Qodea

Marketing Operations

• Lead day-to-day execution of demand generation and attraction strategies.
• Design, manage, and execute email nurturing campaigns and inbound lead flows.
• Support the lead generation engine while hitting Lead, MQL, and SQL targets.
• Use marketing collateral to attract and engage with target audiences.
• Lead the coordination, design, and operation of trade shows and bespoke events.
• Ensure event intelligence is captured, clean, and actionable.

Marketing Operations Manager

Full-stack Engineer

• Takes ownership of assigned tasks, delivering results independently while coordinating effectively with the team.
• Follows established processes and best practices, ensuring consistency, quality, and compliance across deliverables.
• Applies technical expertise to troubleshoot complex issues, implement fixes, and support daily operations.
• Delivers work on schedule, meeting deadlines and escalating challenges when necessary.
• Builds familiarity with team solutions and implementations, enabling effective maintenance and informed improvements.
• Implements features or fixes, ensuring code quality, reliability, and alignment with team standards.
• Collaborates with fellow engineers to translate requirements into technical designs and ensure delivery aligns with specifications.
• Identifies opportunities to improve code quality, enhance performance, and optimize implementations, and applies these improvements in day-to-day development tasks.
• Committed to maintaining accurate and accessible documentation
• Participates in project meetings and Scrum ceremonies, providing updates, technical insights, and contributing to planning and discussions.
• Follows change management and deployment processes, ensuring safe delivery to staging and production environments.

Software Engineer

Client Partner

• Promote Google Cloud products, professional services engagements and managed service agreements to strategic and Enterprise-level organisations.
• Define and execute multi-year strategic account plans for your portfolio, securing annual renewals and significant expansion deals.
• Cultivate and maintain C-suite and VP-level relationships within assigned accounts, acting as a trusted business consultant.
• Lead the planning, approach, and negotiation of complex, multi-solution proposals and pitches.
• Act as the point of escalation for commercial or delivery risks across the Client Partner team, providing resolution and guidance.
• Mentor and coach more junior Client Partners on account strategy, complex negotiation, and large-scale project delivery.
• Regularly update the CRM system with the details of your accounts and strategic opportunities.
• Work with the Professional Services team to successfully deliver projects to partners and customers.

Senior Client Partner

Account Manager

• Google Cloud Partner Manager to be the primary bridge between Qodea and Google Cloud’s UKI organisation.
• Align Qodea’s unique capabilities with Google’s strategic goals.
• Drive mutual growth through a deep understanding of the Google Partner Network program and co-selling methods.

Cloud Partner Manager

Customer Support

• Reduce the administrative workload of the sales team by managing high volume tasks.
• Ensure smooth operational support across renewals, licensing, financial administration, and quote management.
• Allow the sales team to focus on high value client interactions.
• Enable the sales team to focus on strategic client engagement by ensuring operational efficiency and timely execution of administrative tasks.

Sales Support Specialist

Backend Engineer

• Join an exclusive roster of talent solving problems that don't have answers yet.
• Lead the design and development of full-stack applications using Java and React.
• Act as both a technical consultant and a hands-on developer.
• Shape the direction of projects while mentoring junior engineers.
• Prepare for a future lead position.

