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Location: London Perplexity is revolutionizing how people discover and interact with information through AI-powered search and knowledge tools. As we expand our global footprint, we're establishing a strategic presence in London to drive innovation and growth across Europe. The Role: We're seeking an exceptional Site Lead to establish and scale our London office. This is a unique opportunity to shape Perplexity's presence in one of the world's leading tech hubs, building teams and culture from the ground up while driving technical excellence in infrastructure and AI systems. As Site Lead, you'll serve as the face of Perplexity in London, responsible for building our technical organization, fostering a world-class engineering culture, and directly managing one or more infrastructure teams. You'll report to senior leadership and work cross-functionally with teams across our global footprint.   The individual in this role will manage teams in LON themselves while also facilitating.   Responsibilities: Site Leadership & Culture - Establish and lead Perplexity's London office, setting the cultural foundation and operating principles - Build a collaborative, high-performance engineering culture that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem - Serve as the primary point of contact for all London-based activities and represent the site in company-wide strategic discussions - Partner with People/HR, Finance, and Operations to ensure seamless site operations - Drive local community engagement, partnerships, and Perplexity's brand presence in the London and European tech community   Technical Leadership: - Directly manage and mentor one or more infrastructure or AI infrastructure teams in London (5-15+ engineers) - Set technical direction and strategy for London-based infrastructure initiatives in alignment with company-wide goals - Drive architectural decisions and technical excellence across teams - Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads - Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives   Team Building & Talent: - Build and scale high-performing infrastructure and AI infrastructure teams through strategic hiring - Develop and execute talent acquisition strategy for the London site in partnership with recruiting - Create career development frameworks and growth opportunities for engineers - Foster technical mentorship and knowledge sharing across teams and sites     Cross-functional Collaboration: - Partner with Product, Engineering, and Research teams globally to understand infrastructure needs and deliver solutions - Coordinate with other site leads and engineering leaders to ensure effective cross-site collaboration - Contribute to company-wide infrastructure strategy and roadmap planning - Facilitate knowledge transfer and best practice sharing across global teams Qualifications: Required - 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles - 3+ years of people management experience, including building and scaling teams - Proven track record of establishing or significantly growing an engineering site or office - Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation - Experience with infrastructure supporting large-scale AI/ML systems, including: - GPU infrastructure and orchestration - ML training and inference pipelines - Model serving and deployment at scale - Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems - Demonstrated ability to set technical vision and drive execution across multiple teams - Excellent communication and stakeholder management skills - Experience working in fast-paced, high-growth technology companies - Passion for building inclusive, diverse, and high-performing teams Preferred - Experience at companies focused on AI/ML, search, or large-scale consumer applications - Previous experience as a site lead, office lead, or similar multi-team leadership role - Background in building infrastructure for LLM training or inference - Contributions to open-source infrastructure or AI infrastructure projects - Experience scaling teams from 0 to 20+ engineers - Active involvement in the London or European tech community - MBA or advanced technical degree What Success Looks Like: 30 Days - Deep understanding of Perplexity's infrastructure, technology stack, and organizational structure - Established relationships with key stakeholders across engineering, product, and leadership - Initial hiring plan and culture strategy for London site established - Help the Search, API, AI and Infra teams build out their hiring pipelines   90 Days - Core infrastructure team established and ramping in London - Clear technical roadmap and priorities defined for London-based teams - Site culture and operating rhythms established (team meetings, all-hands, cross-site syncs) - London office actively participating in company-wide infrastructure initiatives   1 Year - London site operating as a high-functioning hub with 15-30+ engineers - Infrastructure teams delivering measurable impact on system reliability, performance, and scalability - Strong talent brand established in London market with healthy hiring pipeline - London recognized internally as a strategic site contributing to Perplexity's technical leadership   Why Join Perplexity - Ground-floor opportunity to build and lead a strategic site for a fast-growing AI company - Work on cutting-edge AI infrastructure challenges at massive scale - Shape the culture and technical direction of an entire office - Competitive compensation including equity - Comprehensive benefits package - Flexible work environment - Opportunity to make a significant impact on how millions of people access and interact with information Location: London, United Kingdom (Hybrid)  Perplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: New York, NY Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE We are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software. As Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises. This role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value. WHAT YOU’LL DO - Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution. - Lead, coach, and develop a team of enterprise Account Executives. - Build a culture of accountability, customer obsession, strong qualification, and consistent execution. - Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes. - Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions. - Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing. - Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders. - Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities. - Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region. - Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization. - Recruit, onboard, and retain high-performing sales talent as the region grows. WHAT WE’RE LOOKING FOR - 7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams. - Proven track record managing teams that sell complex technical products to enterprise customers. - Experience hiring, coaching, and developing high-performing Account Executives. - Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement. - Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams. - Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built. - Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success. - Excellent communication skills, with the ability to simplify complex technical concepts for different audiences. - High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development. NICE TO HAVE - Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products. - Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development. - Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion. - Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies. - Prior success selling into both digital-native and large enterprise accounts. - Experience working in a highly technical, product-led, or open-source-influenced sales environment. WHY JOIN US AI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems. You’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory. Compensation: $350,000 - $400,000 OTE + Equity COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Manager, Infrastructure Capex Accounting to join our Infrastructure Accounting team. In this role, you will execute day-to-day accounting for Anthropic's owned infrastructure assets — the GPUs, networking equipment, and data center buildouts underpinning our recently announced $50bn investment in American computing infrastructure. