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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's RL Data Platform team builds the systems that produce, move, and serve the human data Claude learns from: the interfaces humans use to give feedback, the pipelines that turn raw feedback into training signal, and the tooling researchers use to launch, monitor, and inspect data collection. Every RL run depends on a steady supply of high-quality data - human feedback, expert demonstrations, graded transcripts - and when a researcher has an idea for new data on Monday, our job is to make it collectable by Wednesday and in the training mix by Friday. This is a full-stack, ownership-heavy role on a small, senior team. You'll design and ship web interfaces used by thousands of expert annotators, build the backend services and data pipelines behind them, and work directly with RL researchers to understand what data they need and why. You'll scope your own projects, make architectural calls, and see them through to production. We're looking for engineers who treat researchers as their users, build for reliability first, and care as much about the shape of the data leaving the system as the UI going into it. Key responsibilities Design, build, and operate the feedback and data collection interfaces used by human annotators, domain experts, and internal researchers. Build and maintain the backend services, APIs, and pipelines that route model samples to humans and return structured feedback to training. Own the reliability, latency, and usability of systems that run continuously against live model endpoints. Partner with RL researchers to translate loosely specified data needs into well-scoped collection campaigns and the tooling to run them. Build dashboards, monitoring, and inspection tools so researchers can see data quality and throughput without asking an engineer. Identify and remove the bottlenecks between "we want this data" and "it's in the training mix". Minimum qualifications Strong full-stack engineering skills, with production experience in TypeScript/React on the frontend and Python on the backend. Experience designing and operating backend services and data pipelines that other teams depend on. A track record of owning projects end-to-end, from an ambiguous brief to something in production that people use. Comfort working directly with technical stakeholders whose needs change week to week, and the judgment to push back when something isn't worth building. Effective use of AI tools in your own day-to-day work. Care about the societal impacts of your work. Preferred qualifications Experience building annotation, labelling, evaluation, or other human-in-the-loop data tooling. Experience with RLHF, preference data, or other human-feedback pipelines for ML systems. Experience shipping researcher-facing or other expert-facing internal tools people love: interviewing users, hunting down friction, measurably improving the experience. Experience running experiments on data collection interfaces and using the results to improve data quality. Experience working with crowdworker or expert vendor platforms at scale. Familiarity with how LLMs are trained and evaluated. Representative projects Build an interface that lets a domain expert review a long agentic transcript, flag the step where things went wrong, and write a corrected continuation - with the result landing in a training-ready format. Rework the sampling path between our feedback interfaces and model endpoints to cut time-to-first-sample for annotators. Build a campaign launcher that lets a researcher stand up a new data collection effort (task, rubric, population, quality checks) without writing code. Instrument annotator behaviour to detect low-effort or adversarial work and surface it to the quality team automatically. Design the data model for a kind of feedback we haven't collected before, and ship the pipeline that gets it into the training mix. 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: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London; Amsterdam 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   As Staff AI Deployment Strategist, you will shape how some of the most ambitious enterprises in the UK & Nordics region adopt frontier AI at scale. This is a senior, high-impact role at the intersection of strategy, technology, and execution. You will work directly on Mistral’s most strategic opportunities and largest deliveries, helping customers move from ambition to measurable business outcomes. You will frame complex AI transformation programs, turn executive priorities into actionable roadmaps, and ensure that Mistral delivers systems that are valuable, scalable, and trusted. You will also act as a senior sponsor on our most critical customer programs, bringing judgment, structure, and delivery excellence to high-stakes engagements. Your mandate is to raise the ambition and quality of AI adoption: helping customers identify where AI can create step-change value, making the right trade-offs, and ensuring that execution matches the strategic promise. This role is ideal for an experienced strategy consultant, transformation leader, or senior operator who wants to move from advising on change to building it directly with frontier AI technology.   WHAT YOU WILL DO - Shape high-impact AI transformations - Partner closely with Mistral’s Sales leadership in the UK & Nordics to qualify opportunities, align on account strategy, and drive executive engagement. - Work with senior customer stakeholders to identify where frontier AI can create material business value. - Structure complex opportunities into clear, credible, and executable transformation programs. - Translate strategic ambition into delivery roadmaps, success metrics, and operating plans. - Help customers make the right trade-offs between ambition, feasibility, speed, and long-term scalability. - Sponsor Mistral’s most strategic deliveries - Act as a senior sponsor on the largest and most complex customer programs, primarily in the UK & Nordics and potentially cross-region as priorities evolve. - Ensure delivery quality, executive alignment, and measurable business impact. - Anticipate risks, unblock decisions, and help teams navigate ambiguity in high-stakes environments. - Bring senior judgment to moments where scope, resources, timelines, or expected value need to be clarified. - Build repeatable deployment excellence - Turn lessons from strategic engagements into reusable approaches, playbooks, and patterns. - Raise the bar for how AI programs are qualified, framed, delivered, and scaled. - Act as a senior relay for the Solutions organization in the region, helping teams adopt shared best practices, adapt them thoughtfully to local market specificities when needed, and strengthen the quality of execution. - Work hand in hand with Solutions leadership to connect customer realities, delivery patterns, and field feedback into practical ways of improving how Mistral deploys AI. - Help codify what great enterprise AI deployment looks like across industries and use cases. - Contribute to a Solutions culture that combines strategic clarity, technical depth, and strong execution. - Develop and multiply senior DS impact - Coach Deployment Strategists on strategic problem-solving, executive communication, and delivery leadership. - Help teams raise the quality of their work on the highest-impact opportunities. - Identify capability gaps and contribute to hiring, staffing, and development priorities. - Act as a force multiplier across accounts, teams, and regions where your experience can have the highest leverage.     