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Location: Remote in EMEA Location: This is a 100% remote role open to those who reside in the US, UK, or EMEA region. About the job Testlio's fully managed crowdsourced testing platform, powered by our proprietary intelligence technology - LeoCore™, integrates expert, on-demand testers directly into your release process. Ship faster and more confidently with global coverage across 600,000+ devices, 800+ payment methods, 150+ countries, and 100+ languages. To learn more, visit testlio.com . We are hiring a Principal Architect to serve as a hands-on individual contributor who will shape our application and platform architecture, driving production-ready systems that directly enable our next generation of intelligent, distributed software testing solutions. Why will you love this job? High Ownership and Autonomy: Be a foundational technical leader steering a profound platform transformation, making critical structural decisions that balance immediate system delivery with long-term enterprise scalability. Pragmatic AI & System Innovation: Step past the hype to integrate actionable AI capabilities directly into high-throughput surfaces, modernizing our core monolith into a robust distributed network alongside our product and executive leaders. Why you will love being a part of Testlio? Great Culture : Testlio is a female-founded company, and half of our team identifies as women. We’re proud of our inclusive, purpose-driven culture where people genuinely enjoy collaborating. As part of our team (we call ourselves TestLions), you’ll help create exceptional digital experiences for our customers, while also contributing to our freelance network. Remote Work : Our culture is built around remote work. We’ve created systems to allow us to successfully work together asynchronously as a fully remote and globally distributed team . Testlio provides the tools and guidance for everyone to succeed in their careers in a fully remote setting. Our working style encourages everyone to make decisions, communicate effectively, and work at a sustainable pace. Investment in You : Your growth and well-being matter to us. You’ll have flexible paid time off—including national holidays, personal days, and sick days—plus stock options so you can grow with Testlio. We also provide a $300 annual learning stipend to support your personal and professional development. Winning Business : Testlio is growing, profitable, and cash-strong. We are leading our industry with exceptional clients who provide us with a high NPS score and a 4.7 rating on G2. Our business model is global, enterprise, and subscription-based. Several of our largest clients have been with us for 7+ years, and many spend $500K+/year with Testlio. What would your day look like? Architect, develop, and deploy scalable, production-grade services directly across the core Testlio software platform. Author clear architectural standards and reference patterns that define domain boundaries, decoupling our current codebase into modular services. Partner with the Director of Engineering to execute frontend framework consolidation, improving operational performance and observability. Safeguard system efficiency and regulatory posture by designing with security, cost-efficiency, and ISO 27001 expectations at the center. Integrate secure AI/LLM patterns into customer-facing surfaces, establishing strict operational guardrails and failure modes for our Quality API. Advise executive, product, and engineering teams on major technical tradeoffs, translating business needs into clean technical strategies. What do you need to succeed? Technical Skills 15+ years of hands-on software development experience building cloud-native, business-critical platforms. Advanced mastery of distributed system patterns, data modeling, event-driven design, and database technologies (Relational and NoSQL). Proven track record designing and migrating application infrastructures, specifically moving from monolithic architectures to modular services. Deep experience establishing enterprise-ready patterns in AWS, emphasizing high availability, cost optimization, and secure infrastructure. Strong familiarity with modern full-stack code environments, including front-end web frameworks, scripting languages, and CI/CD pipelines. Practical, production-grade experience deploying AI/ML or LLM-based solutions with an emphasis on observable, safe automation patterns. Human Skills Fluency in English with exceptional written and verbal communication skills, especially when presenting advanced architecture concepts to business leaders. Ability to operate effectively as an individual contributor in fast-paced, ambiguous environments, showing proactive problem ownership. Strong collaboration and alignment focus, capable of guiding distributed engineering teams and technical peers without direct authority. Outstanding analytical thinking, balancing a broad long-term technology vision with practical, short-term implementation constraints. Natural inclination for remote-first work, successfully communicating and documenting technical decisions asynchronously across global time zones. What is the application process? At Testlio, we aim to hire individuals who are excited about their role, thrive in a fully remote environment, and have strong long-term potential with our team. Because we are a fully distributed company, our interview process includes conversations with several team members so you can get a well-rounded understanding of the role, the people you’ll work with, and how we collaborate. As a result, our interview process typically takes 3–4 weeks to complete. Interview Process: Application Recruiter interview Stakeholder Interview Technical Exercise Offer & background check Diversity and Inclusion Testlio is an equal-opportunity employer deeply committed to creating an inclusive environment for people of all backgrounds and identities. We are female-founded, and half of our team members identify as women. For more information, see the DEI section of our website.

