Ada

421 Total Employees
Year Founded: 2016

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Jobs at Ada

Search the 9 jobs at Ada

Recently posted jobs

Artificial Intelligence • Enterprise Web • Machine Learning • Marketing Tech • Natural Language Processing
As a Staff Software Engineer at Ada, you will lead complex software development projects, provide technical leadership, mentor development teams, and design scalable software systems. You will work on integrating Ada's AI platform with various services and ensure technical excellence in the team's work. The role offers competitive salary, stock options, benefits, and a remote-first work environment with development opportunities.
Artificial Intelligence • Enterprise Web • Machine Learning • Marketing Tech • Natural Language Processing
As an Intermediate Software Engineer at Ada, you will collaborate with stakeholders to execute the roadmap, drive more volume to the AI-driven CX platform, and work on third-party integrations. Key responsibilities include code deployment, enhancing development practices, and ensuring the best AI Agent platform experience for internal developers and partners.
Artificial Intelligence • Enterprise Web • Machine Learning • Marketing Tech • Natural Language Processing
As an Intermediate Software Engineer at Ada, you will work on executing the company's roadmap for their AI-driven CX platform, collaborating with stakeholders to drive more volume to the platform. You should have 2+ years of backend development experience, proficiency in Python and Node.js, and experience with databases, third-party LLMs, deployment, and developer operations.
Artificial Intelligence • Enterprise Web • Machine Learning • Marketing Tech • Natural Language Processing
As an Intermediate Software Engineer at Ada, you will work on executing the roadmap for the messaging platform driving volume to the AI-driven CX platform. Responsibilities include collaborating with stakeholders and providing valuable input on development practices.
14 Days Ago
Canada
Remote
Artificial Intelligence • Enterprise Web • Machine Learning • Marketing Tech • Natural Language Processing
DevSecOps Engineer role at Ada, focusing on cloud-based architectures, security responsibilities, and general infrastructure management. Responsibilities include implementing and managing AWS infrastructure components, responding to security risks and vulnerabilities, and ensuring high availability and disaster recovery tests. Collaborates with internal and external stakeholders to improve security practices and outcomes.
Artificial Intelligence • Enterprise Web • Machine Learning • Marketing Tech • Natural Language Processing
As the Technical Program Manager for the Solutions team at Ada, you will lead the delivery of Ada's Marketplace of Integrations, collaborate with cross-functional teams, and drive the adoption of Ada's products. You will need to be a proactive and data-driven individual dedicated to delivering high-quality work and setting clear priorities for the team.
Artificial Intelligence • Enterprise Web • Machine Learning • Marketing Tech • Natural Language Processing
Sales & Compensation Operations Analyst responsible for managing sales commissions, data integrity in CRM, forecasting, and collaborating with teams for automation and improvements. Requires 2-3 years of Salesforce or CRM experience, strong Excel skills, and knowledge of sales compensation models.
22 Days Ago
Canada
Remote
Artificial Intelligence • Enterprise Web • Machine Learning • Marketing Tech • Natural Language Processing
As a Senior Software Engineer at Ada, you will work on executing the company's roadmap, delivering the messaging platform, and enhancing development practices. Your responsibilities include code deployment, providing feedback on code, and ensuring the best AI Agent platform experience for internal and external partners.
22 Days Ago
Canada
Remote
Artificial Intelligence • Enterprise Web • Machine Learning • Marketing Tech • Natural Language Processing
Ada is seeking an experienced cloud engineer to join their DevOps team, responsible for building and maintaining infrastructure, improving developer velocity, and ensuring operational excellence. Key requirements include strong automation skills, experience with data infrastructure, containers, and cloud-based systems, and a customer-first approach to operational safety.