V

Vertiv

Builds power and cooling systems for data centers

Field Service Technician

Full-TimeUpdated on 10/20/2026
$58.9k - $73.7k/yr+ Annual bonus + Stock + Profit sharing + Allowances + Travel/car expenses + Sales incentives
Entry, Junior
Richmond, VA, USA
In Person
Field ServiceEquipment Field Service
No H1B Sponsorship

About the job

Requirements
  • High school or vocational school diploma.
  • Two to four years of military experience in a related technical field, or zero to two years of relevant industry experience.
  • Communicate professionally and respectfully in written and verbal forms.
  • Manage time effectively by prioritizing and balancing technical tasks with administrative tasks.
  • Collaborate with peers, customers, suppliers, and leadership.
  • Complete administrative tasks such as report writing, time entry, expense reporting, material debriefing, and inventory counting in a timely manner.
  • Perform basic site evaluations, including assessing environmental temperature and general operating conditions.
  • Demonstrate familiarity with electrical/electronic test equipment and fundamentals.
  • Follow written technical documentation, including procedures and product manuals, to perform service tasks.
  • Employ elementary repair techniques under directed supervision.
  • Complete service tasks and return units to full operating conditions under directed supervision.
  • Summarize and report work performed in written and verbal form.
  • Use a personal computer and associated applications, including Microsoft Office and Vertiv software.
  • Hold a valid driver's license.
  • Pass a pre-employment drug test, background check, and motor vehicle records check.
  • Consistently lift up to 50 pounds and occasionally up to 75 pounds.
  • Meet the physical requirements of the role, including standing, walking, handling tools or components, reaching, bending, kneeling, crouching, crawling, talking, hearing, smelling, sitting, and climbing or balancing; have the required close, distant, color, peripheral, and depth vision and ability to adjust focus.
Responsibilities
  • Perform assigned service tasks in accordance with company policies and procedures.
  • Work under direct supervision or independently based on completed training.
  • Provide on-site and phone assistance to customers.
  • Communicate with Technical Support about technical or procedural issues.
  • Implement Field Change Notices according to published guidelines.
  • Keep current on Safety Bulletins, Safety Field Change Notices, Field Change Notices, and Service Tips.
  • Operate safely in accordance with published safety guidelines.
  • Maintain and operate the company vehicle in accordance with local laws and company policy.
  • Wear appropriate personal protective equipment according to company guidelines and job duties.
  • Adhere to the work-hours policy, including the 14-hour rule.
  • Report work-related accidents or injuries to the appropriate personnel within 24 hours.
  • Complete accurate and timely administrative tasks, including time cards, expense reports, mileage reports, Service Request task closures, and service reports.
  • Maintain individual inventory and perform cycle counts in accordance with company policy.
  • Maintain company property, including the company vehicle, credit cards, personal protective equipment, test equipment, and laptop.
  • Provide appropriate communication to internal and external customers.
  • Provide estimated arrival times to customers where applicable.
  • Complete scheduled maintenance documentation and provide it to the customer and local office after each assignment.
  • Strive to resolve equipment issues on the first visit.
  • Maintain customer satisfaction rates in accordance with company guidelines.
  • Attend customer meetings as required.
  • Maximize productivity by combining service opportunities.
  • Complete technical and administrative work efficiently and on time.
  • Make technical and commercial decisions under pressure.
  • Evaluate sites and equipment to determine appropriate billing status.
  • Maintain productive utilization rates in accordance with company guidelines.
  • Adhere to the company dress code and safety regulations.
  • Meet on-site response-time requirements for each customer.
  • Follow company startup and escalation processes and procedures.
  • Maintain adequate internal communications.
  • Travel as required and work flexible schedules that may include weekends, evenings, and holidays.
Desired Qualifications
  • ASEET or AMEET qualification, or progress toward either qualification.

