Search the 14 jobs at Dataminr

As SDR Manager, train and mentor Sales Development Representatives, manage team quotas, develop performance reports, and implement new outreach strategies. Collaborate with Global Sales to apply best practices.

The Talent Partner will manage full lifecycle recruiting for Enterprise Sales, Customer Success, and Marketing roles within the Go-To-Market teams. Responsibilities include proactive talent identification, candidate assessment, relationship building, offer negotiation, and contributing to improvements in recruiting processes and operations.

As a Senior Customer Success Associate, you will guide clients in utilizing Dataminr's platform effectively, engage with key stakeholders, and ensure account retention and growth through strategic support and product recommendations.

As Senior Commercial Counsel, you will handle commercial transactions including drafting and negotiating customer, partnership, and vendor contracts. You will work closely with various teams to support Dataminr's commercial activities and help streamline legal processes.

The Account Executive will spearhead the sale of cybersecurity products to enterprises, meet sales quotas, build client relationships, develop customer insights, analyze competition, and provide product feedback to enhance offerings.

As a Software Engineer, Backend, you will develop features for a modern distributed application, build and maintain microservices, and influence platform architecture. Collaborate with AI researchers and engineers while following best coding practices to enhance data ingestion and processing.

As a Software Engineer III, you'll develop and maintain prototypes and production-ready AI applications, collaborating with a diverse team to implement innovative human-AI workflows. Responsibilities include driving enhancements in system security, scalability, and performance across the full stack.

As an Account Manager at Dataminr, you will manage strategic relationships with Fortune 500 and Enterprise clients, onboarding new clients, identifying growth opportunities, and ensuring seamless integration of Dataminr solutions into client workflows. You will also develop growth strategies, manage opportunity pipelines, and achieve quarterly targets for bookings and renewals.

As a Senior Software Engineer, you will lead the development and operationalization of a multi-million node knowledge graph, crafting AI solutions for real-time alert generation, overseeing data extraction and ingestion, and enhancing the Knowledge Platform's capabilities.

The Account Executive will be responsible for achieving sales targets by conducting thorough sales campaigns, building a strong client pipeline, and cultivating relationships with clients in the cybersecurity sector. The role involves analyzing competitive landscape, developing customer insights, and providing product feedback to enhance solutions offered by Dataminr.

As a Senior Principal Software Engineer at Dataminr, you will architect and deliver features for a large-scale alerting platform, implement industry best practices, contribute code to production systems, and collaborate with team members on customer applications.

As an Account Executive at Dataminr, you will spearhead sales of cybersecurity products, meet sales quotas, build client relationships, analyze the competitive landscape, and provide product feedback to enhance offerings. You will utilize a multi-channel approach for prospecting and leverage existing client relationships to drive success.

The Account Executive will drive sales of cybersecurity solutions to top-tier enterprises, build pipelines through networking, and maintain client relationships. The role includes understanding customer needs, navigating complex deals, and collaborating with cross-functional teams for product improvement.

As a Senior Associate, Domain Expert in Cyber Risk, you will analyze data feeds to improve alerts for clients, enhance AI models, and monitor cybersecurity events. You will have a role in algorithm training and making real-time decisions based on incomplete data, collaborating with a team in a dynamic environment.