The role involves building a B2B pipeline, managing technical deal cycles, and maintaining customer relationships while achieving sales goals.

Full Stack Engineers will design, develop and implement features for a SaaS product using React, Typescript, Django, and Python, collaborating within an agile team.

Lead engineering efforts in transitioning a SaaS platform to Native AI, manage teams, drive AI product development, and promote a culture of innovation.

The Product Manager will lead research on competitive metrics and AI impact, ensuring product strategy aligns with market needs and informing senior leaders.

The Director of Product Design will lead the design organization, shape user experiences, mentor teams, and drive design strategy for an AI-driven SaaS platform.

As a Strategic Account Executive, you will build and manage a B2B pipeline, engage in technical and business discussions with enterprise customers, and partner with sales engineering to ensure customer success. You will leverage your experience to drive sales growth and maintain strong client relationships post-sale.

The Backend Software Engineer will develop data ingestion pipelines, implement observability tools, and provide technical support while improving team collaboration.

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

The Senior Backend Engineer will design and implement features for a SaaS product, focusing on backend systems, data modeling, and improving team capabilities.

As a Senior Backend Engineer, you'll build features for AI integration, measure productivity changes, and support production operations in a SaaS environment.

Seeking a Senior Backend Engineer to develop backend systems for a Native AI platform, focusing on API design, data integration, and production software systems using Python and Django.

The Senior Backend Engineer, AI Systems will design features for a SaaS environment, manage complex data, and work with AI models. Responsibilities include implementation, support for production, and collaboration within an agile team.

As a Sales Engineer II, you will provide technical expertise, engage customers, assist in proofs of concept, and collaborate with various teams while focusing on customer success and AI tools.