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Location: Remote - USA Workplace: Hybrid Chainalysis is the leader in blockchain intelligence, defining how trust is built in the digital economy. We're operating at the cutting edge of one of the world's fastest-growing industries, shaping what comes next. Over the last 2 years, Chainalysis has made big bets and moved fast to capture the market opportunity in front of us: we've accelerated growth, landed enterprise-wide contracts at the world's largest financial institutions, completed four acquisitions to build our AI talent and expand our products, and launched our first agentic product to select customers. The Talent Acquisition team at Chainalysis is responsible for scaling the most important ingredient to our success: people. Our job is to build and execute a talent acquisition strategy that is inclusive, rigorous, and repeatable around the world. As we enter a period of significant go-to-market growth, we're investing heavily in our sales organization and need a recruiter who can match that pace. We're looking for a Recruiter, Go-to-Market who will own and drive hiring for sales and go-to-market roles at Chainalysis. This is a high-volume, outbound-heavy role. You'll spend a meaningful portion of your time building pipeline through direct sourcing, identifying and engaging top sales talent across crypto, fintech, and traditional financial services. You'll manage a full requisition load, move fast, and close strong candidates in a competitive market, with Account Executive roles among your key hires. You'll work closely with hiring managers across our enterprise and public sector sales teams, acting as a recruiting partner who understands the business and delivers results. IN THIS ROLE, YOU'LL: BUILD PIPELINE THROUGH OUTBOUND SOURCING - Own pipeline generation for go-to-market roles, with a heavy emphasis on proactive outbound sourcing to find and engage top sales talent - Map the competitive landscape across crypto, fintech, and traditional financial services to identify where strong Account Executives and quota-carrying sellers work today - Develop creative sourcing strategies that go beyond LinkedIn InMails, including referral generation, community engagement, and direct outreach campaigns - Maintain a high volume of outbound activity to keep pipeline ahead of hiring demand RUN FULL-CYCLE RECRUITING AT PACE - Own the full recruiting lifecycle for go-to-market roles, from intake and sourcing through offer negotiation and close - Manage a high-volume requisition load across enterprise and public sector go-to-market teams - Move candidates through the process efficiently while delivering a thoughtful, personalized, and transparent candidate experience at every step - Make data-driven decisions about pipeline health, conversion rates, and sourcing channel effectiveness to keep hiring on track PARTNER WITH HIRING MANAGERS AND THE BUSINESS - Build trusted relationships with sales leaders to develop a deep understanding of their teams, priorities, and what great looks like for each hire - Guide hiring managers through the recruiting process with clear communication, calibrated expectations, and market insights - Share competitive intelligence on talent availability, compensation benchmarks, and hiring trends across relevant markets - Provide regular pipeline updates and flag risks early so hiring plans stay on schedule CONTRIBUTE TO TALENT ACQUISITION AS A TEAM - Champion diversity and inclusion in every search, with intentional focus on engaging candidates from underrepresented backgrounds - Share sourcing wins, market learnings, and process improvements across the Talent Acquisition team - Identify opportunities to improve recruiting workflows, tools, and candidate experiences - Occasionally provide recruiting support for roles outside of go-to-market as priorities and bandwidth allow WE'RE LOOKING FOR CANDIDATES WHO HAVE: - 3+ years of full-cycle recruiting experience with a strong track record of hiring sales and go-to-market talent, specifically quota-carrying roles such as Account Executives, Sales Engineers, and Business Development Representatives - Demonstrated outbound sourcing ability: you build your own pipeline, generate candidate interest through direct outreach, and do not rely on inbound applications to fill roles - Proven track record of recruiting sales talent within the SaaS and Cybersecurity sectors, with a specific focus on candidates who have successfully sold complex solutions into the Fintech, Cryptocurrency, or Traditional Financial Services markets. - Comfort operating at high volume and managing multiple open requisitions simultaneously without dropping quality or candidate experience - Strong organizational skills with sharp attention to detail and consistent follow-through on every candidate and requisition - The ability to build credibility with hiring managers quickly, communicate market realities clearly, and guide decisions with data - A collaborative, low-ego approach to working on a small, close-knit Talent Acquisition team - Curiosity about our industry and genuine interest in learning the Chainalysis product suite and competitive landscape NICE TO HAVE: - Experience recruiting for public sector go-to-market roles (Federal, DoD/Intel) - Familiarity with government clearance requirements and their impact on candidate pools - Experience at a high-growth or pre-IPO technology company - Experience working with Ashby ATS and sourcing tools - Recruiting experience beyond core sales roles, such as professional services, solutions engineering, or customer success This role is ineligible for visa sponsorship. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Задачи: — Тестирование ETL / data pipelines — Валидация данных по цепочке source → warehouse → semantic model → report — Проверка aggregations, measures и business rules — Тестирование BI / analytical solutions — Regression testing Требования: — 3–5+ лет в QA, желательно Data / BI — Strong SQL — Опыт тестирования ETL / data pipelines — Валидация данных по цепочке source → warehouse → semantic model → report — Проверка aggregations, measures и business rules — Опыт тестирования BI / analytical solutions — Regression testing — Jira / Azure DevOps — Понимание dimensional data models Будет большим плюсом: — SSAS Tabular / Power BI — DAX — Automated data testing — Python — Azure / Microsoft Fabric — Опыт в insurance / financial services Ищем по профилям: Data QA Engineer / ETL QA Engineer / BI QA Engineer / Data Test Engineer / Power BI QA

