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Revenue Operations Intern supporting data infrastructure and automation for enterprise AI. The role involves overhauling Salesforce systems, updating data models and pipelines for revenue reporting, and developing automated dashboards for go-to-market and finance teams. Requires skills in spreadsheets, SQL, Salesforce, BigQuery, Looker, or Tableau.
Public Sector Delivery Analyst for Canadian public sector AI deployments. Responsible for tracking project actions and dependencies, running meeting cadences, maintaining delivery artifacts and documentation, and engaging directly with government clients. Requires 1 to 4 years of experience in technology or management consulting, technical fluency, strong written communication skills, and eligibility for a Government of Canada security clearance.
An Engineering Manager, Cohere APIs and DevEx leading the team that owns the Cohere inference APIs, SDKs, and Dashboard. Day to day, they manage backend and full-stack software engineers, participate in model releases, collaborate with UX designers and modeling teams, and oversee open source projects. The role requires experience managing engineering teams, shipping products, and working across the full stack with Go, Next.js, TypeScript, and React.
A manager of government affairs and public policy for Japan who leads advocacy, shapes artificial intelligence policy, and cultivates relationships with lawmakers and regulators across national and local levels. The role requires native fluency in Japanese and English, 10 to 12+ years of combined corporate and political experience in the technology sector, expertise in AI policy, and experience supporting public-sector sales and compliance activities.
Legal Counsel, Corporate Governance & Regulatory for an enterprise AI company. Day-to-day responsibilities include supporting global corporate governance, subsidiary and intercompany matters, cross-border regulatory workstreams, export-control and sanctions compliance, and public-sector procurement and market-access requirements. Requires 4 to 8 years of relevant legal experience with a strong foundation in corporate law, cross-border transactions, and international regulatory or trade matters.
Vice President of Sales - Public Sector leading global revenue growth and enterprise customer acquisition strategies for foundation AI models and products. The role owns go-to-market execution, sales team leadership, government relationship management, and cross-functional collaboration with marketing, product, and engineering. Requires 10+ years of public sector sales and leadership experience in technology organizations with a network in federal, defense, and intelligence communities, along with consultative solution sales expertise.
Manager, Executive Assistants, Revenue on the administrative team. This role supports the VP of EMEA and manages the global Revenue executive assistant team, overseeing calendars, travel logistics, cross-functional initiatives, and administrative operations. The position requires experience with Slack, Google Calendar, Google Sheets, and Google Slides, along with skills in performance management, strategic planning, and stakeholder communication.
Senior staff data engineer leading the Data Foundation pillar on enterprise AI analytics and infrastructure. Responsible for managing the full data lifecycle including ingestion, orchestration, warehouse modeling, and serving through APIs and semantic layers. Requires 10+ years of experience utilizing BigQuery, Airflow, dbt, Terraform, and cloud data governance tools.
A staff or senior staff software engineer on agent infrastructure. The role involves building the next generation of agentic AI infrastructure, focusing on secure code execution, state management, model routing, authentication, and resource management for autonomous AI agents. The position requires experience with production ML infrastructure, distributed systems, Kubernetes, and agentic workflows, utilizing skills in systems design, prototyping, and translating ML research into production-ready platforms.
A Technical Program Manager, AI Delivery for Public Sector & Defense, Germany who drives end-to-end technical program delivery for public sector and defence accounts in Europe. They own customer program leadership, strategic communication, complex program management, and technical delivery of frontier AI solutions while navigating procurement, security, and data sovereignty requirements. The posting requires 6+ years of customer-facing technical program management experience in AI/ML consulting or enterprise software, an understanding of government and defence procurement, and expertise with enterprise deployment architectures and modern AI technologies like LLMs.
A Delivery Operations Analyst connecting GTM and Delivery Engineering teams. The role owns operational processes, data quality, and automation across the GTM-to-Delivery workflow using Salesforce, Mission Control, and automation tools. The posting asks for 2 to 4 years of experience in business analysis, operations, or revenue operations, along with strong analytical skills and experience with CRM and business operations systems.
Senior Sales Operations Specialist in the enterprise AI and SaaS domain. Responsible for optimizing sales operations, defining sales strategies and forecasts, streamlining pipeline management and CRM optimization, coordinating cross-functional go-to-market execution, and monitoring sales KPIs. Requires 8+ years of sales operations experience, CRM proficiency such as Salesforce, strong data analytics, strategic planning, and executive communication skills.
Partner Development Manager focused on the enterprise and public sector market in Germany and the DACH region. Owns partner strategy, go-to-market execution, onboarding, joint pipeline generation, co-selling, and business planning with system integrators, cloud providers, and government agencies. Requires 8+ years of experience in partner development, channel sales, or alliance management in the tech industry, along with expertise in sovereign cloud GTM, public sector procurement, and AI technologies such as LLMs and RAG.
Vice President of Sales, EMEA. You lead go-to-market growth strategies, enterprise customer acquisition, and cross-functional teams to drive revenue and market expansion for enterprise AI models and products. Requires 15+ years of executive-level experience in technology go-to-market leadership, enterprise consultative solution sales, and business development.
Senior/Staff Software Engineer (Back-End), Inference for an enterprise AI inference platform, owning core control-plane services, authentication, billing, security, and deployment management for enterprise workloads. Responsibilities include evolving distributed backend systems, driving architectural initiatives for identity and platform scalability, and building secure tenant isolation and privacy boundaries. Requires strong fundamentals in distributed systems, security, and production engineering, with experience building production systems in languages such as Go, Python, Java, C++, or Rust.
