AI Social Creative Technologist (Fintech & Personal Finance)

Gen•New York, NY

7d•Hybrid

About The Position

We’re looking for an editor‑first AI Social Creative Technologist to help power high‑velocity, always‑on social content. This role sits at the intersection of editorial craft, social storytelling, and applied AI—focused on producing fast‑turn, high‑quality creative at scale. You’ll be embedded within GenStudio, using AI not as a concept, but as a daily production tool. From rapid ideation to versioning and deployment, you’ll help create systems that allow content to move faster, adapt in real time, and continuously evolve based on performance. This is a hands‑on role for someone who thinks like an editor, builds like a technologist, and thrives in the speed and unpredictability of social.

Requirements

Proficiency in Adobe Creative Suite, including Premiere Pro, After Effects, and Illustrator
Strong editorial background with a focus on short‑form and social‑first content
Proven ability to create high‑volume, high‑quality content under tight timelines
Hands‑on experience with AI tools for video, design, and content generation
Familiarity with building or using automated workflows, scripts, or creative pipelines
Deep understanding of platform‑native storytelling (TikTok, Instagram, YouTube Shorts, etc.)
Curiosity around emerging AI capabilities, especially agent‑based systems and automation
Ability to balance experimentation with practical production needs
Collaborative mindset with strong communication skills

Responsibilities

Produce rapid‑turn social video, motion, and design assets across platforms using AI‑accelerated workflows
Translate long‑form, campaign, and evergreen content into social‑native cuts optimized for engagement
Leverage AI tools for ideation, editing, resizing, personalization, visual treatments, and light animation
Build and operate agentic workflows that automate repetitive creative tasks such as versioning, captioning, formatting, and distribution
Develop lightweight AI‑driven systems that can generate, test, and iterate on multiple creative variations simultaneously
Experiment directly in‑feed, using performance data and creative instincts to refine outputs quickly
Collaborate with editors, producers, and creative leads to support always‑on content pipelines
Maintain a strong balance between speed, quality, and brand consistency
Creating AI agents that can assist in generating variations of content based on platform, audience, or performance signals
Building workflows where agents handle repetitive production steps, freeing up time for creative decision‑making
Integrating tools that enable semi‑autonomous content iteration (e.g., testing hooks, thumbnails, cuts)
Using AI to create feedback loops between performance data and creative output
Exploring multi‑agent pipelines where ideation, editing, and optimization can happen in parallel