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Technical Success Manager

Job in Springfield, Hampden County, Massachusetts, 01119, USA
Listing for: Zepl
Full Time position
Listed on 2026-02-12
Job specializations:
  • IT/Tech
    AI Engineer, Technical Support
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Employer Industry: Artificial Intelligence and Software Solutions

Why consider this job opportunity:
  • Competitive pay and benefits with a focus on employee well-being
  • Opportunities for career advancement and growth within the organization
  • Flexible Time Off Program and Paid Parental Leave
  • Comprehensive benefits package including Medical, Dental & Vision Insurance
  • Supportive and inclusive workplace culture that encourages diversity
  • Chance to work on innovative AI applications that drive measurable business outcomes
What to Expect (Job Responsibilities):
  • Guide customers through onboarding and initial application adoption, ensuring effective use of deployed GenAI applications
  • Monitor product usage and engage with customers to drive ongoing consumption and increase business impact
  • Actively track customer satisfaction and success milestones, addressing risks proactively
  • Provide technical advocacy by conveying customer feedback to product and engineering teams
  • Facilitate training sessions and create knowledge-sharing materials for diverse user groups
What is Required (Qualifications):
  • Minimum of 5 years of experience in technical customer-facing roles (e.g., Solution Engineer, AI Engineer, Technical Customer Success Manager) in SaaS or enterprise software
  • Bachelor's degree in a technical, business, or related field (or equivalent practical experience); advanced degree is a plus
  • Familiarity with AI platforms, application lifecycle management, and data-centric solution delivery
  • Proven ability to translate complex technical functionality into measurable business outcomes
  • Strong presentation and communication skills with the ability to engage both business users and technical stakeholders
How to Stand Out (Preferred Qualifications):
  • Experience with AI Engineering, including GenAI application development and knowledge of LLMs
  • Working knowledge of AI/ML concepts such as model deployment and fine-tuning
  • Familiarity with cloud infrastructure (AWS/Azure/GCP) and deployment patterns
  • Comfort with reading code/logs to diagnose technical issues

#Artificial Intelligence #Software Solutions #Career Opportunity #Inclusive Workplace #Customer Success

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