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Location: Remote-Friendly (Travel-Required) | Washington, DC 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 Governments do some of the most consequential work there is: deciding benefits claims, getting veterans to care, investigating financial misconduct, running unemployment insurance, and producing the analysis that world leaders act on. Anthropic's public sector team exists to put Claude in the production path of that work. In the US and some allied governments, Claude is already in daily use across major agencies and US states. The next steps need a particular kind of product manager: someone who can walk into an institution they have never worked with, sit with the people doing the work and find, alongside them, the workflow that matters. The best government products we know of started as an idea that came out of the room rather than a requirements document. The scope is large: a product portfolio here is a set of governments rather than a feature area. A year in, success looks like agencies delivering services more effectively because public servants are doing core parts of their job with Claude in the loop, and at least one thing that you learn from them shipping to every Anthropic enterprise. That is a lot of surface; you will have to choose where to go deep, and we will back the choice. We are hiring across civilian, state and local, govtech, and national security portfolios and will match you to one on background and interest. Some portfolios require eligibility for a US security clearance, though most do not. You would be among the first product managers on the team, working with a dedicated engineering and research team and with the policy, go-to-market, customer success, and applied AI leads who already spend their days inside these agencies. In this role, you will: Alongside GTM, run discovery inside government institutions to find where Claude belongs in the production path of their work, then shape the product around what you find Own product decisions for our government models and product offerings and the agency workflows built on top of them Spot the government needs worth generalizing and carry them into Anthropic's broader roadmap. Many of Anthropic’s commercial features started as public-sector customer problems Help Anthropic navigate government compliance regimes Partner with our cloud and integration partners You may be a good fit if you: Have shipped successful products end-to-end. We weigh product judgment above any domain credential Can point to something you built that was your idea: it came from watching people work rather than from a requirements document Get things done through teams that don't report to you. In addition to the dedicated team, this role runs through a variety of partner teams inside Anthropic and many offices inside each agency. Move on your own clock. You have shipped in an organization with a fast cadence, or you set the pace in an environment that didn't Have built domain intuition fast in large enterprises that do not resemble each other Are a US person. We have agreements with the US Government that mandate this for these roles. Strong candidates may also have: Roughly 7+ years building and shipping products, or equivalent scope Real intuition for how government operates, earned either from the inside or at a digital services organization or by building products public servants actually use Taken a public-sector or field requirement into a commercial product that succeeded Fluency with AI products: evaluations, model behavior as part of the product surface Shipped inside a FedRAMP, classified, or comparable compliance boundary Negotiated with or steered large partners such as cloud providers or systems integrators An active TS/SCI security clearance with the US government (relevant for only some roles) Ability to travel up to 25% of the time 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: $305,000 — $385,000 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: London Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Software Developer , you will be an integral member of a team of experienced technologists, quantitative researchers, and traders. Your team will work closely to solve challenging technological problems by contributing to our full tech stack, from hardware and software development to grid computing. We are looking for individuals eager to learn new technologies to create innovative solutions and choose the right tools to directly impact our business. You will be surrounded by cutting-edge technology, given immediate responsibility, mentored by industry-leading engineers, and attend a robust training program, all to provide you with the best possible environment to succeed at DRW. How you will make an impact… Design, develop, test and deploy proprietary software such as: Trading strategy simulation software optimized for distributed computation Large scale data acquisition, storage, accessibility, and visualization Ultra-low-latency trading strategies Complex algorithmic trading systems Real time trade management and risk analysis platforms Low level optimizations for data processing Fully automated trading strategies Adapters for exchange protocols Robust inter process communication mechanisms Analyze and tune system performance Collaborate with experienced teammates to learn and implement bespoke solutions that balance speed, features, and cost to improve our technology stack What you bring to the team… A degree in computer science, physics, mathematics, or any related engineering discipline graduating between December 2026 and August 2027 (Bachelor’s, Master’s, PhD) Excellent software development skills in modern C++, Java, or Python Skills in network programming (TCP/IP), multi‐threaded applications, computational intelligence, real‐time programming, or GUI programming A strong understanding of object-oriented design, data structures, and algorithms A solid foundation in programming with the ability to think, communicate, and code clearly Strong communication skills to advocate your ideas in a clear and concise manner to the team DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities, and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital, and cryptoassets. We operate with respect, curiosity, and open minds. The people who thrive here share our belief that it’s not just what we do that matters – it's how we do it.  DRW is a place of high expectations, integrity, innovation, and a willingness to challenge consensus. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DNI

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are hiring a Senior Product Marketing Manager to join the Solutions Marketing team to build the foundation for how Harvey's products show up as real, usable solutions for legal professionals. You'll set the standard for how Harvey packages, launches, and enables solutions across legal teams and emerging markets. Working closely with Marketing, Product, and GTM teams to define clear workflows, practical use cases, and repeatable, customer-ready assets across different segments and buyers. Success shows up as shared clarity across GTM, faster customer adoption and value realization, quality pipeline, and a durable story that scales as Harvey grows. WHAT YOU'LL DO - Lead go-to-market strategy for a core solution area, translating product capabilities into messaging and positioning tailored to the vertical, persona, and segment size. - Enable GTM teams with solution-led messaging, demo storylines, playbooks, and customer-ready materials that support the enterprise sales motion. - Partner with Product and Core Product Marketing to shape launches and own how it gets packaged and adapted across target verticals and personas. - Partner with Demand Gen and Content to develop full funnel campaigns that build thought leadership, drive demand, and mature pipeline. - Regularly conduct market, customer, and competitive research, grounding positioning and strategy in real customer needs and differentiated value. - Align on solutions prioritization and market opportunity across Product, GTM, and Marketing leadership teams. WHAT YOU HAVE - 6-8+ years of experience in Product Marketing, Solutions Marketing, or a related role in B2B SaaS. - Proven experience marketing complex, workflow-driven products to enterprise buyers. - Demonstrated ability to connect technical product capabilities to customer problems, outcomes, and business value. - Expertise in developing positioning and messaging, and translating it into sales-facing and customer-facing assets across different audiences, segments, and verticals. - Experience contributing to product launches, including translating core launch messaging into content for specific industries or personas and building out assets. COMPENSATION $137,600 - $206,400 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LR1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are hiring a Senior Product Marketing Manager to join the Solutions Marketing team to build the foundation for how Harvey's products show up as real, usable solutions for legal professionals. You'll set the standard for how Harvey packages, launches, and enables solutions across legal teams and emerging markets. Working closely with Marketing, Product, and GTM teams to define clear workflows, practical use cases, and repeatable, customer-ready assets across different segments and buyers. Success shows up as shared clarity across GTM, faster customer adoption and value realization, quality pipeline, and a durable story that scales as Harvey grows. WHAT YOU'LL DO - Lead go-to-market strategy for a core solution area, translating product capabilities into messaging and positioning tailored to the vertical, persona, and segment size. - Enable GTM teams with solution-led messaging, demo storylines, playbooks, and customer-ready materials that support the enterprise sales motion. - Partner with Product and Core Product Marketing to shape launches and own how it gets packaged and adapted across target verticals and personas. - Partner with Demand Gen and Content to develop full funnel campaigns that build thought leadership, drive demand, and mature pipeline. - Regularly conduct market, customer, and competitive research, grounding positioning and strategy in real customer needs and differentiated value. - Align on solutions prioritization and market opportunity across Product, GTM, and Marketing leadership teams. WHAT YOU HAVE - 6-8+ years of experience in Product Marketing, Solutions Marketing, or a related role in B2B SaaS. - Proven experience marketing complex, workflow-driven products to enterprise buyers. - Demonstrated ability to connect technical product capabilities to customer problems, outcomes, and business value. - Expertise in developing positioning and messaging, and translating it into sales-facing and customer-facing assets across different audiences, segments, and verticals. - Experience contributing to product launches, including translating core launch messaging into content for specific industries or personas and building out assets. COMPENSATION $137,600 - $206,400 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LR1 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: Washington DC Workplace: Remote 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 Harvey's Sales Manager, Public Sector leads our go-to-market into United States federal, state, and local government legal organizations. This is a build role. You will recruit and lead a team of Enterprise Account Executives covering federal agencies and state and local government, and you will own the number for the segment — quota, pipeline, forecast, and execution. Harvey already has active engagements at government agencies; your job is to turn early momentum into a durable, repeatable government sales motion. WHAT YOU'LL DO - Recruit, coach, and lead a team of Enterprise AEs across Federal and State & Local, including sourcing and closing the founding hires. - Own quota attainment, pipeline generation, and forecast accuracy for the Public Sector segment. - Build the public sector sales playbook from zero — qualification criteria, procurement path selection, security review sequencing, and fiscal-year timing. - Carry a small number of strategic accounts personally through the first two quarters while the team ramps. - Partner with the Head of Public Sector on channel strategy and on FedRAMP and StateRAMP/GovRAMP positioning. - Work cross-functionally with Legal Engineering, Security and Compliance, Legal, and Finance to move agency security reviews, authorizations, and contract vehicles forward. - Represent Harvey across the government legal and gov-tech community in Washington and in-market. - Travel as required, including agency sites and Harvey offices. WHAT YOU HAVE - 8–10+ years of technology sales experience, including 3–5+ years managing public sector sellers. - Personally carried and hit a public sector quota as an individual contributor before moving into management. - Experience standing up a public sector sales team, region, or territory from scratch — not advising or supporting one that already existed. - Fluency in government procurement: GSA schedules, GWACs, OTAs, sole-source and exemption pathways, FAR fundamentals, and state tender and cooperative purchasing processes. - Comfort with long, non-linear cycles and fiscal-year budget dynamics. - Ability to lead complex, multi-threaded sales spanning agency general counsel, CIO and CISO organizations, contracting officers, and end-user attorneys. - Genuine conviction about the mission and about equipping public servants with frontier technology. NICE TO HAVE - Existing relationships across federal agency legal, CIO, or CISO organizations. - Prior experience selling into legal departments. - Experience managing a government reseller or channel relationship. COMPENSATION $400,000 - $440,000 USD OTE 50/50 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AD2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Warsaw, Poland; Lublin, Poland; Szczecin, Poland; Poznań, Poland; Gdańsk, Poland; Katowice, Poland; Łódź, Poland; Wrocław, Poland; Bydgoszcz, Poland; Białystok, Poland Workplace: remote Kodland is a digital platform connecting tutors and children aged 5 to 17, teaching game development (Unity/Roblox/Minecraft), programming (Scratch/Python), web development (Javascript, HTML, CSS) and digital design (Blender/Photoshop). Kodland's goal is to prepare children for the future. We help them acquire skills that set them up to succeed in their careers and develop their interests. Kodland operates in 40 countries and educates over 30,000 students. Position description: Delivering engaging and fun lessons based on the programmes and materials provided by us. Developing teaching skills with the support of Kodland mentors. Sharing feedback on lessons and materials with the team. Providing regular and detailed reports on student progress and improving the learning process and children's engagement. Representing Kodland in a positive, influential, and friendly manner. Implementing creative ideas to support students. You have experience in Roblox Studio, Lua, Scratch, Python or Unity. You are ready to learn Roblox or Scratch with us. What we offer: A young, supportive, and friendly team. Ready-made scripts and materials for all lessons. Commitment to your personal development through regular training. Discounts on all our courses for friends and family. No teaching experience is required, however to be invited for an interview you must complete a digital skills test (which will be sent after applying). Basic knowledge of Roblox is required. Important: This is a remote position, so you will need your own laptop, a stable internet connection, and a quiet place to work. After the interview, you will be asked to complete a test. Candidates have the opportunity to learn Scratch and Roblox with us. We offer a B2B contract with the possibility of working as an unregistered sole trader; other available options also include cooperation with the TwójStartup incubator. We invite you to discuss the details during a conversation with our recruiter. If your application is considered suitable, you will receive an email from us in the coming days inviting you to an interview. We therefore encourage you to check your inbox, including your spam folder. To learn more about us and the position, click here: https://www.kodland.org/pl/tutors26

