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Текст:
Hirify AI/Оригинал
TL;DR
Enterprise Account Executive (AI): Building Revefi’s enterprise revenue engine by managing the full B2B SaaS sales cycle and bringing an AI-driven data observability and cloud spend optimization platform to mid-market and enterprise customers with an accent on technical stakeholder engagement, territory planning, and strategic account development. Focus on generating U.S. pipeline, closing complex multi-stakeholder deals, forecasting revenue, and shaping an early-stage go-to-market motion.
Location: Remote, focused on the U.S. region
Company
hirify.global is an early-stage AI and SaaS company building agentic solutions for data reliability, data operations, quality, and cloud data spend optimization. Its Raden AI Agent combines DataOps and FinOps across major cloud data providers.
What you will do
Own the full sales cycle from discovery and pipeline generation through closing across mid-market and enterprise accounts.
Drive U.S. pipeline through outbound prospecting, inbound leads, and field events.
Educate Data Engineers, Cloud Architects, and FinOps teams on hirify.global’s AI-driven observability and spend optimization platform.
Collaborate with SDRs and Marketing on regional campaigns and go-to-market plays.
Develop territory plans, map strategic accounts, and forecast sales activity and revenue using Salesforce, Gong, and HubSpot.
Share customer feedback with Product and leadership to influence roadmap and positioning.
Requirements
6–8+ years of experience in B2B SaaS sales, including ideally at least 3+ years selling to data, cloud, or engineering personas.
Proven track record of exceeding quota and closing complex deals.
Strong understanding of the modern data stack, cloud infrastructure, or observability.
Experience managing technical sales cycles with multiple stakeholders and long sales timelines.
Excellent written, verbal, and interpersonal communication skills.
Experience in early-stage environments and the ability to work comfortably with ambiguity while building a go-to-market motion from the ground up.
Nice to have
Experience selling to Data Engineers, Cloud or DevOps leaders, or FinOps teams.
Familiarity with GenAI, data observability, or AI/ML-driven infrastructure tools.
Experience at early- to mid-stage startups from Seed to Series B, adapting to changing priorities and scaling go-to-market functions.
Culture & Benefits
Remote workplace with autonomy and accountability.
Competitive salary, uncapped commission, and equity.
Opportunity to join a fast-growing startup backed by top-tier investors.
Opportunity to influence how AI transforms enterprise data operations.
Hiring process
Artificial intelligence tools may support application review, resume analysis, response assessment, and verification checks.
Final hiring decisions are made by humans.
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