As a Software Engineer II, you'll design and implement scalable backend microservices, create database schemas, and solve complex engineering problems. You'll work autonomously on features using Agile methodologies and be deeply involved in product decisions that impact user experience.

The Account Executive will pitch Seamless.ai's product, conduct demos for sales leaders and business owners, manage the sales cycle from contact to closure, and collaborate with various teams to drive revenue growth. This role demands strong communication and negotiation skills, along with the ability to tailor solutions to client needs.

The Senior Software Engineer will lead a team in designing, developing, and maintaining software applications, ensuring timely completion within budget and quality standards, providing technical leadership, and mentoring engineers while exploring new technologies to enhance development processes.

As a Principal Cloud Engineer, you will lead the design, automation, and maintenance of AWS cloud infrastructure, ensuring it is scalable, secure, and cost-optimized. Responsibilities include implementing Infrastructure as Code, disaster recovery strategies, and mentoring other engineers, with a focus on optimizing costs and security best practices.

The Sales Development Representative will build a pipeline of sales leads, utilize relationship building skills, and demonstrate the value of the product. The position is aimed at new graduates interested in starting their sales careers and offers base salary plus uncapped commission.

The Principal Data Engineer will design, develop, and maintain ETL pipelines, ensuring efficient data acquisition and transformation. Responsibilities include optimizing ETL processes, collaborating with teams for data integration, managing data governance, and exploring new technologies for improved data processing.

As a Senior Software Engineer in Marketing, you will enhance our marketing technology stack, optimize campaigns, leverage data-driven insights, and collaborate with teams to improve attribution models and data pipelines. Key tasks include building integrations, executing marketing analytics solutions, developing SEO strategies, and automating marketing workflows.