Monte Carlo
Manager, Technical Account Manager
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Job Description
- Req#: 1c592b48-eca3-4584-9364-8ba535a5ee32
Employer Industry: Data & AI Solutions
Why consider this job opportunity:
- Competitive compensation and meaningful equity
- Opportunity for career advancement and growth within a high-impact team
- Flexible remote work options and generous PTO
- Work at the forefront of the data & AI observability movement
- Foster a culture built on autonomy, trust, and inclusion
What to Expect (Job Responsibilities):
- Hire, onboard, coach, and develop a team of Technical Account Managers
- Oversee technical relationships for the employer’s largest enterprise customers
- Act as an escalation point for complex technical challenges and high-impact customer situations
- Partner with Product and Engineering to bring customer insights into roadmap prioritization
- Define success metrics for the TAM function and track performance across customer outcomes
What is Required (Qualifications):
- 7+ years of experience in customer-facing technical roles such as Technical Account Manager or Solutions Architect
- 2+ years of experience managing or leading technical customer-facing teams
- Strong understanding of modern data technologies, including SQL and cloud data warehouses
- Proven ability to coach and develop technical talent while driving customer outcomes
- Excellent communication skills with the ability to influence cross-functional partners
How to Stand Out (Preferred Qualifications):
- Experience with data & AI observability, monitoring, or analytics SaaS platforms
- Experience scaling customer-facing teams in a high-growth startup environment
- Familiarity with enterprise customer success motions and complex account management
#DataAI #TechnicalAccountManager #RemoteWork #CareerGrowth #InclusiveWorkplaceAbout the company
Monte Carlo is on a mission to accelerate the world's adoption of data by minimizing data downtime. We bring full observability to data teams by monitoring, alerting, resolving, and preventing data quality issues, helping them achieve data reliability.
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