Вакансии

Location: Morocco; Tunisia; France; Belgium; Canada About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients range from high-growth startups to established tech platforms across SaaS, MarTech, FinTech, and EdTech. Unlike traditional agencies, we place you directly into high-impact roles where your work drives real outcomes. About the company Our client is a premier engineering design services firm dedicated to helping high-tech organizations accelerate their product roadmaps. By providing scalable expertise and precision-driven development, the team turns complex technical visions into market-ready realities. They serve as a strategic partner for businesses looking to overcome engineering barriers and deliver revenue-generating features with quality and speed. The team fosters a collaborative and empowered work environment where integrity and outside-the-box thinking are highly valued. With a culture built on communication and accountability, the firm emphasizes a healthy work-life balance and provides flexible work options to ensure long-term employee satisfaction. Beyond their technical excellence, they are deeply committed to community impact and outreach. This is an ideal environment for passionate professionals who want to work on diverse, innovative projects while contributing to a supportive and mission-driven organization. Job Type: Full-time (Independent Contractor) Job Summary As this company undergoes a rapid scale-up phase, we are looking for a high-velocity Technical Recruiter to bridge the gap between complex engineering needs and top-tier talent. This is a critical role within an engineering services firm where speed, technical literacy, and persistence are the keys to success. You will be responsible for navigating the high-tech landscape to identify, engage, and place specialized experts who help our clients accelerate their product roadmaps. If you thrive in a fast-paced environment and have a "hunter" mentality for technical talent, this role offers the opportunity to be a cornerstone of our growth. Key Responsibilities Deep-dive into technical requirements to understand specific tech stacks, tools, and environments for diverse engineering roles. Drive high-volume sourcing and outreach, maintaining a KPI of at least 2 quality submissions per day. Execute rapid-response recruitment, ensuring given roles are fulfilled within a 48-hour window. Manage the full-cycle recruitment process within the ATS, from initial sourcing and screening to coordination and offer stages. Conduct structured, competency-based interviews to assess technical proficiency and cultural alignment. Execute aggressive outbound strategies including cold calling and LinkedIn outreach to engage passive candidates. Collaborate closely with hiring managers and technical teams to ensure perfect alignment on candidate profiles. Maintain meticulous documentation of interview outcomes and recruiter notes to ensure a seamless candidate experience. Requirements 3 to 5 years of experience in Technical Recruiting, specifically within IT, software, or engineering domains. Proven track record in a SaaS, Tech, or Consulting environment. Mastery of outbound sourcing techniques, including cold calling and advanced LinkedIn search. Professional fluency in English with excellent verbal and written communication skills. Ability to work a strict 9-5 schedule in the EST timezone. High proficiency with Microsoft Office Suite. Strong organizational skills with the ability to manage multiple open requisitions simultaneously under tight deadlines. Nice-to-Haves Proficiency in French (written and verbal). Experience using Loxo as an ATS. Direct experience in contract negotiation. Background or familiarity with the Telecommunications sector. Benefits 🌍 Fully remote role with flexible working environment 🚀 Work with high-growth international companies across tech sectors 📈 Clear progression path within a performance-driven team 🎯 High ownership and autonomy in your day-to-day work

Location: San Francisco, CA 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 The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for an Engineering Manager to lead our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms. This is a foundational role: you'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes analytics capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. As model capabilities and usage grow, you'll also drive how we scale review through automation — building systems where Claude meaningfully extends what human reviewers can do, while keeping people in the loop where their judgment matters most. You'll partner closely with policy, operations, data science, and legal teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities Lead, grow, and develop a team of engineers building investigation, review, and enforcement tooling for both first-party and third-party platform surfaces Define the vision and roadmap for our review tooling platform, including analytics, privacy-compatible data access primitives, and a sandbox for rapidly developing new review interfaces Drive the team's strategy for scaling review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems Ensure review tooling evolves alongside new privacy primitives and data retention commitments, so reviewers can do their work without compromising user trust Create clarity for the team and stakeholders in an ambiguous and evolving environment Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team Contribute to engineering-wide initiatives as a member of Anthropic's engineering management community Minimum qualifications Experience managing software engineering teams, including hiring, coaching, and developing engineers A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders Care about the societal impacts of AI and want your work to make powerful systems safer Preferred qualifications 4+ years of management experience, 10+ years of industry software engineering experience Experience building trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale Experience designing systems under strict privacy, compliance, or data governance constraints, such as zero data retention environments Experience integrating LLMs or agentic systems into operational workflows, or building human-in-the-loop automation Experience building developer platforms or extensible tooling frameworks that other teams build on top of Experience supporting enforcement or moderation systems across multiple product surfaces, including enterprise or cloud platform contexts 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: $405,000 — $485,000 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: Dallas, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: We’re seeking a Technical Project Manager to join our Data Centers team. You are a technically grounded and highly organized project manager with 3-5 years of experience driving complex initiatives across software development and cybersecurity domains. You thrive in fast-paced environments and know how to bridge the gap between technical teams and business stakeholders. You bring a natural ability to manage competing priorities without losing sight of the details. You are someone who builds trust quickly with both technical contributors and non-technical stakeholders, adapting communication style based on your audience. You must be proactive in nature by surfacing risks early, asking the right questions, and able to propose creative solutions to problems before they arise. What You’ll Do: Lead end-to-end project management for software development and cybersecurity initiatives, from requirements gathering and planning through execution, delivery, and post-implementation support. Facilitate Agile