SVP of Software and Web Engineering

About the role

The SVP of Software and Web Engineering is accountable for the end-to-end engineering function responsible for designing, building, and operating Tidal Financial Group's software platforms, web experiences, APIs, and internal tools. This leader partners closely with Technology & Operations leadership to translate strategy into an executable engineering roadmap, scale engineering practices, and ensure predictable delivery of high-quality, compliant, and resilient systems. This role combines executive leadership, hands-on technical depth, and strong cross-functional influence. The SVP sets engineering direction and standards, develops talent, and ensures that Tidal’s systems and data capabilities support both internal operational excellence and external partner/client expectations.

What you’ll do

• Set engineering strategy and architecture
• Own the technical strategy for applications (build vs. buy, modernization, and platform evolution)
• Establish architecture principles, reference patterns, and reusable components for teams to build quickly and safely
• Ensure systems are designed for reliability, scalability, auditability, and security appropriate for financial services
• Deliver a reliable, transparent engineering operating cadence
• Build an execution model that turns priorities into delivery (intake, planning, sequencing, dependency management, release management)
• Provide decision-grade visibility into progress, risks, and tradeoffs to executive stakeholders
• Partner with program/portfolio leadership to translate roadmap commitments into resourced plans and shipped outcomes
• Lead and grow high-performing engineering teams
• Recruit, retain, and develop engineering talent across software and web disciplines
• Set expectations for engineering excellence: code quality, testing, documentation, on-call readiness, and production ownership
• Create a culture of continuous improvement, pragmatic craftsmanship, and accountability
• Build and modernize web & application platforms
• Own the technical direction for Tidal’s web surfaces and application platforms, ensuring a consistent user experience, accessibility, and performance
• Establish front-end engineering standards and shared components (design system integrations, reusable UI patterns, and developer tooling)
• Drive modernization where needed (framework upgrades, build performance, and sustainable architecture) while protecting delivery velocity
• Build AI and automation capability (where it matters)
• Identify high-ROI automation opportunities across operations and engineering workflows
• Ensure AI-enabled solutions are safe, auditable, and maintainable (privacy, model risk, human-in-the-loop controls where required)
• Raise the organization’s baseline AI fluency through patterns, tooling, and enablement
• Strengthen engineering delivery, security, and compliance
• Own engineering controls and practices that support SOC2/ISO-style expectations (as applicable), vendor risk posture, and internal audit needs
• Partner with Security/IT to ensure secure SDLC practices, access controls, secrets management, and incident response readiness
• Establish and track SLIs/SLOs for critical systems and reduce operational risk through reliability engineering
• Partner across the business
• Collaborate with Operations, Product/Platform stakeholders, and executive leadership to shape priorities and outcomes
• Translate complex engineering topics into clear business language: risk, cost, capacity, delivery tradeoffs, and impact
• Represent engineering in senior forums (exec updates, board-level readiness, and partner discussions as needed)

Qualifications

• 15+ years in software engineering, with significant experience leading teams and leaders (manager-of-managers experience preferred)
• Proven track record building and operating production software and data systems with strong reliability and quality practices
• Deep understanding of modern engineering practices: CI/CD, testing, observability, cloud infrastructure, and API/data integration patterns
• Strong judgment around sequencing, tradeoffs, and prioritization—able to balance speed with risk management
• Exceptional cross-functional communication: clear updates, decision framing, and executive-level storytelling
• High standards for security, data governance, and operational rigor appropriate for financial services

Key Responsibilities

• Engineering roadmap, architecture, and technical standards
• Delivery predictability and portfolio execution support
• Team leadership: hiring, performance, and career growth
• Production reliability, incident management, and operational excellence
• Security-by-design and engineering governance controls
• Vendor/partner technical evaluation and integration oversight
• Budgeting and capacity planning for engineering investments

Technology

Remote (United States)