Technical Account Manager (SaaS)

TL;DR

Technical Account Manager (SaaS): Deliver technical advisory and client success services for hirify.global's AI-powered business planning platform with an accent on client engagement, EPM modeling, and strategic account management. Focus on aligning customer success strategies, running workspace audits, and collaborating with product teams to enhance platform value.

Location: San Francisco, New York City, or Toronto with hybrid work format

Salary: $140,000 - $160,000 per year

Company

hirify.global is a fast-growing AI-powered SaaS platform for business planning and performance management, serving global clients including Unilever and Siemens.

What you will do

• Align with Customer Success teams to build client strategies considering roadmaps and challenges
• Act as trusted technical advisor to strategic clients on performance best practices and multidimensional concepts
• Conduct audits on client workspaces to optimize usage
• Maintain and enrich Success Plan offerings to uphold industry standards
• Collaborate with Product and R&D teams to identify product enhancement opportunities

Requirements

• Must have 6+ years experience in solution architecture or similar technical client-facing roles
• Comfortable engaging with client administrators and C-Suite executives
• Strong expertise in EPM modeling
• Experience with finance processes or related use cases like supply chain or workforce planning
• Data analysis skills including SQL and API knowledge

Nice to have

• Ability to quickly identify technical challenges and communicate solutions
• Proven ability to lead multiple projects with internal and external stakeholders

Culture & Benefits

• Competitive compensation and stock options
• Comprehensive medical, dental, and vision insurance
• Generous time off and parental leave policies
• Flexible working hours and hybrid work model
• Annual company offsite and modern offices in major cities
• High-end equipment provided
• Employer-sponsored 401(k) retirement plan

Hiring process

• Background checks including employment and education verification
• Use of AI tools to assist recruitment, with final decisions made by humans