Location: United Kingdom; Ireland; Poland Workplace: Remote As a Staff Software Engineer on Coder’s Agentic Engineering team, you’ll shape the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on while setting the team's technical direction. You’ll lead complex work, make sound architectural decisions, and help other engineers do their best work. WHAT YOU’LL DO HERE - Set technical direction across Coder’s agent harness, integrations, and workflows. - Design and build production systems in Go, with work across React and TypeScript where needed. - Evolve agent execution, tool use, context management, streaming, and long-running workflows. - Extend our provider-agnostic architecture as models and capabilities change. - Lead complex projects from early ambiguity through production. - Raise the engineering bar through design reviews, code reviews, and technical mentorship. - Partner with Product and Design on clear, useful agent experiences. - Improve the reliability, performance, and operability of agentic systems. WHAT WE’RE LOOKING FOR - Deep experience building and operating production software systems. - Strong hands-on experience with Go. - Experience with React and TypeScript. - Hands-on experience building systems around LLMs and agentic workflows. - Experience with model APIs, tool calling, context management, or agent loops. - Strong distributed systems knowledge. - Working knowledge of AWS. - A track record of setting technical direction without formal authority. - Strong architectural judgment and comfort working through ambiguity. - Someone who makes the engineers around them better. OUR TECH STACK - Backend: Go, Postgres - Frontend: TypeScript, React - Infrastructure: AWS, Kubernetes - Observability: Prometheus, Grafana - CI/CD: GitHub Actions BONUS TACOS IF YOU HAVE - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience building coding agents, developer tools, or cloud development environments. - Experience with agent tools, or multi-agent systems. - Experience building abstractions across multiple model providers. - Deep experience with AWS, Kubernetes, Docker and Linux. - Open-source contributions or experience working directly with customers. Coder’s agentic architecture is provider-agnostic. The foundation is already built; this role helps decide how it evolves, where we invest, and how we keep it reliable as the space moves quickly. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for a highly technical and hands-on accounting professional to join our growing finance organization. As a Financial Reporting Manager , you will play a critical role in supporting a public company environment by leading the analysis and documentation of complex accounting matters and ensuring high-quality, compliant financial reporting. This role is ideal for someone who thrives in a fast-evolving AI infrastructure business, where transactions span revenue contracts, large-scale infrastructure investments, strategic financing, and M&A activity. Your responsibilities will include: Prepare and review monthly, quarterly, and annual financial statements and reporting packages for special purpose vehicles (SPVs), ensuring timely and accurate reporting in accordance with U.S. GAAP and applicable entity requirements Support the consolidation of SPV results into the broader company reporting process and coordinate with Corporate Accounting, FP&A, Tax, Treasury, and Legal on SPV-related transactions and reporting matters Maintain and enhance accounting policies, controls, reconciliations, and supporting documentation for SPVs, with a focus on accuracy, consistency, audit readiness, and scalability Coordinate with external auditors on the annual audits of SPVs, including preparation of audit support, management of PBC requests, resolution of audit questions, and evaluation of proposed adjustments Prepare and review technical accounting memos and position papers to support accounting conclusions Support the preparation and review of SEC filings (20-F, 6-K), including footnotes and disclosures Utilize financial reporting tools (e.g., Workiva or Active Disclosure) to prepare and manage SEC filings and ensure accuracy and efficiency in reporting Partner closely with Legal, FP&A, Tax, and Operations to evaluate accounting implications of contracts and strategic initiatives Support SOX compliance and enhance internal controls over financial reporting Drive improvements in financial reporting processes, documentation, and scalability Assist with ad hoc projects related to capital markets activity, M&A, and global expansion We expect you to have: Bachelor’s degree in Accounting or Finance; CPA preferred 5 - 10 years of experience (Big 4 or national public accounting firm required; public company experience strongly preferred) Deep expertise in U.S. GAAP Experience with complex transactions such as M&A, financing arrangements, and capital projects Strong experience with SEC reporting and financial statement disclosures Hands-on experience with financial reporting tools such as Workiva or Active Disclosure Exceptional technical writing skills, including preparation of accounting memos Ability to operate independently and manage multiple priorities in a fast-paced environment Strong interpersonal skills with the ability to influence cross-functional stakeholders It would be an added bonus if you had: Experience in AI, cloud infrastructure, data centers, or high-growth technology companies Familiarity with large-scale infrastructure or hardware-intensive business models Experience with NetSuite ERP system Exposure to international operations and multi-entity structures Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $139,600 — $174,500 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: Mäntsälä, Finland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Mechanical Operations Technician is responsible for the safe, reliable, and efficient operation, inspection, maintenance, and repair of mechanical systems supporting a mission-critical data center in Mantsala, Finland. Working as part of a 24/7 Critical Facilities Operations team, the technician ensures maximum equipment availability while supporting the site's commitments to energy efficiency, sustainability, and operational excellence. Key Responsibilities Critical Facilities Operations Operate and monitor mechanical infrastructure using the Building Management System (BMS) and routine field inspections. Respond to alarms, equipment faults, and operational events in accordance with Standard Operating Procedures (SOPs) and Emergency Operating Procedures (EOPs). Record equipment readings, operating parameters, and shift activities. Support planned switching operations and maintenance windows. Mechanical Maintenance Perform preventive, predictive, and corrective maintenance on mechanical equipment. Troubleshoot mechanical failures and carry out repairs or coordinate vendor support. Assist with commissioning, recommissioning, and integrated systems testing. Maintain accurate maintenance records using the Computerized Maintenance Management System (CMMS). Mechanical Systems Operate and maintain systems including: Chilled water systems CRAH and CRAC units Chillers Air Handling Units (AHUs) Pumps and hydronic distribution systems Heat exchangers HVAC systems District cooling and heat recovery systems (where applicable) Water treatment systems Mechanical valves and piping Expansion vessels and pressure systems Health, Safety & Compliance Work in accordance with Finnish occupational safety legislation and EU health and safety requirements. Follow Permit to Work (PTW), Lockout/Tagout (LOTO), and risk assessment procedures. Use appropriate Personal Protective Equipment (PPE). Participate in emergency response activities and incident investigations. Promote a strong safety culture and environmentally responsible work practices. Qualifications Education Vocational Qualification (Ammatillinen perustutkinto) or Bachelor's degree in Mechanical Engineering, HVAC, Building Services Engineering, Industrial Maintenance, or a related technical discipline. Equivalent