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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partner Account Manager for AI-Native and Boutique SI Partners at Anthropic, you will own the relationship with a portfolio of our key AI-native and boutique systems integrator partners. These are the specialist services firms enterprises turn to when they want to design, build, and deploy production-grade AI with Claude, and they are among the fastest-moving partners in our ecosystem. Your job is to turn each of those relationships into a growing joint business: a shared plan, a healthy pipeline, and customers in production. This is a commercial role first. You will build joint business plans with partner leadership, work with your partners' sales teams on live opportunities, team up with Anthropic's Partner Sales team to bring those partners into the right accounts, and keep a clear, accurate view of how each partner is performing. You will work closely with our Partner Sales, Partner Programs, Partner Support, Partner Activations, and Partner Success teams so your partners get the full value of what Anthropic offers, and you will bring what you hear from partners back to those teams. This role reports to the Head of Boutique & AI-Native SIs and works closely with sales, product, and applied AI teams to make sure our SI partners are equipped to win and deliver transformative AI solutions for their clients. Responsibilities Partner Development and Go-to-Market Own and manage relationships with a portfolio of key AI-native and boutique SI partners, from practitioners through to founders and executive leadership Develop and execute joint go-to-market strategies that drive partner-sourced and partner-influenced pipeline Lead partner business planning, including setting mutual goals, identifying target accounts, and defining success metrics Work directly with your partners' sales teams to identify opportunities and support deal progression Partner closely with Anthropic's Partner Sales team, who lead introductions and co-sell with our account executives and account teams, so your partners are positioned on the right accounts and opportunities Run a regular operating cadence with each partner, including business reviews against the joint plan Cross-Functional Partnership Work hand in hand with Partner Sales as your primary go-to-market counterpart. You own the partner relationship and the joint business plan; Partner Sales works with Anthropic's sales leaders, account executives, and solutions architects to bring your partners into deals at the right time with clear roles, and owns co-sell execution and the partner-linked pipeline and forecast Work side by side with Partner Success Leads on the partners you share. You own the overall partner relationship and the commercial plan; the Partner Success Lead owns each customer engagement from partner match to completed outcome, including delivery quality and the customer's Claude usage Build executive-level trust with each partner's practice and delivery leadership together with Partner Success, so that when an engagement needs the partner to restaff, escalate, or invest, the ask is taken seriously Align with Partner Success on how each partner's Claude practice is growing, including certified bench depth, a repeatable offering in a chosen industry lane, and published customer stories, and carry that into the joint business plan and go-to-market Bring the commercial view to the quarterly practice reviews Partner Success runs with each partner, so the partner hears one set of joint goals across pipeline, completed engagements, customer adoption, and certified practitioners Keep the handoffs clean: with Partner Sales when a partner deal closes, and with Partner Success when an engagement is matched to one of your partners, so both teams have what you know about the partner's strengths, capacity, and proof points Work with Partner Programs to help your partners understand and progress through Claude Partner Network tiers, requirements, and benefits Work with Partner Activations to bring your partners into the customer engagements where they can have the most impact Work with Partner Support to get partner questions and issues resolved quickly, and to spot patterns worth fixing at the source Work with Partner Enablement so partners have the training, certification pathways, and technical resources they need to build and deliver with Claude Serve as the voice of your partners inside Anthropic, informing program, enablement, and product priorities Partner Operations and Performance Tracking Maintain accurate tracking of partner-sourced and partner-influenced revenue using our existing systems, tools, and processes, including deal registration and CRM discipline Keep partner performance dashboards and reporting current, and use them to run partner reviews and internal updates Follow our standard operating procedures for partner activities, and help keep them documented and up to date Maintain partner data integrity and consistent measurement across your portfolio Track KPIs for each partner and for the overall health of your portfolio Assess partner contribution, engagement, and growth potential using established frameworks, and recommend where Anthropic should invest Track and report the return on partner investments such as funding and enablement, and give Partner Success your recommendation on funding requests from your partners Identify opportunities to improve how we work with partners and bring them to the teams that own those programs You may be a good fit if you have 5+ years of experience in partner development, channel management, or partner management Demonstrated success driving revenue through partners, with pipeline and bookings results you can point to Experience working with systems integrators, consulting firms, or similar enterprise-focused services partners Strong business acumen, with the ability to support deal progression and navigate complex partner relationships A commercial orientation: you are a business driver first and a relationship manager second, and you are comfortable asking a partner to invest in its own capability Strong analytical skills, with experience tracking KPIs, working from dashboards, and using data to decide where to spend your time Outstanding communication and relationship-building skills at all levels, from partner practitioners to founders and executives A track record of working well across functions to get things done for partners without owning every team involved Experience with CRM systems and partner relationship management tools Comfort with ambiguity and a fast-changing environment Low ego, high curiosity, and a habit of making the people around you better Willingness to travel to support partner relationships and joint customer engagements Strong candidates may also have Experience in AI, cloud platforms, or other high-growth technology categories where partner enablement and technical differentiation are critical A background working at or with AI-native services firms, boutique consultancies, or systems integrators An understanding of how boutique services firms run, including how they staff, price, and fund a new practice An understanding of enterprise sales cycles and how partners influence complex, multi-stakeholder deals Hands-on familiarity with Claude, Claude Code, and how enterprises build and deploy LLM applications Experience at a high-growth company where the program was still being built Passion for AI and an understanding of how enterprises are adopting AI technologies 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: $215,000 — $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: Connecticut_Remote; New York_Remote What you'll do Build and maintain strong client relationships by serving as the primary point of contact and trusted advisor for all client communication, support, and strategic partnership needs Lead recurring client meetings, manage follow-up actions, and proactively identify opportunities to improve client satisfaction, retention, and account growth Develop long-term client partnerships that deliver operational and financial value while identifying opportunities to optimize, retain, and expand business within existing accounts Collaborate cross-functionally with Operations, Product, Finance, IT, and other internal teams to resolve service delivery issues, support contractual obligations, and ensure successful client outcomes Maintain a strong understanding of product configurations, system functionality, and cross-service workflows in order to effectively support clients and troubleshoot issues Oversee client onboarding, implementations, project execution, software releases, and UAT activities to ensure requirements are met and changes are successfully deployed Monitor client performance, analyze operational and financial data, identify trends or anomalies, and communicate risks, recommendations, and resolutions to internal and external stakeholders Support client account health through oversight of reporting, account reconciliation, invoice accuracy, overdue revenue recovery, and monthly settlement deliverables Educate and guide clients on product capabilities, operational processes, and industry best practices to drive adoption and long-term success Manage multiple priorities in a fast-paced environment while demonstrating strong organizational skills, critical thinking, communication, and problem-solving abilities Maintain knowledge of applicable legislation, regulatory requirements, and client contracts to support compliance and operational success Willingness and ability to travel up to 30–50% as needed for client meetings, onsite support, implementations, industry conferences, and relationship management activities. What we're looking for Bachelor's degree preferred, or an equivalent combination of education, training and experience is required. 3-5 years' experience in a client-facing environment, account management or similar role. Experience working with government agencies, municipalities, public sector clients, or regulated industries strongly preferred Strong understanding of customer contracts, compliance requirements, and applicable legislation within a client service environment preferred Demonstrated ability to build trusted client relationships, drive client satisfaction and retention, and identify opportunities for account growth and operational improvement Proven ability to manage escalated client concerns, navigate difficult conversations, and drive issue resolution with professionalism, urgency, and sound judgment Ability to successfully guide clients through operational and system-related changes, including implementations, process improvements, software enhancements, and transitions Strong analytical, organizational, and problem-solving skills with the ability to assess complex situations, interpret data, identify risks, and develop effective solutions Excellent verbal and written communication skills with the ability to effectively communicate across all levels of internal and external stakeholders, including executive leadership and government representatives Experience gathering, documenting, and communicating business and client requirements to cross-functional internal teams Ability to manage multiple priorities, adapt to shifting business needs, and maintain accountability in a fast-paced environment Self-motivated and action-oriented with the ability to work independently while also collaborating effectively within cross-functional teams Strong technical aptitude with proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook); experience with CRM or client management platforms preferred Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice(opens in new window) Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. .

