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Altana AI

AI-driven global supply chain mapping platform

Head of Product Design

Product DesignConfirmed live in the last 24 hours
Full-timeBrooklyn, NY, USA$240k - $300k /yrIn-person

About the Job

Requirements

  • 10+ years of experience in product or user experience design, including 4+ years leading design organizations in complex, multi-product business-to-business or enterprise software-as-a-service environments.
  • A portfolio demonstrating ownership of a design system actively used by non-designers, such as engineers, product managers, and ideally AI tooling, to ship production experiences.
  • Demonstrated experience designing AI-mediated or agentic in-product experiences, including trust, provenance, confidence, human-in-the-loop review, and graceful-failure patterns.
  • Experience designing across multiple personas and organizations that share workflows, such as collaborative software-as-a-service, multi-sided platforms, marketplaces, or network products.
  • Strong product instincts and comfort owning outcomes against business and network metrics, including activation, time-to-value, adoption, k-factor, and product-qualified leads, rather than only design quality metrics.
  • Hands-on fluency with modern AI tools in design and prototyping practice, using them to generate, critique, prototype, and accelerate work.
  • Technical fluency with design-to-code topics including design tokens, component APIs, CSS, React or willingness to learn it, accessibility standards, and tooling connecting design systems to production code.

Responsibilities

  • Define the structure, deliverables, measures, and leverage-based scaling approach for an agent-first design team.
  • Hire, develop, and lead designers who use AI as a teammate and medium, prototype in code with AI assistance, design with agents, and treat the design system as a high-leverage product.
  • Establish rituals, review forums, and quality bars that keep a small design team accountable for a multi-product, multi-persona network experience without becoming a bottleneck.
  • Promote working prototypes, agent-generated variants, and live demos as core ways of communicating design work.
  • Own the vision for Altana's design system as an enablement layer for product managers, engineers, and AI agents building user-facing experiences.
  • Define the design system's patterns, tokens, content rules, interaction grammars, and accessibility guarantees so that they are semantic, composable, and legible to AI.
  • Build the design system contribution model, documentation, and tooling, including AI-native authoring and review tools.
  • Measure design-system leverage through experiences shipped without direct designer involvement, pattern propagation speed, and prevented rework.
  • Evolve product experiences into agent-native workflows in which agents act, explain, ask, and hand off to humans, while humans confirm, correct, escalate, and delegate.
  • Define visual and interaction patterns for agent reasoning, provenance and citations, confidence and uncertainty, interruption and consent, task previews, human-in-the-loop review queues, and user trust or distrust of agent actions.
  • Partner with product and engineering to surface agent capabilities within existing workflows for the appropriate persona and step.
  • Design agent surfaces for both successful and failed operation and support transitions between agent-mediated and direct-manipulation modes without loss of context.
  • Own end-to-end design strategy for product areas spanning enterprise supply chain mapping, customs and entry management, PLM/ERP integration, government and regulatory tools, logistics workflows, and financial services.
  • Design for multiple personas and AI agents collaborating around shared objects such as Product Passports, shipments, and risk signals.
  • Create a design system that maintains coherence across products while adapting to roles, surfaces, and use cases.
  • Design collaboration features including shared workspaces, cross-organization handoffs, comments, approvals, and safe trust and access patterns.
  • Operate as a peer to Product, Engineering, and Data Science leadership, shaping strategy, making trade-offs, and owning business and network outcomes.
  • Connect design investment to activation, time-to-value, workflow completion, multi-party adoption, network k-factor, and product-led expansion metrics.
  • Lead customer research and discovery as a strategic capability and use findings to influence what is built.
  • Communicate design vision to align executives, the board, customers, and prospective hires around design's competitive value.
  • Partner with Engineering on the design-to-code pipeline, shared primitives, AI-assisted generation, automated accessibility and visual regression, and a contribution model for front-end engineers.
  • Partner with Product on roadmap and discovery through open prototyping rather than handoff-gated processes.
  • Partner with Customer Experience, Marketing, and Sales to align the product experience, AI-consumable documentation, and company communications.

Desired Qualifications

  • Experience designing data-dense, decision-support, or analytical experiences such as supply chain visualizations, knowledge graphs, dashboards, or regulatory workflows.
  • Experience in a high-growth, zero-to-one environment building and running a design organization.

About the Company

Altana AI

AI-driven global supply chain mapping platform

Altana AI provides an AI-powered Altana Atlas, a real-time map of the global supply chain for manufacturers, distributors, and retailers. The platform uses AI to automate tasks, guide searches, surface alerts and recommendations, and enable real-time collaboration among all stakeholders, drawing on data from over 120 million supply chain links (about half proprietary). It differentiates itself with a shared, up-to-date map and significant proprietary data that power automated insights and actions for everyone involved. The goal is to help supply chains run more safely, efficiently, and responsibly, while reducing disruptions and supporting solvency and insurance readiness.

Company size
201-500
Company stage
Series C
Total funding
$323.5M
Headquarters
New York City, New York
Founded
2018

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