remote

Salary
$196,000–$247,940from the description
Posted
Jul 13, 2026
Location
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A director-level, player-coach role focused on building and owning the unified data and semantic layer that connects Sales, Marketing, Customer Success, and Finance data for a revenue operations organization. The position involves leading a small technical team to design data models, pipelines, and analytics products, while also defining and executing an AI transformation strategy for go-to-market functions. It suits a deeply hands-on data or analytics engineering leader with experience driving AI adoption in revenue or GTM contexts.

Senior level · 10+ years · Remote · Full-time

Advertised as Principal, but the requirements read as Senior.

Must have (4)
SQLdbtETL/ELTdata modeling
Nice to have (6)
Snowflake or BigQueryLooker or TableauPythonSalesforceClayLLMs

“or” means any one of them counts — you don't need all of them.

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 1,400 people nationally plausibly meet what this posting asks for (database architects). range 600–2,150

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What won't set you apart
SQL90%data modeling72%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $142,568 (middle half $111,775–$173,013). 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 Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (6)

The caller has directed that this be treated as fully remote with no metro inferred, overriding the posting's stated NYC preference.

SOC classification is a genuine judgment call: the role's primary day-to-day work spans data/analytics engineering (semantic layer, pipelines, data models — 15-1243) and revenue/GTM analytics and BI (dashboards, forecasting, reporting — 15-2031). 15-1243 was chosen because architecting and owning the unified data layer and pipelines is described as the core deliverable, but 15-2031 is a credible runner-up given the heavy analytics and decision-support emphasis.

Advertised seniority is Director, which maps closest to Principal in the band schema; however, the actual scope — leading a small team, hands-on player-coach, no indication of org-wide or company-wide technical authority — supports Senior as the requirement-backed level.

Snowflake/BigQuery, Looker/Tableau, Salesforce, Clay, Python, and LLMs all appear under the 'Nice to have' section and are marked preferred accordingly.

No formal degree requirement is stated anywhere in the posting.

Caller marked this a fully-remote role — scored against the national candidate pool.

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