Location: Sterling, Virginia, United States Join the Team! Is technology your passion? Do you want to work with smart, forward-thinking individuals? Do you want to grow in a career you love? At Align, our professionals are the key to our success. We don’t just hire talent, we invest in exceptional people who are forward-thinking, results-driven, and passionate about what they do. We’re a group of tech-savvy professionals who are motivated by making an impact. Our culture is one of unbounded opportunity that celebrates the passions, skills and ideas of our team—work hard, play hard, be smart! We believe great communities lead to great companies. That’s why we offer a dynamic workplace where you feel inspired, engaged and innovative. We offer professionals opportunities to train in the leading technologies, make an impact within the industry and acquire valuable new skills whether on client sites or in one of our regional offices. Position Overview Align is seeking a hands-on Procore Systems Analyst to support, optimize, and continuously improve the connection between our data center construction project management platform (Procore) and our cloud-based accounting system (Sage Intacct). This role bridges operations, finance, and technology, ensuring both platforms work in sync to deliver accurate data, streamlined workflows, and actionable insights for leadership. The SME will go beyond initial integration, taking full ownership of system administration, task management, user permissions, reporting, training, and process optimization to ensure long-term adoption and operational excellence. The ideal candidate will be an operational problem-solver with a strong grasp of construction/data center financial workflows, accounting processes, and cross-department coordination. You’ll oversee integration functionality and act as the in-house expert - leading process improvements, task oversight, training programs, and reporting initiatives that drive efficiency and informed decision-making. This hybrid role will work 2 days per week in our Sterling, VA office. This is a full-time salaried position offering $100,000 to $115,000 (commensurate with experience), comprehensive benefits, paid time off, paid training, and performance-based bonuses. Key Responsibilities Operational Integration Leadership Serve as a primary operational owner and SME of the Procore–Sage Intacct integration and system administration, ensuring accurate and efficient data flow between systems. Partner with project management, accounting, and leadership teams to align system processes with operational and financial goals. Oversee the full lifecycle of integration projects - from requirements gathering to launch, maintenance, and continuous improvement. Training, Change Management & SME Support Train project managers, finance teams, and operations staff on Tasks tool usage, system workflows, and integration best practices. Serve as the go-to resource for troubleshooting, best practices, and post-integration operational guidance. Maintain comprehensive documentation and SOPs for task workflows, permissions, system configurations, and integration processes. Task Management & Oversight Create, assign, and track project tasks in Procore using the Tasks tool to ensure accountability and visibility. Set due dates, categories, and statuses for tasks; integrate them into users’ “My Open Items” dashboards for better tracking. Monitor task progress to ensure alignment with project timelines and deliverables. User Permissions & Access Control Configure and manage permission templates to ensure appropriate access levels across teams. Assign users to roles with Standard or Admin access to the Tasks tool. Customize permissions for unique project or departmental needs. System Configuration & Maintenance Enable and configure the Tasks tool for new and existing projects via Project Admin settings. Create and manage task categories in the Company Admin tool to organize workflows. Ensure the Tasks tool is active in project templates for consistent deployment. Workflow & Process Optimization Streamline finance and operations workflows (AP, AR, job costing, budgeting, reporting) to reduce manual entry and errors. Identify and implement operational best practices to enhance efficiency across departments. Leverage automation tools and third-party connectors to support scalable growth. Reporting & Dashboard Management Tasks tool usage, system workflows, and integration best practices. Serve as the go-to resource for troubleshooting, best practices, and post-integration operational guidance. Maintain comprehensive documentation and SOPs for task workflows, permissions, system configurations, and integration processes. Required Qualifications 4-6 years of hands-on experience managing Procore and Sage Intacct system administration in an operational or project management capacity. Background in accounting, finance, or operational leadership (CPA, CMA, or construction accounting certification a plus). Strong understanding of construction accounting concepts (job costing, WIP, commitments, retainage, etc.). Proven experience streamlining workflows, managing permissions, and improving cross-team collaboration. Proficiency with Excel, data reconciliation, and system-driven reporting. Strong communication skills and ability to translate technical concepts for non-technical stakeholders. Preferred Qualifications Experience with related administration and integrations (e.g., Sage Intacct, Agave, & Avalara). Bachelor’s degree in Construction Management (or equivalent work experience). Candidates with Procore Certification in areas such as Project Manager, Project Manager: Financial Management, Project Manager: Portfolio Financials Familiarity with project management best practices in the construction or data center industry. To support a fair, consistent, and high-quality hiring experience, some interviews may be recorded. These recordings help our team focus fully on the conversation at hand, rather than note-taking, and allow us to better evaluate and improve our recruitment process. Recordings are used solely for internal purposes such as training, quality assurance, and process improvement. Candidates will be informed in advance and asked to provide consent before any recording takes place. Tier 2 Benefits and Perks: At Align, we believe that supporting our employees both personally and professionally is key to our success. We offer a competitive benefits package designed to promote health, wellness, financial security, and work-life balance, including: Comprehensive Medical, Dental, and Vision coverage Health Savings Account (HSA) and Flexible Spending Account (FSA) options 401(k) plan with a dollar-for-dollar company match at 3% up to an annual maximum of $5k. Complimentary ClassPass membership to support your health and wellness goals Generous Paid Time Off (PTO) Company-paid holidays Cellphone Reimbursement Program Floating Holiday to celebrate a day that is meaningful to you Pre-tax commuter benefits, where applicable Employee wellness programs, events, and team-building activities Employee referral program Align is a premier global provider of technology infrastructure solutions. Align specializes in designing and deploying technology infrastructure solutions from the data center to the desktop as well as providing managed IT services for clients. Our professional services team, which includes Data Center Solutions , provide strategic consulting, design, project management, engineering, implementation and support. Our best-in-class Managed Services team provides IT services and cybersecurity advisory for clients within the Alternative Investment industry. Align is a Microsoft Tier 1 Cloud Solutions Provider (CSP) and Gold Partner. Our client centric approach and passion for driving IT innovation has enabled us to provide tailored solutions and business transformations for over three decades. Leading firms have relied on Align to provide forward-thinking technology strategies that support their current and future business needs. Our teams have flawless track records of delivering technical solutions and have established long-standing relationships with an impressive client list of both Global 1000 and SMB clients. We work across a diverse list of industries including financial services, life sciences (pharmaceutical and health care), retail, technology, media and telecommunications. For more information, visit: www.align.com