A Revenue Enablement Manager - EMEA who builds and manages end-to-end enablement programs for field teams in the enterprise AI domain. This role owns program design, GTM alignment, resource creation, MEDDPICC operationalization, and impact measurement, utilizing AI workflows, CRM systems, and enterprise sales methodologies. The posting requires 5+ years of experience in sales enablement, training, or revenue operations within B2B SaaS or tech.
A member of technical staff in post-training data infrastructure who builds and owns pipelines for large language model post-training data, including SFT, RL, synthetic, and human-annotated datasets. Day-to-day responsibilities include maintaining data pipelines, owning dataset quality and versioning, scaling model inference for data generation, and designing data schemas while collaborating with researchers. The role requires strong software engineering skills, experience with large-scale machine learning data pipelines, distributed data processing, and an understanding of post-training methods like SFT, RLHF, and DPO.
A member of technical staff in post-training for reinforcement learning and generalization who trains large language models using reinforcement learning, designs training recipes and evaluations, and improves out-of-distribution generalization. The role requires strong software engineering skills, hands-on experience training LLMs, reinforcement learning experience such as PPO, GRPO, RLHF, and RLVR, and experience with distributed training tools like JAX, PyTorch, FSDP, or Megatron.
Senior full-stack engineer on the Cohere Dashboard team. This role involves building and maintaining the user-facing control center for Cohere users, managing browsers and servers, crafting resilient systems, and collaborating with cross-functional teams. The posting requires experience with Next.js, TypeScript, React, Python, and complex SQL queries.
A Chief of Staff who supports the Chief AI Officer and runs the AI organization's operating rhythm, planning, budgets, and cross-functional execution. This role owns annual and quarterly planning, business reviews, headcount planning, and special projects bridging research, modelling, product, delivery, and security. The posting requires 12+ years of operating experience in an AI/ML organization in a Chief of Staff or business operations role, deep understanding of AI model development and metrics, and strong cross-functional communication skills.
A forward deployed engineer, agentic platform (Korea) who builds and deploys enterprise-grade AI agents and workflows using large language models on the North platform. This role involves working directly with customers to integrate LLMs with tools and data sources, providing technical leadership, and mentoring engineers. The position requires experience with modern LLM ecosystems, Python, JavaScript or TypeScript, and fluency in both English and Korean.
Product & Technology Communications Manager driving enterprise AI messaging, product launches, and technical storytelling. Partnering with product, engineering, and research teams to translate complex AI concepts into accessible content for diverse audiences. Requiring 5-7 years of experience in product and technology communications or technical content within AI, enterprise software, or developer ecosystems.
A Design Engineer on the Waypoint design system team, responsible for owning and evolving the Figma library and production codebase, building core components, managing token pipelines, and shaping the system to be legible to AI models. The role requires fluency in both design systems and frontend development, using Figma, npm, CSS, Tailwind, and custom tooling.
An Office Manager & Security Coordinator for an enterprise AI company's Ottawa office. This hybrid role oversees daily office operations, vendor management, facility maintenance, and internal events while ensuring compliance with Canadian industrial security standards and government contract regulations. The position requires Canadian citizenship, Reliability Status, and experience in security operations and office management.
A Senior Account Executive - Technology who owns the full sales cycle for enterprise AI platform deals within the technology sector. The role involves net-new logo acquisition, consultative selling of complex technical products, and collaborating with internal product, engineering, and customer success teams as well as channel partners. The posting requires 8-12+ years of B2B SaaS sales experience, expertise in negotiating transformational multi-year deals, and a strong understanding of the technology industry and AI/NLP solutions.
A Senior Account Executive, Germany PUBSEC who owns the full sales cycle for defense, federal civilian, and local government agencies in Germany, driving net-new customer acquisition and executing regional sales plans. The role involves working closely with channel partners, system integrators, and internal teams like Product and Engineering to shape AI solutions for public sector clients. Requires direct public sector sales experience in Germany, knowledge of PUBSEC procurement and budget cycles, an established network, and proficiency in both English and German.
Staff Technical Program Manager, Machine Learning for generative modeling and foundation AI. Owns scaling operational capacity, establishing foundational processes, and leading cross-functional, company-wide strategic initiatives for core generative models. Requires 5-10 years as a Technical Program Manager with 5+ years in AI/ML, in-depth knowledge of machine learning, Natural Language Processing, and Large Language Models.
Senior Account Engineer for enterprise AI solutions, owning the full sales cycle and pipeline generation for enterprise and Global 2000 organizations across the UK and Benelux. This role requires driving net-new customer acquisition, navigating complex C-suite sales, and positioning private, on-premise, and in-country AI deployments. The position calls for over 10 years of B2B enterprise sales experience, expertise in MEDDPICC, familiarity with European data regulations, and a hunter mentality for territory building.
Account Executive Japan for an enterprise AI company, owning the full sales cycle from lead generation to closing deals for enterprise customers across diverse industries. Responsibilities include net-new logo acquisition, working with channel partners, collaborating with product and engineering teams, and driving outbound business development. The posting requires 10+ years of enterprise-level B2B sales experience, experience selling technical products or AI solutions, native-level Japanese, and business-level English.
Public relations director, APAC at an enterprise AI company. You own building and scaling the PR and communications function from the ground up across the APAC region, driving regional strategy, agency management, executive thought leadership, and crisis communications. Requires 12-15 years of corporate communications experience in tech or AI, people management, and expertise in policy and regulatory messaging.
