Vice President of Engineering - Nashville, TN (Preferred) Remote (US)

Wealth Access is a leading banking-integrated wealth platform that helps banks and wealth management firms deliver unified, intelligent client experiences. The Vice President of Engineering will lead engineering execution across application platforms, data pipelines, and AI-enabled product initiatives, focusing on building and scaling the engineering organization while ensuring high-quality delivery.

Responsibilities:

• Own engineering execution across backend, frontend, data pipeline, platform, and reliability workstreams — setting commitments, managing dependencies, and ensuring predictable, high-quality releases
• Partner with Product, Program Management, and engineering leaders to manage trade-offs, sequencing, and client-facing delivery timelines
• Establish delivery cadence metrics — velocity, cycle time, release frequency — and use them to continuously improve throughput and accountability
• Serve as the primary execution leader for engineering, ensuring risks are surfaced early and teams stay aligned on priorities
• Directly manage engineering managers, team leads, staff engineers, and senior technical leaders across the organization
• Strengthen the management layer through coaching, performance management, and clear expectations for leadership effectiveness
• Lead hiring and org design as the company grows — adding management depth where it creates leverage without creating bureaucracy
• Foster a culture of ownership, urgency, quality, and continuous improvement where engineers take pride in what they ship
• Partner with the CTO on technical strategy, modernization priorities, and architectural execution
• Bring enough technical depth to evaluate plans, challenge weak assumptions, and guide teams toward sound decisions
• Reinforce strong engineering practices across code review, testing, CI/CD, release readiness, and technical debt management
• Champion the adoption of AI-assisted development practices across engineering — evaluating tools, setting guardrails for AI-generated code in a regulated environment, and coaching engineers on effective, responsible use
• Measure productivity impact from AI tooling and drive continuous improvement in how teams leverage these capabilities
• Partner with the CTO to ensure the engineering organization is equipped to support AI-enabled product development as that area expands
• Represent engineering in executive planning and client-facing conversations where engineering commitments are business commitments
• Partner with Client Success, Implementations, and Product to align engineering capacity with delivery realities and business priorities

Requirements:

• 8+ years of software engineering experience, including meaningful experience leading engineering teams through managers in a B2B SaaS environment
• Comfortable operating in ambiguity and building systems where none exist yet — you've scaled a team through a growth inflection, not inherited a mature org
• Proven success leading multi-team engineering execution across multiple concurrent workstreams, with a track record of improving delivery predictability and scaling organizations through growth
• Deep technical proficiency across our core stack — .NET/C#, Python, SQL Server, AWS, and React. You've built and scaled production systems on this stack, can review code across the full stack, and can challenge technical decisions with credibility
• Demonstrated experience with AI-assisted software development tools and practices — you've used tools like GitHub Copilot, Claude, or Cursor to ship software and can coach a team on effective, responsible adoption
• Strong people leadership skills — hiring, coaching, performance management, and developing engineers into technical leaders
• Clear communicator who translates engineering complexity into concrete plans, risks, and decisions for non-technical stakeholders
• Experience with enterprise B2B SaaS platforms involving data integration, ETL/ELT pipelines, or complex system interoperability
• Experience in financial services, fintech, wealthtech, banking technology, or another regulated industry
• Familiarity with AI-enabled product development, including LLM-powered features, RAG architectures, or vector search in production environments
• Nashville-based or willing to relocate is preferred — right person matters more than zip code, but all things equal we'll take the Nashville candidate every time