technical or military experience may also be considered. Experience 2–5 years of experience maintaining mechanical systems in data centers, industrial facilities, manufacturing, hospitals, power generation, or other critical environments. Experience with Building Management Systems (BMS) and CMMS software is preferred. Technical Skills Knowledge of: HVAC and cooling systems Chilled water and hydronic systems Pumps, motors, and heat exchangers Mechanical fault diagnosis Building Management Systems (BMS) Computerized Maintenance Management Systems (CMMS) Mechanical drawings and Piping & Instrumentation Diagrams (P&IDs) Energy-efficient building systems Preferred Qualifications Occupational Safety Card (Työturvallisuuskortti) Hot Work Card (Tulityökortti) First Aid Certificate (EA1 or equivalent) Refrigerant handling qualification (where applicable) Fluent English (written and spoken) Finnish language skills are beneficial but not essential Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New York, New York, United States About the Role iCapital is looking for a Regulatory Reporting Associate to join the Regulatory and Compliance team. This individual will work closely with the Vice President of Regulatory Reporting and the Co-Chief Compliance Officers on a variety of compliance matters, most specifically those pertaining to regulatory reporting. Responsibilities · Liaise with relevant business teams to collect and aggregate data and prepare for submission various U.S. and international regulatory filings including, Form ADV, Form PF, BE-185, Form SLT, Form 45-106F1, and Regulation D and blue-sky filings. · Develop, update, and implement procedures, as needed, to ensure robust processes for regulatory filings. · Monitor and analyze industry-wide compliance initiatives and federal, state, and non-U.S. regulatory developments to determine how such developments may impact iCapital’s activities and reporting requirements, as well as discuss such changes with senior management. · Inform senior management of any material regulatory or operational changes. · Collaborate with internal and external stakeholders to improve data quality, processes, operational readiness, scalability, and efficiency. · Assist with ad-hoc compliance-related matters. Qualifications · 2-5 years of registered investment adviser experience, preferably in preparing regulatory filings · Experience with alternative investments and understanding of compliance restrictions around private placements, including SEC filings for private funds · Comfortable leading discussions and initiatives with senior internal and external stakeholders · Able to manage multiple deadlines and projects · Organized and detailed oriented with big picture capability · Strong interpersonal and leadership skills · Willingness to learn new topics and work in an evolving business environment · Proficiency in Microsoft Excel and Microsoft Word and an aptitude to quickly pick up additional technologies Benefits The base salary range for this role is $ 70,000 to $ 95,000. 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 Twitter: @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: Munich, Germany 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 an Applied AI Engineer on our Enterprise team, your role is to guide some of Germany's largest businesses to the frontier of AI and help them deploy Claude into their operations, their products, and their ways of working. You will become the go-to Claude Platform specialist and trusted technical advisor for your customers, advising their engineering teams on architecture, agent design, and evaluation, and working with the C-level and senior executives who sponsor these programmes to show the business value Claude can create and help them reach a confident decision to build on Claude. Enterprise deals are different. Procurement cycles are longer, more stakeholders are involved, and success depends on being able to connect the technical work to the outcomes the boardroom cares about. You will be as comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, and you will carry the technical thread across every stage of a multi-quarter engagement. Much of this work happens in German, with German executives and engineering teams, so native or fluent German is essential for the role. You will partner closely with Enterprise Account Executives and Applied AI Architects to take each customer from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude. Once they have decided, you set their systems integration partner up to deliver, agreeing the target architecture and what good looks like, and you stay close as the customer's technical advisor on Claude throughout deployment, while the partner does the build. Working alongside Anthropic's Product and Engineering teams, you will use your knowledge of the Claude Platform to advise on evaluation, recommend architectures that meet enterprise security and scale requirements, and create the technical and business resources that help large organisations succeed with Claude. Responsibilities Partner with Enterprise Account Executives and Applied AI Architects to take enterprise customers in Germany from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude Lead the technical side of each opportunity through to that decision, and remain the customer's technical advisor on Claude as they deploy Set customers and their systems integration partners up to deliver: agree the target architecture, define what good looks like, and stay on hand to advise the delivery team as the build progresses Guide enterprise customers to the frontier of AI, advising them on how to deploy Claude into their operations, their products, and their ways of working Help customer engineering teams see how they would build on Claude, covering architecture, agent design and evaluation, so they can make a confident decision Build and present the business value case for Claude with C-level and senior executives, in German and English, linking technical capabilities to measurable outcomes such as cost, revenue, risk, and time to market Guide customers through long, multi-stakeholder procurement and adoption cycles, including technical evaluations, proofs of concept, security and architecture reviews, and a clear path to production Work with Account Executives on account strategy, deal qualification, and executive engagement plans, and with Applied AI Architects to keep context and continuity across every engagement Run executive briefings, technical workshops, and enablement sessions for both leadership and engineering audiences Navigate enterprise requirements around security, compliance, data residency, and governance, working with Anthropic's internal teams where needed Identify patterns across enterprise engagements and feed insights back to Product, Engineering, and the wider Applied AI team Travel to customer sites across Germany for executive meetings, workshops, and relationship building You may be a good fit if you have Native or fluent German, written and spoken, as you will work day to day with German enterprise customers at both executive and engineering level 6+ years of experience as a Software Engineer, Solutions Architect, Forward Deployed Engineer, or technical founder Experience in a pre-sales or technical advisory role selling into large enterprises, ideally in the German market, including scoping and designing complex solutions Experience with value-based selling, meaning you can build a business case, quantify impact, and present it to senior decision makers Comfort presenting to, and building relationships with, C-level and VP-level stakeholders Experience owning the technical win in enterprise deals: evaluations, proofs of concept and technical due diligence with engineering, security, legal and procurement teams Production experience with LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale A hands-on engineering background, including building and deploying production applications, so you can relate to engineering leaders and their teams Familiarity with enterprise security, compliance, and architecture requirements, and experience working through them with customer teams The ability