Twilio
Senior Principal Field Architect- AI Agents
Rol remoto de Engineering con fit claro de ubicación del candidato.
PublicadoAgregado recientemente
Países elegibles1 país aceptado
Señal de seniorityLead
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Estados Unidos
Resumen del rol
Senior Principal Field Architect- AI Agents
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Details
- Ecosystem Engineering & Integration: Engineer seamless integrations between Twilio Agent Connect (TAC), the Twilio Conversations suite, and hyperscaler AI platforms (AWS Bedrock, Azure Foundry, GCP Vertex AI Agent Builder, and Meta's Business Agent platform for example).
- Champion the Builder’s Mindset: Demonstrate a deep, practical understanding of modern software development. You must know how developers are using AI coding tools like Claude, Gemini, and Cursor to build conversational AI (omnichannel customer support agents, for example) on top of Twilio today and in the future.
- Strategic Partnerships: Act as a technical liaison and partnership builder with our Partner Teams with leading AI tool and cloud companies, ensuring Twilio's APIs work perfectly within their ecosystems to accelerate our customers' time-to-market.
- Roadmap & Vision Leadership: Present Twilio's technical roadmap and vision to customers. Consolidate insights into structured inputs for planning to help shape R&D priorities.
- Sales & Go-to-Market Enablement: Support and provide direction to Sales and Specialist teams on the latest positioning, use cases, and technical roadmaps. Work with sales enablement to ensure teams are covering the right topics.
- Customer Discovery: Partner with the Specialist team to capture technical and business requirements with key enterprise accounts identified as design partners.
- 10+ years of engineering experience coupled with 8+ years in enterprise technology strategy technical product management, cloud engineering, or executive consulting roles.
- Cloud & AI Expertise: Deep architectural understanding of major cloud hyperscalers (AWS, Azure, GCP) and hands-on familiarity with conversational AI, chatbots, cognitive services, and machine learning architectures and engineering practices.
- Engineering Nuance: A strong technical background to discuss complex system architectures and integrate AI technologies. .
- Strategic Thinking & Leadership: Ability to develop and execute long-term solution architectures, roadmaps, and cross-functional initiatives at an enterprise scale with significant business impact.
- Technical & Business Acumen: Exceptional communication skills to articulate complex concepts to both highly technical developers and business-focused executives.
- Customer Focus & Agility: Proven ability to advocate for customer-centric engineering practices and thrive in a fast-paced, evolving environment with comfort operating in areas of ambiguity.
- Proven track record of supporting and enabling sales and partner ecosystems with product knowledge and GTM materials.
- Experience building modern digital customer engagement experiences using cloud and AI services to help customers identify and resolve issues.
- Advanced degree (Master's in Computer Science, Physics, or related field), or Bachelor's degree from an accredited university or equivalent experience.
- Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $284,320 - $355,400.
- Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $292,080 -- $365,100.
- Based in the San Francisco Bay area, California: $324,480 - $405,600.
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