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Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Mechanical Design Engineer – Data Centres Nebius We’re looking for a Mechanical Design Engineer to help shape the mechanical infrastructure supporting our data centre developments. You’ll contribute throughout the project lifecycle, from concept design and technical assessments through detailed design, construction and commissioning. Working alongside electrical engineers, IT infrastructure teams, external consultants and equipment suppliers, you’ll develop practical, scalable cooling solutions for high-density computing environments. This is an opportunity to influence engineering decisions, help develop design standards and see your work carried through into operating facilities. What you’ll do Develop and review mechanical designs for new data centres, expansions and upgrades. Produce and assess cooling calculations, equipment specifications, schematics, layouts and design documentation. Evaluate cooling systems, including chillers, pumps, heat exchangers, air-handling equipment and associated pipework. Support the integration of liquid cooling, coordinating the interfaces between facility systems, coolant distribution units and IT equipment. Assess capacity, redundancy, maintainability and system performance under normal operation, maintenance and failure conditions. Coordinate mechanical designs with electrical, structural, architectural and controls teams, including airflow, containment and plant-space requirements. Review consultant designs, supplier proposals and contractor submissions, resolving technical queries during procurement and construction. Support site assessments, installation reviews and commissioning to verify that systems meet the design requirements. Identify opportunities to improve energy and water efficiency, reduce lifecycle costs and standardise designs across projects. What you’ll bring A qualification in Mechanical Engineering, Building Services Engineering or equivalent practical experience. Experience designing mechanical systems for data centres or other mission-critical facilities. Strong knowledge of HVAC, cooling systems, heat transfer, fluid distribution and equipment selection. An understanding of resilient design and the operational requirements of facilities running continuously. Experience preparing or reviewing engineering calculations, technical specifications and construction documentation. Familiarity with mechanical controls and Building Management System interfaces. The ability to work effectively with consultants, contractors, suppliers and colleagues across engineering disciplines. Clear communication skills in English and willingness to travel to project sites when required. Useful additional experience Direct-to-chip liquid cooling or other cooling technologies for high-density AI and HPC environments. Thermal modelling, airflow analysis or computational fluid dynamics. BIM coordination and tools such as Revit or AutoCAD. Commissioning, integrated systems testing or operational troubleshooting. Professional engineering registration or relevant data centre qualifications. 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: Singapore 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. As an Electrical Design Engineer specialising in high- and medium-voltage systems, you will help design the resilient power infrastructure behind Nebius AI data centers across EMEA. You will work from early concept and site development through detailed design, construction, commissioning and operational handover. This is a hands-on technical role for an engineer who can make sound design decisions, challenge consultant proposals and turn demanding GPU workload requirements into safe, scalable and buildable electrical systems. What you will own Develop and review electrical designs for new data center builds, expansions and major infrastructure upgrades across EMEA. Own HV and MV design inputs from utility point of connection through substations, transformers, switchgear and downstream distribution. Produce and review design criteria, single-line diagrams, load schedules, equipment specifications, protection philosophies and basis-of-design documentation. Evaluate power capacity, redundancy and distribution strategies for high-density AI environments, including N, N+1 and 2N configurations. Review technical submissions from design consultants, colocation partners, contractors and equipment vendors, identifying gaps, risks and practical alternatives. Coordinate electrical design with mechanical, controls, network, hardware, civil and architectural workstreams so the complete solution is buildable, maintainable and scalable. Support equipment strategy and selection for transformers, MV and LV switchgear, UPS systems, generators, busway and associated protection and control systems. Lead or review power-system studies, including load flow, short-circuit, protection coordination, arc-flash, earthing, harmonics and power-quality assessments. Ensure design compliance with applicable IEC and EN standards, local grid requirements, national regulations and Nebius engineering standards. Support procurement, factory acceptance testing, site acceptance testing, construction queries, commissioning and final handover to operations. Capture lessons learned and contribute to repeatable reference designs, specifications and technical playbooks for rapid EMEA deployment. What success looks like Electrical design risks are identified and resolved before they affect cost, programme or energisation. HV and MV systems meet capacity, resilience, safety and maintainability requirements from day one. Consultants and suppliers receive clear decisions, standards and technical direction. Designs progress efficiently from concept to construction and through commissioning without loss of design intent. What you will bring A degree in Electrical Engineering, Power Systems Engineering or a related discipline, or equivalent professional experience. Typically 5 or more years of electrical design experience in data centers, mission-critical facilities, utilities or large industrial environments. Strong practical knowledge of HV and MV distribution, substations, transformers, switchgear, protection systems, earthing and utility interconnection. Experience producing or reviewing construction-ready electrical design documentation and technical specifications. A solid understanding of UPS systems, generators, LV distribution and the interaction between facility power systems and high-density IT loads. Working knowledge of relevant IEC and EN standards and the ability to interpret local codes and grid requirements across different EMEA markets. Experience with power-system analysis software such as ETAP, DIgSILENT PowerFactory, SKM or equivalent. Strong technical judgement, attention to detail and the ability to explain complex trade-offs clearly to technical and non-technical stakeholders. Fluent professional English and willingness to travel across EMEA. It would be an advantage if you have Experience with hyperscale, neocloud, GPU-dense or liquid-cooled data center environments. Experience with EPMS, BMS or SCADA integration and electrical commissioning. Knowledge of long-lead electrical equipment strategy and vendor qualification. Chartered Engineer status or an equivalent professional engineering certification. Experience with BIM, Revit or model-based multidisciplinary design coordination. 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 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. As an Electrical Design Engineer specialising in high- and medium-voltage systems, you will help design the resilient power infrastructure behind Nebius AI data centers across EMEA. You will work from early concept and site development through detailed design, construction, commissioning and operational handover. This is a hands-on technical role for an engineer who can make sound design decisions, challenge consultant proposals and turn demanding GPU workload requirements into safe, scalable and buildable electrical systems. What you will own Develop and review electrical designs for new data center builds, expansions and major infrastructure upgrades across EMEA. Own HV and MV design inputs from utility point of connection through substations, transformers, switchgear and downstream distribution. Produce and review design criteria, single-line diagrams, load schedules, equipment specifications, protection philosophies and basis-of-design documentation. Evaluate power capacity, redundancy and distribution strategies for high-density AI environments, including N, N+1 and 2N configurations. Review technical submissions from design consultants, colocation partners, contractors and equipment vendors, identifying gaps, risks and practical alternatives. Coordinate electrical design with mechanical, controls, network, hardware, civil and architectural workstreams so the complete solution is buildable, maintainable and scalable. Support equipment strategy and selection for transformers, MV and LV switchgear, UPS systems, generators, busway and associated protection and control systems. Lead or review power-system studies, including load flow, short-circuit, protection coordination, arc-flash, earthing, harmonics and power-quality assessments. Ensure design compliance with applicable IEC and EN standards, local grid requirements, national regulations and Nebius engineering standards. Support procurement, factory acceptance testing, site acceptance testing, construction