Product Manager - AI-Driven Platform & Growth

Talentstream; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Talentstream is seeking an experienced Product Manager in the United States to lead end-to-end product development, guided by data from users, operations, and business metrics.

You will collaborate with engineering, design, and business teams, translate problems into actionable requirements, and drive timely, iterative deliveries while tracking success metrics and exploring AI-enabled improvements.

Qualifications

• Strong problem-solving and analytical skills.
• Proficiency in SQL or analytics tools and metric definition.
• Excellent communication and stakeholder management skills.
• Strong product sense and understanding of user needs.
• Experience managing complex platforms and cross-functional dependencies.
• Proactive ownership and ability to work independently.
• Strong understanding of AI tools and their product applications.
• Platform, marketplace, or internal tooling experience is a plus.
• Exposure to ERP/SAP systems is a plus.

Responsibilities

• Own product development from discovery to launch and adoption.
• Analyze user, business, and operational data to guide decisions.
• Collaborate with engineering, design, and business teams.
• Convert business problems into clear product requirements.
• Manage iterative delivery and ensure timely launches.
• Define success metrics and track product outcomes.
• Identify AI/LLM opportunities and use AI tools to improve workflows.

Skills

Strong problem solving

Analytical skills

SQL

Analytics tools

Excellent communication

Stakeholder management

Product sense

Independent work

Cross-functional collaboration

AI tools

Tools

ERP/SAP exposure

AI tooling platforms

Job description

Talentstream is seeking an experienced Product Manager in the United States to lead end-to-end product development, guided by data from users, operations, and business metrics.

You will collaborate with engineering, design, and business teams, translate problems into actionable requirements, and drive timely, iterative deliveries while tracking success metrics and exploring AI-enabled improvements.