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Location: India About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We’re looking for an experienced leader to own data center IT operations across APAC, covering both Nebius-owned and colocation sites. You will lead operations for GPU and high-performance computing (HPC) infrastructure, including high-density and liquid-cooled platforms. In this role, you will build and scale the regional operations organization and own the full operational lifecycle: preparing new sites for service, delivering reliable 24/7 support, managing hardware assets and returns, and overseeing changes to infrastructure in production. Your responsibilities will include: Full-stack IT operations Define and run the support model per site: 24/7 L1/L2 on-site, L3, on-call/duty coverage; final escalation point for critical incidents; RCAs and preventive actions. Own post-acceptance change management: upgrades, migrations, maintenance windows, decommissioning. Ensure availability and performance of compute, storage and network infrastructure in operation. New sites into operations Own operational readiness for every new DC : staffing, access, tooling, monitoring, ticketing, spares, documentation. Define acceptance criteria and handover from the Project team; sign off on acceptance into operations. RMA , asset & spare management Own the global asset lifecycle: intake, CMDB accuracy, audits, decommissioning and e-waste. Own RMA end to end: OEM channels, warranty terms, partner/franchise RMA integrations. Set spare-zone standards and stock levels per site; balance spares against failure rates and SLAs. Service governance & vendors Own SLAs and OLAs with platform, storage, network, internal teams. Manage colocation, field-service, outsourcing and OEM relationships: scope, SLAs, performance, disputes. Manage and report operational KPIs, risks and capacity to senior management and colocation tenants. Team, processes & compliance Org design and headcount forecasting from the DC launch pipeline; own the hiring pipeline (JDs, interview loops, recruiters, outsourcing, internships). Own ITDC processes, SOPs/runbooks, documentation and Jira/Confluence standards; competency and training frameworks. Ensure audits readiness, security posture reviews, DC access management and EHS adherence. We expect you to have: 10+ years in data center IT operations including hands-on infrastructure support; 5+ years leading managers across multiple sites or countries. Experience taking new data centers or clusters from build into operations. Deep operational knowledge of RMA , asset management and spare planning at scale. Familiarity with GPU/ HPC infrastructure and its failure modes. Experience owning SLAs/OLAs and RACI between infrastructure teams; strong ITIL / ITSM grounding. Vendor and contract management with colocation providers, field-service vendors and OEMs. Experience building and scaling teams; fluent English; readiness to travel. It Will Be an Added Bonus If You Have Experience with GB200 / GB300 -class liquid-cooled deployments ( DLC , CDU operations). Experience with franchise or outsourced DC operating models. Audits experience; ITIL or PMP certification. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - Riyadh, Saudi Arabia MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. MinIO is looking for a senior partnership and business development executive to own a flagship strategic partnership end-to-end—commercially, operationally, and strategically—as it scales from initial agreement into a multi-year, multi-workstream engagement across the region's sovereign AI infrastructure landscape. This is a high-visibility, single-account-depth role. You'll sit at the intersection of enterprise sales, channel/reseller strategy, and executive relationship management, with the credibility to operate comfortably at C-level on both sides. What You Will Do Own the day-to-day partnership relationship. Act as the primary point of contact between MinIO and the partner's business and technical teams, keeping both sides aligned on commitments, priorities, and delivery milestones across the joint platform engagement. Expand the commercial scope of the partnership. Identify and negotiate opportunities to grow the relationship — new use cases, new regions, upsells, renewals, and expanded terms — building on the existing agreement. Manage contract renewals and amendments. Own the negotiation of contract renewals, amendments, and expanded commercial terms as the partnership evolves. Build and maintain executive relationships. Serve as the primary business point of contact for partner executives; keep leadership on both sides engaged and aligned on the health and direction of the partnership. Drive partnership-sourced pipeline and revenue. Own quota or targets tied to pipeline and revenue generated through the partnership; work with sales to convert the relationship into closed business. Run joint go-to-market execution. Partner with marketing and sales to execute co-selling motions, joint offers, and campaigns — including reseller/channel activation — that activate the partnership commercially. Manage ongoing partner operations. Run recurring cadences with the partner — QBRs, roadmap syncs, escalation handling — and keep internal stakeholders informed of partnership status, risks, and commercial health. Navigate reseller and channel dynamics. Manage complexity across the partner ecosystem, ensuring commercial terms remain consistent with MinIO's broader channel strategy. Translate partner needs into internal priorities. Bring partner feedback and requirements back to product and engineering, and advocate for the resourcing needed to keep commitments on track — without owning the product roadmap yourself. Track and report on partnership performance. Define and report on KPIs for the partnership — pipeline generated, revenue closed, deployment milestones hit, and overall partnership health — to regional and global leadership. Represent MinIO externally. Represent MinIO alongside the partner at industry events (including flagship regional events such as LEAP), conferences, and executive briefings to strengthen the partnership's visibility in the market. Your Skills and Experience 15–20 years of collective experience across sales, presales, channel/alliances, and business development, ideally within infrastructure, data, or AI/ML companies — with a meaningful portion of that in a strategic partnership or key-account ownership capacity. Deep, demonstrated familiarity with the Saudi Arabia enterprise technology and sovereign-AI/government-adjacent ecosystem — national AI infrastructure initiatives and the broader Vision 2030 digital infrastructure landscape. A track record of managing and growing an existing strategic partnership at scale — expanding scope, renewing and amending contracts, and increasing revenue over multi-year horizons. Comfort owning commercial terms and contract negotiations directly (MSAs, NFRs, exclusivity, revenue share, reseller structures), with support from legal as needed. Strong working knowledge of object storage, data infrastructure, or AI/ML ecosystems — enough to speak credibly with technical stakeholders on topics like sovereign AI infrastructure, inference/training data pipelines, and platform architecture, even though this is not a hands-on technical role. Demonstrated success managing a partner relationship that drove measurable pipeline or revenue growth over time. Excellent relationship-building and executive communication skills — fully comfortable in the room with C-level partners and government-adjacent stakeholders. Experience with co-selling motions, joint go-to-market execution, channel/reseller management, and partner enablement. Bilingual fluency in Arabic and English, with a professional communication style suited to the Gulf enterprise and government context. Based in Riyadh; willing to travel regionally to partner sites, conferences, and industry events as needed. