Skip to content

Open nowPosted 9 hours ago

Growth MarTech Senior Specialist

Crypto97 open roles

Where
Singapore
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowGrowth MarTech Senior SpecialistCrypto · Singapore
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Crypto's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Crypto postings stay open a median of 8 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 9 hours ago

Crypto median: 8 days open

The posting

Key Responsibilities

  • Web Tracking, Debugging & Ad Signal Routing: Own the end-to-end web tracking architecture across Google Analytics (GA4) and Google Tag Manager (GTM). Define and document Data Layer requirements for the engineering team to implement, and ensure accurate web tracking signals and conversion events are seamlessly routed back to key ad platforms via GTM.
  • App Tracking & MMP Integration: Partner closely with the engineering team to implement, test, and maintain tracking across mobile apps (AppsFlyer, Firebase) for SDK events and Server-to-Server (S2S) events. Architect a standardized event taxonomy, oversee SDK integrations, and manage overall AppsFlyer health.
  • Ad Platform Tracking Optimization: Take deep ownership of exactly how ad platforms consume our data. Partner closely with internal User Acquisition (UA) channel owners to unblock tracking bottlenecks, troubleshoot platform-specific signal loss, and proactively enrich tracking signals (e.g., passing backend LTV scores or customized events back to ad platforms). Act as the technical authority who translates complex media platform requirements into actionable tracking solutions to maximize campaign performance.
  • Comprehensive Stack Auditing & Enrichment: Lead end-to-end audits of the tracking and reporting foundation to resolve data gaps, latency issues, and discrepancies across tracking tools, internal BI, and ad platforms. Move beyond routine maintenance by establishing automated QA monitoring to instantly detect event drop-offs or tracking anomalies, while strictly managing privacy-centric tracking and consent routing.
  • Attribution Strategy & MMM: Support the build of measurement solutions across the full attribution spectrum—from foundational models (Last-Touch) to advanced frameworks (Multi-Touch Attribution [MTA] and Media Mix Modeling [MMM]). Partner with Data Science and Engineering to ensure clean, structured signal data is feeding into these models. Help operationalize these measurement models and triangulate insights across these frameworks and growth metrics to evaluate true user acquisition performance.
  • LTV & Cohort Analytics: Analyze user acquisition performance, customer acquisition cost (CAC), lifetime value (LTV), and user cohorts. Translate these complex data sets into actionable insights to scale high-performing channels and inform broader growth strategies.
  • Incrementality Testing & Analysis: Support the design, implementation, and analysis of incrementality tests to measure the true causal impact of growth efforts and validate overall ROI.
  • Data Pipeline Collaboration: Partner with Data Engineering to manage growth data requests, ensuring event streams are clean, structured, and accurately mapped into growth data pipelines.
  • Advanced SQL & Data Modeling: Write complex SQL to mine large datasets, build custom tables, and execute high-velocity ad-hoc analysis.
  • Dashboarding & AI Automation: Build and maintain automated dashboards using Tableau and Databricks. Integrate AI Agents to streamline reporting workflows and surface deeper, more actionable insights for leadership and business teams.
  • Technical Translation: Collaborate with Growth, Product, Engineering, and Data teams to translate complex marketing and analytics use cases into precise technical requirements and actionable project tickets.
  • Internal Documentation: Create, scale, and maintain comprehensive internal documentation covering our tracking architecture, event taxonomies, and growth data schemas.

Requirements

  • Bachelor’s degree (or higher) in Data Analytics, Computer Science, Information Systems, Business, Statistics, Marketing, or a related quantitative field.
  • 4+ years of dedicated experience in MarTech tracking, growth analytics, and digital marketing data analysis. Experience in Crypto, FinTech, or Technology is a strong plus.
  • Deep, hands-on proficiency with Google Analytics 4 (GA4) and Google Tag Manager (GTM), with the ability to define Data Layer requirements, route ad tracking signals, and debug network setups.
  • Deep expertise in ad platform signals and mechanics. You must know exactly how ad platforms consume data and have hands-on experience solving platform-specific tracking challenges, including Meta CAPI, AEM, Google conversion signals, event postbacks to DSPs and ad networks.
  • Deep expertise in mobile app tracking, specifically with AppsFlyer and Firebase, including experience standardizing event taxonomies and overseeing both SDK and Server-to-Server (S2S) event integrations.
  • Understanding of advanced attribution frameworks (MMM, MTA) and proven experience designing and executing incrementality tests (holdouts, conversion lift studies).
  • Understanding of digital marketing economics, including user acquisition optimization, customer acquisition cost (CAC), lifetime value (LTV), cohort analysis, and paid media strategies.
  • Understanding of CDP/CRM tools (e.g., Segment, Braze) and how they route data signals to downstream channels and systems.
  • Understanding of privacy-centric tracking mechanisms (e.g., Google Consent Mode, SKAdNetwork).
  • Advanced SQL skills for mining large datasets, creating custom tables, and executing ad-hoc analysis, alongside mandatory hands-on experience with Databricks and Tableau.
  • Exceptional communication skills with a proven ability to translate complex marketing and business needs into precise technical tickets for Engineering and Data teams.
  • Strong organizational skills with experience building comprehensive internal technical documentation and managing multiple high-priority projects in a fast-paced environment.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Crypto's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Crypto's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Crypto's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.