Lead Product Designer

Posted Yesterday
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Palo Alto, CA, USA
Hybrid
Senior level
Artificial Intelligence
The Role
Lead Product Designer to define AI-native product experiences and 0→1 architectures. Design LLM-centered interaction paradigms, probabilistic UIs, and systems handling hallucination and uncertainty. Partner with product and ML engineering to influence models, create evaluation frameworks, and mentor designers to build scalable design systems and cross-functional processes.
Summary Generated by Built In
Lead Product Designer - TinyFishThe Opportunity

TinyFish operates on a fundamental principle: work with the world as it is, make the hard parts feel easy, and give people the space to do what they do best. We're seeking a Lead Product Designer who embodies this philosophy while pioneering the intersection of human-centered design and artificial intelligence.

This role isn't about following established playbooks—it's about writing them. You'll architect product experiences that leverage LLMs not as mere features, but as fundamental design materials that reshape how humans interact with technology.

The Role

Reports to: Head of Design
Location: [Flexible/Remote/Hybrid - adjust as needed]
Level: Senior IC with leadership responsibilities

Core Responsibilities

0→1 Product Architecture

  • Conceptualize and design entirely new product categories that don't yet have mental models or design patterns

  • Transform ambiguous problem spaces into elegant, intuitive experiences that feel inevitable in hindsight

  • Build design systems that scale from first prototype to product-market fit without fundamental restructuring

AI-Native Design Leadership

  • Design interaction paradigms that treat LLMs as collaborative partners rather than command-response tools

  • Architect probabilistic UI systems that gracefully handle the non-deterministic nature of AI outputs

  • Create design patterns for managing context windows, token efficiency, and latency as first-class UX considerations

  • Develop frameworks for designing around hallucination, uncertainty, and model limitations without breaking user trust

Strategic Design Thinking

  • Partner with engineering and product to influence model fine-tuning based on UX requirements

  • Design feedback loops that simultaneously improve user experience and model performance

  • Create evaluation frameworks for AI-powered features that balance capability with comprehensibility

  • Establish design principles for ethical AI deployment that maintain user agency while leveraging automation

Team & Culture Building

  • Mentor designers in developing AI literacy without requiring ML engineering knowledge

  • Establish design critique processes that evaluate both traditional usability and AI-specific interaction patterns

  • Build cross-functional bridges between design, ML engineering, and product to create unified experiences

Essential QualificationsTechnical Expertise
  • Deep LLM Knowledge: Understanding of transformer architectures, prompt engineering, RAG systems, and emerging patterns like chain-of-thought reasoning and constitutional AI

  • AI Product Experience: Shipped products leveraging GPT-4, Claude, or similar models; understanding of their capabilities, limitations, and optimal use cases

  • Systems Thinking: Ability to design for emergent behaviors, feedback loops, and non-linear user journeys inherent in AI systems

Design Mastery
  • 0→1 Track Record: Multiple examples of creating successful products in undefined categories where you had to invent the interaction paradigms

  • Craft Excellence: Pixel-perfect attention to detail while maintaining velocity; ability to produce high-fidelity prototypes that feel production-ready

  • Research Integration: Experience conducting foundational research in unexplored problem spaces and translating insights into breakthrough designs

Leadership Qualities
  • Intellectual Rigor: Ability to engage with complex technical concepts and translate them into human-comprehensible experiences

  • First-Principles Thinking: Comfort challenging assumptions and reimagining interactions from fundamental human needs rather than existing patterns

  • Communication Precision: Capability to articulate design decisions through multiple lenses—technical feasibility, user value, and business impact

What Sets You Apart
  • You've designed products where the AI isn't just a feature but fundamentally changes the product's architecture

  • You understand concepts like attention mechanisms, embedding spaces, and temperature settings well enough to design around them

  • You've wrestled with designing for stochastic outputs and found elegant solutions

  • You've developed novel interaction patterns that make complex AI capabilities feel simple and delightful

The TinyFish Approach

We believe in riding the currents of technological change while maintaining deep empathy for human needs. Our design philosophy centers on finding leverage—identifying the minimal interaction that unlocks maximum value. This role offers the opportunity to define how humanity interfaces with artificial intelligence at a pivotal moment in technological history. You won't just be designing products; you'll be establishing patterns that could influence an entire generation of AI-powered experiences.

TinyFish is committed to building a diverse team that reflects the global community we serve. We encourage applications from candidates who bring unique perspectives and experiences to our design challenges.

Skills Required

  • Deep LLM knowledge (transformer architectures, prompt engineering, RAG systems, chain-of-thought, constitutional AI)
  • AI product experience shipping features using GPT-4, Claude, or similar models
  • Systems thinking for emergent behaviors, feedback loops, and non-linear user journeys
  • Proven 0->1 product design track record creating novel interaction paradigms
  • Craft excellence producing high-fidelity, production-ready prototypes
  • Experience integrating foundational research into design for unexplored problem spaces
  • Ability to design probabilistic UIs handling non-deterministic AI outputs (context windows, token efficiency, latency)
  • Experience creating frameworks to manage hallucination, uncertainty, and model limitations ethically
  • Leadership and mentoring experience growing designers' AI literacy and running design critique processes
  • Strong communication and first-principles thinking to align design, product, and ML engineering
Am I A Good Fit?
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The Company
HQ: Palo Alto, CA

What We Do

The Enterprise Web Agent company. Our AI agents run complex business workflows at web scale millions of times to deliver measurable outcomes.

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