RELX

Events

• Develop and execute event sales strategies to achieve and exceed revenue targets across exhibition space, sponsorship, digital products, and ancillary revenue streams.
• Identify opportunities for new business acquisition, customer expansion, and growth within emerging jewelry market segments.
• Ensure sales plans and territory/account strategies are developed and executed 10–12 months in advance of event delivery.
• Monitor market trends, competitor activity, and customer behavior to identify commercial opportunities and risks.
• Build strong relationships with key exhibitors, sponsors, industry associations, buyers, and strategic partners within the jewelry sector.
• Negotiate commercial agreements, sponsorship packages, and multi-event partnerships.
• Represent the company and portfolio at industry events, trade shows, and networking functions.
• Lead, coach, and develop Sales Managers and Account Executives to drive high performance and accountability.
• Maintain accurate forecasting and pipeline management through Salesforce and reporting dashboards.

Sales Director, Jewelry Events

Full-stack Engineer

• Interface with other technical personnel or team members to finalize requirements.
• Write and review portions of detailed specifications for the development of complex system components.
• Will be entrusted with mentoring other to continuous integration, delivery, and deployment software delivery practices.
• Develop skills to Mentor less senior software developers on development methodologies and optimization techniques
• Identify operational requirements for logging, instrumentation and alerting and works with Senior II to ensure operational requirements are met.
• Successfully implement development processes, coding best practices and code reviews.
• Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.
• Resolve complex intermediate technical issues as necessary.
• Participate in Pair Programming with squad members to support the learning and development of others.

Senior Software Engineer

Customer Success Manager

• Support the Sales organization with a variety of Sales Operations and CRM-related tasks, including reviewing, analyzing, and fulfilling business support requests
• Collaborate with cross-functional stakeholders to gather requirements, recommend solutions, and implement Salesforce enhancements aligned to business needs
• Design, build, and maintain Salesforce automations and process improvements, including flows, validation rules, approval processes, and other declarative tools
• Configure Salesforce to support business processes, including custom objects, fields, page layouts, record types, and security settings
• Assist with Salesforce administration activities, including user access support, territory alignment, account setup, and sales crediting requests
• Develop, maintain, and deliver standard and ad hoc reports, dashboards, and analytical insights to support decision-making and identify trends, risks, and opportunities
• Ensure data quality, accuracy, and integrity across Salesforce through monitoring, validation, and data management activities
• Support and troubleshoot day-to-day Salesforce issues, working with users to resolve problems efficiently and effectively
• Monitor system performance and existing processes to identify opportunities for optimization, scalability, and continuous improvement
• Stay current with Salesforce releases, features, and best practices; proactively recommend enhancements that improve business outcomes
• Create and maintain system, process, and technical documentation to support knowledge transfer, audit readiness, and long-term platform sustainability
• Participate in Jira-based work management using Copado, including UAT testing and, when assigned, implementing changes and promoting them through Salesforce environments

CRM Analyst

• Develop and design liveness detection systems that utilize AI algorithms to differentiate between real and fake biometric data including analyzing facial features, eye movements, and other physiological indicators.
• Build and optimize deep learning models specifically for liveness detection. This involves selecting appropriate algorithms, conducting experiments, and optimizing model parameters to enhance accuracy and reliability.
• Identify and extract features from biometric data that are crucial for detecting spoofing attempts including texture analysis, motion-based detection, and 3D depth analysis.
• Collaborate with data scientists to collect, clean, and preprocess large datasets required for training liveness detection models.
• Ensure data integrity and suitability for model development.
• Implement machine learning algorithms capable of processing real time biometric data to detect inconsistencies indicative of spoofing attempts which includes integrating multimodal approaches such as facial recognition, fingerprint scanning, and iris recognition.
• Conduct rigorous testing of liveness detection systems to ensure performance in real-world scenarios.
• Validate models against various spoofing techniques to ensure robustness.
• Deploy liveness detection systems into production environments, ensuring scalability and high performance.
• Continuously monitor system outputs to identify any issues with accuracy or efficiency.

Principal Software Engineer

• Lead ideation, development, and execution of special events
• Design engaging experiences that drive connection and brand buzz
• Manage budgets and collaborate with cross-functional teams
• Oversee content capture and repurpose for digital platforms

Events Experience Manager, PGA, Vision Tradeshows

Manager

• Manage all brand and content marketing websites, ensuring best-in-class performance, reliability, and user experience.
• Oversee day-to-day website operations and the platforms that support website creation, maintenance, and optimization.
• Define and manage core user journeys and UX frameworks to optimize customer paths toward engagement, conversion, and business outcomes.
• Collect, evaluate, and prioritize feature and enhancement requests, developing business cases to inform the global product roadmap.
• Lead and document website and platform migration projects, including internal and external acquisitions.
• Oversee website integrations and APIs, ensuring seamless data flow between platforms to support customer and business objectives.
• Analyze user behavior and engagement to generate actionable, data-driven insights.
• Design and execute A/B and multivariate testing programs to improve UX, conversion rates, SEO performance, and overall site effectiveness.
• Proactively delivers clear, actionable reporting on website and campaign performance to demonstrate ROI and identify optimization opportunities.
• Manage and mentor a team of website specialists, providing clear direction, ongoing feedback, and development opportunities.

Digital Website Manager

Product Manager

• Own roadmap planning and execution for one or more workflow modernization initiatives
• Identify opportunities to reduce manual work and improve throughput across patent processing workflows
• Lead discovery and experimentation efforts focused on workflow automation, AI enablement, and operational efficiency
• Design and deliver automation solutions using AI, machine learning, LLMs, NLP, computer vision, and rules-based systems
• Partner with operations teams to understand real-world workflows and ensure solutions are usable, adopted, and impactful
• Define product requirements, success metrics, and operational acceptance criteria
• Maintain and prioritize backlog aligned to business goals, operational outcomes, and delivery capacity
• Analyze workflow, productivity, telemetry, and quality data to identify improvement opportunities and validate hypotheses
• Contribute to defining and validating the economic hypothesis for assigned product areas, including productivity improvement and cost reduction targets
• Work with Finance and Operations to ensure delivered capabilities translate into realized savings and operational impact
• Drive experimentation with agentic workflows and human-in-the-loop automation pipelines
• Engage with internal users and stakeholders to gather requirements, validate assumptions, and improve adoption
• Communicate roadmap progress, insights, risks, and business impact to stakeholders
• Participate in product discovery and contribute to future workflow modernization strategy

Product Manager II

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

• 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