Enterprise Account Manager (AI/ML Infrastructure)

Location: San Francisco, United States; hybrid

Salary: $180,000–$250,000 annually, plus equity

Company

hirify.global is building a data platform for machine learning applications, focused on reducing complexity, latency, and scale barriers for production ML workloads.

What you will do

• Own expansion, renewal, retention, and consumption growth across a portfolio of enterprise customers.
• Build strategic account plans covering customer priorities, technical use cases, stakeholders, budgets, and expansion paths.
• Partner with Forward Deployed Engineering, Product, Sales, and customer-facing teams to move ML use cases from deployment to production and scaled usage.
• Develop relationships with technical champions, business owners, procurement teams, and executive sponsors.
• Lead commercial discussions covering renewals, expansions, pricing, packaging, and enterprise agreements.
• Forecast consumption growth, renewal risk, and expansion opportunities while sharing customer feedback with leadership and Product.

Requirements

• 5+ years of experience in Account Management, Strategic Account Management, Customer Success, Sales, or related enterprise go-to-market roles.
• Experience managing enterprise software or infrastructure accounts and owning expansion, renewal, or consumption growth targets.
• Background in technical B2B software, infrastructure, data, AI/ML, developer tools, cloud, security, or enterprise platforms.
• Ability to work credibly with ML engineers, data engineers, platform teams, architects, and engineering leaders.
• Strong account planning, forecasting, commercial judgment, negotiation, and communication skills.
• Ability to operate cross-functionally in a fast-moving, high-accountability early-stage environment.

Nice to have

• Experience with consumption-based, usage-based, or platform revenue models.
• Experience expanding ML, AI, data infrastructure, cloud, or developer ecosystem products.
• Experience at an early-stage or high-growth startup.
• Familiarity with modern ML workflows, feature platforms, real-time data, model serving, or production AI systems.
• Experience building account management processes, playbooks, or operating rhythms from scratch.

Culture & Benefits

• Early-stage environment where the account management playbook is still being developed.
• High-impact role shaping the post-sale commercial motion for an ML infrastructure company.
• Equity offered as part of compensation.
• Cross-functional collaboration with Customer Success, Sales, Solutions, Field Engineering, and Product.