Dive Brief:
- Google Cloud CEO Thomas Kurian put out a call for engineers to populate an AI-focused unit inside the hyperscaler’s go-to-market team. “If you are a builder who wants to work on the world’s largest stages and be at the center of the agentic era — join us,” Kurian said Tuesday on LinkedIn.
- The company cast a wide net for forward-deployed engineering talent as unemployment among tech professionals dipped, listing 59 distinct roles in the U.S. and locations abroad, including London, Paris and Hong Kong. In the New York and Atlanta areas, the company opened a dozen applied AI forward-deployed engineering positions with a base salary of $127,000 to $183,000.
- “This strategic expansion allows us to provide elite, hands-on Google engineers that move enterprises beyond experimentation into full-scale AI operations,” the company told Channel Dive via email. “Our recent $750 million commitment to our partner ecosystem further ensures this high-touch engineering model scales globally to meet unprecedented customer demand.”
Dive Insight:
The topsy-turvy tech talent market broadcast mixed signals as AI snipped away at jobs in some areas while driving demand elsewhere. In the wake of more than 1,100 Cloudflare layoffs that paralleled a 600% spike in AI usage by employees, Big Tech is bulking up on field-ready AI deployment experts.
“We are investing in hiring additional forward-deployed engineers to help us scale customer AI transformation,” Kurian said in his post. “While having FDEs is not new for Google Cloud, the demand from customers and partners for Google enterprise AI products and Google engineers to help them embrace agent development is growing very rapidly.”
The engineering push makes good on promises made last month during the annual Google Cloud Next conference. In addition to funding a partner-facing initiative to drive AI adoption, the company said it would provide several of its largest system integration partners with engineering support.
The FDE approach was popularized by Palantir as a means of helping customers scale AI initiatives rapidly, according to Peter Bryant, GSI practice lead at Omdia, a Channel Dive sister company. “From a channel perspective, it is a faster way of getting partners up to speed than formal training and enablement.
GPT model builder OpenAI dipped into AI field support earlier this week with the acquisition of AI engineering firm Tomoro. The deal brought roughly 150 FDEs into a standalone AI consulting business created by OpenAI in concert with Bain & Company, Capgemini, and McKinsey & Company.
As vendors dispatch these teams of AI-trained enablers, the onus is on partners to get the most of what they can provide.
“Partners are going to have to work to integrate these FDEs into their go-to-market and services approach,” Bryant said. “FDEs are going to be on site for customers at most a month. The most successful partners are going to know how to take over and deliver on the initial successes of FDEs.”