WHAT WE'RE LOOKING FOR   You are a senior, highly capable professional with strong executive presence, excellent business judgment, and a track record of leading complex strategic or transformation work. Typical indicators we’re looking for include: - 8–10+ years of professional experience in strategy consulting, digital transformation, AI, enterprise technology, or a similarly demanding environment. - Experience operating at Partner, Principal, Engagement Manager, Director, or equivalent level in a top-tier strategy consulting or transformation context. - A strong ability to structure ambiguous problems, identify value, and turn strategy into execution. - Experience leading large accounts, complex programs, or senior customer relationships. - The credibility to engage with executives and C-level stakeholders on business priorities, trade-offs, and impact. - Strong analytical and commercial judgment, with the ability to challenge assumptions constructively. - Comfort working at the frontier of technology, even when solutions are evolving quickly and the path is not fully defined. - A low-ego, high-ownership mindset and a desire to build with customers and teams, not just advise from a distance. - Fluency in English; German is a strong plus.   Hiring Process   • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview  • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check   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: 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   As Staff AI Deployment Strategist, you will shape how some of the most ambitious enterprises in the DACH region adopt frontier AI at scale. This is a senior, high-impact role at the intersection of strategy, technology, and execution. You will work directly on Mistral’s most strategic opportunities and largest deliveries, helping customers move from ambition to measurable business outcomes. You will frame complex AI transformation programs, turn executive priorities into actionable roadmaps, and ensure that Mistral delivers systems that are valuable, scalable, and trusted. You will also act as a senior sponsor on our most critical customer programs, bringing judgment, structure, and delivery excellence to high-stakes engagements. Your mandate is to raise the ambition and quality of AI adoption: helping customers identify where AI can create step-change value, making the right trade-offs, and ensuring that execution matches the strategic promise. This role is ideal for an experienced strategy consultant, transformation leader, or senior operator who wants to move from advising on change to building it directly with frontier AI technology.   WHAT YOU WILL DO   - Shape high-impact AI transformations - Partner closely with Mistral’s Sales leadership in DACH to qualify opportunities, align on account strategy, and drive executive engagement. - Work with senior customer stakeholders to identify where frontier AI can create material business value. - Structure complex opportunities into clear, credible, and executable transformation programs. - Translate strategic ambition into delivery roadmaps, success metrics, and operating plans. - Help customers make the right trade-offs between ambition, feasibility, speed, and long-term scalability. - Sponsor Mistral’s most strategic deliveries - Act as a senior sponsor on the largest and most complex customer programs, primarily in DACH and potentially cross-region as priorities evolve. - Ensure delivery quality, executive alignment, and measurable business impact. - Anticipate risks, unblock decisions, and help teams navigate ambiguity in high-stakes environments. - Bring senior judgment to moments where scope, resources, timelines, or expected value need to be clarified. - Build repeatable deployment excellence - Turn lessons from strategic engagements into reusable approaches, playbooks, and patterns. - Raise the bar for how AI programs are qualified, framed, delivered, and scaled. - Act as a senior relay for the Solutions organization in the region, helping teams adopt shared best practices, adapt them thoughtfully to local market specificities when needed, and strengthen the quality of execution. - Work hand in hand with Solutions leadership to connect customer realities, delivery patterns, and field feedback into practical ways of improving how Mistral deploys AI. - Help codify what great enterprise AI deployment looks like across industries and use cases. - Contribute to a Solutions culture that combines strategic clarity, technical depth, and strong execution. - Develop and multiply senior DS impact - Coach Deployment Strategists on strategic problem-solving, executive communication, and delivery leadership. - Help teams raise the quality of their work on the highest-impact opportunities. - Identify capability gaps and contribute to hiring, staffing, and development priorities. - Act as a force multiplier across accounts, teams, and regions where your experience can have the highest leverage.     WHAT WE'RE LOOKING FOR   You are a senior, highly capable professional with strong executive presence, excellent business judgment, and a track record of leading complex strategic or transformation work. Typical indicators we’re looking for include: - 8 to 10+ years of professional experience in strategy consulting, digital transformation, AI, enterprise technology, or a similarly demanding environment. - Experience operating at Partner, Principal, Engagement Manager, Director, or equivalent level in a top-tier strategy consulting or transformation context. - A strong ability to structure ambiguous problems, identify value, and turn strategy into execution. - Experience leading large accounts, complex programs, or senior customer relationships. - The credibility to engage with executives and C-level stakeholders on business priorities, trade-offs, and impact. - Strong analytical and commercial judgment, with the ability to challenge assumptions constructively. - Comfort working at the frontier of technology, even when solutions are evolving quickly and the path is not fully defined. - A low-ego, high-ownership mindset and a desire to build with customers and teams, not just advise from a distance. - Fluency in English; German is a strong plus.   We are looking for adaptable, low-ego team players who are passionate about turning AI vision into reality and delivering transformative impact for our customers.   Hiring Process   • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview  • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Stockholm We're looking for a Senior AI Engineer to join our Data Center of Excellence ( CoE ) team at Betsson Group. You'll design, build, and deploy AI and agentic solutions with real business impact, from LLM-driven pipelines to intelligent automation, while helping shape our technical direction. If you're passionate about applied AI and enjoy turning emerging research into production-grade systems, we'd love to hear from you! The Wow You'll be at the forefront of AI innovation in iGaming - a space where cutting-edge technology meets real-time, high-stakes decision-making. As part of our Data CoE , you'll take ownership of complex AI initiatives end-to-end, from architecture to deployment, working closely with stakeholders to translate business needs into production-grade solutions. You'll have the autonomy to solve hard problems independently, the platform to influence how AI is adopted across the business, and the opportunity to share your expertise with the wider team. A taster of what you will be involved with: Expect to independently design, build, and deploy LLM-powered pipelines and autonomous agents that