Principal Software Engineer – Full Stack, Java, React

Platform Engineer

• Design and implement scalable, reliable, and cost-effective cloud solutions using Google Cloud Platform services and products.
• Analyse business requirements and recommend appropriate cloud technologies and architectures.
• Develop and maintain cloud infrastructure code using tools such as Terraform or Google Cloud Deployment Manager.
• Manage and automate the deployment, scaling, and management of cloud infrastructure using tools such as Kubernetes or Google Cloud Deployment Manager.
• Optimise infrastructure costs by analysing usage and implementing cost-saving measures such as reserved instances or instance rightsizing.
• Implement infrastructure-as-code practices to ensure consistency, repeatability, and version control of cloud infrastructure.
• Implement and maintain security controls and policies to ensure the confidentiality, integrity, and availability of cloud infrastructure and data.
• Monitor and respond to security incidents and vulnerabilities, and perform regular security assessments and audits.
• Ensure compliance with industry standards and regulations such as GDPR, HIPAA, and PCI DSS.
• Monitor cloud infrastructure and services for performance, availability, and security issues using tools such as Stackdriver or Prometheus.
• Perform root cause analysis and troubleshoot issues related to cloud infrastructure and services, and implement corrective actions and preventive measures.
• Continuously improve the reliability and resilience of cloud infrastructure by implementing best practices such as fault-tolerance, redundancy, and disaster recovery.
• Proactive management of customer related tasks and projects, by applying the learned skills and knowledge.
• Proactiveness in: identifying and suggesting improvements where applicable, detecting missing documentation and filling in the gaps.
• Providing technical support whilst attending meetings with stakeholders as needed.
• Acting as a mentor for the more junior colleagues by sharing your knowledge and expertise, and guiding them through the successful resolution of customer related tasks.

Data Scientist

• Lead the exploratory analysis and data investigation to identify new features and modeling opportunities for personalization, ranking, and contextual nudges.
• Design, prototype, and validate a wide range of machine learning models, with a deep focus on algorithms for Next Best Action (NBA) and Learning to Rank (LTR).
• Apply your expertise in statistical analysis, causal inference, and experimental design to build and interpret robust A/B testing frameworks, ensuring model improvements are statistically significant.
• Formulate and test hypotheses in an ambiguous problem space, demonstrating a "fail-fast" and iterative approach to model development.
• Collaborate closely with ML Engineers to define model requirements, feature needs from feature stores, and scalable serving logic.
• Research and adapt cutting-edge academic techniques in machine learning, recommendation systems, and optimization to solve real-world business challenges.
• Prototype models for marketing technology use cases, leveraging customer attributes from diverse sources (like Oracle) to prove potential uplift.
• Communicate complex findings and model mechanics clearly to both technical and non-technical stakeholders.

Senior Data Scientist – Personalisation

Consultant

• In this Lead Delivery Consultant role you will lead the end-to-end delivery of complex technology and transformation programmes, ranging from infrastructure migrations and data platform builds to multi-workstream custom application delivery, ensuring tangible outcomes are shipped into production quickly and sustainably.
• You will be accountable for protecting commercial margins, negotiating and managing commercial agreements, establishing scalable delivery templates, processes and governance, and influencing senior client and internal stakeholders to drive decisions and clear blockers.
• Working closely with Sales, Finance, technical leaders and delivery teams, you will mentor and develop less experienced project managers, drive continuous improvement across the Project Delivery function, and ensure every project meets Qodea’s high standards for quality, velocity and client impact.

Lead Delivery Consultant

AI Engineer

• Work where work matters.Elevate your career at Qodea, where innovation isn't just a buzzword, it's in our DNA.
• You will join the exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work.
• Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you’ll be proud to tell your friends about.
• **Due to several significant client wins, we are looking to connect with Senior AI Engineers** to design, build, and productionise autonomous, agentic AI systems that deliver measurable product and business outcomes. You will translate high-level objecives into reliable, safe, and efficient agent architectures using LLMs, retrieval, and orchestration layers.
• We look for people who embody:
• **Innovation** to solve the hardest problems.
• ‍**Accountability** for every result.
• ‍**Integrity** always.
• We believe our best work happens when we connect. While we operate a flexible model, we expect you to spend 60% of your time on-site at our London office or a client location for collaboration sessions and workshops.
• About the role.
• - Architecting Autonomy: Design and implement agentic AI architectures, including LLM-driven agents and executors, to solve product-level problems.
• - GCP Integration: Integrate agent stacks with Google Cloud Platform services like Vertex AI and BigQuery to establish scalable deployment patterns.
• - End-to-End Ownership: Develop and own pipelines for model training, fine-tuning, and retrieval-augmented generation (RAG).
• - Performance and Safety: Define evaluation metrics for performance and correctness while implementing robust safety guardrails and content filtering.
• - Strategic Collaboration: Work closely with product managers and engineers to translate requirements into deliverable solutions.
• - Mentorship: Mentor engineers and share best practices for agent design and GCP operations.