Location: New Jersey, 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. DC Facilities Engineer Level of Responsibility: Independently operates, maintains, troubleshoots, and takes end-to-end ownership of critical power, critical cooling, liquid cooling, and DCIM/BMS infrastructure systems; participates in incident management and commissioning activities; and mentors Associate DC Facilities Engineers. Role profile: This is a critical role within Nebius data center operations. A fully proficient infrastructure engineer who independently manages and troubleshoots critical power and critical cooling systems across the site and takes ownership of assigned engineering tasks from start to finish. Participates in incident management activities, supports site commissioning and build reviews, and contributes to ensuring all engineering work meets Nebius SLAs and standards. Enforces safe working practices, collaborates with facilities, network, and technician teams, and mentors Associate DC Facilities Engineers toward independent operation. Core responsibilities Monitor and contribute to the tracking of critical environment maintenance and repair for assigned service lines to Nebius SLAs; identify and escalate developing faults before they impact service uptime. ndependently operate, monitor, and troubleshoot critical power distribution infrastructure including UPS systems, PDUs, RPPs, and in- rack busbar power systems. Manage and maintain critical cooling infrastructure including CRAHs, CRACs, CDUs, and RDHx; perform capacity checks and leakage inspections. Participate in incident management for infrastructure-impacting events; support root-cause analyses, document findings, and contribute to CAPA execution under the direction of the Senior DC Facilities Engineer. Operate and administer DCIM and BMS platforms; build and maintain dashboards, alerts, capacity reports, and infrastructure records. Support deployment and commissioning of GB-scale liquid-cooled rack infrastructure including direct liquid cooling (DLC) systems, manifolds, and CDU connections. Perform and own preventive maintenance tasks for all critical power and critical cooling systems; maintain accurate maintenance logs and compliance records. Participate in site reviews, design reviews, and commissioning activities; prepare and review technical reports to document findings.and communicate results. Enforce Nebius critical power and critical cooling safety procedures; act as safety lead for engineering work orders on live. infrastructure. Collaborate with facilities, network, and technician teams on infrastructure changes, capacity expansions, and major deployments. Support adherence to Nebius standards and policies through documentation review and active participation in commissioning and design activities. Contribute to vendor and contractor coordination by supporting scheduling, site access, and execution of work per Nebius expectations and safe-working practices. Actively mentors and trains Associate Associate DC Facilities Engineers; guides them through systems operation, safe working practices, and structured skill development toward independent operation. Expected capabilities / expectations Working proficiency across all critical power systems: UPS, PDU, RPP, in-rack busbar, and generator interfacing. Hands-on experience with critical cooling systems: CRAH/CRAC, CDU, RDHx, and water-side infrastructure including leak detection. Competent DCIM/BMS administration: alert management, capacity modeling, and dashboard reporting. Developing knowledge of GB rack liquid cooling technology, DLC manifolds, and heat rejection infrastructure. U.S. Data Center Career Framework - Technical Career Framework Ability to participate in and support incident management activities including RCA and CAPA documentation. Strong documentation discipline: change records, maintenance logs, capacity data, and incident write-ups. Clear and confident communication with facilities, network, and vendor teams during changes and incidents. Core Physical Requirements Ability to stand and remain on your feet for extended periods, typically four or more consecutive hours during active shift operations. Ability to safely lift, carry, and position equipment weighing up to 50 pounds unassisted, and heavier loads with appropriate team-lift protocols or mechanical aids. Comfortable working at heights including ascending and descending ladders, raised platform equipment, and elevated data center infrastructure. Ability to work in confined spaces such as under raised floors, within enclosed rack enclosures, and in cable management pathways. Comfortable working in environments with variable temperatures, including cold aisle containment zones and active cooling infrastructure. Manual dexterity sufficient to handle small form-factor components, precision cabling, and fine connector installations. Visual acuity sufficient to read equipment labels, small-form-factor interface indicators, and detailed wiring diagrams in variable lighting conditions. Ability to push or pull equipment carts, server sleds, and wheeled infrastructure weighing up to 500 pounds on level surfaces. On-Call Requirement This role includes on-call participation to respond to after-hours critical power and critical cooling events, infrastructure alarms, and urgent maintenance requiring prompt engineering response. 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: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE ROLE As a Research Engineer, GPU performance, you will sit at the heart of that spectrum: your low-level work directly determines how fast our frontier models can be trained and served. Working hand-in-hand with Research Scientists, you'll make every GPU count. Mistral AI is hiring an expert in pushing large language model's GPU utilization and performance to their limits.. In this role, you will own the performance of our models end-to-end: writing the low-level code that extracts the maximum capacity from high-end hardware, and rethinking model architectures so they run efficiently at scale. WHAT YOU WILL DO - Develop low-level code that takes full advantage of high-end GPUs and maxes out their capacity — from custom kernels to memory-layout and communication optimisations. - Rethink parts of the generative model architecture to make them more suitable for efficient inference, in collaboration with Research Scientists. - Integrate low-level efficient code into a high-level MLOps framework, so that optimisations benefit every training run and deployment rather than a single experiment. - Profile, benchmark and squeeze performance out of large-scale training and inference on thousands of GPUs. - Model LLM execution on various GPUs with high fidelity to assess hardware usage and build serving performance estimates. WHAT WE'RE LOOKING FOR - High technical competence for writing custom low-level kernels and pushing GPUs to their limits. - High expertise in the distributed computation infrastructure of current-generation GPU clusters. - Overall understanding of the field of generative AI; knowledge of, or interest in, fine-tuning and using language models for applications. - Strong software-design instincts: testing, code review, CI/CD. - Self-starter, low-ego, collaborative. