Sr Product Designer

Pirros•Los Angeles, CA

12d

About The Position

We’re hiring a Senior Product Designer to be a core partner to Product and Engineering as we design the next generation of Pirros. We’re looking for someone who enjoys starting from messy workflows, constraints, data, and working through them with the team to design systems that make sense. Must be comfortable constantly prototyping, testing, and iterating rather than waiting for a “perfect” solution. Product and Design work very closely from discovery through delivery , and designers are part of shaping what we build, not just how it looks. Engineers are collaborative and expect design to be in the room for scope, architecture tradeoffs, and sequencing discussions. We care about building an AI-first, workflow-deep product , not just features — and design is central to making that usable.

Requirements

5–8+ years of product design experience, preferably in B2B SaaS with complex workflows (e.g., vertical SaaS, data-heavy tools, internal platforms).
Experience working in or adjacent to AEC, construction tech, or other professional services is a big plus; curiosity about the space is required.
Strong at interaction design and UX systems thinking — you’re comfortable designing not just screens, but the logic, states, and flows behind them.
Comfortable designing for multi-step, multi-persona workflows where information moves between different roles and tools.
You have a bias toward prototyping: you’d rather show and test than debate endlessly in docs.
Able to collaborate closely with PMs and engineers, give and receive feedback, and advocate for users while keeping an eye on technical and business constraints.
Comfortable starting from ambiguous problem spaces and iterating toward clarity with low-fi diagrams, user flows, and prototypes before polishing UI.
Portfolio that shows complex product work, not just marketing pages — we want to see how you think through workflows, edge cases, and tradeoffs.

Nice To Haves

Experience in AEC, BIM, construction, industrial, or other deeply operational domains.
Experience designing around data-heavy products (analytics, rules engines, workflow tools, admin consoles).
Familiarity with AI/LLM-powered UX patterns (summarization, suggestion, natural language input) and how to integrate them without overwhelming users.
Experience at an early-stage startup where you’ve had to balance speed, quality, and incomplete information.

Responsibilities

Workflow & UX Design Partner with Product to map end-to-end workflows across QA/QC, project operations, and collaboration.
Translate these workflows into flows, information architectures, and interaction patterns that can support deep, repeatable use over time.
Own the UX for core product areas from early concept → detailed design → support during implementation.
Collaborate closely with PMs during problem framing, concept exploration, and refinement of user journeys.
Take initial ideas and discovery outputs and turn them into robust UX and UI that can actually ship.
Use constant prototyping (low-fi wireframes, interactive prototypes, quick iterations) to explore options, validate assumptions with users and internal stakeholders, and de-risk decisions before engineering commits.
Work hand-in-hand with engineering to scope designs realistically, iterate with technical constraints, and maintain product quality through delivery.
Help refine and maintain design guidelines, patterns, and components, so the product feels cohesive as it grows.
Join customer calls, discovery sessions, and workflow deep dives to understand how AEC firms actually work today.
Turn customer feedback and observation into design hypotheses, prototypes, and experiments.
Help articulate tradeoffs: what we simplify, what we automate, what we expose, and what we intentionally leave out.
Design interfaces that work with messy, structured + unstructured data (rules, model metadata, RFIs, issues, histories) without overwhelming users.
Think in systems: how a change in one part of the product (e.g., QA/QC rules) affects other areas (e.g., projects, reporting, collaboration).
Partner with Product and Engineering to explore how AI-powered features (summaries, suggestions, natural-language rule creation) can be woven into everyday workflows in a way that feels helpful, not gimmicky.