• Manage AI strategy across a portfolio of companies focused on production-grade AI systems • Work directly with CEOs, CTOs, and VP Engineering leaders as a hands-on player-coach • Define and implement AI-powered software development lifecycle (SDLC) with a focus on AI adoption • Lead a small, high-impact AI engineering team to develop reusable playbooks and frameworks • Collaborate with internal teams to integrate AI solutions that deliver clear business outcomes • Oversee the development of AI coding agents for automation, testing, and code generation • Ensure compliance with data protection standards and establish governance controls around AI use

• Act as project manager for multiple software development initiatives • Clearly communicate project delivery framework within the team and implement project standards • Plan and schedule project timelines and milestones using project management software; maintain and update plans as needed during the lifecycle of the project • Track project milestones and deliverables and ensure the project team is aware of upcoming deadlines • Effectively communicate project delivery expectations and progress to team members and executive team in a timely and clear manner • Define project success criteria and disseminate them to involved parties throughout project life cycle • Assess project status and report to executive leadership team regularly • Delegate tasks and responsibilities to appropriate owners • Assess and manage the risk of schedule changes and help identify and implement mitigation strategies • Identify and resolve issues and conflicts within the project team • Identify and manage project dependencies and critical path

• Facilitate career growth in a team of engineers, including performance reviews, goal-setting, and regular 1:1’s. • Drive team to sustainably high output • Ensure the team has the right process in place for them to succeed • Build team cohesion and facilitate team building activities • Participate in leadership discussions to drive the department forward • Work across teams to solve problems and coordinate major initiatives • Provide input and feedback on department wide policies and processes • Partner with team members such as Product Managers, Tech Leads, and other department stakeholders, to ensure that team level goals are being met. • Participate in the recruitment process across the department • Get involved with company-wide meetings and outings • Become immersed in the payments industry

• Hands-on technical management role. The Engineering Manager has the depth to drop into code when the team needs them - debugging critical production issues, unblocking engineers, validating architectural decisions, and coaching through code. • Owns the strategic relationship with external delivery partners for digital product execution; holds them accountable to staffing commitments, capability standards, and role-level expectations (tech lead, scrum master, developers) across pods. • Ensures vendor engineers assigned to each pod have the right expertise; addresses skill gaps through staffing decisions, coaching, or replacement. • Owns the long-term internal-vs-vendor balance - what stays with vendors, what transitions in-house. Creates and executes a 12-18 month transition roadmap sequenced by risk and value. • Hire and manage the internal engineering team– Recruit engineers as needed and directs the team's work, ensures quality and delivery, and evolves scope away from content updates toward higher-value development work. • Owns hiring, onboarding, performance management, and career development. • Builds the internal team over time - identifies roles to bring in-house, hires against them, grows engineers from within. • Sets the cadence of 1:1s, team rituals, and engineering operating norms; builds a culture of ownership, quality, and partnership with Product. • Identifies and plans technical debt remediation across both stacks; conducts regular audits of code quality and architecture health across pods. • Maintains cross-pod engineering consistency - code standards, deployment practices, quality bar, enable achievement of the user experience goals. • Owns platform operational reliability - uptime, incident response health, post-mortem follow-through.