Product Manager Internal Product

## About the Role Fix Alpaca's operational bottlenecks for scale. Your mission is to own and break the cycle of operational debt by transforming high-risk bottlenecks into automated, scalable solutions. You will operate as the critical bridge, ensuring Alpaca's ambitions are balanced against operational reality to secure the foundation for parabolic growth. ## 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. Eliminate critical failure modes by automating core workflows. - 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. ## Requirements - Experience: 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. - Leadership: 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. - Automation Obsessed: A deep, demonstrated passion for following and applying workflow automation and AI trends pragmatically to brokerage operations. - Operational Knowledge: Strong functional knowledge of brokerage or financial operations (settlements, reconciliations, client money, best execution, etc.) and regulatory compliance/risk mitigation. - Financial Infrastructure Knowledge: Experience working with broker-dealer platforms, clearing firms, or trading infrastructure, with exposure to post-trade operational workflows. - Technical Fluency: Proficient with data, understanding complex system boundaries, and process mapping skills. ## Nice to Have - Direct experience with brokerage ops, cost basis, corporate actions, or security master systems - Strong familiarity with AI automation