Вакансии

— Запускать и масштабировать рекламные кампании через Popunder и другие форматы поп-трафика. — Работать с рекламными сетями, тестировать новые источники и связки.

▪️Что нужно будет делать: ▫️Постоянно придумывать новые идеи для Web3-проектов.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add. We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas: Scaling and infrastructure. Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online. Velocity. The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform. Inference engine. The software between the accelerator kernels and the routing layer that serves every request. Performance. Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance. This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like. Key responsibilities Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery. Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path. Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision. Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps. Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org. Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams. Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion. Own inference readiness for model launches alongside our launch TPMs. Minimum qualifications 7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it. Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking. A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly. A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep. The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers. Strong written communication, including plans, reviews, and executive updates that many teams depend on. Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit. Care about Anthropic's mission and about serving frontier AI safely and reliably. Preferred qualifications Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing. Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform. Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services. Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity. Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work. Familiarity with Kubernetes-based orchestration and job scheduling. Experience working with research teams and turning their needs into infrastructure requirements. Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Director, Infrastructure Lease Accounting to lead technical accounting for our most complex infrastructure and energy arrangements — the data center leases and related structures underpinning our recently significant investment in American computing infrastructure. As we continue our rapid growth, you will ensure the financial statement accuracy of the most technically complex contracts we enter into. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic accounts for the highest-stakes arrangements underpinning our compute and energy portfolio. You will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), and counterparty or joint-venture structures (ASC 810 VIE analysis). You'll work closely with Real Estate, Legal, Finance, and external auditors to ensure accounting implications are understood before commitments are made. Responsibilities Serve as the technical accounting subject matter expert for Anthropic's most complex infrastructure arrangements, leading classification, measurement, and subsequent accounting judgments Apply ASC 842 to complex lease arrangements, including lease identification, modifications, reassessments, and embedded leases within compute, colocation, and data center contracts Apply ASC 810 to counterparty and joint-venture structures, including variable interest entity (VIE) analysis for special purpose entities Apply ASC 815 to energy and infrastructure arrangements, including consideration of embedded derivatives Lead technical accounting analysis and memo preparation for new arrangements, ensuring positions are well-reasoned, supported, and auditor-ready Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on Serve as a key point of contact with external auditors on technical accounting matters within your portfolio Mentor accounting professionals across the Infrastructure Accounting team on technical accounting matters Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of technical accounting work Minimum qualifications Have 12+ years of progressive experience in accounting, with meaningful time in a technical accounting role Hold a Bachelor's degree in Accounting or Finance; CPA required Possess strong technical accounting knowledge of ASC 842 (leases), ASC 810 (consolidation, including VIE analysis), and ASC 815 (derivatives and hedging), applied to real arrangements Have a track record of authoring and defending technical accounting memos on complex, judgment-intensive arrangements Demonstrate strong analytical abilities and comfort working with large, complex contracts and datasets Have a track record of improving scalable technical accounting processes in fast-moving environments Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders Communicate clearly and influence effectively across cross-functional partners — Real Estate, Legal, Finance, and Procurement Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred qualifications Background in a Big 4 technical accounting practice (SEC reporting / technical consultation) combined with industry experience Experience at hyperscalers, utilities, or energy companies with meaningful PPA, REC, or commodity-arrangement exposure Experience with renewable energy contracts, carbon markets, or related clean-energy accounting frameworks Exposure to data center and compute-related infrastructure arrangements (including colocation, dark fiber IRUs, and equipment leases) Experience with lease accounting software and derivative / hedge accounting systems at scale SQL proficiency for querying and analyzing large contract and accounting datasets Knowledge of AI/ML infrastructure and associated cost structures Experience applying AI tooling (including Claude) to technical accounting research, memo drafting, or close automation Proven ability to navigate ambiguity and drive results in rapidly changing environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Austria; Switzerland; Spain; Portugal; Germany; Serbia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Role Type: Full-time