As a Senior Product Manager, you'll analyze and prioritize features based on business impact, drive product execution and implementation, and collaborate with engineering teams to improve software delivery. You'll also develop go-to-market strategies and oversee the entire product lifecycle, ensuring alignment with customer and business goals.

The Sales Engineer will deliver product demonstrations, lead product evaluations, and collaborate with engineering teams to influence product features. The role requires strong communication skills to explain complex AI and data analytics concepts to potential clients and involves a consultative approach to customer solutions.

As a Technical Account Manager, you will be the main contact for key client accounts, ensuring successful onboarding and support for our AI-powered solutions. You'll collaborate with internal teams to address client needs, communicate technical information, identify upselling opportunities, and track account metrics to enhance solutions.

The Senior Engineering Manager leads a team of engineers in developing scalable engineering solutions for Level AI's platform, guiding projects from inception to launch and ensuring high-quality deliveries. Responsibilities include mentoring team members, managing product delivery timelines, and driving process enhancements to support business growth.

The Lead Backend Engineer will lead the development of innovative, full-stack solutions, leveraging advanced AI technologies like Large Language Models. Responsibilities include collaborating with leadership, prototyping new product ideas, mentoring team members, and maintaining technical standards.

As a Backend Engineer at Level AI, you will innovate and build solutions for customer engagement, focusing on backend technologies. Your role involves designing and coding solutions, working in an agile environment, and collaborating with team members on system architecture. A strong foundation in data management and REST API design is essential, along with proficiency in Python and Django.

The Sales Enablement Manager will enhance sales team performance by developing training, curating materials, and optimizing processes. Responsibilities include leading programs, analyzing sales performance, creating learning resources, and reporting effectiveness to stakeholders. This role requires collaborating across departments to refine sales strategies and implement the use of sales tools.

As an IT Administrator, you will troubleshoot technical issues related to Mac configurations, OKTA, ZSCALER, Python scripts, and network connectivity. You will handle IT help desk requests, manage user accounts, and ensure operational efficiency.

As a Machine Learning Engineer, you will develop, deploy, and maintain machine learning models, collaborating with ML/NLP Engineers to implement scalable solutions and optimize existing models for performance. You will also engage in post-deployment monitoring, bug identification, and continually innovate AI-driven applications.

The Principal Software Engineer will lead the design and development of the data warehouse and analytics platform, focusing on data modeling, ETL processes, and collaboration with team members. Responsibilities include designing analytical platforms, maintaining data schemas, and ensuring scalability and accuracy in data propagation.

As a Senior Backend Engineer at Level AI, you'll work on high-impact AI-driven projects, design and develop REST APIs, manage databases, and collaborate in an agile environment to enhance customer engagement solutions.

As a FullStack Engineer, you will be responsible for developing features and tools, building web interfaces, translating designs into code, and developing RESTful APIs. Your role involves working with cutting-edge technologies to enhance AI-driven enterprise applications.

The Staff Software Engineer will lead the design and development of the data warehouse and analytics platform at Level AI. Responsibilities include designing analytical platforms, maintaining data schemas, overseeing data propagation, and ensuring scalable architectural designs. The role also involves mentoring junior engineers and driving best engineering practices.

As a Backend Engineer at Level AI, you will work on developing AI-driven enterprise applications that enhance customer engagement and decision-making. Your responsibilities include designing and building software architecture, collaborating with team members, and driving engineering excellence. You will utilize technologies like Python and Golang to create scalable solutions for contact centers.

As a Backend Engineer at Level AI, you will develop and maintain products that improve customer engagement through AI technology. Your role includes designing solutions, working with databases, building REST APIs, and promoting engineering best practices in an agile environment.

The Principal Engineer will oversee the technology stack, driving the development of scalable systems and implementing engineering best practices. They will collaborate with various stakeholders to ensure high uptime of critical services and mentor junior engineers.

As a Tech Support Engineer at Level AI, you will provide vital technical assistance for our software, troubleshoot and resolve customer queries, document solutions, and collaborate with engineers and customer success teams to enhance operational efficiency.

As a Technical Account Manager, you will be the main technical contact for enterprise customers, understand their business goals, provide best practice guidance, troubleshoot issues, and collaborate with teams to enhance platform use. You'll conduct business reviews and build strong stakeholder relationships to ensure customer retention.

As a Senior Frontend Engineer, you will develop innovative web strategies, enhance JavaScript libraries, and build scalable user experiences using modern tools. You'll collaborate with cross-functional teams to deliver high-quality enterprise applications and drive best practices in engineering excellence.

The Senior Software Engineer will design, develop, and enhance a data warehouse and analytics platform, collaborating with product managers and engineers. Responsibilities include building data warehouse schemas, optimizing ETL/ELT pipelines, and ensuring performance and scalability of data systems.