Product Manager – Partner Management
AVA Trade Ltd, New York, NY, United States
We are seeking an experienced Senior Product Manager to lead the implementation and development of an AI-powered Partner Management system, working closely with engineering, data, and business teams across the organization.
Responsibilities
AI Product Implementation: Lead the implementation and rollout of a new AI-enabled Partner Management System, ensuring alignment with business objectives and operational needs.
Manage product outcomes through a system-level approach including model behavior, data quality, user workflows, evaluation loops, and trust/safety controls.
Partner Platform Management: Define and manage processes supporting both online affiliates (financial websites, academies, referral platforms) and offline partners such as call centers and trading academies.
Product Requirements Definition: Collect and analyze business and technical requirements and translate them into clear product specifications, including structuring ambiguous AI capabilities into defined workflows and features.
CRM & System Integration: Work closely with engineering and data teams to ensure seamless integration between the Partner Management platform, CRM systems, and internal data infrastructure.
Project Management & Planning: Develop work plans, manage timelines, and coordinate cross-functional teams including engineering, data, marketing, and partner operations.
Data Analysis & KPI Setting: Analyze product and partner performance using BI tools, define KPIs, and implement data-driven improvements to optimize partner acquisition and conversion.
Experimentation & Optimization: Define evaluation frameworks, run experiments, and continuously improve AI-driven product performance and decision quality.
Work hands-on with AI tools (e.g., Claude Co-Work Product Management plugin or similar) to enhance product workflows and decision-making.
Stakeholder Collaboration: Work closely with internal teams and external partners to support onboarding, inly with internal teams and external partners to support onboarding, integrations, and ongoing platform adoption.
Requirements
Experience: 4–7+ years of Product Management experience, with mandatory experience in fintech or trading companies.
AI & Data Platforms: Experience working with AI-based systems and collaborating with data and engineering teams.
: Strong understanding of managing model behavior, data quality, user workflows, evaluation frameworks, and trust/safety controls in production environments.
Experience managing platform products, partner ecosystems, APIs, or complex system integrations.
Technical & Analytical Skills: Strong analytical skills and experience working with BI/analytics tools to support product decisions.
Experimentation Mindset: Ability to define hypotheses, measure outcomes, and iterate based on data and model performance.
AI Model Governance: Experience defining guardrails, monitoring model performance, and ensuring reliability and trust in AI-driven systems.
Hands-on experience with tools such as Claude Co-Work Product Management plugin or similar — advantage.
Execution & Ownership: Ability to translate business goals into measurable product behavior and scalable workflows.
Leadership & Cross-Functional Work: Proven ability to lead initiatives and work across multiple teams in a matrix environment.
Language Skills: Full proficiency in English, both written and spoken, with excellent communication.
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Responsibilities
AI Product Implementation: Lead the implementation and rollout of a new AI-enabled Partner Management System, ensuring alignment with business objectives and operational needs.
Manage product outcomes through a system-level approach including model behavior, data quality, user workflows, evaluation loops, and trust/safety controls.
Partner Platform Management: Define and manage processes supporting both online affiliates (financial websites, academies, referral platforms) and offline partners such as call centers and trading academies.
Product Requirements Definition: Collect and analyze business and technical requirements and translate them into clear product specifications, including structuring ambiguous AI capabilities into defined workflows and features.
CRM & System Integration: Work closely with engineering and data teams to ensure seamless integration between the Partner Management platform, CRM systems, and internal data infrastructure.
Project Management & Planning: Develop work plans, manage timelines, and coordinate cross-functional teams including engineering, data, marketing, and partner operations.
Data Analysis & KPI Setting: Analyze product and partner performance using BI tools, define KPIs, and implement data-driven improvements to optimize partner acquisition and conversion.
Experimentation & Optimization: Define evaluation frameworks, run experiments, and continuously improve AI-driven product performance and decision quality.
Work hands-on with AI tools (e.g., Claude Co-Work Product Management plugin or similar) to enhance product workflows and decision-making.
Stakeholder Collaboration: Work closely with internal teams and external partners to support onboarding, inly with internal teams and external partners to support onboarding, integrations, and ongoing platform adoption.
Requirements
Experience: 4–7+ years of Product Management experience, with mandatory experience in fintech or trading companies.
AI & Data Platforms: Experience working with AI-based systems and collaborating with data and engineering teams.
: Strong understanding of managing model behavior, data quality, user workflows, evaluation frameworks, and trust/safety controls in production environments.
Experience managing platform products, partner ecosystems, APIs, or complex system integrations.
Technical & Analytical Skills: Strong analytical skills and experience working with BI/analytics tools to support product decisions.
Experimentation Mindset: Ability to define hypotheses, measure outcomes, and iterate based on data and model performance.
AI Model Governance: Experience defining guardrails, monitoring model performance, and ensuring reliability and trust in AI-driven systems.
Hands-on experience with tools such as Claude Co-Work Product Management plugin or similar — advantage.
Execution & Ownership: Ability to translate business goals into measurable product behavior and scalable workflows.
Leadership & Cross-Functional Work: Proven ability to lead initiatives and work across multiple teams in a matrix environment.
Language Skills: Full proficiency in English, both written and spoken, with excellent communication.
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