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Job Description & How to Apply Below
Salary : USD / year (based on experience)
Expected Notice Period : 15 Days
Shift : (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type :
Remote
Placement Type :
Full Time Permanent position(Payroll and Compliance to be managed by: Premium cannabis brand redefining clean, elevated experiences through creativity and innovation.)
(
* Note:
This is a requirement for one of Uplers' client - Premium cannabis brand redefining clean, elevated experiences through creativity and innovation.)
What do you need for this opportunity
Must have skills required:
Power
BI, LLM APIs, Make, n8n, SQ, Zapier, Python, Tableau
Premium cannabis brand redefining clean, elevated experiences through creativity and innovation. is Looking for:
About Crystal Clear California Crystal Clear California is a premium cannabis vape brand distributing across the United States. The company manufactures and sells disposable vapes and 510-thread cartridges through a network of licensed retail cannabis dispensaries. Crystal Clear operates with a direct sales model backed by a large freelance sales force, supplying product to over 300 retail stores and generating approximately $200,000 in monthly revenue.
The business is now at an inflection point. With 300+ retail partners, 10+ direct sales representatives, and 30 freelancers managing those relationships, Crystal Clear has more sales data than it can process manually. The next phase of growth requires someone who can unlock that data, build intelligence systems around it, and use those insights to drive measurable revenue growth.
The Role You will work directly with Doug Helfman (CEO) and the broader sales team. Your mandate is threefold:
Build the data and AI infrastructure that Crystal Clear currently lacks Surface insights that improve sales rep performance across 300+ retail accounts Personally execute growth initiatives including outreach to underperforming and dormant accounts (post Month
3) What This Role Is — And Is Not Responsibilities by Phase Data Audit & Centralization Map all available data sources: retail sales, inventory levels, order frequency, pricing, rep activity logs, product mix by store Identify what data is clean, what is inconsistent, and what is missing entirely Centralize into a single source of truth that Doug and reps can trust Master Dashboard Build a live dashboard covering all 300+ retail accounts showing:
Sales volume by store (weekly and monthly trend) Product mix: which SKUs are selling where Inventory velocity: products flying vs. stagnant Rep territory performance: total sales, active store count, variance between reps Churned and at-risk accounts: stores with declining or zero activity Automated Insights Report Weekly automated report delivered to Doug covering:
Top 10 performing stores and what is driving their results Bottom 10 underperformers with hypotheses on root cause Accounts at risk of going dark in the next 30 days Fastest-moving and slowest-moving SKUs Sales Rep Territory Dashboards Individual dashboards for each rep showing their stores vs. the portfolio average Product recommendations per store: what should they be pushing this week Inventory alerts: which stores need a call today Store Opportunity Scoring Build an AI-driven model scoring each of the 300+ stores on growth potential Inputs: current sales vs.
theoretical capacity, local demographics, product penetration, inventory turnover rate Output: prioritized list of stores with highest untapped revenue potential Churn Risk Prediction Identify which stores are likely to go inactive before it happens Inputs: order frequency, velocity trends, last order date, rep engagement frequency Output: automated alerts to reps when a store crosses a risk threshold, with suggested intervention Product Recommendation Engine Per-store product recommendations based on historical category performance Example output: ''''Store #42 over-indexes on disposables vs.
the market — offer the cartridge line with a trial allocation'''' Rep Performance Analysis Identify activity patterns that correlate with higher revenue per territory Surface coaching insights: what behaviors do top-performing…
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