About the company

V

Vertiv

View
Website

Vertiv builds power and cooling equipment that keeps data centers, communication networks, and industrial facilities running through outages and heavy computing loads. Its Liebert cooling systems manage the heat generated by servers, while its power products protect equipment and distribute electricity. The company sells equipment directly and through distributors, then earns additional revenue from installation, maintenance, spare parts, and services throughout the equipment life cycle. Its portfolio also includes racks and software for monitoring and managing IT equipment. Vertiv became a standalone company in 2016 and is headquartered in Westerville, Ohio.

Company Size

10,001+

Company Stage

IPO

Headquarters

Westerville, Ohio

Founded

2016

Get referred to Vertiv

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Sales growth supports expansion: Vertiv reported 24% higher quarterly revenue in July 2026.
  • Ohio career opportunities are planned: Vertiv announced hundreds of additional jobs through 2029 in March 2026.
  • Career planning has a formal structure: Vertiv lists its Career Framework in the employee rewards package.

What critics are saying

  • Large deployments strain delivery: Vertiv reported supply-chain congestion and project timing shifts in July 2026.
  • Booked demand carries cancellation risk: Vertiv's $15 billion December 2025 backlog allows customers to defer or reduce commitments.
  • Job security faces cost targets: Vertiv's ongoing restructuring program includes workforce reductions across all segments.

What makes Vertiv unique

  • Cooling expertise predates the AI boom: Liebert pioneered precision computer room air conditioning in 1965.
  • Modular sites support varied power standards: Vertiv SmartMod integrates factory-tested enclosures with 12V, 48V, or 400V DC.
  • Field support has global scale: Vertiv reports approximately 5,000 service engineers and 320 service centers.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Health Insurance
  • Paid Vacation
  • Paid Sick Leave
  • 401(k) Retirement Plan
  • Flexible Work Hours
  • Remote Work Options
  • Hybrid Work Options
  • Wellness Program

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
PR Newswire
Oct 21st, 2026
Vertiv and NVIDIA target 30% more AI token output in year one; Polar deploys 41MW Norway site

Vertiv and NVIDIA have introduced an AI factory approach that pairs pre-engineered reference designs with factory-built infrastructure. Announced at NVIDIA GTC Berlin, it aims to bring AI capacity online sooner. In modelled scenarios, it yields up to 30% more cumulative token output in the first 12 months at the same installed capacity. The modelled approach cuts configuration and validation from about 30 days to three, and deployment from about 90 days to 45. Together, that trims these stages from roughly 120 days to 48, making capacity available about 10 weeks sooner. Polar Data Centers is using the factory-built model for the first 41 MW phase of its AI data center at Herøya, Norway, which is scalable to 100 MW.

Yahoo Finance
Oct 17th, 2026
Arista's 45.4% operating margin dwarfs Vertiv's 19.5%, but Vertiv trades at a lower cash-flow multiple

Arista Networks and Vertiv Holdings both gain as AI data centres come online, but Arista keeps far more of each sales dollar as profit. Arista supplies data-centre networking; Vertiv supplies power and cooling. Arista's second-quarter revenue was $3.036 billion, up 37.7%, with a 45.4% GAAP operating margin. Vertiv reported $3.274 billion in sales, up 24% (18% organic), with a 19.5% GAAP operating margin. A five-point margin drop at constant revenue would cut Arista's operating profit 11.0% and Vertiv's 25.6%. Arista's cushion costs more. Trailing cash-flow multiples were about 45 for Arista and 28 for Vertiv. Vertiv's adjusted free cash flow reached $925 million, helped by favourable working-capital timing.

Insider Monkey
Oct 17th, 2026
Arista vs. Vertiv: which AI Infrastructure business has the bigger profit cushion?