solve real operational challenges from intelligent automation to advanced retrieval systems. You'll work closely with stakeholders to scope and deliver solutions, get hands-on with frameworks like LangChain , and help set best practices around MLOps and production-grade AI. You'll also have opportunities to mentor developers and contribute to internal knowledge-sharing as part of a well-rounded senior role. What we are looking for: The ideal candidate must have the following: BSc/MSc in CS, AI/ML, Data Science, or related field 3+ years industry experience designing, building and deploying Generative AI solutions Strong proficiency in Python Hands-on experience with agentic frameworks (LangChain, LangGraph, Strands or equivalent) Solid foundations in deep learning and foundation models Experience integrating and orchestrating LLM-based pipelines end-to-end Ability to lead technical discussions, mentor junior/mid developers, and deliver internal knowledge sessions Familiarity with LLMOps (CI/CD pipelines, model hosting, evaluation, production monitoring) Good knowledge of RAG pipelines The following are preferred but not required : Familiarity with cloud AI services (AWS Bedrock, Azure Open AI) Experience with fine-tuning LLMs (LoRA, QLoRA) Experience in building advanced knowledge retrieval systems including Knowledge Graphs and Context Graphs Previous experience in iGaming industry What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Stockholm The Wow We’re looking for a hands-on AI Engineer to build best in class applications and solutions at Betsson Group. You’ll develop AI solutions and applications, context systems and AI Agents, maintain and enhance multiple AI system and products, research frontier models and collaborate with product and architecture teams to deliver high-performing services used by millions of players. This is an opportunity to work with bleeding edge technology, build world-class products. A taster of what you will be involved with: As an engineer, your focus will be on developing and maintain, modular and reusable systems, explore new technologies and find solutions to enhance our products. You’ll participate on design discussions, troubleshoot complex problems, and contribute directly to our codebase. You’ll also play a key part in building a collaborative, high-performing team culture. Whether reviewing code, or supporting other engineers and tech lead.. What we are looking for: Proven experience developing and delivering production ready AI Applications Strong technical background in Generative AI, LLMs and Prompt Engineering Experience building context systems using RAG, Vector Stores and MCP Experience on developing AI Agents using frameworks like LangGraph and LangChain Experience mentoring or leading engineers in a technical capacity What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Paris Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As the Enterprise Customer Success Leader, you are tasked with more than just facilitating the adoption of our technology. As a member of the broader Customer Success Leadership team, you will craft and execute a strategic vision for ensuring customers reach their desired outcomes, emphasizing scalability, process rigor, and the development of playbooks to fuel expansion and mitigate churn. Through empathetic leadership and a focus on value, you will spearhead efforts to enhance renewal and expansion rates, manage and develop talent, and drive forward customer relationships with proactive engagement. You will also play an integral part in helping to drive strategy and execution in how we deliver an end-to-end excellent customer experience. WHAT YOU'LL DO - Lead by Example: Lead a dynamic customer success team towards exceptional performance, promoting a culture of accountability, execution, growth, and relentless improvement. - Scalability and Process: Develop and implement strategic improvements to drive scalable strategies and playbooks, ensuring a systematic approach to all stages of the customer journey, including: implementation, adoption, value realization, retention, and expansion. - Talent Coaching and Development: Inspire and mentor your team, elevating their capabilities to become strategic partners through influencing and advising decision makers and fostering customer advocacy. - Advance Customer Relationships: Deepen client engagements through strategic interactions, serving as an advisor and advocate for key stakeholders, driving advocacy, organic growth, and referrals. - Own Retention: introduce processes and early warning systems to reduce churn, mitigate risk, and ensure we are multi-threaded within customer accounts. - Effective Collaboration: Work with leaders across the broader GTM organization, Product, and Engineering teams to deliver the voice-of-customer and drive a culture of customer-centricity. - Product Feedback: Ensure we develop a feedback flywheel, turning customer insights into meaningful product enhancements and service optimizations. WHAT YOU HAVE - Leadership Experience: You are a natural leader, with a proven background in leading high performing customer success teams within late-stage or post-IPO Enterprise SaaS organizations, with a specific emphasis on “Strategic”, “Large Enterprise / Enterprise”, and/or top-tier / lighthouse accounts with multi-million dollar spend. - Strategic Acumen: Expertise in designing and executing customer success strategies that foster adoption, reduce churn, and promote expansion. - Empathy and Influence: A leadership style characterized by empathy, with a proven track record in team development through hiring, coaching, and fostering talent. - Outcome-Oriented: Exceptional ability to drive results through owning strategic initiatives, KPI reporting, and adept at navigating complex customer scenarios. - Communication Mastery: Superior communication skills, capable of effectively engaging and influencing at all organizational levels both internally, and externally. - Agility: Capacity to excel in a rapidly expanding, dynamic setting and swiftly adjust to evolving requirements. - Innovation: A genuine passion for technology and innovation, constantly seeking novel solutions to complex challenges. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-JM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Munich Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As the Enterprise Customer Success Leader, you are tasked with more than just facilitating the adoption of our technology. As a member of the broader Customer Success Leadership team, you will craft and execute a strategic vision for ensuring customers reach their desired outcomes, emphasizing scalability, process rigor, and the development of playbooks to fuel expansion and mitigate churn. Through empathetic leadership and a focus on value, you will spearhead efforts to enhance renewal and expansion rates, manage and develop talent, and drive forward customer relationships with proactive engagement. You will also play an integral part in helping to drive strategy and execution in how we deliver an end-to-end excellent customer experience. WHAT YOU'LL DO - Lead by Example: Lead a dynamic customer success team towards exceptional performance, promoting a culture of accountability, execution, growth, and relentless improvement. - Scalability and Process: Develop and implement strategic improvements to drive scalable strategies and playbooks, ensuring a systematic approach to all stages of the customer journey, including: implementation, adoption, value realization, retention, and expansion. - Talent Coaching and Development: Inspire and mentor your team, elevating