Customer Experience Owner, Customer Intelligence

Avalara is scaling an AI-first operating model designed to predict customer needs, reduce systemic friction, protect Gross Revenue Retention (GRR), and lower Cost to Serve (CTS).

Customer signals now exist in volume — across Voice of Customer systems, CX360 intelligence outputs, predictive analytics, and operational data. What does not exist is a single enterprise authority that determines:

• Which signals are credible
• Which signals materially impact revenue or cost
• Which signals get funded
• How impact is verified
• Who is accountable when action stalls

Without a governed decision framework, signal volume increases but executive decisions degrades. Roadmaps fragment. Metrics drift. Friction themes compete without financial validation. Revenue risk remains unquantified.

The Customer Experience Owner, Customer Intelligence is the enterprise owner of Customer Intelligence activation.

You will define and govern the decision architecture that converts signal into funded, finance-validated action with verified impact. It establishes the standards that determine how Customer Intelligence influences executive prioritization, capital allocation, and accountability.

You will hold formal authority within the Customer Intelligence governance structure and is directly accountable for measurable movement in GRR and CTS attributable to Customer Intelligence activation.

You will not add process. It prevents enterprise revenue leakage and operational inefficiency by enforcing disciplined, data-backed decision standards.

• Ensure validated friction themes are financially quantified before making executive tradeoffs to protect revenue.
• Improve capital allocation discipline by promoting standardized prioritization criteria.
• Reduce cost-to-serve by escalating systemic drivers instead of treating symptoms.
• Increase quality in executive forums through governed signal validation and exposure modeling.

• Ensure recurring customer friction is addressed at enterprise scale.
• Reduce avoidable churn drivers by accelerating signal-to-action velocity.
• Prevent fragmented ownership that allows friction to persist across journeys.

• Eliminate conflicting KPI definitions and metric drift.
• Raise governance rigor across Product, Operations, and GTM.
• Embed AI-driven prioritization within defined confidence and audit standards.
• Increase talent density by holding the system — not just individuals — accountable to measurable outcomes.

A Bar Raiser in this role leaves the enterprise decision system stronger, clearer, and more financially disciplined than they found it.

• Define and govern the end-to-end lifecycle: signal capture → validation → financial quantification → prioritization → funding → impact verification.
• Establish signal eligibility standards and confidence thresholds before signals enter executive forums.
• Embed standardized decision criteria into roadmap and capital allocation governance.
• Eliminate fragmentation across listening systems by enforcing a single enterprise framework.

• Set the decision criteria used in executive forums reviewing customer friction themes.
• Define mandatory business case components for Customer Intelligence–driven projects.
• Present prioritized signal portfolios with quantified revenue and cost exposure.
• Align validated themes to roadmap sequencing and funding tradeoffs.

• Partner with Finance to measure revenue risk, retention exposure, and cost drivers tied to validated signals.
• Establish required impact measurement standards before initiative approval.
• Validate pre- and post-intervention financial performance.
• Hold projects accountable to defined GRR and CTS movement.

• Lead enterprise response when validated signals require action.
• Escalate stalled projects tied to approved friction themes.
• Arbitrate disputes in signal interpretation using defined governance standards.
• Enforce adherence to validation and influence measurement requirements.

• Establish governance standards for AI used in signal classification and prioritization.
• Define measurable confidence thresholds before automated escalation or prioritization impacts executive forums.
• Approve enterprise-level automation triggers affecting funding or sequencing decisions.
• Ensure AI is applied responsibly, securely, and auditable.

• Define and standardize Customer Intelligence Measurement definitions across VoC, CX360, predictive analytics, and operational systems.
• Prevent metric drift and conflicting reporting throughout the company.
• Align Customer Intelligence metrics with financial reporting standards.

• B.S. in Computer Science or Engineering.
• 8+ years of experience in enterprise program leadership, operating model design, or Customer Intelligence strategy.
• Demonstrated experience building governance frameworks adopted across multiple departments.
• Direct experience partnering with Finance to measure revenue risk, retention exposure, or cost-to-serve impact.
• Experience defining prioritization standards used in executive decision forums.
• Demonstrated applied experience governing AI-enabled decision workflows tied to measurable outcomes.
• Experience driving accountability in complex matrixed environments.
• Demonstrated history of raising execution rigor, decision quality, and measurable performance.

We are hiring a Bar Raiser — someone who elevates the quality, rigor, and financial discipline of how enterprise decisions are made. This role is expected to strengthen how Customer Intelligence translates into action by improving prioritization, accountability, and measurable business impact.

A successful candidate will:

• Raise decision-making quality by enforcing structured, finance-aligned prioritization and clear tradeoff frameworks

• Improve enterprise execution rigor by ensuring validated signals translate into funded, accountable initiatives

• Eliminate ambiguity and fragmentation in how customer friction is defined, measured, and acted upon

• Increase organizational capability by establishing repeatable governance standards for signal validation, funding, and impact measurement

• Strengthen cross-functional alignment across Product, Operations, Finance, and GTM through clear frameworks and decision ownership

• Hold the system accountable, not just individuals, ensuring outcomes are tied to measurable GRR and CTS impact

• Leave the enterprise decision system measurably stronger, improving speed, clarity, and financial discipline

Within 12 months:

• Enterprise Customer Intelligence decision framework formally adopted across Product, Operations, and GTM.
• Executive prioritization forums operating with standardized financial validation criteria.
• Documented, Finance-validated improvement in GRR and/or measurable CTS reduction attributable to Customer Intelligence–driven action.
• ≥25% reduction in signal-to-action cycle time.
• Elimination of conflicting Measurement definitions across Customer Intelligence systems.
• AI-enabled signal validation and prioritization operating within defined governance thresholds.

Beyond 12 months:

• Customer Intelligence becomes a mandatory input to roadmap and capital allocation decisions.
• Predictive signal modeling informs proactive retention and cost reduction strategies.
• The enterprise shows measurable improvement in decision speed and financial discipline tied to customer friction resolution.

AI is embedded in our workflows, decision-making, and products.  Success here requires embracing AI as an essential capability.

• You’ll bring experience using AI and AI-related technologies, ready to thrive here.

• You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.

• You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.

Total Rewards 

In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. 

Health & Wellness 
Benefits vary by location but generally include private medical, life, and disability insurance. 

Inclusive culture and diversity 
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. 

We’re defining the relationship between tax and tech.

We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world.

We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too.

Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.