Built for Apaleo
A personal case · GTM Operations Specialist (f/m/d

Can open hospitality platforms
scale AI-native funnel workflows?
Unify CRM data first.

As GTM Operations Specialist, maintaining HubSpot CRM hygiene across connected hospitality applications provides the clean data foundation that AI-native workflows depend on. I previously achieved 80% less manual SDR effort through Make and Clay automation, and I would apply that workflow discipline to Apaleo's revenue engine without forecasting identical results.

✉ businessakshun@gmail.com
Hi Apaleo, I have a proposition
HI Apaleo,
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

Building an AI-Native Revenue Engine on Clean CRM Foundations

While Apaleo aims to build AI-native funnel workflows, scaling pipeline growth requires unifying CRM data hygiene across systems without relying on rigid dashboards. For the GTM Operations Specialist working directly with the Team Lead RevOps, unverified pipeline schemas create friction across GTM functions. I would validate this by auditing HubSpot CRM records against connected lead sources, then querying account data with AI tools like Claude or ChatGPT to uncover pipeline drivers and establish clean automation foundations.

Target Role
GTM Operations Specialist (f/m/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
Apaleo
apaleo.com
Availability
Hired
Currently employed · Not seeking new roles

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
🔍
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

What I'd do in the
first 90 days

With 6+ years across RevOps, marketing automation, Python, SQL, and HubSpot, I specialize in connecting GTM systems and building AI-driven workflows. In prior roles, I achieved 80% less manual SDR effort using Make and Clay automations, while enabling 50% faster ROI measurement through cohort tracking and multi-channel attribution.

💡 Day-90 decision gate
I will scale AI-native workflows across Apaleo's GTM funnel when automated CRM enrichment achieves high data accuracy and AI queries reliably answer business questions without manual corrections. I will iterate prompt templates and pipeline sync triggers if enrichment data shows field discrepancies between connected applications. I will stop workflow expansion if underlying CRM schema inconsistencies create data inaccuracies across pipeline stages.

I already did some
homework.

Hypothesis: This evaluation analyzes Apaleo's public technology ecosystem and go-to-market operations footprint to establish factual alignment for the GTM Operations Specialist position. It highlights operational opportunities across systems architecture, revenue automation, and cross-functional alignment.

⬡ Observations · Apaleo
Full analysis available on request
Fit Score: 100/100 (HIGH_FIT)
ACCOUNT FIT SCORE
100/100 HIGH_FIT
  • 📈
    CRM & Measurement Infrastructure — Public digital presence reveals HubSpot with an observed script state alongside Vercel with an observed script state, while Salesforce is noted as an observed_html_reference. Maintaining high-fidelity CRM data across these front-end and back-end touchpoints is critical before layering autonomous AI workflows onto the funnel. The incoming specialist will conduct a consent-safe data schema audit across HubSpot CRM and connected web scripts. This review enables leadership to establish standard data governance rules and eliminate pipeline friction across systems.
  • ⚡
    AI-Native Workflow Automation — Apaleo operates an open, API-first hospitality platform requiring automated lead enrichment and business intelligence capabilities. Deploying tools such as Clay, n8n, Make, Claude, ChatGPT, Koala, and Clearbit allows querying business data directly to uncover revenue drivers without waiting on manual reporting dashboards. The role will construct automated AI agents to execute repetitive GTM tasks and enrich account intelligence dynamically. This capability enables RevOps leadership to accelerate pipeline velocity and scale revenue engine productivity efficiently.
  • 🔍
    Cross-Functional Marketing Alignment — The role collaborates with 1 key department, marketing, to maintain clean pipeline data and eliminate bottlenecks across the go-to-market funnel. Aligning campaign intent signals with CRM record accuracy ensures revenue attribution remains precise throughout buyer interactions. The specialist will configure seamless workflows between marketing lead sources and core CRM deal stages to track account progression. This alignment enables the growth team to optimize conversion paths and make rapid, data-backed decisions on high-fit account targeting.
  • 🎯
    Early Journey Stage Optimization — Public records detect 0 dedicated RevOps profiles in search results and 0 open RevOps listings, while the GTM scope spans 2 early journey stages: setup and onboarding. Ensuring data hygiene across these initial stages prevents customer drop-off before account activation occurs. The specialist will map system data flows from initial setup through completed onboarding to eliminate operational handoff gaps. This initiative enables go-to-market leaders to improve early retention metrics and maximize long-term account revenue potential.
  • ✓
    Apaleo's commitment to an open, API-first architecture provides an exceptional foundation for building scalable, AI-native go-to-market automation engines.
  • 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.

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.
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 Apaleo
AKSHUN X Apaleo
Let's talk

This page was built
specifically for Apaleo.

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

businessakshun@gmail.com →

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Apaleo.

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

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