Growth Engineer, CTO Office

Rylo; New York (NY); Hybrid; USD 145,000 - 180,000; Full time

Benefits offered by this job

Unlimited time off

401(k) plan with company match

Medical, Dental, and Vision plans

Job summary

Rylo in New York is looking for a Growth Engineer to develop and manage their marketing data and attribution systems. This role is critical in ensuring the accurate measurement and optimization of marketing efforts.

The ideal candidate will have 3-5 years of growth data or marketing data engineering experience, as well as hands-on knowledge of various attribution platforms and analytics tools. The role offers competitive salary and comprehensive benefits.

Qualifications

• 3-5 years of experience in growth data or marketing data engineering.
• Strong hands-on experience with attribution platforms.
• Fluent with attribution models and privacy frameworks.

Responsibilities

• Build and maintain mobile attribution pipelines.
• Configure and maintain tracking infrastructure.
• Debug and resolve attribution discrepancies.

Skills

Growth data engineering

Marketing data engineering

AppsFlyer

Python

Attribution models

Event tracking

Debugging skills

Tools

Firebase Analytics

Google Tag Manager (GTM)

Meta Pixel

Job description

As a Growth Engineer, you’ll build and own Rylo's marketing data and attribution systems, ensuring that all acquisition and lifecycle efforts are accurately measured and optimized. This role sits at the intersection of data engineering, marketing tech, and analytics, focused on making sure that data flows reliably between product, warehouse, and ad platforms. You will be responsible for ensuring that every marketing dollar is measurable, attributable, and optimizable from first touch to revenue. You will come up, build and measure experiments, using AI to the fullest extent.

On a Day To Day, You Will

• Build and maintain mobile attribution pipelines, including ongoing health monitoring and validation
• Implement and manage first-party data postback to ad platforms (conversions, revenue, LTV signals)
• Configure and maintain tracking infrastructure: server-side GTM, Google Enhanced Conversions, Meta Pixel + Conversions API, and other ad platforms
• Own conversion event schemas across platforms, ensuring consistent naming and definitions across product, CRM, and ad platforms
• Automate regular event audits across the full signal chain, verifying that events are firing correctly, conversion values are populated, and nothing is silently failing between instrumentation and ad platform reporting
• Set up and maintain IDFA and GAID permission handling across iOS (ATT, SKAN) and Android (AD_ID), including prompt timing logic
• Debug and resolve attribution discrepancies across systems (ad platforms vs. CRM vs. warehouse), proactively, not reactively
• Partner closely with Growth, Product, and Data teams to ensure measurement supports decision‑making

Requirements

• 3-5 years of experience in growth data or marketing data engineering at a mobile‑first consumer app, with a track record of owning attribution pipelines, conversion tracking, and marketing platform integrations end‑to‑end
• Strong hands‑on experience with AppsFlyer, Adjust, Branch, Segment, Firebase Analytics, GTM, pixels, Google enhanced conversion, Meta conversion APIs, Google ads, Meta ads, Tiktok, Reddit and more
• Experience in Python or scripting for pipeline automation
• Fluent with attribution models (last‑click, MTA, probabilistic vs. deterministic) and privacy frameworks (SKAN, ATT, Android AD_ID / Privacy Sandbox)
• Experience implementing conversion tracking and attribution systems on mobile‑first consumer apps
• Experience sending offline conversions and LTV signals back to ad platforms
• Good understanding of web tracking setup including GTM (client and server‑side), pixel implementation, and event validation across browsers
• Familiarity with mobile instrumentation; you understand how event tracking breaks under major SDK version updates and can fix it
• Strong debugging skills; able to systematically investigate and resolve data discrepancies across ad platforms, CRM, and warehouse
• Comfortable working cross‑functionally
• High ownership, fast execution, and exceptional attention to detail
• BigQuery or data warehouse querying for self‑serve attribution validation
• Prior experience at a mobile‑first consumer app serving a niche or underrepresented community
• Due to team collaboration needs, this role requires working hours aligned with the Eastern Time Zone.
• Compensation: $145,000–$180,000 per year, depending on experience and qualifications.

Benefits

• Work on a fulfilling, life‑changing product (literally)
• Join as a key player at an early stage and receive generous options
• Unlimited time off and sick days
• Annual company get‑together
• Medical, Dental, and Vision plans with FSA, HSA, and Telehealth benefits
• 401(k) plan with company match