Remote Product Growth Lead — Lifecycle & Retention

Tgtc; Tandil; À distance; ARS 212 844 000 - 304 062 000; Plein temps

Avantages offerts par ce poste

Remote work

Flexible schedule

AI learning stipend

Global team

Résumé du poste

vidIQ is seeking a hands-on Product Growth Lead to uncover opportunities across the product-led funnel—from acquisition to retention—and to prototype and ship AI-powered solutions. You'll own growth experiments, collaborate with Product, Engineering, Design, Marketing, and Partnerships, and measure results to decide what to scale.

This role emphasizes product impact over traditional marketing. This is a 100% remote, globally scoped role with a strong emphasis on ownership and rapid iteration

Qualifications

• Hands-on product growth role across the funnel (acquisition to retention).
• Prototype and build AI-powered solutions with minimal risk.
• Own growth experiments and measure impact to scale or pivot.

Responsabilités

• Identify growth opportunities and test ideas with a lean roadmap.
• Prototype and ship with frontier AI stack and a low‑risk deployment approach.
• Collaborate with Product, Engineering, Design, Marketing, Partnerships, and Finance when needed.
• Turn successful experiments into durable growth loops.
• Build an internal knowledge base to inform future experiments.

Connaissances

Growth experience

Product judgment

AB testing

Cross-functional collaboration

AI automation

Clear communication

Growth strategies across channels

Outils

Claude Code

Codex

Deployment harness

Description du poste

vidIQ is seeking a hands-on Product Growth Lead to uncover opportunities across the product-led funnel—from acquisition to retention—and to prototype and ship AI-powered solutions. You'll own growth experiments, collaborate with Product, Engineering, Design, Marketing, and Partnerships, and measure results to decide what to scale.

This role emphasizes product impact over traditional marketing. This is a 100% remote, globally scoped role with a strong emphasis on ownership and rapid iteration