their capabilities to become strategic partners through influencing and advising decision makers and fostering customer advocacy. - Advance Customer Relationships: Deepen client engagements through strategic interactions, serving as an advisor and advocate for key stakeholders, driving advocacy, organic growth, and referrals. - Own Retention: introduce processes and early warning systems to reduce churn, mitigate risk, and ensure we are multi-threaded within customer accounts. - Effective Collaboration: Work with leaders across the broader GTM organization, Product, and Engineering teams to deliver the voice-of-customer and drive a culture of customer-centricity. - Product Feedback: Ensure we develop a feedback flywheel, turning customer insights into meaningful product enhancements and service optimizations. WHAT YOU HAVE - Leadership Experience: You are a natural leader, with a proven background in leading high performing customer success teams within late-stage or post-IPO Enterprise SaaS organizations, with a specific emphasis on “Strategic”, “Large Enterprise / Enterprise”, and/or top-tier / lighthouse accounts with multi-million dollar spend. - Strategic Acumen: Expertise in designing and executing customer success strategies that foster adoption, reduce churn, and promote expansion. - Empathy and Influence: A leadership style characterized by empathy, with a proven track record in team development through hiring, coaching, and fostering talent. - Outcome-Oriented: Exceptional ability to drive results through owning strategic initiatives, KPI reporting, and adept at navigating complex customer scenarios. - Communication Mastery: Superior communication skills, capable of effectively engaging and influencing at all organizational levels both internally, and externally. - Agility: Capacity to excel in a rapidly expanding, dynamic setting and swiftly adjust to evolving requirements. - Innovation: A genuine passion for technology and innovation, constantly seeking novel solutions to complex challenges. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-JM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: London; United Kingdom Workplace: Remote Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality. We're looking for Platform Engineers who treat the platform as a product, with every engineer at Attio as its customer. You'll own the infrastructure, tooling and pipelines that let the rest of engineering ship quickly and safely, and you'll be accountable for keeping all of it reliable, fast and cost-effective as we scale. WHAT YOU'LL DO - Build and evolve our platform infrastructure as code (Terraform, Kubernetes, GCP), so every environment is reproducible, version-controlled and auditable. - Own our CI/CD pipelines end-to-end, making builds, tests and deploys fast, reliable and secure for every engineer at Attio. - Own our observability stack - metrics, logging and distributed tracing - as the foundation of an exceptional reliability culture. - Define and hold SLOs for latency, availability and error rates, and manage capacity to stay comfortably inside them. - Lead incident response: triage and resolve complex production issues, then run blameless post-mortems and ship the fixes as code. - Partner with product engineering teams to remove manual toil and shorten the path from writing code to running it in production. WHAT YOU'LL BRING - Hands-on experience operating production systems with an SRE mindset: SLOs, error budgets, toil reduction and blameless post-mortems. - Excellent knowledge of modern cloud architectures (either GCP or AWS), including networking, IAM and managed services. - Demonstrable deep expertise with Docker and Kubernetes at scale, covering cluster design, networking, storage and security. - Proficiency in a modern language such as Typescript, Go, Python or Rust, and a track record of writing well-tested automation. - Experience owning mission-critical operational tooling, including centralised logging or APM (e.g. Datadog, Splunk). - Ability to communicate technical ideas to the wider team and influence how other engineers build and operate their services. WHAT WE OFFER - Competitive salary of £105,000 to £125,000 - Equity in an early-stage tech company on an incredible trajectory - 25 days holiday plus local public holidays - Apple hardware - Private medical insurance through AXA - Pension contribution through Hargreaves Lansdown - Enhanced family leave - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)

Location: Aarhus Office The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organisation that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimises data labelling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. As a Staff Software Engineer within Investigations, you'll be a driving force in a team of engineers, taking ownership of technical direction and sharing responsibility for providing the right tools and the right data to build best in class customer experiences. You'll lead the design, build and maintenance of new customer facing web-features as well as the APIs and services backing them. A key part of this role is partnering closely with product managers and designers, leveraging your deep understanding of the underlying data platform to deliver impactful, scalable solutions to our customers. In this role, you'll: - Lead the architecture, maintenance and development of serving cloud-native data ingest and aggregation processes that intake gigabytes of data per day - Drive the delivery of features across our product suite that detect activities for market manipulation, fraud, behavioural patterning, and more - Own and scale a high-performance services on AWS that handle thousands of requests per second - Lead the team's modernisation efforts towards a streaming architecture, setting technical direction and best practices - Own and drive the direction and enablement of our graphing platform, which is used across multiple products to drive and visualize understanding of our insights and data, both on and off the blockchains - Debug and resolve production issues across multiple systems and services, guiding the team through complex technical challenges - Mentor and grow engineers across the team, fostering a culture of technical excellence and collaboration We're looking for candidates who have: - Proven experience leading the design and implementation of cloud-native services-based systems in a major cloud provider like AWS or GCP - A strong track record of mentoring engineers, leading cross-team projects, and driving design and technology decisions at a senior or lead level - The ability to align technical execution with product and design partners, with a strong bias to ship and iterate - Deep experience with object-oriented programming languages; we mostly use Java and typescript but appreciate a variety of languages! - A strong technical background with extensive experience working directly on complex backend and/or frontend systems and projects, including in leadership or lead engineer roles - Great pride from taking ownership of product ideas from inception through to production - Good understanding of both frontend and backend best practices and paradigms. - Integrated AI impactfully in customer-facing products or engineering infrastructure You might also have: - Experience with AI-friendly and driven systems - Exposure to or interest in the cryptocurrency technology ecosystem - Terraform and Kubernetes knowledge Technologies we use: - Java (Spring Boot) - Typescript (React, Angular) - Kafka (Warpstream) - K8S - Terraform - PostgreSQL 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.

