Built for KlickPiloten
A personal case · AI Automation Engineer – Marketing & Operations Consulting (m/w/d)

How can KlickPiloten
unify marketing AI operations?
Connect APIs and automate audits.

I connect Google Ads API, Meta Marketing API, CRM systems, and MCP servers to replace isolated tools with unified automation. Having previously achieved 50% faster ROI measurement through cohort tracking and multi-channel attribution, I will bring that same measurement rigor to KlickPiloten.

✉ businessakshun@gmail.com
Hi KlickPiloten, I have a proposition
HI KlickPiloten,
I HAVE A PROPOSITION
36x+
Peak ROAS achieved
Performance
400%
Organic traffic growth
SEO / GEO
−80%
Manual SDR effort saved
Automation
6+
Years across growth, paid & automation
General
Why KlickPiloten

Unifying Agency Operations Without Tool Fragmentation

At KlickPiloten, accelerating marketing automation while maintaining strict data privacy creates an operational tension between rapid workflow deployment and system governance. For an AI Automation Engineer, connecting Google Ads API, Meta Marketing API, and CRM systems requires centralized data pipelines rather than ad-hoc scripts. I will validate this tension by assessing existing tracking configurations and API endpoints, establishing unified automation architectures that eliminate tool sprawl while safeguarding client confidentiality.

Target Role
AI Automation Engineer – Marketing & Operations Consulting (m/w/d)
Open to discussion — I go where I make the most impact
Location & Mobility
Nürnberg / Berlin 🇩🇪
Relocation anywhere in Germany · Remote / Hybrid · EU Work Auth
Company
KlickPiloten
klickpiloten.de
Availability
Hired
Currently employed · Not seeking new roles
Full skillset

Part marketer,
part engineer.

I don't fit neatly in one box — and that's the point. I design systems that connect data to revenue across paid, organic, automation, and full-funnel GTM intelligence.

📈
Performance Marketing
End-to-end paid media across Google, Meta, and LinkedIn. 36x+ ROAS, $50K+ monthly budgets managed. Demand creation and capture in one unified funnel.
At Ingestro & Theo — cut CPC 20%, raised CTR 30%, and recovered €32.7k in suppressed conversion value & ad waste.
Google Ads
Meta Ads
LinkedIn Ads
A/B Testing
Full-funnel architecture
Demand Creation LinkedIn · Meta
↓
Demand Capture Google Search
↓
Retargeting Display · Social
36x+ Peak ROAS achieved
⚡
Measurement & Experiment Operations
I turn ambiguous growth questions into reproducible measurement, clear experiment design, and documented decisions with human review where it matters.
The point is not more automation. It is a traceable path from evidence to a decision a growth team can defend.
Evidence
Measurement
Experiment
Review
Evidence-to-decision loop
🌐
Evidence
Public signals
→
🔗
Measure
Baseline
→
🧪
Test
Experiment
→
🧱
Review
Decision
LEARN
Keep testing
REVIEW
Check evidence
STOP
Document why
Evidence before scale
Most relevant for KlickPiloten
🎯
GTM Signal Intelligence
Full-pipeline value capture — from raw public signals to scored, routed accounts. I built an autonomous research agent that turns funding, hiring, ad-presence, and tech-stack signals into a live fit score before a single outbound message goes out.
At Ingestro & Theo — built signal-scoring engine evaluating funding stage, hiring velocity, and channel gaps to prioritize account outreach.
Signal Scoring
Fit Tiering
Evidence Routing
Autonomous Research
Signal-to-pipeline engine
🌐
Scraper
6 Modules
→
💼
Signals
Jobs & Stack
→
🎯
Score Engine
0–100 Score
→
⚡
ABM Page
Auto-Publish
HIGH (80+)
⚡ Auto-Publish & AE Route
MID (55-79)
💬 SDR Approval Review
LOW (<55)
⏳ Nurture / Hold
100% Signal-traceable, zero guesswork
🔍
SEO & GEO
Technical SEO, schema markup, and LLM/GEO visibility strategy. 400% organic growth. Early practitioner of Generative Engine Optimisation.
At Ingestro & Theo — AI-sourced traffic scaled 1% → 20% of sessions, contributing 10% of total pipeline.
SEMrush
GA4
Schema
GEO
Python
LLM visibility strategy
📐
Dynamic Schema
Per-page structured data, LLM-readable
🔎
Prompt Tracking
Peec AI + Search Console gaps
💬
Community Signals
Reddit + LinkedIn citations
⭐
Authority Profiles
G2 + Crunchbase optimised
400% Organic traffic growth
💻
Technical Marketing
Webflow builds, GTM, conversion tracking, and ABM page generation at scale. I build and measure without needing a dev team.
At Ingestro & Theo — built personalized ABM pages & 5 governed GTM AI agents (Python + Claude + n8n + HubSpot).
Webflow
GTM
HTML/CSS
JS
Tracking & measurement stack
Webflow
HTML/CSS/JS
↓ events fire
Google Tag Manager Central hub
↓ distributes to
GA4
FB Pixel
Google Ads
0 Dev team needed
Specifically for KlickPiloten

What I'd do in the
first 90 days

With 6+ years across automation, Python, SQL, GTM, and API integrations, I specialize in connecting marketing platforms and eliminating manual operational overhead. In prior engineering initiatives, I built multi-channel attribution and tracking setups that achieved 50% faster ROI measurement. Additionally, I automated complex operational pipelines to reduce manual workflow effort by 80%, ensuring strict data accuracy across integrated systems.

