Team : Numberz.ai — Should‑Costing & Wealth Apps
- Location : Remote (ET hours)
You like turning messy into clear. You ask good questions, sketch quick flows, and write down what "done" means. You pick tools for the job— horses for courses : a one‑pager to align, a Miro map to spot gaps, a Figma wire to test an idea, a spreadsheet to check the math. You notice how people actually work—on a shop floor pricing parts or in a portfolio review—and you enjoy helping them get from A to B with fewer steps. Bonus points if you love machines (BOMs, RFQs, POs make you curious) or you've placed a trade and felt that beat between click and confirm.
We're building the Numberz.ai Wealth SuperApp and the Should‑Costing + Negotiation Copilot . You'll help take features from discovery → spec → handoff → UAT → post‑launch iteration .
Mission : Turn ambiguity into crisp requirements, clean data, and simple flows—and close the loop after launch.
What you'll do
Shadow users (buyers, suppliers, advisors); run short interviews; map current → target workflows.Write one‑pagers and user stories with clear acceptance criteria (Given / When / Then); track decisions.Draft wireframes in Figma and process maps in Miro to align on UX and edge cases.Reconcile data across sources (BOM / RFQ / PO or holdings / IPS); define field mappings; prepare sample datasets .Run UAT : create scripts, seed masked data, log issues, retest; help keep release notes tidy.Build lightweight metrics (Sheets / Looker Studio / Retool) to measure if a change worked.After release, review analytics / feedback, summarize insights, and propose the next iteration.How you'll use GenAI (Cursor / ChatGPT & friends)
Turn interview notes into draft user stories; generate edge‑case lists and test data.Convert OpenAPI / CSV fields into draft mappings and basic SQL—then verify with the team.Summarize PR diffs and write draft changelog notes; never ship blindly.How we work (principles)
Prototype to learn; words first. Clear language before fancy UI.Small batches. Align with a one‑pager, then iterate.Source of truth. Decisions live where the team can find them.Mirror prod safely. Masked data in UAT; contracts checked; no "works on my laptop."Close the loop. Ship, observe (metrics + user quotes), and adjust.Jargon‑light, clarity‑heavy. Use names people can guess; design for recovery.What you bring
0–2 years in product / ops / consulting / BA (internships welcome) and strong writing.Comfortable with spreadsheets , tidy docs, and basics of Figma / Miro ; SQL curiosity is a plus.Organized, proactive, great at async communication and time management.Domain curiosity in manufacturing / should‑costing or wealth ; you like learning how work really happens.Nice to have
Hands‑on with BOMs / RFQs / POs or portfolios / IPS; Excel power moves (Pivot / XLOOKUP).Basics of analytics / experiments; Tableau / Looker Studio; Python / pandas curiosity.You've toured a plant or traded yourself.We move fast and promise to close the position in less than a week!
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Skills Required
Figma, Pandas, Tableau, Spreadsheets, Sql, MIRO, Python
