Top Tech Jobs & Startup Jobs in Caloocan

The Incident Manager will lead incident management efforts, improve processes, collaborate with teams for incident response, and ensure effective communication with stakeholders.

Manage daily accounts receivable tasks including invoicing, cash application, reconciliations, refunds, and collections. Handle customer and internal finance queries, prepare statements and collection communications, monitor finance inboxes and service tickets, support month-end close and audit requests, and help improve and automate AR processes while maintaining accurate account records.

The role involves project setup and maintenance in MS Dynamics 365 Finance and Operations, including invoicing, project oversight, and collaboration with stakeholders.

The Hybrid Healthcare Representative promotes and creates demand for ethical products among specialists, formulates sales strategies, and develops programs while monitoring market activities.

The Senior GTM Enablement, Support will enhance the onboarding and training experience for the support organization, focusing on scalable and data-informed strategies. Responsibilities include leading onboarding, developing ongoing training, and measuring program success while collaborating with various departments.

Provide fast and empathetic support to workplace customers, resolving issues via voice and email while collaborating with cross-functional teams to enhance customer experience.

The Corporate Account Manager will drive customer success and satisfaction, manage the sales cycle, and advocate for customer needs while achieving sales quotas.

As an Account Executive, you'll focus on generating new business through outbound prospecting in the digital marketing sector, particularly in the multifamily industry, while utilizing your expertise to engage and convert prospects into revenue opportunities.

As a Sales Engineer, you will provide technical leadership, manage the technical sales process, and build trusted relationships with enterprise customers to drive digital transformation solutions in cybersecurity.

As an AI / ML Engineer, you will develop applications utilizing AI tools, collaborate with teams, apply generative AI models, and explore advanced techniques in data science.

Design and build scalable, low-latency backend applications and AI/ML frameworks. Integrate data pipelines, databases, and front-end components. Develop, fine-tune, and deploy LLM-based models, build APIs and services, and ensure testable, secure, and efficient Python code supporting business decision-making.

Design, build, and maintain Snowflake-based data solutions and pipelines. Enable GenAI use cases, implement Cortex AI features, develop reusable Snowpark/SQL components, optimize performance, and enforce governance, security, RBAC, and masking policies.