Global Relationship Manager Jobs

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role We’re looking for an experienced program manager to reinvent our highest-impact employee experience programs. You’ll start by redesigning New Hire Onboarding as a fully immersive experience from Day 1 and continue shaping key moments throughout the employee lifecycle. In everything you do, you’ll obsess over helping Notinos connect more deeply to Notion’s mission, product, customers, and the future we’re building together. This role reports to the Global Head of Notino Experience and is based in San Francisco, CA. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve Build the Onboarding Operating System: Create an end-to-end onboarding experience that’s undeniably Notion, with an AI-powered OS that makes a global process feel deeply personal. Make Day 1 unmistakable: Redesign New Hire Onboarding so every Newtino (new hire) leaves Day 1 thinking “I made the best decision of my career joining Notion,” with a clear connection to

Managing Principal / Director – Cyber & Operational Resilience Location: London (Hybrid) | Practice Area: Finance, Risk, Regulatory & Financial Crime | Type: Permanent Lead large-scale cyber and operational resilience transformation across the financial services industry The Role Capco is seeking experienced Managing Principals / Directors to join our Cyber & Operational Resilience capability. In this senior leadership role, you'll act as a strategic advisor and delivery lead, partnering with leading financial institutions to design and implement end-to-end resilience solutions. You'll play a critical role in shaping client strategy, leading complex transformation programmes, and driving growth across our Risk practice. You'll also champion AI-enabled ways of working, helping clients and teams responsibly adopt approved AI tools, automation, and data-driven insights to strengthen resilience, improve decision-making, and accelerate delivery while maintaining appropriate governance and human oversight. What You'll Do Lead large-scale cyber and operational resilience programmes, including regulatory alignment with PRA, DORA, and global resilience frameworks, identifying opportunities to leverage AI-enabled workflows and automation to enhance client outcomes. Oversee resilience assessments across operational and technology landscapes, including third-party and vendor risk, using AI-enabled analytics where appropriate to strengthen risk identification, resilience, and decision-making. Define and implement resilience frameworks, governance models, controls, and reporting mechanisms, ensuring robust governance, validation, and responsible AI practices where AI-supported capabilities are adopted. Drive cyber resilience strategy, including cyber posture assessments, security architecture, cloud security initiatives, and the responsible application of AI to improve resilience capabilities. Lead business development, proposition creation, and strategic client growt

Principal Consultant – Cyber & Operational Resilience Location: London (Hybrid) | Practice Area: Finance, Risk, Regulatory & Financial Crime | Type: Permanent Strengthen cyber resilience and safeguard critical operations across financial services The Role Capco is seeking experienced Principal Consultants to join our Cyber & Operational Resilience capability within the Finance, Risk, Regulatory & Financial Crime (FRRF) practice. You'll work with senior stakeholders across financial services organisations to design and deliver cyber resilience strategies, implement robust resilience frameworks, and enhance operational resilience capabilities. This role combines strategic advisory with hands-on delivery, helping clients strengthen cyber risk management, meet evolving regulatory expectations, and build resilient operating models. You'll also leverage approved AI tools and AI-enabled ways of working to enhance analysis, improve delivery, and generate data-driven insights while applying responsible AI practices and appropriate human oversight. What You'll Do Deliver cyber and operational resilience transformation programmes aligned to regulatory frameworks such as PRA, DORA, and other global resilience standards, identifying opportunities to leverage AI-enabled workflows and automation. Assess and enhance cyber resilience capabilities, including resilience frameworks, operating models, controls, and governance, using AI-enabled analysis where appropriate to strengthen decision-making and operational effectiveness. Support third-party and vendor risk assessments, identifying vulnerabilities across supply chains and technology ecosystems while combining AI-enabled insights with expert judgement. Design and implement resilience governance, Important Business Services (IBS), Impact Tolerance (ITOL), scenario testing, and reporting frameworks, ensuring robust governance, validation, and oversight where AI-assisted tools are utilised. Collaborate with technolog

