Top Tech Jobs & Startup Jobs

The Senior Salesforce Developer will design, develop, and maintain Salesforce solutions, providing technical guidance to junior developers while ensuring quality and architectural standards. They will collaborate with stakeholders, optimize performance, and keep up with new Salesforce technologies.

The Partnerships Director (Account Executive) at Lyra Health will lead sales processes, identify new employer partners, educate HR leaders about mental health benefits, negotiate large contracts, and collaborate with the Customer Success team for effective implementations. Strong communication and quantitative skills are vital for success in this role.

The Organizational Development Consultant will assess employers' organizational needs, analyze workforce challenges related to workplace stress, and design solutions to improve employee well-being and productivity. Responsibilities include managing client relationships, analyzing data from surveys, leading proposals, and creating educational content.

The Sr. Salesforce Developer will enhance and maintain Salesforce instances, participating in defining requirements with stakeholders, customizing Salesforce functionality, developing integration strategies, and improving user experiences through troubleshooting and documentation.

The Sr. IT Support Specialist at Lyra Health will ensure the smooth operation of IT systems, lead onboarding processes, manage vendor relations, and provide IT support across communication channels. Responsibilities include troubleshooting software and hardware issues, logging support tickets, and conducting training sessions for end-users, all in a bilingual setting.

The Sales Executive's main responsibility is to drive revenue by acquiring new clients in Malaysia. This role involves prospecting, conducting sales presentations, negotiating deals, providing client support, and ensuring customer satisfaction.

The Sr. AI/ML Engineer will build backend infrastructure for generative AI products, manage applications in Kubernetes, work with databases for AI solutions, and collaborate with various stakeholders on requirements for AI/ML infrastructure.