Senior Product Manager

#paid

. Own the product roadmap for the Data & ML squad, beginning with predictive performance infrastructure and creator–brand match quality .

Posted 10/13/2026full-timeRemote • United States, CanadaSenior💰 $180,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management with a focus on data and machine learning, including the ability to define metrics, balance user needs, and drive commercial outcomes. Proficient in collaborating with technical teams and translating data insights into actionable product strategies.

Highest-signal resume keywords

Product Management ExperienceData and ML Product DevelopmentMetric Definition and PrioritizationSQL and BigQuery ProficiencyCreator Economy Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Roadmap OwnershipNorth Star Metric SettingData Analysis and ExperimentationML-Powered Feature SequencingRecommendation Systems DevelopmentPredictive AnalyticsData Insights NarrationUser Group BalancingPlatform BuildingInternal Data Tools Development

Soft Skills

Comfort with AmbiguityCollaboration with Design TeamsClear Communication

Tools & Technologies

BigQuerySnowflakeLLMsAI-Native Workflows

Industry Keywords

Creator EconomyMarketplace ChallengesTwo-Sided Platform

Tech Stack

Tools & technologies

BigQuerySQL

About the role

Key responsibilities & impact

Own the product roadmap for the Data & ML squad, beginning with predictive performance infrastructure and creator–brand match quality
Use data and conversations with brands and creators to identify signals that drive brand retention
Turn ML and data capabilities into product value for brands and creators, while building reusable capabilities for products including Forge AI
Partner with Data Product Engineering leads to align data product strategy with company OKRs and commercial outcomes such as net dollar retention, retention, and contribution margin
Define north star, secondary, and counter metrics for products and features
Decide when to run experiments, design them, and analyze results with engineering and data partners
Balance brand and creator needs and explain tradeoffs
Sequence ML-powered features from predictions to recommendations to automated actions to build brand trust
Collaborate with design from project inception and make go/no-go and deprioritization decisions
Study competitors and market trends to identify opportunities and anticipate constraints
Clearly report results, learnings, and next steps

Requirements

What you’ll need

6+ years of product management experience, owning a product area end to end
Experience setting a north star metric, with secondary and counter metrics, and using it to make prioritization and go/no-go calls
History of owning roadmaps tied to commercial outcomes, such as NDR, churn reduction, or ARPU growth
Comfort with ambiguity: structuring problems, forming hypotheses, and finding evidence when data is thin
Experience balancing the needs of different user groups and working with design from the start
2+ years on data, ML, or analytics products, including shipping recommendations, ranking, prediction, or scoring features end to end
Technical fluency with data and ML engineers, including reading SQL and working in BigQuery or Snowflake
Ability to turn model outputs and data insights into clear narratives for non-technical stakeholders
Experience building platforms used by multiple internal teams is nice to have
Working experience with LLMs or AI-native product workflows, such as prompting, agent design, or retrieval-augmented generation, is nice to have
Familiarity with creator economy, marketplace, or two-sided platform challenges is nice to have
Experience building internal data tools for operations and customer success teams is nice to have

Benefits

Comp & perks

Variable pay (bonus or commission)
Stock options
Perks and benefits, depending on the role and location
Accommodations during the recruitment process