Location: Remote in AMER Location: This is a 100% remote role open to those who reside in the US, UK, or EMEA region. About the job Testlio's fully managed crowdsourced testing platform, powered by our proprietary intelligence technology - LeoCore™, integrates expert, on-demand testers directly into your release process. Ship faster and more confidently with global coverage across 600,000+ devices, 800+ payment methods, 150+ countries, and 100+ languages. To learn more, visit testlio.com . We are hiring a Principal Architect to serve as a hands-on individual contributor who will shape our application and platform architecture, driving production-ready systems that directly enable our next generation of intelligent, distributed software testing solutions. Why will you love this job? High Ownership and Autonomy: Be a foundational technical leader steering a profound platform transformation, making critical structural decisions that balance immediate system delivery with long-term enterprise scalability. Pragmatic AI & System Innovation: Step past the hype to integrate actionable AI capabilities directly into high-throughput surfaces, modernizing our core monolith into a robust distributed network alongside our product and executive leaders. Why you will love being a part of Testlio? Great Culture : Testlio is a female-founded company, and half of our team identifies as women. We’re proud of our inclusive, purpose-driven culture where people genuinely enjoy collaborating. As part of our team (we call ourselves TestLions), you’ll help create exceptional digital experiences for our customers, while also contributing to our freelance network. Remote Work : Our culture is built around remote work. We’ve created systems to allow us to successfully work together asynchronously as a fully remote and globally distributed team . Testlio provides the tools and guidance for everyone to succeed in their careers in a fully remote setting. Our working style encourages everyone to make decisions, communicate effectively, and work at a sustainable pace. Investment in You : Your growth and well-being matter to us. You’ll have flexible paid time off—including national holidays, personal days, and sick days—plus stock options so you can grow with Testlio. We also provide a $300 annual learning stipend to support your personal and professional development. Winning Business : Testlio is growing, profitable, and cash-strong. We are leading our industry with exceptional clients who provide us with a high NPS score and a 4.7 rating on G2. Our business model is global, enterprise, and subscription-based. Several of our largest clients have been with us for 7+ years, and many spend $500K+/year with Testlio. What would your day look like? Architect, develop, and deploy scalable, production-grade services directly across the core Testlio software platform. Author clear architectural standards and reference patterns that define domain boundaries, decoupling our current codebase into modular services. Partner with the Director of Engineering to execute frontend framework consolidation, improving operational performance and observability. Safeguard system efficiency and regulatory posture by designing with security, cost-efficiency, and ISO 27001 expectations at the center. Integrate secure AI/LLM patterns into customer-facing surfaces, establishing strict operational guardrails and failure modes for our Quality API. Advise executive, product, and engineering teams on major technical tradeoffs, translating business needs into clean technical strategies. What do you need to succeed? Technical Skills 15+ years of hands-on software development experience building cloud-native, business-critical platforms. Advanced mastery of distributed system patterns, data modeling, event-driven design, and database technologies (Relational and NoSQL). Proven track record designing and migrating application infrastructures, specifically moving from monolithic architectures to modular services. Deep experience establishing enterprise-ready patterns in AWS, emphasizing high availability, cost optimization, and secure infrastructure. Strong familiarity with modern full-stack code environments, including front-end web frameworks, scripting languages, and CI/CD pipelines. Practical, production-grade experience deploying AI/ML or LLM-based solutions with an emphasis on observable, safe automation patterns. Human Skills Fluency in English with exceptional written and verbal communication skills, especially when presenting advanced architecture concepts to business leaders. Ability to operate effectively as an individual contributor in fast-paced, ambiguous environments, showing proactive problem ownership. Strong collaboration and alignment focus, capable of guiding distributed engineering teams and technical peers without direct authority. Outstanding analytical thinking, balancing a broad long-term technology vision with practical, short-term implementation constraints. Natural inclination for remote-first work, successfully communicating and documenting technical decisions asynchronously across global time zones. What is the application process? At Testlio, we aim to hire individuals who are excited about their role, thrive in a fully remote environment, and have strong long-term potential with our team. Because we are a fully distributed company, our interview process includes conversations with several team members so you can get a well-rounded understanding of the role, the people you’ll work with, and how we collaborate. As a result, our interview process typically takes 3–4 weeks to complete. Interview Process: Application Recruiter interview Stakeholder Interview Technical Exercise Offer & background check Diversity and Inclusion Testlio is an equal-opportunity employer deeply committed to creating an inclusive environment for people of all backgrounds and identities. We are female-founded, and half of our team members identify as women. For more information, see the DEI section of our website.

Location: New York City, NY 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 the leader of our Enterprise Asset & Wealth Management sales organization, you will build and lead a team that brings transformational AI to the world's leading asset managers, wealth managers, and private markets firms. These are organizations rethinking how they generate investment insight, serve clients and advisors, scale personalization, and meet fiduciary and regulatory obligations. They are looking for a partner they trust to take frontier AI from promising pilots into production at the core of their business. You will own a broad portfolio of major AWM institutions at very different stages of AI adoption, from firms already running Claude in production to those just beginning their journey. Your coverage will span global and regional asset managers, alternatives managers, and wealth businesses. You will lead Account Executives, design the coverage and territory model, and build the repeatable, AWM-specific plays that turn early wins into durable, scaled adoption across research, portfolio and client operations, advisor productivity, and compliance and supervision. The selling is technical and multi-stakeholder: platform decisions, model governance, security and procurement rigor, and solutions built on Claude through our API, Claude for Enterprise, Claude Code, and partner cloud platforms. You will shape strategy and operating rhythm while staying personally engaged with executives on the pursuits that matter most. This is a rare opportunity to build an organization, not just run a number: to shape how the asset and wealth management industry adopts frontier AI, and to do it at a company where safety, trust, and long-term customer outcomes are central to how we sell. Key responsibilities Define AWM go-to-market strategy and coverage design, including segmentation across asset managers, alternatives managers, and wealth platforms, territories, account prioritization, and vertical value propositions, and evolve the coverage model as the business scales Recruit, coach, and retain Enterprise Account Executives with deep asset and wealth management and platform-selling expertise; develop leadership talent and create career paths that keep top performers growing Codify the use cases, proof points, reference stories, and sales motions that make wins repeatable across AWM, such as investment research and idea generation, portfolio and client reporting, RFP and due diligence automation, advisor productivity and client personalization, and compliance and supervision workflows, partnering with Marketing, Enablement, and partner teams to scale them Engage personally with C-level and business-line executives (CEOs, CIOs, COOs, Chief Data and AI Officers, Heads of Distribution, and Heads of Wealth) on priority pursuits, building business cases and value