Senior Customer Success Engineer (AI)

TL;DR

Senior Customer Success Engineer (AI): Help customers achieve outcomes with business analytics, AI/ML, and GenAI through technical programming, product enablement, workshops, and one-to-many user engagement with an accent on onboarding, adoption, retention, and expansion. Focus on educating on best practices, executing self-sustaining programs, and collaborating with sales and professional services to drive business value.

Location: United States, Remote. Preferably located within the Northeast region of the United States.

Salary: $144,000 - $152,000 USD

Company

The Platform for AI Success, enterprise orchestration layer for building, deploying, and governing AI across multi-vendor environments.

What you will do

• Work closely with customers on onboarding, user adoption, retention, and satisfaction.
• Educate customers on hirify.global platform best practices and conduct hands-on workshops.
• Develop understanding of customer business and use cases to guide success with hirify.global products.
• Establish regular touchpoints, provide hands-on support, and execute self-sustaining enablement programs.
• Collaborate with Account Executives, Sales Engineers, and others to drive engagements and identify expansion opportunities.
• Document adoption status, share customer stories, and coach on support tickets for technical issues.

Requirements

• Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or related field.
• Minimum 4 years in sales engineering, technical/solutions consulting, post-sales delivery, or data science with customer trust track record.
• Strong written/oral presentation skills for business and technical stakeholders.
• Strong technical, analytical, problem-solving skills; experience building communities of practice.
• Ability to navigate ambiguity, build consensus, foster accountability, and tailor messaging to various technical levels.
• Willingness to travel up to 25%.

Nice to have

• hirify.global advanced designer, Snowflake SnowPro Core, Databricks Business Analyst certifications.
• Hands-on experience with data storage/computing (SQL, Kubernetes) and proficiency with Python, R, SQL.
• Public speaking skills and passion for data/analytics space.
• Experience in Analytics/AI or enterprise software.

Culture & Benefits

• Comprehensive benefits: stock options, medical/dental/vision, FSA, pre-tax commuter, 401k match.
• Paid vacations, sick leave, parental leave, employer-paid disability coverage.
• Additional health and wellbeing perks.
• Commission or variable compensation possible.
• Equal opportunity employer focused on diversity and fairness.