Manage the partner relationship in all aspects including both technical and business requirements.
Act as the primary technical expert and become the partner’s trusted advisor and the Wind River solutions expert.
Design and architect sophisticated, scalable solutions to solve critical business challenges and drive value for our clients and Wind River.
Understand clearly the use cases that are applicable to each target customer.
Listen and be sensitive to our partner’s needs in terms of the joint solution.
Balance their needs vs the value it’s bringing to the joint solution to our customer and Wind River.
Exhibit leadership skills during customer requirements analysis and creating technical solutions as well as identifying potential business opportunities.
Define, negotiate and execute partner agreements such as NDA’s, Contracts, Pricing, Customer agreements, etc.
Provide consistent market feedback to Wind River.
Remove technical barriers for Wind River solutions.

Requirements

10-12+ years of software development or solutions architecting experience in 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.
Able to work independently in partner and end customer locations/labs.
US Citizen.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

embedded softwarecloud technologiesenterprise Linuxembedded LinuxRTOSDockerKubernetesPyTorchTensorFlowEdge AI

Soft Skills

leadershipcommunicationbusiness acumencustomer engagementnegotiationtechnical advisorystakeholder managementproblem-solvinganalytical thinkingpresentation skills