Tradeify

Customer Support

• Serve as the primary point of contact for Tradeify.co traders and customers, owning interactions from start to resolution through all support channels, including live chat, email, and Discord.
• Accurately identify, assess, and efficiently resolve a wide range of inquiries, spanning from general account questions to more complex technical and operational issues related to trading platforms, data feeds, and execution.
• Use technical ability to master trading platforms, internal tools, and proprietary systems, maintaining in-depth product knowledge through ongoing education.
• Skillfully troubleshoot incoming inquiries, determining severity, and escalating to appropriate internal teams such as Compliance, Operations, and Technology when necessary, ensuring prompt resolution and diligent follow-up.
• Make every trader interaction complete, using empathy as well as knowledge to provide white-glove care.
• Actively participate in improving Tradeify.co’s trader-focused Learning Center and our internal knowledge bases to promote self-service capabilities for traders.
• Contribute to team goals by focusing on customer satisfaction (CSAT), Quality Assurance, and overall response times.
• Educate both existing and potential traders in their understanding of how Tradeify.co works.
• Participate in beta testing new features and contribute to the overall growth and innovation of the company through idea generation and active participation in collaborative team projects.
• Monitor trading systems for common issues and proactively identify potential problems that could impact the trader experience or operational flow.
• Adhere strictly to all internal guidelines, compliance procedures, and industry best practices to ensure a secure, transparent, and trustworthy trading environment.
• Potentially assist with data accuracy and reconciliation tasks as needed to support robust trading operations.

Trader Support Specialist – LATAM

Risk

• Develop, maintain, and enforce risk policies and procedures aligned with Tradeify’s risk appetite and business strategy.
• Monitor real-time trading activity to identify anomalies, excessive exposure, or irregular patterns.
• Collaborate with operations and engineering teams to improve internal monitoring tools, dashboards, and automated alerts.
• Conduct stress testing, scenario analysis, and daily exposure reviews to ensure capital efficiency and compliance.
• Communicate key insights and recommendations to senior leadership, ensuring timely and data-driven decision-making.
• Support new product launches by assessing risk parameters, margin models, and capital allocation frameworks.
• Continuously evaluate and improve Tradeify’s risk models, metrics, and controls as the platform scales.

Risk Manager

Social Media Manager

• Develop and execute a holistic social media strategy to grow awareness, engagement, and community loyalty.
• Create original, visually engaging, and thought-provoking content (short-form videos, carousels, reels, stories, and posts).
• Own the day-to-day social media operations — posting, scheduling, and engaging across multiple channels.
• Partner with cross-functional teams (Design, Product, Community, Tradeify TV) to tell cohesive brand stories and showcase platform updates.
• Monitor market trends, community discussions, and platform algorithms to inform content decisions and identify new opportunities.
• Analyze content performance, provide insights, and iterate to continually optimize for engagement and reach.
• Stay on top of emerging creator trends and formats to keep Tradeify’s content fresh, modern, and relevant.

Social Media Manager, Content Creator

Systems Engineer

• Design and maintain multi-region microservices that ingest, deduplicate, and replay futures market data streams with sub-millisecond ordering guarantees.
• Build a hybrid persistence layer leveraging PostgreSQL, TimescaleDB, Redis, and ClickHouse and know when to apply each in real time.
• Architect backpressure-aware pipelines across Kafka, NATS, and Pulsar simultaneously, with seamless failover strategies.
• Implement an AI and anomaly detection service consuming millions of events per second without packet loss.
• Deliver a multi-monitor Electron desktop shell embedding a proprietary charting platform, with hot-reloading and drag-drop layout persistence.
• Collaborate in a Scrum sprint process: participate in planning, estimation, stand-ups, and retrospectives.
• Write integration harnesses that simulate exchange disconnects, order fills, tick sequence gaps, and user recovery scenarios.

