Greenwood Village, CO

Salary
$250,000–$300,000from the description
Posted
Jul 27, 2026
Location
Greenwood Village, CO
Last confirmed open
Jul 29, 2026

What this job asks for AI summary

This is a Chief Technology Officer role at a growing energy market intelligence company, responsible for owning the full technology strategy, platform architecture, engineering execution, and data platform. The CTO will lead engineering and data teams to scale a proprietary B2B SaaS analytics platform (Energy Data Studio), modernize data workflows, and introduce pragmatic AI/ML capabilities. The role requires close collaboration with product, research, and commercial teams and direct engagement with enterprise customers.

Principal level · 10+ years · Denver-Aurora-Lakewood, CO · Full-time

Long application — this platform typically asks you to create an account and re-enter your work history.

Must have (4)
data pipelinesAPIsanalytics platformsB2B SaaS
Nice to have (6)
AI/MLtime-series dataBI/visualizationentity resolutionmodel versioninggeospatial data

Posted 2 times — it's one opening, so apply once.

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 55 people in the Denver-Aurora-Lakewood, CO area plausibly meet what this posting asks for (computer and information systems managers). range 15–80

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

What the occupation pays Median $207,812 (middle half $171,102–$235,487). 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 29, 2026. It is a model, not a headcount.

Why we read it this way (7)

The skills listed under 'The Profile We're Looking For' are framed as experience descriptors rather than named technologies; only concrete, named technical capabilities (data pipelines, cloud architecture, APIs, etc.) have been extracted. Generic concepts like 'delivery discipline' and 'architecture modernization' were omitted per extraction rules.

Skills such as time-series data, entity resolution, model versioning, BI/visualization, and geospatial data appear under the 'Experience That Would Stand Out' section, which is explicitly a secondary/preferred block — not a hard gate.

AI/ML is discussed extensively as a strategic priority but is framed as pragmatic and forward-looking rather than a current hard requirement; treated as preferred.

Energy industry experience is explicitly stated as 'valuable but not mandatory,' confirming it is not a hard gate and was omitted from the skills list.

The compensation package also includes a performance incentive of 20–30% of base salary, which is not captured in the comp fields (base salary range only is represented).

The role is in-person at Greenwood Village, CO (Denver metro); remote work is not offered.

Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): cloud architecture, data governance.

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