Remote Product Manager — Trader Loyalty & Growth

Quadcode

Georgia

Híbrido

USD 90.000 - 130.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Remote work
Impact on product
Creative freedom
Professional growth
AI tools access
Friendly atmosphere

Descripción de la vacante

Quadcode is seeking a Product Manager for the Clients Experience team to own and optimize the Trader loyalty program. You will drive metrics, run experiments, and tie improvements to revenue impact across a global customer base.

Ideal candidates deeply understand trading/financial markets, can translate hypotheses into measurable tests, and balance user value with economics. Remote-friendly role with strong collaboration across teams.

Formación

  • Data-driven approach with metrics to evaluate feature success.
  • Experience in Trading, Brokerage or Financial Markets required.
  • Ability to set tasks for dev/design, backlog prioritization and A/B tests.
  • Ability to analyze user experience and interfaces.
  • Ability to validate business hypotheses with data.
  • Balance user value with product economics.
  • Proficient in Russian; English at upper-intermediate level.

Responsabilidades

  • Direct impact on key metrics: CR to FTD, LTV, Retention, Revenue.
  • Lead dozens of hypotheses and interface experiments.
  • Provide transparent, measurable results in monetary terms.
  • Improve user experience for thousands of customers.
  • Collaborate with analysts, designers and engineers.
  • Realize your vision for an ideal bonus system.

Conocimientos

Data-driven mindset
Trading / Brokerage experience
Backlog prioritization
Experimentation / A/B testing
UX analysis
Hypothesis validation with data
Russian language proficiency
English proficiency

Descripción del empleo

Quadcode is seeking a Product Manager for the Clients Experience team to own and optimize the Trader loyalty program. You will drive metrics, run experiments, and tie improvements to revenue impact across a global customer base.

Ideal candidates deeply understand trading/financial markets, can translate hypotheses into measurable tests, and balance user value with economics. Remote-friendly role with strong collaboration across teams.

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