queries, commissioning and final handover to operations. Capture lessons learned and contribute to repeatable reference designs, specifications and technical playbooks for rapid EMEA deployment. What success looks like Electrical design risks are identified and resolved before they affect cost, programme or energisation. HV and MV systems meet capacity, resilience, safety and maintainability requirements from day one. Consultants and suppliers receive clear decisions, standards and technical direction. Designs progress efficiently from concept to construction and through commissioning without loss of design intent. What you will bring A degree in Electrical Engineering, Power Systems Engineering or a related discipline, or equivalent professional experience. Typically 5 or more years of electrical design experience in data centers, mission-critical facilities, utilities or large industrial environments. Strong practical knowledge of HV and MV distribution, substations, transformers, switchgear, protection systems, earthing and utility interconnection. Experience producing or reviewing construction-ready electrical design documentation and technical specifications. A solid understanding of UPS systems, generators, LV distribution and the interaction between facility power systems and high-density IT loads. Working knowledge of relevant IEC and EN standards and the ability to interpret local codes and grid requirements across different EMEA markets. Experience with power-system analysis software such as ETAP, DIgSILENT PowerFactory, SKM or equivalent. Strong technical judgement, attention to detail and the ability to explain complex trade-offs clearly to technical and non-technical stakeholders. Fluent professional English and willingness to travel across EMEA. It would be an advantage if you have Experience with hyperscale, neocloud, GPU-dense or liquid-cooled data center environments. Experience with EPMS, BMS or SCADA integration and electrical commissioning. Knowledge of long-lead electrical equipment strategy and vendor qualification. Chartered Engineer status or an equivalent professional engineering certification. Experience with BIM, Revit or model-based multidisciplinary design coordination. 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: Hyderabad, India About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Technical Project Manager to own IT infrastructure in Nebius data centers from the moment it is accepted into operations: acceptance of new sites and GPU clusters from the Project team, and delivery of projects and changes in live production environments. You will work with modern GPU clusters — GPU servers, high-speed networking, compute and storage — acting as the link between the Project team, DC engineers, vendors and IT Operations. This role represents IT Operations in those projects, sets the acceptance bar and owns the transition into steady-state operations. Your responsibilities will include: Acceptance & operational readiness of new sites and clusters Represent IT Operations in new site and cluster projects from the planning stage: define acceptance criteria and operational readiness requirements upfront, before build starts. Own the acceptance process: readiness assessments, acceptance testing against agreed criteria, punch lists, operational sign-off. Acceptance is mandatory — no site or cluster moves into operations without it. Prepare operations for takeover: operational procedures, tooling, documentation, on-site processes, spares and vendor support in place before sign-off. Manage the transition period from Project team to IT Operations, including defect follow-up and closure of open items after handover. Operations projects & change management in live DCs Manage and deliver IT infrastructure projects and change requests in production data centers: hardware deployments and replacements, capacity changes in accepted clusters, network and cabling changes, decommissioning. Own the change lifecycle for DC IT infrastructure: change requests, risk and impact assessment, MOPs, maintenance windows, rollback plans, post-implementation review. Manage risks and dependencies in live environments; proactively identify technical, operational and process issues and drive them to resolution. Stakeholders, communication & documentation Lead communication with all stakeholders: transparent progress reporting, expectation management, escalation of critical blockers, timely decision-making. Lead project meetings, technical reviews and operational readiness discussions with a focus on clear ownership, actionable outcomes and execution. Maintain project and operational documentation: acceptance criteria and reports, risk registers, issue logs, operational procedures, handover documentation, deployment reports. Cross-functional coordination & operational excellence Coordinate engineering, infrastructure, network, security, procurement, hardware lifecycle and operations teams across acceptance and operational phases. Work directly with data center engineers, vendors, contractors and operations teams. Lead operational reviews and planning with internal teams; improve reliability, response times and workflows. Contribute to automation, process improvements and design support as needed. We expect you to have: Proven experience in data center IT infrastructure operations, preferably in high-performance or AI-oriented environments. Experience accepting IT infrastructure into operations: defining acceptance criteria, running readiness assessments, taking handover from project teams. Experience running changes in live production environments: change requests, MOPs, maintenance windows, rollback planning. Solid understanding of data center design and operations: racking, cabling, power planning, cooling considerations. Hands-on experience with IT hardware in data centers; comfortable on site during live operations. Experience in project delivery, team coordination and cross-team collaboration. Strong problem-solving skills; ability to troubleshoot technical and workflow issues across the IT stack. Ability to document processes, maintain tracking systems and produce clear acceptance, deployment and handover reports. Strong stakeholder management; clear communication between technical and business teams. Ownership, drive and follow-through — including the ability to refuse sign-off when criteria are not met. Ready for regular business trips, including on-site presence during acceptance of new sites and clusters. It will be an added bonus if you have: Structured project management or delivery frameworks (PRINCE2, PMI , Agile). ITIL / formal change management experience. Relevant technical certifications. Familiarity with GPU clusters / AI workloads. 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.

О проекте и команде: Основные продукты компании – это высокоточные системы машинного обучения, которые помогают игровым платформам увеличивать LTV игроков, оптимизировать расходы на привлечение и прогнозировать отток ключевых клиентов. Компания гордится своей сильной командой с экспертизой в AI/ML и продукте. Задачи на этой роли: — Управление полным циклом продаж (End-to-End): от верификации и квалификации лида до заключения сделки, контроля подписания контракта и последующего развития аккаунта (Upsell / Cross-sell); — Работа с Inbound-потоком: глубокая квалификация входящих обращений, анализ потребностей клиентов, проведение презентаций и подготовка ценностных предложений; — Outbound & Business Development: самостоятельная генерация и привлечение B2B / B2C клиентов, а также развитие пула стратегических B2B-партнеров, проработка холодных контактов и выстраивание цепочек DMU; — Проведение бизнес встреч на высшем уровне в соответствии со стандартами компании; — Участие в международных конференциях: личное присутствие и нетворкинг на отраслевых мероприятиях, проведение встреч с C-Level, HOF+1, бизнес ланчей/ужинов, учатсие в интервью, спикерство; — Проектное сопровождение сделки: согласование условий пилота, координация взаимодействия с внутренними командами (Development, Product, Pre-sale) и службами клиента (IT, Legal, Security); — CRM-дисциплина и отчетность: системное ведение воронки продаж, прогнозирование свои клиентов (Sales Forecast), фиксирование коммуникаций и выполнение целевых показателей KPI. Ожидания от кандидата: — 3+ лет успешного опыта продаж сложных технологических решений (SaaS, IT-интеграции, AI/ML, Big Data) в B2B-сегменте; — Подтвержденный трек-рекорд закрытия чеков от €50,000 до €500,000+ и длинным циклом продаж (5–12 месяцев); — Навыки выстраивания нетворкинга: умение находить подход, устанавливать и поддерживать долгосрочные деловые связи с ключевыми ЛПР, партнерами, экспертами рынка и другими полезными сейчас или в будущем контактами; — Глубокое владение методологиями продаж (анализ и выявление потребностей, модель ХПВ — Характеристика-Преимущество-Выгода, системная отработка возражений); — Знание и практическое применение фреймворков уровня SPIN, MEDDIC, Challenger Sale или аналогов. Условия и возможности: — Комфортная рабочая атмосфера; — Гибкое начало рабочего дня; — Оплачиваемые отпуска и больничные; — Компенсация спорта и языковых курсов; — До 5 оплачиваемых day-off в год; — Доступ к корпоративной библиотеке MyBook; — Оплата образовательных курсов, конференций и форумов; — Высокий уровень влияния на стратегию и развитие компании.