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing fixed asset base is accounted for and understood across the business. You will own end-to-end accounting for Anthropic's capex and fixed asset portfolio, working closely with cross-functional partners across Data Center Operations, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 360, and help build the processes, controls, and systems that let this function scale. Responsibilities Own end-to-end accounting for Anthropic's AI infrastructure capex and fixed asset portfolio, including monthly close, construction-in-progress (CIP) tracking, reconciliations, roll-forwards, and flux analysis Apply technical accounting expertise to complex infrastructure arrangements under ASC 360 (capitalization, useful lives, impairment, disposals, and asset retirement obligations) Partner with Data Center Operations, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around asset receipt, deployment, and in-service dates Help design and scale systems, processes, and controls to support a rapidly growing fixed asset portfolio Collaborate with and mentor junior accounting professionals across the Infrastructure Accounting team Serve as a key point of contact with external auditors on fixed asset and capex accounting matters Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting You may be a good fit if you Have 7+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred Possess strong technical accounting knowledge of ASC 360, particularly as applied to infrastructure, data center, or compute-related assets Have hands-on experience with a significant fixed asset portfolio in a high-growth environment Demonstrate strong analytical abilities and comfort working with large, complex datasets Have a track record of improving scalable financial processes in fast-moving environments Have experience mentoring junior accounting professionals Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders Communicate clearly and influence effectively across cross-functional partners Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Strong candidates may have Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure asset structures (including GPU clusters, networking equipment, and data center buildouts) Experience with fixed asset subledger systems at scale SQL proficiency for querying and analyzing large infrastructure and accounting datasets Background in Big 4 accounting or advisory services combined with industry experience Experience with complex data center buildouts or hybrid cloud / on-premise environments Knowledge of AI/ML infrastructure and associated cost structures Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation Proven ability to navigate ambiguity and drive results in rapidly changing environments 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: $160,000 — $190,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Amsterdam, Netherlands; Berlin, Germany; United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: We are looking for a Senior Software Engineer to join the team building the Capacity and Quota Management control plane — the system that decides who gets compute, when, and how much. Idle GPUs are waste. Overallocated ones are a contract you can't keep. Our platform consists of two core components: a capacity reservation engine managing guaranteed GPU reservations and their lifecycle, including rebalancing and auto-reclamation logic; and a Quotas Control Plane that manages quotas across all Nebius services, handles customer quota requests, and runs the algorithms that distribute resources. Both are exposed through APIs that give external customers, internal users, and downstream services visibility and control over their limits. This is a high-ownership role. You will define how Capacity and Quota Management matures, from the technical foundations to the tradeoffs that outlast any single feature. We expect you to have: 5+ years of professional software engineering experience Strong knowledge of Python or willingness to quickly become productive with our technology stack Experience building distributed backend systems and microservice architectures Understanding of distributed transactions, consistency models, and reliable asynchronous workflows Strong communication and ownership mindset 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: Amsterdam, Netherlands; Berlin, Germany; United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: We are looking for a Senior Backend Software Engineer to join our Cloud Monetization Platform team in Amsterdam or remotely. Our platform powers the commercial foundation of Nebius Cloud. Every GPU hour, storage operation, network transfer, reservation, enterprise contract, or customer payment flows through the systems we build before becoming revenue. Unlike traditional billing systems, our platform combines several challenging engineering domains. You'll design clean abstractions for a rapidly evolving business model, build reliable distributed workflows where correctness and consistency are as important as performance, and help shape a modern platform from the ground up. We expect you to have: 5+ years of professional software engineering experience Strong knowledge of Python or willingness to quickly become productive with our technology stack Experience building distributed backend systems and microservice architectures Understanding of distributed transactions, consistency models, and reliable asynchronous workflows Experience designing scalable backend services Strong communication and ownership mindset It would be an added bonus if you had experience building Billing, payments or pricing systems Technology stack: Python, gRPC, Temporal, YDB , Kafka-like messaging, Kubernetes, 25+ microservices. 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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As Developer Relations at Anthropic, you will help developers discover, onboard, and get the most out of Claude Code, Claude Tag, and future developer products. This role is pivotal in helping developers adopt Claude-powered products, growing our developer ecosystem, gathering crucial feedback to inform product development, and ensuring our products are used responsibly, safely, and securely. You'll be a hands-on technical voice for Anthropic's developer community, including partners, customers, and independent developers. Your success in this role will directly shape how developers experience and adopt Claude, helping users adopt new ways of working with Claude and bringing developer feedback back to product and research teams Building strong relationships between our developer community and internal teams will be essential as we advance our mission of creating reliable, interpretable AI that follows human intent. What You'll Do Drive Technical Strategy and Impact Shape how developers discover and engage with Anthropic's developer products (specifically Claude Code and Claude Tag), bringing a strong point of view grounded in hands-on experience and feedback from users. Build frameworks and mechanisms for measuring developer success that align with both business objectives and our mission of safe, beneficial AI Prioritize community and content initiatives based on data, developer feedback, and business needs Partner closely with product and engineering to ensure developer needs inform the roadmap Set the Bar for Developer Relations Craft Help define what world-class AI developer relations looks like in this emerging field Model excellence in technical content, code samples, and developer engagement that others can learn from Contribute to and help evolve the processes and best practices the broader DevRel function relies on Drive Scaled Developer Adoption and Success Understand the diverse needs of developers across segments, from individual hobbyists to enterprise engineering teams Partner with GTM, Sales, and Marketing to support developer-focused campaigns that drive adoption Lead and participate in high-impact developer events, workshops, and community activities that introduce Claude to strategic developer communities Generate high-quality technical content (ex: sample apps, tutorials, documentation, integration guides, and best practices) that