Data Analytics – Senior Consultant Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Unlock insights. Empower decisions. Shape the future of financial services. The Role We're expanding our UK Data Practice and looking for talented Data Analytics Consultants to join our award-winning team. You'll lead cutting-edge data transformation programmes for top-tier Financial Services institutions, helping clients unlock value, improve operational efficiency and gain a competitive advantage through data-driven decision-making. You'll also embrace AI-enabled ways of working, using approved AI tools where appropriate to enhance analysis, accelerate delivery and improve the quality of client outcomes while applying sound judgement and responsible AI practices. What You'll Do Lead and deliver complex data analytics initiatives across major Financial Services clients, translating data into meaningful business insights and measurable outcomes. Apply predictive modelling, segmentation and risk analytics to solve client challenges, leveraging AI-enabled analytical techniques where appropriate to accelerate insight generation and support better decision-making. Design and develop dashboards using Power BI, Qlik or Tableau, delivering intuitive visualisations that enable business stakeholders to act with confidence. Interpret large, complex datasets and provide actionable recommendations through advanced analytical techniques, combining technical expertise with critical thinking and human judgement. Support the growth of Capco's UK and Global Data Practice by contributing to innovation across analytics, AI and machine learning, sharing knowledge and encouraging modern, AI-enabled delivery approaches. What We're Looking For Strong ability to acquire, manipulate, analyse and interpret large volumes of complex data to solve business problems. Experience delivering predictive and diagnostic analytics across areas such as customer lifetime value, risk scorin

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: We are seeking a Senior Deal Desk Analyst to join the Deal Desk team within our Revenue Operations function. This is a high-impact, high-visibility role at the center of how we structure, price, and close business globally — partnering with Sales, Finance, Legal, and Product to turn deals into signed revenue. You will lead the quote-to-contract execution cycle for our global sales team while helping build the systems, processes, and playbooks that scale a world-class Deal Desk. As the organization continues through a period of rapid growth, we are looking for someone who wants to shape the function rather than inherit it — bringing structure to ambiguity, modernizing how deals get done, and raising the bar for commercial excellence. This position reports to the Senior Manager, Global Deal Desk, and is preferably based in a hybrid capacity out of our San Francisco headquarters, working standard US business hours. What you will do Deal Management — Own the day-to-day deal review and closing process end to end, including deal approvals, deal structuring, and quote configuration within Vercel CPQ, ensuring every deal is executed accurately and on time. Commercialization & Execution — Drive deal execution in close partnership with Finance, Legal, GTM, Partnerships, Product, and Pricing. Design, build, and continuously optimize the sales and deal processes that bring new pricing, packaging, and product launches to market. Trusted Advisor — Serve as the subject-matter expert for the Sales organization, providing deal guidance and oper

About the job Build the test systems that help deliver AI hardware at production scale. As a Staff Hardware System Test Engineer, you'll develop manufacturing test solutions for complex compute systems. Your work will help ensure products reach customers with the quality and reliability expected from Graphcore. You'll shape how hardware is tested across Host Processor Modules, server blades, and multi-node racks. The tools, test content, and diagnostics you create will directly influence manufacturing efficiency and product quality. You'll develop test software, design test approaches, and solve challenging hardware issues. You'll work closely with hardware, firmware, software, and manufacturing teams to improve test coverage and diagnose problems quickly. This role offers broad technical scope across silicon, boards, systems, software, and manufacturing. You'll have the opportunity to influence engineering decisions and raise technical standards across the organisation. The team and culture The Product Test and Diagnosis team owns the strategy for finding and diagnosing hardware defects throughout the product lifecycle. The team works across silicon, boards, servers, and rack-scale systems. Day to day, engineers work closely with design, firmware, software, quality, and manufacturing teams. Problems are solved through data, technical debate, and hands-on investigation. You'll join a global engineering group spanning the UK, Taiwan, India, and the United States. People are trusted to take ownership, make decisions, and drive improvements that deliver measurable results. What we're looking for Essential: Significant experience developing and deploying manufacturing test solutions for high-performance servers, accelerators (GPU-class), or comparable large-scale compute hardware. Strong technical leadership as an individual contributor, with experience owning substantial technical workstreams and collab

Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: Masters or Phd in Computer Science or eq

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Scale's internship is not a side project. Interns own real, shipped work on the same roadmaps as full-time engineers, with mentorship from world-class talent and a culture that values ownership, speed, and truth-seeking. Many of our interns return as full-time Scaliens. Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI Example Projects: Build reinforcement learning and post-training data pipelines that power frontier model development Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy Ship tools that accelerate the growth of new qualified contributors on Scale's platform Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing bi

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. As a Senior Chiplet Physical Design Engineer at Tenstorrent, you will work on a high-profile, cutting-edge program designing and integrating multiple chiplets into a System-in-Package (SiP). You’ll collaborate closely with Tenstorrent experts and leaders across the USA, Japan, and other global sites, as well as external partners, to deliver world-class CPU and AI silicon. In this role, you will own critical aspects of synthesis and place-and-route for high-speed CPU core designs, contributing directly to performance, power, and area outcomes on advanced process nodes. This role is remote, based out of The United States. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are An experienced physical design engineer with at least 10 years of relevant experience, who thrives in complex, multi-stakeholder projects. Detail-driven, with a strong sense of ownership from synthesis through design closure. Comfortable working at advanced nodes (3nm and below) and multi-GHz designs. A collaborative team player who enjoys mentoring others and influencing methodology. Clear communicator who can balance technical depth with schedule and resource constraints. &nbsp

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Scale's internship is not a side project. Interns own real, shipped work on the same roadmaps as full-time engineers, with mentorship from world-class talent and a culture that values ownership, speed, and truth-seeking. Many of our interns return as full-time Scaliens. Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI Example Projects: Build reinforcement learning and post-training data pipelines that power frontier model development Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy Ship tools that accelerate the growth of new qualified contributors on Scale's platform Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing bi

A Career with Point72's Facilities Team The Facilities team at Point72 delivers a high level of corporate services to our offices around the globe, including real estate, property management, construction project management, day-to-day operations, maintenance, and security. WHAT YOU'LL DO Provide day-to-day on-site AV support for meeting rooms, conference spaces, and events in the Hong Kong headquarters. Deliver remote and coordinated on-site AV support across APAC offices, including India, Tokyo, Singapore, and Sydney. Troubleshoot AV issues related to video conferencing, audio, displays, room control systems, and live meeting/event support. Perform routine AV health checks, preventive maintenance, basic configuration, and coordinate repairs or upgrades with vendors/internal teams. Provide first-line IWMS support, including room booking, desk management, workplace services, and day-to-day user assistance. Support IWMS user onboarding, training, testing, deployments, upgrades, and enhancement requests across APAC. Monitor IWMS system performance and data accuracy, ensuring configurations align with physical workplace layouts. Act as the primary APAC point of contact for AV and IWMS solutions, based in Hong Kong. Promote global standards, best practices, and consistent user experiences across APAC offices. Gather and communicate APAC feedback and requirements to global teams and represent the region in global AV/IWMS initiatives. WHAT'S REQUIRED Experience providing AV support in a corporate or enterprise environment. Knowledge of Poly video conferencing platforms incl. Microsoft Teams, Zoom etc. and enterprise AV systems. Experience supporting an IWMS or similar workplace technology platform. Strong troubleshooting skills and a service-oriented mindset. Clear, professional communication skills with the ability to support senior stakeholders. Ability to work independently and collaboratively across regions. Willingness to provide on-site support and occasional