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As HR Manager in our Boston location, you'll be hands on: part strategic partner, part operator. You'll set direction and roll up your sleeves to make it happen. You'll be a trusted advisor on everything from performance and employee relations to culture - helping the business move fast while staying rigorous and fair. People Operations   WHAT YOU’LL DO - People Operations and the Employee Lifecycle - Own the end-to-end employee lifecycle for US employees, including onboarding, employee changes, leave management and offboarding. - Administer US benefits, prepare payroll inputs, and handle day-to-day employee queries. - Maintain accurate employee data, documentation and workflows in our HRIS (HiBob) and other HR systems. - Coordinate lifecycle processes across HR, Payroll, IT, Finance, Legal and other internal teams. - Prepare and maintain employment documentation, and support HR reporting, data quality, audits and compliance requirements. Strategic HR Business Partnership - Serve as the primary HR partner for Engineering, Hardware and Software leaders. - Support technical leaders as the company grows, including adding new management layers, developing first-time managers, and adapting leadership styles as the team scales. - Partner with the Chief HR Officer on org design, workforce planning and people strategy for the technical organization. - Align with Talent Acquisition on technical hiring strategy, interview process health, candidate experience and hiring manager enablement. Manager Coaching and Performance Management - Coach managers on setting clear expectations and operating rhythms, including goals, execution cadence and feedback loops. - Enable consistent, high-quality 1:1s, feedback and career conversations. - Support performance differentiation (high, medium and low performance) and make sure issues are addressed early and fairly. - Run performance and review cycles, managing the detail and delivering consistently. Career Frameworks and Talent Development - Partner with leaders to build and evolve career frameworks and levels for technical roles, including software, robotics, embedded, firmware, electrical and mechanical engineering. - Clarify dual career tracks (individual contributor and management), promotion readiness and growth expectations. - Identify retention risks in critical technical roles and put targeted plans in place with managers. Employee Relations and Compliance - Support managers and leaders through complex and sensitive employee situations with empathy, directness and appropriate legal and compliance awareness. - Take ownership of operational issues and complex cases, and drive them through to resolution. - Apply practical knowledge of US and Canadian employment practices across employee relations, benefits, payroll coordination and leave administration. Process Improvement and Scalability - Continuously review existing People processes and find ways to simplify, standardize and automate them. - Build scalable people practices suited to a fast-moving deep-tech environment. - Partner with People Ops to keep core people processes running smoothly and the employee experience strong. WHAT WE'RE LOOKING FOR - 7+ years of proven HRBP experience supporting technical teams (Engineering, Hardware, Software, AI/ML). - Experience partnering directly with managers on performance management, employee relations and people decisions. - Strong capability in org design, workforce planning, manager coaching, performance management and employee relations. - Excellent stakeholder management, communication and influence skills. You communicate clearly, practically and confidently with employees and leaders. - Strong execution skills: able to run cycles, manage detail and deliver consistently. Mindset - High judgement and confidence handling sensitive matters, balancing empathy with high standards. - Comfortable operating in ambiguity and driving clarity where processes are still evolving. - Able to own problems independently and drive them through to resolution. - A process-improvement mindset and a natural tendency to simplify and automate. Nice to Have - Experience in deep-tech, robotics, embedded systems, or hardware and software organizations. - Experience building or refining leveling frameworks and IC/manager career tracks. - Familiarity with engineering operating models (on-call, incident management, postmortems). WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.

Location: Remote; London Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Solutions Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering. RESPONSIBILITIES - Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts). - Lead demos and technical scoping to align on success criteria, architecture, and deployment approach. - Own benchmarking and repeatable deployments, including: - Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, Voice AI, etc. - Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups. - Driving consistent “playbook” style deployments for common models and use cases. - Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them - Drive POC and project execution, including: - Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps. - Acting as the “ringleader” or project manager for POCs. - Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed. REQUIREMENTS - AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders. - Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements. - Technical depth to scope solutions, without needing to write production code. - Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows. NICE TO HAVE - Experience running or supporting benchmarks for ML inference deployments. - Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning). - Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran + dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Senior Staff Systems Engineer, Data and Integrations to join our Systems Engineering team and set the technical direction for the data that runs Fivetran's business. In this role, you will own the data architecture behind our marketing, sales, billing, and product operations: the canonical data models, the contracts between systems, and the pipelines and transformations that move data reliably between them. You will lead our largest and most consequential data initiatives, such as system migrations, org consolidations, and re-platforming of core integrations, from design through validation and cutover. This position sits at the crossroads of data engineering, data modeling, and business process. You will partner closely with our Systems, Analytics, and Engineering teams, as well as Marketing, Revenue Operations, Accounting, Product Operations, and other business partner teams, and you will mentor the engineers who build within the standards you set. This is a full-time position based out of our Oakland, California office. Technologies You’ll Use Our core systems are Salesforce, Netsuite, Coupa, Workday, and Zendesk, with BigQuery as our data warehouse. Our current integration stack includes Celigo and Fivetran itself.  You should be an expert in SQL and strong in a general purpose programming language such as Python or TypeScript, and comfortable evaluating and adopting new tools when necessary. A data engineering background is required, with expertise in data modeling, ETL/ELT development, data quality testing, and data validation at scale. Experience with dbt or a similar transformation framework, and with API-based and event-driven integration patterns, is preferred. Help us bring established data engineering practices to internal business systems, and define what those practices should be here. What You’ll Do Data Architecture and Standards Own the canonical data models for Fivetran's marketing, sales, billing, and product operations integrations, and define how business concepts map to data across our core systems. Define team-wide standards for data modeling, data quality, testing, governance, and documentation, and drive their adoption across Systems Engineering and partner teams. Contribute to the design of integration architecture, establishing guidance for when to use batch, real-time, and event-driven data movement. Delivery of Complex Initiatives Lead the design and execution of our most complex data initiatives, including bulk migrations, system consolidations, and re-implementation of core integrations, from target-state design through validation, cutover, and stabilization. Build, review, and ship the SQL and Python transformations and pipelines behind these initiatives, setting the bar for code quality on the team. Design the validation and reconciliation approach for migrations and pipeline changes, and sign off with stakeholders that record counts, values, and business rules reconcile. Reliability and Observability Design the monitoring, alerting, and data quality framework that gives end-to-end visibility into data freshness and accuracy across systems, and define the KPIs used to measure integration and data health. Lead root cause analysis on the most complex cross-system data issues, and drive the systemic fixes that prevent recurrence. Business Partnership Technical Leadership Translate ambiguous requirements from cross-functional business partners into data models and technical designs, and drive alignment across teams with competing priorities. Serve as the technical lead and subject matter expert for business data within the Systems Engineering team. Mentor other engineers and review their designs and code, raising the team's proficiency in data modeling, testing, and pipeline design. Write and maintain design documents and data flow documentation for current and target state, so decisions are legible to the team