Forward Deployed Product Designer
Listed by employer · Checked
Older posting · still listed ·
- Work arrangement
- remote
- Employment
- FullTime
- Stated compensation
- USD 200,000–250,000 1 YEAR
- Stated sponsorship
- Not stated
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- The stated geographic scope includes your country.
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- Visa sponsorship is not specified.
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Requirements
3 with evidence6 unclear or unstated- Remote policy
- remote
“Provider workplace type: remote”
From employer posting metadata - Geographic scope
- US
“Provider location: United States”
From employer posting metadata - Minimum experience (years)
- 6
“6+ years of experience designing digital products, with a strong portfolio spanning UX and visual design.”
See matched passage in original description ↓ - Employment type
- FullTime
- Compensation
- USD 200,000–250,000 1 YEAR
6 fields not stated in this posting
- Employer sponsorship
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Work authorization
- Not specified
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Original job description
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About Tribe AI:
At Tribe, we’re on a mission to help enterprises realize the value of AI for their business. Every large enterprise wants to use AI to transform how they operate — but many don’t have the capabilities to do it. That gap is our opportunity.
We’re an AI-native services company that helps enterprises build and deploy best-in-class AI products that deliver real business impact. We partner closely with OpenAI and Anthropic, giving us rare visibility into the most advanced models, roadmaps, and GTM strategies in the world.
About the Role
We're looking for a Forward Deployed Product Designer to craft elegant, intuitive experiences for AI agents and complex enterprise systems. You'll partner with forward-deployed PMs and client teams, translating AI capabilities into clear conversational flows and interactions.This role requires someone who can parachute into projects, contribute to discovery workshops, and prototype rapidly. You're comfortable with ambiguity and defining UX patterns for novel AI capabilities that don't have established conventions yet.
Key Responsibilities:
Product Design & Delivery
Lead design for AI agent experiences (chat and voice) — conversation blueprints, multi-turn flows, escalation paths, and error handling
Map user journeys, design information architecture, and create wireframes that bring clarity to complex workflows.
Translate abstract AI capabilities into approachable user experiences that drive adoption and trust.
Simplify complex workflows and data interactions through clear, thoughtful design.
Deliver clickable prototypes that visualize future-state product experiences for stakeholder validation.
Collaboration & Strategy
Support discovery by contributing design expertise on AI agent patterns, interaction models, and conversation design
Co-facilitate workshops with project teams to define user flows, agent behavior, and experience strategy
Ground design decisions in user research, feedback sessions, and real-world constraints.
Balance innovation with practicality — ensuring your designs can scale in real production environments.
Contribute to internal design playbooks and reusable design systems that raise the bar across engagements.
About You:
6+ years of experience designing digital products, with a strong portfolio spanning UX and visual design.
Deep experience designing AI agent interactions — not just traditional UI, but conversation flows, multi-turn dialogs, and agent behavior patterns
Proficiency in Figma and prototyping tools (e.g., Lovable, Magic Patterns, Bolt, etc.); comfortable creating clickable, interactive demos.
Strong systems thinker who can simplify intricate user journeys without sacrificing clarity.
Adept at collaborating with technical and non-technical stakeholders; confident presenting to senior partners and executives.
Comfortable with ambiguity and defining UX patterns for emerging AI technologies
Experience working in agile environments and contributing to multi-disciplinary product teams. Bonus: Background in HCI, cognitive science, or experience with enterprise AI deployments
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