Location: Poland; Portugal; Ireland; Germany Workplace: Remote Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality. We're looking for Platform Engineers who treat the platform as a product, with every engineer at Attio as its customer. You'll own the infrastructure, tooling and pipelines that let the rest of engineering ship quickly and safely, and you'll be accountable for keeping all of it reliable, fast and cost-effective as we scale. WHAT YOU'LL DO - Build and evolve our platform infrastructure as code (Terraform, Kubernetes, GCP), so every environment is reproducible, version-controlled and auditable. - Own our CI/CD pipelines end-to-end, making builds, tests and deploys fast, reliable and secure for every engineer at Attio. - Own our observability stack - metrics, logging and distributed tracing - as the foundation of an exceptional reliability culture. - Define and hold SLOs for latency, availability and error rates, and manage capacity to stay comfortably inside them. - Lead incident response: triage and resolve complex production issues, then run blameless post-mortems and ship the fixes as code. - Partner with product engineering teams to remove manual toil and shorten the path from writing code to running it in production. WHAT YOU'LL BRING - Hands-on experience operating production systems with an SRE mindset: SLOs, error budgets, toil reduction and blameless post-mortems. - Excellent knowledge of modern cloud architectures (either GCP or AWS), including networking, IAM and managed services. - Demonstrable deep expertise with Docker and Kubernetes at scale, covering cluster design, networking, storage and security. - Proficiency in a modern language such as Typescript, Go, Python or Rust, and a track record of writing well-tested automation. - Experience owning mission-critical operational tooling, including centralised logging or APM (e.g. Datadog, Splunk). - Ability to communicate technical ideas to the wider team and influence how other engineers build and operate their services. WHAT WE OFFER - Competitive salary of €105,000 to €125,000 - Equity in an early-stage tech company on an incredible trajectory - Apple hardware - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far) - Location specific benefits   nb. We are open to candidates currently living in: Poland, Germany, Portugal, Ireland

Location: Aarhus Office The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organisation that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimises data labelling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. As a Senior Software Engineer within Investigations, you'll be a driving force in a team of engineers, taking ownership of technical direction and sharing responsibility for providing the right tools and the right data to build best in class customer experiences. You'll lead the design, build and maintenance of new customer facing web-features as well as the APIs and services backing them. A key part of this role is partnering closely with product managers and designers, leveraging your deep understanding of the underlying data platform to deliver impactful, scalable solutions to our customers. In this role, you'll: - Lead the architecture, maintenance and development of serving cloud-native data ingest and aggregation processes that intake gigabytes of data per day - Drive the delivery of features across our product suite that detect activities for market manipulation, fraud, behavioural patterning, and more - Own and scale a high-performance services on AWS that handle thousands of requests per second - Lead the team's modernisation efforts towards a streaming architecture, setting technical direction and best practices - Own and drive the direction and enablement of our graphing platform, which is used across multiple products to drive and visualise understanding of our insights and data, both on and off the blockchains - Debug and resolve production issues across multiple systems and services, guiding the team through complex technical challenges - Mentor and grow engineers across the team, fostering a culture of technical excellence and collaboration We're looking for candidates who have: - Proven experience leading the design and implementation of cloud-native services-based systems in a major cloud provider like AWS or GCP - A strong track record of mentoring engineers, leading cross-team projects, and driving design and technology decisions at a senior or lead level - The ability to align technical execution with product and design partners, with a strong bias to ship and iterate - Deep experience with object-oriented programming languages; we mostly use Java and typescript but appreciate a variety of languages! - A strong technical background with extensive experience working directly on complex backend and/or frontend systems and projects, including in leadership or lead engineer roles - Great pride from taking ownership of product ideas from inception through to production - Good understanding of both frontend and backend best practices and paradigms. - Integrated AI impactfully in customer-facing products or engineering infrastructure You might also have: - Experience with AI-friendly and driven systems - Exposure to or interest in the cryptocurrency technology ecosystem - Terraform and Kubernetes knowledge Technologies we use: - Java (Spring Boot) - Typescript (React, Angular) - Kafka (Warpstream) - K8S - Terraform - PostgreSQL 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.

Location: London; United Kingdom Workplace: Hybrid Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality. We're looking for Platform Engineers who treat the platform as a product, with every engineer at Attio as its customer. You'll own the infrastructure, tooling and pipelines that let the rest of engineering ship quickly and safely, and you'll be accountable for keeping all of it reliable, fast and cost-effective as we scale. WHAT YOU'LL DO - Build and evolve our platform infrastructure as code (Terraform, Kubernetes, GCP), so every environment is reproducible, version-controlled and auditable. - Own our CI/CD pipelines end-to-end, making builds, tests and deploys fast, reliable and secure for every engineer at Attio. - Own our observability stack - metrics, logging and distributed tracing - as the foundation of an exceptional reliability culture. - Define and hold SLOs for latency, availability and error rates, and manage capacity to stay comfortably inside them. - Lead incident response: triage and resolve complex production issues, then run blameless post-mortems and ship the fixes as code. - Partner with product engineering teams to remove manual toil and shorten the path from writing code to running it in production. WHAT YOU'LL BRING - Hands-on experience operating production systems with an SRE mindset: SLOs, error budgets, toil reduction and blameless post-mortems. - Excellent knowledge of modern cloud architectures (either GCP or AWS), including networking, IAM and managed services. - Demonstrable deep expertise with Docker and Kubernetes at scale, covering cluster design, networking, storage and security. - Proficiency in a modern language such as Typescript, Go, Python or Rust, and a track record of writing well-tested automation. - Experience owning mission-critical operational tooling, including centralised logging or APM (e.g. Datadog, Splunk). - Ability to communicate technical ideas to the wider team and influence how other engineers build and operate their services. WHAT WE OFFER - Competitive salary of £105,000 to £125,000 - Equity in an early-stage tech company on an incredible trajectory - 25 days holiday plus local public holidays - Apple hardware - Private medical insurance through AXA - Pension contribution through Hargreaves Lansdown - Enhanced family leave - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)