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Stockholm ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you’ll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You’ll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You’ll own durability and cost at petabyte scale, from streaming and batch replication between origins to garbage collection over billions of objects. You’ll work across the stack, from local disk and page cache to distributed blob storage and garbage collection, and you’ll help shape what storage becomes next as we push storage closer to workloads. WHAT YOU’LL WORK ON: - Build P2P sharing of data across workers within a single datacenter to dramatically reduce ingress - Replicate data across multiple blob storage providers - Automate garbage collection across hundreds of petabytes of data - Deploy colocated storage clusters to datacenters to accelerate high-throughput customer workloads YOU MAY BE A FIT IF: - You have 5+ years of experience writing high-quality production code - You’ve built high-performance distributed storage or caching systems at a large scale (the more challenges you’ve worked through, the better) - You have strong cloud skills, including deep familiarity with object storage (S3 or similar), CDNs, and their consistency, throughput, and cost characteristics - You have strong knowledge of low-level operating system foundations (Linux kernel, file systems, page cache, containers, etc.) - You’re willing to step into the thick of it with our on-call rotation and respond to production incidents NICE-TO-HAVE: - Experience with replication, content addressing, and consistency models in multi-region or multi-cloud systems - Experience operating storage systems at scale (petabyte-scale datasets, high-throughput read/write paths, large-scale garbage collection or data migration) - Experience with data engineering at petabyte scale - Prior experience with Rust

Location: US, San Diego, CA 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 an Autonomy Engineer focused in VLA Pre-training, you will work on all aspects of training capable policies. You'll pre-train base models on a diverse, multi-embodiment corpus of trajectories, fine-tune policies to excel at specific tasks, shape data collection processes, and explore effective ways to generate and use synthetic data. This is primarily a deep learning role, so we're looking for experience solving real-world problems with modern neural networks. Robotics experience isn't strictly required, but if you're coming from outside the field, be prepared to get up to speed on a new domain quickly.   WHAT YOU'LL DO - Post-train policies via behavior cloning and RL; own the full loop from data to deployment. - Partner with the Data Collection team to drive collecting new data: specify what good data looks like, identify failure modes, ensure diversity and coverage. - Work closely with external partners to ensure steady supply of high-quality pretraining-scale data. - Run pre-/mid-/post-training on VLA stack; explore new modalities and architecture changes. - Build and maintain continuous pipelines: ingest synthetic data and teleop logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining. - Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference. WHAT WE'RE LOOKING FOR - 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it. - Deep hands‑on experience with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference. - Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. - Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. - Familiarity with modern software engineering practices. - You document experiments clearly and communicate trade‑offs crisply. NICE TO HAVE - Robotics or autonomous driving experience. - Experience applying RL to LLMs or robotics. - Experience with VLA (vision-language-action) models. - Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization). - Publications at top-tier deep learning conferences or equivalent open‑source contributions. - Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open source VLA frameworks. 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 employer match. - Equity included–we believe builders should share in what they build. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in California, the expected base salary range is $180,000–$300,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Canada, Vancouver, BC 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 We are on a mission to redefine robotics by creating humanoids that mimic human dexterity, precision, and flexibility. As a Robotics Prototype Engineer, you will play a key role in assembling, testing, and validating cutting-edge humanoid robots. This position requires strong technical expertise in robotic assembly, sensor calibration, and the ability to collaborate closely with engineers to troubleshoot and optimize robotic humanoid systems. If you're passionate about hands-on work with high-tech robotic systems and contributing to the next generation of humanoid robots, we'd love to hear from you. WHAT YOU’LL DO - Assembly and Integration: Assemble and integrate robotic end-effectors, ensuring all components (actuators, sensors, and electro-mechanical parts) function correctly. - Testing and Troubleshooting: Perform rigorous testing to evaluate the robotic components. Troubleshoot and resolve hardware and software integration issues. - Calibration: Calibrate sensors and commission actuators to achieve optimal performance with respect to the system requirements and expected outcomes. - Prototyping and Development: Assist the R&D team in prototyping new robotic designs by providing feedback, assembling prototypes, and testing new components. - Technical Support: Provide hands-on support for mechanical and electrical engineers in integrating actuators and sensors into the humanoid robot. Provide support worldwide. - Documentation: Document test results, system issues, failure analyses, and corrective actions. Create technical manuals, SOP and maintenance guides for robotic systems. - Maintenance and Upgrades: Perform routine maintenance and upgrades on robotic subassemblies on a system level, ensuring continuous performance and durability. - Collaboration: Work closely with the mechanical, electrical, and firmware teams to address issues related to electro-mechanical performance and sensor feedback. - Equipment and Inventory Management: Maintain specialized tools, equipment, and components. Ensure that inventory levels of critical parts such as actuators and sensors are regularly checked and replenished. Maintain a clean and organized workspace. WE’RE LOOKING FOR - Education: Bachelor’s degree in Robotics, Mechatronics, or a related engineering field. - 3+ years of experience in assembling, testing, and troubleshooting robotic systems, with a focus on precision mechanics, custom electronics, and sensor integration. - Strong proficiency in assembling robotic components and integrating complex mechanical and electrical systems. - Hands-on experience with fine-pitch soldering and thin cable assembly techniques. - Familiarity with calibrating actuators, sensors, and robotic control system applications. - Collaboration: Excellent communication and teamwork skills, with the ability to work closely with cross-functional teams. - Problem-Solving: Strong analytical and troubleshooting skills with the ability to diagnose issues and implement corrective actions efficiently. - Attention to Detail: High attention to detail in handling delicate components and ensuring precise assembly of complex systems. BONUS QUALIFICATIONS - Experience with Robotics: Background in humanoid robot development, particularly in hand/arm systems or robotic manipulation. - Prototyping Skills: Experience with rapid prototyping tools such as 3D printing from FDM and SLA Resin, CNC machining, or laser cutting for robotic component fabrication. - Sensor Knowledge: Familiarity with tactile sensors, force sensors, various actuator encoders, and other sensory technologies used in robotics. - Actuators and Motors: Experience with motor control drive systems, drive tuning, motor performance analysis, encoder protocols, drive safety protocols and system wiring. - Human-Robot Interaction (HRI): Knowledge or experience in designing for human-robot interaction, especially in contexts where robots handle delicate or interactive tasks. - Advanced Tools: Experience working with specialized robotic testing equipment and tools, such as precision measuring instruments, environmental testing equipment. WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - 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. - Freedom to influence the product and own key initiatives. For this role in Vancouver, the expected base salary range is $80,000–$95,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Canada 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. Customer Experience: The Customer Experience Team at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community. The role We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps . As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines. You’re welcome to work remotely from Canada. Your responsibilities will include: Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices. Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers. Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI. Act as a single point of expertise of customer scenarios for product, technical support, marketing teams. Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.) We expect you to have: Bachelor's degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience 5+ years of customer-facing technical pre-sales experience, with pre-sales as a primary responsibility, and demonstrate ownership of technical discovery, solution architecture, customer presentations, and proof-of-concept delivery for cloud infrastructure or AI platforms, translating customer requirements into solutions and guiding technical buying decisions. 5+ years of experience utilizing Infrastructure as Code (IaC) to automate the deployment, configuration, and management of scalable cloud infrastructure and network architectures. 5+ years of Kubernetes experience designing, provisioning, and operating clusters, including node management, networking (CNI), storage (CSI), scheduling, scaling, and troubleshooting beyond managed-service abstractions. 5 years of experience developing Python-based solutions for cloud infrastructure automation, systems integration, and technical problem-solving. It will be an added bonus if you have: 3+ years of experience with GPU computing for machine learning and artificial intelligence workloads as training and inference. Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow) Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch) Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) 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. On Target Earnings Range $235k - $300k CAD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - 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. Customer experience: Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community. The role We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps . As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines. You’re welcome to work remotely from the United States. Your responsibilities will include: Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices. Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers. Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI. Act as a single point of expertise of customer scenarios for product, technical support, marketing teams. Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.) We expect you to have: Bachelor's degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience 5+ years of customer-facing technical pre-sales experience, with pre-sales as a primary responsibility, and demonstrate ownership of technical discovery, solution architecture, customer presentations, and proof-of-concept delivery for cloud infrastructure or AI platforms, translating customer requirements into solutions and guiding technical buying decisions. 5+ years of experience utilizing Infrastructure as Code (IaC) to automate the deployment, configuration, and management of scalable cloud infrastructure and network architectures. 5+ years of Kubernetes experience designing, provisioning, and operating clusters, including node management, networking (CNI), storage (CSI), scheduling, scaling, and troubleshooting beyond managed-service abstractions. 5 years of experience developing Python-based solutions for cloud infrastructure automation, systems integration, and technical problem-solving. It will be an added bonus if you have: 3+ years of experience with GPU computing for machine learning and artificial intelligence workloads as training and inference. Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow) Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch) Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) Key Employee Benefits: #LI-SM2 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. On Target Earnings Range $250,000 — $320,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: 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 Solution Marketing Lead — Financial Services Location: Remote (US). Preferred locations NYC, San Francisco Bay Area Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, APJ and Israel. The role The Solution Marketing Lead for Financial Services and Capital Markets will report to the VP of Marketing. You will lead our go-to-market strategy, messaging, and solution storytelling across the rapidly evolving world of AI, with a strong focus on helping financial institutions accelerate AI innovation on the Nebius AI cloud. This is a senior individual contributor role critical to shaping how Nebius is positioned at the intersection of AI cloud and modern financial-services workloads. You will develop solution narratives across quantitative research, financial model training and fine-tuning, risk and portfolio modeling, research copilots, fraud and financial-crime detection, trade surveillance, document intelligence, and agentic AI workflows. You will drive awareness, adoption, and category leadership by translating Nebius’s technical capabilities into clear, differentiated solution stories and customer proof points. Working closely with product management, sales, enablement, alliances including NVIDIA and the broader financial-services technology ecosystem and the marketing organization. This role is ideal for someone who deeply understands financial services, particularly capital markets. In addition, can operate strategically and execute quickly while building from 0→1. Responsibilities Define positioning and value propositions for financial services workloads on the Nebius AI Cloud and Token Factory. Build solution narratives across quantitative research, model training and fine-tuning, risk and portfolio modeling, market-data analysis, research copilots, fraud detection, trade surveillance, and agentic AI. Create messaging frameworks, pitch decks, competitive battlecards, objection-handling guidance, and sales tools that accelerate seller velocity. Develop high-impact assets, including solution briefs, field playbooks, executive presentations, webinars, demo narratives, and thought leadership. Enable sales teams and partners to confidently position Nebius with financial-services executives, AI leaders, quantitative teams, and technical buyers. Partner with a downstream marketing team to develop industry campaigns, account-focused programs, and event activations. Lead joint solution marketing initiatives with NVIDIA, ISVs, and the broader financial-services technology ecosystem. Support customer storytelling, PR, Analyst Relations, and industry-influencer programs to build market credibility and customer proof. Partner closely with product, sales, alliances, customer success, and marketing to bring market requirements into the roadmap and drive measurable business impact. Qualifications 12–15 years in solution, product, or industry marketing, or technical GTM. Deep financial services expertise, particularly capital markets; experience in investment banking, asset management, hedge funds, quantitative finance, or capital markets technology preferred. Strong understanding of AI infrastructure and workflows, including training, fine-tuning, inference, agents, data pipelines, distributed computing, and GPU workloads. Exceptional ability to translate complex technology into compelling industry narratives, customer value, and business outcomes. Proven success building industry GTM strategies, enabling enterprise sales, and influencing senior cross-functional stakeholders. Comfortable building new programs, messaging, and market positions in a fast-moving, high-growth environment. Familiarity with major cloud/AI platforms and the NVIDIA, and capital-markets technology ecosystem. Bachelor’s degree required; MBA, master’s degree, or another advanced degree preferred. Key employee benefits in the US: #LI-JT1 Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance: Company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries, plus bonus, and equity based on your experience.  