narratives and navigating complex procurement, security, model-risk, and legal processes through to production deployment and expansion Own the organization's revenue targets and operating rhythm, instilling pipeline-generation discipline and running forecasting, deal inspection, and account planning cadences that make performance predictable and coachable across a high-volume book of business Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate AWM needs, including fiduciary, books-and-records, and client-data requirements, into product and roadmap input Orchestrate cross-functional and partner motions with Customer Success, Marketing, Partnerships, Legal, cloud partners, and the data and technology providers that AWM firms rely on, to deliver a seamless customer experience, and represent Anthropic with customers and at industry events as a visible, trusted leader Minimum qualifications Experience leading enterprise sales teams that sell technical, complex products such as API-first platforms, cloud infrastructure, or data and machine learning platforms A track record of winning and growing enterprise customers, including building C-suite relationships, in asset and wealth management (asset managers, alternatives managers, private banks, wealth platforms, or the technology and data providers that serve them) Experience designing go-to-market coverage for an enterprise sales team, including segmentation, territories, and account prioritization Operational rigor across both a high-volume pipeline and complex, multi-stakeholder sales cycles, balancing velocity with deal quality and forecasting accurately in fast-changing environments Credibility with technical buyers and builders, and with investment and distribution leaders: CIOs, CTOs, CDOs, Heads of AI/ML, Heads of Research, and Heads of Wealth or Distribution, plus experience pairing effectively with solutions architects and applied AI teams Strong coaching skills that raise team performance through deal coaching and account strategy, combined with personal effectiveness alongside executives on high-priority opportunities A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications Experience leading other sales leaders (second-line management), or demonstrated readiness to step into that scope Experience building or meaningfully scaling a verticalized or multi-segment sales organization Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large asset managers, wealth managers, or private markets firms Familiarity with AWM use cases and buyers, such as investment research and portfolio analytics, client reporting and RFP automation, advisor and relationship-manager productivity, and fund operations and servicing Deep familiarity with regulated-industry selling in AWM, including fiduciary and suitability obligations, SEC and FINRA expectations on supervision and books and records, model-risk management, client-data privacy, security review, and the governance expectations of financial institutions Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators, as well as the data, analytics, and portfolio-technology vendors embedded in AWM firms Familiarity with consumption- or usage-based commercial models and value-based pricing conversations Experience leading organizations through rapid growth, re-segmentation, or significant change The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $450,000 — $700,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Amsterdam, Netherlands; Hyderabad, India 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 The Payroll Systems Specialist delivers and improves the systems that support global payroll. The role coordinates new-country implementations and internal payroll and T&A system migrations, develops integrations and automation, and supports the selection and deployment of technological solutions supporting the team. It connects Payroll, People systems, Finance and Technology partners. Key Responsibilities Support p lan ning and deliver ing payroll-system implementations for new countries and migrations for existing payrolls. Translate payroll and compliance requirements into configuration, data mappings, workflows and control requirements. Coordinate data preparation, validation, user acceptance testing, cutover and post-launch stabili s ation . Design and maintain integrations between payroll, HR and Finance teams/systems using secure files, APIs or middleware. Manage system defects, vendor escalations, release impacts and the prioriti s ed payroll-systems roadmap. Maintain data-quality checks, access controls, change documentation and evidence needed for audit-ready processes. Identify and deliver automation opportunities that reduce manual work, improve control and make payroll operations more scalable. Support the assessment and deployment of third-party systems , including requirements, testing and operational handover. Create system documentation and training materials for users. Leverage existing systems, tools and AI to develop independent process workflows. Key Qualifications & Experience Must-have requirements: 5 or more years of experience in payroll systems, payroll technology or payroll implementation work. Strong understanding of end-to-end payroll processes and the data needed for multi-country payroll. Experience with requirements, configuration, data migration, testing, cutover and post-launch support. Working knowledge of system integrations, including APIs, secure file interfaces and data mapping. Ability to manage multiple workstreams, vendors, dependencies and delivery deadlines. Strong analytical and spreadsheet skills, with careful handling of sensitive employee data. Clear communication with payroll specialists, People teams, Finance, engineers and external providers. Preferred qualifications: Hands-on experience with payroll system implementations or migrations . Experience with HRIS and ERP integrations, payroll accounting interfaces or identity and access controls. Basic SQL, API troubleshooting or low-code automation experience. Competencies & Behavioural Traits Structured delivery with clear ownership of requirements, decisions and open issues. Curiosity about how payroll processes and system behaviour interact. Practical problem solving and early escalation of delivery or control risks. Careful testing and documentation before production changes. Collaborative communication across operational and technical teams. 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: United States We are looking for a high-impact Staff or Principal Software Engineer to drive the architecture, reliability, and scaling of our managed cloud offering, SingleStore Helios . In this role, you will lead the evolution of our multi-cloud SaaS control and data planes, manage high-density Kubernetes deployments across major hyperscalers, and partner directly with our AI Platform initiatives. As a senior technical leader, you will balance greenfield architecture with hands-on systems programming and operational resilience. You will also allocate approximately 10–20% of your bandwidth toward high-priority Tier-3 operational escalations, identifying root causes in production distributed systems to inform durable platform architecture. What You’ll Do Architect Distributed SaaS Infrastructure: Design, implement, and scale multi-tenant Kubernetes operators, custom controllers, and orchestration workflows managing thousands of customer database clusters globally. Write Resilient Systems Code: Develop performant, fault-tolerant backend services and control planes using modern Go language & Python. Lead Cloud Networking Design: Own cross-cloud networking topology, ingress/egress controls, multi-region routing, VPC peering/PrivateLink topologies, DNS architectures, and service mesh performance (Envoy, Cilium, or Istio) across AWS, Azure, and GCP. Support AI Platform Capabilities: Collaborate across business units to build scalable compute, vector indexing pipelines, and ingestion infrastructure supporting real-time GenAI and vector workloads on Helios. Production Operations & Tier-3 Escalations: Dedicate 10–20% of your bandwidth to diagnosing complex production issues, acting as the final escalation point for deep infrastructure failures, performance bottlenecks, and kernel/networking anomalies. Security & Compliance by Design: Build infrastructure that upholds our strict enterprise compliance posture, maintaining automated controls for SOC 2 Type II, ISO 27001 , HIPAA, and PCI-DSS environments. Technical Force Multiplier: Author clear RFCs/architectural design records (ADRs), mentor senior engineers, lead cross-functional reviews, and partner with Product and SRE teams to align roadmap priorities. What We’re Looking For 8–12+ years of professional software engineering experience designing, deploying, and operating distributed enterprise SaaS platforms at scale. Deep Kubernetes