Arista vs. Vertiv: which AI Infrastructure business has the bigger profit cushion? Published October 17, 2026 at 6:11 pm EDT Arista and Vertiv rank tenth and ninth in our 10 Best AI Infrastructure Stocks to Buy for the Long Term. The list shows which eight infrastructure businesses attracted more hedge-fund holders. Both benefit when AI campuses become operational, but their profit cushions differ sharply. Arista Networks, Inc. (NYSE:ANET) supplies data-center networking; Vertiv Holdings Co (NYSE:VRT) supplies power and cooling. They are alternatives for an infrastructure allocation, with different products and economics. High margins change the cost of disappointment. Arista's August 4 results showed second-quarter revenue of $3.036 billion, up 37.7%, and a 45.4% GAAP operating margin. Vertiv's July 29 release reported $3.274 billion of sales, up 24%, and a 19.5% GAAP operating margin. Vertiv's organic growth was 18%; acquisitions and currency contributed the rest. Subtract five percentage points from each margin while holding revenue constant. Arista's operating profit falls 11.0%; Vertiv's falls 25.6%. This isolates sensitivity to margin compression. It does not assume that networking and thermal equipment face identical shocks: customer pricing, manufacturing costs and project timing can affect them differently. Arista's software-supported networking model currently retains more operating profit per sales dollar. That cushion can help absorb investment and price pressure, but large-customer concentration makes order timing important. Our Cisco comparison asks how much of Arista's stronger economics investors are already paying for. Cooling growth has to become recurring cash. Vertiv's lower margin also gives it room to improve as volume rises and operations become more efficient. Greater computing density increases cooling and power requirements. Its risk is that customers delay campuses or expansion costs arrive before revenue. Q2 adjusted free cash flow reached $925 million, with favorable working-capital timing helping the result; extrapolating that quarter would overstate certainty. October 15 trailing cash-flow multiples were about 45 for Arista and 28 for Vertiv. Arista's larger margin cushion therefore comes with a higher cash-flow price. That premium needs durable growth and collections, while Vertiv must preserve cash generation after investment. These current multiples do not establish comparable future shareholder returns. Insider Monkey counted 91 Arista holders in Q2 2026, up from 85, and 112 Vertiv holders, up from 96. Arrowstreet cut Arista shares 10%, while AQR increased Vertiv shares 1%. September 30 short interest was 0.97% of float for Arista; Vertiv had 14.38 million shares sold short. Those snapshots cannot explain later trading moves. Arista has the larger demonstrated margin buffer. Vertiv's operating upside depends more heavily on improving execution as demand expands. The choice turns on whether Arista sustains its economics or Vertiv closes part of the profit gap while converting growth into cash. Today's margin difference answers the resilience question, not which stock will deliver the higher return.

Mindanao Times
Oct 15th, 2026
Vertiv helps enterprises move from AI pilots to production.