Senior Account Executive - Montreal/Atlantic Canada for enterprise AI software solutions, responsible for owning the full B2B sales cycle from lead generation and multi-year SaaS deal closing to deployment oversight within Eastern Canada. Requires 8-12+ years of enterprise sales experience, consultative selling of complex products like developer tools, APIs, or AI/NLP solutions, and collaboration with channel partners and internal technical teams.
A Revenue Enablement Program Manager for enterprise AI solutions. This role builds, manages, and measures end-to-end enablement programs, creates playbooks and certification paths, operationalizes the MEDDPICC methodology, and partners with go-to-market teams to align priorities and accelerate seller productivity. The position requires experience in sales enablement or revenue operations, enterprise sales methodology mastery, CRM proficiency, and AI fluency.
An executive producer, executive communications for enterprise AI. This role owns and evolves the company's global narrative by producing video, podcast, and in-house content for executive thought leadership, policy storytelling, and corporate storytelling. The position requires building production workflows, leveraging AI-enabled tools, and partnering with C-suite executives.
An IT Support Specialist anchoring regional IT operations across the APAC time zone. This role handles day-to-day helpdesk operations, workstation troubleshooting, identity and access management, and onboarding workflows. The posting requires 5+ years of experience in internal IT support, along with skills in Okta, Google Workspace, MDM platforms like Jamf and Microsoft Intune, and networking fundamentals.
Software Engineer, Security focusing on building and securing enterprise AI and agent architectures. Day-to-day responsibilities include developing production security features like OIDC/OAuth flows, session management, authentication, JWT validation, encryption, tool integration, and Kubernetes secret management. Requires 5+ years of experience building user-facing security features with Python, Kubernetes, cloud environments such as GCP, AWS, or Azure, and familiarity with AI/ML systems.
Partner Development Manager - Japan for the Japan enterprise market. You own partner relationships, develop partner strategies and execution, lead onboarding and enablement, drive joint pipeline generation and co-selling, and handle business planning, advocacy, and thought leadership. Requires native-level Japanese, business-level English, 8+ years in partner development or channel sales in tech (AI or cloud), and working knowledge of AI technologies like LLMs, RAG, and agentic workflows.
Senior full-stack engineer, internal applications. This role builds user-facing products and mission-critical resilient systems on the Internal Applications team to support annotators and ML researchers. The posting requires experience with Next.js, TypeScript, React, Python, and complex SQL queries.
Senior Account Executive driving net-new customer acquisition and managing full sales cycles for enterprise AI models and products across the Nordic region. The role involves outbound prospecting, building executive relationships, aligning with channel partners, and tailoring solutions for sectors such as telecommunications, financial services, and healthcare. Requires over 10 years of B2B enterprise sales experience, fluency in a Nordic language and English, and familiarity with complex enterprise solutions, private deployments, and European regulatory requirements.
Senior Software Engineer on security agents. In this role, you build autonomous security agents, agent orchestration systems, and security infrastructure for enterprise AI applications. The position requires Python development, experience with autonomous systems or AI agents, and a strong background in application and infrastructure security principles.
Senior Account Executive, SLED (East) focusing on enterprise AI and foundation models within the State, Local, and Higher Education sector. Owns the full sales cycle from prospecting to closing deals, driving customer acquisition, and developing strategic partnerships with government agencies and educational institutions. Requires 5+ years of direct public sector sales experience in the SLED market, deep knowledge of procurement cycles, and experience selling SaaS, AI/ML, or enterprise software solutions.
Senior Director, Solutions Architecture — Americas. You own the US and Canada commercial Solutions Architecture function, leading the team that turns enterprise interest in agentic AI into deployed, production systems. You set strategy, partner with sales leadership to close strategic deals, and guide customers in designing secure AI solutions across cloud, hybrid, VPC, and on-premises environments using large language models and retrieval systems.
Senior Product Security Engineer for enterprise AI products and foundation models. Owns security reviews, threat modeling, AI-specific risk evaluation, vulnerability testing, and the creation of scalable guardrails and secure defaults. Requires software engineering fundamentals, proficiency in Python, Go, or TypeScript, experience with complex production systems, and knowledge of modern application architecture and security vulnerabilities.
Forward Deployed Engineer, Infrastructure Specialist (Middle East) bridging the core North product and client engineering teams in finance, healthcare, and telecommunications sectors. Responsible for leading end-to-end deployments in private cloud and on-premises environments, partnering with enterprise IT teams, designing deployment strategies, troubleshooting technical issues, and ensuring compliance with security standards. Requires experience with enterprise software deployment, large-scale Kubernetes, Helm, cloud infrastructure (Azure, AWS, GCP), networking, DevOps practices, and fluency in Arabic and English.
Senior Security Engineer in enterprise AI. Owns security operation functions, vulnerability management, SAST, DAST, detection engineering, and incident response in CI/CD and cloud-native production environments, while integrating security into applications across the software development lifecycle. Requires 5+ years of experience in Application/Product Security or Security Operations, expertise in cloud and network security, and hands-on skills in security automation and tooling.
Senior Software Engineer, GPU Infrastructure (HPC) who builds and operates ML-optimized HPC infrastructure and Kubernetes-based GPU/TPU superclusters across multiple clouds. Day-to-day responsibilities include optimizing infrastructure for AI and ML training, troubleshooting system failures, and enabling researchers with self-service tools. The role requires skills in Python, Go, Kubernetes, distributed training frameworks like PyTorch and JAX, and low-level systems knowledge including Linux internals and RDMA networking.
