General Manager - Agent Process Engineering

Dataiku serves as the ultimate Platform for AI Success, providing an enterprise orchestration layer designed for the building, deploying, and governing of AI. In a unified environment, teams can design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control that enterprises demand. Operating above data platforms, cloud infrastructure, and AI services, Dataiku integrates the entire enterprise AI stack—enabling organizations to execute AI across varied vendor environments with centralized governance.Over the last decade, Dataiku has been a key partner for global enterprises aiming to industrialize AI—merging their data, compute, and model ecosystems into governed, scalable operations. Each technological advancement, from machine learning to generative AI, has reinforced our position as the orchestration layer that unifies data infrastructure, business processes, and human expertise.As we transition into a new era of enterprise transformation, AI is evolving from experimental phases to become a core component of how organizations make decisions, act, and generate value. The strategic imperative for every large corporation is to ensure that this new layer of reasoning—the fusion of analytics, models, and agents that drive daily decisions—aligns with its own strategy, governance, and culture, rather than being dictated by external influences.This principle underpins what we refer to as Enterprise Reasoning: a discipline that harmonizes human and machine intelligence throughout the organization. It instills a company’s decision-making logic, controls, and values within its AI systems from the top down, while integrating analytics, predictive models, and generative agents into a single adaptable, governed framework from the bottom up. Ultimately, this approach revolutionizes decision-making processes and operational execution through profound integrations of human and agent capabilities.

About DecagonDecagon stands at the forefront of conversational AI, empowering brands to deliver exceptional concierge-level customer experiences. Our innovative technology enables prominent enterprises such as Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy intelligent AI agents that facilitate personalized and engaging interactions across various channels, including voice, chat, email, and SMS.We are crafting a future where customer interactions are transformed from mere support tickets and hold music into swift resolutions and rich conversations, fostering deeper relationships. Supported by leading investors such as a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, we are committed to this vision.As an in-office company, we thrive on a culture of excellence and speed, guided by our core values: Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle.About the TeamThe Agent Software Engineering team at Decagon is dedicated to deploying cutting-edge conversational AI agents that impact millions of users and drive our growth. You will lead a team in enhancing our industry-leading AI platform, collaborating closely with customers and leveraging your creativity to develop scalable solutions that meet their evolving needs.Our mission is to create enchanting support experiences where AI agents work in tandem with human agents to resolve user issues effectively.About the RoleAs we expand with a new office in London, Decagon is seeking an Engineering Manager to establish and cultivate its culture from the ground up. In this pivotal role, you will have full ownership and autonomy in delivering top-tier AI agents, overseeing everything from initial implementation to ongoing refinement. You will engage directly with leaders across diverse sectors such as finance, healthcare, and hospitality, addressing their users’ needs with reliable and intuitive AI solutions.Our engineers take pride in owning their projects from start to finish and are empowered to make a significant impact. This position is ideal for someone eager to mentor junior engineers, tackle complex system challenges, and craft elegant, scalable solutions for millions of users.

About UsAt Cohere, our mission is to amplify intelligence for the benefit of humanity. We are at the forefront of training and deploying advanced models that empower developers and enterprises to create innovative AI experiences, including content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. Our work is pivotal in driving the widespread integration of AI technologies.We are passionate about our creations and each team member plays a critical role in enhancing our models' capabilities and the value they deliver to our clients. Our work culture is fast-paced and dedicated to optimizing customer satisfaction.Cohere's diverse team of researchers, engineers, designers, and industry experts share a common passion for excellence. We value a variety of perspectives as essential to crafting exceptional products.Join us on this exciting journey to shape the future of AI!Why Join Our Team?The Next Generation Agents team is pioneering the development of agentic large language models (LLMs) that are being adopted across enterprises via Cohere’s North platform. We are dedicated to exploring innovative modeling techniques that enhance agent capabilities, such as deep research, experiential learning, continual learning, and memory integration. Our empirical research approach focuses on creating solutions that surpass current state-of-the-art methodologies, ensuring added value for our customers.In this role, you will drive the exploration and development of cutting-edge agentic techniques. You'll have the opportunity to create the models that underpin our agentic solutions, including the development of data-generation techniques for post-training (SFT and RL*) for Cohere’s models.Please Note: We maintain offices in London, Paris, Toronto, San Francisco, and New York, and we are committed to a remote-friendly approach! This team primarily collaborates within the ET to CET time zones, so we encourage candidates located in these areas for effective teamwork.As a Technical Staff Member for Next Generation Agents, you will:Design and implement innovative agentic solutionsEnhance existing capabilities on challenging agentic tasksInvestigate the future of online learning and self-improvement techniquesCollaborate with interdisciplinary teams (Reasoning, Post-training, Pre-training, etc.) to boost the performance of agentic systemsConduct empirical research to advance agentic technologies