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $700M in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. ABOUT THE ROLE We are looking for a Forward Deployed Engineer to be the technical-creative weapon behind our enterprise business. This role is part cinematic director, part AI production engineer, part educator. You build the demos and proofs of concept that show Fortune 500 brands what's possible, then make those customers succeed in production: broadcast-grade cinematic work, repeatable workflows on the Higgsfield stack, and trained client teams that keep creating after the engagement. The bar for this role is insanely high-quality cinematic knowledge and taste. You know why a shot works: lensing, lighting, blocking, camera movement, pacing, edit rhythm. And you know how to get that out of generative models, reliably, at commercial quality, on deadlines measured in days. WHAT YOU'LL DO SET UP ENTERPRISE CUSTOMERS FOR SUCCESS - Convert client briefs into tailored, visually stunning demos and proofs of concept. - Own the technical-creative side of pilots from kickoff to production rollout. - Track the generative AI model landscape constantly so our work stays ahead of anything the client has seen. DELIVER CINEMATIC WORK - Direct and produce cinematic AI campaigns end-to-end for enterprise customers: creative direction, shot design, character and asset consistency, generation, edit, delivery. - Set and defend a broadcast-grade quality bar that makes the platform look world-class in public. BUILD PRODUCTION WORKFLOWS - Turn one-off wins into repeatable pipelines: model chains, presets, prompt systems, automation (APIs, MCP, agentic workflows). - Reverse-engineer reference ads, film looks, and visual styles into reproducible Higgsfield workflows. EDUCATE AND ENABLE - Train customer teams hands-on: live workshops, demos, documented workflows they actually use. - Become a trusted creative-technical advisor to CMOs, creative directors, and production leads. FEED THE PRODUCT - Bring what you learn in the field back to Product, Engineering, and Research: gaps, failure modes, feature requests, new use cases. YOUR MUST HAVES - A portfolio of cinematic AI work at commercial quality. Portfolio first, we review every single one, and it matters more than your CV. - 5+ years in commercial, film, or creative production; 2+ years hands-on with generative AI. - Deep, current fluency across the generative stack: image and video models, consistency techniques, VFX and motion workflows. You can name the models, the pipelines, and exactly how you got each shot. - Real cinematic craft: shot design, lighting, composition, storyboarding, editing. You can explain why a frame works, not just generate it. - Proven client-facing delivery: pilots, PoCs, or commissioned productions taken from brief to finished high-end results on the client's timeline. - Comfortable presenting to executives and running live demos under pressure. - Ability to teach: you can make a non-technical creative team dangerous with these tools. - High sense of ownership, drive and startup, can-do mentality. You are expected to get running on the ground from Day 1. - High agency. Excellent English. NICE TO HAVES - Background in film, advertising, fashion, or e-commerce content production (director, DP, editor, creative director). - Expert-level familiarity with each AI model, including Higgsfield's proprietary models, tools, plugins and skills - Scripting or automation experience (Python, APIs, ComfyUI, MCP, agent pipelines). - Prior forward deployed, solutions engineering, or sales engineering experience at an AI or creative platform. - An existing audience or community in the AI creative ecosystem. - Experience working with enterprise stakeholders and Fortune 500 brands. THE DEAL - Competitive salary in USD. - On-site role in our Almaty office. - Relocation to Almaty from anywhere: we sponsor and process your work permit, cover your flights, and provide temporary housing while you settle in. - Full-time position.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're building Anthropic's search platform team to create scalable, efficient search capabilities that power Claude's ability to access and retrieve information. In this role, you'll design and implement core search systems from the ground up. Responsibilities: Work with a small, senior team of engineers and researchers to build Anthropic’s search platform from scratch Establish metrics and tooling to measure and improve search quality Enhance search algorithms and indexing mechanisms to boost search accuracy and efficiency You may be a good fit if you: 5+ years building complex distributed systems in production Solid grasp of search fundamentals: indexing, retrieval, ranking Strong coding skills in Python, Go, Java, or similar languages Hands-on experience with high-volume data processing architectures 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: $320,000 — $405,000 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. 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: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As an Associate Applied Scientist, you’ll be embedded in the Applied Science team. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. What you will do Ship production algorithmic systems end-to-end, from problem framing to launch to iteration Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for Bring new ideas to your work, experimenting with approaches beyond the obvious to get better results Produce rigorous, well-validated work others can rely on, and review your peers' code and analyses Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are two problems on our near-term roadmap: Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions. Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. What we're looking for A Bachelor's or Master's degree (in progress) in Computer Science, Mathematics, Statistics, Economics, or a related STEM field, with an expected graduation date of Fall 2026 or Spring 2027. A bias toward action, quickly translating ideas into working prototypes to test approaches. Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them. A solid command of the methods your work calls for and the data your models depend on. Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem. Strong communication skills, with the ability to present your work clearly to senior stakeholders. A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics. What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation The target base comp range for this role is $150,000. Individual compensation will depend on qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive plan and benefits package, including: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health, and more. Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that’s what you’re looking for, we’d love to meet you. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Workplace: fully We are searching for a knowledgeable and passionate ELD Specialist to join our team. In this essential role, you will use your expertise in Electronic Logging Devices (ELDs) and FMCSA compliance to support drivers, dispatchers, and fleet management. You’ll play a pivotal part in ensuring safe, efficient, and compliant transportation operations across our company. Key Responsibilities for ELD Support and Compliance Provide first-line technical support and troubleshooting for ELD hardware, software, and connectivity issues. Train drivers, dispatchers, and team members on proper ELD usage, Hours of Service (HOS), and best practices for electronic log maintenance. Monitor ELD data for compliance, identify exceptions, and generate necessary reports for safety audits and FMCSA mandates. Communicate with drivers and fleet managers to resolve ELD-related questions promptly and professionally. Document and escalate recurring issues to ELD vendors or internal IT for resolution. Maintain up-to-date knowledge of federal and state ELD regulations, ensuring company practices are current and fully compliant. Required Qualifications for an ELD Specialist 1+ year of hands-on experience with ELD systems or related technology in the trucking, logistics, or transportation industry. Solid understanding of FMCSA ELD regulations and Hours of Service rules. Strong troubleshooting skills and ability to guide end users through ELD problem-solving steps. Excellent written and verbal communication skills. Organized and detail-oriented, with a customer-focused approach to support. Ability to manage multiple requests and prioritize tasks in a fast-paced environment. Preferred Skills and ELD Technology Experience Familiarity with major ELD vendors and telematics platforms Experience preparing compliance and incident reports related to ELD usage. Bi- or multilingual communication abilities are highly valued. Previous training experience with adult learners preferred. Comfortable working in hybrid, remote, or on-site transportation environments. Performance Expectations and Desired Attributes Deliver prompt, friendly, and knowledgeable ELD support to drivers and staff. Contribute to continuous process improvements for ELD compliance and reporting. Demonstrate adaptability and resourcefulness when addressing new technology or regulatory changes. Champion safety, reliability, and compliance across the organization. Why Join Our ELD Compliance Team? Be a central part of a company committed to safety, innovation, and operational excellence. Competitive salary, PTO, and career advancement opportunities in the trucking industry. Supportive, team-oriented environment with ongoing ELD and compliance training. Opportunity to make a measurable impact on the efficiency and compliance of our fleet operations. If you are an ELD technology enthusiast with a passion for making compliance simple and effective for commercial drivers and teams, we welcome your application. Join us and drive smarter transportation solutions together!

