Forward-Deployed Engineer

🕒 vor 8 Monaten

🏄 California – Remote

🏄 California – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

👷🏻‍♀️ Ingenieur

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ept AI

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11 - 50 Mitarbeiter

🤖 Künstliche Intelligenz

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

ept AI ist eine Enterprise SaaS-Plattform, die KI-gesteuerte Wissensmanagement-, Kundensupport- und Vertriebsunterstützungstools für B2B-Technologieunternehmen bereitstellt, mit besonderem Fokus auf die Halbleiter-, Industrie-, Energie- und IoT-Sektoren. Sie liefert produktzentrierte KI-Assistenten — Chatbots, CRM-/Vertriebshandbücher, RFP- und technische Antwortgenerierung sowie kontextbezogene In-Produkt-Hilfe — die in bestehende Arbeitsabläufe integriert werden, um das Kundenerlebnis zu verbessern, den Vertrieb zu beschleunigen und den Support zu skalieren, wobei der Schwerpunkt auf Datensicherheit und kontinuierlichem Leistungsmanagement liegt.

Beschreibung

• Engage directly with enterprise customers (C-suite, product, sales, support leaders) to understand their business goals, bottlenecks and technical landscape, and define how ept AI’s platform can deliver differentiated value. • Lead the end-to-end deployment lifecycle for complex AI use cases: requirement discovery → solution design → rapid prototyping → production readiness → scalable rollout → ongoing optimisation. • Write, review and deploy production-grade code, data pipelines, APIs, and integrations (both on-premises and cloud) to embed our modular AI platform into customer workflows. • Work closely with ept AI’s product and engineering teams to feed back field insights, drive platform enhancements, prioritise feature requests, and contribute to our roadmap. • Serve as the trusted technical advisor for the customer, handling technical escalations, performance tuning, adoption metrics, security/compliance concerns and change management. • Enable adoption and ROI: define and track metrics of success (time-to-value, CSAT, support ticket reduction, incremental revenue, etc.), deliver training and documentation, and work with customer teams to drive long-term value realisation. • Support pre-sales and commercial activities: providing scoping support, technical demos, proof-of-value builds, and contributing to RFPs or statements of work when needed.

🎯 Anforderungen

• Bachelor’s or Master’s degree in Computer Science, Engineering or related technical discipline (or equivalent practical experience). • 5+ years of hands-on software engineering in enterprise environments; demonstrable experience building production systems (backend, data, integrations) in one or more languages (e.g., Python, Java, C#) and comfortable working with APIs, microservices, event-driven architectures and cloud platforms. • Experience with deploying or integrating enterprise-scale AI, ML, or data-driven platforms (ideally including natural language, agent-based workflows, or modular AI architectures). • Strong ability to translate business/operational problems into technical solutions. • Comfort bridging business stakeholders and engineering teams. • Experience in customer-facing roles (customer success, professional services, solutions engineering, or equivalent) where you’ve delivered measurable outcomes. • Excellent communicator—capable of engaging both executives and engineers; able to present value, trade-offs, timelines and technical architecture clearly. • Demonstrated ability to operate in ambiguous, fast-moving environments and handle multiple customer deployments in parallel, maintaining quality and customer satisfaction. • Willingness and ability to travel (up to ~50-70%) including customer site visits worldwide as needed. • Strong customer-oriented mindset, resilient under pressure, able to escalate, adapt and deliver. • Experience working with enterprise security, compliance, data-governance, and integration into legacy systems is a plus.

🏖️ Vorteile

• Travel regularly (domestic and/or international) to be onsite at customer locations as required by deployment rhythm. • Maintain strong customer relationships, ensure high satisfaction, retention and expansion opportunities, and act as an ambassador for ept AI’s brand and technical excellence.