Run of 21 Sep,
Reads every board on your roster now, screens every posting, and reads the survivors in full.
Cairnwater sells asset-management software to water utilities and cities. The seat is fully remote and asks for exactly the technical, long-cycle utility sale Jordan has run. Municipal buyers are new, but the posting treats that as a preference and the procurement experience carries over. Hard lines clear; municipal experience is preferred, so it stays soft.
lo = min(S, D) = 7.9 — gates 9–10
Fit 8
Pro finds the likely hiring manager and their boss for every kept role, and drafts a note to each. Upgrade in Account & billing.
Kestrel Grid sells outage-management software to electric utilities and wants a strategic account executive who already knows how a utility buys. Jordan has sold into utility planning and operations teams for four years and carried a larger quota than the one posted. The seat is remote within the Mountain time zone, which the profile allows. All hard lines clear; the procurement line clears on two public-utility procurements in the last role.
lo = min(S, D) = 8.1 — gates 9–10
Fit 8
Pro finds the likely hiring manager and their boss for every kept role, and drafts a note to each. Upgrade in Account & billing.
Larkspur sells climate-risk analytics to utilities and insurers and wants an enterprise account executive in Denver who can run a technical, data-heavy sale. Jordan clears the quota, tenure and territory lines outright and has sold risk models to the same utility buyers for four years. The one soft line is insurer experience, which is adjacent rather than missing. Every hard requirement clears. Insurer experience is listed as preferred, not required, so it does not cap the fit.
lo = min(S, D) = 8.2 — gates 9–10
Fit 8
Pro finds the likely hiring manager and their boss for every kept role, and drafts a note to each. Upgrade in Account & billing.
Alder Risk sells catastrophe-model software to insurers and reinsurers. The selling motion matches Jordan's, technical and data-heavy with a long cycle, but the buyer is one Jordan has only sold to at the edges. The posting asks for insurance-industry relationships, which is the line that holds the fit at 7. One evidence-of-craft line, existing relationships with insurance buyers, cannot be shown from the profile; capped at 7.
lo = min(S, D) = 6.9 — gates 9–10
Fit 7
Pro finds the likely hiring manager and their boss for every kept role, and drafts a note to each. Upgrade in Account & billing.
Juniper Ridge sells claims software to property insurers. Jordan clears every hard line and the pay is above the floor. Insurers are an adjacent buyer and the product is workflow software rather than analytics, so the seat is less technical than the profile prefers. All hard lines clear; the product is less technical than the profile prefers.
lo = min(S, D) = 6.6 — gates 9–10
Fit 7
Pro finds the likely hiring manager and their boss for every kept role, and drafts a note to each. Upgrade in Account & billing.
Marlow & Finch sells commercial-property risk software to lenders and insurers. Jordan clears the tenure, quota and remote lines, and the product is data-heavy in the way the profile prefers. Pay is not posted and the buyer is finance rather than utilities, so the fit stays at 7. No hard line fails; the buyer and the unposted pay are why it is not an 8.
lo = min(S, D) = 7.0 — gates 9–10
Fit 7
Pro finds the likely hiring manager and their boss for every kept role, and drafts a note to each. Upgrade in Account & billing.
Ptarmigan makes sensors and analytics for wind and solar operators and wants a senior account executive in Golden. Jordan clears every hard line, including the technical-sale and Colorado lines. The base range starts under the profile's $120,000 floor, though its top is above it, which holds the fit at 7 rather than throwing it out. The pay range straddles the floor; no line fails.
lo = min(S, D) = 6.8 — gates 9–10
Fit 7
Pro finds the likely hiring manager and their boss for every kept role, and drafts a note to each. Upgrade in Account & billing.
Redcliff sells a data platform to mid-size enterprises and wants an enterprise account executive in its Denver office. Jordan clears the tenure and quota lines and the Denver line. The buyer is any industry rather than utilities or energy, so it is a general enterprise seat rather than the technical utility sale the profile prefers. All hard lines clear; the industry preference in the profile is the only reason it is a 7.
lo = min(S, D) = 6.8 — gates 9–10
Fit 7
Pro finds the likely hiring manager and their boss for every kept role, and drafts a note to each. Upgrade in Account & billing.
Sable Point sells asset-management software to infrastructure owners, including utilities and transit agencies. It is a Denver seat with the technical sale the profile wants. The posted base starts below the floor and the seat is mid-market rather than enterprise, which together keep it at 7. The pay range straddles the floor; the seat is mid-market.
lo = min(S, D) = 6.6 — gates 9–10
Fit 7
Pro finds the likely hiring manager and their boss for every kept role, and drafts a note to each. Upgrade in Account & billing.
Tenmile sells inspection robots and the software that reads their data to energy operators. The buyers are Jordan's, the location works, and the deal size is similar. Robotics is a hardware-led sale with site visits, which the profile has not done, so the fit is 7. The hardware line is a craft line the profile cannot show; capped at 7.
lo = min(S, D) = 6.7 — gates 9–10
Fit 7
Pro finds the likely hiring manager and their boss for every kept role, and drafts a note to each. Upgrade in Account & billing.
Bellhaven sells analytics to hospital systems. The seat is enterprise, technical and in Denver, and the pay clears. Health systems are a buyer Jordan has never sold to and the posting asks for it, which keeps this a stretch. The healthcare line does not clear; kept as a stretch because everything else does.
lo = min(S, D) = 5.9 — gates 9–10
Fit 6
Pro finds the likely hiring manager and their boss for every kept role, and drafts a note to each. Upgrade in Account & billing.
Copperline sells load-forecasting software to utilities, and this sales-engineer seat carries a commission plan, which the rule taught on 21 September says makes it a wanted seat. Jordan knows the buyer and the product category well; the seat is pre-sales rather than closing, which is why it is a stretch. Kept under rule 9; a pre-sales seat, not a closing seat.
lo = min(S, D) = 6.0 — gates 9–10
Fit 6
Pro finds the likely hiring manager and their boss for every kept role, and drafts a note to each. Upgrade in Account & billing.
Highline sells routing software to regional carriers. It is a Denver seat and Jordan clears the selling lines, but the base starts well under the floor and the sale is mid-market and less technical than the profile wants. The base range only just reaches the floor, and the seat is mid-market; a stretch.
lo = min(S, D) = 5.6 — gates 9–10
Fit 6
Pro finds the likely hiring manager and their boss for every kept role, and drafts a note to each. Upgrade in Account & billing.
Larkspur's second seat sells the same analytics to insurers, at a lower level and a lower base. Jordan clears the tenure and Denver lines, but the base sits under the floor and the buyer is one Jordan has not sold to directly. A base below the floor and an unmet insurer line; kept at 6 because the top of the range reaches the floor.
lo = min(S, D) = 6.1 — gates 9–10
Fit 6
Pro finds the likely hiring manager and their boss for every kept role, and drafts a note to each. Upgrade in Account & billing.