Title and compensation will be determined based on the candidate’s experience and qualifications. 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 $177,000 — $222,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Canada, Vancouver, BC 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 a Senior Test and Validation Engineer at Humanoid, you will be responsible for bringing new hardware subsystems into a functional, controllable, measurable, and integration-ready state, including calibration, tuning, characterization, and modeling across actuators, hand/gripper mechanisms, and integrated robotic assemblies. You will work closely with mechanical design, firmware, controls, manufacturing, and system integration teams to diagnose unstable behavior, define the right parameters and models, and accelerate hardware maturity for upstream controller and software development. WHAT YOU’LL DO - Design, plan, and execute test procedures for actuators, mechanisms, grippers, and robotic hands. - Build and maintain test fixtures and test rigs for dynamic and endurance testing. - Tune and calibrate sensors like encoder and control loops in the driver, including current, velocity, and position control, and verify stability conditions. - Develop subsystem characterization methods and identify key parameters such as torque constant profile, friction, inertia, backlash, stiffness, thermal behavior, and efficiency. - Design, plan, and execute test procedures for actuators, mechanisms, grippers, and robotic hands. - Build and maintain test fixtures and test rigs for dynamic and endurance testing. - Develop automated test systems (hardware + software) to validate motor performance, force output, back drivability, and safety limits. - Conduct lifecycle, stress, thermal, and environmental tests on components and subsystems. - Analyze test results, create test reports, and drive design feedback loops with engineering teams. - Collaborate with design engineers to define testable requirements, tolerances, and performance metrics. - Support incoming QC, assembly-level verification, and field failure diagnostics. - Maintain test documentation, protocols, and results databases. - Work closely with control and firmware teams to evaluate actuator behavior in closed-loop scenarios. WE’RE LOOKING FOR - Master’s or PhD degree in Mechanical, Mechatronics, Electrical Engineering, Robotics, or a related field. - 5+ years of experience with robotic hardware, controls, actuator characterization, system commissioning. - Hands-on experience with motors, actuators, encoders, force/torque sensors, and hardware instrumentation. - Strong troubleshooting ability and comfort working through ambiguous or unstable hardware problems. - Experience with calibration, parameter identification, modeling, and mathematical optimization. - Proficient with tools such as Python (preferred), MATLAB, or C++ for data capture, analysis, and model fitting using OOP(Object Oriented Programming). - Comfortable with mechanical tools, instrumentation, and prototyping in lab environments. - Strong understanding of safety testing, failure modes (FMEA), and reliability analysis. - Excellent documentation, communication, and cross-functional collaboration skills. - Familiarity with data acquisition systems (DAQ) and tools such as LabVIEW, Python, or MATLAB. BONUS QUALIFICATIONS - Experience with strain-wave gear, planetary gear, or custom robotic actuators. - Experience with robotic hands, grippers, underactuated mechanisms, or tendon-driven systems. - Experience with and complete understanding of commercial BLDC drivers. - Familiarity with low-level control development, parameter identification, or dynamic modeling for electromechanical systems. - Knowledge of EtherCAT, EtherNET, or related motion control DS402. - Experience supporting integrated arm or leg bring-up on larger robotic platforms. WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - 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. - Freedom to influence the product and own key initiatives.

Location: Canada, Vancouver, BC 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 a Warehouse Operative Specialist, you will take hands-on ownership of day-to-day warehouse and inventory operations at our Vancouver site. You will be responsible for receiving, storage, inventory accuracy, cycle counting, material movement, and kitting, ensuring components are available and ready to support fast-moving prototype robot builds. As a key warehouse specialist in Vancouver, you will have the opportunity to establish and continuously improve site warehouse processes, working closely with Supply Chain, Procurement, Engineering, Production, and our global Warehouse, Inventory, Logistics & Planning (WILP) team. This role is ideal for someone who is hands-on, organized, self-directed, and comfortable taking ownership in a fast-paced hardware environment.   WHAT MAKES THIS ROLE EXCITING - Take ownership of warehouse and inventory operations for Humanoid's growing Vancouver robotics site - Directly support the development and build of next-generation humanoid robots - Help establish and improve warehouse, inventory, and material-flow processes - Work closely with Engineering, Production, Procurement, Supply Chain, and global operations teams - Operate in an environment where inventory accuracy and material availability directly impact robot builds   WHAT YOU'LL DO - Own day-to-day receiving, storage, inventory control, cycle counting, kitting, and material movement for the Vancouver site - Establish and maintain an organized stores area, location structure, labelling system, and material flow - Receive incoming deliveries, verify materials against purchase orders, inspect for damage, shortages, or non-conformance, and accurately record receipts - Maintain accurate, real-time inventory records in JIRA and inventory tracking systems - Handle ESD-sensitive, high-value, serialized, and lot-controlled components, maintaining appropriate traceability - Run regular cycle counts, investigate discrepancies, identify root causes, and maintain inventory accuracy - Monitor inventory levels and help maintain appropriate minimum, maximum, and safety-stock levels for critical and high-usage materials - Pick, stage, and deliver complete kits against BOMs and build schedules for prototype robot builds - Work closely with Engineering, Production, Procurement, and Planning to identify material shortages and build risks early - Manage material issues, unused material returns, transfers, scrap, quarantined stock, and supplier returns with accurate traceability - Prepare outbound shipments and inter-site transfers between Vancouver, London, and Boston, supporting accurate shipping and customs documentation - Track critical inbound and outbound shipments and escalate delays before they impact builds - Maintain a clean, safe, and organized warehouse environment, applying 5S principles and applicable health and safety requirements - Support asset tracking for tools, fixtures, and equipment held within the stores area - Use Excel or Google Sheets to maintain inventory reports, count plans, and variance analysis - Identify and implement practical improvements to receiving, storage, inventory, kitting, and material-flow processes - Act as a trusted point of contact for warehouse and inventory processes and support colleagues in following established procedures   WHAT WE'RE LOOKING FOR - 5+ years of hands-on warehouse, stores, inventory control, or material operations experience within a technical industry, such as robotics, electronics, aerospace, automotive, advanced manufacturing, industrial automation, or complex hardware development - Demonstrated experience supporting engineering, manufacturing, production, or