Senior Sales Executive (AI & Data Services)

Location: San Francisco, CA; remote work from home is available with no daily office travel requirement. Travel is required as needed for client meetings, partner events, industry conferences, and the annual sales kickoff.

Company

hirify.global provides strategic database, analytics, cloud, managed services, and AI solutions that help mid-sized and large enterprises transform their data operations.

What you will do

• Build and execute territory plans covering new-logo acquisition, inbound lead conversion, and account expansion.
• Manage Salesforce pipeline accuracy, forecasting, weekly reviews, and targeted account strategies across enterprise verticals.
• Lead discovery and solution conversations for Production AI, AI Strategy, Agentic AI, AI Automation, database managed services, cloud data platforms, and data migrations.
• Co-sell with Google Cloud, Oracle, AWS, Microsoft, and other hyperscaler or OEM field teams through partner programs, deal registration, marketplaces, and funded assessments.
• Lead enterprise sales cycles from discovery and business-case development through proposals, negotiation, and close.
• Coordinate Solutions Architecture, Delivery, Legal, Finance, Field CTO, and practice resources throughout complex deals.

Requirements

• 10+ years of enterprise technology sales experience with a consistent record of meeting or exceeding quota.
• Experience selling data and AI services, managed databases, cloud data platforms, AI strategy, or production AI implementations.
• Demonstrated ability to sell managed services and recurring-revenue engagements.
• Experience co-selling with hyperscaler or OEM field teams and navigating partner programs, deal registration, and funded motions.
• Ability to orchestrate cross-functional resources across complex, multi-stakeholder sales cycles.
• Strong executive presence, consultative selling, proposal, presentation, communication, and Salesforce skills.

Nice to have

• Experience with Google Cloud, BigQuery, Vertex AI, Gemini, Oracle, AWS, Microsoft Azure, Snowflake, Databricks, or SAP.
• Experience positioning Agentic AI, GenAI/RAG, MLOps, or AI automation.
• Database or infrastructure managed-services sales experience and familiarity with modern data stacks.
• Experience selling to manufacturing, retail, logistics, finance, or healthcare companies with $300M–$1B in revenue.
• Relevant cloud, database, or AI certifications, plus a relevant bachelor’s degree or equivalent experience.

Culture & Benefits

• Flexible remote work from home with a stable internet connection.
• Training allowance, professional development days, training opportunities, and certification support.
• Company-provided home-office equipment, including a laptop and an annual workspace budget.
• Annual wellness budget, paid vacation, paid sick days, and a volunteer day.
• Collaborative environment with experienced professionals in data, cloud, managed services, and AI.

Hiring process

• Successful applicants must fulfill the requirements for a background check.
• Accommodations are available upon request during the selection process.
• AI tools may assist with application review and recruitment steps, while final decisions remain with human reviewers.