and to partners. Skills We’re Looking For 10+ years of experience in Data Engineering, Analytics Engineering, or a similar role, with a deep focus on modeling and transforming business data and a track record of technical leadership on complex, multi-team initiatives. Expert SQL proficiency, including complex transformations, performance tuning, and large-scale data reconciliation. Strong proficiency in a general purpose programming language such as Python or TypeScript, with experience building production-grade, tested data pipelines. Hands-on experience with business systems data models such as those for Salesforce, NetSuite, Coupa, Workday, or Zendesk, including a data migration, org merge, or major re-implementation. Demonstrated experience designing and delivering large-scale ETL/ELT solutions and the data quality, validation, and governance frameworks around them. Ability to evaluate trade-offs between short-term delivery and long-term data architecture health, and to communicate those decisions clearly. Ability to lead through influence, driving alignment across technical and non-technical stakeholders without direct authority. Bonus Skills Experience with dbt or a similar transformation framework. Hands-on experience with iPaaS platforms such as Celigo, Workato, or Boomi, and with reverse ETL tools, including experience choosing between them. Experience with cloud platforms such as AWS or GCP, infrastructure as code, and CI/CD for data pipelines. Familiarity with AI/ML capabilities to augment data quality, matching, and automation. By stepping into this role, you will define how Fivetran's + dbt Labs business data is modeled, governed, and moved, and lead the initiatives that make it scale. #LI-HYBRID #LI-VA1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $202,787 — $253,483.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Join us at the forefront of AI and cloud-native security as we work to secure one of the most innovative developer platforms in the world. As the Cloud Security Lead, you will shape the cloud and infrastructure security program that protects millions of developers, enables safe AI-assisted development, and ensures organizations can confidently bring our platform into enterprise environments. In this role, you will own cloud security across GCP (primary) and supplemental environments in AWS and Azure, as well as containerized systems, SaaS platforms, and our multi-tenant AI infrastructure. You’ll improve our security posture through strong architecture, posture management, secure-by-default development practices, and close partnership with Engineering, Compliance, Security Architecture, and Platform teams. This is a highly impactful, hands-on leadership role—perfect for someone who wants to solve complex security challenges at scale while influencing product, engineering, and go-to-market teams. WHAT YOU’LL DO: CLOUD SECURITY ENGINEERING - Lead configuration hardening across GCP, with additional oversight of workloads and integrations running in AWS and Azure. - Own and optimize CSPM platforms across multi-cloud environments—establishing configuration baselines, guardrails, and remediation workflows. - Secure critical SaaS platforms, ensuring proper configurations, access controls, and engineering integrations. - Lead infrastructure vulnerability management across multi-cloud systems, containers, registries, and platform services. - Enhance security across containerized and Kubernetes (GKE/EKS/AKS) workloads, including runtime protections, network policies, and workload identity. - Assess secure logging configurations across cloud/SaaS providers, ensuring audit logs, retention, and routing meet monitoring and architecture needs. SECURE DEVELOPMENT & ARCHITECTURE ENABLEMENT - Partner with engineering teams to make services secure by default, embedding security into development workflows, CI/CD pipelines, and cloud-native deployments. CROSS-FUNCTIONAL RESPONSIBILITIES - Collaborate with Security Monitoring, Compliance/GRC, Architecture, DevOps, Platform Engineering, and ML Infrastructure. - Participate in communicating security advisories, best practices, and updates to Replit’s customers. - Support incident investigations as a cloud security subject-matter expert. REQUIRED SKILLS & EXPERIENCE: - 7+ years of experience in cloud engineering, with 3+ years in a senior or lead role. - Hands-on experience with CSPM tools (Wiz, Lacework, Prisma, Orca, SCC, etc.). - Deep expertise in GCP security (IAM, VPC, KMS, GKE, Cloud Logging). - Experience securing and governing SaaS platforms and identity integrations. - Operational experience with infrastructure vulnerability management across cloud and container environments. - Working knowledge of AWS and/or Azure security services and configurations. - Experience with container and Kubernetes security across GKE, EKS, or AKS. - Strong IaC security experience with Terraform, Pulumi, or similar tooling. - Familiarity with compliance standards (SOC 2, ISO 27001, PCI DSS). PREFERRED QUALIFICATIONS: - Experience supporting engineering teams in building secure-first, cloud-native or PaaS environments. - Background securing AI/ML pipelines, model-serving infrastructure, or developer platform services. - Experience in high-growth technology or cloud-native product companies. - Experience with securing AI/agentic systems and sensitive data pipelines. - Automation/scripting with Python. - Relevant certifications (e.g., GCP Professional Cloud Security Engineer, AWS/Azure security certs). WHAT WE VALUE: - Problem-solving mindset — Ability to break down complex security and operational challenges into clear engineering solutions. - Autonomy — Comfortable leading initiatives, collaborating effectively, and driving outcomes with minimal oversight. - Communication excellence — Able to translate deep technical concepts for engineers, executives, and enterprise customers. - Continuous learning — Passion for staying current with AI security, cloud-native advances, and emerging threats. - Automation-first approach — Belief in reducing operational toil and building scalable, self-healing systems. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is building the infrastructure powering the next generation of AI. As we continue to scale as a public company, we are looking for an Investor Relations Associate to join our growing Investor Relations team. Reporting to the Head of Investor Relations, you will support the execution of Nebius’s global investor relations program and help communicate the company’s strategy, financial performance and long-term opportunity to the investment community. This is a highly analytical and cross-functional role with exposure to senior leadership and teams across Finance, Communications, Legal, Strategy, Product, Engineering and Sales. You will help prepare earnings and investor materials, analyze our business and competitive landscape, track investor sentiment and support engagement with current and prospective shareholders. The ideal candidate combines strong financial and analytical skills with intellectual curiosity, excellent communication and an interest in AI, cloud infrastructure and technology markets. Your responsibilities will include: Support quarterly earnings preparation, including business and financial analysis, shareholder letters, earnings presentations, management scripts, Q&A materials and supporting data. Maintain and develop financial and operating models to analyze Nebius’s performance, business drivers and key operating metrics. Conduct competitive and industry analysis across AI infrastructure, cloud computing, semiconductors and adjacent technology markets. Monitor sell-side research, investor feedback, peer company developments, valuation trends and broader market themes relevant to Nebius. Prepare briefing materials for investor meetings, conferences, non-deal roadshows and other investor engagements. Help track investor interactions, shareholder targeting, investor feedback and follow-up actions. Work across Product, Engineering, Sales, Finance and other functions to build a strong understanding of Nebius’s business and translate operating developments into relevant investor insights. Partner with Communications, Finance and Legal to ensure consistent and accurate external messaging. Support development of investor presentations, fact sheets, website materials and other IR communications. Help improve IR processes, data infrastructure and reporting, including identifying opportunities for automation. Develop a deep understanding of Nebius’s investor base, investment thesis and the questions and themes driving investor perception. We expect you to have: 2–4 years of relevant experience in equity research, investment banking, asset management, investor relations, corporate finance or a similarly analytical role. Strong financial analysis and modeling skills and a solid understanding of financial statements and valuation. Interest in technology markets, with a willingness to develop deep knowledge of AI infrastructure, cloud computing and related industries. Ability to synthesize complex financial, business and technical information into clear insights. Excellent written and verbal communication skills. High attention to detail and strong organizational and project-management capabilities. Ability to operate effectively in a fast-moving environment and manage multiple priorities simultaneously. Strong Excel and PowerPoint skills; familiarity with Bloomberg, FactSet, Capital IQ or similar platforms is a plus. Familiarity with public-company reporting, SEC requirements and Regulation FD is beneficial but not required. Willingness to work across time zones and travel periodically for investor events. It will be an added bonus if you have: Experience covering or working with technology, cloud infrastructure, semiconductors, enterprise software or AI-related companies. Experience in equity research or on the buy side. CFA progress or other relevant financial qualification. Experience using data and automation tools to improve analytical workflows. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. 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 $89,300 — $111,600 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 Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are looking for a Lead Technical Recruiter to help build Harvey Labs, our AI research organization. You’ll partner closely with our Chief Research Officer and technical leadership to build the team from the ground up, initially focused on post-training talent across data and evaluations, infrastructure, and modeling and training. You’ll own searches end-to-end, develop talent strategies for highly specialized AI talent markets, and help define how we identify and attract exceptional technical talent as Harvey Labs scales. This is a hands-on role with significant ownership. You’ll operate in ambiguity, develop a strong point of view on the AI talent landscape, and serve as a trusted advisor to technical leadership. WHAT YOU'LL DO - Partner closely with our Chief Research Officer and Harvey Labs leadership to translate technical priorities into recruiting strategies - Own full-cycle recruiting across specialized AI/ML, research, and engineering roles - Build deep talent maps across leading AI companies, research labs, startups, academia, and open-source communities - Develop creative, high-touch sourcing and engagement strategies for exceptional talent, from experienced researchers to emerging new grads - Help leaders define new profiles, calibrate talent bars, and evolve search strategies based on market insights - Advise leadership on talent availability, competitive dynamics, compensation, and candidate motivations - Drive searches from initial market mapping through offer strategy, negotiation, and close - Use data and market intelligence to continuously improve our recruiting strategy - Help build scalable recruiting processes and raise the bar for technical recruiting across Harvey WHAT YOU HAVE - 7+ years of full-cycle technical recruiting experience in fast-paced, high-growth environments - Experience recruiting for technical AI research teams or similarly specialized technical roles - Strong aptitude for understanding complex technical domains and evaluating candidate qualifications - Exceptional sourcer who enjoys identifying hard-to-find talent across research labs, startups, academia, open source, and other nontraditional channels - Willing to take creative, white-glove approaches to engaging and closing exceptional talent - Trusted advisor who can build credibility with highly technical leaders and candidates - Comfortable with ambiguity and able to help shape searches when the profile isn't fully defined - Strong instincts for talent and a genuine interest in the evolving AI landscape - Data-driven and highly organized, with the ability to manage multiple complex searches without sacrificing candidate experience - High ownership, low ego, strong judgment, and a willingness to roll up your sleeves - Leads by example and helps elevate the broader recruiting team - Highly resourceful and fluent with modern AI tools, using them to accelerate research, sourcing, outreach, market mapping, and recruiting operations without sacrificing judgment or the candidate experience COMPENSATION $163,900 - $245,900 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AD2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are looking for a Lead Technical Recruiter to help build Harvey Labs, our AI research organization. You’ll partner closely with our Chief Research Officer and technical leadership to build the team from the ground up, initially focused on post-training talent across data and evaluations, infrastructure, and modeling and training. You’ll own searches end-to-end, develop talent strategies for highly specialized AI talent markets, and help define how we identify and attract exceptional technical talent as Harvey Labs scales. This is a hands-on role with significant ownership. You’ll operate in ambiguity, develop a strong point of view on the AI talent landscape, and serve as a trusted advisor to technical leadership. WHAT YOU'LL DO - Partner closely with our Chief Research Officer and Harvey Labs leadership to translate technical priorities into recruiting strategies - Own full-cycle recruiting across specialized AI/ML, research, and engineering roles - Build deep talent maps across leading AI companies, research labs, startups, academia, and open-source communities - Develop creative, high-touch sourcing and engagement strategies for exceptional talent, from experienced researchers to emerging new grads - Help leaders define new profiles, calibrate talent bars, and evolve search strategies based on market insights - Advise leadership on talent availability, competitive dynamics, compensation, and candidate motivations - Drive searches from initial market mapping through offer strategy, negotiation, and close - Use data and market intelligence to continuously improve our recruiting strategy - Help build scalable recruiting processes and raise the bar for technical recruiting across Harvey WHAT YOU HAVE - 7+ years of full-cycle technical recruiting experience in fast-paced, high-growth environments - Experience recruiting for technical AI research teams or similarly specialized technical roles - Strong aptitude for understanding complex technical domains and evaluating candidate qualifications - Exceptional sourcer who enjoys identifying hard-to-find talent across research labs, startups, academia, open source, and other nontraditional channels - Willing to take creative, white-glove approaches to engaging and closing exceptional talent - Trusted advisor who can build credibility with highly technical leaders and candidates - Comfortable with ambiguity and able to help shape searches when the profile isn't fully defined - Strong instincts for talent and a genuine interest in the evolving AI landscape - Data-driven and highly organized, with the ability to manage multiple complex searches without sacrificing candidate experience - High ownership, low ego, strong judgment, and a willingness to roll up your sleeves - Leads by example and helps elevate the broader recruiting team - Highly resourceful and fluent with modern AI tools, using them to accelerate research, sourcing, outreach, market mapping, and recruiting operations without sacrificing judgment or the candidate experience COMPENSATION $163,900 - $245,900 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AD2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a SOX Director - Compute and Infrastructure to join our Internal Audit team at Anthropic. In this role, you will lead financial risk assessment and internal control design over compute and infrastructure.  This is Anthropic's largest cost and one of the most complex areas of our financial reporting.  You'll focus on cloud spend, usage-based costs, vendor commitments, accruals, and cost allocation, as we scale rapidly toward an IPO. This is a unique opportunity to build SOX controls at an AI-first company, in a domain where few established playbooks exist. Compute is purchased under multi-year agreements with multiple providers, metered in third-party environments, accrued from internal telemetry, and increasingly provisioned and scheduled by automated systems and agents. You will help define how controls work in that environment for both business and IT environments, from reliance on service providers to full-population monitoring of high-volume usage data, while maintaining the rigor required for public company compliance. As the SOX Director, Compute and Infrastructure, you will own scoping, control design, testing, remediation, and reporting for compute and infrastructure processes, partnering directly with Compute Accounting, Finance Analytics & BI, Infrastructure Engineering, Finance & Strategy, and Procurement to design scalable controls, oversee documentation, and support communication with external auditors. This role reports to the Head of Business Controls and plays a critical part in strengthening internal control maturity through pre-IPO readiness and beyond. Key responsibilities Lead financial risk and internal control design for compute and infrastructure accounting, including cloud spend, usage-based costs, vendor commitments, credits, refunds, accruals, cost allocation, budgeting, and asset lifecycle management Develop and execute the SOX control plan and roadmap for compute and infrastructure, making defensible prioritization calls on what must be controlled now and what can follow Own scoping, risk assessment, walkthroughs, testing, remediation, and reporting activities for compute and infrastructure processes Build scalable, automated, and sustainable controls to support growth through pre-IPO and post-IPO readiness Pioneer the use of AI and automation to enhance control effectiveness, including full-population matching of usage to invoices, continuous monitoring, and anomaly detection Design, implement, and monitor controls over the completeness, accuracy, and cutoff of compute cost, including