Remote Frontend Jobs

This position is needed to support the GTM Innovation team. As a Forward Deployed Engineer (FDE) at Twilio, you will be responsible for accelerating the adoption of new solutions and platform capabilities in incubation with our Top Global customers.

Operating with a forward deployed engineering mindset, you will bridge the gap where many enterprise AI projects stall at the last mile. Specifically, you will own the technical delivery of the Solution Acceleration Program - going beyond isolated sandbox environments to embed alongside customer engineers and deploy their first low-risk production use case. You will run workshops and hackathons across Twilio's global sales base, build early adoption playbooks, and dramatically shorten the customer's path to value realization and ARR generation. In doing so, you will serve as a critical technical conduit, surfacing product signals and structured field insights that directly influence Twilio's core R&D roadmaps.

Responsibilities

• Lead technical engagements end-to-end scoping solution architecture in POC workshops, designing and building production-grade systems, and driving the engagement through stabilization to the launch of the first live use case.
• Write and ship production code (Python, TypeScript, Node) directly in customer codebases - designing APIs, integrating with existing customer architecture, building proper error handling, observability, and test coverage - working as a hands-on contributor alongside customer engineers, not just an advisor.
• Architect solutions that pass customer Infosec, security, and Architecture Review Board (ARB) review, translating security and compliance requirements into concrete implementation decisions around auth, data handling, and infrastructure design.
• Lead high-energy customer hackathons and builder activation events at flagship or target Direct accounts to accelerate the adoption of new solutions.
• Build and maintain reusable technical assets - reference implementations, starter apps, SDKs, sample repos, and companion engineering guides - that demonstrate sound architecture and become the technical backbone for adoption across accounts.
• Partner with Enterprise Architects and Demo Platform Engineering to turn high-level reference architectures into working, deployable code that customer builder teams can extend on their own.
• Evangelize Twilio within the B2B builder communities of the target accounts by driving building of net new POCs and demos that bring to life architectures discussed at the C-suite, line of business levels in the sales cycles
• Utilize your software engineering expertise to ensure customers' builder teams develop full understanding of and familiarity with the whole platform capabilities of the solutions being pitched or sold
• Work closely with the Demo Platform Engineering and Enterprise Architect teams to ensure C-suite positioning and the higher level reference architectures are properly activated within the builder communities of the target accounts
• Synthesize field insights from every production deployment to directly inform R&D of necessary product improvements and feature requirements

Requirements

• 5+ years of hands-on software engineering experience, with a strong track record of shipping production code (Python, TypeScript, Node) in real systems - not just prototypes or demos.
• Solid grounding in software engineering fundamentals: API design, system architecture, testing, debugging, version control workflows, and CI/CD.
• Demonstrated experience running end-to-end technical engagements - from POC workshops through to production deployment
• Strong communication skills and executive presence, whether it's in board rooms with C-level stakeholders, customer meetings, or internal meetings with cross-functional stakeholders
• Ability to have strong opinions loosely held, and willingness to lean into ambiguity and proof of thriving in such environment previously
• Strong understanding of Twilio's products and services, as well as the broader market dynamics of SaaS, specifically in cloud computing, Gen AI, CRM, CDP, and/or CPaaS
• Ability to influence cross-functional stakeholders and work collaboratively
• Creative thinking and problem solving skills, with a track record of thinking outside the box and delivering on "wow"
• Prior experience in a forward deployed engineering, technical presales and/or solution engineering experience strongly preferred

Desired

• Deep understanding of Large Language Model (LLM) core concepts, context engineering, and conversational AI patterns.
• Experience building multi-agent AI systems using frameworks (e.g., LanghChain/LangGraph, CrewAI) and advanced agentic design patterns
• Experience with infrastructure-as-code, cloud platforms (AWS/GCP/Azure), and observability tooling.
• Master's degree in Computer Science or a related field is a plus but not required.