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Mumbai, India About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an Enterprise Account Executive, Industries - BFSI to pioneer Anthropic's enterprise AI adoption across India's banking, financial services, and insurance sector. You will build our presence from the ground up, securing transformative deals with leading banks, NBFCs, insurers, and fintechs, and establishing Anthropic as their trusted AI partner for digital transformation. You will navigate the complex, regulated environment of Indian financial institutions and position Claude as the AI solution that drives both efficiency and innovation while maintaining the highest standards of safety and reliability. As one of our first industry specialists in India, you will shape our BFSI go-to-market strategy and build the playbook for how Anthropic serves financial institutions, working closely with global teams while adapting our approach to local market dynamics. This position is based in Bangalore, Mumbai, or NCR, with travel across India. Key responsibilities Establish Anthropic's enterprise presence across India's BFSI sector, including public and private sector banks, NBFCs, insurers, asset managers, and fintechs Develop BFSI-specific strategies that account for RBI, IRDAI, and SEBI requirements, data localization needs, and sector compliance standards Build relationships with key stakeholders, including CXOs, Chief Risk and Compliance Officers, digital transformation leaders, and innovation heads at India's top financial institutions Create the India BFSI playbook for enterprise AI adoption, documenting successful approaches that can scale across the region Own end-to-end sales cycles for complex, multi-stakeholder enterprise deals, often involving board-level decisions Drive strategic expansion within lighthouse accounts that can serve as references for the entire BFSI industry Navigate procurement processes unique to Indian financial institutions, including vendor risk assessments, rate contracts, empanelment procedures, and multi-year agreements Collaborate with system integrators and consulting partners who often influence technology decisions at banks and insurers Co-innovate with customers to develop BFSI use cases, from vernacular customer service and fraud detection to credit underwriting and automated compliance reporting Understand sector-specific challenges such as financial inclusion, legacy core banking modernization, and data security in regulated environments Position AI strategically within the context of Digital India initiatives and financial sector modernization programs Ensure successful deployments that can scale from proof-of-concept to enterprise-wide implementation Partner with global product teams to prioritize features critical for Indian financial institutions, such as multi-language support, data residency, auditability, and integration with local systems Collaborate with legal and compliance teams to navigate India's evolving AI and data protection regulations Provide market intelligence on competitive dynamics, pricing expectations, and emerging BFSI use cases unique to India Build internal alignment between Anthropic's global strategy and India's market requirements Minimum qualifications 15+ years of enterprise sales experience in the Indian market, with a proven track record of closing large, complex deals, ideally across BFSI sector Deep understanding of how Indian financial institutions operate, including decision-making processes, budget cycles, and stakeholder dynamics Experience selling transformational technology (Cloud, AI/ML, Digital Transformation platforms) to Indian enterprises Established relationships with senior executives across banks, NBFCs, insurers, or fintechs Understanding of the Indian regulatory landscape, including RBI, NSE, IRDAI, and SEBI requirements, data protection laws, and sector-specific compliance Consultative selling expertise, with the ability to position AI as a strategic business driver rather than just a technology solution Complex deal structuring experience, including multi-year contracts, phased deployments, and outcome-based pricing Technical acumen to engage credibly with CTOs, architects, and data science teams Cross-cultural communication skills to work effectively with both Indian stakeholders and global teams Entrepreneurial mindset and the ability to build a market from scratch with limited local resources initially Patient yet persistent approach to long enterprise sales cycles, while maintaining momentum Preferred qualifications Experience selling directly into large Indian banks, insurers, or financial conglomerates Relationships with Indian system integrators such as TCS, Infosys, Wipro, and HCL, particularly their BFSI practices Familiarity with Indian business groups and conglomerates, and how decisions flow within these complex organizations Track record of first-in-market roles or launching new products in India Domain expertise in areas critical to Indian financial services, such as UPI payments, core banking systems, KYC/AML compliance, Aadhaar integration, or insurance underwriting Knowledge of government initiatives such as Digital India and their impact on financial sector technology adoption Experience navigating public sector bank and PSU sales processes is a plus 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: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The Engineering & Data team plays a key role in Voodoo's long-term strategy. It enables Voodoo to both accelerate product diversification and provide a state of the art growth-engine to distribute and scale our games. They create innovative solutions that drive growth with a pragmatic approach, ranging from simple searching to complex machine learning systems. ROLE We’re looking for a Senior Security Engineer to join our Engineering & Data team. In this role, you’ll be responsible for a wide variety of topics: - Security Engineering & Guardrails: Architect, construct, and maintain automated security guardrails and paved paths to foster secure-by-default development environments. - Shift-Left Architecture Guidance: Collaborate with development teams during the early ideation and design phases to embed secure coding practices and architecture from inception. - Continuous & Automated Assessment: Develop automated, continuous assessment capabilities that replace manual reviews and scale seamlessly across the business unit. - Hands-on Code Contribution: Work directly alongside engineers to contribute code for security fixes and paved-path solutions, ensuring security remains the simplest route. - Self-Service Tooling: Partner with developers to build scalable, self-service security tools that empower teams to detect and remediate risks independently. - Preventive & Detective Controls: Implement robust preventive and detective controls to deliver ongoing assurance rather than point-in-time security checks. - Strategic Collaboration & Incident Response: Drive long-term security strategy with key stakeholders while actively participating in periodic on-call rotations for incident support. - AI-Driven Security Innovation: Utilize AI technologies and methodologies to streamline threat detection, accelerate security evaluations, and advance scalable system protection. PROFILE (MUST HAVE) - 5+ years of experience troubleshooting systems, analyzing logs, and automating complex tasks via command-line tools - 5+ years of experience identifying security vulnerabilities, assessing risks, and constructing mitigation strategies - 5+ years of hands-on experience with scripting, software development, and security-focused code reviews across standard programming languages - Demonstrated expertise in recognizing industry-standard security vulnerabilities, understanding