ceremonies, including sprint planning, backlog grooming, standups, retrospectives, and release planning, ensuring teams remain aligned on priorities and delivery commitments. Partner with software engineering and cybersecurity leaders to define project roadmaps, establish milestones and prioritization, and drive execution against strategic objectives. Coordinate the management of cybersecurity initiatives, including vulnerability remediation efforts, security tooling deployments, compliance-related projects, and risk reduction programs. Drive cross-functional dependency management between software, cybersecurity, infrastructure, operations, and vendor teams to ensure successful project outcomes. Develop and maintain project dashboards, metrics, and reporting to provide visibility into team performance, delivery progress, and key operational risks. Partner closely with Data Center leadership to provide regular updates on project status, timelines, priorities, dependencies, risks, and mitigation plans. Develop detailed project requirements, user stories, and documentation using Jira, Confluence, and other project management tools to ensure clear communication, alignment, and execution across stakeholders. Collaborate with construction, operations, and other Data Center departments to remove obstacles, align priorities, and ensure successful delivery of critical initiatives. Establish and maintain strong relationships with internal stakeholders, facilitating effective communication and coordination across multiple departments. Contribute to the development, standardization, and continuous improvement of PMO processes, templates, governance frameworks, and project management best practices. Identify opportunities to improve team efficiency, project delivery, tooling, processes, and cross-functional collaboration within the Data Center organization. Track project risks, dependencies, and resource constraints, proactively escalating issues and driving resolution to maintain project momentum and business objectives. What We’re Looking For: Bachelor’s degree. 3–5 years of experience in technical project or program management, preferably supporting software development, cybersecurity, infrastructure, or Data Center technology teams. Strong understanding of software development lifecycles (SDLC), Agile delivery methodologies, and technical project execution. Experience with project management or program management practices and methodologies (Scrum, Agile, Jira, Confluence, etc.). Experience managing software development projects and working directly with engineering teams. Familiarity with cybersecurity concepts, including vulnerability management, security controls, identity and access management, security operations, and compliance frameworks. Experience translating technical requirements into actionable project plans for both technical and non-technical stakeholders. Proven ability to manage cross-functional initiatives involving multiple teams, stakeholders, and competing priorities. Extremely organized and ability to keep others organized and on track. Excellent communication and interpersonal skills, with the ability to work effectively in a team environment. Strong analytical and problem-solving skills, with a detail-oriented mindset. Ability to manage multiple projects simultaneously and meet tight deadlines. Scrum Master certification is highly desirable. Bonus Points: Experience supporting cybersecurity programs or security engineering teams. Experience working in mission-critical environments such as data centers, cloud infrastructure, enterprise technology, or regulated industries. PMP, Certified ScrumMaster (CSM), PMI-ACP, or similar project management certification. Experience with reporting and visualization tools such as Jira dashboards. Ability to work in a fast-paced deadline-driven environment and multitask. Ability to work effectively in a team environment with good communication skills. Strong work ethic and great attention to detail. Self-starter with a strong desire to make processes more efficient. Advanced proficiency with Jira, Confluence, and project tracking/reporting tools. What We Offer (US): Competitive base salary, bonus, and equity compensation Flexible Time Off (i.e. unlimited paid vacation days) Company paid Holidays (11) Company paid sick leave Company-paid health and protective benefits for employees, partners, and other dependents 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Ginger Opportunities to learn about the Crypto industry Free daily snacks in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us as we grow the economy that runs on code. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Limassol; Nicosia; London; Athens; Fully Remote - in other eligible locations Workplace: hybrid The Role: We are looking for a passionate and experienced Data Steward to join our fast-growing team! The successful candidate will join a Data Governance team responsible for collaborating with our main IT stakeholders and the business data consumers to implement standard methodologies related to data cataloguing, data issues process, implementing data quality metrics and governance model plus establishing business rules and data requirements that align with each department’s goal. The main responsibilities of the position include: Be the eyes and ears for data-related matters within an organisation Engage with data champions and working groups across the organisation Implement standardised data process and guidelines to ensure they are being followed Drive consistent data accuracy, serve as an escalation point and resolve data related issues Create and maintain business metadata definitions, domain values and business rules Support Data Catalogue implementation, development, and enrichment Support governed change control of metadata Embed data ownership Guide and advise the business users, projects, and IT teams on meaning and use of data Perform execution of data issue process Assist in the development of data domain business rules (algorithms, calculations, processing requirements, etc.) Work with the Data Quality Analyst team to define data standards, business rules and embed best practice Main requirements: BSc/MSc in Information Technology or any other related field Minimum 2 years’ experience in data stewardship or a similar role Excellent stakeholder management and collaboration skills Sound knowledge of data governance practices and processes Good understanding of data quality processes Experience working with business, operational data and technical teams to clearly detail data governance and metadata requirements Experience in executing remediation activity to address quality issues, identifying data enhancements or improvements, and defining master / golden sources Broad understanding of client journeys in a service- and product-oriented organisation Strong analytical skillset Ability to inspire users to follow the data governance framework at the company; have a good rapport with the users, and possess business maturity Experience in either creating or using a data catalogue Benefit from: Attractive remuneration package plus performance related reward Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Architecture & Design — Lead the design and implementation of core protocol components, from initial prototypes to production-grade deployment. Protocol Development — Develop and optimize data structures, consensus algorithms, and cryptographic implementations (e.g., zero-knowledge proofs). Security & Verification — Identify attack vectors, failure modes, and performance bottlenecks; apply formal verification or simulation to validate designs. Cross-Functional Collaboration — Partner with researchers, product managers, and