Translate validated concepts into clear requirements, expected behaviors, edge cases, and acceptance criteria, in collaboration with Product Managers.
Stay involved through implementation to resolve open questions and preserve the intended user and business outcomes.
Partner with business teams to support adoption, gather feedback, and measure whether solutions improve the way people work.
Incorporate privacy, reliability, human oversight, and responsible AI considerations into solution design.
What we’re looking for
Seniority: demonstrated experience shaping digital products or transforming business workflows, from problem discovery through implementation and adoption (IC4 / Sr level equivalent).
Strong product judgment and the ability to distinguish an underlying need from a requested feature.
Practical experience with user research, process mapping, rapid prototyping, and experimentation.
Hands-on familiarity with generative AI and agent-based solutions, including their limitations.
Technical fluency to discuss APIs, data flows, integrations, and system constraints with engineers.
The ability to work independently through ambiguity, make trade-offs explicit, and influence cross-functional decisions without formal authority.
Clear communication with both technical and business audiences.
Concrete examples of solutions you helped shape, assumptions you tested, and outcomes you evaluated.
- We are very excited if you also...
- 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.