demonstrates how to use Claude responsibly and effectively Drive Alignment Through Cross-Functional Collaboration Act as an advocate for developer needs at Anthropic, translating developer feedback into concrete product and content initiatives Collaborate with Research to translate AI capabilities into accessible educational resources Partner with Communications and Marketing to amplify developer success stories Promote best practices for responsible AI use among developers building with Claude About You You have 5+ years of experience in developer relations, developer experience, or technical product/engineering roles, with a track record of shipping content or tools that measurably grew a developer ecosystem You're technically credible. You can deeply understand AI/ML and API concepts and translate complex technical ideas for various audiences, from individual developers to enterprise engineers You have hands-on technical ability. You can write production-quality code demos, critically review developer samples for quality and best practices, and give specific, actionable technical feedback You have real insight into developer psychology and behavior. You know how to reach developers through the right channels, build authentic affinity for products, and design content that drives meaningful adoption You're passionate about AI's potential and deeply committed to ensuring it's developed responsibly, with a genuine interest in AI safety and ethical considerations You're a collaborative contributor who can influence across teams without direct authority, building strong relationships with stakeholders at all levels You've thrived in high-growth environments and can adapt quickly as priorities evolve Nice to Have Experience working specifically with large language models or generative AI Background in AI safety, ethics, or responsible AI development Public speaking experience at industry conferences and events Content creation experience (technical writing, video tutorials, etc.) 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: $290,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Palo Alto, California, 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. Role As a Technical Program Manager in Token Factory, your primary focus will be coordinating complex cross-functional projects, including new model launches, bringing new GPU platforms into production serving, engineering quality and platform-wide improvement projects, and the end-to-end delivery pipeline for new AI models. You will bring together multiple engineering teams, understand the critical path, proactively manage dependencies and risks, and ensure that ambitious technical goals are delivered predictably, on time, and without unnecessary operational overhead. Your responsibilities will include: Leading template and model delivery — from weights through validation to production endpoint. Coordinating model onboarding and production delivery, from infrastructure readiness to successful customer availability. Running the Applied AI / Customer Delivery sync — driving open issues to resolution and unblocking teams between meetings. Coordinating the bring-up of new GPU platforms for serving — engine and kernel readiness, benchmarking against current hardware, and template migration once validated. Partnering with Token Factory Product on the serverless launch path — ensuring validated templates hand off cleanly into catalogue, model card, and public availability. Building and maintaining execution plans, identifying risks early, and ensuring blockers are resolved before they impact delivery. Working closely with engineering managers, technical leads, product managers, SRE, infrastructure, networking, security, and other platform teams. Facilitating technical decision-making and ensuring ownership and accountability across complex cross-team projects. Continuously improving engineering delivery processes within Applied AI's delivery chain to make execution more predictable while maintaining a sustainable pace for engineering teams. Requirements Excellent project management and delivery skills with the ability to break down ambiguous initiatives into executable plans Ability to identify critical paths, manage complex dependency graphs, and coordinate multiple parallel workstreams Strong risk management and prioritization skills, with the ability to make progress in fast-changing environments Excellent written and verbal communication skills in English Comfortable leading incident coordination, facilitating discussions, documenting decisions, and driving follow-up actions Strong technical background that allows you to understand engineering discussions, infrastructure dependencies, and architectural trade-offs without being the primary implementer It will be an added bonus if you have Experience working with GPU infrastructure, AI/ML platforms, or large-scale inference systems Experience delivering cloud infrastructure or data center deployment projects Familiarity with capacity planning, production operations, and reliability engineering Previous experience in high-growth infrastructure or platform engineering organizations where priorities change quickly and execution speed matters 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 $147,200 — $224,000 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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships. Responsibilities Financial Analysis : Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making Deal Structure Optimization : Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests Deal Review and Approval Management : Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications Cross-Functional Coordination : Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals Risk Assessment : Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders Policy Implementation : Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives Process Development : Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls Documentation and Reporting : Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance You may be a good fit if you Have 7+ years of experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows Have experience with CRM systems, CPQ tools, and contract management platforms Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership Strong candidates may also have Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking Experience with deal desk operations at companies with subscription and consumption-based business models Knowledge of enterprise software contract terms and industry-standard commercial practices Understanding of AI business models and the unique commercial considerations 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: $240,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for an experienced Transportation Logistics Specialist to manage the full scope of IT hardware logistics across the APAC region — including racks, servers, GPUs, and other data center equipment. The role focuses on air freight and road transport across APAC, with a primary emphasis on shipments originating from or transiting through Taiwan, and deliveries into key APAC markets including Singapore, India, South Korea, Japan, Malaysia, and additional destinations as the business expands. You will be responsible for day-to-day execution of inbound and outbound shipments, RMA and RMS flows, cross-border customs coordination, and inter-facility transfers within the region. This is a hands-on, operationally focused role requiring deep knowledge of APAC freight markets, strong carrier and forwarder relationships, and the ability to work independently in a fast-paced, global environment. Key Responsibilities Logistics Operations Manage end-to-end transport of IT hardware — rack systems, servers, GPUs, and other data center equipment — across all APAC lanes, including inbound shipments from Taiwan, inter-regional moves, and outbound flows as required. Coordinate air freight and road transport scheduling, carrier and freight forwarder selection, and delivery execution to ensure on-time, damage-free arrival at APAC data center sites. Handle all RMA and RMS shipments within the APAC region, including coordination with vendors, carriers, and internal teams to ensure accurate and timely processing. Manage equipment transfers between company warehouses and data center facilities across the region, optimising