Senior Product Engineering Leader

Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Senior Product Engineering Leader About your role: As a Senior Product Engineering Leader, you will own the engineering velocity, product delivery systems, and AI-enabled development practices that enable Fiserv product teams to ship faster, with higher quality, and with greater business impact. You will be the connective tissue between product leadership, P&L owners, and engineering execution — translating business outcomes into delivery systems, reducing friction from idea to production, and raising the engineering bar across the organization. You will operate at the intersection of product strategy and engineering excellence: accelerating feature throughput, embedding AI into the software delivery lifecycle (SDLC), and ensuring teams are measuring what matters — from cycle time to customer-facing business outcomes. While you will also strengthen the release governance, CI/CD, and operational readiness practices that protect production reliability in a regulated fintech environment, your primary mandate is product velocity and delivery excellence, not infrastructure operations.

Product Velocity and Engineering Delivery Partner closely with P&L leaders, product managers, and business stakeholders to understand roadmap priorities, translate them into engineering delivery commitments, and hold teams accountable to shipping outcomes — not just activity Define and drive product engineering KPIs including cycle time, lead time, deployment frequency, feature throughput, and customer-facing quality metrics across product lines Identify and systematically remove delivery bottlenecks — whether in planning, dependency management, testing throughput, review cycles, or release coordination — that slow feature flow from backlog to production Establish clear, lightweight delivery governance: sprint health reviews, milestone tracking, release readiness gates, and executive-level visibility into what is shipping, when, and with what risk Build and sustain a culture of delivery accountability across engineering teams — where commitments are made carefully, tracked rigorously, and missed commitments generate learning, not blame Drive reduction of technical debt and legacy complexity that impairs product velocity — prioritizing modernization efforts based on delivery impact and business value AI-Enabled SDLC and Developer Productivity Lead the adoption of AI-assisted development practices across engineering teams — including AI code generation, AI-driven test authoring, intelligent code review, and automated documentation — to measurably accelerate developer throughput Build or acquire an AI-enabled SDLC platform: integrating tools such as GitHub Copilot, Cursor, Amazon CodeWhisperer, or equivalent into standardized workflows, measuring productivity lift, and scaling adoption across teams Define and track Developer Experience (DX) metrics — build times, local feedback loops, onboarding speed, context-switching cost — and drive continuous improvement Champion agentic AI workflows for repetitive engineering tasks: test generation, regression analysis, release notes, incident summarization, and compliance evidence collection Evaluate and pilot emerging AI engineering tools; build a learning community and internal capability so engineering teams stay ahead of the curve on AI-enabled productivity Partner with platform engineering to ensure the AI developer toolchain is secure, compliant