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: Full Time Internship (June 1, 2027 - August 31, 2027) The Role Help build the technology behind Nex Playground—where games, computer vision, consumer hardware, and cloud services come together to get families moving. The Platform Software Engineering (PSWE) team owns the core platform powering every Playground experience. As a Platform Software Engineer Intern, you’ll own a meaningful project, make real technical decisions, and ship software with visible impact. A dedicated mentor and engineers across the Nex team will support you from design through launch. What You'll Build Your project will match your strengths and interests while solving a real team need. You may: Ship a new capability for PlayOS, Play Services, or the cloud platform. Build an API, service, developer tool, or delivery automation used by other teams. Improve performance and reliability using testing, logs, metrics, and telemetry. Debug problems across device, network, backend, and cloud boundaries. Take your work from idea to launch: design, build, test, document, and measure it. Should Have Must be currently enrolled in an undergraduate or graduate degree program at an accredited college or university. Pursuing a degree in Computer Science, Computer Engineering, Software Engineering, or a related field. Strong programming fundamentals, problem-solving skills, and a learning mindset. Experience with at least one language or runtime such as Kotlin/Java, C/C++, Go, Python, TypeScript/Node.js. Clear communication, collaboration, and care for software quality. Nice To Have Experience with Android, Linux, embedded systems, or device software. Familiarity with backend services, APIs, databases, distributed systems, or Google Cloud Platform. Exposure to CI/CD, containers, release automation, monitoring, testing, or performance optimization. Genuine interest in building platform software that connects devices, cloud services, and player experiences. Curiosity about one or more of these areas: Android or embedded systems, backend and distributed systems, developer infrastructure, games, or technology that helps people be active together. Enthusiasm for learning across technical boundaries and understanding how a feature works end to end. Why You’ll Love This Internship Real Ownership: Ship a production-ready project—not a throwaway intern exercise. Dedicated Mentorship: Learn through regular 1:1s, design reviews, debugging, and code feedback. Broad Exposure: See how device software, cloud services, infrastructure, privacy, and security work together. Future Opportunity: High-performing interns may be considered for a full-time role at Nex. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: As Notion’s product surface expands, we need a builder-teacher who can turn new capabilities into technically accurate education that helps customers confidently build with Notion. In this role, you’ll explore Notion’s newest capabilities, teach by showing, and ship as the product evolves. You’ll be the technical face of Notion Academy: leading workshops, recording walkthroughs, and building implementation guides.   This role is based in New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Expand Notion’s technical education library. Author technically rigorous Academy content, implementation guides, and Help Center resources that make our most complex capabilities easier to understand and adopt. - Become a trusted voice for Notion Academy. Teach customers through video, live webinars, and workshops, demonstrating real workflows and solving problems in real time. - Build with Notion’s newest capabilities. Get hands-on with new product features, use customer insights to identify high-value use cases, and determine top priority workflows for education to focus on. - Reimagine learning with AI. Experiment with adaptive, contextual learning experiences that respond to what customers are trying to build and where they need help. - Prove and scale the impact of technical education. Use product adoption signals to measure impact and improve what we teach, then build reusable standards to help the team deliver effective technical learning faster. SKILLS YOU'LL NEED TO BRING: - Builder mindset: You learn new product features by getting hands-on, experimenting, and building until you understand. - Comfort navigating technical content: you don’t need to write code, but you can read a technical architecture doc, identify what’s outdated, and work with engineers to fix it. - Customer-facing credibility: You’re comfortable teaching, building, and troubleshooting in front of customers. - AI experimentation: You actively use AI to build, learn, and teach technical proficiency. - Product expertise: You can quickly understand a new feature, identify where it creates meaningful customer value, and turn that into practical use cases. NICE TO HAVES: - Notion product expertise - Experience in a customer-facing technical role, such as solutions architecture, sales engineering, developer relations, or technical enablement Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in New York City, the estimated base salary range for this role is $135,000 - $180,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

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 Step into the center of enterprise innovation as you shape the future of how global teams plan, coordinate, and deliver high-impact training! In this role, you’ll tackle complex, ambiguous operational challenges at the intersection of Instructor-Led Training (ILT) and Training Management Systems (TMS) to make training operations seamless for millions. You will have total ownership over end-to-end user journeys, connecting scheduling, approvals, resource tracking, and AI-driven workflows into one beautifully cohesive product experience. If you are eager to turn dense, administrative friction into elegant, high-impact enterprise software, your next big career adventure starts right here! 