security teams to translate roadmaps into precise technical specifications. Mentorship & Quality — Drive code quality through design reviews, documentation, and technical leadership; mentor junior engineers. Technical Skills Advanced proficiency in systems-level languages used in blockchain (Rust, Go) and smart contract languages (Solidity). Demonstrated track record of open-source contributions in the Web3 ecosystem. Domain Knowledge Strong background in distributed systems, peer-to-peer networking, and modern blockchain primitives (rollup technologies, account abstraction). Up-to-date with rapidly evolving standards such as Ethereum upgrades and inter-blockchain communication protocols. Problem-Solving Proven ability to debug complex issues across network and application layers. Experience making high-level architectural tradeoffs across performance, scalability, and security. Communication Ability to document system improvements and communicate technical concepts to both technical and non-technical stakeholders. Fluency in English, and Korean proficiency would be a plus. Hiring Process Resume Screening → 1st Interview → 2nd Interview → Salary Negotiation Contract Type Singapore: Full-time Employee (Onsite) Worldwide: Service Contractor (Fully Remote)

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Team The CEX Trading Mobile Team sits at the heart of OKX 's flagship exchange product, owning the trading experience for millions of users worldwide. We build and scale the real-time market data infrastructure that powers the OKX App — from live quotes and K-line charting to the full suite of trading scenarios that traders rely on every day. As a team, we care deeply about engineering quality: we hold high standards for technical architecture, move fast without cutting corners on stability or performance, and invest consistently in growing our craft through knowledge-sharing and technical training. We're now at an exciting inflection point, actively integrating AI into our product and engineering workflows — exploring how large language models, on-device inference, and intelligent agents can reshape the trading experience. If you're energized by solving hard technical problems at scale, working in a fast-moving market that never sleeps, and driving real innovation in one of the world's leading crypto platforms, this is the team to be on. What You'll Be Doing Owning the technical design and delivery of trading market data features for the OKX App — including real-time quotes, K-line charts, and related scenarios: Leading the team through product development, optimization, and ongoing maintenance. Participate in product requirement discussions, define well-reasoned technical solutions, and safeguard product performance, stability, and user experience. Stay deeply informed on industry trends, continuously refine the technical architecture, and drive the growth of the team's engineering capabilities. Organize and take part in technical training and knowledge-sharing sessions to elevate the team's overall technical proficiency. Coordinate cross-functional resources to keep projects on track and on quality, ensuring smooth, high-quality feature launches. Continuously improve the user experience, performance, and architecture of the modules under your ownership. Lead the team in exploring the integration of AI into business scenarios, driving product and technology innovation. What We Look For In You Hands-on AI engineering/pipeline development experience — Solid understanding of LLM fundamentals, Prompt Engineering, RAG, and core Agent concepts; proven practical experience delivering AI engineering solutions, including building complete AI workflows/pipelines from the ground up. Track record of leading mid-to-large-scale projects end-to-end — High standards for technical architecture and engineering quality. Trading business background — Client-side development experience at a crypto exchange, brokerage, or fintech app; familiarity with core domains such as order matching, market data display, and asset management. Nice-To-Haves Native iOS or Android development background — Solid mobile engineering foundation with knowledge of mainstream platform architecture, performance optimization, and release processes. Client-side team management experience — Has led a client-side team of 5 or more; capable of mentoring, cross-team collaboration, and technical review. On-device AI or cross-platform experience — involve on-device AI inference, multimodal client features, or cross-platform architecture with Flutter / React Native. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Team The CEX Trading Mobile Team sits at the heart of OKX 's flagship exchange product, owning the trading experience for millions of users worldwide. We build and scale the real-time market data infrastructure that powers the OKX App — from live quotes and K-line charting to the full suite of trading scenarios that traders rely on every day. As a team, we care deeply about engineering quality: we hold high standards for technical architecture, move fast without cutting corners on stability or performance, and invest consistently in growing our craft through knowledge-sharing and technical training. We're now at an exciting inflection point, actively integrating AI into our product and engineering workflows — exploring how large language models, on-device inference, and intelligent agents can reshape the trading experience. If you're energized by solving hard technical problems at scale, working in a fast-moving market that never sleeps, and driving real innovation in one of the world's leading crypto platforms, this is the team to be on. What You'll Be Doing Owning the technical design and delivery of trading market data features for the OKX App — including real-time quotes, K-line charts, and related scenarios: Leading the team through product development, optimization, and ongoing maintenance. Participate in product requirement discussions, define well-reasoned technical solutions, and safeguard product performance, stability, and user experience. Stay deeply informed on industry trends, continuously refine the technical architecture, and drive the growth of the team's engineering capabilities. Organize and take part in technical training and knowledge-sharing sessions to elevate the team's overall technical proficiency. Coordinate cross-functional resources to keep projects on track and on quality, ensuring smooth, high-quality feature launches. Continuously improve the user experience, performance, and architecture of the modules under your ownership. Lead the team in exploring the integration of AI into business scenarios, driving product and technology innovation. What We Look For In You Hands-on AI engineering/pipeline development experience — Solid understanding of LLM fundamentals, Prompt Engineering, RAG, and core Agent concepts; proven practical experience delivering AI engineering solutions, including building complete AI workflows/pipelines from the ground up. Track record of leading mid-to-large-scale projects end-to-end — High standards for technical architecture and engineering quality. Trading business background — Client-side development experience at a crypto exchange, brokerage, or fintech app; familiarity with core domains such as order matching, market data display, and asset management. Nice-To-Haves Native iOS or Android development background — Solid mobile engineering foundation with knowledge of mainstream platform architecture, performance optimization, and release processes. Client-side team management experience — Has led a client-side team of 5 or more; capable of mentoring, cross-team collaboration, and technical review. On-device AI or cross-platform experience — involve on-device AI inference, multimodal client features, or cross-platform architecture with Flutter / React Native. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Espoo Workplace: Hybrid - Title: Engineering Operations Manager - Department: Spacecraft Hardware - Location: Espoo - Reports to: Engineering Operations Management Lead - Contract: Permanent - Working style: Hybrid / Office - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS This role ensures complex space system projects are executed with clarity, accountability, and strong cross-functional coordination, reducing risk and enabling high-quality outcomes. By driving disciplined planning, effective decision-making, and consistent Design-to-Build adoption, it strengthens execution while fostering a motivated and collaborative team culture. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. REQUIREMENTS & EXPECTED OUTCOMES EXPECTED OUTCOMES ICEYE’s growing portfolio of high-impact programs requires dedicated leadership for select critical projects. While Directors oversee many initiatives and engineers lead most development work, the Engineering Operations Manager (EOM) will take charge of key efforts such as next-generation satellite designs and major technology upgrades, coordinating subsystem owners and assigned engineers. The EOM is accountable for project execution and has authority over allocated resources. They propose project timelines aligned with organizational needs, request appropriate resourcing, and then own and manage the schedule across engineering teams. For other space-system projects, the EOM proactively identifies bottlenecks, escalates challenges with recommended actions to Directors or VPs, and ensures alignment with organizational objectives. The EOM facilitates efficient technical decision-making by assembling the right experts, resolving most issues directly, and involving Directors or senior leadership when decisions carry major implications. They use available tools to motivate teams and enable project leads to work effectively. Delivering a project at the cost of team morale or collaboration is considered a failure for the role. Finally, the EOM owns the implementation of the design-to-build process, ensuring consistent quality and execution across all subsystem owners and project leaders. Success requires comprehensive planning and foresight across the project lifecycle. PROJECT/SUBSYSTEM LEADERSHIP (CRITICAL PLANNING TASKS) - Perform work breakdown (WBS). - Build, monitor, and maintain the project timeline. - Identify, assess, and mitigate risks proactively. - Ensure documentation is in place and aligns with D2B standards. ENABLING OTHER PROJECT COORDINATORS & SUBSYSTEM OWNERS - Run the project management process, including resource allocation and reporting. - Develop ways to share best project management practices. - Aligning with the supply chain on prioritization of orders and providing visibility on critical items. ESSENTIAL QUALIFICATIONS AND TRAITS - Technical Acumen: Able to understand the technical requirements and complexity of the project and dissect what the main bottlenecks and challenges would be. - Hands-on Experience: Possess hands-on experience and knows how long things take because you have done them or worked closely with stakeholders. - Risk Management: Able to understand where to take risk and comfortably take that risk when needed for project success. - Contingency Thinker: Know that the project needs a Plan A, B, C, D... and is always ready to change direction to succeed. - Proactive Drive: High energy and drive; you respond to challenges by saying, "let me take a look," and immediately devise a plan with compromises to achieve success. APPLICATION PROCESS - Recruiter Interview - Hiring Manager Interview - Managerial Task - Peer Interview - Stakeholder Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE At Baseten, we’re looking for a Technical Program Manager to drive our most complex, cross-cutting infrastructure programs. This role will operate across all domains of AI infrastructure, from the GPUs up to the multi-cluster orchestration layer. This is an execution-first role. The work is less about owning a single system and more about imposing order on ambiguity: standing up the right structures, driving decisions to closure, and making sure nothing falls through the cracks across dozens of stakeholders. If you take satisfaction in turning a chaotic, half-defined initiative into a predictable, well-governed program, this role is for you. RESPONSIBILITIES - Own complex migrations end to end. Lead large-scale infrastructure migrations across teams and domains. This will involve scoping the work, sequencing dependencies, managing risk, and driving them to completion without surprises. - Drive process across infrastructure. Establish and run the operating rhythms that keep programs healthy: planning cadences, status reporting, decision logs, risk reviews, and escalation paths. Make the process light enough that teams adopt it and rigorous enough that it actually works. - Help managers build the right structures. Partner with engineering managers and leads to design the team structures, ownership boundaries, and working models a program needs to succeed. Spot gaps in accountability before they become problems. - Own follow-ups relentlessly. Be the person who tracks every open item, owns the action register, and closes loops. Drive decisions and unblockers to resolution rather than letting them drift. - Create clarity from ambiguity. Take loosely defined goals and turn them into scoped, sequenced, resourced plans with clear owners and measurable milestones. - Manage risk and dependencies. Maintain a clear-eyed view of cross-team dependencies and risks; surface them early, drive mitigation, and keep leadership informed with honest, signal-rich updates. - Communicate up, down, and across. Translate between deeply technical teams and senior leadership. Run effective program reviews and write the kind of crisp status that lets busy people make fast decisions. REQUIREMENTS - 3+ years of technical program management experience, with a track record of delivering large, cross-team infrastructure or platform programs. - Demonstrated ownership of complex migrations or comparable multi-domain initiatives from inception through completion. - Strong execution discipline: you build the structures, cadences, and tracking that keep programs on the rails, and you hold the line on follow-through. - Comfort operating across multiple infrastructure domains. You don't need to be the deepest expert in any one, but you can engage credibly with engineers on compute, storage, networking, and data. - Proven ability to influence without authority, aligning teams and managers who don't report to you around shared plans and commitments. - Excellent written and verbal communication; you can make complex, technical programs legible to any audience. - A bias toward closure: you're uncomfortable with open loops and you drive things to done. NICE TO HAVE - Experience designing team structures or operating models alongside engineering leadership. - Experience with AI models, their use, and how they operate at the infrastructure level. - Background in or exposure to software engineering, SRE, or infrastructure operations. - Familiarity with the tooling that supports program execution at scale (e.g., issue tracking, planning, and reporting systems). WHAT SUCCESS LOOKS LIKE - In your first few months, you'll have taken ownership of one or more in-flight programs, established the operating rhythm they were missing, and built the trust that makes teams want you in the room. - Within a year, the programs you run are the ones leadership doesn't worry about, because the structure is clear, the risks are visible early, and the follow-ups always close. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: New York Workplace: onsite About Xsolla Xsolla is a global video game commerce company that provides the tools and infrastructure the gaming industry relies on to build, distribute, and monetize games. Working with developers and publishers of every size, from independent studios to the largest franchises in the world, Xsolla operates as a merchant of record and processes payments across more than 200 countries and territories, supporting over 1,000 payment methods, 130 currencies, and 25 languages. Its platform spans the full game lifecycle, including web shops, Pay Station, Login, Launcher, the In-Game Store, and a broad suite of LiveOps and monetization tools. Strategic Initiatives and Capital Markets Beyond its core commerce platform, Xsolla has built an expanding set of strategic and capital markets initiatives. The company connects developers with capital through programs such as the Xsolla Funding Club, and it has extended its footprint into the public markets through Xsolla SPAC 1 (Nasdaq: XSLLU), a publicly listed acquisition vehicle focused on gaming, fintech, adtech, and related technology sectors. These activities sit alongside a growing portfolio of partnerships, market expansion programs, and new business lines led by the Global Strategic Initiatives and Partnerships organization. Market Opportunity The opportunity is significant. The global games market is on track to exceed 300 billion dollars, and the sector has matured into a genuine institutional asset class. Industry trackers recorded roughly 161 billion dollars of games industry mergers and acquisitions in , and private equity firms, strategic acquirers, and sovereign investors continue to deploy capital into the studios, platforms, and infrastructure that power the industry. Xsolla sits at the center of this commerce layer, which positions the company to play a meaningful role in how capital flows through gaming. For more information, visit xsolla.com. About the Opportunity Xsolla is seeking a Head of Investor Capital and Relations to lead its capital formation and investor relations agenda from New York. This senior, high-visibility mandate brings together two disciplines that are often treated separately: raising and structuring capital, and stewarding the relationships and narrative that sustain long-term investor confidence. The successful candidate will own the institutional capital relationships that support Xsolla’s strategic vehicles and initiatives and serve as a principal point of contact between the company and the global investment community. The role reports directly to the Senior Vice President of Global Strategic Initiatives and Partnerships and works in close partnership with the Chief Executive, Chief Legal Officer, finance leadership, and the founders. It is designed for an investor who understands capital from the inside: someone who has sat across the table from sponsors, sovereign funds, and institutional allocators, and who can translate Xsolla’s strategy into a compelling, credible investment thesis. The Head of Investor Capital and Relations will be based in New York and will report to Rytis Joseph Jan, Senior Vice President of Global Strategic Initiatives and Partnerships. The role requires significant global travel, including regular engagement across the Gulf, Asia, and major financial centers, to build and maintain the relationships at the heart of the mandate. Expressions of Interest Xsolla welcomes confidential conversations with qualified candidates and trusted introductions. Please direct expressions of interest, together with a resume and a short note on relevant experience, to the Xsolla Talent Acquisition team via the application button linked below. Role Overview As Head of Investor Capital and Relations, you will be responsible for the full arc of capital engagement, from sourcing and cultivating investors, to structuring and executing capital raises, to maintaining disciplined, compliant, and trusted relationships once capital is committed. Your remit will span private capital formation, sovereign and strategic institutional relationships, and the investor relations function associated with Xsolla's publicly listed activities. You will build the investor relations capability that a company operating in and around the public markets requires, including the disclosure discipline, messaging consistency, and relationship infrastructure that institutional investors expect. You will also act as a senior commercial partner to the deal teams, helping to shape the capital structure, investor syndicate, and positioning of strategic transactions. This is a builder's role. You will establish the processes, materials, and team that allow Xsolla to engage the capital markets with the professionalism of a far larger institution, while retaining the speed and ambition of a company in a high growth sector. Key Responsibilities Capital Formation and Fundraising Lead capital raises. Design and execute capital raises across the firm's strategic vehicles and initiatives, spanning equity, structured, and credit instruments. Own the investor pipeline. Develop and manage the investor pipeline, from initial sourcing and qualification through diligence, negotiation, and close. Build the materials. Create the core fundraising materials, including the equity story, investor presentations, data rooms, and the supporting financial narrative, in partnership with finance and legal. Structure terms. Shape terms and commitments in coordination with deal leadership, balancing the interests of the firm, its founders, and incoming investors. Read the market. Maintain a current and accurate view of market conditions, investor appetite, and comparable transactions to inform timing and structure. Sovereign Wealth and Strategic Institutional Capital Gulf sovereign wealth funds alone manage on the order of 5 trillion dollars in assets and have become active, thematic investors in technology and platform businesses, with leading funds such as QIA, PIF, ADIA, Mubadala, and ADQ frequently writing large strategic commitments. Cultivating and stewarding these relationships is central to this role. Originate relationships. Build and steward relationships with sovereign wealth funds, strategic corporates, family offices, and large institutional allocators, with particular emphasis on the Gulf, Asia, and North America. Map the counterparties. Understand the priorities, mandates, and decision processes of target institutions, and align Xsolla's opportunities to the right counterparties and ticket sizes. Engage principals. Serve as a trusted, senior relationship owner who can engage principals and investment committees with credibility and discretion. Coordinate coverage. Align coverage strategy with banking partners and advisors to maximize reach into the institutions that matter most. Public Markets, SPAC, and Business Combination Investor Relations Build the IR function. Establish and run the investor relations function for Xsolla's publicly listed activities, including Xsolla SPAC 1, in line with the standards expected of a public company. Manage public investors. Manage relationships with public market investors, sell side and buy side analysts, and prospective shareholders, and serve as a primary point of contact for inbound investor inquiries. Lead event communications. Lead investor communications around capital events, including any business combination, and prepare leadership for investor meetings, roadshows, and earnings style updates. Craft the message. Develop consistent, accurate messaging that links strategy, key metrics, and results, and that supports informed engagement