Location: London Workplace: OnSite ABOUT APTURA AI We work with frontier AI labs and companies across healthcare, finance, and legal providing the specialist knowledge and human oversight that makes AI models more accurate and reliable in these highly regulated domains. In healthcare, we specialise in sourcing clinicians experts and annotating medical data at scale that is used to train the models such as labelling and reviewing consultation notes, medical images or pathology reports. The projects we manage tend to sit at the heart of how AI learns to understand real clinical interactions from consultations, workflows, and the delivery of care that directly affects both clinicians and patients. Projects we have been involved in, include SNOMED Medical Coding for Medical Device Registration, AI powered MDT platforms and AI-assisted Clinical Trials Recruitment. We're a lean, in-person team based in London. We move quickly, hold ourselves to a high standard, and expect every individual to contribute directly. ABOUT THE ROLE As a second hire in the healthcare team it comes with a lot of responsibility and growth opportunities. The role involves staying up to date with the latest published literature for AI in healthcare. You will play a key role in designing and publishing benchmarks in collaboration with stakeholders. It also involves being a part of initial customer conversations and sourcing the right clinician. This role carries breadth and real ownership from day one with the unique opportunity to work directly with some of the world’s leading AI labs. You will work directly with the Head of Healthcare, Dr Abdul Rahyead (former NHS doctor and ex-founder). KEY RESPONSIBILITIES - Research: Staying up to date with academic literature, designing benchmarks and publishing research, building relationships with researchers and industry partners - Community Building: Growing the healthcare expert network, handling onboarding, maintaining timely communications and payouts for experts. Exploring creative ways to engage more clinicians through hackathons, platforms and IRL events - Business Development: Support commercial and partnership activities, including setting up GTM motions and outreach initiatives ESSENTIAL REQUIREMENTS - Qualified medical doctor with a minimum of 1 year clinical experience - Strong organisation skills with the ability to manage multiple projects at the same time and competing priorities - Ability to context-switch between clinicians, customers, projects and operational responsibilities without losing pace or attention to details - A proactive, self-directed working style, comfortable operating in an environment where the processes are still being defined and the playbook is being written in real-time - Strong research skills, able to critically appraise academic papers and publish benchmarks DESIRABLE ATTRIBUTES - Previously worked in industry or a startup, scale-up or similarly high-paced setting - Familiarity with data annotation/labelling, designing and developing evals for AI models - Track record of publishing research and working with academic institutions - Experience in a client-facing, commercial or business development role

Location: Riga, Latvia Workplace: hybrid About the Client Our client is a financial technology company offering a mobile banking platform specifically designed for the Latino community in the United States and Latin America. Established in 2023 and headquartered in California, the company provides banking services that include dual bank accounts and corresponding cards for users in the U.S. and their families in Mexico, with plans to expand across Central and South America. Their service model facilitates seamless international remittances, eliminating traditional fees associated with money transfers. Role Overview This is a unique opportunity to manage and develop relationships with a portfolio of existing B2B merchants. You will play a crucial role in analyzing payment data, optimizing payment performance, and identifying growth opportunities. This position offers the chance to work in a hybrid environment with a focus on innovation in the fintech landscape. Key Responsibilities Manage a portfolio of existing B2B merchants, building strong client relationships, maintaining high satisfaction levels, and supporting long-term retention. Monitor key payment performance metrics, including approval rates, conversion rates, and transaction volumes, while identifying trends, risks, and potential areas for improvement. Analyse transaction data and provide recommendations on payment methods, target geographies, and technical configurations to optimise payment performance. Identify and drive upsell and cross-sell opportunities by introducing additional payment methods, expanding into new markets, or offering relevant company products and solutions. Work closely with internal teams to ensure smooth integrations, efficient support, and the successful implementation of client-specific payment solutions. Conduct regular business reviews with key clients to discuss performance, address challenges, identify growth opportunities, and strengthen partnerships. Requirements 2+ years of experience in Account Management, Key Account Management, Business Development, Customer Success, or a similar client-facing role. Strong experience in fintech, payments, acquiring, PSP, or related financial technology environments. Good understanding of the merchant lifecycle, payment flows, and key transaction performance metrics. Fluent Russian and strong English (B2+/C1), with the ability to communicate effectively with international clients and internal stakeholders. Experience working with CRM systems and analytics tools to monitor, analyse, and report on account performance. Proven ability to manage complex client relationships and develop tailored payment solutions based on clients’ business needs. Languages: English, Russian. Experience in fintech. Key Soft Skills Strong organisational skills and ability to manage multiple accounts simultaneously. Proactive and results-oriented mindset focused on revenue growth. Ability to prioritise tasks in a fast-moving environment. Excellent communication and interpersonal skills. Analytical thinking with a focus on problem-solving. What We Offer Competitive salary aligned with experience Collaborative and transparent team culture High-impact role in a scaling fintech company Recognition of personal milestones and achievements Social benefits

Location: Saudi Arabia (remote); United Arab Emirates (remote) Workplace: Remote ABOUT THE OPPORTUNITY We are seeking experienced professionals in Finance and Financial Services to contribute to a cutting-edge AI benchmarking project in the target language. As a Subject Matter Expert, you will create and review high-quality, real-world financial scenarios that evaluate AI systems in language-specific contexts. Your expertise will directly shape how AI understands and performs in language-compliant financial environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in the target language reflecting local finance practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Finance or Financial Services (e.g., structuring, compliance, audit, risk, investment analysis) - Strong knowledge of the target locale financial products and frameworks - Familiarity with the target locale regulatory environments (e.g., central banks, capital market authorities, tax/zakat frameworks) - Ability to write and evaluate professional-grade financial content in target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. What to Consider Before Applying - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking an experienced Security Engineering Lead to join the Cyber Security organization, reporting to the Corporate Security Engineering Manager under the CISO. This is a senior technical lead role focusing on engineering and execution without direct people management responsibilities. This role combines hands-on security engineering to deliver end-to-end protection across corporate, cloud, and SaaS environments. You will not only define strategy and standards - you will build, configure, tune, and operate the technical controls that enforce them. You will be responsible for implementing, managing, integrating and maintaining security systems across the organization’s IT landscape. The role requires