About Our TeamThe Training Runtime team is responsible for developing the essential distributed runtime that supports everything from early-stage research projects to large-scale model training. Our focus is on creating robust, scalable, and high-performance components to enhance our distributed training capabilities. We aim to optimize the productivity of our researchers and hardware, contributing to the advancement of Artificial General Intelligence (AGI).Within our team, the Process Management division creates the distributed operating system that orchestrates and monitors the multitude of processes involved in contemporary training tasks. Our runtime operates beneath various training frameworks and above research infrastructures, ensuring reliable job execution across expansive clusters while prioritizing performance, stability, and observability.We measure our success through system reliability and the speed at which researchers can turn ideas into production training runs.About the PositionAs a Process Management Engineer specializing in Training Runtime, your role will involve developing software that integrates thousands of computers into a cohesive system. This system must cater to individual researchers conducting numerous parallel experiments, as well as facilitate our largest training operations, which may involve hundreds of thousands or even millions of machines and accelerators. Therefore, it is essential to create user-friendly, introspectable systems that support quick debugging and development while ensuring ongoing optimization for scalability without sacrificing stability and performance.Your primary programming language will be Rust, where you will build high-performance asynchronous systems with a particular focus on performance, accuracy, and scalability.Working at this scale and within the cutting-edge field of AI development presents unique challenges. Conventional solutions may not be effective, and the issues you tackle will be complex and require strong design intuition and effective execution to enhance our infrastructure.We seek individuals passionate about optimizing end-to-end platforms and understanding high-performance architectures to maximize both local and distributed performance across our supercomputers. We are looking for engineers who thrive in a fast-paced environment and can respond to the dynamic and evolving requirements of our training runtime and computational framework.This role is based in London, UK, and follows a hybrid work model, requiring three days in the office each week. We also provide relocation assistance for new hires.

About the Role vega is looking for an AI/Agent Engineer in London. This position focuses on designing and building intelligent agents that address complex challenges. Work will directly support the advancement of AI solutions across the company.

Assala Energy is an Oil and Gas Exploration and Production company focused on the sustainable development of assets in Gabon. The team values collaboration, diversity, safety, and integrity in every aspect of its work. Role Overview The London Projects team seeks an experienced Process Engineer to provide process engineering expertise across conceptual, FEED, and detailed design phases. This consultant role emphasizes late-life asset development and optimization. Main Responsibilities Field Development Develop and assess new development concepts using current production and geoscience data. Support cost estimation and help guide concept selection. Lead process design from initial concept to start-up. Prepare and review process engineering deliverables to keep projects moving forward. Offer technical input for vendor and contractor packages, and evaluate their outputs. Work closely with Operations and other disciplines to align efforts and achieve project goals. Contribute to project scheduling, cost estimation, and reporting. Present technical findings and recommendations clearly to stakeholders. Complete and hand over all process documentation at project closeout. Optimization Projects Analyze facility designs and operations for late-life assets. Identify and propose practical solutions to improve crude export performance. Document and progress improvement opportunities through process deliverables. Support selected solutions from concept through start-up, providing technical input and deliverables. Coordinate with Operations and other teams to maintain project clarity and momentum. Location This position is based in London, England, United Kingdom.