Vertiv helps enterprises move from AI pilots to production. VERTIV Holdings Co. (NYSE: VRT), a global leader in critical digital infrastructure, and Deloitte Center for Integrated Research introduced a collaboration to help enterprises address a critical challenge in moving artificial intelligence from experimentation to production: determining where AI workloads should run and whether the available physical infrastructure can support them. The new Vertiv Designing Infrastructure for Enterprise AI Guide, developed by Vertiv and STL Partners, a digital infrastructure research firm, provides business, IT and facilities leaders with a workload-based framework for making those decisions before committing to an infrastructure plan. Starting with the intended business outcome and AI workload, organizations can evaluate deployment location, infrastructure requirements and facility readiness, then align each workload with an appropriate physical infrastructure model and reference design for further planning and technical validation. The underlying research highlights a critical consideration as enterprises move AI workloads into sustained production: infrastructure readiness can determine where workloads can be deployed and how quickly they can move into production. Available power, cooling, connectivity and operational capacity can determine whether a workload can be supported in an existing facility or requires a different deployment model. The guide translates these considerations into a four-step process: (1) define the intended business outcome and AI workload, (2) evaluate the workload's scale, performance and operating requirements, (3) determine the most appropriate deployment location and (4) match the workload and location to a physical infrastructure model and reference design. "The next phase of enterprise AI will be shaped not only by models and computing, but also by whether organizations can provide the power, cooling, connectivity and operating environment each workload requires," said Giordano Albertazzi, CEO of Vertiv. "By starting with the workload, enterprises can make infrastructure decisions earlier, identify constraints sooner and build a more credible path from AI ambition to production." "The economics and operating requirements of AI change as workloads move into production," said Nicholas Merizzi, principal, Silicon2Service U.S. Lead, Deloitte Consulting LLP. "Organizations need to consider business value, governance, operating ownership and infrastructure together. Bringing those questions into the planning process earlier gives leaders a stronger basis for deciding where AI workloads should run and how they should be supported over time." The process recognizes that enterprise AI is a portfolio of workloads rather than a single infrastructure decision. Exploratory workloads may remain in the cloud, while sustained or business-critical workloads may favor hybrid infrastructure or capacity managed by the enterprise. Workloads requiring faster response times, greater control, data proximity or specific model performance may need to run at the edge or in another controlled environment. The workload-specific approach allows public cloud, colocation, enterprise-owned capacity, hybrid environments and edge infrastructure to each play a role. Rather than advocating broadly for or against the cloud, the guide provides a consistent method for determining the appropriate operating environment for each AI workload. The research categorizes enterprise AI workloads into six archetypes covering model development, retraining and four categories of production use. These archetypes help organizations identify workloads with similar performance, operating and infrastructure requirements, creating a more consistent basis for planning. Each workload can then be aligned with one of four physical infrastructure models: Edge AI Cluster, Small AI Cluster, Large AI Cluster and High-Density AI Cluster. The four models provide a starting point for decisions involving power, cooling, controls, connectivity, resilience, operational support and future growth. Corresponding reference designs can then be adapted based on site assessment, workload requirements and detailed engineering. Facility readiness is critical across all four models. The guide helps enterprises evaluate whether a proposed location has sufficient power, cooling, connectivity, operational capacity and room for growth. Conducting this assessment early can help identify infrastructure constraints before they become barriers to deployment. The full guide, Designing Infrastructure for Enterprise AI, details the six workload archetypes, four physical infrastructure models and a four-phase roadmap for planning, deploying and evolving enterprise AI infrastructure. It is available at Vertiv.com.ant challenges facing today's data centers, communication networks and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv does business in more than 130 countries. For more information, and for the latest news and content from Vertiv, visit Vertiv.com. Forward-looking statements This release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, Section 27 of the Securities Act, and Section 21E of the Securities Exchange Act. These statements are only a prediction. Actual events or results may differ materially from those in the forward-looking statements set forth herein. Readers are referred to Vertiv's filings with the Securities and Exchange Commission, including its most recent Annual Report on Form 10-K and any subsequent Quarterly Reports on Form 10-Q for a discussion of these and other important risk factors concerning Vertiv and its operations. Vertiv is under no obligation to, and expressly disclaims any obligation to, update or alter its forward-looking statements, whether as a result of new information, future events or otherwise. For media inquiries, please contact: Ruder Finn for Vertiv E: [email protected]

Yahoo Finance
Oct 15th, 2026
Vertiv needs $3.75B Q3 sales, up 40%, to justify its 52.7x earnings valuation

Vertiv (VRT) has forecast third-quarter 2026 sales of $3.75 billion at the midpoint, up 40% from a year earlier. The quarter has ended, but the company has not yet reported results. The forecast marks a sharp acceleration from 24% growth in the second quarter, when large-project delays pushed some sales out. Executives cite faster project progress, new capacity in Johor, Malaysia, and five plant expansions in the Americas, plus strong backlog coverage. Vertiv also raised its 2026 sales forecast by $250 million, to a $14 billion midpoint. Its stock trades at 52.7 times earnings, against 22.5 for the S&P 500, and has fallen 22% in three months. The key question is whether Vertiv can deliver its large projects on time.