- Experience with conversational interfaces, AI assistants, or human-in-the-loop workflows.
- Experience in financial services or other environments where trust, privacy, and reliability are critical.
- Familiarity with product analytics and adoption measurement.
What success looks like Teams invest in clearly understood problems. Important assumptions are tested early. Engineering starts with better-defined, validated solutions. Business teams adopt what is delivered, and the impact can be measured through improvements in quality, efficiency, or user outcomes.
What will you find?
- A company building AI-First capabilities at scale.
- An AI Products Chapter focused on creating agents, copilots, and intelligent experiences for multiple tribes and squads.
- Real, high-impact challenges affecting clients, businesses, operations, and the ecosystem.
- Space to experiment, propose, and build new interaction patterns.
- Multidisciplinary teams with a focus on product, data, technology, and user experience.
If you are excited about shaping how people and AI work together in digital products and business workflows, we want to meet you.
En Spin estamos comprometidos con construir un lugar de trabajo diverso e inclusivo.
Creemos en la igualdad de oportunidades y promovemos un entorno libre de discriminación por motivos de raza, origen nacional, género, identidad de género, orientación sexual, discapacidad, edad o cualquier otra condición legalmente protegida.