Engagement: Independent Contractor About the company Our client is a high-growth sales acceleration partner specializing in outsourced sales development and lead generation for complex B2B sectors, including FinTech, HealthTech, and Manufacturing. With over 13 years of experience, the team serves ambitious mid-market and enterprise brands across the UK, Europe, and North America. They empower global businesses to scale revenue through a consultative, data-driven methodology that blends expert human outreach with a cutting-edge sales technology stack. The team operates with a mission to transform stagnant pipelines into sustainable growth, utilizing native-language experts to bridge international markets. Driven by a culture of continuous development and performance-based results, they prioritize high-level C-suite engagement and measurable ROI. Candidates will join an environment that combines start-up energy with enterprise-level maturity, focusing on innovation, professional sales skills, and a "selling at a higher level" mindset to solve complex acquisition challenges for world-class brands. Job Summary Are you a fluent German speaker with a passion for driving high-level business growth? This is an opportunity to join a well-established leader in the outsourced sales sector with over 15 years of proven success. You will act as a strategic partner for clients, identifying new business opportunities and opening doors within complex industries. If you are a driven professional looking to master the art of sales development within a highly structured and supportive environment, this role offers the perfect platform for your career to thrive. Key Responsibilities Conduct high-volume outbound prospecting, averaging 50 calls per day to engage key decision-makers. Research and identify new business opportunities within the German-speaking (DACH) region. Secure a minimum of 10 qualified outbound opportunities per month to fuel the sales pipeline. Maintain meticulous records and manage your lead pipeline using Salesforce. Collaborate with internal teams to refine messaging and optimize sales methodologies. Requirements Native or professional fluency in German (both written and verbal). High level of English proficiency. A minimum of 2 years of experience in B2B sales or a dedicated SDR role. Proven ability to thrive in a target-driven environment. Strong communication skills and a professional phone manner. Ability to work UK/EU business hours (9:00 AM – 5:00 PM). Nice-to-Haves Prior experience selling within the Manufacturing or Engineering sectors. Familiarity with the Salesforce ecosystem. Experience working within an agency or outsourced sales environment. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Разработка и развитие клиентской части продукта на React — от архитектуры и управления состоянием до production-ready UI с реальными пользователями. Проектирование масштабируемой frontend-архитектуры, выбор технологических решений и формирование стандартов разработки.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As a Senior Electrical Engineer on the Hardware team in Boston, you’ll design and develop the electrical systems that bring advanced humanoid robots to life. This is a hands-on role where you’ll work across the full spectrum of robotics electrical engineering—from electrical system designs, electromechanical integrations, PCB layouts, firmware and device programming, to hands-on debugging in the lab. Your work will span from small test systems to fully integrated prototype robots, and provide you with a unique opportunity to have a big impact. WHAT YOU’LL DO - Design Electrical Systems for Robotics: Develop electrical systems that power and control Humanoid’s advanced robots, with a focus on sensors, compute architecture, and power systems. - Conduct Circuit Analysis and Debugging: Use strong circuit analysis fundamentals to review electrical designs, conduct failure analysis, and troubleshoot complex electrical systems. - PCB Design and Schematic Capture: Create detailed schematics and PCB layouts using Altium, ensuring the designs meet the performance, reliability, and manufacturability standards required for robotics. - Develop Embedded Firmware: Write firmware in C and HDL to program microcontrollers, DSPs, and FPGAs, testing and refining embedded designs to ensure optimal performance. - Leverage Linux for Robotics: Utilize your knowledge of command-line Linux to configure networks, run software, and interface with robots for testing and validation. - Hands-On Lab Work: Use a variety of lab equipment, including oscilloscopes, DMMs, power supplies, programmable loads, and spectrum analyzers, to validate designs and solve complex electrical engineering challenges. - Collaborate Across Teams: Work closely with mechanical engineers, software developers, and other team members to integrate electrical systems with robotics hardware, ensuring seamless operation and performance. WHAT WE'RE LOOKING FOR - Experience with high-speed data technologies such as PCIE, Ethernet, EtherCAT and/or other communication protocols in PCB-based devices and systems. - Experience developing power regulation and distribution systems, including particular expertise with short-circuit protection systems, switching power supplies, and creative power management technologies. - Proficiency with PCB design tools (e.g., Altium) for schematic capture and layout. - Familiarity with embedded programming, including C, HDL, and other relevant languages for microcontrollers, DSPs, and FPGAs. - Working knowledge of circuit simulation, analysis, and debugging techniques, including the use of oscilloscopes, power supplies, and spectrum analyzers. - Experience with Python, C++, LabView, or MATLAB for automation and testing. - Knowledge of SolidWorks or similar mechanical CAD tools. - Familiarity with Verilog or VHDL for hardware design and simulation. - Experience in building Linux kernels and modifying or writing device drivers. Please note: few people will check every single box. If you’ve got solid electrical engineering fundamentals and strengths in some of these areas, we’d love to hear from you! 