to explain complex AI concepts clearly to both technical and executive audiences, and to move between industries such as financial services, healthcare, retail, and manufacturing A passion for making powerful technology safe and beneficial 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: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation. Staff Software Engineer – Data Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale. The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity. We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data platform. Responsibilities · Design, build, and operate large-scale distributed data systems that power real-time and near real-time analytics,, and data-driven applications across PlayStation. · Lead the architecture and evolution of RTAP’s stream processing and analytics platforms, improving scalability, reliability, performance, and developer productivity. · Own critical platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management. · Build and optimize distributed data services using technologies such as Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid to support high-throughput, low-latency workloads. · Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable, scalable data platforms. · Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity. · Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization and platform reliability. · Mentor engineers across the organization by reviewing architecture, designs, and code while raising the technical bar through coaching and technical leadership. · Partner with Product, Infrastructure, Security, and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities. · Investigate and resolve complex production challenges involving high-throughput, low-latency distributed systems, ensuring high availability and operational excellence. · Participate in the team's production support and on-call rotation, leading incident response, conducting root-cause analysis, and implementing reliability improvements that strengthen the platform over time · Evaluate emerging technologies and distributed data platforms, recommending investments that improve scalability, reliability, developer productivity, and cost efficiency. Requirements · Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. · 8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering. · Strong proficiency in Python , with experience building production-grade distributed systems and data processing applications. Experience with Scala is beneficial for supporting and evolving existing platform components. · Hands-on expertise designing and operating large-scale stream processing applications using Apache Flink , Apache Spark Structured Streaming , or equivalent distributed streaming technologies. · Production experience designing, operating, and optimizing distributed analytics platforms using ClickHouse , Apache Druid , or equivalent high-performance OLAP/analytics databases, including query optimization, data modeling, and performance tuning at scale. · Experience building and consuming event-driven data pipelines using AWS MSK , Apache Kafka , or equivalent messaging platforms, with a focus on developing reliable, scalable data processing applications. · Experience applying AI/ML techniques and modern AI tooling to automate engineering workflows, improve data pipelines, simplify platform operations, and enhance developer productivity. · Strong systems design skills with the ability to evaluate architectural trade-offs across scalability, latency, throughput, consistency, reliability, and cost. · Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams. Nice to Have · Experience with Databricks , Apache Iceberg , or modern lakehouse architectures, with the ability to design and integrate batch and streaming workloads into scalable, production-grade data platforms. · Experience building or operating multi-tenant, self-service data platforms supporting multiple engineering organizations. · Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment. Your First 90 Days 30 Days: Develop a strong understanding of the platform’s architecture, capabilities, engineering practices, and roadmap.Begin contributing to architecture discussions, feature development, design reviews, and production support.Build relationships within the team as well as across  the Data Platform organization. 60 Days: Take technical ownership of a major platform capability or architectural area. Identify opportunities to improve scalability, performance, reliability, or developer productivity.Collaborate with Data Engineering, Infrastructure, Product, and other partner teams on cross-platform initiatives. 90 Days: Lead the design and delivery of key roadmap initiatives for the team..Influence technical direction across teams and mentor engineers on distributed systems and platform engineering best practices.Establish clear architectural recommendations for the next phase of the platform’s evolution. In 90 days, you will have a detailed understanding of the Real-Time Analytics Platform and its role within PlayStation’s broader data ecosystem. You will be comfortable owning complex distributed systems initiatives, partnering closely with Product and Engineering teams, and driving large-scale solutions from architecture through production delivery. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $198,200 — $297,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote Canada 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 Enterprise Risk & Internal Audit The Enterprise Risk & Internal Audit department protects Affirm’s operations and long-term success. We identify, assess, and monitor risk across the business. Our work includes internal audits, regulatory assurance, fraud prevention, and crisis planning. The team maintains strong controls, tracks key risk indicators, and ensures readiness for external reviews. We uphold accountability, transparency, and resilience to support responsible growth. About the Team We're looking for an intelligent, driven professional to join our Model Risk Management (MRM) team as a Lead validator for Finance and Analytics models. MRM serves as Affirm's second line of defense, establishing and overseeing an effective model risk management framework to identify, quantify, monitor, mitigate, and report on model risk throughout the company. What You'll Do: Perform independent challenges of financial and analytics quantitative models — including ALM, allowance/loss forecasting, loan transition models (LTM), corporate financial planning models, take-up and engagement models, and related decision-support analytics — through rigorous validation and ongoing monitoring Lead end-to-end validation engagements on high-complexity, high-criticality models Identify model weaknesses, limitations, and opportunities for improvement; articulate findings clearly to technical and non-technical stakeholders Collaborate with model owners and stakeholders across Finance, Quantitative Research, and Growth Analytics to remediate validation findings and strengthen model governance Partner cross-functionally to implement and maintain the company's MRM framework Partner with Internal Audit, Internal Controls, Accounting, and Compliance to ensure timely resolution of audit, regulatory, and examiner requests What We Look For: 4–6 years of professional experience in related technical areas such as model development, model validation, quantitative finance, or data analytics — with meaningful exposure to financial and/or analytics model validation Deep and broad knowledge of corporate finance, treasury, ALM, and/or actuarial/statistical forecasting Experience in credit underwriting, credit risk management is a plus Proven ability to work with scripting languages (e.g., Python) and large-scale datasets (e.g., SQL); comfort reviewing models built in Excel, Python, Databricks, or similar environments Experience with statistical modeling, time-series forecasting, simulation, and/or machine learning techniques as applied to finance and analytics use cases BS, MS, or PhD in a quantitative field such as Quantitative Finance, Financial Engineering, Mathematics, Statistics, Economics, Computer