threat vector patterns, and applying effective remediation techniques - Proven track record in a leadership or guidance role, such as a technical lead, mentor, or engineering team lead - Proficiency in applying threat modeling and comprehensive risk identification methodologies - Proven track record securing microservices, service-oriented architectures, and web services - Experience with identity provider servers and authentication protocols (such as OAuth2, OIDC, SAML) - Experience with penetration testing (pentest) and vulnerability assessments - Self-starter with strong ownership, accountability, and ability to work autonomously and collaboratively across teams and organizations in a fast-paced environment. PROFILE (NICE TO HAVE) - Advocate for security standards with clarity and empathy. - Familiarity with AI/ML workflows and agents. OUR STACK Terraform, Kubernetes, Prometheus, ArgoCD, CircleCI, GitHub Actions, Atlantis, Grafana, Claude Code, Trivy, Conftest / OPA, AWS IAM Identity Center (SSO), Okta, AWS Secrets Manager, AWS KMS, AWS WAFv2, AWS Shield, AWS ACM, AWS GuardDuty, Sealed Secrets, Kyverno, cert-manager BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: Austin, Texas, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Tavily by Nebius is looking for a Commercial Legal Counsel with experience in technology transactions and privacy to join our Legal team. You’ll take ownership of commercial agreements that support Tavily’s global business, partner closely with our Go-to-Market teams, and help ensure compliance with applicable privacy and data protection requirements. You’ll also help shape the legal templates, processes, and guidance that support our continued growth. This is an opportunity to combine hands-on deal ownership with broader work across technology, AI, privacy, and international transactions. What you’ll do Lead commercial negotiations. Draft, review, and negotiate customer, SaaS, reseller, service level, vendor, and partnership agreements. Partner with Go-to-Market teams. Help move customer deals forward by offering clear advice that balances business goals and legal risk. Support privacy and data protection. Negotiate data processing agreements (DPAs) and help strengthen Tavily’s privacy program across relevant markets. Manage complex transactions. Coordinate cross-border negotiations involving multiple internal and external stakeholders. Make legal guidance practical. Translate commercial, privacy, and intellectual property considerations into actionable recommendations. Build for scale. Improve contract templates, negotiation playbooks, and legal workflows to make recurring work more efficient and consistent. What you’ll bring A J.D., LL.B., or equivalent law degree and admission to practice in the United States, an EU member state, or Israel. 4+ years of relevant legal experience at a law firm, a technology company, or a combination of both. Experience independently drafting and negotiating technology and commercial agreements, including complex enterprise customer contracts. Practical experience with DPAs and privacy requirements such as GDPR and California and other U.S. state privacy laws. Working knowledge of intellectual property and copyright issues relevant to technology agreements. Sound commercial judgment, careful drafting, and the ability to explain legal issues clearly to business partners. The ability to prioritize competing deadlines and manage negotiations with multiple stakeholders. Helpful, but not required Experience supporting a SaaS or AI business. A combination of law firm and in-house experience. Familiarity with AI regulation. Experience negotiating data purchasing or licensing agreements. Experience building legal processes in a growing technology company. Why join Tavily: Meaningful ownership: Lead negotiations that directly support the business. Close business partnership: Work alongside commercial teams on customer and partner relationships. An opportunity to build: Help shape the legal tools and processes the company uses as it grows. Exposure to evolving issues: Work at the intersection of technology, AI, privacy, and commercial law. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Compensation: In addition to base salary, this role includes bonus and equity. ##LI-CS1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $206,400 — $258,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New York, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Tavily by Nebius is looking for a Commercial Legal Counsel with experience in technology transactions and privacy to join our Legal team. You’ll take ownership of commercial agreements that support Tavily’s global business, partner closely with our Go-to-Market teams, and help ensure compliance with applicable privacy and data protection requirements. You’ll also help shape the legal templates, processes, and guidance that support our continued growth. This is an opportunity to combine hands-on deal ownership with broader work across technology, AI, privacy, and international transactions. What you’ll do Lead commercial negotiations. Draft, review, and negotiate customer, SaaS, reseller, service level, vendor, and partnership agreements. Partner with Go-to-Market teams. Help move customer deals forward by offering clear advice that balances business goals and legal risk. Support privacy and data protection. Negotiate data processing agreements (DPAs) and help strengthen Tavily’s privacy program across relevant markets. Manage complex transactions. Coordinate cross-border negotiations involving multiple internal and external stakeholders. Make legal guidance practical. Translate commercial, privacy, and intellectual property considerations into actionable recommendations. Build for scale. Improve contract templates, negotiation playbooks, and legal workflows to make recurring work more efficient and consistent. What you’ll bring A J.D., LL.B., or equivalent law degree and admission to practice in the United States, an EU member state, or Israel. 4+ years of relevant legal experience at a law firm, a technology company, or a combination of both. Experience independently drafting and negotiating technology and commercial agreements, including complex enterprise customer contracts. Practical experience with DPAs and privacy requirements such as GDPR and California and other U.S. state privacy laws. Working knowledge of intellectual property and copyright issues relevant to technology agreements. Sound commercial judgment, careful drafting, and the ability to explain legal issues clearly to business partners. The ability to prioritize competing deadlines and manage negotiations with multiple stakeholders. Helpful, but not required Experience supporting a SaaS or AI business. A combination of law firm and in-house experience. Familiarity with AI regulation. Experience negotiating data purchasing or licensing agreements. Experience building legal processes in a growing technology company. Why join Tavily: Meaningful ownership: Lead negotiations that directly support the business. Close business partnership: Work alongside commercial teams on customer and partner relationships. An opportunity to build: Help shape the legal tools and processes the company uses as it grows. Exposure to evolving issues: Work at the intersection of technology, AI, privacy, and commercial law. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Compensation: In addition to base salary, this role includes bonus and equity. ##LI-CS1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $206,400 — $258,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Sydney, Australia 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 Head of Customer Success, APAC at Anthropic, you will build and lead our Customer Success function across Asia Pacific. You will scale a team of managers and CSMs who help our most strategic APAC customers realize the full value of Claude. This is a foundational leadership role: you will establish how we run CS in the region, hire and develop a multi-market team of managers, and partner closely with your global counterparts to deliver a globally consistent customer experience while localising where it matters. APAC is not one market. You will lead across India, Japan, Korea, ASEAN, and Australia and New Zealand (ANZ), each with its own buying culture, regulatory context, language needs and pace of AI adoption. You will work hand-in-hand with global GTM, Product and Engineering leaders to shape our APAC CS strategy, take APAC customer priorities back into the business, and drive adoption, retention and growth across some of the most exciting markets in the world. Key responsibilities Build and lead a multi-layered Customer Success organisation across APAC, managing managers and scaling the team responsibly as our APAC business grows. Define and execute the APAC CS strategy in close partnership with global CS leadership, aligning with the global agenda while localising approach, motion and programmes for APAC market dynamics. Own CS business outcomes including customer health, retention, expansion and satisfaction across APAC accounts. Hire, develop and coach a high-performing team of CS managers and individual contributors, building a culture that reflects Anthropic's values across Asia's diverse geographies, languages and working cultures. Partner with global CS, Sales, Product and Engineering teams so the voice of APAC customers reaches decision-making forums. Establish scalable processes, playbooks and operating cadences that work across APAC time zones (India to Japan, Korea and ANZ) and overlap responsibly with global teams. Represent Anthropic with senior customer stakeholders across APAC, leading executive engagements, QBRs and strategic account conversations with enterprises, digital natives, startups and public sector bodies. Build strong working relationships with APAC channel and cloud partners, and with systems integrators and consulting firms that shape enterprise AI adoption in the region. Contribute to global CS strategy as a senior leader, bringing an APAC perspective to team planning, segmentation and prioritisation. Help shape how we deploy AI responsibly with customers across APAC's varied regulatory environments, including data residency, privacy and sector rules in markets such as India, Japan, Korea, Singapore and Australia. Minimum qualifications 15+ years of experience in management consulting, technology consulting, professional services or customer-facing advisory roles, with a track record of advising senior client executives on complex transformation programmes. Experience building and leading multi-market Customer Success or Technical Success organisations, including managing managers Track record of scaling CS teams across APAC at enterprise software, SaaS or AI/ML companies Demonstrated ability to balance global alignment with regional localisation across multiple APAC markets and cultures. Strong people leadership: a clear philosophy on hiring, coaching and developing managers and senior ICs. Experience owning enterprise customer relationships and driving measurable business outcomes (retention, expansion, adoption) in APAC markets. Strong executive presence and the ability to represent a company credibly with C-suite stakeholders across APAC. Excellent cross-functional partnership skills, particularly working across time zones with global leadership teams. Preferred qualifications Experience leading Customer Success across APAC Working fluency in an APAC language (for example Japanese, Korean or an ASEAN language) or a strong record of leading teams that operate in those languages Experience standing up a CS function in a new APAC market from the ground up Background in API products, developer platforms or consumption-based business models Familiarity with AI/ML technologies and the ability to explain complex technical concepts to business audiences Experience working with APAC hyperscaler, channel and SI partners on joint customer delivery Track record of influencing global product roadmaps through structured customer feedback from APAC markets Passion for responsible AI development and deployment 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: London, UK 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 building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end to end, from statement of work (SOW) through production deployment. As a Manager of Technical Deployment in EMEA, you lead a team of TDLs embedded with strategic customers. You own engagement portfolio health across your team, set the bar for delivery quality, and define where we play: which customers and which use cases are ready for production AI today. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the region. This role is based in London. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in front of executive sponsors. You will also lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs. Responsibilities Hire, develop, and retain a team of TDLs embedded in engagements across EMEA. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interview loop that holds that bar. Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room. Define the delivery strategy for your portfolio: which kinds of companies we engage, which use cases we prioritize, and how that differs by market and industry. Hold each TDL accountable for a clear account strategy: what we want to achieve with the customer and the exit gates that tell us we got there. Own portfolio health across your team. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team. Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic with senior business, risk, legal, and engineering leaders. Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes. Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from SOW through production deployment. Set the bar for delivery excellence: SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story. Build regulatory requirements into how the team scopes and delivers, working with Legal, Security, and customer risk functions, so compliance shapes the plan from the start rather than blocking it late. Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale, and adapt global playbooks to EMEA markets. Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on EMEA go-to-market materials, reference cases, and positioning. Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and feed the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes. Bring the field back to Anthropic. Surface delivery lessons and emerging use cases from EMEA to Product and Research, and represent the region in leadership discussions. Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments. Travel to customer sites across EMEA (25–50% expected), with occasional travel to the US. You May Be a Good Fit If You Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher and moved into deployments, with at least 3 years directly managing people who owned delivery outcomes. Have a track record of building and leading technical delivery teams in enterprise environments across more than one EMEA market, ideally including embedded or forward-deployed teams working at client sites. Have delivered AI/ML or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Bring depth in at least one industry (e.g., financial services, healthcare and life sciences). You understand how security, compliance, and regulatory review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering. Know the EMEA enterprise landscape: how buying and procurement differ across markets, and how regulatory requirements affect what customers can deploy. Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement. Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage. Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team. Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Working proficiency in a second European language such as German or French is a plus. 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: £190,000 — £230,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role The Head of Employee Relations will define and lead our global approach to employee relations and performance management. Combining strategic leadership with operational expertise, the role will ensure employee matters are handled consistently, fairly and within applicable legal requirements. The role will build effective relationships with works councils and other employee representative bodies and partner closely with senior leaders, People teams and employment lawyers. Responsibilities Employee Relations and Performance Management strategy and governance Define and implement the organisation’s employee relations and performance management strategy, principles and operating model. Define the organisation’s approach to performance management, including the effective management of underperformance. Establish clear, practical policies, processes and templates for performance concerns, grievances, disciplinary matters and other employee relations cases. Provide senior oversight and advice on complex, sensitive or high-risk cases. Help managers address concerns early, set clear expectations and reach fair, proportionate outcomes. Ensure practices are applied consistently while accommodating local legal requirements. Identify recurring themes and recommend preventative or organisation-wide action. Partner with relevant People teams to align employee relations and performance practices with the broader talent and reward strategy. Works Council and employee representation Build constructive relationships with works councils, employee forums and other representative bodies. Define the organisation’s approach to engaging, informing and consulting with employee representatives. Advise leaders on consultation requirements, timelines and communications, particularly during organisational change. Support consultation and negotiation processes and ensure agreed actions are implemented. Build internal capability so that leaders and People teams engage with representative bodies confidently and consistently. Legal and risk management Partner with in-house and external employment lawyers to ensure decisions and processes operate within applicable legal thresholds. Translate legal advice into clear and commercially practical recommendations. Monitor relevant employment law developments and update organisational practices where required. Identify and manage the legal, financial and reputational risks associated with employee matters. Leadership and capability Act as a trusted advisor to senior leaders, People partners and Legal. Build manager and People-team capability through clear guidance, training and coaching. Establish appropriate case-management, governance and reporting standards. Use case data and employee insights to identify trends, risks and areas for improvement. What you bring Significant senior-level experience in employee relations, employment law, HR or a related discipline. Experience defining and implementing an employee relations strategy or operating model. Strong knowledge of performance management, investigations, disciplinary and grievance processes, organisational change and dispute resolution. Experience working with works councils, employee representatives or trade unions, ideally across multiple jurisdictions. Strong employment law knowledge and experience working with internal or external legal counsel. Sound judgement and the ability to balance legal risk, employee experience, organisational values and commercial priorities. Strong influencing, negotiation and stakeholder-management skills. Comfortable working both strategically and hands-on with complex cases. Experience leading a team or specialist function is desirable. What success looks like Employee relations and performance matters are handled consistently, fairly and efficiently. Managers and People teams have clear, practical guidance and tools. Works council and employee representative relationships are constructive and well managed. Legal and organisational risks are identified early and managed appropriately. Employee relations insights lead to meaningful improvements across the organisation. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. PROOF OF WORK   THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration. This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving — prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools. You’ll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.   THE OPPORTUNITY - Build and ship AI-powered agent systems that automate internal workflows and decision paths - Design and implement inference pipelines that reason over user interactions across internal systems - Prototype quickly to validate agent behaviors, then productionize what proves valuable - Architect backend services that integrate with multiple internal APIs and data sources - Define patterns for safe, observable, and controllable agent execution - Collaborate cross-functionally to identify high-leverage automation opportunities - Improve system speed, reliability, and signal quality as usage scales - Contribute to foundational design decisions for a 0→1 agent platform   SKILLS YOU SHOULD HODL - 5+ years of experience building and shipping production software systems - Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability) - Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces - Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production - Ability to prototype rapidly while maintaining a clear path to production-grade architecture - Strong systems thinking — able to reason about orchestration, failure modes, and observability - Comfort operating in ambiguous, 0→1 environments with high ownership   NICE TO HAVES - Experience building or operating agent-based systems or autonomous workflows - Familiarity with prompt engineering, evaluation frameworks, or model performance tuning - Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.) - Background in building developer platforms or internal tooling - Experience designing guardrails, sandboxing, or safety layers for AI systems Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. PROOF OF WORK   THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration. This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving — prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools. You’ll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.   THE OPPORTUNITY - Build and ship AI-powered agent systems that automate internal workflows and decision paths - Design and implement inference pipelines that reason over user interactions across internal systems - Prototype quickly to validate agent behaviors, then productionize what proves valuable - Architect backend services that integrate with multiple internal APIs and data sources - Define patterns for safe, observable, and controllable agent execution - Collaborate cross-functionally to identify high-leverage automation opportunities - Improve system speed, reliability, and signal quality as usage scales - Contribute to foundational design decisions for a 0→1 agent platform   SKILLS YOU SHOULD HODL - 5+ years of experience building and shipping production software systems - Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability) - Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces - Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production - Ability to prototype rapidly while maintaining a clear path to production-grade architecture - Strong systems thinking — able to reason about orchestration, failure modes, and observability - Comfort operating in ambiguous, 0→1 environments with high ownership   NICE TO HAVES - Experience