Usamos cookies técnicas y el registro de visitas anonimizado de Zorky. Yandex Metrica (los datos se guardan en servidores en Rusia) solo se activa con tu consentimiento. Nunca vendemos datos. Más sobre cookies y estadísticas.
Zorky está en modo de prueba: todo es gratis. Los empleos y las páginas de empresas están abiertos a todos; los enlaces a las ofertas y tu selección personal se abren tras registrarte. Regístrate →
← Todos los empleos

Applied Forward Deployed Engineer (Post-Sales)

Nivel no indicadoremote~$13.3K /moColorado, UShace 2 d
Análisis del mercado
📊 Data Engineering: salarios y demanda en el mercado
Stack
airflowclouddatabricksdbtfivetranpythonrestsalesforcesnowflakesql
Mostrar empresa y enlace
Gratis, tras iniciar sesión.
Postular
Sube tu CV: empleadores y reclutadores de distintos países que buscan tu perfil podrán contactarte directamente.
Enviar tu CV →
Descripción

About Monte Carlo Monte Carlo is the agent trust platform that autonomously observes, fixes, and continuously improves agents and the data that powers them — so enterprises can scale trust at the speed of AI. Bayes, our AI teammate, does the work: detecting, triaging, troubleshooting, and fixing issues in AI agents and the data powering them. The result is self-improving agents that get better with every fix instead of drifting.

More than 400 enterprises, including Amazon, Pepsi

Co, CNN, Nasdaq, and JetBlue, rely on Monte Carlo. Learn more at montecarlo.ai . The Role We're hiring an Applied Forward Deployed Engineer (Post-Sales) to own the technical side of every new customer from the moment the deal closes until they're live and getting value.

You'll write production code in customers' Snowflake and Databricks environments, integrate Monte Carlo with their real pipelines, and become the technical advisor they call before they escalate. This isn't support and it isn't a CSM role: your metric is whether the customer is live and consuming. It's an early hire into a new function, so you'll help write the FDE playbook, not inherit one.

Remote (US), with roughly 25% travel to customers. What You'll Do Own deployment from day one post-close: monitors, alerts, and integrations configured for the customer's actual environment. Write production-quality Python, SQL, and API integrations tailored to customer pipelines, and clear whatever stands between a signed contract and a fully opera

Descripción completa, empresa y enlace para postular: después de iniciar sesión. Iniciar sesión
Los contactos del empleador (correo/teléfono/telegram) están ocultos en la vista previa pública. Envía tu CV para que los empleadores puedan contactarte directamente.
Denunciar esta oferta
¿Pregunta urgente? Escribe a @termdocs