Science, or Data Science Detail-oriented and intellectually curious about data, models, and business context; skilled at critical thinking and structured problem-solving Extraordinary interpersonal and verbal/written communication skills — able to influence model owners, present to senior stakeholders, and navigate cross-functional remediation Pay Grade - M Equity Grade - 8 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.) CAN base pay range per year: $145,000 - $205,000 #LI-Remote 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: Remote US 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 Enterprise Risk & Internal Audit The Enterprise Risk & Internal Audit department protects Affirm’s operations and long-term success. We identify, assess, and monitor risk across the business. Our work includes internal audits, regulatory assurance, fraud prevention, and crisis planning. The team maintains strong controls, tracks key risk indicators, and ensures readiness for external reviews. We uphold accountability, transparency, and resilience to support responsible growth. About the Team We're looking for an intelligent, driven professional to join our Model Risk Management (MRM) team as a Lead validator for Finance and Analytics models. MRM serves as Affirm's second line of defense, establishing and overseeing an effective model risk management framework to identify, quantify, monitor, mitigate, and report on model risk throughout the company. What You'll Do: Perform independent challenges of financial and analytics quantitative models — including ALM, allowance/loss forecasting, loan transition models (LTM), corporate financial planning models, take-up and engagement models, and related decision-support analytics — through rigorous validation and ongoing monitoring Lead end-to-end validation engagements on high-complexity, high-criticality models Identify model weaknesses, limitations, and opportunities for improvement; articulate findings clearly to technical and non-technical stakeholders Collaborate with model owners and stakeholders across Finance, Quantitative Research, and Growth Analytics to remediate validation findings and strengthen model governance Partner cross-functionally to implement and maintain the company's MRM framework Partner with Internal Audit, Internal Controls, Accounting, and Compliance to ensure timely resolution of audit, regulatory, and examiner requests What We Look For: 4–6 years of professional experience in related technical areas such as model development, model validation, quantitative finance, or data analytics — with meaningful exposure to financial and/or analytics model validation Deep and broad knowledge of corporate finance, treasury, ALM, and/or actuarial/statistical forecasting Experience in credit underwriting, credit risk management is a plus Proven ability to work with scripting languages (e.g., Python) and large-scale datasets (e.g., SQL); comfort reviewing models built in Excel, Python, Databricks, or similar environments Experience with statistical modeling, time-series forecasting, simulation, and/or machine learning techniques as applied to finance and analytics use cases BS, MS, or PhD in a quantitative field such as Quantitative Finance, Financial Engineering, Mathematics, Statistics, Economics, Computer Science, or Data Science Detail-oriented and intellectually curious about data, models, and business context; skilled at critical thinking and structured problem-solving Extraordinary interpersonal and verbal/written communication skills — able to influence model owners, present to senior stakeholders, and navigate cross-functional remediation Pay Grade - M Equity Grade - 8 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 base pay range (CA, WA, NY, NJ, CT) per year: $185,000 - $245,000 USA base pay range (all other U.S. states) per year: $164,000 - $224,000 #LI-Remote 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, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As a Business Development Representative for our North American team, you are the primary engine behind Docebo’s rapid global expansion! You’ll act as a strategic consultant, helping massive organizations transform their training from a mundane "checkbox" into a competitive superpower through world-class AI innovation. By establishing trust with high-level stakeholders, you won't just be filling a pipeline—you’ll be the first person to show these companies a better way for their employees to grow and thrive. 🗓️ THE DAY-TO-DAY - Strategize the Hunt: Identify and map out key stakeholders within our Ideal Customer Profile (ICP) to ensure we are engaging with the organizations that will benefit most from Docebo. - Craft the Narrative: Leverage and create high-impact, compelling messaging that cuts through the noise and sparks genuine curiosity about the future of learning. - Master the Outreach: Connect with potential clients via outbound calling, using active listening and rapport-building to turn cold introductions into warm opportunities. - Elevate the Experience: Provide a world-class first impression for inbound prospects, acting as a knowledgeable guide to how Docebo can help their teams excel. - Architect Your Success: Manage your calendar with precision, dedicating time to high-value activities that ensure you hit your goals and fuel the Docebo growth engine. - Drive the Impact: Focus relentlessly on pipeline generation, growing both the business and your own professional career as you contribute to our global mission. ⚡ YOUR SUPERPOWERS - Command the Conversation: You have the elite ability to qualify prospects, plan your approach, and maintain control of high-level business discussions. - Fuel the Fire: You are a self-motivated, results-oriented "go-getter" who thrives on hitting targets and exceeding expectations. - Communicate with Clarity: You possess exceptional communication and problem-solving skills, allowing you to explain complex AI solutions with ease. - Maintain the "Glass-Half-Full": You bring an infectious, positive energy to the team and approach every challenge with a solution-oriented mindset. - Think Outside the Box: You use your creativity and hustle to find unique ways to get in front of the right people and establish immediate credibility. 🌟 BONUS POINTS - Sales Veteran: You have 1+ years of experience in Inside Sales, a Call Center environment, or a Demand Generation/Marketing function. - Customer-Facing Pro: You’ve spent a year or more in Retail, Hospitality, or another high-touch customer service role. - Mid-Market & Enterprise Expertise: You have previous experience navigating the complexities of Mid-Market and Enterprise-level BDR or Sales cycles. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack. Our Solutions Architects own the technical delivery of customer engagements: deploying open-source models, tuning the serving stack, benchmarking against the customer's success criteria, and carrying the technical relationship through to production. Sales Engineers qualify and scope the opportunity; SAs execute it. Technical Account Managers take it from production onward. We're looking for a Manager, ML Solutions Architecture to lead our EU regional SA teams. Your scope is PoC delivery and post-sales technical support : the people who do it, the standard they do it to, and the operating cadence that keeps it predictable. You will report to the Head of Solutions Architecture and partner with a peer manager in the other region. We expect you to push people when they need pushing, make the uncomfortable call when deliverables don't land even though the effort was real, and take ownership of the documentation work: implement and monitor the following of the guidelines, ticket hygiene, and making sure the team actually uses all three. You're welcome to work remotely from any EU country. Your responsibilities will include: Lead the team Manage a team of 8 Solutions Architects, with continued growth planned: 1:1s, goal setting, performance reviews, promotion cases, and individual growth plans Build an accurate picture of each SA's strengths, gaps, and preferences, and allocate accounts and engagements against both expertise and