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Why WinJob Exists

The job market changed.
Career prep didn’t.

WinJob was built for anyone trying to grow in the AI era.

"A gamified Career OS" where you can learn, practise, build your resume, prepare for interviews, and move toward your next opportunity with clarity.

No scattered advice. No boring walls of text. No guessing what to do next.

Just one guided path to help you level up your career.

Built for Everyone.

Jobprepared.
The WinJob penguin in a superhero suit flying upward, cape reading WinJob, right flipper reaching forward and left flipper tucked into its belt pocket.

Boarding complete

Now cleared for takeoff, toward the job you deserve.

Entering the AI realm

AI taking away jobs is real.
Use AI to get your next job

Prepare with AI, from your resume and target role to your system design and next promotion. Explore the tools below and compare plans for access and credits.

IGet ready

Research · Prediction · Evaluator

IIGet seen

Résumé · Fine-tune · Resume ATS

IIIGet ahead

Promotion

Scroll to explore

Gamified Engagement

Explore

A world of possibilities is taking shape.

I · Get ready01 / 07

Interview Research

Know the company before the conversation.

  1. 01Research in one click

    Connect company, role and tech blogs with public customers and roadmap signals where available.

  2. 02Turn sources into preparation

    Explore cited engineering themes, role relevance and practice prompts before the interview.

Know my target company
See it in action

One research action. A cited brief.

Cited interview brief
Northwind Labs

Staff Software Engineer · fictional brief

123456
Low · Medium · High evidence
  1. 1Event-driven corehigh
  2. 2Idempotent consumershigh
  3. 3Capacity planningmedium
  4. 4Multi-service ownershipmedium
  5. 5Read-path caching (inferred)low
  6. 6Platform org shape (external)low
Role relevance2 critical2 high1 medium1 low
4 source receipts
  • Engineering blogOfficial
    domain events through a durable outbox before fan-out.
  • Careers postingRole signal
    multi-service designs, capacity, and incident review.
  • Architecture docsOfficial
    idempotent consumers and explicit schema versions.
  • Tech Radar summaryExternal
    Lower trust than official sources.

Practice prompt Design a consumer that survives duplicate deliveries.

I · Get ready02 / 07

Prediction AI

Walk in with a sharper practice plan.

  1. 01Practise with a clear priority

    Questions ranked for your company and role, with the reasoning behind each estimate.

  2. 02Understand why each question ranks

    Check role alignment, key topics and difficulty, with evidence behind each likelihood estimate.

Win your dream job
See it in action

Know what to practise next.

Practice priorities
Your next design round

Software engineering · ranked question topics

  1. 01
    Design an AI recommendation system
    82%Estimated likelihood

    A personalization role makes retrieval, ranking and feedback loops useful practice.

    Medium–hard · 45 minCandidate retrieval · Ranking · Cold start
  2. 02
    Design an agentic marketing platform for SaaS growth
    74%Estimated likelihood

    The posting's automation work points to agent orchestration, approvals and attribution.

    Hard · 45 minAgent orchestration · Human approval · Attribution
  3. 03
    Design an enterprise knowledge assistant using RAG
    63%Estimated likelihood

    Enterprise AI work makes permission-aware retrieval and grounded answers relevant.

    Medium–hard · 40 minRetrieval · Access control · Evaluation

Illustrative model estimates for a fictional posting; questions can differ.

I · Get ready03 / 07

Evaluator AI

Stress-test your design before the review.

  1. 01See what your diagram misses

    Five technical scores and a SWOT expose gaps in the architecture you submit.

  2. 02Fix the right things first

    Prioritised improvements explain what to change and why it matters.

Find my design blind spots
See it in action

Your design, under review.

Design debrief
Recommendation design review

Technical diagram evaluation · illustrative model assessment

80/100Overall assessment
Feature storeRetrievalRanker
User events feed features; candidates reach the ranker.

