Jobs at Gitwit

Lead zero-to-one product design for AI-native ventures: define product direction, prototype quickly, run user tests, design AI workflows handling uncertainty and human review, create engineer-ready design systems, and hand off shaped products to founding teams while iterating from early signals.

As Operating Partner at Gitwit's Bentonville Studio, you'll lead discovery, shape product strategy, and support Builders in Residence in developing AI-native companies through hands-on collaboration with the Tulsa studio.

As a Staff Software Engineer at Gitwit, you'll drive product development from concept to launch, shaping technical direction and building innovative solutions.New ventures focus on AI, with an emphasis on fast-paced, cross-functional collaboration.

The Founding AI Systems Engineer at Yask will develop adaptive AI systems for physical operations, focusing on retail and distribution challenges, transforming prototypes into production-ready platforms.

The Staff Software Engineer will shape and build new AI-driven products, driving technical direction and collaborating with cross-functional teams. Responsibilities include defining project scopes, making foundational technical decisions, shipping products rapidly, and adapting based on user feedback, all in a dynamic environment focused on venture creation.

The CEO & Co-Founder will build Yask, an AI company for physical operations, focusing on product-market fit, team building, and driving customer adoption through hands-on management and product development.

Lead zero-to-one product development for AI-native web applications: shape product and technical direction, ship full-stack prototypes rapidly, integrate foundation-model APIs and RAG, collaborate cross-functionally, make architecture and tooling decisions, and iterate from user feedback toward venture-level outcomes.

Lead cross-functional product teams to define and execute UX research and product strategy, from concept through post-launch. Conduct qualitative and quantitative research, synthesize insights to inform design and development, manage backlog, budgets, timelines, and performance metrics, and implement AI tools to support product innovation.

Lead end-to-end user research and technical discovery to inform product strategy and UX direction. Design and run qualitative and quantitative studies, synthesize findings into journey maps, requirements, and prioritized recommendations. Build and test interactive (including AI-enabled) prototypes, develop LLM prompts and workflows, define success metrics and experiments, and present insights to align cross-functional teams and guide product decisions.