and durable investor confidence. Protect disclosure integrity. Partner with legal and compliance to uphold disclosure obligations, including fair disclosure principles, blackout periods, and safe harbor language for forward looking statements. Capital Markets Strategy and Transaction Execution Advise on structure. Advise leadership on capital structure, funding strategy, and the optimal mix of capital across the firm's objectives. Support transactions. Support the execution of strategic transactions, including acquisitions and business combinations, by shaping the investor syndicate, terms, and positioning. Coordinate advisors. Direct the work of banks, advisors, and counsel through diligence and execution, and keep workstreams aligned to timeline and outcome. Translate the market. Monitor capital markets developments, sector valuations, and competitor activity, and translate them into recommendations for leadership and, where relevant, the board. Disclosure, Communications, and Governance Set the framework. Establish and maintain a disciplined disclosure and communications framework, including policies, calendars, and approval workflows. Prepare materials. Prepare board level and investor level materials, and contribute to the narrative that the company presents to the market. Ensure compliance. Ensure that all investor facing communications are accurate, consistent, and compliant, and that material information is handled appropriately. Leadership and Cross-Functional Partnership Build the team. Recruit, mentor, and lead the investor relations and capital markets team over time. Work across the firm. Partner seamlessly across finance, legal, strategy, communications, and the founders to deliver a unified message to the market. Represent Xsolla. Represent the company with poise and authority at investor meetings, industry forums, and capital markets events around the world. Candidate Profile Experience Twelve to fifteen years or more of progressive experience across investment banking, private equity, sovereign wealth or institutional investing, capital markets, or senior investor relations, ideally spanning more than one of these. A demonstrable track record of raising or deploying institutional capital and of closing complex transactions. Direct experience engaging sovereign wealth funds, strategic investors, or large institutional allocators at a senior level. Exposure to public company investor relations, the listing process, or a business combination is strongly preferred. Domain Expertise Deep fluency in capital structure, private placements, equity and credit instruments, and transaction processes. A strong working knowledge of public market disclosure, fair disclosure principles, and the obligations that accompany a listing. Familiarity with gaming, technology, fintech, or other high growth sectors is a clear advantage, as is comfort operating across the Gulf, Asia, and North American markets. Skills and Competencies Exceptional financial acumen, with the ability to build and interrogate the analysis behind a capital raise. Outstanding written and verbal communication, with the ability to turn a complex strategy into a clear and persuasive investment narrative. Significant relationship capital and the gravitas to engage principals, investment committees, and senior executives. Sound judgment, discretion, and the highest standards of integrity when handling sensitive and material information. The drive and resourcefulness to build a function from the ground up in a fast moving environment. Education and Credentials A bachelor's degree in finance, economics, business, or a related field is required. An advanced degree such as an MBA, or a professional credential such as the CFA, is strongly preferred. Relevant securities licenses, or the willingness to obtain them, are viewed favorably. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the Head of Investor Capital & Relations role, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Working with vulnerable populations Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with thisXsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com. Compensation is competitive and negotiable based on experience, and includes performance-based incentives, equity participation, and comprehensive health, retirement, and wellbeing benefits.

Location: Minsk; Warsaw; Tbilisi; Chișinău; Buсharest; Belgrade; lisbon Workplace: hybrid IDT is expanding its AI Lab and seeking a hands-on, highly experienced Senior Data Scientist with a proven track record of building new ML models from scratch and deploying them into real-time production. You will tackle complex problems across fraud prevention, payment risk, transaction scoring, personalization, and financial forecasting using large-scale transactional datasets. You will own the full modeling lifecycle — from problem framing through to production monitoring. Key Responsibilities: ML & Predictive Modeling: Design and build new models from the ground up (gradient boosting, neural networks, ensembles, anomaly detection) for anti-fraud, risk assessment, and personalization; maintain rigorous validation practices to prevent data leakage and overfitting. End-to-End & MLOps: Partner with Data Engineering and MLOps to operationalize models in production (batch and real-time/low-latency); build training, experiment tracking (MLflow), and model/data drift monitoring pipelines. Experimentation & Business Impact: Design A/B tests and statistical evaluations to measure model performance against key business metrics (reduced fraud losses, transaction acceptance rates, decision latency). R&D & Technical Leadership: Explore emerging techniques (LLMs/GenAI, graph-based methods), establish engineering best practices, and mentor fellow team members. Requirements (Must-Have): Experience: 5+ years of hands-on experience in Data Science / ML, with a strong focus on designing and building new ML models from scratch and delivering them into production with measurable business impact. English: B2+ (Upper-Intermediate or higher) — fluent written and spoken communication for technical discussions and daily collaboration with an international team. Math & Modeling Foundations: Deep understanding of statistics, probability, and validation methodologies; practical experience handling class imbalance, model calibration, and anomaly detection. Tech Stack: Python: Advanced proficiency (Scikit-learn, Pandas, NumPy); Deep Learning: Hands-on experience with PyTorch or TensorFlow; SQL: Complex queries and large-scale data manipulation; MLOps Tools: Experiment tracking and model lifecycle management (MLflow, ClearML, etc.). Education: Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field. Nice-to-Have: Domain experience in FinTech, Payments, or Fraud Prevention: real-time transaction scoring and low-latency inference. Experience with cloud data platforms (Snowflake), Feature Stores, and event-driven architectures. Background in time-series forecasting, graph neural networks, Explainable AI (XAI), or applied LLM solutions. Master’s degree or Ph.D. in a quantitative discipline. We offer you: Remote b2b or hybrid (Belarus-Moldova) work opportunity! Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. More perks for the Minsk and Chisinau office employees. A few words about us:   IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.    IDT is not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.   Our flagship brand, BOSS Revolution, offers Money Transfer, International Calling, and Mobile Top-Up services and supports IDT’s mission of enabling people to keep in touch and share resources with family and friends worldwide. If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this opportunity is for you!

