Product Manager, Self-Service

Xsolla; Cis; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Xsolla is seeking a data-driven Product Manager for our self-service direction. You will rely on data to identify problems, generate hypotheses, and back decisions with numbers. Collaborate with engineering, design, data, marketing, onboarding, support, and game developers worldwide to drive growth and improvements.

You will use Amplitude, GA4, Looker, and other analytics to inform prioritization and roadmap. Strong SQL skills and experience with product analytics are essential.

Competenze

• 4+ years of experience in product management within SaaS, e-commerce, fintech, or gaming.
• Strong analytical skills: SQL, product analytics tools (Amplitude, GA4, Looker).
• Ability to uncover insights from data and translate into hypotheses.
• Track record of data-driven product decisions and improvements.
• Excellent problem-solving, proactive mindset, and attention to detail.
• Fluent English communication, written and verbal.
• Familiarity with Agile/Scrum practices and Jira/Confluence.

Mansioni

• Data-Driven Problem Solving: identify friction points and opportunities using product analytics.
• Hypothesis Generation & Validation: formulate and test hypotheses with metrics and user behavior.
• Data-Informed Prioritization: base roadmap decisions on metrics and impact.
• Product Execution: plan and ship features with cross-functional teams.
• Discovery & Research: combine quantitative signals with qualitative research to understand user needs.
• Documentation & Enablement: share findings across teams and maintain docs.

Conoscenze

SQL

Product analytics

Data-driven decision making

Problem solving

English communication

Agile/Scrum

Strumenti

Amplitude

GA4

Looker

Jira

Confluence

BigQuery

Tableau

Python

Descrizione del lavoro

About the Role

We are looking for a data-driven Product Manager for our self-service direction. In this role, analytics is your primary working tool: you will rely on data to find problems and opportunities, generate and validate hypotheses, and back every product decision with numbers. You will collaborate closely with engineering, design, data, marketing, onboarding, and support teams, and with game developers worldwide.

Responsibilities

• Data-Driven Problem Solving: Use product analytics daily to identify friction points, growth opportunities, and anomalies in the self-service experience, and turn these insights into product solutions.

• Hypothesis Generation & Validation: Formulate hypotheses based on data, validate them against metrics and user behavior, and translate confirmed findings into the roadmap.

• Data-Informed Prioritization: Ground planning and prioritization in metrics and expected impact, so roadmap decisions are consistently backed by data rather than opinions.

• Product Execution: Plan and ship features and improvements with engineering and design; maintain clarity on timelines across multiple projects.

• Discovery & Research: Combine quantitative signals with qualitative research (support tickets, surveys, interviews) to understand user behavior and needs in a self-service context.

• Documentation & Enablement: Maintain internal and external documentation and share findings from data across teams.

Qualifications & Skills

• 4+ years of experience in product management within SaaS, e-commerce, fintech, or gaming — ideally with self-service or product-led growth products.
• Strong analytical skills: confident SQL, hands‑on experience with product analytics tools (Amplitude, GA4, or Looker), funnel and cohort analysis.
• Proven ability to find insights in data, turn them into hypotheses, and validate them.
• Track record of product decisions and improvements driven by data.
• Excellent problem‑solving skills, proactive mindset, and attention to detail.
• Verbal and written communication skills in English.
• Familiarity with Agile/Scrum practices and Jira/Confluence.

Nice to Have

• Experience with payments, game commerce, or developer‑facing platforms.
• Hands‑on experience with BigQuery, Tableau, or Python for analysis.