Senior Solutions Architect

🕒 vor 3 Tagen

🗽 New York – Remote

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💵 $159.375 - $255.000 / Jahr

⏰ Vollzeit

🟠 Senior

💻 Lösungsingenieur

🦅 H1B-Visum-Sponsor

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👻 Geisterscore 0%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Airbyte

Airbyte

51 - 200 Mitarbeiter

Gegründet 2020

☁️ SaaS

🤝 B2B

🤖 Künstliche Intelligenz

💰 €150.000.000 Series B - Airbyte im 2021-12

SaaS • B2B • Artificial Intelligence

Airbyte ist eine Open-Source-Datenintegrationsplattform, die ETL/ELT, Datenreplikation und Connector-Infrastruktur für den Datenfluss und die Aktivierung über Datenbanken, -speicher, -seen und Anwendungen hinweg bietet. Es bietet sowohl ein entwicklerfreundliches Open-Source-Kernsystem als auch kommerzielle SaaS-/Enterprise-Lösungen mit Connectors, einer Agent Engine zur Unterstützung von KI-Agenten und Echtzeit-Workflows sowie Funktionen für Sicherheit, Governance und Management von Hochdurchsatz-Pipelines. Airbyte wird von Datenteams genutzt, um Datenpipelines zu erstellen, zu betreiben und zu skalieren sowie um Analytik-, BI-, Machine-Learning- und GenAI-Systeme zu speisen.

Beschreibung

• Lead and execute customer technical projects, including implementation and deployment of Airbyte solutions • Guide customers throughout their customer journey with technical expertise and hands-on support • Advise customers on integrating LLM-based tooling into existing data infrastructure alongside Airbyte connectors • Work directly with clients’ technical teams to understand needs and tailor solutions • Manage technical success by collaborating with Technical Support, Product, and Engineering teams • Help clients evaluate and adopt AI agent frameworks to build autonomous data agents using Airbyte as a data source • Collaborate with Sales to identify and drive customer growth opportunities • Act as the internal source of truth for customer technical requirements, expectations, and needed functionalities • Partner with Product and Engineering teams to surface customer needs and influence the roadmap • Demonstrate Airbyte’s offering and best practices to clients and at industry events • Serve as a brand ambassador and foster relationships with key stakeholders • Evangelize best practices for building AI-ready data stacks • Create and deliver technical content including blog posts, demos, and conference talks

🎯 Anforderungen

• 6+ years of experience in a customer-facing technical role such as resident solutions architect, professional services engineer, or consulting role • 2+ years of experience in a startup environment, ideally in modern data infrastructure • Experience with cloud applications, databases, ELT tools, data warehouses, or related fields • Hands-on experience with one or more AI frameworks • Exposure to AI agent frameworks and prompt engineering best practices is a strong plus • Proven track record supporting products that directly impact business productivity • Exceptional customer orientation focused on seamless onboarding and ongoing technical success • Strong interpersonal and presentation skills • Deep Kubernetes expertise, including production troubleshooting of workloads, pods, networking, storage, and resource management • Deep understanding of SQL, CDC, database replication, and data synchronization concepts • Strong knowledge of REST APIs, HTTP methods, OAuth, API keys, JWT, webhooks, and JSON • Ability to support East Coast Timezone • Ability to legally work in the U.S. or disclose sponsorship requirements

🏖️ Vorteile

• Flexible PTO with a culture that encourages at least 25 days off annually • 16 weeks fully paid parental leave for all parents • Comprehensive medical, dental, and vision coverage for employees and dependents • 401(k) retirement plan • Professional development budget, conference sponsorship, and book reimbursement • Commuter benefits and monthly internet reimbursement • Breakfast and lunch in our San Francisco office • Collaborative, in-person culture focused on learning, growth, and impact • Equity • Commission

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