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Avalara

Cloud-based tax compliance and automation platform

Head of GAI & Business Operations

Business OperationsConfirmed live in the last 24 hours
Full-timeUnited StatesNo salary listedIn-person

About the Job

Requirements

  • At least 12 years of experience in business operations, product operations, strategy and operations, revenue operations, analytics, AI transformation, product management, or operational leadership in SaaS, fintech, marketplace, compliance, tax, payments, or e-commerce environments.
  • Demonstrated experience operating at principal or senior-strategic individual-contributor level, influencing multiple functions and senior stakeholders.
  • Ability to design operating systems for high-growth businesses, including planning cadences, scorecards, decision rights, key performance indicator architecture, executive reporting, and cross-functional governance.
  • Strong applied artificial intelligence fluency, including hands-on experience using large language models, agents, automation platforms, prompt systems, workflow tools, evaluation methods, or AI-enabled analytics to improve measurable business outcomes.
  • Deep analytical capability to structure ambiguous business problems, define metrics, interrogate data quality, build dashboards or requirements, and translate insights into action.
  • Systems-thinking ability to connect customer journey, product experience, data flow, operational process, financial impact, and organizational design.
  • Ability to work through influence rather than hierarchy in matrixed environments with shared platform teams and distributed ownership.
  • Bachelor’s degree in business, analytics, computer science, engineering, or economics, or equivalent practical experience.
  • Strong judgment around responsible artificial intelligence, customer data, compliance-sensitive workflows, operational risk, and quality controls.

Responsibilities

  • 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 to make acquisition, conversion, activation, onboarding throughput, support demand, automation rate, churn, expansion, partner performance, revenue, margin, and customer effort visible.
  • Identify operational bottlenecks and translate them into automation, process, data, tooling, or organizational recommendations.
  • Define the generative AI roadmap for the business, focused on measurable business impact rather than generic AI experimentation.
  • Build and operationalize AI-enabled workflows that reduce manual work in onboarding, support, data intake, account setup, compliance handoffs, partner operations, reporting, and internal decision support.
  • Partner with Product, Engineering, Data Science, Security, Legal, Support, Tax Content, and Compliance to ensure AI-enabled workflows are accurate, governed, explainable, auditable, and scalable.
  • Develop reusable AI patterns, prompts, agents, evaluation methods, and operating controls that can be adopted across the portfolio.
  • Measure AI impact through time saved, cost avoided, quality improved, cycle time reduced, support deflection, faster onboarding, improved conversion, or increased operating leverage.
  • Define the metric architecture for the portfolio, including north-star metrics, scorecards, funnel analytics, operational health metrics, automation key performance indicators, partner-channel metrics, and financial performance views.
  • Partner with Finance, Data, Revenue Operations, Marketing Operations, Support Operations, and Product Analytics to ensure metrics are trusted, repeatable, and decision-ready.
  • Build business review materials for the VP, GM, and senior stakeholders, translating data into decisions, tradeoffs, risks, and recommended actions.
  • Establish leading indicators that identify churn risk, onboarding friction, support spikes, partner underperformance, and low-value operational work before they become escalations.
  • Map high-volume manual workflows and prioritize automation opportunities based on business value, customer impact, risk, and implementation effort.
  • Convert repeatable manual processes into structured workflows, AI-assisted tools, self-serve dashboards, templates, playbooks, and operational controls.
  • Partner with shared services and platform teams to consume existing Avalara systems where appropriate rather than creating duplicate tooling.
  • Create clear operating handoffs between business teams and central teams for billing, provisioning, filing, support, tax content, customer communications, and partner operations.
  • Build operational visibility across partner-led, embedded, marketplace, and direct-to-market motions.
  • Instrument the full customer journey from acquisition and purchase through onboarding, activation, support, retention, and expansion.
  • Partner with Product, Growth, Business Development, Sales, Support, and Operations to identify friction in the funnel and translate it into measurable execution plans.
  • Create repeatable operating patterns that help the business scale across partner ecosystems and direct digital channels.
  • Influence senior leaders and functional owners across Avalara to align on priorities, data definitions, tooling decisions, operational standards, and customer-impacting tradeoffs.
  • Create formal networks with key decision makers across Product, Engineering, Go-to-Market, Finance, Support, Data, Security, and Compliance.
  • Lead complex, cross-functional initiatives from ambiguous problem statement to shipped operating capability.
  • Serve as the VP, GM’s principal business-operations partner, helping convert strategy into execution discipline and measurable outcomes.

Desired Qualifications

  • Experience building business operations or product operations functions for a product-led growth, self-serve, embedded, marketplace, partner-led, or small and medium business-focused SaaS business.
  • Experience with tax, compliance, accounting, payments, point of sale, hospitality/lodging, e-commerce, or regulated workflow automation.
  • Experience implementing AI-enabled internal tools, operations copilots, support deflection, onboarding automation, data-ingestion automation, or executive decision-support systems.
  • Experience with business intelligence and operating data ecosystems such as Salesforce, Gainsight, Power BI, Snowflake, Looker, Tableau, Jira, Zendesk, or equivalent platforms.
  • Experience partnering with product and engineering teams to translate operational needs into scalable internal products or platform capabilities.

About the Company

Avalara

Cloud-based tax compliance and automation platform

Avalara provides cloud-based tax compliance services for businesses of all sizes. Its main product, AvaTax, automatically calculates sales tax at the point of purchase and can be connected to many business apps to make tax determinations as orders move through a company’s systems. Beyond calculation, Avalara offers returns filing and ongoing compliance management, helping customers stay up to date with changing tax laws. The company earns money through subscriptions tied to how many transactions you process and how complex your tax needs are, and it also offers consulting and training services to support customers. Compared with others, Avalara covers many industries (like e-commerce, retail, manufacturing, and software) and integrates with a wide range of platforms, aiming to provide an end-to-end, automated tax workflow. Its goal is to reduce the risk of penalties and streamline tax compliance so businesses can focus on their core operations.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Durham, NC
Founded
2004

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