The Account Executive II is responsible for planning and executing sales strategies to meet financial targets and expand customer relationships. This role involves managing the full sales cycle, from prospecting and cold calling to closing deals and maintaining a healthy pipeline.
The Account Executive II is responsible for planning and executing sales strategies to meet financial targets and expand customer relationships. This role manages the full sales cycle, including prospecting, nurturing, and closing deals while maintaining accurate records in CRM systems.
The Lead Analyst owns end-to-end delivery of complex analytical workstreams, translating large datasets into actionable insights for strategic client decision-making. The role also involves mentoring team members, ensuring analytical rigor, and developing scalable methodologies to improve operational efficiency.
The Account Manager II serves as a trusted advisor, managing the full customer lifecycle to drive retention, renewals, and account growth. They are responsible for developing success plans, demonstrating product ROI, and collaborating with internal teams to ensure seamless customer experiences.
The Data Analyst will support global data initiatives by analyzing and improving multilingual text classifiers and developing parsers. They will also translate key taxonomies and perform data cleaning using Excel and other analytical tools.
The Data Analyst will support global data initiatives by improving multilingual text classifiers and developing parsers in collaboration with linguistics and engineering teams. Responsibilities also include translating taxonomies and performing data cleaning using Excel and SQL.
The Data Analyst will support global data initiatives by analyzing and improving multilingual text classifiers and developing parsers. They will also translate key taxonomies and clean data to ensure high-quality insights for global markets.
The Product Manager will define the strategy and roadmap for the knowledge platform, focusing on taxonomy, ontology, and machine learning-powered data products. They will lead discovery efforts to identify customer problems and translate complex data opportunities into actionable product requirements.
The Product Manager will execute the AI product roadmap, focusing on delivering secure and scalable data capabilities for AI platforms and agents. They will collaborate with engineering, data science, and security teams to translate strategy into actionable requirements and manage the product backlog.
The Data Analyst will support global data initiatives by analyzing and improving multilingual text classifiers and developing parsers. They will also translate key taxonomies and perform data cleaning tasks using Excel and other analysis tools.
The Customer Success Manager acts as a strategic advisor to manage the full customer lifecycle, driving retention, renewals, and account growth. They are responsible for developing success plans, demonstrating product ROI, and collaborating with internal teams to ensure seamless service delivery.
Lead high-impact research on labor markets and the future of work to drive Lightcast's education and public sector agenda. Serve as a visible external expert to strengthen the brand through media, publications, and strategic partnerships.
Maintain strong customer relationships and ensure client needs are met to deliver an exceptional customer experience. Drive account growth through renewals, upselling, and cross-selling while monitoring account health.
