Live opening · Posted 9 hours ago

Senior Product Manager

Ladders · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 9 hours ago
CompanyLadders
LocationUnited States (Remote)
Salary$180K/yr - $190K/yr
Work modeYes
SourceLinkedin
ListedPosted 9 hours ago

About the role

Description supplied by the original job listing.

For our client, we are seeking a Senior Product Manager to join the team of a leader in the Media space.
This role will own product strategy and execution for data- and machine learning-driven capabilities that help improve brand retention and match quality. The position partners closely with engineering, data, and design to turn ambiguous problems into measurable product outcomes. You will define the metrics that guide prioritization, shape experiments, and translate technical infrastructure into clear value for users and business stakeholders.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $180,000 – $190,000 annually
Responsibilities
Own the product roadmap for predictive performance infrastructure and brand-match quality
Use data and customer conversations to identify the key drivers of brand retention
Translate ML and data capabilities into clear product value for users
Collaborate with engineering leads to align product strategy with business goals
Define north star metrics and supporting metrics for product features
Design and analyze experiments with engineering and data partners
Balance competing needs across customer groups and explain tradeoffs clearly
Qualifications
6+ years of product management experience, with ownership of a product area end to end
Experience defining a north star metric and using it to guide prioritization
History of managing roadmaps tied to commercial outcomes such as NDR or churn reduction
Comfort operating in ambiguity and structuring problems with limited data
Experience balancing the needs of multiple user groups and collaborating with design from the start
2+ years of experience with data, ML, or analytics products, shipping features end to end
Technical fluency to work with data and ML engineers, including SQL proficiency
Benefits
Transparent and fair compensation framework based on clearly defined job levels
Opportunities for variable pay, stock options, and additional perks
Focus on measurable impact and user benefits in product development
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

Work arrangement
Yes

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