AI-Driven Product Manager — Turn Operations into Product

WithCoverage; New York (NY); On-site; USD 140,000 - 220,000; Full time

Benefits offered by this job

Equity included

Comprehensive benefits

Flexible time off

In-office culture & events

Job summary

WithCoverage is hiring a Product Manager for its R&D team in New York. The role focuses on turning complex operational workflows into simple, effective products, working closely with business teams to understand processes, and translating insights into practical product improvements.

You will help mature product discipline, scope work, and drive initiatives from problem to production, with a strong emphasis on AI-native solutions and measurable outcomes.

Qualifications

• 2+ years of product management experience.
• Strong core PM skills: scoping, prioritization, tradeoff analysis, writing clear requirements, driving cross-functional execution.
• Highly data fluent: defines metrics and uses evidence to decide on investment.

Responsibilities

• Turn operational pain into product by translating workflow bottlenecks into improvements.
• Scope problems clearly with explicit requirements, acceptance criteria, edge cases, and success measures.
• Drive product execution from problem to production across design and engineering.
• Build AI-native products by leveraging AI tools in day-to-day work.
• Measure outcomes by defining success metrics and instrumenting products.
• Develop scalable product practices to grow with the company while maintaining speed.
• Make good tradeoffs balancing user needs, complexity, and impact.

Skills

Product management

Data-driven decisions

Cross-functional collaboration

Job description

WithCoverage is hiring a Product Manager for its R&D team in New York. The role focuses on turning complex operational workflows into simple, effective products, working closely with business teams to understand processes, and translating insights into practical product improvements.

You will help mature product discipline, scope work, and drive initiatives from problem to production, with a strong emphasis on AI-native solutions and measurable outcomes.