Research Communications Manager in London

Overview: The Insights product is an offering for Guidepoint's Institutional investment and corporate clients, that offers teleconferences, surveys, and in-person events. The teleconferences live in a transcript library portal, which covers a wide of industries/topics that enables our clients to make informed decisions. All content features experts from Guidepoint’s proprietary global network and is conceptualized and hosted by former investment professionals (i.e. private equity/hedge fund), sell-side equity research analysts, and industry professionals. All applicants must have the right to work in the UK. What You'll Do: Monitor single name corporate credit situations in European markets including new issues, distressed, restructuring/re-orgs, and price dislocations in both leveraged loan and high yield markets. Create original, sell-side type content on these topics Conduct bottoms-up company research including reviewing earnings releases, reading investor presentations and analyzing regulatory filings Moderate teleconferences on timely topics featuring an expert from Guidepoint’s network with the goal of producing actionable insights for buy-side clients Generate ideas and follow key investor views among relevant strategies within European credit Can be an in-person position or a fully remote work-from-home position What You Have: Bachelor’s degree or Master’s degree 7 years or more of sell-side or buy-side analyst experience Follow a bottoms-up, fundamental approach to investment research focusing on individual companies Has prior experience covering single name corporate credit across both bank loan and high yield markets with a European focus; must be proficient in corporate credit analysis, with an emphasis on either loan / High Yield or Distressed strategies Ability to work in a fast-paced entrepreneurial environment Outgoing personality with the ability to speak with people at all professional levels Intellectual curiosity and desire to learn Effective ti

Overview: The Client Service team connects Guidepoint’s clients with subject-matter experts to better inform their business decisions. They take the time to understand each client’s specific research needs and deliver the experts closest to the topic, often within hours. Play a vital role in Guidepoint’s success. As an Associate on the Client Service team, you will understand your client’s unique business questions and identify the experts who can best provide the answers. You will find and recruit new experts into our network of over 1,250,000 Guidepoint Advisors, determining which ones are best suited to speak with the client. For many of our employees, the Associate role provides a unique opportunity to put core business skills into practice, as well as gain exposure to a wide range of industries and disciplines. This is a hybrid position out of our London office . All applicants must have the right to work in the UK. Interview Process: Meet your Guidepoint Recruiter! Initial Candidate Screen Meet the Guidepoint Teams! Hiring Manager Interview Mock Assessment (Role dependent) Complete a simulated client request and gain more insight into the role Mock Interview Discuss your assessment with the Guidepoint teams Interview Process Outcome Who We Are: Team-oriented and collaborative Hard-working professionals who strive for excellence Built-in mentorship to help you drive and improve your project management and customer service skills, to deliver excellent results for clients Hands-on leadership to help you develop your career and provide opportunities for upward mobility within Guidepoint Guidepoint is passionate about your career growth: Check out our Client Service Career Trajectory. What You Will Own: Operate in a sales role, identifying the best experts to join our network to provide consultation for client projects Work with Project Managers to develop strategies for satisfying each clien

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a product marketer at Vanta, you’ll help bring this vision to life by defining the new category of trust management, shaping Vanta’s positioning and differentiators externally, and influencing our product and business roadmap. We sit at the intersection of Marketing & Demand Generation, Sales, Product, and Customer Success and revel in connecting all of these teams to drive the business forward. Research, analysis, curiosity, storytelling, and project management are just a few of the attributes of our team – in addition to being open, empathetic, and genuinely nice people. As the EMEA Product Marketing lead, you will be responsible for bringing Vanta’s story to the EMEA audience to help us drive sustainable growth in the market. You’ll craft compelling messaging that’s tailored to the region, based on insights from buyer and market research. You’ll lead product launches to help amplify Vanta’s presence in the region, and partner closely with our product management team to identify growth opportunities for us to continue building our product. Finally, you’ll partner closely with our GTM organisation to expand Vanta’s footprint and accelerate our growth. What you’ll do as a Product Marketing Lead at Vanta: Define and manage go-to-market (GTM) strategy for Vanta’s business in EMEA tailored to the unique opportunities across the EMEA region Develop tailored messaging and positioning for EMEA based on market research and customer insights Partner with our EMEA growth team on the development and execution of targeted marketing campaigns, including tailored messaging and content that effectively engage local audiences and drive

