PageSourceSearch

https://careerdiary.io/assets/TailorResultPreview-BK65Lq2Z.js

js careerdiary.io collected 2026-09-24 15:03:52 UTC 6,152 bytes, 45 lines download raw bytes

1import{j as e}from"./animation-CddyXVCz.js";import{T as l,B as p}from"./TransformationGaugeCompact-DA6af00s.js";import"./react-vendor-CbN3pvl2.js";import"./index-CGKNpi9E.js";import"./supabase-iKSPld20.js";import"./docgen-Bp8WKBAE.js";import"./query-DPqpbKNH.js";import"./tailorOutcome-9inHuXL0.js";const m=`SUMMARY
2Senior Product Leader and Founder with 11+ years of experience driving product strategy and technical execution for enterprise SaaS and public-sector platforms.
3
4SKILLS
5Product strategy, roadmapping, stakeholder management, SQL, Figma, team leadership.
6
7PROFESSIONAL EXPERIENCE
8Founder, CareerDiary (2021 – Present)
9- Responsible for defining the overall product vision and strategy while also building the entire AI-powered career platform end to end, including the frontend, backend and data layers, and handling all of the product decisions along the way.
10- Worked on a variety of growth experiments and activation initiatives across the funnel over time.
11
12Director of Product, Deloitte Digital (2016 – 2021)
13- Helped lead a team of eight people across three different enterprise modernization programs and was involved in roadmap planning and stakeholder communication throughout the engagements.
14
15Senior PM, GovTech (2014 – 2016)
16- Successfully shipped a benefits-eligibility tool that was used by approximately 40,000 residents across the state.
17
18EDUCATION
19MBA, Product Management — State University, 2014.`,i=`SUMMARY
20Senior Product Leader with 11+ years defining and executing product strategy for AI-powered SaaS platforms, specializing in ML-driven features and product-led growth.
21
22SKILLS
23Product strategy, roadmap, AI / ML platform, embeddings, A/B testing, React / Node, SQL, stakeholder management, product-led growth.
24
25PROFESSIONAL EXPERIENCE
26Founder, CareerDiary (2021 – Present)
27- Owned product vision and roadmap for an AI-powered career platform end to end.
28- Built the embeddings-powered matching core in React / Node and shipped it to production.
29- Drove A/B growth experiments that lifted activation 32% in two quarters.
30- Launched a Pro tier that converted 8% of active users within 60 days.
31
32Director of Product, Deloitte Digital (2016 – 2021)
33- Led a team of 8 across three enterprise modernization programs.
34- Cut release-cycle time 40% by introducing dual-track agile.
35- Drove $4M in new platform revenue through roadmap re-prioritization.
36
37Senior PM, GovTech (2014 – 2016)
38- Shipped a benefits-eligibility tool used by 40,000+ residents.
39- Reduced application errors 28% with a redesigned intake flow.
40
41EDUCATION
42MBA, Product Management — State University, 2014.`,g={skillsFound:["AI / ML platform","embeddings","A/B testing","React / Node"],keywordsFound:39,totalKeywords:50},u="Your founder experience was reframed to lead with the platform's AI/ML core and the React/Node architecture the role names directly. Eleven job-description keywords were woven into existing bullets — no fabricated experience.",h=`JORDAN RIVERA
43[email protected] | 555-0100 | Seattle, WA`,f={fullName:"Jordan Rivera",contactInfo:"[email protected]",summary:"Senior Product Leader with 11+ years defining and executing product strategy for AI-powered SaaS platforms and product-led growth.",experience:[{id:"p1",jobTitle:"Founder",company:"CareerDiary",dates:"2021 - Present",accomplishments:[{id:"pa1",description:"Owned product vision and roadmap for an AI-powered career platform end to end, built in React and Node."},{id:"pa2",description:"Ran growth experiments across the activation funnel and launched a Pro tier."}]},{id:"p2",jobTitle:"Director of Product",company:"Deloitte Digital",dates:"2016 - 2021",accomplishments:[{id:"pa3",description:"Led a team of 8 across three enterprise modernization programs with roadmap planning."}]},{id:"p3",jobTitle:"Senior PM",company:"GovTech",dates:"2014 - 2016",accomplishments:[{id:"pa4",description:"Shipped a benefits-eligibility tool used by 40,000 residents across the state."}]}],education:[{id:"pe1",degree:"MBA, Product Management",university:"State University",dates:"2014"}],skills:["Product strategy","roadmap","SQL","stakeholder management","React","Node","A/B testing","product-led growth","AI / ML platform"]},P=()=>{const t=typeof window<"u"?new URLSearchParams(window.location.search).get("variant"):null,o=t==="no-upload",n=t==="empty-before",r=t==="provenance",a=t==="overlength",s=o||r||a?"":n?h:m,d=a?i+`
44`+Array.from({length:60},()=>"- Drove cross-functional initiatives across product, design, and engineering to ship on time every quarter.").join(`
45`):i,c=o?"· Diary-only (single column)":n?"· Body-less before (gate → single column)":r?"· Provenance flags (AI-added — review)":a?"· Over-length note (1-page target)":"· Uploaded resume (side-by-side)";return e.jsx("div",{className:"rt-app min-h-screen",children:e.jsxs("div",{className:"max-w-6xl mx-auto px-6 py-10",children:[e.jsxs("div",{className:"mb-2 text-xs font-mono uppercase tracking-widest text-gray-500",children:["Resume Tailor — Result ",c]}),e.jsx("h1",{className:"rt-heading-font text-4xl font-bold mb-1",children:"Tailored for Senior Product Manager, AI Platform"}),e.jsx("p",{className:"text-gray-500 mb-8",children:"at Verra Mobility · 1 page · ATS-ready · Jun 12, 2026"}),e.jsxs("div",{className:"grid grid-cols-1 lg:grid-cols-[260px_1fr] gap-6 items-start",children:[e.jsx("div",{className:"lg:sticky lg:top-6 space-y-4",children:e.jsx(l,{originalScore:62,tailoredScore:91,isAnimating:!1})}),e.jsxs("div",{className:"space-y-6",children:[e.jsx(p,{originalContent:s,tailoredContent:d,isStreaming:!1,streamProgress:100,profile:r?f:null,alignmentImprovement:46,alignmentDetails:g,changeSummary:u,targetPageCount:a?1:void 0}),e.jsxs("div",{className:"flex flex-wrap items-center gap-3",children:[e.jsx("button",{className:"iconic-btn-primary",children:"↓ Download PDF"}),e.jsx("button",{className:"iconic-btn-secondary",children:"Download Word"}),e.jsx("button",{className:"iconic-btn-ghost",children:"Copy text"}),e.jsx("button",{className:"iconic-btn-ghost",children:"Edit"})]})]})]})]})})};export{P as TailorResultPreview,P as default};

Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.