Remote Product Owner: Data-Driven Delivery Leader

24-MAG; United States; Remote; USD 120,000 - 200,000; Full time

Job summary

24-MAG is seeking an experienced Product Owner to drive end-to-end product ownership for customer-facing software in a fast-moving, data-informed environment. You will collaborate with engineering, data, and business teams to transform complex problems into focused, high-quality releases.

The ideal candidate combines strong product judgment with analytical decision-making, technical fluency, and the ability to move quickly from discovery through launch, measurement, and iteration, all in a fully

Qualifications

• Proven experience as Product Owner or Product Manager leading live software products.
• Strong ability to translate user and business problems into clear requirements.
• Demonstrated skill in using KPIs and usage data to guide decisions.
• Excellent written and verbal communication with stakeholders.
• Technical fluency and comfort in fast-moving, ambiguous environments.

Responsibilities

• Own the product lifecycle from discovery to launch and iteration.
• Translate complex problems into executable releases with clear priorities.
• Define direction while focusing on practical delivery and impact.
• Coordinate priorities across engineering, data, and business teams.
• Maintain accountability for outcomes throughout development and post-launch iterations.

Skills

Product ownership

Data-driven decision making

Cross-functional leadership

Analytical decision making

Product judgement

Communication skills

Tools

AI/ML

LLMs

Analytics platforms

Job description

24-MAG is seeking an experienced Product Owner to drive end-to-end product ownership for customer-facing software in a fast-moving, data-informed environment. You will collaborate with engineering, data, and business teams to transform complex problems into focused, high-quality releases.

The ideal candidate combines strong product judgment with analytical decision-making, technical fluency, and the ability to move quickly from discovery through launch, measurement, and iteration, all in a fully