Product Owner, AI & Demand Generation at Avalara
$126,000–$201,600
Aug 18, 2026
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Aug 20, 2026
What this job asks for AI summary
This individual-contributor role owns the AI and agentic automation strategy for Avalara's marketing-to-pipeline process, sitting within IT and partnering with Sales, Marketing, and RevOps. Day-to-day work involves hands-on configuration of AI platforms, prompt engineering, workflow design, and integration across the marketing and sales technology stack. The ideal candidate combines deep technical product or marketing-automation experience with proven, applied AI implementation skills.
Senior level · 10+ years · Remote · Full-time
Pay in the description: $126,000–$244,000
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 2,100 people nationally plausibly meet what this posting asks for (computer occupations, all other). range 430–3,100
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $119,144 (middle half $81,115–$160,963). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 20, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role is a genuine hybrid between technical product management, marketing automation architecture, and applied AI — it doesn't map cleanly to a single SOC. 15-1299 (Computer Occupations, All Other) is used as the best fit; 15-1211 (Computer Systems Analysts) is the closest runner-up given the systems-integration and process-improvement emphasis.
Compensation ranges vary by state: Colorado $126,000–$201,600; Washington $126,000–$222,800; California $126,000–$244,000; NYC $139,200–$244,000. The widest range ($126,000–$244,000) is reported here.
The CBSA and state fields reflect Washington state, one of the explicitly listed pay-range states; the role is fully remote so no single metro is authoritative.
The degree requirement lists a B.S. in Computer Science, Engineering, Marketing, or a related field 'or equivalent experience,' so the degree requirement is set to None.
CDPs (Customer Data Platforms) appear only in the responsibilities narrative describing the existing stack, not in the requirements section, so they are marked preferred.
'Prompt engineering' is extracted as a named skill because the JD explicitly calls it out as a hands-on responsibility; it is treated as a hard gate given its placement in the requirements context.
The 5+ years figure applies to AI/agentic tools specifically; the 10+ years figure is a role-level experience gate and is captured in total years of experience.
Read the full posting
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