Site go-live
Commissioning and operations seats have to be filled before a fixed turnover date.
Site Launch or Team BuildAI Infrastructure and Data Center Recruiting
We recruit commissioning agents, critical facilities engineers, controls engineers and GPU cluster engineers for data center and AI infrastructure employers in the United States. We also track 115 data center projects in nine markets and publish the hiring figures each month.
How we work
Project tracker
We track 115 data center projects in nine U.S. markets, from proposal to turnover, and update every one each month.
Open the data center tracker or read the state of data center hiring
Specialties
We recruit in three areas.
The infrastructure lifecycle
Who you need at each stage of a build, and what goes wrong when the hire comes late.
Roles
Late hire risk
Utility interconnect timelines slip when no one owns the power schedule.
Power and project controls recruitingRoles
Late hire risk
Local labor shortages often show up only after competing projects have hired most of the available people.
Data center recruitingRoles
Late hire risk
Commissioning talent is scarce and booked against fixed IST windows.
Commissioning recruitingRoles
Late hire risk
Operations seats open too late, so the candidates left are holding other offers and pay has moved.
Critical facilities recruitingRoles
Late hire risk
GPU fabric and cluster networking are a different talent pool from enterprise networking. Sourcing them the same way returns people who have not run a cluster at scale.
GPU and HPC recruitingRoles
Late hire risk
An SRE, an MLOps engineer and a forward-deployed engineer come from different companies, so each search starts from its own target list.
Platform, SRE and observability recruitingUtility interconnect timelines slip when no one owns the power schedule.
Power and project controls recruitingLocal labor shortages often show up only after competing projects have hired most of the available people.
Data center recruitingCommissioning talent is scarce and booked against fixed IST windows.
Commissioning recruitingOperations seats open too late, so the candidates left are holding other offers and pay has moved.
Critical facilities recruitingGPU fabric and cluster networking are a different talent pool from enterprise networking. Sourcing them the same way returns people who have not run a cluster at scale.
GPU and HPC recruitingAn SRE, an MLOps engineer and a forward-deployed engineer come from different companies, so each search starts from its own target list.
Platform, SRE and observability recruitingOne job description often describes three different people.
A req that wants mechanical, electrical and controls commissioning experience in one person usually sits open. Those are three separate groups of candidates. On the compute side, the same goes for platform, reliability and model serving.
Triggers
Most clients call us in one of these situations. A hiring diagnostic call sorts out whether you need a search, a market map or a change to the role.
Commissioning and operations seats have to be filled before a fixed turnover date.
Site Launch or Team BuildYour talent team is strong on volume roles but has no map of commissioning agents, controls engineers or GPU platform talent.
Embedded Search SprintNew funding or a signed customer means new headcount. We write the role definitions and map the talent before anything is posted.
Talent Intelligence SprintBefore more sourcing, we find out what is stopping candidates: the scope, the pay band, the location or a slow interview loop.
Search Recovery SprintA new leader inherits open roles and pay bands set before they arrived. We check both against the current market before the search starts.
Selective Executive SearchDeployment, solutions and support coverage has to exist before the first customer milestone, without adding a permanent talent function yet.
Fractional Talent PartnerEngagements
Each engagement lists what you get, how long it runs and what it costs. We commit to the deliverables listed. We don't guarantee hires.
When it fits: You need to know whether the role is fillable, at what compensation and in which market, before committing to a search.
When it fits: A critical role has been reposted or open for more than 60 days and nobody can say exactly why.
When it fits: You have a defined set of hard roles and want a dedicated recruiter operating inside your process.
When it fits: You need recruiting leadership, process and compensation intelligence without adding a full-time talent hire.
When it fits: A new site, region or platform team has to be staffed against a milestone schedule.
When it fits: A leadership seat carries the plan: head of infrastructure, head of platform, director of critical facilities or VP of engineering.
Method
Every search follows the same six steps, and you get a written output at each one. At the end we hand over all the research and the full candidate pipeline.
A written role brief, a scorecard agreed with the hiring manager, and a check of scope, pay and location against the candidate market before outreach starts.
A named list of target companies across AI infrastructure firms, operators, EPCs and OEMs, built with AI tools and checked against people we already know.
Direct outreach from Czarina, with a weekly report on how many people were contacted, who replied and why people passed.
Screens against the scorecard, a written case for each candidate including the risks, and their pay expectations on the record.
Offer planning, a read on counteroffer risk, and help with the resignation and any relocation through the start date.
Your team keeps the pipeline, research files, messaging and comp data. The work stays with you when the engagement ends.
The full explanation of each step lives on the embedded recruiting for infrastructure teams page.
Reporting
You get a written report every week with these sections.
Example weekly search report
Example weekly search-report structure. No client or candidate information shown.
| Report field | What it records each week |
|---|---|
| Target companies | Named organizations in scope this week and why each one is on the list. |
| Profiles | People profiled against the scorecard, by discipline and market. |
| Outreach status | Contacted, in conversation, declined, or holding for a later stage. |
| Response themes | What candidates say about the role and the team. |
| Compensation feedback | What candidates say they need, against your approved band. |
| Location constraints | Onsite cadence, commute limits and relocation appetite by candidate group. |
| Qualified conversations | Screens completed against the scorecard, with written assessment notes. |
| Interview status | Stage position for each active candidate and where the process is waiting. |
| Market objections | The reasons candidates give for passing, grouped so they can be acted on. |
| Role-definition risks | Scope, level or requirement combinations that no candidate matches. |
| Recommended changes | The specific adjustment to scope, band, geography or process we advise. |
| Next actions | What we will do next week and what we need from your team to do it. |
Deliverables
Founder
Czarina Tabayoyong, founder of Critical Path Hiring.
Czarina Tabayoyong has recruited for more than 15 years across software engineering, cloud infrastructure, platform, AI and ML, data center architecture and project delivery, including cloud and data center architecture roles for AWS Professional Services, recruiting at Amazon and Google, and recruiting programs for hyperscale data center projects. She writes the brief, maps the market, runs the outreach, screens every candidate and handles the offer herself.
Separates platform engineering from MLOps, SRE from ML infrastructure, and GPU systems from general cloud engineering.
Finds candidates at hyperscalers, cloud platforms, operators, EPCs, OEMs and integrators, and in nearby fields such as utilities, semiconductor and industrial automation.
We use AI tools to build target lists and organize research. Czarina screens every candidate and makes every recommendation herself.
About Critical Path Hiring
Background and how we work.
Who we serve
AI infrastructure companies, GPU cloud platforms, operators, EPCs and vendors.
How we use AI in screening
Which steps AI tools do, which steps Czarina does, and how candidates are reviewed.
Insights
Studies and trackers on data center hiring, pay and projects.
New guide
How data centers get built, what every role does, what the work pays and where it's happening, plus a 56-term glossary.
A short call about the role, the candidate market and pay. We'll tell you what we would do, including when the answer isn't a search.