About the Team ChatGPT relies on a large and growing GPU fleet to serve inference workloads reliably and efficiently. We develop the systems and tools that make it possible to introduce new models, manage production deployments, respond to operational issues, and use infrastructure effectively at scale. Our work spans distributed systems, platform engineering, infrastructure automation, and developer experience. We partner closely with research, infrastructure, and product teams to make model deployment more reliable, more efficient, and easier to manage. About the Role We are looking for a software engineer with experience building or operating large-scale production systems. You will design and develop systems that support the model lifecycle in production, including deployment orchestration, configuration management, operational automation, reliability, and capacity management. You will help transform complex operational processes into scalable platform capabilities that enable teams across OpenAI to deploy and manage models with greater confidence and less manual effort. This role is a good fit for engineers who enjoy solving complex operational problems and building software that makes production infrastructure easier to run at scale. In This Role, You Will Build and evolve the platform used to deploy, configure, and manage models across ChatGPT. Develop systems for deployment orchestration, model rollouts, operational visibility, and production readiness. Create abstractions and tooling that simplify complex infrastructure and improve the developer experience. Automate operational workflows, including incident detection, diagnosis, mitigation, and recovery. Improve the reliability, scalability, and efficiency of model deployments and the infrastructure that supports them. Build systems that support capacity planning, resource allocation, and infrastructure utilization. Partner with research, infrastructure, and product engineering teams to identify common chal

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: We are looking for world-class research scientists and research engineers to build cutting-edge multilingual AI to serve the world! At Cohere, we care deeply about building technologies that are broadly accessible and useful, regardless of language. As a Member of Technical Staff on the Multilingual team, you'll be at the forefront of advancing language models that serve the world. You’ll push the boundaries of what's possible in natural language processing. This isn't just a technical role—it's an opportunity to contribute to groundbreaking research that will define the next generation of AI. Key Responsibilities: Lead the design and implementation of scalable solutions to improve multilingual LLM performance across a wide variety of skills – if we need it to make a great multilingual model, you can build it! Is perfect for someone passionate about languages and AI, with a keen eye for detail and strong technical skills. Offers the opportunity to contribute to cutting-edge language technology, making a global impact. Requires a self-starter who can work independently and deliver results efficiently. Publish resea

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Software Engineers at Palantir drive large-scale transformation through data, AI and world-leading infrastructure that supports mission-critical workloads. As an engineer within Palantir's Infrastructure teams, you'll have the opportunity to grow more quickly than you ever imagined as you contribute high-quality code directly to: The shared infrastructure underpinning Palantir Foundry, Palantir Gotham and Palantir Apollo — platforms deployed at the most important institutions across the public and private sectors Rubix and Mission Manager, our new internal-infrastructure business line, used by advanced civil and defence agencies worldwide to power their infrastructure in highly sensitive environments The substrate on which Palantir deploys Foundry and Gotham, powering workflows for research scientists, aerospace engineers, intelligence analysts and economic forecasters This means driving investments that improve the velocity and quality of our engineering. Infrastructure at Palantir spans our Foundations, Production Infrastructure and Foundry teams. Teams within Palantir's Foundations organisation are made up of a small number of engineers, each focused on one of four major categories of our infrastructure: Backend Infrastructure Developer Infrastructure Frontend Infrastructure Storage Infrastructure Production Infrastructure organisation, made up of small teams of engineers working on: Environment Platform: a Kubernetes-based PaaS spanning hundreds of production clusters Apollo: secure, fleet-wide deployment and change-management for complex microservice suites Signals: our full suite of observability and alerting tools Foundry itself is also a developer

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Software Engineers at Palantir drive large-scale transformation through data, AI and world-leading infrastructure that supports mission-critical workloads. As an engineer within Palantir's Infrastructure teams, you'll have the opportunity to grow more quickly than you ever imagined as you contribute high-quality code directly to: The shared infrastructure underpinning Palantir Foundry, Palantir Gotham and Palantir Apollo — platforms deployed at the most important institutions across the public and private sectors Rubix and Mission Manager, our new internal-infrastructure business line, used by advanced civil and defence agencies worldwide to power their infrastructure in highly sensitive environments The substrate on which Palantir deploys Foundry and Gotham, powering workflows for research scientists, aerospace engineers, intelligence analysts and economic forecasters This means driving investments that improve the velocity and quality of our engineering. Infrastructure at Palantir spans our Foundations, Production Infrastructure and Foundry teams. Teams within Palantir's Foundations organisation are made up of a small number of engineers, each focused on one of four major categories of our infrastructure: Backend Infrastructure Developer Infrastructure Frontend Infrastructure Storage Infrastructure Production Infrastructure organisation, made up of small teams of engineers working on: Environment Platform: a Kubernetes-based PaaS spanning hundreds of production clusters Apollo: secure, fleet-wide deployment and change-management for complex microservice suites Signals: our full suite of observability and alerting tools Foundry itself is also a developer

