This role will partner across CI, Cat Digital, analytics, and regional teams to identify customer and business needs, develop recommendations and business cases, align stakeholders, and initiate priority projects that improve the digital customer experience and support business growth.
Locations (2)
Peoria, Illinois, United States
Irving, Texas, United States
Compensation
Summary Pay Range: $128,470.00 - $192,710.00
Responsibilities
Identify opportunities to improve digital customer and dealer experiences based on CI priorities and customer needs
Explore and apply AI and emerging digital capabilities to improve customer experiences, uncover insights, and help solve business problems
Partner with analytics teams to use data and insights to evaluate opportunities and inform recommendations
Translate customer and business needs into a clear vision, recommended direction, and business case
Bring together CI, Digital, regional, and other business partners to shape solutions and build alignment
Own outbound pipeline generation from end to end, from finding the right companies and buyers to booking qualified meetings, by designing and automating systems at scale.
Compensation
Salary range: 2600€ - 3400€ gross per month, depending on experience.
Responsibilities
Build and run a scalable outbound engine that generates qualified meetings with companies running high-volume customer support
Translate ideal customer profile into concrete lists, filters and data sources
Write, test and iterate multichannel sequences across email, LinkedIn and other channels
Use AI agents and automation to personalize outreach at scale
Qualify inbound and outbound leads and hand over well-prepared opportunities to Head of Go-to-Market
Requirements
Nice to have: Python
Nice to have: JavaScript
Nice to have: Selling to support, CX or operations leaders
Part of Prosus' Global Cyber team, helping businesses identify, understand and manage critical cyber and technology risks through hands-on security testing, advisory, and assurance projects.
Responsibilities
Delivering cyber risk assessments, security reviews and controls testing across complex technology environments
Conducting red teaming exercises and long-term Advanced Persistent Threat (APT) simulations
Assessing cloud infrastructure, data platforms, DevOps environments and CI/CD pipelines
Designing and facilitating cyber crisis simulations
Providing practical, constructive recommendations to strengthen security
Join a product engineering team building an AI-native application for scientific research and development. You will help bring core systems of record and agentic AI into a shared interface used by scientists in the materials and chemicals sectors.
Compensation
Base salary: $240,000 to $275,000 annually.
Responsibilities
Build the core application end to end, spanning data models, TypeScript and NestJS backend services, and React interfaces
Create dynamic, agent-operable views where AI can enter information, provide recommendations, and guide users through workflows
Connect product workflows for formulation, synthesis, master data management, administration, and process development with the AI layer in a GxP environment
Design enterprise-grade systems with permission-based access controls and safe scaling and migrations across DynamoDB, Databricks, and Python Flask services
Own features from product specification through iteration with product, design, and customers, and help establish AI-driven development practices
A professional role responsible for executing, monitoring, and maintaining the control environment within the Cross-Border Activities Control Execution team.
Compensation
111 990,00 zł - 177 010,00 zł
Responsibilities
Assist in the design, creation, and implementation of operational and cross-border controls
Execute routine control testing, travel governance checks (pre- and post-travel compliance), and quality assurance processes
Actively support the team with remediations and the sustainability of assigned Corrective Action Plans (CAPs) and issues
Provide feedback on operating procedures, desktop guides, and control execution guidelines
Identify manual steps within existing control workflows and collaborate with technology, data, or analytics partners to enhance and automate control execution
Requirements
Bachelor’s/University degree or equivalent experience
Nice to have: Familiarity with cross-border policies
Nice to have: Familiarity with Country Conduct Rules (CCR)
Nice to have: Familiarity with the Activity Control System (ACS)
The Creative Manager is responsible for developing and driving the creative vision across digital, product, and brand experiences, leading senior design teams and collaborating with executive stakeholders.
Responsibilities
Develop and implement creative strategies to align to business objectives, across Apparel & home - seasonally
Guide on Conceptualising and implementing concepts through guidelines and strategies for various creative projects that include BTL as well as ATL campaigns and oversee them to completion by the creative team
Coach, guide and support the creative team to deliver creative campaigns and projects to align to brief objectives
Lead brainstorming and creative sessions/ workshops with the team to deliver campaigns that drive differentiation and innovation within the fashion & home industry
Monitor results of team concepts and execution, enabling accountability through guidance within the senior team
Requirements
Diploma in Graphic Design, Visual Communication, Digital Media, or related field
Lead data science and AI initiatives within UKCEH’s Digital Innovation group, developing tools and workflows to enhance discoverability and reuse of environmental data.
Compensation
Salary - £40,574 - £43,056
Responsibilities
Use state‑of‑the‑art data science and AI techniques to integrate diverse data sources
Research and develop novel methods to enhance discoverability of UKCEH’s digital objects
Build NLP, spatial analysis, and machine learning workflows for whole‑systems approaches
Analyse environmental impact of data science methods
Collaborate with Digital Engineering, Data and Digital Integration groups
Requirements
Bachelor’s degree in statistics, data science, environmental science or computer science