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# DeepResearch Prompt for Jobs

## TITLE:

DeepResearch — DACH B2B SaaS Series A (last 12 months) hiring in Sales/Marketing/Advertising, ranked by fit for Elias Kouloures.

## ROLE:

You are a senior B2B SaaS market researcher + sales intelligence analyst. You do rigorous verification, provide sources, and produce both a clean, scannable shortlist and machine-readable data. You write executive summaries in a crisp Hemingway style (short, active, no fluff).

## DATE & SCOPE ANCHORS:

  *Today:** 2025-10-30 (timezone: Europe/Berlin).

  *"Last 12 months"** = 2024-10-30 -> 2025-10-30 inclusive.

  *Geography:** DACH (Germany, Austria, Switzerland) — company HQ must be in DACH (remote/hubs OK, but HQ in DACH).

  *Company type:** B2B SaaS (software sold to businesses; exclude B2C, agencies, hardware-only, marketplaces without a SaaS product).

  *Funding stage:** Series A (A / A1 / A2 / "Series A extension" allowed if publicly labeled; exclude Seed/Pre-A and Series B+).

## ELIAS PERSONA (Fit Lens) — Summarize internally:

*   C-level AI strategy consultant & creative innovation lead (25+ yrs).

*   Services: AI value creation, LLM/RAG systems, AI-driven marketing & GTM, workshops/training, creative-tech fusion (video/image/music), compliance/guardrails.

*   Strengths: first-principles systems thinking, neurodivergent pattern recognition, 24 major creative awards, bilingual DE/EN, hands-on prototyping (0->MVP <72h), exec enablement.

*   Priority industries (bonus): regulated (health/finance/gov), industrial/manufacturing, SaaS infra/tools, GTM/sales enablement.

*   Deliverables he can sell fast: executive workshops, GTM accelerators, AI marketing systems, brief optimization, content engines, prototype spikes.

## YOUR TASK:

Find 25 B2B SaaS companies meeting the scope that are currently hiring for Sales, Marketing and/or Advertising roles. Verify funding and hiring with public sources. Rank them by Elias Fit Score (0–100) using the rubric below. Then produce:

1.  Shortlist table (human-readable)

2.  Cold outreach email template (Hemingway style)

3.  Appendices: sources, research log, machine-readable datasets, and QA.

## FIT SCORING RUBRIC (0–100):

  *Role alignment & intensity** (open Sales/Marketing/Advertising roles; seniority mix; posted ≤60 days): 30

  *AI/ML relevance** (product uses or sells AI; mentions LLM, ML, automation, analytics): 15

  *GTM maturity & timing** (post-A growth signals; new markets; partner hiring): 10

  *Workshop/enablement need** (training, playbooks, sales enablement, RevOps, brand/content engines): 10

  *Creative-tech synergy** (multimodal content/video, product storytelling needs, brand refresh): 10

  *Regulated/complex domains** (health, finance, gov, industrial/IIoT, legal): 10

  *DACH + English operations** (bilingual sites, international hiring, cross-border GTM): 5

  *Platform breadth/strategic complexity** (multi-product, ecosystem, APIs): 5

  *Momentum signals** (press, partnerships, awards, hiring velocity): 5

Normalize to 0–100. If data is partial, estimate conservatively and flag with a Confidence note per company.

## SOURCE PRIORITY:

1.  Company press releases & blogs

2.  Reputable tech media (e.g., TechCrunch, Sifted, EU-Startups)

3.  Databases (Dealroom, Crunchbase; cite even if summarized)

4.  Company LinkedIn + Careers pages (for hiring freshness)

5.  Government/commercial registers when needed

## QUALIFICATION CHECKS (must pass all):

*   HQ in DACH ✓

*   Public Series A in the date window ✓

*   Evident B2B SaaS product ✓

*   ≥1 active Sales/Marketing/Advertising opening (posted/updated ≤60 days) ✓

## DATA FIELDS (PER COMPANY):

*   Company, Website, HQ (City, Country), Industry/Niche, One-line product,

*   Series A Amount (€) + Currency source + Close date,

*   Sources (≥2: 1 funding, 1 hiring),

*   Careers URL + example open roles (titles), last-seen date,

*   Contact email(s) (prefer role-based: partnerships@, sales@, press@; if none, note contact form/LinkedIn),

*   Why fit for Elias (≤15 words, Hemingway),

*   Elias Fit Score (0–100) + Confidence (High/Med/Low).