deep technical proficiency in multiple platforms and tools, combined with the ability to collaborate with Security, IT, Engineering, Product, GRC and other business units to reduce risks and embed strong security practices. Your responsibilities will include: Engineer, deploy, and continuously tune systems such as Identity & Access, Threat Detection & Response, Cloud & Network Security. Define, enforce and maintain security policies & configurations across endpoints, email, SaaS, network, and cloud platforms. Design and implement solutions to gain continuous visibility into systems and processes, sensitive data, data flows, misconfigurations, and exposure risks across cloud and multi-cloud environments. Monitor, triage, and investigate security alerts and risks, collaborating with Security, IT, Network teams on escalation and remediation. Conduct risk assessments and identify gaps in security controls across systems, pipelines, and business processes. Support compliance and regulatory requirements (e.g., GDPR, ISO 27001, SOC 2) related to security and privacy. Collaborate with Engineering, IT, Product, and GRC teams to embed security controls into systems, and workflows. Maintain documentation, runbooks, and guidelines for operations, security posture management, and security practices. We expect you to have: 6+ years of experience in IT security, with a strong focus on System, Network, Information, Cyber. With at least 3 years in a Security Engineering role. Proven hands-on engineering experience with enterprise security platforms - including policy authoring, tuning, incident workflow configuration, and platform administration. Experience securing data across cloud environments and SaaS platforms, including shadow IT and unmanaged data stores. Strong understanding of identity and access management and data access governance principles. Experience working cross-functionally with Security, IT, Engineering, Product, and GRC teams. Strong analytical mindset with the ability to communicate security risks clearly to technical and non-technical stakeholders. Excellent written and verbal communication skills in English. Proactive, detail-oriented, and ownership-driven. Hand-on experience with multiple technologies such as: XDR (Extended Detection & Response), SWG (Secure Web Gateway), DLP (Data Leakage Prevention), Email Security, Network security (Firewalls, NAC, NDR), IGA (Identity Governance & Administration), CASB (Cloud Access Security Broker), PAM (Privileged Access Management), EPM (Endpoint Privilege Management), BAS (Breach & Attack Simulation), Vulnerability Scanners, SIEM (Security Information & Event Management), SOAR (Security Orchestration, Automation & Response), CTI (Cyber Threat Intelligence), Patch Management, TPRM (Third-Party Risk Management), EASM (External Attack Surface Management). It will be an added bonus if you have: Experience building or scaling a security program from the ground up in a growing organization. Experience with cloud-native security services (AWS, Azure, Google). Knowledge of privacy and regulatory frameworks (GDPR, ISO 27001, SOC 2). Scripting or automation skills (Python, PowerShell). Relevant certifications such as CISSP, CISM. BSc in Computer Science, Information Security, or a related field. Project & people management experience. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Hardware Test Engineer to own the test methodology for HMND‑01’s hardware components, robot subsystems, and complete humanoid robots. You will be the engineer who decides what “good” looks like — from a single actuator on the bench to a full robot walking through an integration sequence. This is a hands-on, technical leadership role. You will design test methods, run them yourself on early prototypes, and partner closely with the test automation team, Manufacturing Engineering, Production Operations, and Supply Chain Quality as we move from EVT toward production. You’ll be the hardware voice that shapes what gets measured on the line, at what tolerance, and why — without owning the QC routine or rig build, which sit with Production Ops Quality and Manufacturing Engineering respectively. KEY RESPONSIBILITIES 1. TEST METHOD DEFINITION - Component-Level Methods: Define functional, performance, and stress tests for individual hardware components — actuators, sensors, electronics, structural parts — including pass/fail criteria and required data capture. - Subsystem Testing: Design integration tests for major robot subsystems (arms, hands, legs, torso, head) covering kinematic accuracy, repeatability, load behavior, and thermal response. - Whole-Robot Testing: Define and execute system-level tests for full robot assemblies, including end-to-end motion sequences, balance, manipulation tasks, and failure-mode behavior. 2. HANDS-ON TEST EXECUTION - Prototype Bring-up: Be the first engineer to put hands on each new hardware revision, characterizing performance against design intent and feeding findings back to the design team. - Failure Analysis: Investigate failures during testing, work with hardware engineers to root-cause issues, and verify fixes. - Test Documentation: Capture methods, results, and learnings in a way that the rest of the organization can repeat and trust. 3. AUTOMATION SUPPORT - Test Automation Inputs: Translate manual test methods into specifications for the automation team. Decide which tests can be automated and which must remain manual, and why. - Tooling: Specify and prototype custom test fixtures, jigs, and instrumentation needed to execute your methods reliably during prototype and bring-up work. - Data: Define what each test must capture so that automated runs produce results comparable to your manual baseline. 4. PRODUCTION TEST — IN PARTNERSHIP WITH MANUFACTURING ENGINEERING AND PRODUCTION OPS - Requirements for Line Rigs & Jigs: Provide the technical requirements for production test jigs, fixtures, and test beds — what they measure, at what tolerance, what data they need to capture, and the pass/fail criteria. Manufacturing Engineering owns rig design, build, and commissioning; you review designs and sign off on whether they actually verify what they’re meant to verify. - In-Process Verification: Define the checks at each stage of assembly that confirm components and sub-assemblies have been built correctly before they move to the next station, including required measurements and rework paths for failures. - Test Evidence & Traceability: Define what each production test must capture so that results, measurements, and pass/fail outcomes are written to the production database, linked to the serial number of the unit under test — every shipped robot has a complete and queryable build and test history. - System-Level Acceptance: Define final-product acceptance tests — performance envelopes, functional gates, and sign-off criteria for a robot leaving the line. 5. QUALITY & DESIGN FEEDBACK LOOP — IN PARTNERSHIP WITH SUPPLY CHAIN QUALITY AND PRODUCTION OPS QUALITY - Component Performance Characteristics: Define the system-level performance characteristics that incoming parts must meet. Supply Chain Quality translates these into incoming inspection criteria and supplier qualification plans, and runs the inspection process. - Root-Cause Partnership: Partner with Production Ops Quality on root-cause analysis when line failures trace back to component behavior or system design, and feed findings back into engineering. - Closed Loop with Design: Treat test data as a closed loop with design — surface trends from production into design reviews so the product gets better, not just the process. QUALIFICATIONS Must-Have: - Experience: 5+ years in hardware test engineering, with hands-on testing of complex electromechanical systems — robotics, automotive, aerospace, or similar. - Test Methodology: Strong grasp of test theory, test design, and pass/fail criteria definition. You can write a test spec that another engineer can execute without follow-up questions. - Mechanical: Solid understanding of mechanical design principles, common core components (gears, bearings, actuators), measurement