About the Team OpenAI’s Network Security team designs and operates the secure, reliable connectivity behind our offices, labs, campuses, cloud environments, people, and devices. We combine strong network fundamentals with automation, observability, and close partnership across IT, Security, Research, Applied, and business teams. About the Role As a Network Engineer, you will design, operate, troubleshoot, and automate secure, reliable networks across offices, labs, cloud connectivity, and production services. You will balance strategic platform work—architecture, standards, roadmaps, lifecycle planning, and automation—with responsive operations such as incidents, escalations, break/fix, and time-sensitive delivery. We’re looking for broad network engineers who meet users where they are, lead with curiosity, own outcomes end-to-end, move with urgency grounded in security, and iterate with purpose. You will turn operational signals and recurring reactive work into durable systems and standards. In this role, you will: End-to-end ownership of secure enterprise routing, switching, wireless, WAN, network services, and cloud connectivity. A deliberate balance of strategic platform improvement and responsive troubleshooting, change safety, incident response, and operational delivery. Purposeful iteration through software, APIs, Infrastructure-as-Code, Git workflows, testing, and CI/CD that reduces recurring reactive work. You might thrive in this role if you have: End-to-end ownership of secure enterprise routing, switching, wireless, WAN, network services, and cloud connectivity. A deliberate balance of strategic platform improvement and responsive troubleshooting, change safety, incident response, and operational delivery. Purposeful iteration through software, APIs, Infrastructure-as-Code, Git workflows, testing, and CI/CD that reduces recurring reactive work. Compensation, Benefits and Perks This is a position with OpenAI UK Ltd., which controls the hiring and manageme

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role As an Account Director focused on Life Sciences, you will own executive-level relationships with leading life sciences organizations, including global pharmaceutical manufacturers, medical device companies, and contract research organizations. You’ll help these companies safely and effectively deploy OpenAI’s technology to transform R&D productivity, automate documentation, enhance regulatory workflows, and personalize patient and provider engagement. This role blends scientific literacy, technical depth, business acumen, and relationship-driven enterprise sales. You will collaborate closely with researchers, engineers, and healthcare-focused solution strategists to design secure, compliant, and high-impact AI deployments. This role is based in London. In this role, you’ll: Manage a focused portfolio of large pharmaceutical and life sciences accounts, developing long-term strategic account plans Lead complex, multi-stakeholder sales cycles spanning R&D, medical, regulatory, and commercial functions Partner with solutions and research engineering to design pilots that demonstrate measurable business and scientific impact Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated environments Own a revenue and consumption target; manage forecasts and pipeline reporting Monitor

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role As a Security Engineer on Detection & Response, you’ll help protect OpenAI’s most sensitive assets– including our intellectual property, customer data, and the infrastructure that supports them– by building and operating the systems we use to detect suspicious activity and respond effectively when it matters. You’ll work across endpoints, identity, cloud, hyperscale compute infrastructure, and datacenter-adjacent layers, partnering closely with security teams and infrastructure owners to define the telemetry and response requirements we need and building tooling and automation where it delivers the most leverage. In this role, you will: Build and evolve Detection & Response capabilities across OpenAI’s infrastructure, products, and research environments, with an emphasis on high-signal detection and reliable operational response. Engineer detection pipelines and tooling: develop rule lifecycle management, measurement/quality loops (coverage, precision, latency), tuning processes, and safe rollout patterns. Automate response and investigations by building workflows that reduce toil (triage, enrichment, containment, evidence capture) and improve time-to-understand/time-to-contain. Partner with other Security teams and system/infrastructure owners across the company to ensure new systems ship with the right telemetry, threat models, and response playbooks from day one. Define D&R requirements and drive visibility across endpoin

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role As an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data. This role can be hybrid in our London hub. You'll report to the head of AI engineering. 🦸🏻‍♀️ What you'll do Architect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform. Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers. Collaborate closely with research scien

We're looking for a Senior Business Development Representative to join us in a high-impact commercial role at the forefront of Voice AI. You’ll play a critical part in driving pipeline growth across enterprise and mid-market accounts, working with a genuinely differentiated API product used by technical buyers globally. You’ll operate in a fast-scaling environment, partnering closely with account executives and engaging with senior stakeholders. This role is ideal for someone who combines strong sales instincts with a structured, data-driven approach and is motivated to grow within one of the most exciting and rapidly evolving areas of the tech industry. What you’ll be doing: Building and managing pipeline across a defined territory Identifying and targeting enterprise and mid-market accounts Conducting outbound prospecting using multi-channel approaches (email, phone, LinkedIn) Qualifying inbound and outbound leads to create high-quality opportunities Partnering closely with Account Executives to progress and convert opportunities Tailoring messaging to both technical and commercial stakeholders Using tools like Salesforce, sequencing platforms, and LinkedIn Sales Navigator to manage activity and performance Leveraging AI tools to research accounts and personalise outreach Who we are looking for: Demonstrated success hitting or exceeding targets, with clear evidence of performance and impact Brings a methodical, organised approach to territory management and pipeline building Able to confidently engage both technical buyers (e.g. CTOs) and business leaders with tailored messaging Comfortable selling complex or intangible products such as APIs, platforms, or developer tools Ambitious, coachable, and motivated to develop into more senior commercial roles as the company scales We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we’re looking for,