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. - Generous time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with a 4% employer match. - Meaningful equity with 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 Massachusetts, the expected base salary range is $160K–$215K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Los Angeles, USA Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains.  We work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value.  As a Staff Software Engineer, you’ll drive important features and provide other engineers with a clear illustration of extraordinary engineering. The UnEco (or Unreal Ecosystem) team has an impact on a wide array of topics, including  audio, test automation, runtime performance, tooling, and CI/CD. As a Staff Software Engineer on the UnEco team, you’ll gain organizational alignment by building a strong engineering vision and offering creative solutions to technical problems. You will also serve as a mentor for your fellow engineers, helping guide their performance and finding growth opportunities delivering compelling player experiences. As a specialist in Performance, you will be leveraging your deep experience and expertise in profiling, benchmarking, optimization, and performance analysis to help game teams solve complex challenges hands-on and deliver central solutions. Responsibilities: Be hands-on in development, writing excellent code that sets a high standard for other engineers. Work with leadership on prioritization of work efforts and identifying opportunities for impact. Partner with game teams to diagnose issues and improve player-facing performance. Partner with infrastructure teams to analyze and drive recommendations around bandwidth optimization, server density, resource utilization, etc. Improve and optimize the developer experience, including improving cook and build times, editor load times, and understanding and fixing developer pain points. Lead the technical execution of multi-month to year-plus work efforts across the business unit, holding teams to established standards. Help teams navigate ambiguity and complexity by breaking down problems, identifying risks, and clearly communicating trade-offs. Work on a range of tech stacks including underlying infrastructure, build and test automation, release pipelines, and developer tooling for internal teams leveraging the Riot Unreal Ecosystem. Work with stakeholders across the organization to address their pain points and exceed their expectations for how optimization and performance improvements can be realized without sacrificing quality. Be a standard-bearer and role model of Riot values for your team and others. Be a force multiplier for your team Mentor senior engineers on your team and enable them to deliver complex projects. Required Qualifications: 5+ years of software engineering experience Expertise with C++ Experience working with modern video game engines Experience working with large game teams Experience working with large code bases Experience debugging, profiling and optimizing complex projects Strong knowledge of common game and software design patterns Experience collaborating with teammates across multiple disciplines Experience shipping games across multiple platforms Experience with profiling tools like Unreal Insights or Pix Desired Qualifications: Experience with Unreal Engine 5 Experience building online games Experience with rendering in Unreal Engine titles For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: San Francisco, California, United States At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the People team The People team helps Affirmers cultivate a high-performing, inclusive organization. We focus on three core areas: attracting talent aligned to our mission, enabling growth through people and team development, and retaining employees through thoughtful experiences and rewards. We develop Affirm’s people programs and systems to create a workplace where all employees can thrive and contribute meaningfully. By investing in our people, we create a long-term advantage for the business. About the Role Affirm is seeking an experienced, people-focused, and hands-on Manager to lead a distributed Workplace team and the day-to-day operations and evolution of our Workplace function within the broader Places & Experiences team. Based out of our San Francisco HQ office and reporting to the Senior Manager of Real Estate & Workplace, this role will focus on delivering exceptional workplace experiences that support connection, productivity, and flexibility in a remote-first environment. This leader will play a critical role in ensuring our spaces are thoughtfully operated, consistently engaging, and aligned with Affirm’s culture and ways of working. What You'll Do Own the North America workplace strategy and operating model, aligning office experience with business priorities, headcount planning, and ways of working. Translate company and team needs into workplace plans, including capacity, service levels, and programming across all locations. Make and drive decisions on workplace standards, policies, and investments, balancing employee experience, cost, and scalability. Establish and track key performance metrics (e.g., employee experience, utilization, vendor performance, budget adherence) and drive continuous improvement. Provide functional leadership across locations, ensuring consistency while adapting to local needs. Develop and implement workplace programs, standards, and initiatives that bring consistency, functionality, and delight to our spaces. Ensure offices are operated to foster collaboration, connection, and productivity for a primarily remote workforce. Oversee workplace policies, procedures, and service delivery to ensure operational excellence and scalability. Manage vendor relationships across workplace services (e.g., facilities, hospitality, office services), ensuring strong performance and cost efficiency. Partner cross-functionally with teams such as People, IT, and Finance to deliver holistic workplace solutions. Support office activations, events, and programming that strengthen culture and employee engagement. Partner with the Senior Manager of Real Estate & Workplace and broader team on workplace and real estate projects, taking hands-on ownership of operational workstreams such as coordinating vendors and installations, scheduling construction activity, and supporting office refreshes and improvements. Lead, coach, and empower a distributed Workplace