Growth-Focused Software Engineer (Backend/Full-Stack)

Talentify; Menlo Park (CA); Hybrid; USD 85,000 - 113,000; Full time

Benefits offered by this job

Medical benefits

Competitive pay

401(k)

Job summary

INSPYR Solutions is seeking a Software Engineer for a hybrid role based in MPK. You will build infrastructure to support consumer acquisition and retention, and develop deep linking, attribution, and audience segmentation across campaigns.

You will implement tracking pixels and help run end-to-end growth experiments with Marketing and Engineering teams. The ideal candidate has strong backend or full-stack experience, Python and SQL proficiency, and knowledge of data pipelines and marketing tech

Qualifications

• Backend / Full-Stack software engineering experience required.
• Proficiency in Python and SQL for data-driven features.
• Experience with deep linking and mobile/web attribution.
• Knowledge of data pipelines and audience segmentation.
• Ability to implement conversion tracking and advertising integrations.
• Familiarity with A/B testing and growth experimentation.

Responsibilities

• Build engineering infrastructure to support consumer acquisition and retention.
• Develop and maintain deep links and attribution across campaigns.
• Create audience segmentation tables and connect to ad tech.
• Implement conversion pixels and track campaigns in onboarding funnels.
• Translate behavioral signals into audience parameters for campaigns.
• Collaborate with Marketing and Engineering on end-to-end growth experiments.

Skills

Backend / Full-Stack

Python

SQL

Deep Linking

Mobile Attribution

Data Pipelines

Audience Segmentation

Conversion Tracking

Advertising Integrations

A/B Testing

Job description

INSPYR Solutions is seeking a Software Engineer for a hybrid role based in MPK. You will build infrastructure to support consumer acquisition and retention, and develop deep linking, attribution, and audience segmentation across campaigns.

You will implement tracking pixels and help run end-to-end growth experiments with Marketing and Engineering teams. The ideal candidate has strong backend or full-stack experience, Python and SQL proficiency, and knowledge of data pipelines and marketing tech