AI résumé translation for federal employees and veterans
I kept watching the same thing happen. Someone would spend 20 years in federal service — managing hundred-million-dollar programs, leading teams of hundreds, shaping policy that touched millions of people — and then send out a résumé that got ignored. Not because the career wasn't strong. Because the résumé was written for the wrong audience.
Federal and military résumés are built for federal and military hiring. They're long, duty-statement-heavy, full of grade codes and agency acronyms that signal credibility inside the institution and register as noise outside of it. The same career, written for a government hiring manager, is almost illegible to a private-sector recruiter or a defense contractor HR team.
The translation problem is specific and learnable — but it requires knowing both worlds. What does "GS-13 Program Analyst" mean to a tech company? How do you convert a battalion S4 role into language a logistics firm understands? What do you do with eight pages of federal résumé when the job posting says two pages maximum?
There are human résumé writers who specialize in this, but they cost $300–600+ and have turnaround times measured in days. There are generic AI tools, but they don't know what an AFSC is, can't map MOS codes to civilian job families, and have no concept of veterans' preference or USAJOBS formatting requirements.
I built Service to Sector to be the thing that actually knows this domain. Jordan, the AI advisor, asks the questions that surface what's really in a federal or military career — the budget, the headcount, the outcomes — and produces a résumé that speaks to wherever the customer is headed next. Private sector, government, defense contractor, nonprofit. All directions, all backgrounds.
Launched in early 2026. $97 one-time. Still early but the timing turned out to matter — federal workforce changes this year created a lot of people suddenly navigating this exact problem for the first time.
The timing observation is sharp — and it actually makes the conversion problem more urgent, not less. When demand spikes from a news cycle, the window to capture it is short. People search once, land on your page, and either buy or move on. There's no "I'll come back."
With a $97 one-time purchase and no trial, your landing page is doing 100% of the selling. The leak at this stage is almost always trust — someone who's spent 20 years in federal service doesn't hand over $97 to an AI tool they just found unless the page makes them feel like it was built specifically for someone like them.
The scattered audience problem you mentioned (different queries by branch, grade, direction) — that's actually a positioning leak before it's an SEO problem. What does your current hero section say?