team across North America by providing strong in-person and remote leadership, setting clear priorities and expectations, developing team members, and creating meaningful ownership and accountability across the team. What We Look For 6–10 years of experience in workplace, facilities, hospitality, or office operations roles, ideally in a dynamic and hybrid/remote-first environment. Demonstrated success managing and developing distributed teams, with strong remote and in-person leadership skills. A proven track record of empowering team members through clear expectations, coaching, feedback, and delegated ownership. Experience owning multi-site or regional operations. A hands-on, team-first approach and willingness to step into adjacent operational needs when necessary, particularly where Workplace and Real Estate intersect. Strong expertise in workplace operations, employee experience, and service delivery. Exposure to scaling operations or building programs from scratch. Excellent operational and organizational skills, with the ability to manage multiple priorities and stakeholders. Experience managing vendors and workplace budgets, with a focus on quality and efficiency. Strong collaboration and communication skills, with the ability to influence across functions and levels. Comfort navigating ambiguity and evolving workplace strategies in a hybrid environment. While Affirm operates as a remote-first company, this role is expected to work regularly in person from our San Francisco office. Candidates must therefore be based in the Bay Area, willing to commute or willing to relocate prior to their start date. Pay Grade - K Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA California base pay range per year: $145,000 - $205,000 Please note that visa sponsorship is not available for this position. Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Toronto Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION Technical Program Managers work cross-functionally to lead a growing book of service engagements, ensuring automation engagements and initiatives are optimally resourced, solutioned and delivered within budget time, scope, quality, and cost constraints. WHAT YOU'LL DO AT UIPATH - Develop detailed and effective plans and monitor all aspects of program / project / workstream lifecycle, including scope, change and release management. - Attend and minute all program/project meetings and work closely with client automation COE and Services PMO to ensure all services are delivered and automations are aligned with client strategic objectives so that timecards and milestone completion forms are signed off promptly with invoicing initiated. - Own the full lifecycle of automation and custom solutions and programs from presales to order, initiation to handover. - Ensure client and internal stakeholders are managed effectively and updated on progress with risks, dependencies and issues managed with risk registry and mitigated. - Ensure all documentation and deliverables, including hands-on where necessary, are fit for purpose, follow UiPath recommended standards and of consistently high quality across engagements. - Conduct internal and client-facing program/project status meetings and present such reports as required including progress against plan, billings, resource utilization, service credits drawdown and incurred costs. - Provide weekly status summary of all programs and projects assigned and escalate to management as needed. - Drive client references and document case studies including identifying and sharing new uses for UiPath. - Also, as an employee of UiPath you are required to comply at all times with UiPath’s policies that were communicated to you from time to time and that are available on Inside UiPath. WHAT YOU'LL BRING TO THE TEAM - 8+ years of experience in client-facing technology project–previous program or delivery management role focused on software development and systems integration. - Experience in various agile, waterfall, SDLC, hybrid methodologies and continuous integration. - High attention to detail and proven ability to manage and deliver on multiple, competing, and conflicting priorities simultaneously. - PMP, PRINCE2, Project+, or similar project management certifications Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Los Angeles, USA Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains.  We work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value.  As a Staff Software Engineer, you’ll drive important features and provide other engineers with a clear illustration of extraordinary engineering. The UnEco (or Unreal Ecosystem) team has an impact on a wide array of topics, including  audio, test automation, runtime performance, tooling, and CI/CD. As a Staff Software Engineer on the UnEco team, you’ll gain organizational alignment by building a strong engineering vision and offering creative solutions to technical problems. You will also serve as a mentor for your fellow engineers, helping guide their performance and finding growth opportunities delivering compelling player experiences. The ideal candidate in this role will bring substantial experience in both performance optimization and tooling, enabling them to be versatile across both partnering with game teams to deliver solutions to complex performance issues and provide central tooling solutions to help teams deliver faster and with more confidence. Responsibilities: Be hands-on in development, writing excellent code that sets a high standard for other engineers. Work with leadership on prioritization of work efforts and identifying opportunities for impact. Partner with game teams to diagnose issues and improve player-facing performance. Partner with infrastructure teams to analyze and drive recommendations around bandwidth optimization, server density, resource utilization, etc. Improve and optimize the developer experience, including improving cook and build times, editor load times, and understanding and fixing developer pain points. Lead the technical execution of multi-month to year-plus work efforts across the business unit, holding teams to established standards. Help teams navigate ambiguity and complexity by breaking down problems, identifying risks, and clearly communicating trade-offs. Work on a range of tech stacks including underlying infrastructure, build