Position Overview: We are seeking a Payroll Specialist to be responsible for handling all aspects of payroll processing across the entire organization, including Americas, EMEA, and APAC, in a fast-growing business. Strong experience managing UK payroll and knowledge of UK payroll legislation, tax, pensions, and compliance requirements is essential. The Global Payroll Specialist ensures that payroll transactions are well documented, executed appropriately, and completed on time. This role also supports the development of cost-effective and efficient payroll processes, including integrating newly acquired entities. Key Responsibilities Ensure on-time and accurate disbursement of all payroll transactions for Diligent’s employees for multiple international payrolls, while ensuring HR and Payroll records remain in synch. Work closely with Human Resources (HR) to facilitate and ensure accurate data entry of benefit, employee data, pay and other payroll changes into the payroll system. Creating and notating payroll journal entries in the general ledger (GL). Research and work with accounting to resolve payroll GL reconciliation exceptions to ensure proper recording of payroll transactions in the company’s ERP system. Review and audit timesheets and payroll reports, manage payroll cutoffs, and process payrolls timely and accurately. Assist in the maintenance of country specific payroll guidelines and applicable policies and procedures. Ensure all requests sent to the payroll department are resolved in a timely manner. Required Experience/Skills 3+ years of end-to-end payroll processing with global experience and management of third‑party international payroll providers. Experience with Workday Payroll is highly desirable, with the ability to navigate payroll processes, reporting, and employee data management effectively. General Ledger experience and a s

Here’s a summary of the role: Build cloud software that matters, grow your technical depth, and use modern AI tooling to do your best work. This is a hands-on engineering role for someone who enjoys solving product problems, writing clean code, and helping services run reliably at scale. You’ll work on secure, scalable microservices and APIs using TypeScript, AWS , and modern engineering practices. You’ll be part of a collaborative product engineering team where you can own features, contribute to design discussions, support production systems, and keep growing across backend, cloud, and AI-assisted development workflows. Here’s a breakdown of what you’ll do, not all of it, just the important stuff: Design, build, test, and improve backend services and APIs using Node.js, TypeScript, and AWS . Take ownership of well-defined features from planning through release, including code quality, deployment, and production support . Work closely with product managers, designers, and other engineers to turn requirements into practical, reliable solutions. Contribute to technical design conversations, code reviews, and engineering standards that keep the team moving well. Use AI tools to speed up research, coding, debugging, testing, and documentation, while checking outputs carefully and applying sound judgment. Help keep systems secure, observable, and maintainable by improving monitoring, reliability, and day-to-day development practices. These are the essentials you’ll need to get an interview: 3 to 5 years of professional software engineering experience building production applications in an agile environment. Strong backend development skills with Node.js and TypeScript, including experience building APIs or microservices. Experience with React or Angular in a product engineering environment. Hands-on experience with

Here’s a summary of the role: Build software that matters, take real technical ownership, and use modern AI tooling to do your best work. This is a hands-on senior engineering role for someone who enjoys solving complex product problems, shaping robust solutions, and helping teams deliver reliable services at scale. You’ll work on secure, scalable microservices and APIs using TypeScript, AWS, and modern engineering practices. You’ll play a leading role within a collaborative product engineering team, owning complex features end to end, contributing to design and architectural decisions, supporting production systems, and helping raise the bar across backend, cloud, and AI-assisted development workflows. Here’s a breakdown of what you’ll do, not all of it, just the important stuff: Own and deliver complex backend services and APIs using Node.js, TypeScript, and AWS , from technical design through release and production support. Contribute to design and architecture discussions, making pragmatic decisions that balance delivery speed, maintainability, scalability, and security. Mentor and support less experienced engineers through code reviews, pairing, technical guidance, and day-to-day collaboration. Work closely with product managers, designers, and engineers across the team to turn requirements into practical, reliable solutions. Use AI tools to accelerate coding, debugging, testing, research, and documentation, while validating outputs carefully and applying sound judgment. Strengthen service reliability, observability, and engineering quality by improving monitoring, incident response, testing, and development practices. These are the essentials you’ll need to get an interview: 5 to 8 years of professional software engineering experience delivering production systems in an agile environment. Strong backend development s