building or operating agent-based systems or autonomous workflows - Familiarity with prompt engineering, evaluation frameworks, or model performance tuning - Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.) - Background in building developer platforms or internal tooling - Experience designing guardrails, sandboxing, or safety layers for AI systems       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: London, United Kingdom; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role The Head of Employee Relations will define and lead our global approach to employee relations and performance management. Combining strategic leadership with operational expertise, the role will ensure employee matters are handled consistently, fairly and within applicable legal requirements. The role will build effective relationships with works councils and other employee representative bodies and partner closely with senior leaders, People teams and employment lawyers. Responsibilities Employee Relations and Performance Management strategy and governance Define and implement the organisation’s employee relations and performance management strategy, principles and operating model. Define the organisation’s approach to performance management, including the effective management of underperformance. Establish clear, practical policies, processes and templates for performance concerns, grievances, disciplinary matters and other employee relations cases. Provide senior oversight and advice on complex, sensitive or high-risk cases. Help managers address concerns early, set clear expectations and reach fair, proportionate outcomes. Ensure practices are applied consistently while accommodating local legal requirements. Identify recurring themes and recommend preventative or organisation-wide action. Partner with relevant People teams to align employee relations and performance practices with the broader talent and reward strategy. Works Council and employee representation Build constructive relationships with works councils, employee forums and other representative bodies. Define the organisation’s approach to engaging, informing and consulting with employee representatives. Advise leaders on consultation requirements, timelines and communications, particularly during organisational change. Support consultation and negotiation processes and ensure agreed actions are implemented. Build internal capability so that leaders and People teams engage with representative bodies confidently and consistently. Legal and risk management Partner with in-house and external employment lawyers to ensure decisions and processes operate within applicable legal thresholds. Translate legal advice into clear and commercially practical recommendations. Monitor relevant employment law developments and update organisational practices where required. Identify and manage the legal, financial and reputational risks associated with employee matters. Leadership and capability Act as a trusted advisor to senior leaders, People partners and Legal. Build manager and People-team capability through clear guidance, training and coaching. Establish appropriate case-management, governance and reporting standards. Use case data and employee insights to identify trends, risks and areas for improvement. What you bring Significant senior-level experience in employee relations, employment law, HR or a related discipline. Experience defining and implementing an employee relations strategy or operating model. Strong knowledge of performance management, investigations, disciplinary and grievance processes, organisational change and dispute resolution. Experience working with works councils, employee representatives or trade unions, ideally across multiple jurisdictions. Strong employment law knowledge and experience working with internal or external legal counsel. Sound judgement and the ability to balance legal risk, employee experience, organisational values and commercial priorities. Strong influencing, negotiation and stakeholder-management skills. Comfortable working both strategically and hands-on with complex cases. Experience leading a team or specialist function is desirable. What success looks like Employee relations and performance matters are handled consistently, fairly and efficiently. Managers and People teams have clear, practical guidance and tools. Works council and employee representative relationships are constructive and well managed. Legal and organisational risks are identified early and managed appropriately. Employee relations insights lead to meaningful improvements across the organisation. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — Развивать и сопровождать инфраструктуру AI-платформы. — Разворачивать и поддерживать сервисы в Kubernetes. — Контейнеризировать приложения и инфраструктурные компоненты с использованием Docker. — Разрабатывать и поддерживать CI/CD-пайплайны. — Автоматизировать рутинные операции с помощью Python и Bash. — Работать с ArgoCD и IaC-инструментами. — Настраивать мониторинг, логирование и health-checks. — Работать с persistent storage и S3/object storage. — Участвовать в эксплуатации AI/ML-сервисов и LLM inference, администрировать AI системы. — Постепенно осваивать GPU-инфраструктуру и особенности запуска AI-сервисов на GPU. — Участвовать в развитии внутренних стандартов deployment и эксплуатации AI-сервисов. — Разбираться в инцидентах и самостоятельно доводить технические задачи до результата. — Взаимодействовать с архитекторами, разработчиками, специалистами по кибербезопасности, ML-инженерами и системными администраторами. Требования: — Уверенное владение Linux и командной строкой. — Практический опыт с Docker и Docker Compose. — Базовый практический опыт работы с Kubernetes. — Понимание основных Kubernetes-объектов: Pod, Deployment, Service, ConfigMap, Secret, Ingress, PVC. — Опыт работы с Git. — Понимание принципов CI/CD и практический опыт работы хотя бы с одним CI/CD-инструментом. — Bash на уровне написания небольших скриптов автоматизации. — Python на уровне написания automation scripts и небольших сервисных утилит. — Базовое понимание сетей: TCP/IP, DNS, HTTP/HTTPS. — Понимание принципов мониторинга и логирования. — Понимание разницы между файловым, блочным и объектным хранилищем. — Понимание базовых принципов работы AI/ML-сервисов: model, training, inference, embeddings, LLM. — Понимание базовых принципов применения мер защиты от киберугроз. — Будет плюсом: Helm, Ansible, ArgoCD / GitOps, Prometheus / Grafana / Loki, S3 / MinIO, PostgreSQL / Redis, опыт работы с GPU и NVIDIA, NVIDIA Container Toolkit / CUDA, vLLM, SGLang, Triton или другие inference engines, MLflow, Airflow, Kubeflow или другие MLOps-инструменты, RAG, vector databases, embeddings, непосредственный опыт эксплуатации AI/ML или LLM-сервисов, опыт работы в инфраструктурной или DevOps-команде, опыт эксплуатации production-систем, опыт работы с on-premise инфраструктурой, опыт работы с Linux-серверами и Kubernetes-кластерами, понимание принципов отказоустойчивости и масштабирования. — Английский язык на уровне чтения технической документации. — Не требуется глубоких знаний ML и разработки нейронных сетей. — Не требуется самостоятельно обучать модели или разрабатывать ML-алгоритмы. — Важнее хорошая инженерная база, способность самостоятельно разбираться в проблемах и готовность постепенно углубляться в AI infrastructure. Условия: — Стабильный и прозрачный доход: размер заработной платы обсуждается по итогам собеседования + премия по результатам KPI. — Сложные и интересные задачи, современный стек технологий. — Забота о здоровье: программа ДМС с первых дней работы, включая стоматологию и обслуживание в лучших клиниках города. — Возможность вертикального и горизонтального карьерного роста: регулярные тренинги, вебинары, митапы и демо-дни. — Корпоративные предложения от партнёров группы АЛЬФА-БАНК. — Бесплатная мобильная связь Альфа-Мобайл.