and test automation, release pipelines, and developer tooling for internal teams leveraging the Riot Unreal Ecosystem. Work with stakeholders across the organization to address their pain points and exceed their expectations for how optimization and performance improvements can be realized without sacrificing quality. Be a standard-bearer and role model of Riot values for your team and others. Be a force multiplier for your team. Mentor senior engineers on your team and enable them to deliver complex projects. Required Qualifications: 5+ years of software engineering experience Expertise with C++ Experience working with modern video game engines Experience working with large game teams Experience working with large code bases Experience debugging, profiling and optimizing complex projects Strong knowledge of common game and software design patterns Experience collaborating with teammates across multiple disciplines Experience shipping games across multiple platforms Experience with profiling tools like Unreal Insights or Pix Experience with tools engineering to support internal development Experience building and maintaining developer tools that improve engineering productivity and enable efficient software development across teams. Desired Qualifications: Experience with Unreal Engine 5 Experience building online games Experience with rendering in Unreal Engine titles For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: New York, New York, United States About the Role iCapital is seeking an Assistant Vice President or Vice President Product Manager to join the Pre-Investment Product organization. This highly visible role will help shape the experiences and platform capabilities that enable the discovery, evaluation, research, and access of alternative investment opportunities. Operating at the intersection of Product, Engineering, Data, Operations, and Client Solutions, this individual will contribute to intuitive marketplace experiences and scalable solutions that support informed investment decisions. This role offers the opportunity to influence the continued evolution of the pre-investment experience while supporting future growth, product innovation, and platform expansion. Responsibilities Own the vision, strategy, roadmap, and execution for product discovery, research, diligence, and access capabilities across the iCapital platform. Partner with internal stakeholders and external clients to identify business challenges and develop innovative solutions that improve the pre-investment experience and client satisfaction. Lead large-scale cross-functional initiatives involving multiple teams, systems, and business processes while balancing tactical delivery with long-term platform strategy. Manage the end-to-end product lifecycle from discovery through launch and continuous improvement, including prioritization, requirements definition, testing, rollout planning, adoption monitoring, and iterative enhancement. Translate complex business workflows into intuitive user experiences by defining business requirements, user stories, process flows, acceptance criteria, business rules, and success metrics. Partner with Engineering and Architecture teams to build scalable services that improve search, browsing, filtering, discovery, comparison, personalization, fund visibility, and product accessibility across the platform. Develop a deep understanding of investment product data, user personas, and user journeys to enhance research and diligence experiences and support informed investment decisions. Utilize qualitative and quantitative insights to improve user engagement, platform adoption, operational efficiency, and self-service capabilities for internal and external users. Identify opportunities to leverage artificial intelligence, automation, and workflow optimization to simplify operational complexity and enhance product research, discovery, and investment decision support. Communicate priorities, progress, risks, dependencies, and strategic decisions effectively to stakeholders and senior leadership. Investigate production issues, identify root causes, and drive tactical resolutions and long-term improvements that create scalable foundations for future platform growth and innovation. Qualifications 6–10+ years of product management experience within fintech, wealth management, asset management, investment technology, enterprise software, SaaS platforms, or related industries Proven experience owning and scaling complex products from strategy and discovery through execution, launch, adoption, and continuous improvement Demonstrated ability to independently lead large-scale, cross-functional initiatives Experience building marketplace, search, discovery, recommendation, workflow, research, or data-driven products Strong understanding of access management, entitlement frameworks, visibility rules, permissions, configuration-driven systems, or administrative platforms, including the development of scalable and transparent access capabilities Able to model complex business domains and translate business concepts into logical entities, relationships, workflows, business rules, and scalable platform capabilities Experience creating or reviewing domain models, process flows, user journeys, workflow diagrams, system interactions, and business architecture artifacts Knowledge of technical tradeoffs and proven ability to contribute meaningfully to discussions involving APIs, integrations, platform architecture, scalability, data models, and system design SQL proficiency and comfort working directly with data to investigate issues, validate assumptions, measure outcomes, and inform product decisions Strong analytical and problem-solving skills with the ability to navigate ambiguity and make informed decisions Exceptional communication, organization, and stakeholder management skills, including experience working directly with executive leadership, clients, business partners, and engineering teams Familiar with alternative investments, advisor platforms, broker-dealer ecosystems, RIAs, wealth management workflows, or investment product distribution is strongly preferred Experience with modern product, technical, and collaboration tools, including Jira, Confluence, Figma, analytics platforms, API development tools, AI productivity tools, and data visualization solutions