About UsAt Sierra, we are revolutionizing the way businesses engage with their customers through innovative AI solutions. Our mission is to craft exceptional, human-centric customer experiences. With our headquarters in San Francisco and expanding offices in London, Atlanta, New York, France, Singapore, and Japan, we are at the forefront of technology.Our corporate culture is deeply rooted in our core values: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These principles guide our actions and decisions, shaping a collaborative and empowering work environment.Led by co-founders Bret Taylor and Clay Bavor, Sierra is positioned for growth. Bret has an impressive background, having served as co-CEO of Salesforce and CTO of Facebook, while Clay has dedicated years at Google leading groundbreaking projects in AR/VR and product design.Your RoleArchitect and deploy state-of-the-art AI agents: You will be responsible for designing, developing, and launching high-performance AI agents that are pivotal to Sierra’s success, enhancing customer interactions across various sectors such as finance, healthcare, and e-commerce.Lead the Agent Development Life Cycle: Take full ownership of projects from inception to deployment and sustained enhancements, establishing best practices and ensuring the highest standards are met in AI development.Collaborate with industry leaders: Engage directly with top executives at major enterprises and dynamic startups, identifying their challenges and pioneering AI solutions that drive operational transformation.

Join our dynamic team at Sierra as an Engineering Manager - Agent in London. In this pivotal role, you will lead a team of engineers, driving innovation and excellence in the development of our cutting-edge technologies. You will be responsible for overseeing engineering projects, ensuring high-quality standards, and fostering a collaborative environment to enhance team performance.If you have a passion for engineering and leadership, we want to hear from you!

About Checkout.com Checkout.com helps businesses grow by making digital payments simple and reliable. Our platform powers transactions for well-known brands including eBay, ASOS, Klarna, Uber Eats, and Sony. When payments run smoothly, businesses succeed and customers return. Headquartered in London, Checkout.com operates from 19 offices across six continents. The team brings together people who value performance and innovation in fintech. At Checkout.com, each role shapes the future of financial technology. Role Overview: Process Architecture Manager The Process Architecture Manager will drive operational excellence within the Finance team. This position focuses on designing processes and building a scalable framework to support the global FinOps strategy. The manager will work closely with Finance leadership to spot inefficiencies and promote continuous improvement. What You Will Do Work with senior Finance leaders in areas like Accounts Payable, Treasury, Tax, and Accounting to identify operational challenges and prioritize high-impact initiatives. Create and roll out standards, methodologies, and toolkits to support consistent process improvement. Oversee the design of complex, cross-functional workflows that help financial operations scale. Define and track key operational KPIs, highlight areas for improvement, and ensure teams follow through on enhancements. Lead change management efforts for process re-engineering, supporting global teams as they adopt new workflows. What We Look For Experience in process architecture or a related field within a finance function. Strong analytical skills with a track record of addressing operational inefficiencies. Clear communicator who can influence stakeholders at all levels. Background in leading cross-functional teams and managing complex projects. This position is based in London.

Legal & General is hiring a Process Improvement Actuary in London. This position centers on reviewing and enhancing existing processes to strengthen operational efficiency and uphold high service standards. The focus is on identifying ways to make daily work smoother and supporting the rollout of better approaches. Key responsibilities Review current workflows and processes to identify opportunities for improvement Recommend changes that increase efficiency and maintain quality standards Apply actuarial knowledge to guide decisions and support ongoing process enhancements Role focus This role suits an actuary interested in process improvement and operational excellence. Expect to collaborate with colleagues to spot inefficiencies and help implement practical solutions across the business.

Join Our Innovative Team as a Senior AI Engineer (Agentic Systems)At StarCompliance, we are at the forefront of creating software solutions that address critical compliance needs for our global clientele. As we integrate AI as a fundamental capability throughout our software development lifecycle, we invite you to be part of this transformative journey.We are looking for a Senior AI Engineer to spearhead the practical implementation and expansion of AI-assisted and agentic engineering within our teams. This is a hands-on role where you will engage directly with real codebases, leveraging cutting-edge AI-native development environments (Cursor preferred) to revolutionize the software development process.Your mission will be to evolve AI from a mere tool into a fully embedded system that is repeatable and scalable. You will craft and execute playbooks, establish workflows, and define patterns that allow our teams to harness the power of parallel AI agents, facilitate autonomous code reviews, and create AI-driven delivery pipelines. Additionally, you will play a pivotal role in launching new initiatives, ensuring they are built on the right architecture and AI-enabled engineering practices from the outset.This position is part of our R&D Engineering team and collaborates closely with Platform, QA, and Product Engineering. Here, influence is gained through tangible delivery rather than hierarchy.Our Vision of AIWe view AI not just as an assistant, but as an integral component of our engineering ecosystem. We expect engineers in this role to embrace this perspective and drive our AI initiatives forward.

