The software engineer will build and operate infrastructure for AI agents, ensuring reliability, scalability, and security. Responsibilities include managing LLM services, developing storage systems, and enhancing observability while collaborating cross-functionally.

As a Software Engineer on the AI Products Team, you will build features, improve LLM models, develop infrastructure, engage with customers, and shape team culture.

The role involves designing data systems, managing pipelines, and collaborating with teams to enhance analytics and performance metrics, focusing on a new analytics stack.

The Mid-Market Customer Success Manager will manage customer relationships, drive business outcomes, and enhance customer value through collaboration with cross-functional teams. Responsibilities include developing success plans, executing growth strategies, conducting trainings, and improving operational processes.

Assembled seeks a hands-on Software Engineer to lead security engineering, focusing on building secure systems, conducting assessments, and ensuring compliance with security standards.

As a Product Manager at Assembled, you will collaborate with teams to deliver impactful solutions, engage with customers, and drive product strategy and quality.

The role involves providing technical support to customers by resolving complex issues, managing interactions, and collaborating with teams while leveraging AI tools to enhance service delivery.

The Associate Technical Support Specialist will support customers through various channels, resolve technical issues, and contribute to process improvements, while collaborating closely with internal teams to enhance customer experience.

The Software Engineer will build and maintain Assembled's integrations platform, focusing on API development, real-time data synchronization, and ensuring robust connectivity with major systems like Salesforce and Zendesk.

The role involves understanding customer needs, collaborating with teams to deliver solutions, and driving product performance in a fast-paced environment, focusing on AI-powered support tools.

The role involves developing forecasting interfaces, scheduling support agents, and enhancing MLOps for machine learning efficiency.

Lead AI Deployment team, ensuring successful AI integration for clients. Manage talent, build relationships, and create strategic deployment playbooks.

The software engineer will build Assembled's integrations platform, focusing on interoperability with customer tools and managing data synchronization for integrations.

Design and iterate AI-backed customer support products and features; lead user research; define and maintain product experience and design system; mentor designers; collaborate with PMs and engineers to deliver usable, data-informed B2B software experiences.

Lead technical deployments and customer onboarding for mid-market and enterprise accounts. Manage project execution, integrate with APIs and databases, document product functionality, refine deployment best practices, and liaise with Sales, Product, and Engineering to drive activation, retention, and product improvements.

Lead and scale a team of AI Deployment Strategists to drive enterprise customer value from AI-enabled support, own presales and deployment strategy, build repeatable playbooks, manage escalations, and partner cross-functionally to improve product and drive expansion.

The Implementation Manager will oversee technical implementation and onboarding for mid-market and enterprise customers, ensuring customer satisfaction through relationship building and process improvements.

The Field Marketing Manager will plan, execute and optimize high-impact events to generate leads for Assembled, collaborating cross-functionally with Sales and Product Marketing teams.

The AI Deployment Strategist ensures successful AI product implementation for customers by managing pre-sales, quality, feedback, and product evolution, while collaborating with various teams.

Develop forecasting interfaces and data pipelines for support contact volume prediction. Design scheduling systems for thousands of agents, enhance MLOps for rapid deployment.