Benefits This position may be filled at either the Assistant Vice President or Vice President level, depending on the selected candidate’s experience and qualifications. The base salary range for the AVP role is $ 120,000 to $150,000 and the range for the VP role is $150,000 to $185,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us X: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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: 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: 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: Toronto Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As an Enterprise Customer Success Manager, you’ll play a critical role in guiding our clients through their journey with Harvey, and help define the future of work at top enterprises and leading Law Firms. This position is pivotal in ensuring our clients not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes and workflows. WHAT YOU'LL DO - Strategic Implementation: Lead the integration of Harvey into client workflows, ensuring seamless adoption and optimal use of our AI solutions. - Training & Enablement: Evangelize the power of LLMs as you meet with and enable end users to adopt Harvey on a daily-basis as it becomes a “must have” product. - Client Relationship Management: Serve as the primary contact for clients with a prescriptive and consultative approach and serving as a thought partner to deliver a superior customer experience. - Success Metrics Management: Leverage adoption rates, utilization metrics, and other KPIs to drive strategies ensuring client satisfaction and high ROI. - Advocacy and Engagement: Encourage user and stakeholder engagement, transforming them into Harvey advocates within their organizations. - Customer Health Monitoring: Use analytics and feedback to maintain customer satisfaction, ensuring readiness for renewal and expansion opportunities. - Feedback Loop: Relay client insights back to our internal teams, aiding in the continuous improvement of our product and services. - Travel may be required from time to time, including visits to customer office locations and company offices. WHAT YOU HAVE - Experienced professionals with a background in Enterprise SaaS, legal (big law) or top tier management consulting firms and direct experience managing large-scale technology projects. - Individuals with excellent communication and strategic planning skills, capable of influencing stakeholders at various levels. - Results driven candidates who are able to ruthlessly prioritize competing tasks and demanding customers seamlessly - Team players described as committed, collaborative and proactive with a team-first mentality. WHAT WE OFFER - A chance to be at the forefront of AI technology and innovation, directly impacting how our clients' businesses operate and thrive. - An opportunity to contribute to the growth and direction of our rapidly-evolving Customer Success program, building out best-in-class playbooks and processes. - A collaborative work environment that promotes growth, learning, and development. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote; USA (Remote); Canada (Remote) Workplace: Remote WHO WE ARE Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.   Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! YOUR TEAM AND ROLE We're looking for a Senior Manager Strategic Finance to help lead DuckDuckGo's FP&A processes and strategic finance initiatives. You'll partner with cross-functional leadership on key decisions and evaluate the scale and profitability of new products, M&A and other strategic investments.   You'll build financial models for scenarios such as product expansion, search monetization, marketing ROI, and potential acquisitions. You'll review and summarize financial results and play a key role in quarterly forecasts (P&L, Balance Sheet, Cash Flow) and annual and long-term planning. You'll also own recurring deliverables, including forecast variance, user metrics, P&L and headcount analyses. You'll help scale the team's processes, using AI tools like Claude and BI tools like Tableau and Grafana to make workflows more efficient.   We're a collaborative, transparent, self-motivated team. If our core values (build trust, question assumptions, and validate direction) resonate with you, you'll fit right in!   ABOUT YOU - 8+ years in strategic finance (FP&A, corporate development, investment banking, or consulting). - Advanced Excel and financial modeling, including three-statement forecasts. - Track record of owning complex, ambiguous analysis end to end and tying it to clear metrics. - Experience building working relationships with business partners and collaborating toward company objectives. - An instinct for automating recurring analysis, including with AI tools. - Clear, concise writing for senior leadership in a remote, async environment. - Dashboard experience: Tableau, Grafana, and Sage Intacct are a plus. - Sales finance, GTM, corporate finance, or M&A a plus. - U.S. GAAP accounting and reporting knowledge. - North America based. - Ad-based/subscription, technology, or public company experience a plus. COMPENSATION Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation, plus stock options: - United States: $190,500 to $214,767 USD - Canada: CA$253,500 to $284,417 CAD Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.   Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.   HIRING PROCESS Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire.   DIVERSITY, EQUITY AND INCLUSION DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.   We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.   PLEASE NOTE THAT: - You’ll be required to attend meetings on camera via video conferencing - Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. - While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. - A successful candidate must pass a background check as a condition of joining the team. - By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.   Disclosure Statement: Use of AI in Hiring Process As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.   Key Principles: - Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes. - Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. - Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.   By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!