At Assala Energy, we are a forward-thinking Oil and Gas Exploration and Production company dedicated to sustainable asset development in Gabon. Our culture is rooted in collaboration, diversity, and an unwavering commitment to safety and integrity in all of our operations.Founded through strategic acquisitions, our portfolio comprises aging assets that bring both extensive operational experience and unique challenges. These include limited corrosion allowances, equipment performance degradation, evolving fluid compositions, and strict emissions regulations. While addressing symptoms may provide temporary relief, it often overlooks the underlying issues, leading to recurring challenges. We are seeking a seasoned and practical process engineer to deliver process engineering services across our sites, effectively diagnosing problems and proposing solid solutions.Your key deliverables will include:Gaining a thorough understanding of the design and specific characteristics of each asset.Conducting site visits to interface with the Offshore Installation Manager (OIM) and operators to pinpoint operational challenges.Creating a SMART (Specific, Measurable, Achievable, Relevant, Time-bound) framework to tackle identified challenges, prioritizing safety and production output.Proposing practical and actionable solutions.Facilitating necessary tests to validate the feasibility of proposed solutions.Effectively communicating findings and proposals to stakeholders.Collaborating with the process team based in Gabon or London to develop the selected solution.Providing operational support to the Gabon process team as needed.Reporting on activities to the London office as required.Collaborating with other disciplines to develop or implement proposed solutions.Supporting operations with high-priority process challenges focused on safety and production output.Assisting in process optimization for each asset.Offering technical input on operations-related projects as required.Adopting a pragmatic and progressive approach to resolving any critical issues that may arise.Please note that occasional travel to our sites in Gabon will be necessary.Requirements:Minimum of 10 years’ experience as a Process Engineer in late-life assets and in the Process/Petrochemicals Industry or onshore/offshore oil & gas operations.Fluency in both French and English.Proven track record of generating and implementing innovative and safe solutions to process engineering challenges.Hands-on operational site experience is essential.

As a General Manager at Atia Ltd, you will play a crucial role in shaping the strategic direction and operational excellence of our organization. Your leadership will be pivotal in driving growth, enhancing performance, and fostering a culture of innovation. You will collaborate across departments to ensure that our objectives are met and exceeded, while maintaining high standards of quality and service.

Egis Group is seeking Process Engineers with a focus on water and wastewater management for projects based in London. Open to candidates at any career stage, this position supports a range of initiatives designed to enhance water quality and promote sustainable practices. Role overview This role centers on designing, implementing, and refining treatment processes for water and wastewater systems. The work involves applying engineering knowledge to develop solutions that address both efficiency and environmental impact. What you will do Design and optimize water and wastewater treatment processes Support the implementation of effective solutions for water management Contribute to projects that improve water quality and sustainability Who should apply Candidates with experience or interest in water and wastewater engineering are encouraged to express interest, regardless of current career level.

Role overview Sanity is looking for a Senior Software Engineer, Content Agent, based in London, UK. This role centers on shaping how content is managed and delivered across a range of platforms. The main focus is building and refining Sanity’s content management system to meet evolving user needs. What you will do Collaborate with colleagues from various teams to design, develop, and improve the core content management system Contribute to technical decisions that influence the direction of Sanity’s platform Help ensure the system adapts to new requirements and remains effective for a diverse user base Requirements Creative approach to solving complex technical challenges Commitment to high standards and ongoing improvement Interest in teamwork and making a visible impact through your work

About UsAt Sierra, we are revolutionizing the way businesses enhance customer interactions through our cutting-edge AI platform. Headquartered in San Francisco, we are expanding our footprint globally with offices in Atlanta, New York, London, France, Singapore, and Japan.Our core values—Trust, Customer Obsession, Craftsmanship, Intensity, and Family—are deeply embedded in our culture and guide every aspect of our work, fostering a collaborative and innovative environment.Founded by industry leaders Bret Taylor and Clay Bavor, our team brings a wealth of experience from top tech companies, including Google and Facebook, ensuring we are at the forefront of AI technology.Your RoleDevelop Enterprise-Level AI Solutions: As a Product Manager, you will collaborate closely with engineers and clients to design and implement AI agents capable of managing thousands of customer interactions daily.Customer Engagement: You will interface with various stakeholders within client organizations to:Identify and evaluate their needs.Deliver compelling demonstrations of Sierra’s solutions.Address and resolve technical challenges by collaborating with technical teams.Enhance Sierra's virtual agents to align with client needs and workflows.Act as trusted advisors to influence strategic technical decisions.Influence Product Development: Partner with engineering and product teams to define and roll out new features that are pivotal to customer success.QualificationsA minimum of 5-7 years of experience in product management, particularly with complex technical products.Strong analytical skills and the ability to translate customer needs into actionable product features.Excellent communication and interpersonal skills to foster collaboration across teams.Proven ability to manage multiple projects and priorities in a fast-paced environment.