Missing: feature authorization + timeout fallback

Scalability84/100
Reliability78/100
Performance86/100
Security72/100
Maintainability80/100
Strength
Separate retrieval + ranking
Weakness
Feature permissions unclear
Opportunity
Safe rollout + fallback
Threat
Slow ranker delays serving
Priority 1 · High impactMake model rollout reversible

Version models, canary each release and keep the last good model ready for rollback. Use a popular-item fallback if ranking times out.

II · Get seen04 / 07

Resume AI

Make your experience read at its best.

  1. 01Ask for the edit you need

    Audit, tailor or rewrite your resume using your experience and the target posting.

  2. 02Keep control of your story

    Keyword matches are checked against your text. You choose which rewrites to apply.

Make my experience count
See it in action

Your experience. A clearer story.

Resume guidance
A clearer growth story

Maya Rao · Growth Marketing Manager · fictional résumé

Target posting Growth Marketing Manager: own lifecycle email campaigns, segmentation, attribution and trial-to-paid conversion.

Source wording · verified in résumé
Responsible for lifecycle email campaigns that grew trial-to-paid conversion from 18% to 23% in six weeks.
Suggested rewrite
Grew trial-to-paid conversion from 18% to 23% in six weeks through lifecycle email campaigns.
Trial-to-paid
18% to 23%
Change
+5 percentage points
Timeframe
6 weeks
Matched
Lifecycle · Email campaigns · Conversion
Not evidenced
Segmentation · Attribution
II · Get seen05 / 07

Resume Finetuning AI

One career. Multiple job-specific resumes.

  1. 01Give every job its own version

    Compare two scored variants for each posting, then save the version that fits.

  2. 02Keep the work. Sharpen the fit.

    Reorder and reframe supported experience, with each change and its reason visible.

Tailor my resume to the job
See it in action

Two directions. One source resume.

Job-specific version
One posting. Two approaches.

Daniel Okafor · Enterprise Account Executive · fictional résumé

Same scorer throughout Original 67/100

Precision
72/100

+5 points from original

Owned Salesforce handoff and account planning.
Posting coverage
67/100
Quantified bullets
50/100
Title alignment
100/100
First-bullet focus
100/100

A weak opener hides ownership; the same fact now leads with the verb.

Engine · 4 edits · 4 bullets retained

Impact
70/100

+3 points from original

Sourced $1.8m in pipeline through multi-threading.
Posting coverage
58/100
Quantified bullets
67/100
Title alignment
100/100
First-bullet focus
100/100

Measured outcomes read first.

Engine · 5 edits · 3 bullets retained

Matched
account planning · salesforce handoff · multi-threading
Not evidenced
Forecasting · Negotiation

112% quota and $1.8m pipeline retained. Impact trims one responsibility, changing coverage and bullet ratio.

III · Get ahead06 / 07

Promotion AI

Turn your next level into a plan.

  1. 01Make the next level concrete

    Compare current and target skills with a roadmap of projects and milestones.

  2. 02Build a case your manager can follow

    Shape an impact plan and stakeholder strategy, then verify the evidence you present.

Build my promotion case
See it in action

Your next level, made concrete.

Promotion blueprint
Build the enterprise AE case

Daniel Okafor · Account Executive → Enterprise Account Executive

Readiness assessment Build evidence of enterprise account ownership

Current evidence
Account planning · Salesforce handoff · Multi-threading
Target scope
Forecast judgement · Negotiation · Enterprise account ownership
  1. Month 1
    Make account scope visible
    Evidence to build
    Account map + stakeholder coverage
  2. Month 2
    Show forecast judgement
    Evidence to build
    Forecast review + decision notes
  3. Month 3
    Build the promotion case
    Evidence to build
    Promotion brief + manager feedback
Next milestone

Review one enterprise account map with your sales manager.

Stakeholder action

Ask your sales manager and a customer-success partner to review account coverage.

II · Get seen07 / 07

Resume ATS

See the friction in your resume.

  1. 01Find what a parser may miss

    Check section structure, parseability and keyword coverage against your target.