Technical program manager, AI delivery, focusing on customer-facing technical delivery and operations for enterprise-grade AI software and machine learning solutions. Day to day, you own cross-functional communication, program and project planning, execution, and risk management while collaborating with engineering, product, and strategic customers. The role requires at least 5 years of experience as a technical program manager with customer-facing technical delivery, along with knowledge or experience in large language model training or optimization.
Manager of security engineering in the enterprise AI domain, leading a security engineering team to protect AI models and platforms. Day-to-day responsibilities include vulnerability management, SAST and DAST integration, penetration testing, security architecture reviews, and secure SDLC implementation. The role requires experience with application security, cloud platforms, Python or GoLang, and compliance standards such as OWASP and ISO 27001.
Technical Program Manager, AI Delivery for Public Sector & Defence, Canada. This role owns end-to-end technical program delivery for Canadian public sector and defence accounts, translating complex government requirements and security standards into actionable engineering plans for AI solutions. The posting requires experience with AI/ML systems, enterprise software deployments, government procurement, and regulatory compliance.
A Partner Development Manager - AWS who owns partner relationships, go-to-market execution, joint pipeline generation, and co-selling with AWS and enterprise partners in the AI domain. Day to day, they drive partner onboarding and enablement, conduct joint business planning, and serve as an advocate for partners within internal product and policy teams. The role requires experience in partner development, channel sales, or alliance management within the tech industry, along with a working understanding of AI technologies such as LLMs, RAG, and agentic workflows.
Senior Account Executive - US Public Sector (Civilian and Federal) focused on business development and customer acquisition within US Federal Civilian organizations. Day-to-day responsibilities include owning the full sales cycle from lead generation to deal closure, developing sales plans for non-defense Cabinet-level agencies, partnering with channel partners and system integrators, and collaborating with internal product and engineering teams. The role requires direct public sector sales experience in the US Federal Government, deep knowledge of federal procurement cycles, and experience selling SaaS, AI/ML, or enterprise software solutions.
Global Public Policy Manager, Compute, Infrastructure & Sovereign AI leading policy engagement on compute infrastructure, export controls, AI competitiveness, and sovereign AI strategies. The role monitors policy developments, develops policy positions, supports government engagement, and collaborates with commercial and product teams. Requires 5 to 7 years of experience in public policy, technology policy, trade policy, energy policy, or national security policy, with a strong understanding of geopolitical technology issues and AI infrastructure.
A business development representative driving revenue growth for enterprise AI solutions. The role involves identifying, qualifying, and nurturing high-potential leads, conducting outbound calls and emails, using CRM tools like Salesforce, and running independent sales cycles. The posting requires experience in business development or sales within a SaaS or tech environment, familiarity with CRM platforms, and a basic understanding of AI or natural language processing concepts.
An Engineering Manager, FDE Agentic Platform leads a team of Forward Deployed Engineers building agentic solutions and deploying enterprise software in on-premises environments. Day to day, you manage technical implementation, customer success, and agent development processes while collaborating with product and sales teams. The role requires experience in software engineering, engineering management, building enterprise software at scale, and working with agentic applications.
A forward deployed engineer on the agentic platform. The domain is enterprise AI workspace platforms and agentic workflows, owning the design, build, and deployment of LLM-powered agents and features for the North product. The role requires Python, RAG and agentic application development, vector databases, orchestration frameworks, and evaluation methodologies.
An Engineering Manager, FDE Infrastructure (NORAM) who leads and mentors a team of Forward Deployed Engineers driving the end-to-end deployment of enterprise AI platforms into private cloud and on-premises environments. The role owns customer success from technical implementation through delivery, optimizes infrastructure performance, and defines scaling guidelines for compute resources. The posting requires 5+ years of software engineering experience with demonstrated leadership, hands-on enterprise software deployment at scale, expertise in cloud infrastructure, Kubernetes, Helm, and CI/CD pipelines.
A forward deployed engineer, infrastructure specialist in the public sector who leads end-to-end deployments of an AI workspace platform in private cloud and on-premises environments for public sector customers. This role involves designing tailored deployment strategies, assessing infrastructure and security requirements, administering production Kubernetes clusters, and troubleshooting technical issues. The position requires expertise in cloud infrastructure, Helm, DevOps practices, and enterprise software deployment.
A Forward Deployed Engineer, Sovereign AI partnering with public sector organizations to build and ship features for the North AI workspace platform. The role involves developing autonomous agents for sensitive enterprise data, leading end-to-end deployments in private cloud and on-premises environments, and working across the full product lifecycle. The posting requires skills in Python, RAG and agentic application development, and full-stack engineering.
Head of Corporate Development in the enterprise AI and sovereign AI solutions domain. This role owns driving M&A strategy, market expansion, cross-functional leadership, and strategic partnerships, including evaluating acquisitions, managing due diligence, building government and telco alliances, and developing joint go-to-market strategies. It requires 12+ years of experience in corporate development, strategic partnerships, or investment banking in AI, SaaS, or enterprise software, alongside strong negotiation, financial modeling, and regulatory compliance skills.
Solutions architect - nordics in the enterprise AI and generative LLM domain, responsible for leading customer pilots, designing enterprise architectures, owning technical relationships, and driving product adoption. The role requires experience in customer-facing technical pre or post-sales roles, machine learning and NLP concepts, Python, assistive coding tools, and professional fluency in English with preferred fluency in Swedish, Danish, or Norwegian.