🛠️ THE DAY-TO-DAY - Frame the Unframable: Turn complex, ambiguous inputs into razor-sharp problem statements, clear workflow maps, and testable design hypotheses. - Connect Ecosystem Workflows: Craft seamless end-to-end interactions across training requests, resource allocations, manager approvals, instructor scheduling, and real-time operations. - Design Complete States: Bring high-caliber interaction design and visual craft to complex planning interfaces, capacity checks, conflict alerts, and recovery paths. - Incorporate Smart AI Assistance: Design trustworthy, intelligent scheduling assistance, conflict detection, and operational summaries that put humans in control. - Prototype and Iterate: Test realistic workflow states and platform behavior quickly using Figma, AI-assisted tools, or light code to de-risk technical feasibility early. - Champion System Alignment: Partner closely with Product, Engineering, and Design System teams to extend reusable primitives, preserve API boundaries, and maintain accessibility. ⚡ YOUR SUPERPOWERS - End-to-End Ownership: Proven track record leading complex, multi-stakeholder product workflows in B2B SaaS, enterprise administration, scheduling, or operations platforms. - Visual & Interaction Mastery: Exceptional capability in organizing dense information into clear hierarchies, responsive states, and polished visual designs. - Systems & Platform Thinking: Ability to design within mature systems, navigate API constraints, and contribute back reusable workflow patterns to our design system. - Evidence-Driven Approach: Deep proficiency in pairing qualitative research and product analytics with technical trade-offs to inform your design decisions. - AI-Assisted Innovation: Skillful use of AI tools for prototyping, research synthesis, design QA, and exploring smart automation user experiences. - Collaborative Influence: Strong communication and facilitation skills to align Product, Engineering, and leadership around clear, impactful product paths. 🎁 BONUS POINTS - Domain Experience: Background in enterprise resource planning, scheduling systems, workforce management, LMS, or HR technology. - Technical Curiosity: Hands-on prototyping experience with data-heavy solver tools, script-assisted workflows, or code-based experiments. 📋 OUR INTERVIEW PROCESS Step 1: We’ll kick things off with a 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and make sure we’re aligned. Step 2: A 45–60-minute conversation with the hiring manager focused on your experience, approach, and what excites you most about this opportunity. Step 3: A 60-minute portfolio deep dive and collaborative case discussion focused on complex operational workflows, platform constraints, interaction and visual decisions, evidence, and measurable learning or impact. Step 4: A final conversation focused on product-area influence, mentorship, values alignment, and cross-functional decision making 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: New York, New York, United States Artificial Intelligence Engineer - Vice President Department: Software Engineering About the Role iCapital is seeking a Vice President Artificial Intelligence Engineer to lead the design, development, and delivery of production-grade AI systems that drive measurable business outcomes across the firm. This individual will own key workstreams and serve as a technical leader, driving system design, mentoring engineers, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability. The ideal candidate is a seasoned engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team. This role is expected to bring independent judgment on a technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions. Responsibilities Lead the architecture and delivery of production AI systems, including document intelligence (IDP), intelligent knowledge systems, agentic orchestration, conversational AI, and generative AI applications, to power internal and external business processes, digital experiences, and workflow automation at scale. Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery. Drive technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, establishing standards that raise the quality bar across the AI/ML platform. Architect and champion robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement. Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly. Mentor and develop engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group. Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity. Qualifications 7+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms, with a proven track record of delivering complex applications from design through production Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software Deep expertise building production AI solutions, including LLM applications, AI agents, retrieval-augmented generation (RAG), conversational AI, document intelligence, and agentic workflows, with hands-on experience using modern AI frameworks, tooling, and protocols such as MCP and A2A Experience designing, deploying, and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments Strong foundation in statistics, experimentation, data quality, and AI system evaluation, with experience developing benchmarks, defining performance metrics, analyzing errors, and optimizing systems for accuracy, reliability, scalability, cost, and latency Experience leading technical design and architectural decisions, conducting code and design reviews, mentoring engineers, and driving engineering excellence across teams Excellent written and verbal communication skills, with the ability to document technical solutions, collaborate with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences Experience spanning multiple AI domains, including LLM systems, document intelligence, and ML platforms or infrastructure Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is preferred Contributions to open-source projects, technical publications, conference presentations, patents, or other demonstrated thought leadership in applied AI and machine learning is preferred Benefits The base salary range for this role is $170,000 to $210,000.  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: New York, New York, United States Artificial Intelligence Engineer - Assistant Vice President About the Role iCapital is seeking an Assistant Vice President Artificial Intelligence Engineer to design, develop, and deliver production-grade AI systems that drive measurable business outcomes across the firm. This role is expected to bring sound judgment on technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions. The ideal candidate is an experienced, hands-on engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team. This individual will own AI projects and defined workstreams, contribute to system design and technical decisions, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability. Responsibilities Design and deliver production AI systems, including document intelligence (IDP), intelligent knowledge systems, agentic orchestration, conversational AI, and generative AI applications, to power internal and external business processes, digital experiences, and workflow automation at scale. Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery. Contribute to technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, following and contributing to team engineering standards across the AI/ML platform. Develop and apply robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement. Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly. Support and mentor junior engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group. Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity. Qualifications 5+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms, with a proven track record of delivering complex applications from design through production Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software Deep expertise building production AI solutions, including LLM applications, AI agents, retrieval-augmented generation (RAG), conversational AI, document intelligence, and agentic workflows, with hands-on experience using modern AI frameworks and tooling Experience designing, deploying, and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments Strong foundation in statistics, experimentation, data quality, and AI system evaluation, with experience developing benchmarks, defining performance metrics, analyzing errors, and optimizing systems for accuracy, reliability, scalability, cost, and latency Experience contributing to technical architecture and design discussions, conducting code and design reviews, and mentoring or supporting the growth of other engineers Excellent written and verbal communication skills, with the ability to document technical solutions, partner effectively with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is preferred Contributions to open-source projects, technical publications, conference presentations, patents, or other demonstrated thought leadership in applied AI and machine learning is preferred Benefits The base salary range for this role is $120,000 to $170,000.  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: New York, United States; San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity We are looking for a US-based Channels & Community Lead to help build our presence across Western crypto communities. This role will focus on building long-term relationships with KOLs, traders, community leaders, builders, and ecosystem partners, while also serving as a visible and credible voice in the Western Web3 market. The ideal candidate understands crypto-native culture, moves fast, builds trust naturally, and can turn relationships into measurable business outcomes. What You’ll Be Doing Build and maintain relationships with Western KOLs, traders, community leaders, builders, and ecosystem partners. Develop a long-term network of high-quality channels across the US and broader Western crypto market. Identify active and influential traders, creators, and community nodes in each market cycle. Support GTM for DEX, X Layer, Wallet, and other Web3 products through channel activation and community distribution. Drive collaborations around new products, assets, campaigns, and ecosystem opportunities. Build and operate Western community initiatives, including trader groups, ambassador programs, and local community partnerships. Act as an external-facing voice for product updates, ecosystem developments, market opportunities, and community engagement. Work closely with Product, Growth, GTM, and Ecosystem teams to translate product capabilities into clear market narratives and distribution strategies. Collect market and user feedback while maintaining strong judgment on what is strategically relevant. Track channel performance and contribute to user growth, trading volume, revenue, and long-term ecosystem retention. What We Look For In You Based in New York or the Bay Area, and able to work closely with the local team. Deep understanding of Western crypto culture, CT, onchain trading, Meme, DEX, and community dynamics. Strong communication and relationship-building skills; comfortable engaging directly with KOLs, traders, founders, and community operators. Highly execution-oriented, proactive, and comfortable operating in a fast-moving environment. Strong commercial sense and ability to connect channel activities with measurable business outcomes. Good product sense and ability to distinguish meaningful user feedback from short-term or low-quality requests. Comfortable building relationships from zero and following through until they become repeatable partnerships. Strong written and spoken English with the ability to communicate naturally in crypto-native communities. High ownership, strong judgment, and a clean professional reputation. Nice to Haves Candidates with existing experience in Web3 BD, KOL relations, community growth, trading platforms, or crypto ecosystems. Candidates with established relationships across Western trader, KOL, or community networks. Candidates who have lived and worked in both Asian and Western environments are a plus. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $178,888 to $214,666 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Munich Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE The Field CTO role is one of Mistral's senior external technical voices; a role for someone who has earned genuine credibility in the AI field and can engage enterprise boards, CIOs, and CTOs as a peer. You will shape how strategic accounts think about their AI strategy, represent Mistral at major industry events, and publish thought leadership that reflects a real point of view on where AI is going. You will work closely with regional sales leadership across your territory and bring what you learn from executive conversations back into Mistral's product direction. This is an externally-facing, influence-driven role. The output is measured in relationships built, content published, and executive conversations that move. WHAT YOU WILL DO Executive engagement Run Mistral's Executive Briefing Center with your regional VP; a selective program for C-level stakeholders at strategic accounts. Build and sustain trusted-advisor relationships with CIOs, CTOs, CDOs, and VP Engineering across your territory. Thought leadership Publish regularly: articles, whitepapers, and analysis of where enterprise AI is heading. Brief Gartner and Forrester on Mistral's roadmap and market position. Track frontier research and bring it into customer conversations. Conference and event presence Represent Mistral at major industry events through keynotes, panels, and roundtables. Build a public presence that generates inbound interest from enterprise executives and the wider AI community. Market feedback Bring what you hear in executive conversations back into product direction. Patterns across accounts on governance requirements and deployment constraints should reach the people building the models. WHAT WE'RE LOOKING FOR - Demonstrable credibility in the AI field. A public track record in AI: published papers, articles, or talks that reflect a clear, defensible position. Your work should read as credible next to Mistral's technical brand. - A stated position on open-weight models and what they change for the enterprises adopting them. Your existing public positions should sit comfortable next to Mistral's. - You are fluent in European data sovereignty and on-premise deployment, at the level that holds up with a CTO or VP Engineering asking hard questions. - You are comfortable engaging C-level stakeholders across multiple verticals on technical architecture and business strategy, in the same conversation. - Cross-vertical fluency, you can credibly engage across financial services, manufacturing, defense, and energy without being a domain specialist in any one of them. - 10–25 years of experience in enterprise technology. You have held roles such as: Field CTO, Principal Architect, or VP Engineering at a major cloud or AI company, or a founder who built technical credibility and executive relationships through their own company. - Comfortable with 30-50% travel depending on your region. NICE TO HAVE - Existing network of CTO and CIO relationships at enterprise accounts in your region - Prior Field CTO or equivalent externally facing technical role at a major cloud or AI company - Fluent in multiple languages spoken across your region WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote, Canada; Remote, Poland; Remote, United Kingdom; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role We are looking for a Principal Engineer to help build GitLab Duo Agent Platform, the agentic orchestration layer that runs AI agents and flows across the entire software lifecycle. Principal Engineers at GitLab are recognized experts across multiple technology domains and represent the senior technical leadership within