications WORKING CONDITIONS - Teleworking: up to 5 days per week - On-call: one week per month (rotation depends on the number of team members) - Overtime must be pre-approved by the client Team Leader - Overtime rates: 125% of the daily rate Monday to Saturday, and 150% on Sundays and client public holidays - Stand-by availability for on-call services is included in the daily rate - Interventions during an on-call period are billed at the overtime rates above - Overtime and on-call interventions may alternatively be compensated with time off, if mutually agreed by both parties Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: Canada, Waterloo, ON 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. At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real. Sr Software Development Engineer in Test , ML Locations: Madison, WI and Waterloo, Ontario Canada P layStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions. Responsibilities: Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas. Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment Debug and analyze test failures, model anomalies and report defects Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy Develop and implement best practices for test automation that is highly scalable and maintainable Monitor test execution and optimize performance in test environments Come up with innovative solutions to organizational problems Required Qualifications: A Bachelor's degree in Computer Science or related field Minimum 5 years of experience as an SDET, with strong experience testing backend systems. Proficiency in Python/Java/Scala/go for test automation. Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases  for backend validation. Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.) Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health Strong understanding of software development lifecycle (SDLC) and agile methodologies. Excellent problem-solving skills and excellent communication skills. Preferred Qualifications: Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems. Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors. Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions. Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus. Experience with performance and load testing tools Experience with Databricks or similar ML platform tooling Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms. 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. The estimated Ontario base pay range for this role is listed below. $114,000 — $143,000 CAD 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: United States, Madison, WI 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. At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real. Sr Software Development Engineer in Test , ML Locations: Madison, WI and Waterloo, Ontario Canada P layStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions. Responsibilities: Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas. Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment Debug and analyze test failures, model anomalies and report defects Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy Develop and implement best practices for test automation that is highly scalable and maintainable Monitor test execution and optimize performance in test environments Come up with innovative solutions to organizational problems Required Qualifications: A Bachelor's degree in Computer Science or related field Minimum 5 years of experience as an SDET, with strong experience testing backend systems. Proficiency in Python/Java/Scala/go for test automation. Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases  for backend validation. Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.) Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health Strong understanding of software development lifecycle (SDLC) and agile methodologies. Excellent problem-solving skills and excellent communication skills. Preferred Qualifications: Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems. Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors. Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions. Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus. Experience with performance and load testing tools Experience with Databricks or similar ML platform tooling Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms. 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. $152,000 — $190,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (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.