Expertise: Hands-on mastery of Kubernetes internals, CRDs, custom controller development (client-go/controller-runtime), scheduling dynamics, and container networking/runtime internals. Strong OO / Systems Proficiency: Expert proficiency in Go and Python with an emphasis on concurrent programming, low-latency I/O, and distributed state management. Cloud Provider Networking: Deep operational literacy in cloud networking constructs (e.g., Transit Gateways, DirectConnect/ExpressRoute, Private Service Connect, CIDR subnetting, MTLS, and load balancing). AI Platform Awareness: Practical familiarity with the compute, caching, and storage dynamics needed for real-time AI/ML pipelines, retrieval-augmented generation (RAG), and vector embeddings. Diagnostic Acumen: Proven ability to debug complex, non-deterministic bugs in production across network layers, memory allocations, and distributed consensus. Communication & Collaboration: Outstanding written and oral communication skills, with a track record of driving cross-team alignment and influencing executive-level technical strategy. Preferred Qualifications Prior experience building managed database-as-a-service (DBaaS) or data-intensive streaming infrastructure. Active open-source contributions within the CNCF or cloud-native container ecosystem. Familiarity with Infrastructure-as-Code tooling (Terraform, Pulumi, Crossplane). SingleStore delivers our cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people. To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. For candidates residing in California, please see our California Recruitment Privacy Notice . For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice. SingleStore’s total salary range for this role, if based in Boston, Chicago, New York, Austin, Phoenix, Las Vegas, Seattle, Washington, or Dallas is: $140,000 - $215,000 USD per year Req ID: ENG00570

Location: Lappeenranta, Finland 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 We are looking for a Lead Warehouse Logistics Specialist to oversee and coordinate all warehouse and logistics operations for data center hardware. This role ensures that inbound/outbound shipments, inventory accuracy, and equipment provisioning meet operational standards. This position implies full accountability for the logistics function, people management, cross-department coordination, and risk management, as well as developing long-term improvements to support business growth. Your responsibilities will include: 1. Warehouse & Shipment Management Ensure timely and accurate processing of inbound and outbound shipments. Establish and maintain SOPs for shipping and material handling. Oversee packaging standards for equipment. Handle escalations with warehouse operations. Identify bottlenecks and optimize warehouse workflows. Identify opportunities for process and tools improvement. 2. Inventory & Asset Control Lead cyclical and annual inventory checks across all warehouse and external storage locations. Guarantee data accuracy in the inventory system (ERP, WMS). Assets creation process supervision. Analyze inventory discrepancies and implement preventive measures. 3. Team Management Lead and mentor a logistics team. Distribute tasks, monitor performance, and conduct onboarding process. Act as escalation point for operational and staffing issues. Resource mangement (internal + outsource) 4. Stakeholder Communication Act as primary logistics contact for data center engineers, project managers, and procurement teams. Manage relationships with relevant partners. 5. Risk Management Assess and mitigate risks related to logistics operations, including equipment damage, delays and theft. Establish safety protocols in handling heavy, fragile equipment. Perform root-cause analysis of logistics incidents and implement corrective actions. Coordinate with data center operations and security teams to align risk management practices. We expect you to have: 5+ years in warehouse/logistics operations, preferably in IT hardware or data centers. Proven leadership experience (managing people and processes). Strong knowledge of shipping standards and inventory systems. Analytical mindset with ability to drive continuous improvement. Excellent communication and stakeholder management skills. Fluency in spoken English and Finnish. 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.

• Формирование долгосрочной стратегии развития прогнозирования спроса на горизонте 3–5 лет с фокусом на автоматизацию процессов. • Развитие сквозных процессов прогнозирования во взаимодействии с закупками, логистикой, операционными и коммерческими подразделениями.

Location: Romania; Serbia; Poland Job Overview The Technical Project Manager will be responsible for end-to-end delivery of technology projects , working closely with Engineering, Product, DevOps, Infrastructure, QA, Security and business stakeholders. The ideal candidate should have strong technical understanding and be able to challenge estimates, identify dependencies, manage risks, drive engineering teams and communicate effectively with senior stakeholders. Key Responsibilities Project & Delivery Management Own end-to-end delivery across multiple technical projects and workstreams. Define project scope, milestones, deliverables, timelines and success criteria. Create and maintain detailed project plans, delivery roadmaps and release plans. Track progress against commitments and proactively manage delays. Drive projects from requirements through development, UAT, deployment and production stabilization. Ensure clear ownership and accountability across teams. Technical Project Management Work closely with Engineering, Architecture, DevOps, Infrastructure, QA and Security teams. Understand technical requirements, architecture, APIs, integrations, databases, cloud infrastructure and deployment processes. Review estimates and challenge assumptions where required. Identify technical dependencies, risks and resource constraints early. Coordinate resolution of technical blockers and cross-team dependencies. Ensure technical decisions and requirements are properly documented. Agile & Governance Drive Sprint Planning, backlog refinement, daily tracking, sprint reviews and retrospectives. Maintain project dashboards and delivery metrics. Ensure accurate capacity planning and resource allocation. Establish effective governance without creating unnecessary process overhead. Maintain RAID logs, action trackers and decision logs. Stakeholder Management Act as the primary delivery interface between engineering teams, product/business stakeholders and leadership. Provide clear and fact-based project status reporting. Escalate risks and issues early with recommended actions. Manage expectations around scope, timelines, resources and priorities. Conduct regular stakeholder reviews and project governance meetings. Resource Management Plan resources based on actual capacity and project requirements. Identify resource gaps and provide data-backed recommendations. Optimize utilization of existing engineering resources before requesting additional headcount. Coordinate cross-functional teams across India and international locations. Quality, UAT & Release Management Establish UAT plans, acceptance criteria and release readiness. Track defects and ensure timely resolution of critical issues. Coordinate release and deployment activities with DevOps/Infrastructure teams. Ensure production readiness and post-release stabilization. Technical Exposure Candidates should have working knowledge of several of the following: Web applications and SaaS platforms Frontend / Backend architecture APIs and third-party integrations Microservices Databases and data platforms Cloud platforms — AWS / Azure / GCP DevOps and CI/CD Docker / Kubernetes Identity & Access Management Security and authentication AI/ML platforms and infrastructure Monitoring, logging and observability Performance and scalability QA automation and testing frameworks Required Skills 8–12+ years of experience in technology/project/program delivery. Strong experience managing software engineering projects. Experience managing Frontend, Backend, QA, DevOps and Infrastructure teams . Strong understanding of Agile/Scrum methodologies. Proven experience managing multiple concurrent projects. Strong planning, estimation and dependency-management skills. Excellent stakeholder and communication skills. Experience working with distributed/global teams. Strong problem-solving and escalation-management capability. Experience with Jira, Tempo, Confluence or similar project management tools. Ability to manage delivery based on capacity, priorities and measurable outcomes . Preferred PMP / PRINCE2 / Scrum certification. Experience with SaaS / B2B technology platforms. Experience in Ecommerce, cloud, AI, data projects. Experience managing teams of 20+ engineers across multiple disciplines .

