As a Senior Product Designer , youll use advanced AI tools and methods to move from insight ? concept ? working experience with high speed and clarity.

Youll partner closely with product, engineering, strategy, and customers to uncover unmet needs, validate hypotheses, and turn ambiguous problems into elegant, testable, data-aware solutions.

Youre hands-on, experimental, and fluent in AI converting user research to compelling prototypes, and shaping trustworthy, human-in-the-loop experiences that deliver business impact.

Key Responsibilities :

Product Design Excellence :

- Prototype with real data and real models : connect to mock data or internal APIs; validate flows under realistic latency, streaming, and cost constraints.

- Design for probabilistic systems : author patterns for imperfect answers, disagreement handling, correction, and escalation to humans-in-the-loop.

- Express ideas at multiple fidelities : from prompt-generated concept boards to interactive agents, micro-workflows, and production-ready UI.

- Partner with business designers and product strategists to evaluate desirability, feasibility, and viability; shape experience KPIs and success metrics.

- Tell the story through compelling narratives, visuals, and prototypes that make the future feel obviousand shippable.

- Lead design sessions and facilitate cross-functional workshops.

Design Execution & Ownership :

- Own outcomes end-to-end from discovery to shipped experience : research plans, flows, systems, content, and component-level detail.

- Operationalize AI in the UX : define tool/agent contracts, error states, monitoring hooks, and feedback loops to continuously improve quality and cost.

- Collaborate tightly with engineering to scope increments, derisk hard problems early, and land details with high craft.

- Continuously validate via user research, experiment design, and rapid iteration; make evidence-based tradeoffs across user value, reliability, and cost.

Required Qualifications :

- 5+ years of product design experience.

- Fluency with AI-native workflows : prompt design, evaluation, and chaining; agents/tools; RAG; model/runtime constraints (latency, token/cost budgets).

- Hands-on prototyping with real data (e.g., connecting prototypes to APIs/SDKs, lightweight code, or no/low-code tools) to validate feasibility and UX.

- Strong user research skills : plan and run studies, synthesize qualitative & quantitative signals into clear insights and direction.

- Portfolio demonstrating end-to-end ownership of complex, data-heavy or AI-powered experiences, including trust/safety and human-in-the-loop patterns.

- Excellent collaboration & communication : proactive stakeholder management, clear storytelling, and comfort presenting to executives and customers.