Forward Deployed Engineer, Agentic Platform for the UK Public Sector. The role involves designing, building, and deploying LLM-powered agentic workflows and full-lifecycle features for the North AI workspace platform while working closely with enterprise customers. Required skills and technologies include Python, RAG and agentic applications using ReAct or Plan-and-Execute patterns, frontier LLM stacks, vector databases, orchestration frameworks, and evaluation methodologies for accuracy, safety, and latency.
Forward Deployed Engineer, Infrastructure Specialist for UK Public Sector, focusing on enterprise AI workspace platform deployment. Responsibilities include leading end-to-end deployments in private cloud and on-premises environments, partnering with enterprise IT teams on security and infrastructure, and designing tailored deployment strategies. Requires experience with enterprise software deployment, large-scale Kubernetes clusters, Helm, DevOps practices, CI/CD pipelines, cloud infrastructure on Azure, AWS, or GCP, networking, and virtualization.
A senior full-stack engineer on the North Admin team, working on the AI workspace platform to build features, develop autonomous agents for enterprise data, and productionize state-of-the-art models. The role involves writing minimal code for low-resource environments with stringent security mechanisms, using Python and React. Requirements include experience shipping full-stack production code, building performant RAG or agentic applications, and working across the stack.
Customer Success Manager - Public Sector & Defense, France, responsible for leading strategic government accounts and driving AI adoption and implementation across French public sector organizations. Owns customer success, retention, and growth while navigating complex regulatory compliance, secure environments, and public procurement processes. Requires 8+ years in customer success or consulting, deep expertise in the French government landscape, an active Confidentiel-Défense security clearance, and fluent French proficiency.
Customer Success Manager - UAE in the enterprise AI domain, responsible for leading strategic accounts, driving AI adoption and implementation, managing executive relationships, and ensuring customer value realization in the UAE and regional private sectors. The role requires expertise in AI/לית implementations, regulatory compliance, change management, and bilingual proficiency in Arabic and English.
Account Executive, META for enterprise AI. Owns the full sales cycle for strategic enterprise and public-sector organizations across the META region, driving net-new customer acquisition, executive engagement, and long-term partnerships. Requires 10+ years of enterprise B2B sales experience closing complex deals in META, experience selling enterprise technology solutions or AI/NLP products, and Arabic and English language proficiency.
Solutions architect for the UAE region, responsible for driving the adoption of enterprise AI and foundational models by partnering with account executives and leading customer pilots and deployments. Owns the technical relationship with enterprise and government customers, translating business objectives into technical solutions and collaborating with product and engineering teams. Requires experience in customer-facing technical pre or post-sales roles, foundational machine learning concepts, generative AI understanding, Python, assistive coding tools, and native-level Arabic.
Member of Technical Staff, North Modelling (Evals) for enterprise AI workspace platforms. Owns evaluation strategy, feedback loops, and applied modeling workflows to measure and improve LLM-powered and agent-powered enterprise products. Requires skills in machine learning engineering, LLM evaluation, data curation, failure analysis, and model selection.
Senior Director, Solutions Architecture, APAC for enterprise AI and foundation models in the Asia-Pacific region. This role owns the regional Solutions Architecture team, drives technical wins for enterprise customers in banking, telecommunications, and government, and leads secure, regulated AI deployments across cloud, hybrid, VPC, and on-premises environments. Requires 15+ years in solutions architecture or engineering with 7+ years in leadership, deep expertise in large language models, agentic systems, and enterprise security, and strong commercial acumen partnering with sales leadership.
Member of technical staff - RL environments building realistic reinforcement learning environments to train and evaluate enterprise AI agents. Responsibilities include designing tasks and data, implementing verifiers and reward designs, building synthetic data pipelines, and analyzing agent performance and failure points. Requires experience engineering agents, optimizing use cases, reviewing trajectories, and working with reward designs and annotation workflows.
Member of technical staff, multilingual, working on cutting-edge multilingual AI and large language models in natural language processing. The role involves designing scalable solutions for multilingual LLM performance, large-scale data processing, ML pipeline development, publishing research, and mentoring junior team members. Requires expertise in Python, a PhD in Computer Science or Linguistics or equivalent experience, and a deep understanding of NLP fundamentals and multilingual data challenges.
Government affairs lead for the Middle East, responsible for establishing and strengthening Cohere's presence across the UAE, Saudi Arabia, and GCC countries by shaping AI policy, digital transformation, and public-sector innovation initiatives. The role involves stakeholder engagement with regulators, policy advocacy, supporting public-sector sales, and monitoring regulations related to AI, cloud computing, and data governance. Requires 7+ years of experience in government affairs, public policy, or regulatory affairs, with a strong understanding of the Middle Eastern regulatory landscape and proficiency in English and ideally Arabic.
A Data Engineer on Data Foundations within the Analytics & Data Insights team who builds foundational infrastructure and data processing systems for AI applications. Day-to-day responsibilities include designing large-scale data systems, running implementations end-to-end, and partnering across departments to transform unstructured data into performant datasets. The role requires experience with production-grade data processing, Python, SQL, distributed frameworks like Apache Beam, Spark, or Flink, relational databases, blob storage, and modern analytics stack tooling such as BigQuery, Airflow, or dbt.
A member of technical staff, agentic environments on AI and machine learning infrastructure. Day to day, they design and write scalable software for model training, develop tools for research, experiment with frontier models on clusters, and coordinate with engineering and scientific teams. The posting requires strong software engineering skills, proficiency in Python, and experience with PyTorch, JAX, XLA/MLIR, distributed training strategies, Kubernetes, and Ray.