  2. 02Fix issues you can verify

    Findings quote your own resume and show a fix, with score changes on rescan.

Check before I apply
See it in action

Your resume, checked line by line.

ATS report
Finance résumé, checked

Priya Shah · Senior FP&A Analyst · fictional résumé

77/100Blended ATS score
Core headings
4/4 present
Digit-bearing list lines
2/5
Layout
Single column · no image flags
Parseability100/100Measured
Posting keywords77/100Measured
Quantified impact40/100Measured
Structure100/100Measured
Readability80/100Model-judged
Completeness78/100Model-judged
Matched
budgeting · forecasting · variance
Not evidenced
Scenario planning · SQL
Verified quote · Experience, line 19Responsible for monthly reporting and management presentations.

Use an active opener: “Prepared monthly reporting and management presentations.”

Four dimensions measured from text; readability and completeness use illustrative model judgements.

Realm I · Your résumé

Know which parts of your story need proof.

Maya is applying for a senior growth role. Predictor compares her résumé with the role, estimates readiness and asks how she measured the campaign lift.

  1. 01Read Maya’s experience
  2. 02Find the attribution gap
  3. 03Prepare the evidence
Maya Rao
Growth Marketing Manager
Experience

Growth marketing · 2023 – present

Owned lifecycle campaigns from trial activation to paid conversion.

Raised trial-to-paid conversion from 18% to 23% in a six-week test.

Aligned lead handoff with Sales and introduced weekly funnel reviews.

Marketing operations · 2021 – 2023

Built campaign reporting in HubSpot, GA4 and SQL.

Used experiment design to compare acquisition channels.

Skills

Lifecycle marketing · Experiment design · HubSpot · GA4 · SQL

Target

Senior Growth Marketing Manager

Conversion lift stated. Attribution method missing.

Realm II · The interview

Practise the interview your role actually has.

Aarav prepares for system design. Daniel rehearses a sales discovery call. Prediction ranks likely questions; Interview Sprint builds practice; Evaluator reviews software diagrams.

  1. 01Rank Aarav’s questions
  2. 02Rehearse Daniel’s discovery call
  3. 03Review Aarav’s system design
Prediction · Software questionsAarav Mehta · Senior Software Engineer
01Design an AI recommendation systemMedium–hard
Est. likelihood
82%
Candidate retrieval · Ranking · Cold start
02Design an agentic marketing platform for SaaS growthHard
Est. likelihood
74%
Agent orchestration · Human approval · Attribution
03Design an enterprise knowledge assistant using RAGMedium–hard
Est. likelihood
63%
Retrieval · Access control · Evaluation
Practice focusRetrieval · Safe automation · Access control
Interview Sprint · Sales discoveryDaniel Okafor · Account Executive
Interviewer
Your buyer has an incumbent and says switching is risky. How do you start discovery?
Daniel Okafor
I’d ask where the workflow slows down, how often it happens and who feels the impact before discussing a replacement.
Interviewer
They say the team is coping. What would you ask next?
Follow-up practice
Debrief

You asked about the workflow before pitching. Quantify the cost of the delay, then agree on a measurable next step.

Next practice · 10 minutes of impact questions

Evaluator · System-design review

Aarav Mehta · AI recommendation system · Overall 80/100

Event stream
Candidate retrieval
Ranking service
Retrieve candidates · Rank results · Learn from feedback
Overall
Scalability
84
Reliability
78
Performance
86
Security
72
Maintainability
80
S · Retrieval and ranking separatedW · Model rollback missingO · Cache candidate setsT · Feedback-loop bias

Priority fix · Add a model rollback path and a safe fallback ranker.

Realm III · Your next level

Give your next level a clear case.

Priya is working toward a senior FP&A role. Promotion compares the skills, plans useful projects and identifies the people who need to see the evidence.

Skill gapsRoadmapEvidence to buildStakeholder mapNegotiation scripts
Promotion · Career planTimeline · 6 months

Priya Shah · Finance & accounting · Readiness 61/100Next: agree forecast drivers with Meera and track forecast error.

