Product Designer

StratusGrid

19d•Remote

About The Position

StratusGrid is hiring a Product Designer to shape the experience of Stratusphere, an agentic platform that helps companies identify, approve, execute, and verify cloud optimization opportunities. The designer will turn complex cloud, financial, change-management, and automation workflows into clear, trustworthy experiences that help users move from insight to decision to execution. The role spans the full customer journey, including understanding recommendations, evaluating risk, coordinating approvals, executing changes safely, and verifying financial outcomes. Working with Product, Engineering, Customer Success, Cloud Optimization, and customers, the Product Designer will own problems from discovery through implementation and iteration. The work is expected to influence customer confidence, adoption, approval velocity, time to value, and verified savings. This hands-on role also helps develop StratusGrid's design practice, including discovery methods, idea testing, AI-tool usage, engineering collaboration, reusable patterns, and impact measurement.

Requirements

Experience designing multi-step workflows for technical, operational, infrastructure, finance, security, developer, or enterprise users in B2B SaaS products.
Strong workflow and systems thinking, including the ability to reason about role-based experiences, approvals, exceptions, dependencies, operational handoffs, and complex underlying systems.
Ability to conduct or contribute to interviews, usability tests, journey mapping, prototype reviews, and other discovery activities, and make thoughtful tradeoffs across customer needs, business outcomes, technical constraints, scope, speed, and quality.
Strong interaction design and information architecture skills, including organizing complex information, reducing cognitive load, creating clear navigation and interaction patterns, and producing polished flows, prototypes, wireframes, and high-fidelity designs.
Technical curiosity, ability to learn technical domains quickly, effective collaboration with engineers, and comfort using AI-assisted development tools to implement or refine well-scoped product experiences.
Clear communication and ownership: explain design rationale, invite feedback, communicate progress and risks, and remain accountable for experience quality and impact through launch and iteration.
Willingness and ability to travel periodically for customer engagements, team planning sessions, or onsite collaboration.
Ability to work effectively in a distributed team, with reliable high-speed internet, a professional and distraction-limited workspace, and the ability to communicate, collaborate, and execute independently.
Legal authorization to work in the United States at the time of hire; visa sponsorship is not offered.

Nice To Haves

Experience with cloud infrastructure, FinOps, DevOps, security, observability, data platforms, automation, or technical operations.
Experience designing AI-assisted, agentic, recommendation, automation, or decision-support products.
Experience with enterprise approvals, auditability, role-based access, governance, or change-management workflows.
Experience working in an early-stage or high-growth SaaS company.
Experience using product analytics, funnel analysis, behavioral data, or session review to measure and improve product experiences.
Experience with React, TypeScript, GitHub, component libraries, accessibility standards, or production design systems.

Responsibilities

Design end-to-end workflows for discovery, recommendation review, approval, execution, verification, reporting, and continuous optimization.
Translate technical and financial information into clear experiences that explain findings, their importance, recommended actions, associated risks, and next steps.
Partner with customers and internal teams to understand goals, pain points, approval processes, objections, and trust gaps; use interviews, usability testing, prototypes, analytics, and field feedback to identify and validate opportunities.
Define user experiences for agent-generated findings, plans, explanations, and actions, making system reasoning, assumptions, status, human control, auditability, and rollback readiness understandable.
Develop and maintain reusable interaction patterns, components, information architecture, and design-system foundations.
Collaborate with engineers from concept through launch and use AI coding tools to build prototypes, front-end refinements, design-system updates, and other well-scoped improvements.
Use customer feedback, experimentation, and post-launch measurement to reduce workflow friction, increase confidence in AI-generated recommendations and automated actions, and reduce engineering dependency for well-scoped design and front-end improvements.