Задачи: — Разработка детальных планов реализации проектов: декомпозиция задач, распределение ресурсов, определение критического пути; — Контроль соблюдения сроков, бюджета и качества результатов по всем активным проектам; — Организация и ведение операционной деятельности команды: дейли-митинги, спринт-планирования, ретроспективы, проведение демо для заказчика; — Постановка задач ML-инженерам, Data Scientists и DevOps-специалистам; — Контроль качества и сроков исполнения; — Сбор и формализация бизнес-требований, перевод бизнес-проблем в технические задачи с определением метрик эффекта и критериев приёмки; — Управление ожиданиями стейкхолдеров: регулярные статус-отчёты, презентации результатов, обоснование технических решений; — Организация процессов тестирования, валидации и мониторинга ML-моделей в продуктовой среде; — Защита метрик качества перед заказчиком; — Ведение проектной документации в соответствии с принятыми стандартами и регламентами компании. Требования: — 7+ лет общего опыта в IT-проектах, из них не менее 3 лет — в управлении проектами с применением AI/ML (LLM/NLP, NLP, CV или оптимизационное моделирование); — Подтверждённый опыт управления кросс-функциональными командами; — Опыт ведения переговоров с корпоративными заказчиками и защиты результатов проектов; — Полный цикл управления проектом: планирование, постановка задач, контроль сроков, бюджета и качества; — Умение переводить бизнес-проблемы в технические задачи: формулировка AI гипотез, определение метрик успеха, критерии приёмки; — Опыт оценки трудозатрат для комплексных AI-проектов, включая работы по разметке данных, обучению моделей и MLOps-инфраструктуре; — Управление рисками и изменениями: выявление, оценка, приоритизация, разработка планов митигации; — Инструменты управления: Jira, Confluence или аналоги для трекинга задач, ведения документации и управления бэклогом; — Понимание полного жизненного цикла ML-проекта: сбор данных, разметка, обучение, валидация, деплой, мониторинг; — Понимание принципов работы LLM, GenAI, RAG и агентных систем — на уровне, достаточном для оценки рисков и постановки задач команде; — Понимание принципов MLOps: CI/CD для моделей, версионирование данных, автоматизация пайплайнов. Будет плюсом: — Опыт внедрения AI-решений в регулируемых отраслях (нефтегаз, финансы, государственный сектор); — Понимание архитектуры данных: хранилища данных, data pipelines, feature store; — Опыт формирования и масштабирования AI-команд; — Базовые знания SQL для самостоятельной работы с данными и понимания задач команды. Условия: — График работы: 5/2 с 09:00 до 18:00 (в пятницу до 16:45); — Работа в аккредитованной Минцифры ИТ-компании; — Конкурентоспособная заработная плата (обсуждается по результатам собеседования); — Соцпакет: программа ДМС со стоматологией, корпоративная мобильная связь, санаторно-курортное лечение; — Возможность расти как вертикально, так и повышать уровень своих профессиональных и деловых компетенций; — Внутреннее обучение: конференции, тренинги, мастер-классы, корпоративный университет; — Внешнее обучение по направлению профессиональной деятельности; — Возможность присоединиться к спортивным командам по мини-футболу, баскетболу, волейболу или чирлидингу; — Корпоративная электронная библиотека; — Комфортный офис в бизнес-центре «NordStar» с удобным расположением (5 мин пешком от метро «Беговая», МЦД-1).