Strategic Account Executive - Energy (Oil and Gas) & Utilities. Owns the full sales cycle from prospecting to closing transformational multi-year SaaS deals and managing deployment for Global 2000 enterprises in the energy and utility sectors. Requires extensive B2B sales experience, consultative selling of complex technical or AI products, network development, and a deep understanding of industry-specific regulations and operations.
Software engineer, integrations on the North AI workspace platform. Owns the end-to-end integration pipeline, building new tools and third-party integrations, creating evaluations and tests, and tuning tool descriptions. Requires experience shipping production code, building integrations against external APIs, and evaluating agentic systems or prompt engineering.
A French-speaking Business Development Representative focused on enterprise AI solutions. The role involves identifying, qualifying, and nurturing high-potential leads through outbound calls and emails, running sales cycles, and documenting interactions using Salesforce and LinkedIn Sales Navigator. The position requires experience in business development, SaaS or tech sales, CRM tools, and native or fluent French communication skills.
Head of Sales, Defense & Intelligence, EMEA leading go-to-market growth and enterprise customer acquisition strategies for the public sector in the EMEA region. This role involves managing the sales team, developing regional partnerships, and driving revenue growth for AI technologies. The posting requires over 10 years of public sector sales and leadership experience, an established regional network, consultative solution sales expertise, and fluency in both English and German.
A business development representative in the enterprise AI domain, driving revenue growth by identifying, qualifying, and nurturing high-potential leads for enterprise AI solutions and scalable language models. Day-to-day responsibilities include conducting outbound calls and personalized emails, using CRM platforms like Salesforce, qualifying leads with the BANT framework, and running independent sales cycles. The posting requires 2+ years of sales or business development experience in a SaaS or tech environment, native or fluent Arabic speaking skills, familiarity with CRM tools, and a basic understanding of natural language processing and AI concepts.
Account Executive, SLED (West). This role focuses on driving net-new customer acquisition, managing the full sales cycle, and building strategic partnerships with State, Local, and Higher Education customers in the Western United States. The candidate will sell AI, SaaS, or enterprise software solutions while leveraging deep knowledge of SLED procurement cycles, government decision-making processes, and regional channel networks.
A Data Annotation Specialist, Generalist evaluates, stress-tests, and improves large language models by labeling, ranking, auditing, and correcting multimodal data. Day to day, they complete preference tasks, write justifications, create training datasets, and build rubrics for text, image, and structured formats. The role requires experience in AI data annotation, LLM evaluation, or content moderation, along with strong analytical skills, attention to detail, and familiarity with structured data formats like JSON, CSV, and Markdown.
Technical Program Manager, AI Delivery for Public Sector & Defence, UK. This role involves leading end-to-end technical program delivery for UK public sector and defence accounts, translating complex government requirements and security standards into actionable engineering plans, and collaborating with cross-functional teams to deploy AI solutions. Requirements include 6+ years of experience in technical or engineering program management within AI/ML or enterprise software delivery, experience with government or regulated customers, understanding of modern AI technologies like LLMs and RAG, and eligibility for UK government security clearance.
A Technical Program Manager, AI Delivery in Korea who manages customer-facing technical delivery and operations for enterprise-grade AI software and machine learning solutions. They communicate with stakeholders, optimize strategies, plan and execute schedules, and resolve cross-functional issues. The posting asks for at least 5 years of experience as an Engineering or Technical Program Manager with customer-facing delivery focus, and knowledge of LLM training or optimization.
Technical Program Manager, AI Delivery for Public Sector & Defense, France leading end-to-end technical program delivery for public sector and defense accounts in Europe. They own deployment, scaling, compliance translation, and stakeholder communication for frontier AI models in air-gapped, on-premises, and regulated environments. Requires experience in AI/ML consulting, enterprise software delivery, French citizenship, and security clearance.
A Data Annotation Specialist, Data Science evaluates data science and coding tasks by reviewing and debugging code, analyzing model trajectories, and assessing data visualization script development and logical flow implementation. Day to day, they prompt models to complete complex data science tasks, review generated responses, and label, proofread, and improve software engineering outputs. The role requires 3+ years of industry experience in data science problems and pipelines, proficient knowledge of Python and data science packages like numpy and pandas, strong SQL skills, and familiarity with data formats and code review.
Senior research engineer on safety tooling and data. Owns the cohesive vision of tooling repositories and data infrastructure for real and synthetic data synthesis, analysis, and management used in model training and evaluation. Designs robust data pipelines, data validation processes, and systematic analysis frameworks. Requires strong software engineering skills, statistics, Python, ML frameworks like PyTorch, and Big Data Analytics tools such as BigQuery and SQL.
Product Manager, Integrations for the North agentic AI platform. Owns the end-to-end integrations surface, ecosystem strategy, roadmap, and underlying platform capabilities such as connector frameworks, auth, and data sync. Requires 5+ years in product management focusing on platforms, APIs, integrations, or developer products, along with technical fluency in APIs and integration architecture and experience with AI-first products.
A Senior Member of Technical Staff, Web Data specializing in pre-training for advanced language models. Day to day, you own and maintain large-scale web data pipelines for extraction, parsing, deduplication, and filtering, and analyze web data composition and quality to improve downstream model performance. The posting requires strong software engineering skills in Python, experience with data processing frameworks like Apache Spark, Apache Beam, or Pandas, and background working with large-scale web datasets.
Software engineer, data infrastructure on the Data Infrastructure team, building and operating a distributed storage system for AI model training and evaluation. Day-to-day responsibilities include designing unified storage layers to serve petabytes of training data and model checkpoints across Kubernetes clusters, and solving networking, I/O, and consistency challenges. The role requires strong storage fundamentals, coding ability in Python or Go, experience running stateful systems on Kubernetes, and familiarity with cloud object storage and POSIX-style filesystems.
