FieldFlō is a management platform designed for specialty subcontractors in construction and field services, aiming to streamline operations and improve project visibility. They are seeking a Product Designer who is AI-native to collaborate with the product team in designing end-to-end experiences that integrate AI capabilities within their software. The role involves making foundational design decisions and enhancing clarity across various workflows.
Responsibilities:
- Design end-to-end experiences across estimating, planning, field execution, and back-office workflows — including both AI-augmented and traditional product capabilities — translating messy real-world inputs (drawings, surveys, photos, voice, forms) into clear, opinionated interfaces
- Improve clarity, defaults, and information hierarchy across the broader product surface — onboarding, navigation, settings, and workflows that don't involve AI at all. The product needs both kinds of design work and you'll do both
- Make foundational design decisions about how AI surfaces in the product where it does appear: how suggestions are presented, how confidence and uncertainty are communicated, how users accept, reject, or refine assistance, and where humans must stay in the loop
- Partner closely with Product and Engineering early in the process — not just refining solutions late, but helping shape what gets built and why
- Bring clarity and consistency to workflows that are currently complex or fragmented, with strong systems thinking across roles (field → office → finance) and long job lifecycles
- Use Claude heavily across your day-to-day design workflow — prototyping, design execution, research synthesis, and engineering handoffs. We expect you'll be visibly more productive because of it
- Help establish foundational design patterns — for AI-augmented features and for the broader product surface alike — that future designers can build on
Requirements:
- 3–5 years of experience designing complex digital products, with at least 2 years in B2B SaaS (ideally workflow-heavy, operational, or compliance-driven software)
- Heavy hands-on use of Claude — or equivalent tools — for prototyping, design execution, research synthesis, and engineering handoffs. If you're not on Claude today, you should be ready to make it your daily driver here. Concrete examples expected of how you use AI tools in your actual design workflow today
- A portfolio of shipped product design work you can walk through in detail — including at least one example of designing for systems with AI/probabilistic components, multi-role workflows, or significant real-world complexity
- Strong systems thinking — able to reason across flows, states, edge cases, and roles
- A high-ownership, fast-moving operating style — you think in hours and days, not weeks and quarters, and bring momentum to everything you touch
- The ability to make and defend independent design decisions with clear product rationale
- Comfort working in ambiguous problem spaces and shaping clarity from incomplete inputs
- Experience in vertical SaaS, especially construction, field service, or other operationally complex industries
- Experience designing AI/ML product features — recommendations, intelligent automation, document extraction, copilots, or similar
- Experience designing for multi-role workflows that span field, office, and finance personas
- Familiarity with specialty subcontracting — demolition, abatement, environmental remediation, or adjacent trades
- Experience as the second or third designer in a growing org