Product Manager - Internal Tools

A
Alpaca FinTech
Remote - Americas. globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!Full-Time
Salary not disclosed
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Job Details

Required Skills
Artificial IntelligenceData Analysis

Requirements

  • Proven track record in Product Management or technical operations roles, with a focus on FinTech, Brokerage, or Payments platforms; including leading cross-functional projects and securing resources against competing initiatives.
  • Exceptional prioritization and judgment. Proven ability to measure product impact against risk and cost, influence senior stakeholders, and successfully defend "not now" decisions with clear, actionable data.
  • A deep, demonstrated passion for following and applying workflow automation and AI trends pragmatically to brokerage operations.
  • Strong functional knowledge of brokerage or financial operations (settlements, reconciliations, client money, best execution, etc.) and regulatory compliance/risk mitigation.
  • Experience working with broker-dealer platforms, clearing firms, or trading infrastructure, with exposure to post-trade operational workflows.
  • Proficient with data, understanding complex system boundaries, and process mapping skills.

Responsibilities

  • Own Structural Bottlenecks: Own the product roadmap for Alpaca’s internal workflows and tooling.
  • Drive root cause analysis and execute on the most complex and high-risk operational problems (e.g. AML/KYC workflows, reconciliations, corporate actions, cost basis processing, tax reporting, and security master/reference data management)
  • Automation Strategy: Design systems and leverage internal tooling, AI, and workflow orchestration, so existing operations teams can support 100x growth.
  • Delivery & Measurement: Define clear success metrics and SLAs. Write crisp specifications, map processes, and work cross-functionally to ship high-leverage tooling, iterating based on operational feedback.
  • Data-Driven Prioritization: Design and manage the data framework for selecting strategic projects, blending inputs from the Risk, Sales and Support.
  • Enforce Operational Readiness: Collaborate with Sales and Product to establish, manage, and enforce the operational capacity standards, acting as the critical check between ambitions and operational reality.
  • Platform Strategy & Sourcing: Drive critical Build vs. Buy evaluations for core platform components, ensuring compliance and optimal platform integrity.
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