monthly accruals built from internal workload telemetry and the true-up to provider invoices Establish controls over multi-year provider agreements, including reserved capacity, minimum spend commitments, usage-based charges, signing credits, service-level credits, refunds, and billing corrections Design and test controls over the allocation of compute cost between cost of revenue and research and development, including workload tagging, shared clusters, and changes to tagging logic or allocation models Establish the investigation threshold and variance criteria used in the control design to ensure the precision needed to detect a material misstatement Design and test controls over infrastructure related control inclusive of development of an asset lifecycle management system Oversee control documentation and ensure audit-ready evidence is maintained for all compute and infrastructure processes, in compliance with US GAAP and SEC reporting requirements Own control requirements across high-volume financial data pipelines, partnering with Finance Analytics &BI, Finance & Strategy, and Accounting to validate completeness, accuracy, classification, general-ledger mapping, key reports, and monthly close governance Own the identification and control treatment of key reports and Information Produced by the Entity (IPE) used in compute accruals, allocation, and the close Partner with IT SOX and engineering teams on the IT general controls and automated controls that support compute data, including interface, ITAC’s, and change management over pipelines and models Embed control requirements into new systems, pipelines, and process changes at design time Lead the assessment of reliance on cloud providers that meter and bill compute, including review of SOC 1 reports, scope and period coverage, bridge letters, and exceptions or qualified opinions Define and monitor complementary user entity controls, and design alternative procedures where a provider report is missing, does not cover the relevant system or period, or includes exceptions Assess how the use of AI in Finance and in the close changes what controls need to cover, and update the control environment accordingly Partner with Compute Accounting, Finance Analytics & BI, Infrastructure Engineering, Procurement, and Finance & Strategy to implement scalable controls over compute and infrastructure Work with the Compute Controller and Chief Accounting Officer organizations to align control priorities with business objectives Train and enable process owners and control performers, many of whom are new to SOX, on control execution, evidence retention, and what audit-ready means Support management's assessment of internal controls over financial reporting (ICFR) and related disclosures Serve as the primary point of contact for external auditors on compute and infrastructure SOX matters Prepare the Company's formal positions on control design, provider reliance, and deficiency evaluation for compute and infrastructure Manage audit requests, coordinate testing schedules, and facilitate walkthroughs across compute and infrastructure processes Track and report on control status, testing results, and remediation to leadership Drive alignment with external auditors on testing approaches, reliance strategies, and deficiency evaluation and aggregation assessment Minimum qualifications Have designed controls over cloud, compute, or infrastructure cost, or over a comparable high-volume, usage-based process, and understand control objectives, IPE, and sufficiency of audit evidence Have proven ability to establish or scale SOX controls at newly public or pre-IPO companies Possess deep understanding of compute accruals, vendor commitments, cost allocation, financial close, and US GAAP requirements Have experience evaluating service organization reports (SOC 1 and SOC 2) and complementary user entity controls Are comfortable working with large datasets and data pipelines, and partnering with data science and engineering teams Can structure ambiguous control problems and influence across stakeholders without direct authority Have strong project management, analytical, and communication skills Hold a Bachelor's degree in Accounting, Finance, Business Administration, IT/Engineering Are passionate about building scalable processes that support organizational growth and Anthropic's mission to create safe AI Preferred qualifications Have 12+ years of hands-on SOX, internal audit, or internal controls experience, preferably in both Big 4 and in-house roles at a fast-paced technology company CPA (or similar certification) and/ or CISA Familiarity with cloud provider billing and commitment structures (AWS, GCP, Azure) SQL and comfort working directly with usage, telemetry, and cost data to validate what the systems are telling you Experience with controls over cost of revenue, gross margin reporting, and allocation methodologies Interest in or experience applying AI/ML technologies to audit, compliance, or risk management processes Understanding of lease accounting (ASC 842) and other accounting standards relevant to infrastructure and capacity arrangements Experience working at a high-growth AI or technology company Familiarity with financial data governance, internal controls over financial reporting (ICFR), and SEC disclosure requirements 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: $230,000 — $300,000 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 - Riyadh MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. The Field Architect role at MinIO is a senior customer-facing technical position focused on defining, validating, and guiding architectures for AI, analytics, cloud-native applications, and large-scale data platforms. You will serve as a trusted technical advisor to customers, partners, and internal teams, translating business and application requirements into robust technical designs that deliver measurable outcomes. You will collaborate closely with the broader MinIO team through technical discovery, architecture design, proof-of-concept (PoC) delivery, production onboarding, performance validation, and long-term expansion. Success in this role requires hands-on expertise across the data stack, strong architecture and communication skills, and ownership of customer technical outcomes. What You Will Do: Technical Leadership & Architecture Technical Architecture and Discovery: Lead technical discovery with customers and partners to understand their business goals, data sources, application requirements, infrastructure constraints, and success criteria. Design end-to-end architectures that address those requirements. Data Platform Architecture: Design solutions across the full data stack, including ingestion and change data capture (CDC), batch and streaming pipelines, data processing, lakehouse storage and table formats, catalogs, query and analytics engines, orchestration, data quality, governance, and AI integration. Understand how these components work together and guide customers through architecture decisions and tradeoffs. AI and Analytics Workload Design: Define and validate architectures for AI/ML training and inference, analytics, lakehouse environments, high-performance data pipelines, and modern application data services. Object Storage and S3 Expertise: Serve as a subject matter expert in AIStor, object storage, S3-compatible architectures, distributed systems, replication, erasure coding, security, performance tuning, and large-scale namespace design. Customer Engagement & PoC Delivery Customer Technical Advisor: Build trusted relationships with customer technical stakeholders across data engineering, analytics, AI, infrastructure, platform, security, application, and operations teams. Guide customers toward informed architecture decisions. PoC Ownership and Delivery: Plan and conduct customer PoCs from initial scope through final technical review. Agree on success criteria, design and deploy the solution, integrate the required data stack components, build representative use cases, run functional and performance tests, troubleshoot issues, document results, and drive the PoC to a clear outcome and production plan. Customer Success Beyond the Win: Partner with Customer Engineering, Product Management, and Engineering to help customers move from PoC to production and expand adoption across additional workloads and teams. Ecosystem, Enablement & Field Operations Cloud-Native and Kubernetes Guidance: Provide technical leadership on Kubernetes, containers, automation, and deployment patterns across private, public, and hybrid cloud environments. Solution Integration: Work with customer teams and technology partners to integrate data sources, ingestion and streaming tools, processing and analytics engines, AI platforms, identity systems, observability tools, and infrastructure components. Technical Presentations and Enablement: Deliver architecture presentations, whiteboard sessions, demonstrations, workshops, and technical enablement for customers, partners, and internal teams. RFP, RFI, and Technical Response Support: Lead or contribute to technical responses covering the full data platform, including architecture, integrations, security, scalability, performance, and operational requirements. Product Intelligence & Market Expertise Product and Engineering Feedback: Capture customer requirements, PoC findings, integration needs, and field feedback. Work with Product and Engineering teams to resolve gaps and inform priorities. Competitive and Market Expertise: Stay current on object storage, data lakehouse, AI