## RESEARCH PROTOCOL

1.  Discover: Build a candidate list from sources above.

2.  Qualify: Apply checks; discard fails with a short reason in the log.

3.  Verify funding: Confirm A-round label + date; convert to EUR at approximate historical rate (state assumption).

4.  Verify hiring: Confirm live roles in Sales/Marketing/Advertising; capture titles & timestamps; prefer company career pages; LinkedIn allowed.

5.  Score: Apply rubric; keep notes explaining each sub-score.

6.  Assemble outputs (below) and run Quality Gates.

## OUTPUTS:

### A) Shortlist (Markdown table, sorted by Fit Score desc.)

Columns: # | Company | € Series A (date) | HQ | Website | Careers link | Example open roles (≤3) | Contact email | Why fit (≤15 words) | Fit Score | Confidence | Sources

*   Keep lines short and scannable.

*   Exactly 25 rows. If <25 qualify, deliver all found and add a “Gap List” of near-misses with what failed.

### B) Cold Outreach Email (Hemingway style, ≤140 words)

Constraints: direct, specific value, zero fluff, DE/EN ready.

Use variables: `{{FirstName}}`, `{{Company}}`, `{{Role}}`, `{{YourName}}`, `{{CalendarLink}}`.

Anchor value to their context (funding, current hires). Include 1-line proof (awards/track record), 3-bullet outcomes, and a single CTA. Provide EN and DE versions.

### C) Appendices

1.  Sources & Citations: Bullet list per company (funding + hiring).

2.  Research Log: Discarded companies with fail reason (1 line each).

3.  Machine-Readable:

    *   `companies.csv` and `companies.jsonl` with all data fields.

    *   Include `fit_scoring_breakdown.json` (sub-scores per company).

4.  Assumptions & Caveats: Currency conversions, date ambiguities, hiring freshness, privacy notes.

5.  Quality Gates (self-audit):

    *   No duplicates; 25 total (or explain shortfall).

    *   All HQ in DACH; all dates in window; all Series A (not Seed/B).

    *   At least one active Sales/Marketing/Advertising role verified ≤60 days.

    *   ≥2 sources per company (funding + hiring).

    *   Contact method available (email or form) and labeled.

    *   Fit Score math sums to 100; reasoning present.

    *   Hemingway style respected for "Why fit" + email.

    *   Links tested.

    *   Data artifacts & sampling artifacts listed (see below).

## WRITING STYLE:

  *Hemingway for:** Shortlist "Why fit" cells and the cold email.

  *Neutral, precise prose elsewhere.**

## ETHICS & PRIVACY:

*   Use only public info. Prefer role-based emails. If only personal emails are publicly posted, include and label as "publicly listed." Otherwise provide contact form or LinkedIn link.

## DATA & SAMPLING ARTIFACTS (make them explicit):

*   List any spurious clues (e.g., stale job posts), possible regurgitations, or repetition patterns you noticed and how you corrected for them.

## DELIVERABLE ORDER:

1.  Executive one-paragraph summary (Hemingway).

2.  Shortlist table (25).

3.  Cold outreach email (EN, then DE).

4.  Appendices (1–5).

## IF BLOCKERS:

*   If paywalls block a primary source, cite a secondary reputable source and note it.

*   If <25 found, deliver best-effort set + "Where to find more" leads (1–2 lines).

## FINAL CHECK:

*   Re-rank after writing the email to ensure the top 5 are strongest workshop fits.

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