4 дня назад
Professional Services - USA (Enterprise AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Professional Services - USA (Enterprise AI): Owning Advanced Services customer relationships and service quality for enterprise real-time data platform deployments with an accent on troubleshooting, onboarding, observability, and capacity planning. Focus on monitoring distributed systems, coordinating cross-functional incident resolution, and keeping customer environments stable through upgrades and growth.
Location: Can be based anywhere in Canada, the United States, or Mexico; mostly remote with occasional customer travel.
Company
provides a real-time data platform that helps enterprises build event-driven applications and production-grade AI systems.
What you will do
- Own technical relationships and service quality for a portfolio of Advanced Services customers.
- Monitor customer environments, manage support tickets, and lead issues through triage, resolution, documentation, and follow-up.
- Lead onboarding and stabilize new customer deployments after go-live.
- Track capacity, growth, platform advisories, known issues, supported versions, and upgrade planning.
- Prepare service reports and communicate platform health to engineers, architects, and business leaders.
- Improve service playbooks, operational tooling, and feedback loops with Support, Engineering, Product, Account, and Customer Success teams.
Requirements
- 5+ years in professional services, technical consulting, managed services, or enterprise infrastructure operations in a customer-facing role.
- Hands-on experience with event-driven architecture, messaging middleware, or distributed systems such as , Kafka, IBM MQ, TIBCO, or RabbitMQ.
- Strong troubleshooting across application, middleware, network, and cloud layers, with clear technical documentation.
- Experience with monitoring and observability tooling, plus scripting and automation skills; Python is preferred.
- Working knowledge of Kubernetes, containerized deployments, and at least one of AWS, Azure, or GCP.
- Excellent written and verbal communication, organization, and self-direction while managing multiple customer relationships.
Nice to have
- Direct Platform experience, including Cloud, software brokers, or appliances.
- Familiarity with MQTT, AMQP, JMS, REST, SMF, ITIL, managed services, SRE, or NOC environments.
- Experience with data center hardware appliances or Datadog and equivalent observability platforms.
- Spanish or French language skills.
Culture & Benefits
- Mostly remote work with flexibility built into the working model.
- Training programs and opportunities for professional growth.
- Values centered on craftsmanship, trust, courage, freedom, momentum, humility, and human experience.
- Inclusive, transparent, and supportive workplace with accommodations available during hiring.
- AI tools may be used for initial resume screening, while interviews and final decisions are handled by human recruiters.
Hiring process
- Initial resume screening may use AI to compare qualifications with the role requirements.
- Interviews and final hiring decisions are conducted by the human recruitment team.
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