infrastructure, analytics, Kubernetes, cloud, and competing data platforms. Explain technical differentiation in the context of customer use cases. Your Skills and Experience: 10+ years of experience in a senior customer-facing technical role such as Field Architect, Solutions Architect, Sales Engineer, Systems Engineer, or Technical Consultant. Hands-on experience designing, integrating, and troubleshooting end-to-end data platforms. This should include several of the following: ingestion, CDC, batch and streaming processing, lakehouse architecture, catalogs, query engines, orchestration, data quality, governance, and AI/analytics workloads. Demonstrated experience leading customer PoCs, including defining success criteria, deploying and integrating components, validating functionality and performance, resolving technical issues, and presenting results. Strong understanding of object storage and S3-compatible architectures, including security, replication, data protection, performance, and scale-out design. Hands-on experience with Linux, networking, storage systems, containers, Kubernetes, and modern data center infrastructure. Practical experience with relevant data stack technologies, such as Kafka, Debezium, NiFi, Spark, Flink, Trino, Starburst, Iceberg, Delta Lake, or data catalogs. Experience with every listed technology is not required. Experience designing or supporting AI, machine learning, analytics, lakehouse, or large-scale data pipeline environments. Experience with public and hybrid cloud environments, including AWS, Azure, GCP, OCI, or private cloud platforms. Ability to lead technical discovery, design architectures, build demonstrations, analyze performance, troubleshoot integrations, and communicate tradeoffs clearly. Strong verbal, written, whiteboarding, and presentation skills, with the ability to communicate with both technical and executive audiences. Ability to work collaboratively across customers, partners, Sales, Product, Engineering, and Customer Engineering teams. Strong customer-success orientation, intellectual curiosity, sense of ownership, and ability to prioritize effectively in a fast-moving environment. Willingness to travel as needed to support customers, partners, field events, and internal team activities. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field; equivalent practical experience will also be considered. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Remote, UK MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. European governments, research institutions, and public bodies are investing in large-scale AI, analytics, and data infrastructure. MinIO's software-defined, S3-compatible, cloud-native object storage is built for the performance and scale these workloads demand. We are seeking a technical, creative, and entrepreneurial Sr Regional Sales Manager to lead MinIO's growth in the public sector across EU Region. You will sell to national and regional government, research and HPC centres, universities, healthcare bodies, defence and security agencies, and EU institutions. You will combine technical depth in storage, data lake/lakehouse, AI/ML, and HPC with a real understanding of how the public sector buys, so you can shape and win complex, multi-stakeholder deals of €250K+. What You Will Do Drive Public Sector Business Development: Identify and develop opportunities across ministries, agencies, research organisations, and public institutions. Engage early, before requirements are written, to influence strategy, architecture, and budget planning. Lead Technical and Vision Selling: Articulate how MinIO delivers transformational outcomes for data infrastructure, AI/ML, analytics, and HPC, not just incremental improvements. Translate technical capabilities into mission outcomes and public value. Navigate Public Procurement: Manage the full cycle from early engagement through tender, evaluation, and award. This includes EU and national procurement rules, framework agreements, and dynamic purchasing systems. Respond to RFIs, RFPs, and ITTs with Solutions Engineering, Legal, and Contracts. Close Complex Deals: Own opportunities with longer, committee-driven sales cycles, from first contact through to award. Compete and Win Against Legacy Vendors: Position cloud-native, S3-compatible object storage against traditional storage vendors by demonstrating its advantages for modern workloads. Make the case on cost, flexibility, and performance. Support Security Reviews: Work with customers and internal teams to respond to security questionnaires and architecture reviews, involving Product and Legal as needed. Build the Business Case: Develop ROI and total-cost-of-ownership models that speak to public-sector priorities: value for money, risk reduction, and long-term sustainability. Partner-First Territory Strategy: Build and run co-selling plans with resellers, system integrators, and alliance partners, including those holding public-sector frameworks, to extend coverage and reach buyers who purchase through partners. Collaborate Cross-Functionally: Work with Solutions Engineering, Product, Legal, and Marketing on tailored solutions, successful POCs and pilots, and a smooth path from award to deployment. Forecast with Discipline: Maintain accurate pipeline management, realistic forecasting that reflects procurement timelines and budget cycles, and clear account plans. Your Skills and Experience Public Sector Sales Expertise: 7+ years of enterprise or public-sector sales in the EU, with consistent quota attainment and average deal sizes of €250K+. Procurement Fluency: Hands-on experience with public tenders and frameworks, and with working through procurement officers, technical evaluators, and budget holders. Technical Acumen: Strong knowledge of storage, data infrastructure, data lakehouse, AI/ML, and HPC environments. You can engage architects and researchers and connect technical concepts to mission and policy outcomes. Public Sector IT Awareness: Working knowledge of the data protection and security requirements that shape European public-sector IT purchasing. Partner-Led Approach: Track record of building co-selling strategies with channel, SI, and alliance partners. Competitive Selling: Proven ability to displace entrenched vendors with a differentiated value proposition. Consultative, Challenger Mindset: You teach, tailor, and challenge customer thinking, and you shape requirements rather than just responding to them. Startup Mindset: Comfortable with ambiguity and building from the ground up in a fast-moving company. Network: Established relationships within UK/EU public institutions, research communities, and the partner ecosystem. Communication: Excellent presentation, negotiation, and relationship-building skills with technical and executive stakeholders. Fluency in English and other relevant local languages is required. Education: BA/BS in computer science, engineering, business, or a related field; MBA preferred. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Role DRW is building out its offensive security capability, and we’re looking for a Senior Offensive Security Engineer to lead the charge. In this role, you’ll plan and execute red team engagements, penetration tests, and adversary simulations against our trading infrastructure, corporate environment, and cloud platforms, acting as a trusted adversary who helps us find and fix weaknesses before anyone else does. You’ll work closely with our security, infrastructure, and trading teams to translate what you find into real improvements, and you’ll help shape the methodology, tooling, and roadmap for offensive security at DRW as the function matures. This is a hands-on, high-trust role for someone who thinks like an attacker, communicates like a partner, and cares about making the firm measurably harder to compromise. What You'll Do Plan and execute red team engagements and adversary simulations against trading systems, corporate IT, and cloud environments, modeling realistic attacker tactics, techniques, and procedures (TTPs) mapped to frameworks such as MITRE ATT&CK Conduct penetration tests across networks, web and internal applications, APIs, and cloud infrastructure, and report findings with clear, actionable remediation guidance Design and build custom tooling, scripts, and exploits to emulate adversary behavior, test control effectiveness, and validate detection coverage Partner with the Security Engineering and SOC teams in purple-team exercises to close gaps between what attackers can do and what defenders can see Run social engineering and phishing simulations to assess and improve organizational security awareness Identify, validate, prioritize, and track vulnerabilities and control weaknesses through to remediation in collaboration with infrastructure, platform, and application owners Present engagement results and risk narratives to both technical teams and senior leadership in a way that drives action Stay current on the threat landscape, emerging TTPs, and offensive tooling, and bring that knowledge back into DRW’s defenses Assess the security of AI and LLM-integrated systems, including prompt injection, model manipulation, data poisoning, and abuse of agentic workflows, and work with teams building these systems to harden them Leverage AI-assisted tooling to accelerate reconnaissance, vulnerability discovery, and exploit development, and evaluate new AI-powered offensive techniques as they emerge Help define and mature DRW’s offensive security methodology, standards, and tooling, and mentor other engineers on the security