tools (calipers, micrometers, load cells, encoders), and technical drawings including GD&T basics. - Electrical: Comfortable reading schematics, using a multimeter and oscilloscope, and reasoning about basic power and signal integrity. - Production Fluency: Familiarity with hardware production operations — flow, takt, work instructions, traveler documentation — enough to collaborate effectively with Manufacturing Engineering and Production Ops without trying to own their work. - Tooling: Experience with test and task tracking systems (Jira, X-Ray, TestRail, or similar). - Matrix Operating Style: Comfortable influencing test stations, rigs, and equipment design through clear requirements and tight partnership, not through ownership. - Mindset: Systems thinking — you naturally see how a problem at the component level can manifest as a behavior at the full-robot level. Nice-to-Have: - Robotics experience, especially with serial-link manipulators or legged systems. - Hands-on test rig and fixture design experience (mechanical and/or electrical) — useful for speaking the same language as Manufacturing Engineering on rig requirements. - Python (or similar) for ad-hoc data analysis and lightweight test automation. - CAD (SolidWorks/Fusion/NX) for sketching test fixtures. - Familiarity with ROS2. - Experience with embedded systems and field buses such as CAN or EtherCAT. - Experience with industrial automation equipment (servos, gateways, sensors, PLCs). - Knowledge of statistical quality control fundamentals (SPC, MSA) — for working effectively with Quality on test data interpretation. WHAT YOU'LL BE TESTING - Actuators (motors, gearboxes, encoders, drivers) - Robot manipulators and end-effectors - Legged subsystems and balance behaviors - Power and battery systems - Full humanoid robot assemblies WHAT WE OFFER - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support. - Equity included–we believe builders should share in what they build. - Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: San Francisco Bay Area, California; New York City Metropolitan Area Workplace: remote About the role: Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. We embed engineers and leaders inside client operations as Forward Deployed Engineers (FDE) and Forward Deployed Executives (FDX) — people who learn the work, ship the system, and own the outcome. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Bluprints. You will do the customer’s job before you automate it. Most AI engagements fail the same way: someone gathers requirements, someone writes a PRD, and a team ships a workflow nobody uses. We think the requirements-gathering step is the bug. So we remove it. A Forward Deployed AI Engineer at Provectus spends the first weeks of an engagement in the operator’s seat — as the underwriter, the analyst, the RCM specialist, the claims clinician, whoever actually does the work we’ve been asked to change. You do the job. You learn the constraints from the inside, the ones nobody writes down. Then you sit at a table with that operator and a Forward Deployed Executive and rebuild the function from first principles — and you are the one who builds it. Three things define how you work: Embedded, not engaged . You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Real tasks, not scope . You are not fenced into a siloed deliverable. You go where the operating problem is. Autonomous . Embedded is not staff-augmented. You own the method; nobody hands you a ticket. You won’t start from zero. Provectus builds industry blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. That loop is the difference between an outcome and an invoice. You’ll be measured on whether the Business Unit’s number moved — not on hours, not on scope delivered. This is a role for engineers who have led before — as a founder, a CTO, a staff engineer — and who want to stay in the code while owning the outcome. On most days you’ll be the most senior technical person in the room, and you’ll still be the one shipping. Requirements: 8+ years building software , a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. You will take the operator’s seat. You are genuinely willing to spend weeks doing someone else’s job — claims processing, underwriting, revenue-cycle work — before you write a line of code. Engineers who need to stay in the IDE should not apply. You learn domains fast. Demonstrated ability to become conversant in an unfamiliar business function quickly enough to argue with the people who do it for a living. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus): containers, Kubernetes/ECS, IaC, CI/CD, and the operational reality of a system someone else inherits. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Solid AI/ML foundations — you understand what the models do well enough to reason about failure modes, not just call the API. Strong hands-on prodcution experience with Claude Code/Cowork. Fluent English, written and spoken. Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution. Real depth in one of our blueprint industries: financial services, insurance, healthcare, asset management . Consulting, professional services, or other embedded customer-facing delivery. Data platform depth: data lakes, warehouses, streaming and real-time analytics, data mesh and data contracts, governance and data quality. MLOps and classical ML: PyTorch, SageMaker, MLflow. Fine-tuning, distillation, or inference/serving optimization. Graph databases (Neo4j, AWS Neptune). IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Take the seat Do the operator’s job for two to four weeks at the start of an engagement. Learn the function from inside, not from a requirements doc. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow — in weeks, not quarters. Sit with the operator and the Forward Deployed Executive and redesign the function from first principles. Discovery, user research, and PRD-writing collapse into one team that re-imagines its own job. You are all three roles. Build Ship production GenAI systems into the customer’s environment — LLM applications, agentic workflows, retrieval and structured-extraction pipelines, and the services around them. Running software, not recommendations. Build the evaluation harness before you build the feature. When the engagement is bound to a business KPI, “it looked good in testing” is not an answer. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — backend services, data pipelines, and the AI layer. Python and TypeScript are our centre of gravity; we choose tools to fit the customer, not the résumé. Take systems to production on AWS (GCP/Azure where the customer requires it): containerized, observable, and maintainable after we leave. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Own the outcome Work in a pair with a Forward Deployed Executive who carries the Business Unit’s KPIs. Your work is measured against the same number. Drive adoption. A system the BU routes around has not shipped. Change management is part of the engineering job here, not a phase after it. Be credible with the customer’s engineers, their operators, and their executives — and be willing to disagree with all three. Shape what we commit to before we commit to it. You’ll have the standing to do it, because you’re the one who will build it. What We Offer: Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare The chance to shape how leading enterprises adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. OTE range: up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. How we hire: Intro conversation — the role, your background, what you want to be doing. Two live engineering sessions. Real problems, your own editor. You may use an LLM assistant (ChatGPT, Claude) — how you work now includes these tools. Autocomplete/agentic coding tools are off for these sessions. The redesign session. We hand you an unfamiliar business function and the constraints of the person who performs it. You have to understand the job well enough to rebuild it — then say what you’d build and how you’d know it worked. No LLMs for this one. Team and practice conversation.