Senior Manager AISE, Tier 2-3, Post Sales (AI)

TL;DR

Senior Manager AISE, Tier 2-3, Post Sales (AI): Leading and developing a team of post-sales AI Solutions Engineers to drive scaled customer success and product adoption with an accent on defining engagement models, program execution, and operational rigor. Focus on building repeatable and measurable programs, tracking customer outcomes, and fostering cross-functional alignment to improve self-serve experiences.

Location: Primarily hybrid role in Livingston, NJ, New York, NY, Sunnyvale, CA, Bellevue, WA, or Philadelphia, PA. Remote work may be considered for candidates located more than 30 miles from an office, based on role requirements. Must be a U.S. person (citizen, national, green card holder, refugee, or asylee) for export control compliance.

Salary: $188,000–$275,000

Company

hirify.global is The Essential Cloud for AI™, providing a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence.

What you will do

• Lead and develop the Scale Post-Sales AISE team, including hiring, onboarding, coaching, and retaining a high-performing team.
• Own scaled post-sales strategy and program execution (1-to-many), defining engagement models and program portfolios.
• Run the operating system: metrics, prioritization, and cross-functional alignment to track outcomes and improve experiences.

Requirements

• 6–10+ years in customer-facing technical roles (Solutions Engineering, Solutions Architecture, Technical CSM, Post-Sales Engineering), including 2+ years of people management or team leadership.
• Proven experience building and operating scaled customer success motions (1-to-many programs, lifecycle enablement, playbooks, templates).
• Strong technical foundation in ML/AI workflows and modern tooling.
• Excellent communication skills, able to influence across functions and present to groups.
• Highly operational: able to set goals, build dashboards/metrics, create a cadence, and drive continuous improvement.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).

Nice to have

• Experience building and scaling technical post-sales teams across geographies.
• Familiarity with data engineering, MLOps/LLMOps practices, and modern deployment tooling (Docker, Kubernetes, cloud-native services).
• Knowledge of enterprise adoption metrics and operational reporting for technical teams.

Culture & Benefits

• Discretionary bonus, equity awards, and a comprehensive benefits program.
• 100% company-paid medical, dental, and vision insurance, company-paid life insurance, and disability insurance.
• Flexible Spending Account, Health Savings Account, and 401(k) with a generous employer match.
• Tuition reimbursement, mental wellness benefits through Spring Health, and family-forming support.
• Paid parental leave and flexible, full-service childcare support with Kinside.
• Flexible PTO and catered lunch each day in office and data center locations.
• A work culture focused on innovative disruption, entrepreneurial outlook, and opportunities for growth.