prototype/R&D environments, with a strong understanding of the material-control requirements associated with complex technical products - Experience supporting prototype builds, engineering builds, NPI, or low-volume/high-complexity production - Strong experience with inventory control, cycle counting, stock reconciliation, and variance investigation - Experience with kitting and issuing materials to engineering or production against BOMs and build schedules - Ability to confidently work with BOMs, part numbers, technical documentation, and engineering drawings - Experience handling technical components and assemblies, including appropriate storage, identification, and traceability practices - Practical experience with Excel or Google Sheets, including formulas, lookups, pivot tables, and inventory reporting - Strong understanding of receiving, storage, stock movement, traceability, and inventory accuracy - Ability to work independently, prioritize competing requirements, and take ownership of day-to-day warehouse operations - Strong organizational skills with a high level of accuracy and attention to detail - Clear, proactive communication skills and the ability to collaborate effectively with Engineering, Production, Procurement, and Supply Chain teams - Ability to adapt and maintain accuracy in a fast-paced technical environment with changing build priorities   BONUS QUALIFICATIONS - Experience working with 3PL providers, carriers, and import/export documentation - Familiarity with WHMIS and Transportation of Dangerous Goods (TDG) requirements - Occupational First Aid (OFA Level 1) certification - Experience applying Lean or 5S practices - Supply chain, logistics, warehouse, or inventory certification such as APICS CPIM or equivalent WORKING CONDITIONS - On-site role in Vancouver involving regular warehouse activity and material handling. - Ability to handle items up to 23 kg / 50 lb, with appropriate equipment and reasonable accommodation provided in accordance with applicable law. - Some schedule flexibility may be required to support critical robot builds and time-sensitive deliveries.   WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - 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.   For this role in Vancouver, the expected base salary range is $60,000–$65,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Canada, Vancouver, BC 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 a Senior General Mechanical Design Engineer at Humanoid, you will own the design and development of key mechanical subsystems, including robotic joints, structural assemblies, and dynamic mechanisms that enable humanoid mobility and manipulation. This role requires strong fundamentals in mechanical design, system integration, and GD&T (ASME Y14.5), as well as a passion for building complex hardware systems. You will collaborate closely with robotics, controls, electrical, and software teams to rapidly prototype, test, and deploy robotic hardware. Your work will directly influence the performance, reliability, and scalability of our humanoid robots.   WHAT YOU’LL DO - Design and develop mechanical systems for humanoid robots, including structural components, joints, and robotic linkages - Create 3D CAD models and production drawings using SolidWorks / NX, applying GD&T (ASME Y14.5) to ensure precision and manufacturability - Design robotic mechanisms and linkages optimized for strength, weight, efficiency, and durability - Select materials and manufacturing methods that balance performance, weight, cost, and scalability - Lead rapid prototyping and iteration, using tools such as 3D printing, CNC machining, and rapid fabrication - Design components for high volume production, designing for processes like casting, injection moulding, and sheet metal - Work closely with electrical, controls, and software engineers to integrate motors, sensors, and embedded systems into robotic platforms - Conduct mechanical testing and validation to verify performance, durability, and system reliability - Perform design reviews, risk assessments, and safety analysis to ensure robust robotic systems - Generate and maintain technical documentation, including engineering drawings, specifications, and bill of materials (BOM) - Own mechanical subsystems from concept through prototyping, testing, and deployment. WE’RE LOOKING FOR - 5+ years of professional experience in mechanical design for robotics, electromechanical systems, or complex hardware products - Bachelor’s or Master’s degree in Mechanical Engineering, Robotics, Mechatronics, or a related field - Strong fundamentals in mechanics, statics, dynamics, thermals, and material science - Proficiency with SolidWorks, NX or similar CAD tools - Experience applying GD&T based on ASME Y14.5 - Experience designing precision mechanical assemblies or mechanisms - Familiarity with manufacturing processes such as CNC machining, additive manufacturing, and injection molding - Hands-on experience building, assembling, and testing mechanical prototypes - Strong analytical and problem-solving skills - Ability to work effectively in a fast-paced, multidisciplinary engineering environment.   BONUS QUALIFICATIONS - Experience developing robotic or mechatronic systems - Experience working on humanoid, legged, or mobile robots - Experience performing FEA or structural simulations - Experience with design of cooling systems and optimizing thermal performance - Experience designing lightweight structural systems - Familiarity with robotic safety standards such as ISO 10218 - Familiarity with robotic actuators, gear trains, and transmission systems - Experience in robotics, aerospace, automotive, or advanced hardware startups.   WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - 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. - Freedom to influence the product and own key initiatives.   For this role in Vancouver, the expected base salary range is $110,000 – $150,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Canada, Vancouver, BC 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 a Senior Actuator Mechanical Design Engineer at Humanoid, you will own the design and development of robotic actuators to be integrated in robotic joints and dynamic mechanisms that enable humanoid mobility and manipulation. This role requires strong fundamentals in mechanical design, system integration, and GD&T (ASME Y14.5), as well as a passion for building complex hardware systems. You will collaborate closely with robotics, controls, electrical, and software teams to rapidly prototype, test, and deploy robotic actuators. Your work will directly influence the performance, reliability, and scalability of our humanoid robots. WHAT YOU’LL DO - Size and design torque dense actuators for humanoid robots, being responsible for specification and integration of key components including motors, bearings, encoders, and drives - Select appropriate reduction methods and develop innovative strain wave and planetary gearbox designs - Create 3D CAD models and production drawings using SolidWorks / NX, applying GD&T (ASME Y14.5) to ensure precision and manufacturability - Select materials and manufacturing methods that balance performance, weight, cost, and scalability - Lead rapid prototyping and iteration, using tools such as 3D printing, CNC machining, and rapid fabrication - Design components for high volume production, designing for processes like casting, injection moulding, and extrusion - Work closely with mechanical, electrical, controls, and software engineers to integrate actuators and sensors into robotic platforms - Conduct mechanical testing and validation to verify performance, durability, and system reliability - Perform design reviews, risk assessments, and safety analysis to ensure robust robotic systems - Generate and maintain technical documentation, including engineering drawings, specifications, and bill of materials (BOM) - Own mechanical subsystems from concept through prototyping, testing, and deployment. WE’RE LOOKING FOR - 7+ years of professional experience in mechanical design for robotics, electromechanical systems, or complex hardware products - 3+ years of professional experience designing planetary, cycloidal, or strain wave actuators - Bachelor’s or Master’s degree in Mechanical Engineering, Robotics, Mechatronics, or a related field - Strong fundamentals in mechanics, statics, dynamics, and material science - Proficiency with SolidWorks, NX, or similar CAD tools - Experience applying GD&T based on ASME Y14.5 - Experience designing precision mechanical assemblies or mechanisms - Familiarity with manufacturing processes such as CNC machining, additive manufacturing, and injection molding - Hands-on experience building, assembling, and testing mechanical prototypes - Strong analytical and problem-solving skills - Ability to work effectively in a fast-paced, multidisciplinary engineering environment.   