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The Enterprise Account Executive will generate leads, manage sales pipelines, collaborate with technical teams, and drive adoption of DoiT's PerfectScale platform, focusing on B2B SaaS and Kubernetes optimization technology.

As an Account Executive, you will generate sales leads, manage deals, and pitch solutions for PerfectScale's Kubernetes optimization technology to enterprise and mid-market clients, focusing on customer experience and pipeline development.

The Revenue Enablement Specialist empowers sales teams with training, resources, and strategies for new customer acquisition, aligns sales with marketing, and improves sales effectiveness.

As a Solutions Engineer at DoiT, you will lead technical validation, conduct POC sessions, develop business cases, and represent PerfectScale at events, focusing on Kubernetes cost optimization and customer engagement.

The Channel Account Executive will drive new business through partner channels, owning the sales cycle from discovery to closing deals. Responsibilities include building partner relationships, generating pipelines, and collaborating with internal teams to ensure successful transactions.

The Software Engineer (GenAI-Focused) will improve the DoiT Cloud Intelligence product by implementing features, optimizing cloud solutions, and collaborating across teams to tackle technical challenges.

Senior commercial finance leader partnering with CRO and CFO to govern deal strategy, pricing, and commission incentives. Own Deal Desk decision-making, chair global Commission Committee, build financial models, ensure payout controls, and translate bookings into predictable, profitable financial outcomes across margin, cash, and revenue.

Lead and scale revenue growth through DoiT's global distribution and partner ecosystem, overseeing strategy, execution, and team management.

The Sales Development Representative will focus on outbound lead generation, setting meetings, and building relationships to support the sales team.

As a Technical Product Owner, you'll define requirements, collaborate with engineering teams, and drive product execution to optimize Kubernetes solutions.