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Data Product Manager, Derivatives (12 months contract)

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Remote from
APAC
Salary
Undisclosed
Employment
Contract
Experience
Open level
Published
Apply before
2 Dec 2026
Listing views
26
Application actions
1
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AI Summary

The role, at a glance.

This fixed-term Data Product Manager role owns data-driven product initiatives for Binance Derivatives, including futures and TradFi-related experiences. The hire will analyze trader and user behavior, identify opportunities, prioritize a roadmap, and guide initiatives through launch and iteration. Success is measured through engagement, conversion, retention, and other product-performance metrics. The role requires strong derivatives knowledge, independent analysis of large datasets, cross-functional leadership, and bilingual English/Mandarin communication. It is a remote 12-month contract open across APAC time zones.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe role combines product ownership with advanced behavioral analysis in a complex, regulated, fast-moving crypto-derivatives domain. It requires independently turning large-scale data into measurable product decisions while coordinating many stakeholders.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$135,000
US market range (per year)$110k–$165k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer pay range is disclosed. The annual figures are AI estimates for a mid-level data-focused product manager with derivatives expertise on a 12-month contract; yearly cadence is inferred from the full-time fixed-term professional role.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you identify and prioritize an opportunity to improve derivatives trader retention?

I would segment traders by behavior, lifecycle stage, instrument usage, and retention patterns, then identify funnel drop-offs and high-value cohorts. I would quantify the expected impact, validate the problem with qualitative feedback where available, and prioritize an experiment based on user value, business impact, confidence, and delivery effort.

Describe how you would measure the success of a new futures-trading experience.

I would define a primary outcome metric such as successful trade conversion or retained active traders, supported by activation, feature adoption, order completion, latency, error rate, and risk-related guardrails. I would compare performance against a baseline or controlled experiment and monitor both immediate and longer-term cohort effects.

What derivatives concepts are most important when designing a product for futures traders?

Key concepts include leverage, margin, liquidation, funding rates, mark price, order types, position modes, and realized versus unrealized P&L. Product decisions should make these mechanics understandable while preserving speed, clarity, and appropriate risk controls.

How do you turn a large, ambiguous dataset into an actionable product recommendation?

I start by framing a decision and defining the relevant user behavior, success metric, and comparison groups. I then clean and explore the data, test hypotheses, quantify the opportunity, document assumptions and limitations, and present a recommendation with expected impact and a practical validation plan.

How would you handle disagreement between engineering, compliance, and marketing on a proposed product campaign?

I would align the group on the user problem, business objective, constraints, and non-negotiable risk requirements. I would use data and clear trade-offs to evaluate options, propose a compliant minimum viable approach where needed, assign decision owners, and document the rationale and success measures.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.

We’re looking for a Data Product Manager to own data-driven product initiatives across our derivatives business. This is a 12 months contract where you’ll drive measurable improvements to trader engagement, conversion, and product experience — from insight to shipped feature. This is a full-time fixed-term (12 months) remote contract position. Contract extension may be possible, but cannot be guaranteed. You do not need to be based in the indicated locations and may be located anywhere across APAC time zones.

Responsibilities

  • Own the end-to-end lifecycle of data-driven product initiatives/campaigns for Derivatives such as futures, TradFi etc. From problem definition to delivery and post-launch iteration
  • Analyze trading and user behavior data to surface trends, quantify opportunities, and turn them into a prioritized feature roadmap
  • Design data-informed trading experiences that improve engagement, conversion, and retention
  • Partner with Engineering, UI/UX, Marketing, Compliance, and other teams to execute and ship
  • Define success metrics, monitor product performance, and drive continuous optimization based on data and user feedback

Requirements

  • 2+ years in product management, data analysis, or a closely related field, with a track record of shipping data-driven products
  • Solid understanding of derivatives trading mechanics; crypto derivatives experience strongly preferred
  • Strong analytical skills across data analysis, user insights, and business intelligence — comfortable working independently with large datasets
  • Proven ability to translate data into actionable product decisions and measurable outcomes
  • Excellent communication and stakeholder management; experience leading cross-functional collaboration
  • Bilingual English/Mandarin required to coordinate with overseas partners and stakeholders

Why Binance

  • Shape the future of finance
  • Collaborate with world-class talent in a user-centric global organization with a flat structure
  • Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
  • Thrive in a results-driven workplace with opportunities for career growth and continuous learning
  • Competitive salary and company benefits
  • Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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