A machine learning intern/co-op on foundation AI models and end-to-end products. Day-to-day work involves designing, training, and improving cutting-edge large-scale models, building deployment pipelines, exploring continual and active learning, and developing safer, faster training and serving techniques. Requires proficiency in Python, ML frameworks like TensorFlow and JAX, large-scale distributed training strategies, Transformers, and a passion for applied NLP.
Forward Deployed Engineer, Agentic Platform (Europe) working on the North AI workspace platform. The role involves designing, building, and deploying LLM-powered agentic workflows and full-lifecycle features, collaborating directly with enterprise customers to solve complex business problems. Required skills and technologies include Python, RAG and agentic applications, LLM stacks, vector databases, orchestration frameworks, and evaluation methodologies.
Research intern on large language models and artificial intelligence. Conducts cutting-edge machine learning research, builds and trains large language models, and contributes to research initiatives such as base model training, retrieval augmented generation, safety, and finetuning. Requires Python, C, C++, PyTorch, JAX, or TensorFlow, along with familiarity with Transformers and large-scale distributed training strategies.
A Software Engineer Intern on machine learning models and NLP products who designs and implements user-facing features, API platform capabilities, data pipelines, scalable services, and internal tooling. They utilize frontend, backend, full-stack, and infrastructure technologies to push code to production.
Data Annotation Specialist, Engineering (civil, mechanical, electrical, chemical). This role breaks down engineering tasks such as reporting, component search, and material billing into steps for tool use to train enterprise AI models. Responsibilities include evaluating model responses to engineering procedures, tasking models with engineering workflows, and labeling, proofreading, and improving engineering-related outputs using 3+ years of engineering experience and CAD software knowledge.
Lead Data Scientist on the Analytics and Data Insights team. You will own the full analytical lifecycle, designing experimentation programs, building predictive models for forecasting and segmentation, shaping go-to-market and product strategy, and leading a team of analysts and data scientists. Requires strong command of SQL, Python, and Git, alongside deep expertise in statistical inference, experimental design, and predictive modeling, as well as experience leading analytics or data science teams.
Senior member of technical staff in safety and security for agents, focusing on large language models (LLMs) that access external resources and take actions. Responsible for data generation, post-training algorithms, evaluation methods, designing data collection tasks, analyzing datasets for quality and bias, and training LLMs on distributed infrastructure. Requires strong statistical and software engineering skills, experience with human annotators, and proficiency in Python, PyTorch, TensorFlow, or JAX.
A solutions architect - public sector for enterprise AI and NLP solutions, responsible for leading technical pre-sales and post-sales engagements, building proof of concepts, and serving as a trusted technical advisor to public sector stakeholders. The role requires security clearance, 5+ years of customer-facing technical pre/post sales solutions architect experience, 2+ years architecting or deploying NLP, AI, or LLM solutions, and proficiency with Python and Jupyter Notebooks, with preferred experience in Kubernetes, networking, and authentication protocols.
Product Manager, Agent Harness & Modelling who owns the agent runtime, context engineering layer, and model-scaffolding co-evolution for an agentic AI platform. Day to day responsibilities include defining the execution roadmap, managing tool orchestration and sandboxed code execution, and acting as the bridge between engineering and ML research teams. The role requires experience in product management for agentic AI systems or applied ML, deep technical understanding of LLM agent architectures and evaluation design, and the ability to contribute to architecture decisions.
Forward Deployed Engineer, Agentic Platform working on the North AI workspace platform. This role involves designing, building, and deploying production-grade agentic workflows and large language model applications that integrate with enterprise tools, APIs, and data sources. The position requires skills in Python, RAG and agentic applications, LLM stacks, and evaluation frameworks, while working directly with enterprise customers.
Site reliability engineer, inference infrastructure on the Model Serving team. Owns developing, deploying, and operating the AI platform delivering large language models via API endpoints, building self-service and automation systems, ensuring SLOs, and managing infrastructure. Requires skills in Kubernetes, GPU workloads, distributed systems, cloud platforms (GCP, Azure, AWS, OCI), Linux environments, and programming languages such as Golang or C++.
Staff Software Engineer, Inference Infrastructure for large language models and NLP applications. You own developing, deploying, and operating the AI platform for API endpoints in low latency, high throughput, and high availability environments, as well as creating customized customer deployments. Requires 5+ years of engineering experience with production infrastructure at scale, large distributed systems, Kubernetes, GPU workloads, cloud and hybrid environments, Linux, resource cost management, and programming languages like Golang or C++.
Member of technical staff in data analysis and evaluation for large language models. The role owns designing data collection tasks, assessing dataset quality, analyzing model robustness, and training models on distributed infrastructure. Requires software engineering, statistics, experimental design, Python, PyTorch, TensorFlow, and JAX.
A Senior ML Systems Engineer, Frameworks & Tooling who designs, maintains, and evolves training frameworks, distributed training abstractions, and high-performance pipelines for frontier-scale language models. The role involves improving training throughput and stability on multi-node clusters, building developer tooling, and resolving performance bottlenecks. It requires experience in large-scale distributed training or HPC systems, JAX internals, cluster orchestration like Slurm or Ray, CUDA/NCCL debugging, and containerized environments.