FP&A Analyst
Senior FP&A Analyst
/ 100 readiness
Forecast modelling72 / 90
Business partnering48 / 85
Decision communication63 / 88
  1. Months 1–2Build the driver model

    Separate price, volume and mix. Document sensitivities.

  2. Months 3–4Partner on a budget decision

    Recommend a reallocation with an owner and a measure.

  3. Months 5–6Present the evidence

    Show forecast accuracy, decisions changed and limits.

People to align

Meera Iyer · Finance DirectorAgree forecast drivers and ownership.

Alex Chen · Sales OperationsReconcile pipeline assumptions before review.

Evidence to build

Own a monthly driver review and measure forecast error before and after.

Career conversation Meera, can we agree on the forecast accuracy target and the decisions I should own before the next promotion review?

The market · September 2026

The market is moving again.

Software postings have rebounded over the past year, led by senior roles and jobs with AI in the title. The bar rose with them. This is the moment to prepare with AI, not around it.

~15%
rise in senior-level job postings, May 2025 to May 2026Indeed Hiring Lab · Jul 2026
144%
year-over-year growth in US postings asking for AI skills, against 7% overallBPC AI Skills Dashboard (Lightcast) · Apr 2026
+37%
Bay Area postings for AI-focused IT and computer-science roles since 2022Lightcast via Bloomberg · Sep 2026
New postings · Bay Area

Postings shown are illustrative. General software-engineering demand in the Bay Area is still 42% below 2022 (Lightcast via Bloomberg, Sep 2026), and US software postings remain below their February 2020 level (Indeed via FRED, Sep 2026).

AI EngineerStaff EngineerSite ReliabilityML PlatformData EngineerSecurity EngineerForward-Deployed EngineerBackendiOSCloud ArchitectEngineering ManagerInferenceAI EngineerStaff EngineerSite ReliabilityML PlatformData EngineerSecurity EngineerForward-Deployed EngineerBackendiOSCloud ArchitectEngineering ManagerInference

The library

Four courses, one account.

System design decides the level. AI, cloud and operations are the follow-ups interviewers use to test how deep you go.

Win System Design

Master the Interview

640 system design questions with deep-dive solutions, diagrams, and interview strategies

640 Questions210 Concepts468 Quiz sets
Start Learning

Win AI Mastery

Master AI Skills

Hands-on experience with AI tools you can apply immediately to work smarter and stay competitive.

202 Questions4000 Quizzes124625 Flash cards
Start Learning

Win Ops

Infrastructure Mastery

CI/CD, Kubernetes, observability, and cloud-native architecture patterns.

250 Patterns55 Playbooks398 Quiz sets
Start Learning

Win Cloud

Cloud Architecture

Expert guide to AWS, Azure, and Google Cloud architecture patterns and services.

1000 Questions250 Patterns401 Quiz sets
Start Learning

Simple Pricing. Global Access.

Find the best plan for you

Three questions. We size what you will use in credits, then show the math.

  1. Step 1 of 3: What do you need to win?

    Pick all that apply.

    What do you need to win?

  2. Step 2 of 3: How much AI help each month?

    Rough numbers are fine. Every run has a fixed cost, so this is simple arithmetic.

    ~4 runs · 96 credits

    24 credits each: design review, Predictor report, promotion case, offer plan, ATS scan.

    ~10 replies · 120 credits

    12 credits each: Interview Buddy tip, question prediction, AI chat reply, Resume AI reply, résumé fine-tune, page insights report, offer coach reply.

  3. Step 3 of 3: Features & capabilities

    Built from your picks. Remove what you don't need, or add more.

    • All 4 coursesPro
    • My NotesPro
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Choose my starting point
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Your next chapter

Walk into your next interview prepared.

Engineering courses, cited interview research and AI tools, from your first resume to your next offer. Start free and choose a plan when you need more.

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