Job Description

The Square Risk team works to protect our customers and Square from financial risk coming from Fraud, Payment Disputes, and Credit. We keep our customers safe while $160B+ flows through Square annually, and we allow the entire company to take risks and grow. We take pride in our work and our mission to protect Square, protect our customers, and make a complicated and sometimes painful process understandable to all.

We are looking for a Technical Program Manager to lead cross-team initiatives focused on our payment and card issuing disputes strategies. You will be a strategic partner across product, engineering, machine learning, policy and operations to support our sellers from and during card disputes.

You will:

• Partner closely with product, machine learning, data science, engineering, policy, and operation teams to plan and execute multi-team and multi-stakeholder programs and initiatives.
• Use your understanding of risk and program management to identify dependencies, critical path / "long poles," blockers, and key execution risks and develop actionable mitigation strategies.
• Periodically review and communicate key metrics, developments, updates, project health and problems, and manage expectations of all stakeholders, both technical and non-technical across Square and Cash.
• Align and partner with cross-functional stakeholders across Risk and beyond, understanding ambiguous problems/dependencies, and partnering with Product on requirements and solutions
• Manage complex technical programs and the team’s roadmap to drive the goals of Disputes forward, ensuring implementation
• Become subject matter expert within Disputes to interface with partners across the org

Qualifications

• Technical Program Management or equivalent management experience in a mid- to large-sized company running complex programs with multiple stakeholders for at least 5 years.
• Experience delivering complex projects that involve cross functional contributors on-time and within expected results.
• Experience building sustainable, repeatable processes to improve efficiency and effectiveness.
• Firm grasp of software development lifecycles and agile methodologies best practices.
• Experience understanding high-level software and machine learning capabilities.
• Ability to drive clarity from ambiguity and break down complex projects into manageable, interdependent deliverables.
• The ability to understand and deal well with rapid development cycles and to remain flexible in the face of uncertainty.
• Demonstrated experience managing trade-offs given specific constraints.
• Excellent communication, organizational and leadership skills; ability to inspire team members.
• [Bonus] Experience in risk, fraud or other risk related problem spaces; experience in new market entry or with global teams