Location: Gurgaon, India Job Overview The Technical Project Manager will be responsible for end-to-end delivery of technology projects , working closely with Engineering, Product, DevOps, Infrastructure, QA, Security and business stakeholders. The ideal candidate should have strong technical understanding and be able to challenge estimates, identify dependencies, manage risks, drive engineering teams and communicate effectively with senior stakeholders. Key Responsibilities Project & Delivery Management Own end-to-end delivery across multiple technical projects and workstreams. Define project scope, milestones, deliverables, timelines and success criteria. Create and maintain detailed project plans, delivery roadmaps and release plans. Track progress against commitments and proactively manage delays. Drive projects from requirements through development, UAT, deployment and production stabilization. Ensure clear ownership and accountability across teams. Technical Project Management Work closely with Engineering, Architecture, DevOps, Infrastructure, QA and Security teams. Understand technical requirements, architecture, APIs, integrations, databases, cloud infrastructure and deployment processes. Review estimates and challenge assumptions where required. Identify technical dependencies, risks and resource constraints early. Coordinate resolution of technical blockers and cross-team dependencies. Ensure technical decisions and requirements are properly documented. Agile & Governance Drive Sprint Planning, backlog refinement, daily tracking, sprint reviews and retrospectives. Maintain project dashboards and delivery metrics. Ensure accurate capacity planning and resource allocation. Establish effective governance without creating unnecessary process overhead. Maintain RAID logs, action trackers and decision logs. Stakeholder Management Act as the primary delivery interface between engineering teams, product/business stakeholders and leadership. Provide clear and fact-based project status reporting. Escalate risks and issues early with recommended actions. Manage expectations around scope, timelines, resources and priorities. Conduct regular stakeholder reviews and project governance meetings. Resource Management Plan resources based on actual capacity and project requirements. Identify resource gaps and provide data-backed recommendations. Optimize utilization of existing engineering resources before requesting additional headcount. Coordinate cross-functional teams across India and international locations. Quality, UAT & Release Management Establish UAT plans, acceptance criteria and release readiness. Track defects and ensure timely resolution of critical issues. Coordinate release and deployment activities with DevOps/Infrastructure teams. Ensure production readiness and post-release stabilization. Technical Exposure Candidates should have working knowledge of several of the following: Web applications and SaaS platforms Frontend / Backend architecture APIs and third-party integrations Microservices Databases and data platforms Cloud platforms — AWS / Azure / GCP DevOps and CI/CD Docker / Kubernetes Identity & Access Management Security and authentication AI/ML platforms and infrastructure Monitoring, logging and observability Performance and scalability QA automation and testing frameworks Required Skills 8–12+ years of experience in technology/project/program delivery. Strong experience managing software engineering projects. Experience managing Frontend, Backend, QA, DevOps and Infrastructure teams . Strong understanding of Agile/Scrum methodologies. Proven experience managing multiple concurrent projects. Strong planning, estimation and dependency-management skills. Excellent stakeholder and communication skills. Experience working with distributed/global teams. Strong problem-solving and escalation-management capability. Experience with Jira, Tempo, Confluence or similar project management tools. Ability to manage delivery based on capacity, priorities and measurable outcomes . Preferred PMP / PRINCE2 / Scrum certification. Experience with SaaS / B2B technology platforms. Experience in Ecommerce, cloud, AI, data projects. Experience managing teams of 20+ engineers across multiple disciplines .

Location: New York ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability and performance of our platform and customer facing applications. You will work closely with our software engineers and research teams to ensure our systems meet and exceed our internal and external customers' expectations.     What You Will Do As a Site Reliability Engineer, you balance the day-to-day operations on production systems with long-term software engineering improvements to reduce operational toil and foster the reliability, availability, and performance of these systems.   Operations • Design, build, and maintain scalable, highly available and fault-tolerant infrastructures to support our web services and ML workloads • Make sure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters • Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.) • Implement and improve monitoring, alerting, and incident response systems to ensure optimal system performance and minimize downtime • Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems) for both our client-facing APIs and large training runs • Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences   Development • Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform • Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model-training experiments • Build a cloud-agnostic platform offering an abstraction layer between science and infrastructure • Design and develop new workflows and tooling to improve to the reliability, availability and performance of our systems (automation scripts, refactoring, new API-based features, web apps, dashboards, etc.) • Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements • Document processes and procedures to ensure consistency and knowledge sharing across the team • Contribute to open-source projects, research publications, blog articles and conferences   What We're Looking For • Master’s degree in Computer Science, Engineering or a related field • 7+ years of experience in a DevOps/SRE role • Strong experience with cloud computing and highly available distributed systems • Exposure to site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...) • Experience working against reliability KPIs (observability, alerting, SLAs) • Hands-on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes...) • Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog...) • Familiarity with infrastructure-as-code tools like Terraform or CloudFormation • Proficiency in scripting languages (Python, Go, Bash...) and knowledge of software development best practices • Strong understanding of networking, security, and system administration concepts • Excellent problem-solving and communication skills • Self-motivated and able to work well in a fast-paced startup environment   Your application will be all the more interesting if you also have: • experience in an AI/ML environment • experience of high-performance computing (HPC) systems and workload managers (Slurm) • worked with modern AI-oriented solutions (Fluidstack, Coreweave, Vast...) WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote - Ontario, Canada (DNU) Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team. About the job We are actively recruiting for this role to fill an existing vacancy. This position is needed to build the foundational AI/ML capabilities and common platform tooling that power intelligent engagement experiences across Twilio. You will influence the design and evolution of our company-wide ML/AI Ops foundation, ensuring every AI capability incorporates rigorous offline and online evals to maintain exceptionally high quality. You will drive improvements to managing LLM workloads across the company, while ensuring easy and compliant access to data for AI/ML exploration and product development. This role requires a builder mindset to bridge theoretical research, production-grade experimentation, and scalable, enterprise-quality software. Responsibilities In this role, you’ll: Conduct deep-dive research into and implement state-of-the-art LLM inference and orchestration. Identify opportunities to leverage small language via fine-tuning/distillation. Build ML systems that hold up at Twilio scale. Set standards and tooling for building evals across a range of AI/ML capabilities. Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design. Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action. Proficiency in Python programming language. Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores. Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs. Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale. Strong communication skills and highly effective collaborator who works well with teammates. Familiarity with AI-assisted development tools (e.g., Claude, Codex, GitHub Copilot, Cursor, etc.). Desired: Prior experience building evals for autonomous agents and large language models. Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency. Prior experience working in a globally distributed team. Evidence of technical leadership/impact, such as contributions to open-source data/ML projects and/or published technical presentations, blog posts, papers, or research. Location This role will be remote and based in Ontario, British Columbia or Alberta, Canada. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows: $160,320 - $200,400 Target Bonus Percentage 12.5% The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Turkey Workplace: Remote fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: As a Sales Development Representative, you’ll play a key role in driving growth by identifying high-potential prospects, building meaningful relationships, and introducing businesses to the possibilities of generative AI across EMEA. You’ll use research-driven prospecting and personalized outreach across email, phone, and LinkedIn to engage decision-makers and technical stakeholders. Working closely with Sales and Marketing, you’ll help refine messaging, share market insights, and communicate Fal’s value proposition to prospects. This role is ideal for a proactive, curious, and results-driven individual who thrives in a fast-paced startup environment, enjoys learning about AI and developer tools, and is excited to help businesses discover how cutting-edge AI technology can transform their workflows and products. The ideal candidate is results-driven, curious about the evolving AI landscape, and thrives in a fast-paced startup. You’re confident initiating outreach, navigating nuanced product discussions, and showing prospects how generative AI can impact their business. Location: Istanbul, Turkey (remote, full-time contractor) Territory: Europe, Middle East & Africa   WHAT YOU’LL DO - Drive pipeline by prospecting into key accounts via email, calls, and LinkedIn - Craft personalized outreach to high-priority leads through research-driven targeting - Communicate Fal’s value proposition and act as a brand ambassador - Collaborate with Sales and Marketing to refine messaging based on market feedback - Stay informed on AI/ML trends to engage in relevant, technical conversations   QUALIFICATIONS/NICE TO HAVE: - 1–3 years of experience in a customer facing role, especially in fast-moving tech environments such as AI and SaaS - Track history or being able to engage with technical stakeholders - Excellent communication and interpersonal skills, you are always “on” - Know how to move fast and iterate - Familiarity with the latest CRM systems and sales engagement tools - Bonus: you’re familiar with AI, dev tools, or creative communities and love staying at the edge of what's possible   What we offer - Competitive cash compensation, paid in USD + Equity - Regular travel to customers across EMEA and to our San Francisco HQ, expenses covered - Team events and offsites - Interesting, challenging work with a lot of room to grow U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As Senior Director, Global Total Rewards, you’ll lead the strategy and delivery of compensation, equity, benefits, and related programs across a global technology organization. You’ll guide an approximately eight-person team, partner with senior leaders and cross-functional stakeholders, and help build scalable, equitable programs that support 1Password’s mission to make it safe for everyone to access the information they need. How we’re using AI today On the People team, we’re using AI intentionally and responsibly as part of how our work gets done. We’re building a shared foundation of AI confidence and capability with the belief that innovation happens best when we learn and experiment together. From drafting communications and synthesizing feedback to automating workflows across the employee lifecycle, we’re embedding AI into our day-to-day operations and the way we collaborate cross-functionally, helping us move quickly and create space for the human moments that matter most. This is a remote opportunity within Canada and the US. What we're looking for: • Extensive senior-level experience leading global Total Rewards programs, including compensation, equity, benefits, retirement, and executive compensation. • Experience guiding Total Rewards strategy and operations through significant organizational growth, evolving governance requirements, or preparation for an initial public offering (IPO) and public-company operations. • Strong experience advising executives, Compensation Committees, and Boards, with the ability to translate complex analysis into clear recommendations and decisions. • Deep knowledge of equity strategy and governance, including equity ranges, grant programs, refresh programs, share-pool planning, dilution forecasting, and compensation governance. • Experience building or evolving job architecture, career levels, pay bands, geographic frameworks, and pay equity practices across multiple markets. • Experience leading or sponsoring large-scale human resources information systems (HRIS), payroll, compensation technology, or enterprise program implementations, including data migration, integrations, testing, controls, and adoption. • Experience using artificial intelligence (AI), automation, analytics, or scenario modeling to improve Total Rewards insights, scalability, controls, and employee experience. What you can expect: • Lead a global Total Rewards strategy that supports business priorities and attracts, rewards, and retains talent across technology, cybersecurity, and other critical areas. • Lead, coach, and develop a global team while fostering clear communication, effective collaboration, accountability, and thoughtful change management. • Strengthen governance, controls, documentation, data integrity, and operating practices to support scalable and compliant Total Rewards programs. • Define the future Total Rewards technology and data ecosystem, including optimization of platforms such as Pave and responsible use of AI, automation, analytics, and self-service capabilities. • Partner with executive leadership, Finance, Legal, and external advisors on executive compensation strategy, market analysis, incentive design, and Compensation Committee materials. • Oversee equity strategy, global compensation programs, job architecture, career levels, geographic differentials, pay structures, and pay equity initiatives. • Set the strategic direction for global benefits, retirement, leave, accommodations, and wellbeing programs while supporting international expansion, acquisitions, audits, regulatory requirements, and operational improvements. USA-based roles only: The annual base salary for this role is between $230,000 USD and $345,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $191,000 CAD and $287,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:   🏝 Generous PTO policy - accrue 2.08 days per month 💖 Company-wide wellness days (1 per quarter) 🌎 Employee-led inclusion and belonging programs and ERGs 🏠 Remote-first environment 🏆 Peer-to-peer recognition through Bonusly You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: London, United Kingdom Workplace: hybrid The Commercial Lead will own the sales pipeline and revenue, driving outbound sales and managing complex B2B deals with AI and data companies, from qualification and pilots to recurring contracts. The role also includes developing strategic partnerships and channels, shaping pricing and commercial terms, and bringing customer demand and market insights back to product and operations. Key Responsibilities Own the pipeline and the number Build and run outbound to AI labs, applied AI companies, and data vendors who need collection capacity they don't have in-house. Qualify hard and early: match buyer requirements against what our network can realistically deliver, and walk away from deals that don't fit. Run complex, technical deals Sell to technical buyers - data leads, research managers, ML and data ops teams - in long, spec-heavy, consultative cycles. Collect buyer requirements (languages, demographics, modality, annotation depth, licensing scope), push back when a spec isn't deliverable. Manage pilots and convert them into recurring volume. Shape pricing and commercial framework Own our price book across modalities (per audio hour, per image, per video hour, per annotated unit) and defend margin against buyer pressure and vendor benchmarks. Alongside with the business unit leader work with legal, privacy and tax on DPAs, consent frameworks,contracts across multiple jurisdictions. Build the channel Develop partnerships with data vendors and platforms who can route demand to us where we have coverage they lack. Represent DataTasks at the venues where this market actually buys - research conferences, data and AI events, and buyer-side procurement teams. Feed the roadmap Bring structured demand signal back into product and operations Qualifications Must have Experience in B2B sales, business or commercial roles, with a track record of closing complex deals you personally sourced and ran. Direct experience in AI/ML data, data annotation and labelling services, data licensing, or a closely adjacent technical services market. Comfort selling to technical and research buyers. Genuine zero-to-one appetite. There is no inbound, no established brand in this market, and no playbook to inherit. Fluent English, written and spoken, at a level suitable for negotiating with US and EU counterparties. Nice to have An existing network among AI labs, data vendors, or enterprise AI teams. Experience operating in or selling data from emerging markets. Working knowledge of data protection regimes (GDPR, LGPD, and equivalents in our operating markets). Additional languages, particularly Spanish, Portuguese or Russian. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are looking for a Staff Product Manager to shape this product from an early stage and lead it through validation, launch and international scale. We are building a new product that enables people across inDrive’s global user base to earn additional income by completing tasks that generate high-quality training data for AI. Following a successful pilot, we are moving from a partner-led solution towards our own scalable platform. It will connect demand from AI companies with distributed data collection and labelling, covering the full journey from buyer requirements and task design to contributor payouts, quality assurance and dataset delivery. Key Responsibilities Own the end-to-end product strategy, roadmap and outcomes for the Data Tasks platform. Translate data buyer requirements into scalable collection, annotation and quality-control workflows. Design the full product journey across both sides of the platform: enterprise buyers and task contributors. Build capabilities for task creation and distribution, contributor onboarding, payouts, data submission, validation, labelling and dataset delivery. Define the right balance between building internal capabilities, using external platforms and working with specialised partners. Establish product metrics across demand, supply, data quality, unit economics and contributor experience. Run discovery and experiments to improve acquisition, activation, task completion, retention and payout experience. Work closely with Commercial, Engineering, Data, Operations, Legal, Privacy, Information Security and market teams. Ensure the platform can support multiple data types, including audio, text, images, video and multimodal data, across different countries and use cases. Skills, Knowledge and Expertise Significant product management experience, including ownership of complex products at Staff, Principal or equivalent level. Proven experience building and scaling a new product or platform from an early stage. Strong systems thinking and the ability to design end-to-end products involving multiple users, workflows and operational processes. Experience with B2B platforms, marketplaces, crowdsourcing, data products, AI/ML infrastructure or workflow products. Strong commercial judgement and the ability to connect customer needs, product decisions and unit economics. Ability to work with enterprise customers and translate technical or specialised requirements into scalable product solutions. Strong analytical skills and experience defining metrics, running experiments and making decisions under uncertainty. Ability to operate independently, bring clarity to ambiguity and influence senior stakeholders without relying on formal authority Fluent English and clear written and verbal communication skills. Nice to have Experience with AI training data, data collection, annotation, model evaluation or quality-assurance systems. Experience building two-sided marketplaces or products involving distributed contributor networks. Experience launching products across emerging markets and adapting them to local payment, legal and operational constraints. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 90 700 EUR gross. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid The Commercial Lead will own the sales pipeline and revenue, driving outbound sales and managing complex B2B deals with AI and data companies, from qualification and pilots to recurring contracts. The role also includes developing strategic partnerships and channels, shaping pricing and commercial terms, and bringing customer demand and market insights back to product and operations. Key Responsibilities Own the pipeline and the number Build and run outbound to AI labs, applied AI companies, and data vendors who need collection capacity they don't have in-house. Qualify hard and early: match buyer requirements against what our network can realistically deliver, and walk away from deals that don't fit. Run complex, technical deals Sell to technical buyers - data leads, research managers, ML and data ops teams - in long, spec-heavy, consultative cycles. Collect buyer requirements (languages, demographics, modality, annotation depth, licensing scope), push back when a spec isn't deliverable. Manage pilots and convert them into recurring volume. Shape pricing and commercial framework Own our price book across modalities (per audio hour, per image, per video hour, per annotated unit) and defend margin against buyer pressure and vendor benchmarks. Alongside with the business unit leader work with legal, privacy and tax on DPAs, consent frameworks,contracts across multiple jurisdictions. Build the channel Develop partnerships with data vendors and platforms who can route demand to us where we have coverage they lack. Represent DataTasks at the venues where this market actually buys - research conferences, data and AI events, and buyer-side procurement teams. Feed the roadmap Bring structured demand signal back into product and operations Qualifications Must have Experience in B2B sales, business or commercial roles, with a track record of closing complex deals you personally sourced and ran. Direct experience in AI/ML data, data annotation and labelling services, data licensing, or a closely adjacent technical services market. Comfort selling to technical and research buyers. Genuine zero-to-one appetite. There is no inbound, no established brand in this market, and no playbook to inherit. Fluent English, written and spoken, at a level suitable for negotiating with US and EU counterparties. Nice to have An existing network among AI labs, data vendors, or enterprise AI teams. Experience operating in or selling data from emerging markets. Working knowledge of data protection regimes (GDPR, LGPD, and equivalents in our operating markets). Additional languages, particularly Spanish, Portuguese or Russian. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from 75 600 EUR gross Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are looking for a Senior HR Technology (People & Talent Enablement) Manager to serve as a strategic bridge between Business, HR, IT teams, and external vendors within a global organization of 3,000+ employees. Key Responsibilities HR Systems Strategy & Leadership: Define and drive the HR technology strategy and roadmap, aligned with HR function objectives. Drive the analysis and selection of a new system(s) to consolidate the current scattered HR landscape. Ownership and Operational Excellence: Lead the scaling, optimization, and governance of current and new HR systems. Manage day-to-day operations, system performance, data integrity, and uptime across HR systems. Define and implement the optimal data integration landscape. Program & Change Management: Maintain a rolling 12-month project roadmap and visibility into a 24-month planning horizon. Lead change management and user training programs to drive adoption and ensure effective use of current and new HR systems. Own the end-to-end new HRIS implementation project, including business requirements gathering, solution design, quality assurance, UAT, and post-implementation support. Process Automation & Innovation: Support HR in design of new business processes leveraging the functionality and capabilities of the HR system(s). Identify and execute on opportunities to automate manual workflows and improve data accuracy and operational efficiency through RPA and AI/ML initiatives. Cross-Functional Partnership & Execution: Serve as the bridge between HR, corporate IT, IT Operations and engineering, ensuring business needs are translated into scalable, technology-enabled solutions. Governance & Compliance: Partner with Cybersecurity and other stakeholders to ensure data privacy, SOX compliance, and adherence to regulatory and reporting standards. Implement appropriate controls and risk management practices to support data integrity, confidentiality, and system reliability. Team & Project Ownership: HR Automation team (up to 7 FTEs) - full direct people management, including prioritization, planning, and performance oversight. Own the end-to-end new HRIS implementation project(s), including relationships with vendors and third parties. Skills, Knowledge and Expertise Experience leading multi-module HRIS implementations in complex, international environments (experience in at least 3 of areas: Core HR, Workforce Management, C&B, L&D, and Recruitment) Expertise in HR process optimization and data architecture, understanding of global HR workflows and best practices Strong familiarity with the modern HR tech ecosystem and trends (SaaS, integration layers, AI, and people analytics) Fluency in English required Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 102 100 EUR gross. Final benefits may vary depending on the location.