team What We're Looking For 5+ years of hands-on experience in offensive security, penetration testing, or red teaming, including full engagement lifecycle work: reconnaissance, initial access, privilege escalation, lateral movement, persistence, and exfiltration Strong scripting or programming ability for building and adapting offensive tooling Solid understanding of networking fundamentals, Windows, macOS, and Linux internals, identity providers, and cloud platforms Practical experience with common offensive security tools (e.g., Cobalt Strike, Metasploit, BloodHound, Burp Suite, Nmap) and a track record of building your own when the situation calls for it Working knowledge of the MITRE ATT&CK framework, adversary emulation, and detection evasion techniques, along with enough understanding of defensive controls and tooling to help defenders improve A track record of clear, precise reporting and communication and you can translate technical findings into risk that both engineers and executives understand Experience with smart contract auditing and blockchain security Familiarity with AI/ML security risks, including adversarial attacks on models, prompt injection, and the offensive and defensive implications of LLM-powered tooling A collaborative mindset: you see red teaming as a way to make the whole organization more secure, not just to find flaws For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: New York City DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Role DRW is building out its offensive security capability, and we’re looking for a Senior Offensive Security Engineer to lead the charge. In this role, you’ll plan and execute red team engagements, penetration tests, and adversary simulations against our trading infrastructure, corporate environment, and cloud platforms, acting as a trusted adversary who helps us find and fix weaknesses before anyone else does. You’ll work closely with our security, infrastructure, and trading teams to translate what you find into real improvements, and you’ll help shape the methodology, tooling, and roadmap for offensive security at DRW as the function matures. This is a hands-on, high-trust role for someone who thinks like an attacker, communicates like a partner, and cares about making the firm measurably harder to compromise. What You'll Do Plan and execute red team engagements and adversary simulations against trading systems, corporate IT, and cloud environments, modeling realistic attacker tactics, techniques, and procedures (TTPs) mapped to frameworks such as MITRE ATT&CK Conduct penetration tests across networks, web and internal applications, APIs, and cloud infrastructure, and report findings with clear, actionable remediation guidance Design and build custom tooling, scripts, and exploits to emulate adversary behavior, test control effectiveness, and validate detection coverage Partner with the Security Engineering and SOC teams in purple-team exercises to close gaps between what attackers can do and what defenders can see Run social engineering and phishing simulations to assess and improve organizational security awareness Identify, validate, prioritize, and track vulnerabilities and control weaknesses through to remediation in collaboration with infrastructure, platform, and application owners Present engagement results and risk narratives to both technical teams and senior leadership in a way that drives action Stay current on the threat landscape, emerging TTPs, and offensive tooling, and bring that knowledge back into DRW’s defenses Assess the security of AI and LLM-integrated systems, including prompt injection, model manipulation, data poisoning, and abuse of agentic workflows, and work with teams building these systems to harden them Leverage AI-assisted tooling to accelerate reconnaissance, vulnerability discovery, and exploit development, and evaluate new AI-powered offensive techniques as they emerge Help define and mature DRW’s offensive security methodology, standards, and tooling, and mentor other engineers on the security team What We're Looking For 5+ years of hands-on experience in offensive security, penetration testing, or red teaming, including full engagement lifecycle work: reconnaissance, initial access, privilege escalation, lateral movement, persistence, and exfiltration Strong scripting or programming ability for building and adapting offensive tooling Solid understanding of networking fundamentals, Windows, macOS, and Linux internals, identity providers, and cloud platforms Practical experience with common offensive security tools (e.g., Cobalt Strike, Metasploit, BloodHound, Burp Suite, Nmap) and a track record of building your own when the situation calls for it Working knowledge of the MITRE ATT&CK framework, adversary emulation, and detection evasion techniques, along with enough understanding of defensive controls and tooling to help defenders improve A track record of clear, precise reporting and communication and you can translate technical findings into risk that both engineers and executives understand Experience with smart contract auditing and blockchain security Familiarity with AI/ML security risks, including adversarial attacks on models, prompt injection, and the offensive and defensive implications of LLM-powered tooling A collaborative mindset: you see red teaming as a way to make the whole organization more secure, not just to find flaws The annual base salary range for this position is $175,000 to $275,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Role DRW is building out its offensive security capability, and we’re looking for a Senior Offensive Security Engineer to lead the charge. In this role, you’ll plan and execute red team engagements, penetration tests, and adversary simulations against our trading infrastructure, corporate environment, and cloud platforms, acting as a trusted adversary who helps us find and fix weaknesses before anyone else does. You’ll work closely with our security, infrastructure, and trading teams to translate what you find into real improvements, and you’ll help shape the methodology, tooling, and roadmap for offensive security at DRW as the function matures. This is a hands-on, high-trust role for someone who thinks like an attacker, communicates like a partner, and cares about making the firm measurably harder to compromise. What You'll Do Plan and execute red team engagements and adversary simulations against trading systems, corporate IT, and cloud environments, modeling realistic attacker tactics, techniques, and procedures (TTPs) mapped to frameworks such as MITRE ATT&CK Conduct penetration tests across networks, web and internal applications, APIs, and cloud infrastructure, and report findings with clear, actionable remediation guidance Design and build custom tooling, scripts, and exploits to emulate adversary behavior, test control effectiveness, and validate detection coverage Partner with the Security Engineering and SOC teams in purple-team exercises to close gaps between what attackers can do and what defenders can see Run social engineering and phishing simulations to assess and improve organizational security awareness Identify, validate, prioritize, and track vulnerabilities and control weaknesses through to remediation in collaboration with infrastructure, platform, and application owners Present engagement results and risk narratives to both technical teams and senior leadership in a way that drives action Stay current on the threat landscape, emerging TTPs, and offensive tooling, and bring that knowledge back into DRW’s defenses Assess the security of AI and LLM-integrated systems, including prompt injection, model manipulation, data poisoning, and abuse of agentic workflows, and work with teams building these systems to harden them Leverage AI-assisted tooling to accelerate reconnaissance, vulnerability discovery, and exploit development, and evaluate new AI-powered offensive techniques as they emerge Help define and mature DRW’s offensive security methodology, standards, and tooling, and mentor other engineers on the security team What We're Looking For 5+ years of hands-on experience in offensive security, penetration testing, or red teaming, including full engagement lifecycle work: reconnaissance, initial access, privilege escalation, lateral movement, persistence, and exfiltration Strong scripting or programming ability for building and adapting offensive tooling Solid understanding of networking fundamentals, Windows, macOS, and Linux internals, identity providers, and cloud platforms Practical experience with common offensive security tools (e.g., Cobalt Strike, Metasploit, BloodHound, Burp Suite, Nmap) and a track record of building your own when the situation calls for it Working knowledge of the MITRE ATT&CK framework, adversary emulation, and detection evasion techniques, along with enough understanding of defensive controls and tooling to help defenders improve A track record of clear, precise reporting and communication and you can translate technical findings into risk that both engineers and executives understand Experience with smart contract auditing and blockchain security Familiarity with AI/ML security risks, including adversarial attacks on models, prompt injection, and the offensive and defensive implications of LLM-powered tooling A collaborative mindset: you see red teaming as a way to make the whole organization more secure, not just to find flaws The annual base salary range for this position is $175,000 to $275,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1