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Wind River seeks an outstanding Forward Deployment Specialist to join our new elite AI and Incubation team. This pivotal role demands a rare blend of deep technical knowledge, strategic/business insight, and exceptional communication skills. The ideal candidate will drive the adoption of EDGE AI in multiple business verticals, architect advanced solutions, and act as a trusted technical advisor to our key clients. You will report directly to the Vice President of AI and Incubation and work closely with the rest of the Product Management team in building this business. Travel will be required.
Job Responsibility:
Act as the primary technical expert on EDGE AI and emerging technologies, offering guidance to the sales team, clients, and internal stakeholders
Design and architect sophisticated, scalable solutions to solve critical business challenges and drive value for our clients and Wind River
Collaborate with C-level executives and senior technical leaders to align AI and emerging solutions with their strategic goals
Create and deliver advanced technical demonstrations and proofs of concept that highlight Wind River’s capabilities
Create a detailed technical understanding of the market and our competition in EDGE AI and emerging technology
Work closely with Product and R&D to provide market insights and client feedback, shaping the product roadmap
Help develop and implement technical sales strategies that drive value to Wind River and differentiate Wind River from the competition
Research, design, and write requirements where required
Generate outward-facing whitepapers, blogs, presentations and talks at conferences
Investigate new technologies and techniques and research ongoing industry developments
Requirements:
10+ years in technical sales engineering for embedded software and cloud technologies at the edge demonstrating both technical and business acumen
Strong background in operating systems preferred (enterprise Linux, embedded Linux, RTOS, mixed-criticality) including boot, kernel, drivers, and performance tuning
Knowledge of middleware and runtimes supporting Edge AI (e.g., container runtimes Docker, containerd, Kubernetes / K3s / MicroK8s at the edge, AI runtimes and accelerators (TensorRT, OpenVINO, ONNX Runtime, vendor SDKs)
Ability to translate complex technical solutions into clear business value and ROI for executives
Ability to design end-to-end Edge AI solutions spanning data ingestion, model lifecycle, deployment, runtime, and operations
Hands-on understanding of AI frameworks and model formats (e.g., PyTorch, TensorFlow, ONNX)
Proven ability to lead customer-facing technical engagements, including discovery workshops, executive briefings, and architecture reviews
Skilled at eliciting business objectives, operational constraints, and success criteria, then translating them into viable Edge AI architectures
Comfortable running meetings end-to-end with stakeholders ranging from developers to C-suite executives
Trusted technical advisor capable of aligning AI initiatives with business value, ROI, and long-term platform strategy
Ability to differentiate solutions competitively through architecture, performance, security, and lifecycle value
Experience creating and delivering technical presentations, demonstrations, proofs of concept (POC), reference architectures, whitepapers, blogs, and conference talks
Bachelor’s degree in Computer Science, Engineering, or a related field