Lead Product Designer

1mind

1d•$185,000 - $220,000•Remote

About The Position

1mind is building Superhuman AI for GTM, AI agents that talk to buyers over voice and chat, reason across context, and take action across the customer journey. As Lead Product Designer, you'll help define how people interact with this new class of software across buyer-facing experiences, our Console, AI-assisted workflows, and the systems that connect them. This is a hands-on senior IC role for a designer who loves making complex products feel simple. You'll work on problems that don't always have established interaction patterns yet: how a user understands what an AI agent is doing, how they guide or correct it, when the AI should act versus ask, how much control to expose, and how sophisticated configuration can feel approachable without losing power. You'll partner closely with Product and Engineering from the earliest problem framing through shipped product. We expect designers here to talk directly to customers, prototype early, explore multiple directions quickly, and stay close to implementation. You'll have meaningful ownership over both the experience itself and the design patterns that make 1mind feel coherent as the product grows. This is a fast-moving company and a high-ownership role. We're looking for someone who gets energy from that; a designer with strong product instincts, exceptional interaction and visual craft, and the judgment to know when to move quickly and when the details really matter.

Requirements

8+ years of product design experience, ideally with complex B2B SaaS or similarly sophisticated digital products
A portfolio that demonstrates exceptional interaction and visual design craft — not just strong process
Experience simplifying complex workflows, configuration-heavy products, admin experiences, workflow builders, data-rich interfaces, or other products with meaningful depth and state
Strong product judgment — able to participate in defining what should be built, not just how a predetermined feature should look
Comfort moving from ambiguous problem to concrete interaction model without needing every requirement defined upfront
Experience running your own usability research and talking directly with customers
Strong systems thinking, with the ability to see how individual workflows and screens fit into a broader product model
A bias toward prototyping and making ideas tangible early rather than relying only on static mocks or lengthy documentation
Strong attention to detail and the ability to carry a high craft bar through the final shipped experience
Comfort partnering deeply with engineers and understanding technical constraints well enough to make thoughtful design tradeoffs

Nice To Haves

Experience designing AI-native or agentic products, especially experiences involving trust, control, automation, uncertainty, or human-AI collaboration
Prior experience at an early-stage or high-growth startup, comfortable moving with speed and ambiguity
Experience with complex enterprise software, workflow tools, integrations, or configurable platforms
Fluency with modern AI and code-based prototyping tools such as v0, Lovable, Figma Make, Cursor, Claude Code, or similar tools as part of your regular workflow
Experience evolving or contributing to a design system while actively shipping product
Background that includes exposure to revenue or go-to-market technology

Responsibilities

Own product design from problem framing through research, interaction design, high-fidelity UI, prototyping, implementation, and iteration
Design new interaction patterns for human-AI collaboration — helping users understand, guide, trust, and stay in control of increasingly autonomous software
Simplify complex workflows across configuration, integrations, multi-step workflows, system states, permissions, and other sophisticated B2B product experiences
Shape both buyer-facing experiences and the products our customers use to configure, deploy, understand, and manage their Superhumans
Partner closely with Product and Engineering to define the problem and solution together, rather than waiting for a finished brief or requirements document
Prototype early and often using Figma, AI prototyping tools, and code-based tools where useful to make ideas tangible and test interactions before investing heavily
Run customer conversations and usability sessions directly, observing how people actually use the product and turning those insights into better experiences
Move comfortably between systems-level thinking and detailed interaction and visual design — from the underlying product model to the final state, transition, copy, and polish
Stay involved through implementation and design QA so the quality of the shipped experience matches the intent
Evolve our design system and reusable interaction patterns as the product grows, creating consistency without slowing the team down
Use product data, customer feedback, and observed behavior to understand whether what we shipped actually made the experience better