routes and minimising handling risk. Maintain full visibility over active shipments across all APAC lanes and proactively resolve transit issues, delays, or exceptions. Develop contingency plans and alternative routing strategies to ensure business continuity. Manage time-critical air freight shipments where required, including carrier selection, booking, and end-to-end tracking to ensure expedited delivery of hardware. Coordination & Documentation Coordinate closely with data center operations teams across APAC to support staging, buffering, and just-in-time hardware deployment. Maintain accurate in-transit inventory records and ensure proper chain-of-custody documentation for all shipments. Manage all shipment-related documentation in relevant systems (Jira, TMS, or equivalent), ensuring records are complete, accurate, and audit-ready. Manage customs documentation and clearance processes for all cross-border shipments within APAC, including imports into Singapore, India, South Korea, Japan, and Malaysia. Process and reconcile logistics invoices; manage payments for transportation operations, including ZIP payments to the appropriate vendors and partners. Work with the security team to establish and maintain secure shipment protocols for high-value hardware across the region. Compliance & Quality Ensure all shipments comply with applicable regulations across APAC jurisdictions, including country-specific import/export requirements, customs procedures, and trade compliance obligations. Manage duties, taxes, and customs declarations for inbound and outbound shipments across the region, ensuring correct classification and valuation of high-value IT hardware. Maintain audit-ready documentation for all logistics activities, supporting internal (SOX) and external compliance requirements. Establish and enforce SLAs and KPIs with freight carriers, forwarders, and 3PL partners; drive accountability through regular performance reviews. Identify and escalate compliance gaps or process deviations, implementing corrective actions as needed. Cross-Functional Collaboration Partner with hardware engineering, procurement, finance, and data center operations to align APAC logistics execution with deployment timelines and business priorities. Collaborate with OEM suppliers based in Taiwan to coordinate international shipping windows, batch tracking, customs documentation, and inbound scheduling into APAC facilities. Act as the primary escalation point for transport-related issues across the APAC region. Work closely with the global transport team to ensure regional operations align with global standards, processes, and reporting requirements. Drive continuous improvement initiatives through KPI tracking, root cause analysis, and process standardisation. Planning & Cost Management Forecast transportation demand across APAC based on data center expansion plans, hardware deployment schedules, and capacity needs. Identify cost optimisation opportunities through carrier consolidation, routing improvements, and smarter scheduling across APAC lanes. Track and report on regional logistics costs, flagging variances and recommending corrective actions. Support data-driven decision-making through regular reporting, dashboards, and operational analytics. Requirements 5+ years of experience in transportation, freight, or logistics management, with a strong focus on international shipping within the APAC region. Deep, hands-on knowledge of APAC freight markets, air freight lanes, and road transport operations — particularly routes involving Taiwan, Singapore, India, South Korea, Japan, and Malaysia. Proven experience managing high-value, time-critical IT hardware shipments — server racks, GPUs, data center equipment, or similar cargo. Strong understanding of customs regulations, import/export procedures, and trade compliance across multiple APAC jurisdictions. Experience managing and negotiating with carriers, freight forwarders, and 3PL partners across the APAC region. Hands-on experience with RMA/RMS shipment processes and reverse logistics flows. Familiarity with TMS platforms, Jira, or similar systems used for shipment tracking and documentation. Excellent organisational and documentation skills with a high standard for accuracy and completeness. Strong communication and stakeholder management skills; ability to work cross-functionally across technical and non-technical teams in a global environment. Self-starter mindset with the ability to operate independently in a remote environment with minimal supervision. Based in the APAC region; Singapore, India, or South Korea preferred. Must be eligible to work in the country of residence. Fluency in English required; additional Asian languages (Mandarin, Korean, Hindi, or similar) are a strong advantage. Nice to Have Experience in a hyperscaler, cloud provider, or large-scale data center build-out environment. Familiarity with ATA Carnet processes and temporary import/export mechanisms for repair and return shipments. Experience with Taiwan-origin shipments and familiarity with Taiwanese export procedures and OEM supplier logistics coordination. Background in supply chain analytics, reporting, or continuous improvement methodologies. Familiarity with physical security protocols for high-value hardware shipments. Experience supporting logistics operations across emerging APAC markets such as Indonesia, Vietnam, or Thailand. 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: Israel 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. About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role: Senior Site Reliability Engineer Managing Kubernetes clusters across multiple environments and regions Owning infrastructure as code for all resources Maintaining and improving CI/CD pipelines and GitOps-based deployments Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors Building out monitoring, alerting, and observability Debugging production issues across services Managing cloud costs and capacity planning Working closely with a small engineering team — you'd own infra, not a slice of it What we're looking for 5-8 years in a DevOps or platform engineering role, working in production environments Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale Strong Kubernetes experience in a managed cloud environment Proficiency with infrastructure as code (Terraform or similar) Experience with GitOps-based deployment workflows Built or maintained observability stacks (logging, metrics, alerting) Experience handling production incidents calmly and methodically Nice to have: Multi-region deployments Search infrastructure Data pipeline experience (streaming, warehousing) Proxy/networking infrastructure at scale Why Tavily? Full ownership — small team, you own the entire infrastructure, not a slice of it Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests AI-native company — your infra directly powers AI agents used by leading companies in the space. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Tel Aviv, Israel 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 Nebius is seeking a deeply experienced Security Analyst - Tier 3 for its Security Operations Center (SOC). This role is a senior individual-contributor position, leading challenging investigations, setting the standards the SOC operates by. This role reports to the SOC Manager, under the Detection and Response function within the CISO Office. Your responsibilities will include: Lead complex, multi-stage, multi-domain investigations end to end, from scoping through deep technical analysis to a clear determination of impact and root cause. Serve as the SOC's senior escalation point and the quality gate for investigations across the team. Support the Incident Response team during confirmed incidents with continued telemetry investigation, scoping, and analytical depth. Continuously sharpen how the SOC investigates, identifying gaps in methods, runbooks, and tooling through daily casework and turning them into concrete improvements. Mentor Tier 1 and Tier 2 analysts through case reviews, coaching, and pairing during investigations. Partner with Security Engineering, Platform Security, Threat Intelligence, SOC Automation, and additional teams to turn what the SOC learns into stronger detection and response across Nebius. Participate in readiness activities - tabletops, post-incident reviews, and purple-team