their organization. In this role you will set technical direction for a significant part of the Agent Platform, working across several teams to turn agentic capabilities into something engineering organizations can actually depend on: predictable, observable, governable, and fast enough to sit in the critical path of real development work. The Agent Platform is not a single service. It spans agent execution and orchestration, flow definition and event-driven triggering, the AI Catalog through which customers discover and manage agents, model routing and evaluation, and the governance surface that decides which agents may act where and under whose identity. It runs on GitLab.com, GitLab Dedicated, and Self-Managed installations, including deployments that use self-hosted models to meet compliance requirements. You will work on the parts of that system where the hard architectural questions live, and you will do it hands-on. This role reports into the VP of the AI Engineering organization and works closely with Engineering Managers, Staff Engineers, Product Management, Infrastructure and Security. What you'll do Define the technical direction for a significant area of Duo Agent Platform across several teams, and partner with Engineering Managers and Product to turn it into a roadmap with a six-month horizon. Build the orchestration layer that makes agents and flows reliable: session lifecycle, tool invocation, context assembly, concurrency, retries, timeouts, and failure modes that degrade gracefully instead of stalling a developer's workflow. Hands on work on driving topics throughout the whole organisation from POC level, architecture to full implementation. Participate in Incident Management on-call rotation, to help meet availability goals for GitLab.com. Strong product builder and ownership mentality. Understanding of product strategy, technical strategy, delivering customer value and iteration towards a successful product Write clear, opinionated design documents, architecture narratives, and decision records that let other teams make aligned decisions. Ensure the architecture holds across multi-tenant GitLab.com, Dedicated, and Self-Managed deployments, including self-hosted model configurations, and respects data governance boundaries in each. Use the platform on our own work, find where it falls short of what we claim, and feed that back through improvements into the product. Mentor Staff and Senior Engineers, and raise the bar for experimentation rigor and cross-team collaboration. Work across the whole platform on different projects, features and teams. This reaches across: Design the extensibility surface so customers can build custom agents and flows, connect their own tools and internal systems, and bring external agents such as Claude Code and Codex into GitLab workflows without weakening the platform's guarantees. Drive down the cost and latency of agentic requests, and work with Product on how model selection, routing, and credit consumption behave as usage grows. Define the evaluation practice for the platform: offline benchmarks and online experiments that measure task completion, correctness, tool-call accuracy, latency, and cost per task, and that catch regressions before customers do. Build the governance and safety surface with Security and Compliance: policy-driven controls over which agents and models may run where, permission and identity semantics that align to existing roles and group structure, human-in-the-loop checkpoints, traceability of every flow session, and audit that stands up to enterprise review. Complete Interview Training and participate in hiring for the department as a technical interviewer or panel member. What you'll bring 8+ years of software engineering experience, including 3+ years at Staff, Principal level or equivalent senior technical leadership. Hands-on production experience building on large language models: agent loops, tool calling, context management, retrieval, prompt and model evaluation. Experience shipping this to real users, not only prototyping it. Strong background in distributed systems, including service decomposition, fault tolerance, observability, and operational resilience under multi-tenant load. A track record of defining evaluation frameworks and using benchmark and experiment results to make architecture decisions, rather than shipping on intuition. Experience designing human-in-the-loop controls, safety guardrails, and responsible AI practices for systems that act on a customer's behalf. Ability to drive alignment across Engineering, Product, Infrastructure, and Security on problems that start out ambiguous. Experience mentoring senior engineers and shaping technical direction across multiple teams without direct authority. Comfort working in one or more of Ruby, Go, Python, or TypeScript, and willingness to work across the stack the platform spans. Excellent written and asynchronous communication, and the ability to work effectively in a fully remote, globally distributed organization. About the team The AI engineering organisation is building the product and infrastructure that make GitLab an effective environment for running agents across the software development lifecycle. We’re distributed across the world and partner with teams throughout GitLab to help the GitLab Duo Agent Platform become the backbone of GitLab's AI features. You will report directly to the VP of Engineering for AI and especially work together with all the teams, the engineering management and other principal engineers in the AI department. This is an opportunity to lead a consequential group as AI changes how software is built. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $250,000 — $325,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: United States Workplace: Remote As ClickHouse scales, we're building the technology and operating foundation Finance needs to continue to enable our rapid growth. As part of that work, we're standing up a dedicated Travel & Expense (T&E) function and are looking for a Senior Expense Specialist responsible for maturing the current processes and day-to-day operational excellence. WHAT YOU'LL DO: Audit, Compliance & Risk - Own expense audit end-to-end - Build and maintain the SOX-ready control environment for T&E, including documentation, testing support, and sign-off readiness. - Track and reduce policy non-compliance, turning an untracked risk into a measured, managed one. Global Policy & Program Ownership - Enforce one global, regionally compliant T&E policy — including EOR employees — to reduce local tax and audit exposure. - Centrally administer and optimize the ClickHouse Expense tool, Corporate Card program and system integrations to the HRIS and ERP systems. Reimbursement & Employee Experience - Cut international reimbursement cycle time from ~30 days to ~7 through automated routing and clear SLAs. - Reduce the time employees spend per claim through better tooling, clearer policy, and self-service support. - Be the primary point of contact for T&E questions, escalations, and edge cases — approval flow issues, policy setup, and offboarding coordination with the People team Reporting, Enablement & Change Management - Build spend dashboards, KPI tracking, and executive reporting where none exists today. - Deliver role-based training and a global T&E champion network, and lead structured change management (ADKAR or similar) to drive adoption of new policy and tools. - Partner with Accounting to complete the handoff of remaining T&E responsibilities. WHAT YOU BRING ALONG: - 4+ years of experience in travel & expense, accounts payable, or finance operations, ideally at a high-growth or Cloud software company with a