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Avalara

Cloud-based tax compliance and automation platform

Lead Product Manager - Agentic Experiences

Product ManagementPosted on Nov 13
Full-timeUnited StatesNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of Product Management experience, including at least 4 years dedicated to Product-Led Growth, rapid growth experimentation, self-serve SaaS funnels, or conversion optimization.
  • A proven record of architecting, launching, and scaling high-velocity A/B and multivariate testing programs that delivered measurable annual recurring revenue growth, user activation, or retention gains.
  • Direct experience designing or optimizing AI customer experiences, conversational user experience, large language model-powered copilots, or autonomous agentic workflows.
  • Strong fluency with quantitative analysis and growth tools such as Amplitude, Mixpanel, Pendo, Heap, Optimizely, LaunchDarkly, Statsig, or SQL.
  • Deep understanding of user motivation, behavioral psychology, and trust-building in automated or AI-assisted decision-making systems.
  • Experience aligning product, engineering, data science, and commercial teams through cross-functional leadership and executive communication.
  • Experience using AI and AI-related technologies to address business challenges and improve efficiency, solutions, and results.

Responsibilities

  • Own the Product-Led Growth vision and experimentation roadmap for Aviator, driving user activation, time-to-first-value, retention, and self-serve expansion.
  • Make Aviator a primary growth flywheel for Avalara by designing in-agent growth loops that guide customers toward deeper automation and multi-product capabilities.
  • Lead a high-cadence experimentation program testing conversational user experience patterns, agent prompts, proactive contextual triggers, dynamic user-interface elements, and onboarding flows.
  • Partner with Data Science, AI Labs, UX Research, Product Analytics, Product Marketing, and Core Product Management teams to scale growth flywheels across customer touchpoints.
  • Establish and run a continuous, sprint-based experimentation cadence, deploying high-velocity multivariate and A/B tests across acquisition, activation, retention, referral, and revenue.
  • Apply behavioral psychology, conversion rate optimization, and user-friction reduction to test in-app messaging, interactive onboarding tours, contextual tooltips, and dynamic defaults.
  • Continuously test and refine conversational touchpoints, including agent prompt variations, response structures, tone, dynamic cards, and proactive notification triggers.
  • Design self-reinforcing in-agent growth loops that guide users from initial conversational queries to delegation of complex, multi-product autonomous workflows.
  • Optimize the AI customer journey to build trust and reduce cognitive friction, calibrating human-in-the-loop verification checkpoints to balance user control and automated efficiency.
  • Use real-time contextual triggers, such as filing deadlines, transaction-volume spikes, and nexus-threshold updates, to surface next-best-action recommendations.
  • Architect self-serve upgrade pathways and contextual cross-sell mechanisms for Avalara products, including AvaTax, Managed Returns, Exemption Certificate Management, and Tax Registrations, within agent workflows.
  • Build repeatable frameworks that convert low-tier or exploratory conversational engagement into qualified trials, automated tier upgrades, and multi-product expansion.
  • Partner with Product Marketing and domain teams to make newly released domain agents and tools discoverable and monetizable.
  • Instrument and monitor Product-Led Growth and AI customer-experience metrics, including experimentation velocity and win rate, conversational task completion rate, time-to-first-value, agent trust and customer satisfaction, cohort retention, and expansion annual recurring revenue.
  • Partner with Data Science and Product Analytics to evaluate model output quality, conversation drop-off funnels, and prompt effectiveness.
  • Prioritize the roadmap using validated statistical data, lead weekly experimentation readouts, and share reusable testing frameworks across Avalara product teams.
  • Apply AI to business challenges and share learnings about new trends and best practices.

Desired Qualifications

  • Experience with complex B2B SaaS platforms, FinTech, tax, compliance, or enterprise ERP integrations.
  • Technical familiarity with large language model agent frameworks, prompt evaluation benchmarks, and retrieval-augmented generation paradigms.
  • Experience scaling Product-Led Growth strategies within a hybrid product-led and enterprise sales-led SaaS organization.

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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