Location: Arlington, VA, United States Job Title Cyber Virtualization Engineer Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Arlington, VA Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description SITE 525 is seeking a highly skilled Cyber Virtualization Engineer to support the development and sustainment of advanced cyber training environments. This role involves hands-on engineering of secure, scalable, and AI-enabled virtual ranges that emulate realistic, adversarial network conditions across IT and OT domains. These environments are used for cyber mission rehearsals, red/blue/gray team operations, and full-spectrum cybersecurity exercises. Must be willing to travel up to 25%. Responsible for designing, deploying, and maintaining advanced virtualized training environments that replicate realistic, large-scale, and adversarial network conditions. This position focuses on engineering and integrating dynamic, hypervisor-driven platforms and virtualization technologies to support cyber mission rehearsals, red/blue/gray team operations, and full-spectrum training exercises. Key Duties Engineer and implement scalable virtualized environments leveraging hypervisors (KVM, VMware, Hyper-V), virtual machines, containers, and software-defined networking across hybrid, edge, and cloud infrastructures. Implement and manage virtualization stacks including private cloud platforms, hypervisor clusters, and orchestration frameworks for large-scale, multi-tenant environments. Develop automation and orchestration tooling for provisioning, snapshotting, and lifecycle management of virtualized assets using Infrastructure-as-Code and CI/CD pipelines. Integrate advanced traffic simulation capabilities (burst, steady-state, geo-distributed, AI/ML-driven) to emulate realistic user and system behaviors within virtual ranges. Build and maintain frameworks and tooling for user and NPC emulation across virtualized environments to enhance operational realism, including threat emulation and defensive toolsets for network monitoring, incident detection, and response. Implement observability pipelines for performance monitoring, traffic replay, autoscaling validation, and centralized logging in production-grade virtual infrastructures. Administer and secure hypervisor platforms and virtual networking components, ensuring isolation, resiliency, and compliance for mission-critical environments. Manage network and server infrastructure including Active Directory, identity management systems, and virtualized security controls. Integrate third-party virtualization and orchestration tools to improve fidelity and scalability of training environments. Support exercise operations including setup, execution, troubleshooting, and real-time scenario management for White Cell operations. Collaborate with technical working groups and stakeholders to validate and enhance virtualization strategies for cyber training environments. Apply knowledge of OT systems (SCADA, ICS, PLCs, IoT/IIoT) within virtualized contexts for realistic emulation. Relevant Technologies & Tools: Virtualization & Hypervisors: VMware ESXi/vSphere, KVM/QEMU, Microsoft Hyper-V, Proxmox, OpenStack Virtual Infrastructure Management: VM lifecycle management, snapshotting, cloning, orchestration frameworks Cloud & Containerization: Private cloud platforms, AWS, Azure, Kubernetes (K8s), Docker, Podman, hybrid and edge deployments Networking & SDN: Virtual switches (vSwitch, vDS), software-defined networking, network segmentation, VPNs, dynamic Network-as-Code tools Automation & IaC: Infrastructure-as-Code (Terraform, Ansible, Packer, Helm, Nomad ), CI/CD integration for infrastructure Performance & Observability: Metrics collection, centralized logging, traffic replay, load simulation, autoscaling validation Security in Virtualized Environments: Identity management, Active Directory (GPOs, tiered admin scripts), secure isolation of virtual ranges Cyber Range Engineering: Virtualized cyber training environments, adversarial network simulation, AI/ML-driven traffic emulation Traffic Simulation & User Emulation: Lariat, CMU GHOSTS, MITRE Caldera, Red Canary, Atomic Red Team, TRex, BreakingPoint, Locust, k6, custom Python/TypeScript scripts, AI-enabled agents Compliance & Assurance: NIST 800-series, ISO 27001, FedRAMP, CUI-compliant controls Monitoring & Control Interfaces: Custom dashboards for exercise operations, centralized scenario orchestration Requirements Bachelor’s or Master’s degree in Cybersecurity, Computer Engineering, or related field. 5+ years of experience in cyber engineering, network operations, or cyber range development. Top Secret security clearance. Proficiency in virtualization, containerization, and cloud technologies. Experience with offensive and defensive cybersecurity tools and frameworks. Familiarity with AI/ML integration in cyber environments. Strong scripting and automation skills (e.g., Python, Bash, PowerShell). Experience with infrastructure-as-code tools (e.g., Terraform, Ansible). Knowledge of OT systems and protocols. Security certifications (e.g., CISSP, CEH, OSCP) are a plus. Compensation Competitive Hourly Pay Benefits Questions? Please reach out to lolney@idsinternational.com for additional questions or information.