Senior Forward Deployed Engineer

Stelle nicht auf LinkedIn

🕒 vor 11 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟠 Senior

👷🏻‍♀️ Ingenieur

👻 Geisterscore 24%

infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Qualytics

Qualytics

11 - 50 Mitarbeiter

Gegründet 2020

🔌 API

🤖 Künstliche Intelligenz

☁️ SaaS

API • Artificial Intelligence • SaaS

Qualytics ist eine Datenqualitätsplattform, die die Datenqualitätskontrollen für Unternehmen automatisiert und verfeinert. Sie bietet erweiterte Workflows, die in bestehende Datenstacks integriert werden können, und ermöglicht so eine zentrale Verwaltung der Datenqualitätsprüfungen, während Geschäftsanwendern Low-Code- und No-Code-Lösungen zur Verfügung gestellt werden. Mit Funktionen wie automatisierter Anomaliedetektion und Datenabgleich steigert Qualytics das Vertrauen in die Daten und ermöglicht ein skalierbares Management für Organisationen jeder Größe.

Beschreibung

• Own the full customer lifecycle, including onboarding, enablement, engagement, retention, and expansion • Serve as the strategic point of contact for a portfolio of enterprise customers • Lead Customer Objective Reviews to align stakeholders on goals, metrics, and measurable outcomes • Partner with Sales to identify opportunities and drive renewals and expansion through demonstrated value • Support pre-sales and proof-of-concept efforts by mapping customer business needs to product capabilities • Act as the voice of the customer internally, influencing Product and Engineering with structured, actionable feedback • Collaborate with founders, engineers, Sales, Product, and Engineering in an early-stage startup environment • Help shape how the company scales, rather than following an established blueprint

🎯 Anforderungen

• 5+ years in a strategic, customer-facing role such as Customer Success, Forward Deployed Engineering, Strategic Account Management, or Client Partner (preferably in B2B SaaS) • Experience managing complex enterprise relationships, ideally including Fortune 500 organizations • Demonstrated ability to build executive relationships, align on business value, and maintain customer health over time • Exceptional communication skills, including translating broad business objectives into actionable technical conversations and explaining technical features in support of strategic goals • Comfortable working cross-functionally across Sales, Product, and Engineering in fast-moving environments • Strong bias toward ownership and action • Familiarity with modern data platforms such as Snowflake, Databricks, and dbt is nice to have • SQL proficiency or conceptual comfort with data profiling and quality principles is nice to have • Experience with data quality, data governance, or observability platforms is nice to have • Past support of technical POCs or evaluations alongside Sales or Solutions Engineering is nice to have • Experience working with Product and Engineering in a feedback-driven environment is nice to have

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