UX Analyst (Product Workflows) | Field Operations SaaS | Remote (LATAM)Our client is a software company that helps property managers inspect properties and turn what they find into clear, shareable reports.
Someone opens the app on their phone, walks a property capturing photos, video, and voice notes even with no signal, since it works offline and syncs later, then reviews everything and runs reporting on the web.
It plugs into the property-management systems teams already use, so the data doesn't sit in a silo.
They've been at this since ****, profitable and self-funded the whole way, and today more than 20,000 people use it across the U.S. and 20-plus countries, together capturing over 100 million inspection photos.
There's even a new AI feature that turns spoken notes into a finished report on its own, so an inspector can walk a property, say what they see, and skip the typing.Your RoleYou own how work moves through the product from the first step to the last: the steps, the logic, the states, and the handoffs between the phone in the field and the review screen back at the office.
You'll map how property managers actually work, find where a flow gets confusing or breaks, and redesign it so the next person doesn't have to think about it.
There's another designer on the team who leans visual and component-level, so you lean process and flow, and together you cover the whole surface.
This is a design role about how work behaves, not visual polish.
You report to the Head of Engineering, and what you design gets built instead of sitting in a backlog.You'llMap property management workflows end to end, from field capture to sync to review to reportTalk to the people who live in a workflow, then redesign it with fewer stepsWrite the logic, branches, and edge cases behind each flow so engineering builds it right the first timeDesign the offline and retry states so users always know what's happening when the signal dropsPrototype in Figma and check it with quick usability runsHand engineering annotated specs (states, rules, microcopy) they can build from with little back-and-forthReview builds, log precise issues, and confirm the fixes before sign-offYou BringExperience designing complex, multi-step workflows (B2B, SaaS, operations, or field tools).
We care more about how the flows in your portfolio hold up than about a year count, and we'll happily hire someone earlier in their career who clearly has the instinct for thisA portfolio that shows the whole path, problem to mapping to logic to final,



not just polished screensSystems thinking: you design for the states, branches, permissions, errors, and empty cases, not just the happy pathYou write clear flow documentation and specs engineering can build straight fromStrong Figma for mapping, prototyping, and handoffAI fluency: you use tools like ChatGPT, Claude, or Figma AI to move through options and specs faster without lowering qualityA working handle on accessibility (contrast, tap targets, text size, focus order)Bonus PointsService design or process mapping (journey maps, service blueprints, workflow diagrams)Background in workflow-heavy B2B products: property management, field services, logistics, or operations toolingComfort using analytics to confirm a redesigned flow actually performs betterWhat's OfferedFully remote across LATAM, around 40 hours a week, versátil for the right person, with a few hours of overlap during U.S. Pacific business hoursWhat we'd estimate for a role like this: around $2,000 to $4,000 USD a month, based on experience.
Tell us the range that fits you and we'll go from therePaid weekly in USD as a contractorUp to 20 days of paid time off a year (10 vacation days plus 10 local public holidays)A two-person design team where you own the flow sngestion success rate
Target: ≥ 90% of non-standard sources (CSV, screenshot, manual) normalized, validated, and confirmed landing in novaCloud / Omega within 5 business days of receipt
Measurement: Tracked per-source, per client; re-submissions count against first-pass rate
Most Important Things (MITs)
Data Depth: Be the go‐to for any question about how B2B and Lead Gen pipeline data is structured, where it breaks, and how to make it usable — across clean CRM exports and messy unstructured ingress
Unstructured Data Ingestion: Own the hardest part of B2B data onboarding — bringing structure to data that arrives in every format imaginable, using AI‐assisted tooling where applicable
Pre‐Sales Credibility: Show up in sales conversations as a data expert who builds prospect confidence and sets accurate onboarding expectations




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📌 Remote Lead Data Analyst – Product & Retention Analytics (Santa Fe)
🏢 Power Digital
📍 Santa Fe