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is investing in shared platform capabilities that power Claude across our consumer and developer products: the common foundation that Claude, Cowork, Claude Code, and future surfaces are built on. We're hiring a Technical Program Manager to be the connective tissue for this effort, someone who ensures we're building the platform the rest of Anthropic's products are built on, and that product teams actually get leverage from it. This is not a single-team TPM role. You'll work across the platform engineering teams and every product team that consumes the platform, driving one cohesive roadmap rather than a collection of disconnected workstreams. Success looks like products at Anthropic shipping more easily, faster, and more reliably because they're built on a common foundation, with developer velocity increasing measurably across the company, not just within one team. Responsibilities Own the cross-Apps platform roadmap end to end: sequencing, dependencies, and tradeoffs across platform teams and the apps teams that depend on them Drive alignment between platform engineering and apps teams so platform investments map to real consumer needs and adoption actually happens (leverage only exists if teams build on the platform) Identify duplication across surfaces and convert it into shared platform capabilities Establish the operating rhythm: planning, status, escalation paths, and launch coordination across orgs Create program documentation including roadmaps, status reports, risk assessments, and communication plans Facilitate technical decision-making by bringing together stakeholders, driving consensus, and ensuring timely resolution of blocking issues You may be a good fit if you Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs Have experience with platform engineering efforts (shared services, developer platforms, or common capabilities consumed by multiple product teams) and can engage meaningfully with the engineers building them Have driven platform adoption across consuming teams, where success depended on other teams choosing to build on what you shipped Have experience coordinating across multiple engineering teams and organizations simultaneously Are highly organized and can manage multiple parallel workstreams effectively across distributed teams Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations Have excellent written and verbal communication skills, with the ability to influence without authority Are passionate about Anthropic's mission and interested in the challenges of bringing AI capabilities to users safely and reliably 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: $365,000 — $435,000 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: New Delhi, India; Bengaluru, India; Mumbai, India; Pune, India; Philippines Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You Will Do: Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution Plan and design simple to semi-complex business processes and system modifications Make recommendations to improve and support business activities Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design Develop business requirements documents/user stories to support the required modifications May plan, allocate and monitor work of other business analysts Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills Assist in providing time estimates for project related tasks Aid in updating process and procedural documentation Develop basic understanding of technical development cycle of mobile application or web portals Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc. Any other task that may be assigned What We Need: Minimum 5 years of experience as Business Analyst A degree in Business, IT or any relevant field Previous experience working in the health insurance industry is required Insurtech experience is preferred Health Insurance-related domain certification from INS/LOMA or III is an added advantage Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes Experience in an Agile and/or Scrum environment is a must Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow Excellent written and verbal communication skills in English Technical writing skills is a plus Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Significant software engineering experience, particularly with distributed systems Results-oriented, with a bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Preferred qualifications Experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience with load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) Proficiency in Python or Rust Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users reliably Contributing to new inference features Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 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: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Security Risk team is responsible for how Anthropic identifies, prioritizes, and drives treatment of its most important security risks. We are rebuilding risk management to operate as an engineering function through automation and AI-native platforms to enable decision making. The systems we assess span Anthropic’s full security landscape, from authorization primitives to cryptographic foundations, so the team needs breadth across domains and the ability to go deep in any of them. Security Risk, in deep partnership with Security Engineering, will help define the security program to shape how both engineers and non-engineers build and ship software. The conventional GRC playbook was not built for a company shipping frontier AI. You will help define what replaces it, with a direct line to CISO-level decisions and the mandate to build the AI-native platform underneath. You’ll work across a breadth of areas from identity and secrets management to infrastructure security, with your focus shaped by your strengths, ability to learn quickly, and the team’s priorities. This is largely greenfield work, and you will help define the architecture and discipline. Key responsibilities Take ownership of Anthropic’s most complex security risk problems and drive them end to end with minimal oversight, turning ambiguous signals into a defensible view of severity and likelihood and seeing them through escalation, treatment decisions, and remediation Build the systems that make risk measurable and let risk work scale, including quantification tooling, automated intake and triage, and the observability that partner teams use to understand their own risk posture Work alongside Security Engineering as a calibrated technical peer who pressure tests architectures and treatment plans, translates findings into prioritized remediation roadmaps, and makes the investment case for what to fix now, what to accept and track, and what to defer Mentor engineers and risk practitioners across Security and the broader engineering organization, and help build a risk engineering culture in which teams own their risks and our team provides the visibility and judgment that supports the Security risk engineering Work across the breadth of Anthropic’s security landscape, spanning areas like identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks, and build the context needed to reason about risk credibly in each Go deep where a risk demands it, understanding how these systems are built and how they fail so that assessments and treatment plans reflect engineering reality rather than abstraction Risk assessment and quantification Identify systematic risks through threat modeling and structured assessment, then drive the severity calibration and escalation conversations that follow, bringing leadership a defensible position and a clear recommendation that holds up under pointed questions Contribute to the team’s quantitative risk work, applying methods such as calibrated estimation and Monte Carlo simulation where they meaningfully change a resource or treatment decision Risk platform and automation Design and build AI-native risk tooling that uses Claude to classify incoming risks, augment triage, and continuously sense changes in our risk landscape as teams ship Create the dashboards and data pipelines