AI Product Manager (0→1) for LLM Features | Hybrid Austin

Recruits Lab; Austin (TX); Hybride; USD 135 000 - 165 000; Plein temps

Avantages offerts par ce poste

PTO

Paid benefits

IRA with employer match

Relocation assistance

Résumé du poste

Recruits Lab is partnering with an AI company to hire a hands‑on Product Manager who has taken software from concept to launch. You’ll own product discovery and delivery, work directly with engineers, and build AI-powered features that solve complex professional workflow challenges.

Austin‑based hybrid role with two office days recommended; relocation assistance may be available. You’ll collaborate closely with engineers and stakeholders to shape APIs, data models, and model behavior while

Qualifications

• 4+ years of professional experience, including at least 3 years in product management.
• Hands‑on experience building or shipping AI/LLM-powered features and using AI tools in your own work.
• Startup or small‑company experience, strong initiative, and recent hands‑on product execution.

Responsabilités

• Own products and major features from discovery through launch and iteration.
• Translate user needs into clear requirements and an actionable roadmap.
• Partner with engineers on APIs, data models, technical tradeoffs, and AI model behavior.
• Use customer feedback and product performance to prioritize improvements.
• Create practical product processes within a small, fast‑moving team.

Connaissances

Product management

AI & LLM

Engineering collaboration

Roadmapping

Technical fluency

Outils

APIs

Data modeling

Description du poste

Recruits Lab is partnering with an AI company to hire a hands‑on Product Manager who has taken software from concept to launch. You’ll own product discovery and delivery, work directly with engineers, and build AI-powered features that solve complex professional workflow challenges.

Austin‑based hybrid role with two office days recommended; relocation assistance may be available. You’ll collaborate closely with engineers and stakeholders to shape APIs, data models, and model behavior while