Head of GAI & Business Operations, Avalara Micro and Emerging Business

What You'll Do

About the role

Avalara is looking for a Principal-level Head of Generative AI & Business Operations to help scale Avalara’s Micro and Emerging Business portfolio, with a focus on DAVO, MyLodge, and future product-led growth opportunities for small and emerging businesses.

This is a senior individual-contributor role for an operator, systems thinker, and AI-first builder who can turn fragmented data, manual processes, and disconnected workflows into a measurable growth and efficiency engine. The role will own the business operations architecture for the portfolio, including operating rhythms, performance instrumentation, data models, workflow automation, AI-enabled internal tools, and cross-functional execution systems.

The right candidate will not simply report on the business. They will design how the business runs. They will build the mechanisms that help Product, Growth, Operations, Support, Engineering, Finance, and Go-to-Market teams make faster decisions, reduce manual work, improve customer outcomes, and scale without adding unnecessary organizational complexity.

Why this role exists now

Avalara is expanding its product-led, partner-led, and direct-to-market motions for micro and emerging businesses. These customers need simple buying paths, fast onboarding, low-friction support, clear product journeys, and efficient fulfillment. That model only works if the business has a purpose-built operating layer: clean data, clear ownership, reliable instrumentation, automated workflows, and a single view of performance.

This role exists to establish that operating layer. The Head of Generative AI & Business Operations will build the systems, metrics, and AI-enabled workflows that allow the business to move with startup velocity while still leveraging Avalara’s trusted platform, compliance, finance, security, and customer-success capabilities.

What Your Responsibilities Will Be

Build the operating system for the business

• Define and run the business operating cadence across weekly performance reviews, roadmap reviews, experiment reviews, launch readiness, partner readiness, support health, and executive updates.

• Establish a single operating model for goals, ownership, decision rights, intake, prioritization, escalation, and follow-through across Product, Growth, Operations, Engineering, Support, Finance, Legal, and Go-to-Market.

• Create dashboards and decision surfaces that make the business visible: acquisition, conversion, activation, onboarding throughput, support demand, automation rate, churn, expansion, partner performance, revenue, margin, and customer effort.

• Identify operational bottlenecks and translate them into automation, process, data, tooling, or organizational recommendations.