Senior Full-Stack Engineer, Real-Time Systems

Sales

• Drive affiliate success: Work closely with our bottom 600-700 affiliate partners to help them maximize their performance and revenue potential
• Lead relationship building: Conduct regular outreach, support calls, and training sessions to strengthen affiliate partnerships
• Plan and execute events: Organize webinars, networking events, and training workshops to engage and educate our affiliate network
• Create marketing campaigns: Develop promotional materials, email campaigns, and social content to support affiliate marketing efforts
• Support new affiliate acquisition: Collaborate with our affiliate sales team to identify, onboard, and nurture new partnership opportunities
• Analyze performance metrics: Track affiliate performance, identify improvement opportunities, and present insights to drive strategic decisions

Graduate Sales – Marketing Internship

Operations

• Collaborate with trading, risk, and operations leadership to define key performance indicators (KPIs) and gather requirements for new data products and analytical projects.
• Conduct deep-dive analysis on real-time and historical trading data (patterns, performance, drawdowns, and latency) to uncover actionable business insights.
• Design, develop, and maintain dynamic data dashboards and reports (e.g., performance benchmarking, risk exposure) using BI tools to provide clear, immediate visibility into trading performance.
• Assist in monitoring data quality, integrity, and cleanliness across various trading platforms and internal data warehouse systems.
• Contribute to the design and data-feed integrity of real-time monitoring and alerting systems used for live trader risk assessment, supporting manual control interventions by risk analysts (e.g., temporary trade suspensions or account lockouts triggered by position limit breaches).
• Maintain clear documentation of analytical methodologies, data lineage, and consulting engagement outcomes for knowledge transfer across teams.

Associate Data Consultant – Live Trading Operations

SEO Marketing

• Architect SEO foundation and own technical SEO: site architecture, crawl optimization, indexation and rendering, canonical implementation, pagination, Core Web Vitals, page speed, mobile-first requirements, structured data and schema implementation, and technical diagnostics.
• Build and own content hubs with pillar/cluster architecture, information taxonomy, topical authority mapping, and E-E-A-T principles.
• Lead end-to-end keyword and entity research including semantic topic modeling, search intent classification, competitive gap analysis, and opportunity sizing.
• Create scalable content operations through detailed briefs, user intent frameworks, competitive intelligence, and success metrics.
• Establish editorial governance: style guides, content templates, quality benchmarks, publication workflows, and editorial calendar; stand up and manage a team of writers, editors, and SMEs.
• Optimize content lifecycle: systematic refresh cycles, historical optimization programs, and performance-based prioritization.
• Plan, produce, and launch an online course: define curriculum, SEO for course pages, and gated vs. ungated strategy aligned to lifecycle goals.
• Deploy LLM and AI-assisted strategies: structure content for AI overviews/SGE-like experiences and use AI for ideation, briefs, first-draft generation, repurposing, and content QA with human-in-the-loop.
• Collaborate with Engineering, Product, Design, RevOps, and agencies to scope, prioritize, ship fixes, and report on performance in GA4, Google Search Console, and BI tools (Looker Studio).

Senior SEO and Content Specialist

Performance Marketing

• Plan, launch, and scale integrated campaigns across search, social, display, and audio.
• Forecast spend, manage pacing by channel/geo/audience, and protect efficiency.
• Build and run structured test roadmaps, document learnings, and operationalize wins.
• Own conversion tracking, pixels, UTMs, events, and build dashboards in Looker Studio and GA4.
• Partner with Creative, Web, Sales/RevOps, Data, and external agencies.
• Design and maintain scalable operating systems integrating AI, implement QA checklists and guardrails.
• Deliver weekly pacing updates and executive-ready narratives; present forecasts and models.

Senior Paid Media Manager

Data Analyst

• Support comprehensive data analysis initiatives for trading operations and risk assessment
• Assist in developing forecasting models and performance evaluation frameworks
• Contribute to automated reporting systems and real-time monitoring solutions
• Help analyze trader performance metrics and payout risk assessments
• Support competitive analysis and market research activities
• Collaborate on data visualization projects using Tableau and other analytics tools