Senior AI & Analytics Product Leader (Remote)

Ladders; United States; Remote; USD 150,000 - 180,000; Full time

Benefits offered by this job

Incentive bonus

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

10 paid holidays

Generous paid time off

Employee stock purchase plan

Paid parental leave

Paid family leave

Job summary

Ladders is seeking a Senior Product Manager, AI & Analytics to own a strategic AI product area in the telecommunications and hardware space. You will align AI research with deployment, define success metrics, and drive adoption across teams to deliver measurable business impact from AI features.

The role partners with engineering, sales, and marketing to bring AI capabilities into production at scale, with a remote US-based scope and a compensation package reflecting seniority.

Qualifications

• 5+ years of product management experience in software or cloud solutions.
• Proven track record deploying AI/ML products at production scale.
• Deep understanding of computer vision and deep learning technologies.
• Experience running customer discovery and translating insights into strategy.
• Ability to visualize edge-to-cloud AI interactions at scale.
• Exceptional cross-functional communication and influence.

Responsibilities

• Own the strategic AI product area, including vision and roadmap creation.
• Bridge AI research with technical deployment, assessing model trade-offs.
• Lead ongoing market discovery to identify operational pain points.
• Drive alignment of AI features across video management and access control teams.
• Define metrics for success and verify adoption and engagement data.
• Engage with sales and marketing for successful product launches.

Skills

Product management

AI/ML deployment

Computer vision

Cross-functional leadership

Edge-to-cloud AI

Job description

Ladders is seeking a Senior Product Manager, AI & Analytics to own a strategic AI product area in the telecommunications and hardware space. You will align AI research with deployment, define success metrics, and drive adoption across teams to deliver measurable business impact from AI features.

The role partners with engineering, sales, and marketing to bring AI capabilities into production at scale, with a remote US-based scope and a compensation package reflecting seniority.