Product Manager

1mind

23d•$150,000 - $175,000•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 Product Manager, Platform, you'll work on the 1mind Console, the primary surface where customers configure, deploy, integrate, and manage their Superhuman. The role spans both the customer experience and the reusable capabilities underneath it, from integrations and permissions to configuration models and self-serve administration. The Console already exists and is a critical part of the product today; the opportunity is to make it dramatically more intuitive, coherent, and self-serve as the company scales. You'll spend your time close to real customer behavior — watching people use the product, identifying friction, prototyping improvements, shipping quickly, and iterating — while also helping shape how customers interact with the platform through a new AI assistant that can understand intent and take action on their behalf. This is a high-ownership role with significant surface area. You'll work directly with the Head of Product, partner closely with engineers, design, and customer success, and take over one of the most important product areas at the company — with real freedom to make it much better, and room to grow quickly as you prove out what you can own.

Requirements

4+ years of product management experience, ideally in B2B SaaS
Experience with self-serve products, admin tools, integrations, workflow builders, configuration products, or other complex product surfaces
Strong product judgment — able to look at a complicated interface and form a clear point of view on what's working, what isn't, and why
Comfortable running usability sessions, talking directly to customers, and digging beneath a feature request to find the real problem
Systems thinking — able to reason about how permissions, data, integrations, and configuration connect, and recognize when a fix is bigger than one screen
Technical curiosity — comfortable with APIs, integrations, data models, permissions, and failure modes, without needing an engineering background
A bias toward prototyping ideas quickly using modern AI and design tools rather than debating them in the abstract

Nice To Haves

Prior experience at an early-stage or high-growth startup, comfortable moving with speed and ambiguity
Experience owning a role-based access control (RBAC) or permissions layer
Background that includes exposure to revenue or go-to-market technology
Fluency with AI prototyping and development tools as part of your regular workflow

Responsibilities

Own the Console experience end to end — information architecture, navigation, onboarding, configuration flows, empty states, errors, and how customers encounter complexity over time
Define how an AI assistant helps customers configure and operate the platform conversationally, including what actions it can take and how to make those actions understandable and trustworthy
Design workflow configuration that's expressive enough for advanced use cases while staying understandable to first-time users
Own the customer experience around integrations — authorization, permissions, object and field mapping, sync behavior, and failure and recovery states
Reduce the time and effort required to get a new account to a successful live deployment, and identify which manual moments should become real product experiences
Partner with engineering on the reusable capabilities underneath the UI — configuration, permissions, integrations, and system state — so recurring problems get solved once
Run usability sessions and customer conversations directly, translating friction and feedback into a clear point of view engineering and design can act on
Partner closely with Customer Success to separate one-off requests from the broader product problems worth solving