engagements. Participate in the on-call rotation as the senior point of contact outside business hours. We expect you to have: Experience Around 8-10 years of hands-on experience in security operations or incident response, with a track record of leading complex investigations. Technical Expertise Expert-level investigation capability across multiple domains: endpoint, identity, cloud, and network. Solid understanding of cloud-native environments, including containers, Kubernetes. Deep practical fluency with EDR, SIEM query languages, and log analysis. Deep knowledge of Windows and Linux internals, applied to artifact and behavioral analysis. Fluency in attacker TTPs (MITRE ATT&CK), including the Cloud and Containers matrices. Strong scripting and data-analysis skills (Python, SQL/KQL) for investigation at scale, with the ability to validate findings independently and challenge assumptions. Advanced certifications such as GCIH, GCFA, GNFA, GCFE, or OSCP are an advantage. Leadership & Communication Technical leadership through credibility, raising the team's bar without relying on formal authority. Calm and structured during high-severity incidents, making sound decisions amid uncertainty. Excellent written communication, turning complex investigations to clear narratives others can act on. Fluent in English, written and verbal, comfortable working with international teams and stakeholders. 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 About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role We are seeking a Staff ML/AI Engineer to define and drive the architectural vision for Lyra’s machine learning and generative AI technology landscape. In this role, you will serve as a technical anchor across the engineering and data organizations—architecting enterprise-scale AI platforms, setting technical strategy for high-impact AI/ML initiatives, and ensuring our AI products operate with top-tier reliability, security, and medical precision. The ideal candidate is a seasoned technical leader who excels at translating complex healthcare challenges into scalable platform solutions, building consensus across cross-functional leadership, and elevating the technical bar for the entire engineering organization. Lyra is for you if you Thrive on working with brilliant teammates to solve complex, meaningful problems Are passionate about making a social impact and supporting people at their most challenging moments Enjoy cross-functional collaboration with physicians, therapists, data scientists, data analysts and product managers Responsibilities Drive AI Platform Architecture: Design and execute the long-term roadmap for Lyra’s machine learning and generative AI platform, enabling fast, safe, and reliable deployment of frontier models across the company. Lead AI Infrastructure Vision: Architect end-to-end training, fine-tuning, and low-latency inference platforms, including centralized RAG architecture, vector databases, and enterprise evaluation/guardrail frameworks. Set Engineering Excellence Standards: Establish organizational standards for the full AI/ML SDLC—from dataset lineage and CI/CD pipelines to automated model evaluation, red-teaming, and production monitoring. Cross-Functional Technical Leadership: Partner closely with Product Management, Data Science, Security, and Clinical leaders to translate strategic clinical goals into foundational AI capability roadmaps. Mentor and Multiply Impact: Elevate the engineering culture by mentoring Senior ML Engineers, conducting high-leverage architectural reviews, and establishing engineering best practices across teams. Hands-On Leadership: Lead by example through technical prototypes, critical-path architecture, and strategic coding contributions. And of course, you will be coding! Qualifications 8+ years of experience deploying complex ML/AI solutions into mission-critical production environments, with a proven track record of technical leadership. Deep System & Software Engineering Expertise: Mastery of Python, RESTful API design, Protobuf, and microservices architecture. Production AI/ML Infrastructure Mastery: Deep expertise with Docker, Kubernetes, container orchestration, and real-time inference services. Modern Generative AI Architecture: Hands-on experience designing and deploying RAG pipelines, fine-tuning LLMs, managing vector databases, and building robust LLM evaluation/guardrail frameworks. Data Layer Systems: Expertise with relational databases, low-latency key-value stores, distributed queueing system architectures (e.g., Celery, Kafka), and data pipeline orchestration. Cloud Architecture: Strong experience architecting cloud-native solutions on AWS (or equivalent cloud providers). Strategic Communication: Exceptional ability to distill highly ambiguous technical problems into clear strategic priorities and influence leadership across engineering, product, and business domain disciplines. Preferred Qualifications Polyglot Engineering Background: Experience writing high-performance production code in Java or Kotlin. Healthcare & Sensitive Data Expertise: Experience architecting AI/ML systems within highly regulated environments (HIPAA compliance, SOC2, handling PHI/PII). MLOps / Platform Productization: Experience building internal developer platforms or ML tooling used by dozens of data scientists and engineers. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Staff ML Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $161,000 to $221,500. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses. Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:  Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave  401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!   We can’t wait to meet you.

Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role: We are looking for an experienced Senior ML Engineer who is eager to build the tooling and services necessary to deliver ML and generative AI based products that make a significant impact within the organization.  The ideal candidate will be enthusiastic about taking ownership of their work, spearheading cross-functional projects, and providing guidance and mentorship to other team members. Lyra is for you if you: Thrive on working with brilliant teammates to solve complex, meaningful problems Are passionate about making a social impact and supporting people at their most challenging moments Enjoy cross-functional collaboration with physicians, therapists, data scientists, data analysts and product managers Responsibilities Build tooling and services that power the machine learning and generative AI powered solutions in production Training and inference platform services The model evaluation metrics and testing framework Build services that expose machine learning and AI based products Deploy and manage various applications that power various components of the the AI/ML SDLC process And of course, you will be coding every day! Qualifications 6+ years of experience deploying ML/AI solutions in production environments Ability to write high-quality code in Python Experience building RESTful APIs Experience defining and using Protobuf messages Experience working with Docker and deploying applications to Kubernetes Experience with relational and low-latency databases Experience working with Celery A strong desire to work on ML/AI based products A desire to learn new technologies quickly A love of building systems from scratch A thoughtful approach to balancing quality and deadlines in fast-paced settings Excellent communication skills with a talent for building consensus and alignment Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward Preferred Qualifications Experience building RAG (retrieval-augmented generation) based solutions Experience setting up and maintaining vector databases Experience writing production code in Java/Kotlin Experience building solutions on cloud infrastructure, particularly AWS Experience working with highly sensitive data in a healthcare environment "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Sr. ML Engineer (MLOps), you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $143,000 to $197,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.  Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:  Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave  401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!   We can’t wait to meet you.

Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role:  Lyra is transforming mental health care by creating a frictionless experience for members, providers, and employers. We connect companies and their employees to mental health providers, therapy, and coaching programs that work. We are looking for a self-driven, technical Data Scientist who cares about impact, ownership and innovation. In this role, you will work closely with Lyra’s Data, Product, Engineering, and Clinical teams on AI/ML initiatives that will enhance the experience of mental health patients and providers.  This Data Scientist role can be filled remotely anywhere within the US, as well as locally in our Burlingame, CA headquarters.  Please note that remote-based candidates must be physically located within the United States. Responsibilities Work closely with Lyra’s Data, Product, Engineering, and other associated teams to enhance the Lyra platform to serve the needs of our providers and clients. Become an expert in the diverse data sources we collect and partner with data engineers to build pipelines that apply clinical logic to raw data Extract actionable insights, develop predictive and generative models, and implement rigorous evaluation frameworks to support product iterations Complete time-sensitive ad hoc data requests for internal and external stakeholders Qualifications 5+ years of data analysis in an industry setting with a preference for individuals who have experience in product analytics in the AI/ML space and have partnered with engineering and product teams in prior roles. Experience collaborating with cross-functional stakeholders across technical, business, and (ideally) clinical domains Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression).  Experience applying hypothesis testing in an industry or research setting. Experience developing comprehensive analyses using irregular data from disparate sources.  Willing to do whatever it takes to clean messy data prior to deriving insights. Strong SQL proficiency.  Experience writing complex queries with multiple schemas and tables.  Preference for candidates who have experience creating views. Graduate-level Statistics coursework with MS in a quantitative field is preferred (statistics, econometrics, biostatistics, quantitative social sciences). Preferred Qualifications Interest in public health a plus Experience with AI/ML R&D, e.g. prompt engineering and RAG Experience with Python, including cleaning and analyzing data as well as using Python to parse JSON structured data, call APIs, create user-defined functions, and automate. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Sr. Data Scientist - AI Research, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $128,000 to $197,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.  Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:  Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave  401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!   We can’t wait to meet you.

Location: India Job Overview We are seeking an experienced Software QA & Testing Engineer to join our dynamic team. In this role, you will play a crucial part in ensuring the delivery of high-quality software through robust manual and automated testing processes, as well as adopting modern testing tools including Artificial Intelligence (AI) for enhanced efficiency and accuracy. You will lead the testing efforts to identify and resolve issues, optimize performance, ensure cross-browser compatibility, and verify the scalability and resiliency of software capabilities under load. As part of our commitment to innovation, your role will involve implementing AI-powered testing methodologies to improve coverage and identify issues proactively. If you have hands-on experience with automation, cross-browser testing, performance testing, and industry-leading tools (including AI-based solutions), this is the perfect opportunity for your career growth. Key Responsibilities 1. Test Planning & Strategy Collaborate with product managers, developers, and other stakeholders to understand requirements and define test objectives. Develop and document comprehensive and efficient test plans, strategies, and exit criteria. Ensure alignment with Agile frameworks for CI/CD processes to maintain quality standards throughout the software development lifecycle. 2. Manual Testing Perform detailed manual testing on new features, functional flows, and regression cases. Conduct comprehensive exploratory testing for edge-case scenarios to uncover potential issues early. Ensure test data coverage for all features, workflows, integrations, and edge cases. 3. Automation Testing Design, build, and maintain automation frameworks for both web and mobile applications using leading tools like Selenium , Cypress , Playwright , and/or similar. Write efficient and reusable automated test scripts to conduct functional and end-to-end testing . Work on integrating automated tests into CI/CD pipelines (e.g., using Jenkins , GitHub Actions , AWS CodePipeline ). 4. Cross-Browser & Device Testing Perform cross-browser testing on modern browsers such as Chrome, Firefox, Safari, and Edge using tools like BrowserStack , Lambdatest , or CrossBrowserTesting . Validate software compatibility across various operating systems and devices (desktop and mobile). 5. Performance Testing Design and execute performance, scalability, and stress tests for high-traffic systems using tools like JMeter , LoadRunner , or Gatling . Monitor application response time, throughput, and behavior under heavy load scenarios. Analyze performance bottlenecks and provide optimization recommendations to development teams. 6. AI-Driven Testing Utilize AI-powered test case generation tools like Testim , Applitools , or Tricentis Tosca to design smarter and faster test cases. Work with AI-based tools for visual regression testing and intelligent defect identification. Stay up to date on emerging trends in AI-driven QA solutions to enhance testing strategies. 7. Defect Reporting & Debugging Identify, document, and track bugs and defects found during testing using bug-tracking tools such as JIRA , Trello , and Azure DevOps . Actively collaborate with development teams to troubleshoot and resolve defects, ensuring software efficiency and stability. 8. Documentation & Reporting Create and maintain a repository of detailed test plans, test cases, and test execution reports. Generate test metrics and quality reports to update stakeholders regarding system quality and testing progress. Requirements 1. Education & Experience Bachelor’s degree in Computer Science, Engineering, or a related field. 4–6 years of experience in a Software QA role, with a proven track record of delivering high-quality software products. 