interest Run the cadence that surfaces blockers early, then take them to the development, product, and business teams that can clear them, and stay on them until they do Hold people to outcomes: distinguish effort from delivered results, say so plainly when the two diverge, and reflect it in ratings and compensation decisions Onboard new joiners through to their first independently delivered engagement Coach SAs into stronger engineers and stronger communicators, and make deliberate calls about who is ready for more scope Own delivery Be accountable for your team's delivery outcomes: time from PoC kick-off to first optimized dedicated endpoint, success-criteria hit rate, and the quality of the technical relationship after the customer goes to production Review technical work before it reaches the customer: benchmarking methodology, serving configurations, results, closure documents; catch the wrong conclusion drawn from a metrics artifact before a customer sees it Ensure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries Call infeasibility early and with evidence, rather than letting the team burn iterations against requirements the platform cannot meet today Own the operating system of the team Maintain and extend the team's documentation: responsibilities, runbooks, guides, onboarding, definitions of done, engagement closure templates. Keep it accurate and reachable; link, don't copy Get it used , not just written: documentation nobody reads is a cost, not an asset Keep the ticket tracker the system of record, so PoC and production status is readable without asking anyone Instrument the work: define and report the metrics that show whether delivery is getting faster and more reliable over time Work across teams Development and research teams: convert recurring customer pain into prioritized platform work, and represent the customer's technical reality in roadmap discussions Pre-sales: hold the scoping-to-execution boundary: push back on under-scoped engagements, and feed feasibility signal back upstream Account management: make production handoffs uneventful, and keep post-sales technical requests moving Business and leadership: give a straight read on account health, technical feasibility, and capacity needs We expect you to have: 3+ years managing technical teams, including performance management and difficult conversations Experience managing a customer-facing team. Running a team whose work is visible to customers, on customer timelines, with customer escalations. Strong ML knowledge: LLM architectures, fine-tuning approaches (SFT/LoRA, RL-based), evaluation design, and a working command of inference internals — quantization, KV-cache management, batching, routing, speculative decoding — and of the frameworks the team works in (vLLM, SGLang, TensorRT-LLM) Enough technical judgment to review someone else's benchmark and find the flaw in the methodology, not just in the conclusion Python strong enough to read and review your team's code Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences, from engineers to executives, including in front of enterprise customers under pressure Genuine tolerance for operational work: documentation, process design, reporting, and the follow-through that makes them stick Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down It would be an added bonus if you have: References from both former managers and former direct reports Experience scaling a team through rapid growth (5 → 15+) without losing delivery quality Prior experience in a customer-facing technical function at a cloud, inference, or AI infrastructure provider Experience defining process and documentation for a team that had none Hands-on background running LLMs in production and debugging inference workloads at the framework level Work with multimodal AI models (vision-language, speech) Proficiency with DevOps tooling (Docker, Kubernetes) and infrastructure-as-code Preferred technical stack: Programming languages: Python ML frameworks and libraries: vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs MLOps and DevOps tools: Kubernetes (K8s), Docker, Git Cloud platforms: AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) 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. The role This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack. Our Solutions Architects own the technical delivery of customer engagements: deploying open-source models, tuning the serving stack, benchmarking against the customer's success criteria, and carrying the technical relationship through to production. Sales Engineers qualify and scope the opportunity; SAs execute it. Technical Account Managers take it from production onward. We're looking for a Manager, ML Solutions Architecture to lead our US regional SA teams. Your scope is PoC delivery and post-sales technical support : the people who do it, the standard they do it to, and the operating cadence that keeps it predictable. You will report to the Head of Solutions Architecture and partner with a peer manager in the other region. We expect you to push people when they need pushing, make the uncomfortable call when deliverables don't land even though the effort was real, and take ownership of the documentation work: implement and monitor the following of the guidelines, ticket hygiene, and making sure the team actually uses all three. You're welcome to work remotely from the United States. Your responsibilities will include: Lead the team Manage a team of 4 Solutions Architects, with continued growth planned: 1:1s, goal setting, performance reviews, promotion cases, and individual growth plans Build an accurate picture of each SA 's strengths, gaps, and preferences, and allocate accounts and engagements against both expertise and interest Run the cadence that surfaces blockers early, then take them to the development, product, and business teams that can clear them, and stay on them until they do Hold people to outcomes: distinguish effort from delivered results, say so plainly when the two diverge, and reflect it in ratings and compensation decisions Onboard new joiners through to their first independently delivered engagement Coach SAs into stronger engineers and stronger communicators, and make deliberate calls about who is ready for more scope Own delivery Be accountable for your team's delivery outcomes: time from PoC kick-off to first optimized dedicated endpoint, success-criteria hit rate, and the quality of the technical relationship after the customer goes to production Review technical work before it reaches the customer: benchmarking methodology, serving configurations, results, closure documents; catch the wrong conclusion drawn from a metrics artifact before a customer sees it Ensure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries Call infeasibility early and with evidence, rather than letting the team burn iterations against requirements the platform cannot meet today Own the operating system of the team Maintain and extend the team's documentation: responsibilities, runbooks, guides, onboarding, definitions of done, engagement closure templates. Keep it accurate and reachable; link, don't copy Get it used , not just written: documentation nobody reads is a cost, not an asset Keep the ticket tracker the system of record, so PoC and production status is readable without asking anyone Instrument the work: define and report the metrics that show whether delivery is getting faster and more reliable over time Work across teams Development and research teams: convert recurring customer pain into prioritized platform work, and represent the customer's technical reality in roadmap discussions Pre-sales: hold the scoping-to-execution boundary: push back on under-scoped engagements, and feed feasibility signal back upstream Account management: make production handoffs uneventful, and keep post-sales technical requests moving Business and leadership: give a straight read on account health, technical feasibility, and capacity needs We expect you to have: 3+ years managing technical teams, including performance management and difficult conversations Experience managing a customer-facing team. Running a team whose work is visible to