At Docker, we are dedicated to simplifying application development, allowing developers to concentrate on what truly matters. Our remote-first team is global, united by a shared passion for innovation and exceptional developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker stands as the leading tool for building, sharing, and running applications, trusted by both startups and Fortune 100 companies alike. We are in a rapid growth phase and just getting started. Join us for an exciting journey!As part of Docker's AI engineering team, you will play a pivotal role in shaping the future of containerized AI agents. Docker containers serve as the ideal platform to host and execute AI agents, providing isolation, portability, and reproducibility.You will contribute to Docker Agent, our open-source project (https://github.com/docker/docker-agent), enhancing it to empower developers to build, deploy, and scale intelligent agents using Docker's container technology.This position offers a unique greenfield opportunity to influence how developers utilize containers for AI agents at scale. You will collaborate with a team of experienced engineers and work closely with our sister teams focused on Ask Gordon and Docker's broader AI platform. This role combines cutting-edge AI techniques with container technology to address real-world developer challenges.Important Note: This position is only available to candidates currently residing in London (or within a reasonable commuting distance). We cannot make exceptions to this location requirement.

About Checkout.com Checkout.com powers the checkout experiences for major global brands including eBay, ASOS, Klarna, Uber Eats, and Sony. The company focuses on making online payments smooth for both businesses and their customers, helping brands grow while providing a seamless payment process. Headquartered in London, Checkout.com operates from 19 offices across six continents. The organization values innovation and performance, and offers opportunities for those looking to shape the future of fintech. Role Overview: Product Manager, Agentic Commerce This London-based role centers on building the infrastructure layer for AI-driven commerce. The Product Manager will define the strategy and roadmap for Agentic Commerce, with the long-term goal of taking on P&L responsibility. The position involves close collaboration with teams across the company to strengthen credential infrastructure and ensure agent-initiated payment flows are efficient, compliant, and reliable. A key responsibility will be developing the Know Your Agent (KYA) framework to maintain trust and resilience in new payment processes. This is a chance to help set the standards for agentic commerce protocols and establish Checkout.com as a protocol-agnostic infrastructure leader in this emerging space.

Role overview repriskag seeks a Lead Generation Manager based in London to oversee and expand lead generation efforts. This position manages a dedicated team focused on finding and developing new business leads. The role emphasizes the use of data and analytics to strengthen outreach and increase conversion rates. What you will do Manage and support a team responsible for sourcing and nurturing leads Use analytics and creative thinking to improve lead generation strategies Collaborate with sales and marketing teams to align objectives and drive higher conversion

Join us at Docker, where we revolutionize app development, allowing developers to concentrate on what truly matters. Our remote-first global team thrives on innovation and enhancing the developer experience. With over 20 million monthly users and 20 billion image pulls, Docker stands as the premier tool for building, sharing, and running applications—trusted by both startups and Fortune 100 companies. As we rapidly expand, we're just getting started. Come aboard and enjoy this exciting journey!We are seeking a Principal Software Engineer (Docker Agents) to join our AI engineering team to shape the future of containerized AI agents. Docker containers provide the ideal environment for hosting and executing AI agents, ensuring isolation, portability, and reproducibility. You will work on our open-source project, cagent (https://github.com/docker/cagent), and enhance it to empower developers in building, deploying, and scaling intelligent agents utilizing Docker’s container technology.This is a unique opportunity to influence how developers harness containers for AI agents on a large scale. You will establish the technical vision, spearhead architectural decisions, and collaborate with engineers and leaders across Docker to integrate containerized agent capabilities into the developer experience.