distributed, multi-entity employee base. - Hands-on ownership of Expensify, Ramp (or a comparable card/expense platform), and NetSuite integrations — you know what breaks in these systems and how to fix it at the root, not just route the ticket. - Working knowledge of SOX controls and audit readiness for expense and card programs; experience building or maintaining automated fraud detection a plus. - Comfort designing policy for a global, multi-entity, multi-employment-type workforce (FTE and EOR, including platforms like Deel), and translating that policy into system configuration. - A track record of building reporting and KPI visibility from scratch — you don't wait for a dashboard to be handed to you, you build it. - Experience running training and change management for a process or tool rollout (ADKAR or similar frameworks a plus). - Ownership mentality: you see a broken process and fix the root cause, not just the ticket in front of you. - Independence: you troubleshoot issues, ask clarifying questions, and propose solutions rather than escalating every ambiguity. - Curiosity: you ask why a process exists before you automate it, and you're a lifelong learner when it comes to new systems. - Follow-through: you see initiatives through to full adoption, not just launch. #LI-remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role The Partner Team at Vercel is charged with creating mutual success for Vercel, our partners, and our customers. We are seeking a Senior Manager, Partner Programs to build and scale the programs, infrastructure, and operating model that turn Vercel's partner strategy into repeatable, high-leverage execution across our entire partner ecosystem, including SIs, GSIs, ISV co-sell, and product partners. Reporting to the VP of Partnerships, this person owns how partner strategy gets operationalized: designing the shared systems, journeys, and enablement that every partner type moves through, so partner leadership and partner managers can focus on strategy, relationships, and growth rather than rebuilding infrastructure partner-by-partner. This is a hybrid position, with a required 3 days per week in one of our San Francisco, Austin, or New York City offices. What you'll do Own the partner journey framework: design and continuously improve the shared journey every partner moves through, from Acquisition to Onboarding to Activation to Acceleration, including eligibility criteria, intake paths, incentives, tiering, and agreements. Lead partner enablement & certification: own the roadmap and delivery model for partner onboarding, training, certification, and badging programs, partnering with PSE and GTM Enablement on technical training content. Establish governance & standards: define tiering, KPIs, and rules of engagement across partner types, and drive consistent standards across Partnerships, Sales, Marketing, Product, and Customer Success. Design repeatable GTM plays: build co-sell, pipeline-generation, and joint go-to-market motions that scale successful partner plays rather than reinventing them per relationship. Run partner communications & community: own ongoing partner comms, news, meetups, summits, self-serve co-marketing kits, and the Partner Advisory Board with its feedback loops. Use data to evolve programs: evaluate program and partner performance using data and partner feedback, and recommend where programs should expand, simplify, or retire. Act as the execution arm of partner strategy: translate partner leadership's priorities (enterprise, agentic pipeline, scale) into clear, resourced programs and roadmaps. What you need 6+ years in partnerships, partner programs, ecosystem enablement, or GTM strategy roles, in AI / Developer tooling. Proven experience and results building and scaling partner programs. Strong understanding of the developer, modern web, and AI agent ecosystem. Experience with PRM systems, marketplaces, or partner ecosystem tooling. Ability to translate ambiguous strategy into concrete, scalable programs and measurable execution. Strong cross-functional leadership; comfortable driving alignment across Partnerships, Sales, Marketing, Product, and Customer Success without direct authority. Data-driven approach to evaluating program performance and partner feedback. Clear, confident communicator capable of building tools, content, and playbooks that other people can execute consistently. Bonus if you have Experience designing governance, tiering, or certification frameworks for multiple partner types simultaneously (SIs, ISVs, GSIs, resellers). Exposure to AI/ML, devtools, cloud, or SaaS startup ecosystems. Experience standing up or migrating PRM/marketplace infrastructure. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA on-target earnings (OTE) range for this role is $175,000 - $230,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role Vercel is hiring a Strategic Product Partnerships Lead to develop first-of-a-kind partnerships that inflect the company's growth. Done well, these partnerships open distribution for our products, create new pipeline for our field teams, and/or add new capabilities to our platform. This is a highly cross-functional and technical role: you will spend as much time with product and engineering leaders as with commercial ones, internally and externally. You will report to the Head of Strategic Partnerships and own a named set of partners that includes hyperscalers, frontier AI labs, silicon vendors, and commerce and enterprise software platforms. The work takes a different shape with each one, but the common thread is that these partnerships live close to the product: embedding Vercel inside a partner's platform, co-building new products, taking a joint offering to enterprises that neither company could sell alone. This is a hybrid position, requiring 3 days per week (Monday, Tuesday, Friday) in one of our San Francisco, Austin, or New York City offices. What you'll do Own a named set of strategic partners end to end, from first conversation through signed agreement to launch and growth Identify and develop new partnerships with the companies that matter most to Vercel's strategy across AI, cloud, commerce, and enterprise software Build the business case: size the opportunity, scope the product and engineering investment it requires, and give leadership a clear recommendation, including when the recommendation is to pass Lead negotiations end to end, structuring commercial agreements that are new to Vercel and often new to the partner: revenue share, embedded pricing, co-sell commitments, marketplace terms Lead cross-functional teams across Product, Engineering, Sales, Marketing, Finance, and Legal to take a signed agreement to launch Run deals with structure: clear milestones, agreed measures of success on both sides, and the judgment to stop the ones that are not working What you need 8+ years developing, negotiating, and executing complex commercial agreements, ideally at a platform, infrastructure, cloud, or developer tools company A track record of initiating partnerships that had no precedent, with companies significantly larger than your own. You can walk through the terms you won and the ones you gave up Experience structuring deals with significant technical surface area: platform integrations, embedded or whitelabeled product, licensing, infrastructure and compute commitments. You can hold a credible conversation with a partner's product and engineering teams about agents, inference, model routing, and cloud infrastructure Experience creating and driving strategy, and getting an organization to fund it Comfortable leading cross-functional teams you do not manage, through Product, Engineering, Legal, Finance, and Sales Strong agency and comfort with ambiguity. You decide what to work on and can defend the choice Excellent written and verbal communication with executives on both sides of the table Bonus if you Have done partnerships at or with a hyperscaler, a frontier AI lab, or a large commerce or enterprise software platform Have structured technology licensing, OEM, or embedded distribution agreements Started in a technical role (engineering, solutions architecture, or technical product) before moving into commercial work Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA salary range for this role is $194,000 - $237,000, plus an annual company target bonus. