Self-Serve Product Manager: Data-Driven Growth

Xsolla; Arizona; On-site; USD 55,000 - 95,000; Full time

Job summary

Xsolla is seeking a data-driven Product Manager for the self-service direction. You will rely on data to identify friction, generate hypotheses, and back decisions with numbers, collaborating across engineering, design, data, marketing, onboarding, support, and game developers worldwide.

You will work on discovery, prioritization, and execution, turning insights into a roadmap while combining quantitative signals with qualitative research to understand user needs in a self-service context.

Qualifications

• 4+ years of product management experience in SaaS/e-commerce/fintech/gaming, ideally self-service or PLG.
• Strong analytical skills: SQL, product analytics tools (Amplitude/GA4/Looker), funnel and cohort analysis.
• Proven ability to derive insights from data, form hypotheses, and validate them.
• Track record of data-driven product decisions and improvements.
• Excellent problem-solving, proactive mindset, and attention to detail.
• Verbal and written English communication.
• Familiarity with Agile/Scrum and Jira/Confluence.

Responsibilities

• Data-Driven Problem Solving: use product analytics daily to identify friction points and opportunities and translate into solutions.
• Hypothesis Generation & Validation: form and test hypotheses against metrics and user behavior.
• Data-Informed Prioritization: base roadmaps on metrics and impact, not opinions.
• Product Execution: plan and ship features with engineering and design, track timelines across projects.
• Discovery & Research: combine quantitative signals with qualitative research to understand user needs in self-service.
• Documentation & Enablement: maintain docs and share findings across teams.

Skills

Data-driven mindset

SQL

Analytical thinking

Prioritization

Tools

Amplitude

GA4

Looker

Jira

Confluence

BigQuery

Tableau

Python

Job description

Xsolla is seeking a data-driven Product Manager for the self-service direction. You will rely on data to identify friction, generate hypotheses, and back decisions with numbers, collaborating across engineering, design, data, marketing, onboarding, support, and game developers worldwide.

You will work on discovery, prioritization, and execution, turning insights into a roadmap while combining quantitative signals with qualitative research to understand user needs in a self-service context.