BONUS QUALIFICATIONS - Experience using KISSsoft or RoMax to develop gearboxes - Experience designing ball screw, lead screw, or roller screw actuators - Experience working on humanoid, legged, or mobile robots - Experience performing FEA or structural simulations - Experience in the testing or thermal modelling of electric motors or gearboxes - Experience in robotics, aerospace, automotive, or advanced hardware startups   WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - 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. - Freedom to influence the product and own key initiatives. For this role in Vancouver, the expected base salary range is $120,000 – $170,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Canada, Vancouver, BC 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 We are looking for an Firmware and Embedded Software Engineer to design and develop the real-time software systems that control our humanoid robots. You will own the development of embedded software for critical robotic subsystems, including motion control, sensor interfaces, communication networks, and hardware abstraction layers that enable reliable and safe robotic operation. This role requires strong fundamentals in embedded programming, distributed hard real-time systems, and hardware-software integration, along with experience building robust software for complex electromechanical systems. You will collaborate closely with mechanical, electrical, and robotics engineers to rapidly prototype, test, and deploy embedded software that powers our robotic platforms. Your work will directly influence the performance, reliability, and responsiveness of Humanoid’s robots.   WHAT MAKES THIS ROLE EXCITING - Design and develop embedded systems that control humanoid robots in real time safely - Solve challenging problems in low-latency motion control, distributed embedded networks, and high-reliability robotic systems with various communication protocols - Work in a fast-moving hardware environment where software directly interacts with physical machines - Collaborate with a multidisciplinary robotics team spanning mechanical, electrical, controls, and AI - See your code deployed in real robots operating in real-world environments. WHAT YOU’LL DO - Develop and implement embedded software for robotic systems, emphasizing hard real-time performance and reliability as well as safety - Integrate and optimize hardware and software components, including sensors, actuators, and communication modules - Analyze and make recommendations on implementation paths with trade-offs - Write and debug firmware for microcontrollers, FPGAs, ASICs, and SoCs - Implement and manage communication protocols such as EtherCAT, CAN, UART, SPI, and I2C - Collaborate closely with mechanical and electrical engineers to ensure seamless system integration - Perform hardware testing, validation, and troubleshooting of embedded systems - Analyze system constraints and resource limitations to optimize performance and efficiency - Develop low-level drivers and interfaces for sensors, motors, and control electronics - Maintain clear documentation of system architecture, code, and test results for traceability and maintainability - Own embedded software components from concept through testing and deployment. WE’RE LOOKING FOR - 5+ years of professional experience developing embedded software or firmware for robotics, embedded systems, or real-time hardware platforms - Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Robotics, or a related field - Strong proficiency in C and C++, with experience using Python for testing or tooling - Solid understanding of embedded systems architecture and hardware-software interfaces - Experience with real-time operating systems (RTOS) - Experience working with communication protocols such as EtherNet, EtherCAT, CAN, SPI, UART, or I2C - Experience integrating sensors, actuators, and motor control systems - Familiarity with debugging tools such as oscilloscopes, logic analyzers, and in-circuit debuggers - Strong analytical and problem-solving skills - Ability to work effectively in a fast-paced multidisciplinary engineering environment. BONUS QUALIFICATIONS - Experience working with robotics frameworks such as ROS or ROS2 - Hands-on experience with FPGA or SoC development - Experience developing distributed robotic control systems - Familiarity with agile development methodologies - Experience with EtherCAT-based motor drivers and real-time control networks - Experience developing safety-critical or high-reliability embedded systems.   WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - 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. - Freedom to influence the product and own key initiatives. For this role in Vancouver, the expected base salary range is $140,000 – $180,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Canada, Vancouver, BC 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 We are seeking a Mechanical Engineer to design and develop advanced humanoid robots. The ideal candidate will have expertise in mechanical design, system integration, and GD&T based on ASME Y14.5, along with experience in optimizing robotic systems for performance and manufacturability. WHAT YOU’LL DO - Develop components for humanoid robots (e.g., frames, actuators, joints) using CAD software, applying GD&T standards (ASME Y14.5) to ensure precision and manufacturability. - Design robotic linkages and mechanisms with a focus on efficient motion and performance optimization. - Choose materials and manufacturing methods that balance strength, weight, and cost, ensuring feasibility and reliability. - Lead the prototyping phase, utilizing tools like 3D printing and CNC machining to validate designs. - Work with electrical engineers and software developers to integrate mechanical components into robotic systems. - Ensure designs meet safety standards, conducting risk assessments and applying necessary safety features. - Perform mechanical testing to verify design performance and durability. - Produce detailed technical documentation, including drawings, specifications, and BOMs, adhering to GD&T principles. - Work closely with cross-functional teams to achieve project goals. WE’RE LOOKING FOR - Strong background in mechanical design, statics, dynamics, and material science. - Skilled in CAD tools (SolidWorks), with the ability to apply GD&T (ASME Y14.5) to designs. - Familiarity with manufacturing methods like CNC machining, 3D printing, and injection molding. - Hands-on experience building and testing prototypes. - Understanding of safety standards (e.g., ISO 10218) and risk assessment. - Strong analytical skills to tackle complex engineering challenges. - Clear verbal and written communication for effective teamwork.   WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - 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. - Freedom to influence the product and own key initiatives.   For this role in Vancouver, the expected base salary range is $110,000 – $150,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Amsterdam Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. WHAT YOU’LL DO - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies WHAT YOU'LL BRING - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation - Annual salary range: $225,000-$350,000 OTE USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.