Location: Palo Alto, California, United States, San Francisco, California, United States Director of Engineering, Clinical AI & Care Delivery Location: San Francisco Bay Area | Hybrid, 2 days/week in our San Francisco or Palo Alto office About Midi Health: Midi Health is transforming healthcare for women in midlife, delivering expert, personalized care through a virtual-first platform built around the needs of women in perimenopause and menopause. Technology is central not only to the patient experience, but to how our clinicians deliver exceptional care at scale. We believe AI will fundamentally reshape care delivery — reducing administrative burden, improving clinical workflows, and giving providers better tools to focus their time where it matters most: with patients. The Role: We’re looking for a Director of Engineering, Clinical AI & Care Delivery to lead the engineering teams behind the systems and tools that power Midi’s clinicians, medical assistants, and care workflows. This is a true player-coach role at the intersection of AI, healthcare, and software engineering. You’ll lead and develop a high-performing engineering team while staying close to the technology — shaping architecture, reviewing code, experimenting with AI and agentic systems, and helping your team solve complex problems. You’ll also be a senior engineering partner to Product, Clinical, Operations, Data Science, and other leaders across Midi. We expect our engineering leaders to think beyond their immediate teams and help shape how technology and AI can transform care delivery as Midi scales. What You’ll Own: Lead the engineering roadmap and execution for Midi’s clinician-facing tools, care delivery systems, clinical workflows, and AI-powered automation. Identify opportunities to use AI and agentic systems to automate workflows, augment clinicians, and improve the efficiency and quality of care delivery. Build and lead high-performing engineering teams with a culture of ownership, accountability, speed, and high technical standards. Stay hands-on through architecture decisions, code reviews, prototyping, and AI-assisted development. Partner closely with Product, Clinical, Operations, and Data Science to translate complex care delivery problems into scalable technical solutions. Drive engineering quality, velocity, reliability, and operational health across your area. Hire, mentor, and develop engineers and engineering leaders as the organization grows. Collaborate with engineering leaders across Midi on architecture, technical strategy, and company-wide engineering priorities. Help define how Midi uses AI and modern development tools to fundamentally rethink how healthcare is delivered. What We’re Looking For: Deep software engineering foundation. You’ve spent meaningful time as a senior individual contributor building sophisticated applications and systems. Proven engineering leadership. You have 5+ years of engineering management experience and have led organizations of 10+ engineers. Player-coach mindset. You’re comfortable operating at the leadership level while remaining technically credible and close enough to the work to help your team make better decisions. Applied AI experience. You’ve recently used AI coding agents or AI/LLM technologies to build something meaningful and have a practical understanding of what these technologies can — and cannot — do. Strong systems thinking. You can take complex, multi-step human workflows and think creatively about how technology and AI can make them dramatically better. Executive-level communication and judgment. You can confidently partner with senior technical, clinical, and operational leaders and communicate complex tradeoffs clearly. Exceptional cross-functional instincts. You naturally build trust with stakeholders who may approach problems very differently from an engineer. First-principles thinking. You ask the right questions, communicate clearly, and align early rather than building in isolation. Strong ownership mindset. You close loops, take accountability for outcomes, and step into problems rather than waiting for someone else to solve them. Nice to Have: Experience with AI/ML engineering, LLM-powered products, agentic systems, or workflow automation. Experience building internal tools or software for complex operational users. Experience with Python, Django, React, and AWS. Experience in healthcare or another highly regulated environment. Familiarity with EHRs such as Athenahealth, clinical workflows, or HIPAA-regulated systems. Experience building AI products where accuracy, reliability, human oversight, and trust are critical. Why Midi: This is an opportunity to work at the frontier of AI and healthcare while solving very real problems for clinicians and patients today. You’ll help determine how Midi uses technology to scale exceptional care — from automating repetitive workflows to building entirely new ways for clinicians and AI to work together. If you’re excited about building exceptional engineering teams, staying close to the technology, and applying AI to some of healthcare’s hardest operational problems, we’d love to hear from you. At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $230,000-325,000 per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company, We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process. #li-JA1 At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs. Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com . Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history. Please find our CCPA Privacy Notice for California Candidates here .

Задачи: — Владение стратегической областью AI-продукта от начала до конца: стратегия, дорожная карта, исследование, доставка и бизнес-результаты. — Тесное сотрудничество с командами инженерии, клиники и операций для формирования поведения AI в продакшене, проведения экспериментов и улучшения качества, безопасности и надежности продукта. Требования: — Опыт в управлении продуктом 5+ лет, включая 2+ года в роли AI PM с выпуском AI/ML продуктов в продакшен. — Владение полным циклом продукта с измеримым бизнес-эффектом. — Глубокое понимание prompt engineering, оценки AI, режимов сбоев и непрерывного улучшения качества. — Опыт валидации гипотез, проведения экспериментов и принятия решений на основе данных. — Сильные аналитические навыки, умение приоритизировать и управлять заинтересованными сторонами. — Уверенность в обсуждении технической реализации с инженерными командами. — Профессиональное владение русским и английским языками, включая опыт общения с носителями. — Наличие доступности по CET/CEST. — Готовность к долгосрочному B2B сотрудничеству с использованием личного оборудования. — Опыт в здравоохранении, операционной автоматизации, поддержке клиентов или оптимизации рабочих процессов будет плюсом. Условия: — Владение стратегической областью AI-продукта, автономия, полностью удаленная B2B работа. — Конкурентная компенсация и возможности для роста. — Медицинская страховка после испытательного срока, компенсация на оздоровление. — 22 рабочих дня отпуска + 4 дня на оздоровление. — Оплачиваемый больничный. — Уроки английского языка через Preply.

Talablar: — High-load backend servislar bilan ishlash — Katta hajmdagi ma’lumotlar bilan ishlash — Davlat tizimlari bilan integratsiya qila olish — AI/ML va RAG/LLM servislar, monitoring va testlar qila olish — Kamida 4 yil commercial tajriba, shundan 2 yil Go bilan production tajribasi talab qilinadi Shartlar: — Ish turi: 9:00-18:00, offline 5/2 Kompaniya haqida: — Milliy statistika qo‘mitasi huzuridagi Raqamli statistika markazi

Общие требования: • Опыт: от 5+ лет в AI/ML, из них не менее 3 лет — в роли тимлида; • Уровень: senior/lead ML engineer + опыт управленца (Tech Lead / AI Team Lead); • Способность вести проекты от идеи до внедрения, включая исследование, архитектуру, разработку, деплой и мониторинг. • Управление распределённой командой. Глубокие технические компетенции: 1. Распознавание финансовых документов (Document AI) 2. Vision-Language Models (VLM) 3. Разработка чат-ботов и интеллектуальных агентов 4. OSINT и глобальный поиск 5. Работа с веб-сайтами через Computer User Agent 6. Разработка локальных переводчиков Условия: Локация сотрудника не в РФ Удаленный формат работы из любой точки мира График с 10.00 до 19.00 по мск Выплаты два раза в месяц