2. Technical Skills Strong understanding of software QA methodologies , manual and automation testing standards , and testing tools . Hands-on experience with manual  and automation testing of workflows and UI components. Proficiency with key automation testing frameworks (e.g., Selenium, TestNG, Playwright, Cypress, etc. ). Demonstrated expertise in cross-browser testing tools (e.g., BrowserStack, LambdaTest, Sauce Labs ). Advanced knowledge of performance and stress testing tools (e.g., JMeter, LoadRunner, Gatling, or k6 ). Experience with API testing tools such as Postman, Rest Assured , or Karate . Proficiency with test management tools (e.g., Jira, TestRail ) and version control systems like Git . Familiarity with CI/CD pipelines and DevOps tools (e.g., Jenkins, GitHub Actions, Azure Pipelines ). 3. AI Testing Tools Hands-on experience with AI-enhanced testing tools such as: Testim, Tricentis Tosca, Katalon AI, Applitools, and Mabl AI-powered visual testing and smart test case generation Understanding of AI-driven methodologies for predictive testing, defect prioritization, and anomaly detection. 4. Additional Skills Strong troubleshooting and debugging skills with an eye for detail. Excellent communication skills, with the ability to articulate complex issues to technical and business stakeholders clearly. Demonstrated ability to work in Agile environments and with techniques such as regression testing , exploratory testing, and smoke/sanity testing. Knowledge of scripting languages such as Python, JavaScript, or Java is a plus. Preferred Qualifications Certifications : ISTQB Foundation Level or Advanced Level certification Certified Selenium Professional, Appium Certification, or equivalent Experience in Performance & Load Testing : Hands-on knowledge with tools like JMeter or LoadRunner. Familiarity with AI/ML Testing : Experience testing machine-learning models or data-driven AI applications. Cloud Testing : Familiarity with testing APIs and services hosted on AWS , Azure , or GCP .

Location: Amsterdam, Netherlands; London, United Kingdom; Remote - Europe; Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are seeking a Staff Applied AI Researcher to join a fast-growing team building an agent-native search platform - the web access layer for AI systems. You can think of this as Google search, but for AI agents: a system designed for machines, not humans. We are building agentic search, where AI systems actively plan, retrieve, evaluate, and refine information rather than simply returning results. As AI becomes the primary interface to the web, this layer will replace the role of traditional search engines. We are designing these systems to search and reason over web data in real time, under strict latency and reliability constraints. This means solving retrieval, ranking and passage extraction under entirely new access patterns and at significant scale, with systems operating over constantly changing, unstructured data and serving tens of thousands of production workloads 24/7. This role comes with ownership over key parts of our applied AI research direction and system design, with a strong expectation of defining new approaches and shipping measurable impact in production. In the first year, you will own a specific part of the search stack, e.g. ranking or iterative retrieval. What you'll work on: Designing an agent-native search system that handles everything from low-latency single-hop search to complex deep search tasks requiring iterative planning, querying, refinement and reasoning. Training ranking and retrieval models optimized for agent-driven workflows under real world constraints Bringing the latest advances from the research community to our search stack and ship it to production. Your responsibilities: Drive applied research and technical direction across retrieval and ranking systems Design and evolve multi-stage retrieval architectures (query understanding, rewriting, retrieval, reranking and iterative retrieval) Lead experimentation on modern retrieval approaches (embedding research, sparse and hybrid retrieval, reranking, context compression) and bring them into production Develop methods for grounding LLMs in real-time web data at scale, using trust, quality and freshness signals to surface reliable sources Partner with the evaluation team to define new metrics for agentic systems, where correctness is not reducible to clicks Analyze trade-offs across relevance, latency, and cost, and work closely with engineering to deploy systems that operate at web scale Mentor researchers and engineers and help raise the technical bar of the team Must haves: 8+ years of experience in applied AI, ML, or software engineering Proven track record of shipping ML or AI systems to production at scale Deep experience with search, retrieval, ranking or building RAG-based assistants Strong understanding of modern deep learning, especially transformers and embeddings Experience with LLM-integrated or knowledge-intensive systems Experience designing evaluation frameworks and metrics for ML systems Strong programming skills in Python Top-tier publications ( ICLR , ICML , NeurIPS, AAAI , EMNLP , ACL ) Ability to operate in a fast-moving, product-driven environment with high ownership and autonomy Nice to haves Background in agentic AI systems (agents, tool use, autonomous workflows) Experience with RL post-training of LLMs or VLMs 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: Germany; France; Netherlands; Spain Workplace: Remote Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. THE TEAM AND YOUR IMPACT We're hiring a Business Development Representative to help build Qdrant's enterprise pipeline. You'll report directly to our Enterprise sales leaders and work side by side with them on the accounts that matter most to our growth. This isn't a role where you'll just work a list. You'll run both inbound and outbound motions, and you'll operate strategically inside key accounts to help identify and drive expansion opportunities alongside the Enterprise team. You'll be a first line of contact for engineering and AI leaders evaluating vector search infrastructure, so a genuine curiosity about how production AI systems are built matters here. WHAT YOU WILL OWN - Report directly to Qdrant's Enterprise sales leaders and act as an extension of their account strategy. - Run outbound prospecting into named enterprise accounts, targeting engineering, AI, and data leaders building retrieval and agentic AI systems. - Qualify and progress inbound leads generated by marketing, content, and community channels. - Research target accounts to identify expansion opportunities within existing customers and new logos in strategic segments. - Work closely with Enterprise AEs to develop strategic outreach and multi-threaded account plans for key accounts. - Run discovery conversations to understand a prospect's retrieval, search, and AI infrastructure challenges. - Book qualified meetings and hand off well-scoped opportunities to the Enterprise sales team. - Build outbound workflows using tools like Claude and Common Room to research accounts, personalize outreach, and scale prospecting. - Keep Salesforce and pipeline data accurate and current, and share account and market insights back with sales, marketing, and product teams. - Hit