RELX

Account Manager

• Achieve revenue targets for journals and books across new business and renewals.
• Annual account planning and execution (jointly with Account Executive where required)
• Regularly review sales results and forecasts e.g. via Clari and other sales enablement tools and adjust actions accordingly.
• Maintain accurate and timely pipeline, activity, and forecast data in Salesforce.
• Gather, monitor and evaluate competitive information and provide market feedback to the business to enhance product development and GTM.
• Develop and maintain relationships with all relevant decision makers and influencers at the customer level to support Elsevier’s strategic objectives.

Research Account Manager

Director

• Lead a team of product managers bringing clarity and direction to a high-performing team.
• Customer discovery, product delivery and development lifecycle: understand customer needs, experiment and collaborate to find answers to customer problems, define and prioritise incremental value, lead the execution of a product roadmap, focusing on improving customer experience; working closely with the development teams, data science, fellow product managers and wider organisation
• Design and own product suite strategy and define it through collaboration and analysis of the right market, customer and business insights, ensuring the appropriate ROI.
• Tracking and analysing product expenses, cost to revenue and profitability.
• Data driven decision making and analysis: ability to drive conclusions from large volumes of data and recommend and execute relevant actions to help drive the further product development and increase customer satisfaction; Go to market and product marketing lifecycle: working closely with the internal business partners (e.g. Sales, Marketing, Customer Support, Professional Services) to gather and assess product needs in the marketplace, manage customer feedback providing input and expertise to the marketing and other customer materials
• Reporting: ability to measure team and portfolio success through aggressive KPIs ensuring reporting to stakeholders and senior leadership.

Director, Product Management

Data Scientist

• Developing and enhancing statistical and machine learning models using structured and unstructured data to generate predictive insights and attributes
• Design and building data pipelines and analytical solutions that support risk segmentation and insurance use cases
• Providing actuarial expertise and recommendations to inform model development, risk segmentation, and support rate filings.
• Researching and applying innovative data science methodologies to solve complex business problems
• Managing and analyzing large, complex datasets, including data storage, processing, and quality assurance
• Applying best practices for data validation, testing, and model performance monitoring
• Collaborating with team members to share knowledge, strengthen capabilities, and contribute to a strong analytical culture
• Identifying and leveraging new data sources to improve and validate existing models
• Partnering with internal stakeholders to understand business needs, troubleshoot challenges, and deliver actionable insights
• Maintaining a strong understanding of team tools, technologies, and evolving industry trends
• Applying business and domain knowledge to drive effective, practical solutions
• Communicating progress, insights, and outcomes clearly to stakeholders
• Supporting team excellence by upholding high standards of quality, accountability, and execution

Senior Data Scientist

Pricing Analyst

• Provide consultative deal pricing support to Sales and internal stakeholders
• Review and approve deal price exception requests in accordance with pricing policies
• Collaborate effectively with cross-functional partners involved in deal approvals
• Prepare customer-facing documents that accurately reflect approved pricing
• Perform financial analysis to evaluate deal profitability
• Draft customized contract language for non-standard commercial terms
• Ensure consistent and accurate tracking of customer pricing data and proposal iterations
• Proactively identify opportunities for profit optimization and process improvement
• Perform pricing analysis in support of pricing initiatives

Pricing Manager

Account Executive

• Own a new business growth target for Salary Benchmarking
• Build pipeline through outbound and partner-led prospecting
• Position yourself as a trusted advisor on US compensation
• Run structured discovery with Compensation/Total Rewards leaders
• Deliver compelling demos, proposals, and business cases
• Partner with Marketing, Product, and Sales Leadership
• Maintain excellent CRM hygiene and forecast accuracy
• Represent Brightmine in the US at client meetings

Solutions Engineer

• Partner with Account Executives to engage prospective customers and understand their business and technical requirements
• Act as the technical point of contact in customer conversations, clearly explaining IDVerse’s solutions to different audiences
• Translate customer needs into aligned product capabilities and solution use cases
• Support pre‑sales discussions by positioning features, workflows, and value propositions appropriately
• Provide high‑level guidance on how IDVerse solutions are implemented in customer environments
• Share best practices and common implementation approaches to support smooth onboarding
• Capture customer feedback, technical questions, and feature requests and relay them to Product and Go‑To‑Market teams
• Collaborate with Sales, Product, and Delivery teams to ensure alignment and consistent messaging
• Support internal enablement activities, including contributing to product knowledge sharing and sales training.

Solutions Consultant – Pre-Sales

Product Manager

• Customer discovery, product delivery and development lifecycle: understand customer needs, experiment and collaborate to find answers to customer problems, define and prioritize incremental value, lead the execution of a product roadmap, focusing on improving customer experience; working closely with the development teams, data science, fellow product managers and wider organization
• Design and own product suite strategy and define it through collaboration and analysis of the right market, customer and business insights
• Data driven decision making and analysis: ability to drive conclusions from large volumes of data and recommend and execute relevant actions to help drive the further product development and increase customer satisfaction
• Go to market and product marketing lifecycle: working closely with the internal business partners (e.g. Sales, Marketing, Customer Support, Professional Services) to gather and assess product needs in the marketplace, manage customer feedback providing input and expertise to the marketing and other customer materials