customers, on customer timelines, with customer escalations. Strong ML knowledge: LLM architectures, fine-tuning approaches ( SFT / LoRA , RL -based), evaluation design, and a working command of inference internals — quantization, KV -cache management, batching, routing, speculative decoding — and of the frameworks the team works in (vLLM, SGLang, TensorRT-LLM) Enough technical judgment to review someone else's benchmark and find the flaw in the methodology, not just in the conclusion Python strong enough to read and review your team's code Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences, from engineers to executives, including in front of enterprise customers under pressure Genuine tolerance for operational work: documentation, process design, reporting, and the follow-through that makes them stick Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down It would be an added bonus if you have: References from both former managers and former direct reports Experience scaling a team through rapid growth (5 → 15+) without losing delivery quality Prior experience in a customer-facing technical function at a cloud, inference, or AI infrastructure provider Experience defining process and documentation for a team that had none Hands-on background running LLMs in production and debugging inference workloads at the framework level Work with multimodal AI models (vision-language, speech) Proficiency with DevOps tooling (Docker, Kubernetes) and infrastructure-as-code Preferred technical stack: Programming languages: Python ML frameworks and libraries: vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs MLOps and DevOps tools: Kubernetes (K8s), Docker, Git Cloud platforms: AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) 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 $228,000 — $285,000 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: Singapore Workplace: hybrid Partnerships Sales Manager - Singapore We are looking for a driven, entrepreneurial Partnerships Sales Manager to join our expanding global Partnerships team and support Sokin’s next stage of growth across Southeast Asia. About us Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business – so businesses thrive wherever they choose to grow. We deliver services across: Global payments and receivables Foreign exchange (FX) Treasury management Finance reconciliations We are rapidly expanding, with an established presence in EMEA, APAC and North America. Backed by strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide. Our clients span industries from sports and entertainment to logistics, travel and e-commerce. As our community grows, we’re building a team of exceptional people who share our ambition to transform the future of global payments. The role As Partnerships Sales Manager, you will identify, develop and grow referral and commercial partnerships that generate sustainable revenue for Sokin across Singapore and the wider Southeast Asian market. You will manage the partner journey from market mapping and initial engagement through commercial negotiation, activation and ongoing growth. This is a hands-on commercial role for someone who can build trusted relationships, navigate regional opportunities and translate partner potential into measurable client acquisition and revenue. You will work closely with Sales, Marketing, Compliance, Product and Client Onboarding to deliver a seamless partner and referred-client experience. Key responsibilities Contribute to and execute the partnerships sales plan for Singapore and priority Southeast Asian markets, aligned with Sokin’s regional and global growth objectives. Proactively generate new partnership opportunities through consistent outbound prospecting, networking, market research and referrals, building and maintaining a healthy pipeline across Singapore and Southeast Asia. Identify, assess and prioritise high-value partnership opportunities across relevant sectors, including fintech, B2B credit, payroll, e-commerce platforms and growth agencies, systems integrators, professional services and other business ecosystems. Build a strong regional pipeline through market intelligence, existing networks, targeted outbound activity, events, referrals and collaboration with Sokin’s global commercial teams. Manage the partnership sales cycle, including discovery, qualification, business-case development, proposal creation, commercial negotiation and agreement finalisation, with support where appropriate. Engage partner stakeholders and clearly articulate the value of Sokin’s global payments, receivables, FX and treasury solutions for partners and their clients. Create joint go-to-market and activation plans that turn signed partnerships into qualified referrals, new clients and sustainable revenue. Own and grow strategic partner relationships, monitoring performance, addressing challenges and identifying opportunities to deepen engagement. Collaborate with Compliance, Legal, Product, Marketing, Sales and Client Onboarding to ensure partnerships are commercially sound, operationally executable and appropriate for the markets they serve. Maintain accurate CRM records, pipeline reporting and forecasts, providing clear visibility of partner activity, conversion, revenue potential and risk. Represent Sokin at relevant industry events and partner forums across the region, building market presence and trusted relationships. Share regional insights and partnership best practice across the business, contributing to sales planning and the continued development of Sokin’s Partnerships function. Requirements 4+ years of experience in partnerships, business development or B2B sales, ideally within payments, fintech, financial services, remittance, e-commerce or a closely related sector. A proactive hunter mindset and the confidence to initiate new conversations, build relationships from scratch and maintain momentum through persistence, curiosity and disciplined follow-up. A proven track record of originating, negotiating, activating and growing strategic partnerships that deliver measurable pipeline and revenue outcomes. Strong knowledge of the Singapore business environment and experience developing commercial relationships across one or more Southeast Asian markets; a broader regional network is a strong advantage. Experience managing multi-stakeholder sales cycles and building credibility with commercial and operational decision-makers. Commercial understanding of cross-border payments, FX, treasury or related financial solutions, together with an awareness of the varied regulatory and operating environments across Southeast Asia. Excellent negotiation, communication and stakeholder-management skills, with the ability to create compelling, value-led propositions for different partner types and markets. Sound analytical and commercial judgement, with the ability to assess strategic fit, revenue potential, implementation requirements and risk. Highly organised and self-directed, with disciplined CRM, pipeline-management, forecasting and reporting habits. Comfort working in a fast-paced, international fintech or scale-up environment and collaborating effectively across functions, cultures and time zones. Willingness to travel across Southeast Asia as business needs require. Desirable Previous experience in fintech, payments, financial services or another relevant finance-led environment. A strong established network among prospective partners in Singapore and across Southeast Asia. Additional language capabilities relevant to Sokin’s priority markets in Southeast Asia. Bachelor’s degree in Business, Finance, Marketing or a related field, or equivalent professional experience. Experience using modern sales tools and CRM platforms; Zoho experience is an advantage. Working at Sokin You’ll join an ambitious, international team in a fast-paced fintech environment, with the opportunity to shape Sokin’s partnerships presence in one of our key growth regions and make a visible contribution to our global expansion. Please note: candidates must have the right to work in Singapore. Sokin is committed to building an inclusive workplace and welcomes applications from suitably qualified candidates.