monthly and quarterly targets for qualified pipeline generated. WHO YOU ARE - Up to three years of experience in a business development, sales development, or similar quota-carrying prospecting role, ideally at a technical B2B SaaS or infrastructure company. - A track record of hitting or exceeding pipeline generation targets. - Comfort with both inbound follow-up and proactive outbound prospecting into enterprise accounts. - Strong written and verbal communication skills, with the ability to speak credibly to technical audiences. - A genuine interest in AI infrastructure, vector search, or developer tools. You don't need to be an engineer, but you should be willing to learn the technical fundamentals. - A genuine interest in building a career in sales. - Experience with a CRM (Salesforce) and sales engagement tools. - Organized, self-motivated, and comfortable operating with a degree of ambiguity in a fast-growing company. NICE TO HAVE - You have an understanding of key personas in the AI/ML space. - Familiarity with databases, search, and cloud infrastructure. - Engineering or computer science background. WHY JOIN US - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/ #LI-REMOTE

Location: Toronto, ON Workplace: OnSite 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. 1Password is opening a new flagship office in Toronto, and we need a senior technical leader to own the workplace technology that powers it. As a member of the IT team, this role is responsible for designing, implementing, and continuously evolving the technology experience across network infrastructure, AV and collaboration systems, physical security technology, and workplace endpoint services. This is an onsite, senior individual contributor role based in Toronto, reporting to the Manager of IT Support. You will serve as the company's primary subject matter expert for workplace networking and AV technologies, establishing the technical standards that will be replicated across future office locations. Beyond building the Toronto office, you will provide ongoing engineering leadership, drive technology improvements, mentor Workplace Technology Specialists supporting regional offices, and act as the senior escalation point for complex infrastructure and workplace technology issues. If you enjoy owning systems end to end, building scalable solutions, and solving challenging technical problems, we'd love to hear from you. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is an onsite opportunity within Toronto, Canada. What we're looking for: - 5+ years designing, deploying, and supporting enterprise network infrastructure, including wired, wireless, routing, switching, and WAN/ISP redundancy using platforms such as Cisco Meraki or Aruba. - Experience designing, deploying, and operating enterprise workplace AV environments, including video conferencing, room scheduling, multi zone audio, digital signage, and room control systems. - Experience administering MDM platforms and managing endpoint lifecycle, provisioning, automation, and deployment workflows. - Experience implementing and supporting physical security technologies, including access control and camera platforms. - Experience delivering new office builds or major workplace technology projects while coordinating with vendors, contractors, and building management. - Experience building automation workflows and operational tooling that reduce manual effort and improve reliability. - Strong communication skills with the ability to partner effectively across technical and nontechnical stakeholders. - Willingness to travel to support office builds, technology standardization, and regional workplace initiatives. Bonus points for: - Experience working in a remote first organization supporting distributed workplace infrastructure. - Familiarity with SOC 2, ISO 27001, and physical security governance requirements. - Experience mentoring technical staff and establishing engineering standards across multiple office locations. What you can expect: INFRASTRUCTURE - Design, deploy, and continuously improve the Toronto office network, including wired, wireless, dedicated IT room infrastructure, and redundant internet connectivity with automated failover. - Serve as the technical owner for workplace networking across the company, developing scalable standards and reference architectures for future office builds. - Own the physical security technology stack, including access control, camera systems, and integrated workplace technologies. - Partner with the Security team on governance, compliance, audit requirements, and building integrations while driving long term platform reliability and lifecycle planning. - Own vendor relationships, technology evaluations, hardware standards, monitoring, capacity planning, and ongoing infrastructure performance across networking, AV, and physical security systems. - Evaluate emerging workplace technologies and recommend improvements that enhance reliability, scalability, and employee experience. WORKPLACE EXPERIENCE - Design, deploy, and continuously optimize AV and collaboration technologies across a variety of meeting spaces, including video conferencing, room scheduling, multi zone audio, digital displays, and proactive monitoring. - Own the technology behind the end to end onboarding experience for Toronto employees, including device provisioning, MDM workflows, automation, deployment standards, and lifecycle management. - Act as the senior technical escalation point for complex networking, AV, workplace infrastructure, and endpoint issues, while providing hands on support when required. - Provide mentorship and technical guidance to Workplace Technology Specialists supporting other regional office locations, helping establish consistent engineering and operational standards across the company. - Build and maintain engineering documentation, runbooks, architecture diagrams, automation workflows, and operational standards. - Provide onsite coverage for workplace technology operations during planned absences and support additional office builds and major technology initiatives as needed. What success looks like: - The Toronto office launches with resilient, well designed networking, AV, and physical security systems that become the blueprint for future 1Password offices. - Workplace infrastructure continues to evolve through proactive engineering, monitoring, automation, and lifecycle improvements rather than reactive support. - Regional Workplace Technology Specialists are enabled through mentorship, documentation, and standardized engineering practices. - Employees have a seamless workplace technology experience, while complex technical issues are resolved through thoughtful engineering solutions. - Routine operational work becomes increasingly automated, allowing more time to focus on strategic infrastructure improvements and future office expansion. Canada-based roles only: The annual base salary for this role is between $93,000 CAD and $130,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.