About the Role
We are building a local Enterprise Sales Pod in Dubai, which consists of one Account Executive (AE) and one Forward Deployed Engineer (FDE), working collaboratively to develop a enterprise business in the market. In this role, you will engage directly with enterprise customers to design and implement production systems on global network, focusing on voice, messaging, AI, and wireless solutions.
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This position transcends conventional product demonstrations; it emphasizes constructing real-world solutions capable of scaling effectively. You will partner with a dedicated Enterprise AE, taking charge of the technical aspects, including discovery, architecture, POC, and production go-live, ensuring a collaborative workflow.
The Pod Model
- Enterprise AE: Oversees the named-account list, cultivates executive relationships, qualifies and closes commercial opportunities. OTE $350K.
- Forward Deployed Engineer: Responsible for technical discovery, architecture design, building POCs, enabling initial workload launches, and troubleshooting obstacles.
We focus on the workloads our solutions deliver, such as AI contact centers, SOC/NOC agents, global communications, and connected mobility. The sales conversation is centered around outcome delivery rather than merely product offerings.
What You'll Do
- Collaborate with enterprise customers to assess their communication workflows, AI applications, and integration challenges.
- Develop and deploy custom solutions: AI Voice Assistants, APIs (Voice, Messaging, Fax, Wireless), WebRTC.
- Implement LLMs in customer environments, utilizing Inference or self-hosted stacks as required.
- Operate LiteLLM as a model gateway in customer settings: providing a unified API interface, with routing, load balancing, and observability features.
- Ensure operational oversight of LLM usage, including monitoring costs and implementing guardrails for customer clarity.
- Establish observability protocols for all deployments, coordinating metrics and alerting systems to support production health checks.
- Create model routing strategies to optimize performance across voice workloads with fallback measures.
- Conduct POCs, pilots, and production integrations from inception to live operation.
- Maintain customer engagement until solutions are operational and stable.
- Collaborate with Product and Engineering teams to influence the roadmap based on on-ground insights from the UAE and GCC markets.
- Produce clear technical documentation and runbooks for successful handoff.
- Address complex integration challenges alongside customer engineering teams.
What We're Looking For
- A Computer Science degree or equivalent experience.
- Over 3 years of experience in building and shipping production software, with a proven track record of supporting operational software.
- Proficiency in languages such as Python, Node.js/TypeScript, and Go; familiarity with TypeScript is especially relevant for Edge Compute.
- A solid grasp of production model challenges such as rate limits and concurrency-related failures.
- Experience deploying containerized applications on Kubernetes with an emphasis on security management and configuration during upgrades.
- Hands-on experience with observability frameworks like Prometheus, Grafana, or OpenTelemetry.
- Strong analytical background dealing with high-concurrency systems, message queues, and event streams.
- API development experience, including a deep understanding of REST/GraphQL, authentication, and versioning strategies.
- A cloud-native approach and awareness of SIP, WebRTC, or real-time communication systems.
- Capability to engage in customer-facing engineering discussions and lead technical conversations with clarity.
- Excellent communication skills in English and Arabic, suitable for engaging with technical and executive teams.
- Based in Dubai or willing to relocate; this role includes travel throughout the UAE and GCC.
- Authorization to work in the UAE, or valid for sponsorship.
Bonus Points For
- Familiarity with AI voice assistants, speech-to-text technologies, or LLM conversational systems.
- Experience constructing evaluation sets tailored to specific domains.
- Proficiency in using LLM gateways and their configurations.
- Knowledge of the landscape of open-weight models and familiarity with Arabic AI model initiatives.
- Experience with SQL and data manipulation, CI/CD pipeline automation, and cloud regulations in the UAE/GCC region.
- A background in telecommunications, CPaaS, or SaaS, particularly within high-growth sectors.
- Understanding of security best practices in cloud environments.