💡 Day-90 decision gate
For KlickPiloten's operations, scale the automated audit framework and API connectors across consulting engagements if machine-driven quality checks consistently catch tracking discrepancies and customer data remains strictly partitioned within vetted AI models; iterate on connector logic and consent management setups if cross-platform data consolidation produces reporting mismatches; stop expanding automated workflows if third-party AI providers fail data privacy and compliance standards or introduce unvetted tooling dependencies.
Before reaching out

I already did some
homework.

Hypothesis: This evaluation outlines key architectural and operational priorities for accelerating automated workflow deployment across marketing consulting engagements. By examining verified technical signals and system integration touchpoints, these findings highlight concrete opportunities to strengthen compliance, measurement, and operational efficiency.

⬡ Observations · KlickPiloten
Full analysis available on request Fit Score: 100/100 (HIGH_FIT)
ACCOUNT FIT SCORE
100/100 HIGH_FIT
  • 📈
    Consent-Safe Measurement Infrastructure — Public digital presence signals indicate Usercentrics in an observed script state alongside Google Analytics / GTM in both declared and observed script states across inspected pages. While these indicators show structured tag management, disjointed client-side tracking configurations can introduce attribution gaps across platforms. Implementing automated verification routines across tracking setups and consent handlers will ensure end-to-end data governance. This operational standard enables teams to validate tag firing compliance before deploying live client reporting.
  • ⚡
    Automated Setup and Account — Agency operations require continuous monitoring of campaign, tracking, and account setups rather than relying on manual checklist inspections. When recurring configuration errors are addressed reactively, operational overhead increases and reporting accuracy can degrade. Developing automated audit rules and background validation scripts will systematically detect configuration anomalies across client accounts. This mechanism empowers technical leads to resolve campaign discrepancies preemptively before downstream client analytics are impacted.
  • 🔍
    Cross-Platform API and Context — Building integrated automation workflows requires connecting disparate endpoints across advertising interfaces, customer relationship management tools, and protocol servers. Across 3 collaborating functions including engineering, analytics, and marketing, isolated tools often cause fragmented context and manual synchronization delays. Establishing unified integration pipelines that feed structured data into AI systems provides reliable contextual foundations for automated tasks. This architecture allows consulting teams to deploy custom client automations faster without creating disconnected tooling silos.
  • 🎯
    Data Governance and Implementation — eploying artificial intelligence systems within client-facing marketing environments demands strict alignment with European data privacy and confidentiality standards. Addressing governance across 2 early journey stages including setup and onboarding prevents sensitive client data from routing into unvetted third-party language models. Establishing clear documentation and compliance guardrails creates auditable standards for model selection and data handling. This rigorous framework ensures operational leaders can safely roll out new automation capabilities while safeguarding customer confidentiality.
  • ✓
    Structured schema architecture and declared analytics governance provide a solid foundation for robust marketing automation systems.
  • i
    I can share a Loom walkthrough with more detail — just ask.
ℹ
Data Transparency: These are outside-in hypotheses based on verified first-party and public evidence. “Not observed” is not the same as “does not exist”; internal data and stakeholder context would be the first validation step.
The person behind the marketer

Marketing, engineering,
and a lot of borders crossed.

My name, Akshun, means "undestructable" in Sanskrit. That's not a personal brand line — it genuinely shapes how I move. I don't quit on campaigns, goals, or challenges like learning German from scratch after landing in a new country.

I started freelancing in digital marketing at 19 in India — working with Punjabi music artists, Australian businesses, and tech clients before I'd ever left the country. That early pressure to figure things out without a team or a budget is where the technical + creative hybrid came from.

I moved to Nürnberg in 2022 for an M.Sc. at FAU, added an Erasmus semester in Madrid, hit German C1, and picked up enough Spanish to embarrass myself. Outside the dashboards, I run a YouTube channel documenting the unfiltered reality of being an Indian expat in Germany — no filters, real stories.

What I keep coming back to: the best marketing sits at the intersection of creativity, data, and technical execution. Most teams have one or two. I try to bring all three.

🇮🇳
India — Where it started
Started freelancing at 19. Music artists, Australian businesses, tech clients. Taught myself SEO, PPC, and web dev out of necessity.
2016 – 2022
🇩🇪
Germany — The big leap
M.Sc. at FAU Erlangen-Nürnberg. German to C1. Joined an AI startup, built full growth stack from scratch.
2022 – Present
🇪🇸
Spain — The bonus chapter
Erasmus at UPM Madrid. Picked up Spanish, confirmed food in Madrid is genuinely incredible.
Sep 2024 – Jan 2025
▶
On YouTube
The unfiltered reality of moving from India to Germany — visa stress, language barriers, real stories.
youtube.com/@akshundogra →
hover to meet the person behind the marketer →
Akshun Dogra
The man behind all of this.
Akshun Dogra · Technical Growth Marketer
One question before you go

Did we just build
something worth pursuing?

Honest answers only. Both paths lead somewhere good.

this is us right now
Akshun x KlickPiloten
AKSHUN X KlickPiloten
Let's talk

This page was built
specifically for KlickPiloten.

I'd love a 20-minute conversation. No pitch deck. Just a real chat about fit.

businessakshun@gmail.com →

Or simply reply to the message that brought you here.

💼 LinkedIn 🌐 Full website 📄 Resume
every recruiter email you get vs. this one
cold emails vs this one
every other
cold email
Hr &
hiring managers
No hard feelings

Glad you stopped by,
KlickPiloten.

Timing isn't always right — but the details are here whenever it is.
No follow-up. No pressure. Just an open door.

businessakshun@gmail.com →
💼 LinkedIn 🌐 Full website 📄 Resume