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Deployment Manager on the Beneficial Deployments team, you will guide customers from a signed contract into a live, governed, and adopted deployment so that customers achieve tangible impact rather than simply incremental improvement with Claude. You'll guide organizations from contract signature to production deployment across Claude for Enterprise, Claude Code, and our API products, fundamentally changing how they work and deliver on their missions. You'll be the technical hands that switch Claude on. Before any organization can drive adoption, before any champion can ship their first workflow, someone has to connect Claude to the customer's identity provider, get the right people provisioned into the right workspaces, and walk their CISO through how it all comes together. That's your work. You turn "we've signed the contract" into "our employees can log in, with the right access, under the right policies, the way our security team expects." This is a high-leverage role where you'll pioneer scalable activation methodologies that enable hundreds of nonprofit customers to unlock transformative use cases and realize measurable outcomes at unprecedented speed. You won't just follow playbooks. You'll design the frameworks and repeatable processes that can be deployed consistently across diverse customer environments, and you'll shape them into programs that reach customers we could never serve one at a time. You'll operate at the intersection of technical deployment, enablement, and program design. Some days you'll be in the weeds with a customer's IT team debugging a SAML assertion; other days you'll be stepping back to ask how the last ten deployments should change the next hundred. Your systems-thinking approach will directly shape how we activate customers, and your strategic management will ensure every customer achieves meaningful outcomes within their first 90 days. By identifying patterns across activations, you'll build replicable approaches to organizational change while maintaining the agility to customize solutions for each customer's unique transformation journey. Responsibilities: Own the complete activation journey from contract signature to production deployment, orchestrating cross-functional resources and customer teams to ensure rapid time-to-value across Claude for Enterprise, Claude Code, and API products. Deploy Claude inside customer environments. Configure and troubleshoot SSO (SAML), SCIM and JIT provisioning, MCP connectors, admin policy templates, and seat-assignment logic across Okta, Entra ID, Ping, and Google Workspace. Deliver informative transitions to Support for deeper issues that require investigation or engineering support. Act as a trusted advisor to customer CISOs and CTOs on governance and enterprise setup. Bring a clear point of view on best practices, help security and IT leadership make the design decisions that determine whether a deployment holds up over time Light up the capabilities that make Claude valuable. Enable and govern MCP connectors to the customer's systems, ensure Skills, Projects, and other capabilities are turned on and configured for their use cases, and work with their IT team on the approvals and OAuth consent this requires, so that day one feels ready Design and scale activation frameworks by identifying patterns across deployments and building templated playbooks that balance standardization with customization for breakthrough outcomes. Turn playbooks into programs. Package what works into repeatable, increasingly self-serve motions (deployment checklists, admin enablement sessions, onboarding cohorts, Claude-powered guidance) so that activation quality no longer depends on you being in the room. Drive organizational transformation by developing change management strategies, rollout plans, and Train-the-Trainer programs that build internal AI champions and catalyze adoption across customer organizations. Define and track success metrics across activation rate, time-to-value, customer satisfaction, and operational efficiency, using data to continuously optimize the motion. Channel customer insights back to Product, Support, and Security teams, serving as voice of the customer so that repeat deployment blockers get solved once. You may be a good fit if you have: 5+ years in customer-facing technical roles such as implementation management, technical account management, technical onboarding, solutions consulting, or customer success, with a track record of running multiple concurrent enterprise deployments with documented handoffs. Experience serving nonprofits or mission-driven organizations. You've worked with (or inside) them and you understand how they differ from commercial enterprises. Hands-on, sustained ownership of enterprise identity integration work. SAML, OIDC, SCIM v2, and JIT provisioning across at least two major identity providers (Okta, Entra ID, Ping, Google Workspace). You can debug a broken SAML assertion or a misconfigured SCIM attribute map without escalating, and you know when a Support handoff is the right call. Experience advising CISOs, CTOs, or IT leadership on enterprise governance and setup for a SaaS or AI platform, with an informed point of view on org topology, access models, RBAC, and OAuth. Working knowledge of security and compliance frameworks (SOC 2, ISO 27001, HIPAA, GDPR) sufficient to anticipate what a customer's security review will ask, and to know when to bring in our AI Security Specialist. You've designed, shipped, and measured programs that serve many customers at once: onboarding cohorts, enablement series, admin academies, lifecycle or engagement motions. You naturally ask "how might we scale this?", turn 1:1 moments into 1:many programs, and instrument what you build so you know what's working. Hands-on fluency with AI in your own workflow. You've prototyped, generated content, analyzed accounts, or replaced internal processes with LLMs, and you can talk concretely about what worked, what didn't, and what's next. You don't wait for AI tooling to arrive; you build it. Organizational change and enablement experience including developing rollout strategies, navigating stakeholder resistance, building internal champions, and designing programs that drive adoption at scale. Comfort building in ambiguity. This is a new role on the team, and what you build becomes the template. You'll thrive creating structure where none exists, adapting quickly as the business evolves, and learning continuously. Data-driven and metrics-oriented. Experience setting and tracking success metrics from day one, using data to optimize approaches, and demonstrating impact to diverse stakeholders. Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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. 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. 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: $200,000 — $265,000 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. 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.