that give engineering and product teams real-time visibility into their risk posture and make distributed ownership of risk practical Remediation strategy and investment Partner with Security Engineering and risk owners to design remediation roadmaps that are explicit about sequencing, ownership, and the investment required Measure outcomes rather than activity, focusing on decisions made and risk reduced Minimum qualifications At least 8 years of software engineering or security engineering experience, including leading and remediating complex security risks independently Bachelor’s degree in a related field or equivalent experience Strong programming skills in Python or at least one systems language such as Go, Rust, or C/C++ Broad knowledge across the core security engineering domains, with depth in at least one, including identity and secrets management, developer security and supply chain, infrastructure and cloud security, and secure frameworks Calibrated risk judgment, meaning you can put a defensible severity and likelihood on an ambiguous problem and change your position when the evidence changes Experience leading cross-functional security initiatives and navigating complex organizational dynamics Outstanding communication skills, translating technical concepts effectively across all levels of the organization A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution Low ego and high empathy, with a history of growing the engineers around you and supporting diverse, inclusive teams Passion for AI safety and the role security and risk management play in building trustworthy AI systems Preferred qualifications Owned a named security risk and driven it from discovery through remediation across multiple teams Briefed executives on risk decisions and defended accept, remediate, or transfer recommendations under challenge Built security automation, detection, or risk platforms adopted across an engineering organization Shipped LLM or agent-powered tooling and workflows that automate security or risk activities A security engineering, detection engineering, or offensive security background with a risk-based prioritization mindset Built or operated a quantified security risk program (FAIR-style decomposition, Monte Carlo simulation, loss exceedance analysis) whose outputs changed real resource decisions Enough familiarity with SOC 2, ISO 27001, or FedRAMP to know what compliance does and does not buy you The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 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: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely 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: €205.000 — €255.000 EUR 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: One Kattameya, Cairo Workplace: onsite We are hiring a Senior Data Scientist to join our team at Klivvr. What you'll do: - Own a domain such as credit, risk, or growth end to end, setting the modeling strategy and being accountable for the systems that result. - Take on the most ambiguous, highest-stakes problems, including framing what should be built and why before any modeling begins. - Make and defend the hard technical calls, choosing the simplest approach that solves the problem rather than the most sophisticated one. - Drive models into production and own their long-term health, performance, and reliability once they're live. - Set technical direction and standards that other data scientists build on, through design reviews, shared tooling, and engineering practices. - Mentor data scientists across levels and raise the quality bar for the team's work. - Translate business strategy into a coherent data science roadmap and communicate tradeoffs clearly to leadership. To succeed in this role, you'll need to have: - 5+ years of hands-on data science or applied ML experience, with a track record of owning systems in production end to end. - Deep proficiency in Python (NumPy, pandas, scikit-learn) and SQL, and strong software engineering fundamentals. - Strong grounding in statistics, probability, and machine learning, with the judgment to know which method actually fits the problem. - Experience designing and operating large-scale ML systems on cloud platforms (AWS preferred). - A demonstrated ability to lead ambiguous, cross-functional initiatives without close guidance. - Excellent communication skills, including the ability to influence technical and business stakeholders and to make others better through your feedback.

Location: Amsterdam Build with us Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with products designed to be simple, scalable, and dependable. With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions. We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of. Sound like your kind of place? Let's build together. Your impact At Mollie, data and money movement are at the heart of everything we do — and the engineers who build and maintain these systems are central to our mission. As an Application Engineer II, you will work on systems that operate at the core of Mollie's platform — from the financial infrastructure that underpins every payment we process, to the data products that help our merchants grow, protect their revenue, and optimise their performance. The work is high-stakes, high-ownership, and highly visible. You will be building systems where correctness, reliability, and scale are non-negotiable — and where the things you ship directly impact more than 250,000 businesses across Europe. This is not a maintenance role. You will be joining a small, fast-moving team with a clear and ambitious mandate, working in a delivery-first environment where you take ideas from concept to production. You will have real end-to-end ownership, collaborate closely with engineers, product managers, and stakeholders across domains, and contribute to some of the most strategically important work happening at Mollie right now. What you'll ship - Design, build, and maintain backend systems and APIs that operate at high scale and high frequency — where performance, fault tolerance, and reliability are critical. - Take ownership of features end-to-end, from architecture and estimation through to delivery, production support, and continuous improvement. - Contribute to ambitious migration and modernisation initiatives, decoupling legacy dependencies and building cleaner, more scalable foundations for the future. - Transform complex technical and business requirements into well-designed, production-ready solutions — working closely with product and engineering stakeholders to shape what gets built and how. - Participate actively in agile ceremonies including brainstorming, estimation, and sprint planning, bringing both technical depth and a product-first perspective to the table. - Identify and resolve complex issues across distributed systems, applying creative problem-solving to challenges that sit at the intersection of engineering excellence and real merchant impact. What you'll bring - 5+ years of backend engineering experience, with strong proficiency in Java and ideally exposure to PHP; experience with Go, C#, or Python is also valued. - Experience building and maintaining large-scale, high-volume systems — with a solid understanding of distributed systems, queuing, caching, concurrency, fault tolerance, and scalability. - A background in financial systems, payments, or data-intensive applications is a big plus — you understand what it means to build systems where correctness, reliability, and performance are non-negotiable. - End-to-end ownership mindset — you don't just execute tasks; you take initiative, shape ideas with a product-first approach, and think in terms of outcomes for merchants and the business. - Strong communication skills, with the ability to work effectively with both technical and non-technical stakeholders across domains. Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below. Want a peek behind the scenes? Check out what life at Mollie is really like. AI at Mollie We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day. AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us. Kindly note that relocation support is not offered for this role.