Senior Member of Technical Staff, Synthetic Data developing synthetic data pipelines for advanced language models. Responsibilities include end-to-end data management, optimizing pipelines, data generation, data ablations, and model evaluation. Requires strong software engineering skills in Python, data processing frameworks like Apache Spark or Pandas, experience with LLMs and inference frameworks such as vLLM and TensorRT, and working with large-scale web and code datasets.
A member of technical staff on sovereign AI who designs, builds, and scales agentic AI systems for mission-critical use cases and ships state-of-the-art models to production. The role involves researching, implementing, and experimenting with ideas on supercompute and data infrastructure, executing across the full AI stack, and writing production code. The position requires strong software engineering skills, proficiency in Python and machine learning frameworks, experience training and evaluating large language models, and familiarity with large-scale distributed GPU training strategies.
Audio Inference Engineer, Model Efficiency. You will build reliable machine learning systems and optimize audio inference serving efficiency, focusing on real-time and streaming audio workloads. Responsibilities include advancing core audio model serving metrics like latency, throughput, and quality by collaborating with training and serving infrastructure teams. The role requires C++ and Python proficiency, experience with high-performance audio or ML inference systems, and deep learning models for audio, speech, or language.
A staff research engineer, model efficiency, who develops, prototypes, and deploys techniques to improve large language model inference speed and efficiency in production. The role involves working on model architecture, Mixture of Experts routing optimization, decoding algorithms, software and hardware co-design for GPU acceleration, and performance optimization. Candidates must have a PhD in machine learning or a related field, strong software engineering skills, LLM architecture understanding, experience with model efficiency techniques, and publications at top-tier conferences.
Member of Technical Staff, Model Efficiency focusing on pushing the boundaries of LLM inference efficiency and building reliable ML systems. Day to day, you work across the inference stack to improve core performance metrics, identify bottlenecks, and develop optimizations to accelerate inference for large language models. The role requires experience writing high-performance production code in C++ or Python, familiarity with the LLM inference ecosystem, and skills in GPU programming, CUDA, and distributed systems optimization.
Senior research scientist, model evaluation for large language models. The role involves creating next-generation evaluation methods, ambitious benchmarks, scalable and reusable performance tools, and conducting research to advance LLM evaluation techniques such as training LLM judges and refining data synthesis pipelines. The position requires strong software engineering skills and experience building prototypes and measuring LLM capabilities.
Member of Technical Staff, Agent Code for code-generating large language models and autonomous agent systems. The role involves researching, designing, and implementing scalable strategies to train code models, deploying agent frameworks, creating SFT trajectories, and working on RL algorithms. Requires a PhD in Computer Science or Machine Learning, expertise in code LLMs, and strong software engineering skills in Python and PyTorch or TensorFlow.
Member of Technical Staff, Integration/RL Team (Research Engineer) working on large language model post-training, distributed reinforcement learning algorithms, and infrastructure. Day-to-day responsibilities include designing scalable software for training models, developing research tools, coordinating with engineering and scientific teams, and implementing performance improvements for SFT, offline preference, and RL regimes. Requires strong software engineering skills, test-driven development, proficiency in Python and ML frameworks like JAX or PyTorch, and experience with large-scale distributed training strategies.
A member of technical staff on pre-training data for advanced language models, responsible for conducting data ablations, building data pipelines, and constructing pre-training data mixtures to enhance model performance. Day-to-day work involves developing data modeling techniques, curating large-scale datasets, and improving training efficiency and throughput. Requires strong software engineering skills in Python, experience with data processing frameworks like Apache Spark, Apache Beam, or Pandas, and familiarity with curriculum learning and data curation.
Member of technical staff in post-training bridging the gap between research and production for enterprise AI foundation models. Day-to-day responsibilities include designing and writing scalable software for training models, post-training models to reach state-of-the-art performance using SFT and RL regimes, and coordinating with specialist teams. Requires strong software engineering skills, proficiency in Python, ML frameworks such as JAX, PyTorch, and XLA/MLIR, and experience with distributed training infrastructures and large-scale model training.
A member of technical staff and training infrastructure engineer focused on enterprise AI models and training pipelines. Day-to-day responsibilities include designing and writing scalable software for training, improving codebase performance, crafting tooling to speed up training cycles, and experimenting on supercompute infrastructure. The role requires strong software engineering skills, proficiency in Python, ML frameworks like JAX, PyTorch, and XLA/MLIR, and experience with distributed training infrastructures such as Kubernetes, Slurm, and Ray.
Member of technical staff, training performance engineer on the pre-training team. The role focuses on optimizing the performance of advanced language models by improving training throughput, accelerator utilization, and removing bottlenecks. The position requires strong software engineering skills, proficiency in Python, ML frameworks like PyTorch, JAX, and XLA/MLIR, experience writing low-level CUDA and Triton kernels, large-scale distributed training strategies, and familiarity with Transformers.
Senior Member of Technical Staff, Multimodal AI. The role involves designing and developing cutting-edge multimodal AI systems, tuning and optimising large multimodal models, and conducting research in multimodal representation learning. The position requires strong software engineering skills in Python, experience with deep learning frameworks like JAX, PyTorch, and TensorFlow, distributed training strategies, and familiarity with autoregressive models for multimodal tasks.
Member of Technical Staff, Modeling. Responsible for designing and implementing novel research ideas, shipping state-of-the-art models to production, and building and scaling AI systems for users using supercompute and data infrastructure. Requires strong software engineering skills, proficiency in Python and ML frameworks like TensorFlow, JAX, and XLA/MLIR, experience with GPU kernels using CUDA and large-scale distributed training, and familiarity with Transformers and autoregressive sequence models.