Head of AI-Driven Marketing Platform Engineering

Scorpion Therapeutics; Pennsylvania; Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Performance bonus

Equity incentives

401(k)

Job summary

Scorpion Therapeutics is seeking a Director of Engineering / Team Lead to define and execute a scalable, AI-enabled marketing platform strategy. You will architect cloud-native systems, orchestrate real-time decisioning, and drive cross-functional collaboration across Product, Data, Marketing, and external platforms.

You will mentor a growing engineering team, own key architectural decisions, and ensure reliability, security, and performance across data pipelines and activation workflows.

Qualifications

• 8+ years software engineering experience with leadership experience.
• Expertise in cloud environments, data platforms, and system integrations for media/marketing workflows.
• Proven delivery of complex, cross-functional, global platform initiatives.

Responsibilities

• Define and execute platform vision and strategy for scalable AI-enabled marketing platforms.
• Lead, mentor, and scale the engineering team; own critical technical decisions.
• Design distributed, cloud-native, AI-forward systems across data platforms, APIs, and activations.
• Own end-to-end delivery with CI/CD and automation; monitor deployment velocity and data accuracy.
• Partner with Product, Data, Marketing, and external platforms to translate business needs into scalable systems.

Skills

Cloud environments

Data platforms

System integrations

Cross-functional leadership

Mentoring teams

Tools

AWS

GCP

Azure

Job description

Scorpion Therapeutics is seeking a Director of Engineering / Team Lead to define and execute a scalable, AI-enabled marketing platform strategy. You will architect cloud-native systems, orchestrate real-time decisioning, and drive cross-functional collaboration across Product, Data, Marketing, and external platforms.

You will mentor a growing engineering team, own key architectural decisions, and ensure reliability, security, and performance across data pipelines and activation workflows.