ROLE/RESPONSIBILTIES: We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source models fine-tuning and deployment, etc. Responsibilities include: Exploring and combining rich internal and external textual datasets Building GenAI solutions, leveraging both internal models and external APIs Formulating research hypothesis to derive alpha Post-training models for specific tasks Benchmarking LLM approaches internal tasks We believe the investment world offers unique opportunities to use modern NLP methods. We are a team ideally situated for that, having access to both internal and commercial datasets, with an end-to-end research philosophy and direct portfolio impact. REQUIREMENTS: Bachelor, Master’s or PhD graduate or candidate in computer science or another quantitative discipline Experience in NLP, particularly LLMs. Proficient in Python, SQL and general software engineering principles (github, testing, etc.) Data science stack familiarity Interest in financial markets Collaborative mindset ABOUT POINT72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE The candidate will be responsible for some or all of parts of the research pipeline—including data processing, feature design, model training, portfolio construction and management, back-testing, and performance analysis. Successful researchers combine statistical analysis, machine learning techniques, intense passion, and curiosity to decipher the market, and aspire to gain great intellectual understanding and financial outperformance. RESPONSIBILITIES Finding alphas in global equity markets by applying rigorous statistical analysis on technical data or alternative data sets. Performing hypotheses testing, feature design, and backtesting to improve on alpha ideas. Maintaining and improving the research pipeline, including alpha generation, portfolio construction, back-testing, and monetization. Maintaining and improving portfolio trading in production environments. REQUIREMENTS Bachelors degree or higher in mathematics, statistics, computer science, or other quantitative discipline. 2+ years of experience in quantitative research. Experience in medium frequency equity research is a plus. Strong analytical and quantitative skills; solid knowledge in statistics, linear algebra, or machine learning. Proficiency in Python. Familiarity with scientific toolkits, such as Numpy and Pandas. Ability to work both independently and collaboratively within a team. Commitment to the highest ethical standards.

ROLE/RESPONSIBILTIES: We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing. The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading. Responsibilities may include: Using NLP to construct features from varied datasets Formulating research hypotheses to derive alpha Building and testing the performance of trading signals based on NLP and financial features Launching identified signals into production REQUIREMENTS: Bachelor’s, Master’s or PhD candidate in computer science or other quantitative discipline Proficient in Python and general software engineering principles (github, testing, dev workflow) Strong understanding of machine learning and statistics Prior research experience preferred Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred Data science stack familiarity preferred An interest in financial markets Great attitude A collaborative mindset Commitment to the highest ethical standards ABOUT POINT72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

JOB DESCRIPTION Point72 Asset Management is seeking a Quantitative Analyst to join its Portfolio Construction & Analytics Team (PCAT) in the Office of the CIO. PCAT’s mandate is to study all drivers of success for Long/Short Equities investment professionals using data, analytics, and models of investor behavior and the market. These analyses are shared with portfolio managers to improve their strategies and with senior management to better allocate capital across investment teams. The ideal candidate is a highly analytical and creative problem-solver who can conduct independent research, work effectively as part of a team, and effectively summarize and communicate findings. RESPONSIBILITES Conduct bottoms-up analysis on the firm’s portfolios to identify strengths and weaknesses in idea generation, trading, and construction Form top-down views on which strategies offer the best risk/reward for the firm Invent new analytics to quantify skill and frameworks to support trade-offs between different sources of skill and risk Quantify market drivers to support pre-trade risk taking and decision making Communicate key findings to the team, PMs, and Co-CIOs Learn to develop in and contribute back to shared code base, reports, and research tools DESIRABLE CANDIDATES 2 or more years of experience in a quantitative research, portfolio management, or risk management role dealing with equities or equities investments Undergraduate, MS or Ph.D. in Finance, Computer Science, Mathematics, Engineering, or Physics, or other quantitative discipline Experience with statistical models and essential methods of quantitative finance Some level of proficiency in quantitative programming (Python preferred) Highly analytical Good interpersonal skills Detail-oriented Self-starter Ability to work cooperatively in a team-oriented, fast-paced environment A commitment to the highest ethical standards and to act with professionalism and integrity Point72 is a leading global