About this opportunity
Spectraforce Technologies lists this Senior Product Manager - Edge & Agentic AI opportunity in san diego, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Role: Senior Product Manager - Edge & Agentic AI
Location: San Diego, CA
Duration: 3 months
Job Summary
Client is seeking a Senior Product Manager - Edge & Agentic AI to define, develop, and bring to market end-to-end AI solutions that operate across edge devices, compute platforms, software, and cloud services. This is a highly technical Product Management role requiring hands-on understanding of AI/ML, edge computing, agentic AI, hardware/software integration, and production deployment. The ideal candidate will be able to translate customer requirements and use cases into solution architectures, technical requirements, reference implementations, and deployment strategies, while working closely with engineering teams, customers, and technology partners.
Top 5 Required Skills
1. End-to-End Edge AI Solution Architecture Experience designing end-to-end solutions across:Edge devices
Compute platforms
Operating systems
AI runtimes
Applications
Cloud services
Connectivity
Security
Device management
Ability to understand how these components work together in a production environment.
2. AI Models & Inference Optimization Strong understanding of:Foundation models
LLMs
Vision models
Multimodal models
Model selection
Fine-tuning
Quantization
Model compression
Hardware acceleration
Ability to evaluate trade‑offs involving:Accuracy
Latency
Power
Cost
3. Agentic AI Systems Hands‑on knowledge of:AI agents
Tool use
Agent orchestration
Retrieval‑Augmented Generation (RAG)
Context and memory management
Workflow automation
Guardrails
AI evaluation
Observability
Human‑in‑the‑loop systems
4. Solution Development & Production Deployment Experience building prototypes and production‑grade AI solutions using:Python or C/C++
AI/ML frameworks
APIs
Containers
CI/CD
Cloud‑edge integration
Telemetry
Testing
Lifecycle management
5. Edge Platform & Hardware/Software Integration Experience working with:CPUs
GPUs
NPUs
AI accelerators
SDKs
Drivers
AI frameworks
Sensors
Applications
Ability to profile and optimize:Performance
Power
Thermal constraints
Reliability
Scalability
Education & Experience
Bachelor's degree in Engineering, Information Systems, Computer Science, or a related technical field .
4+ years of Product Management or related work experience.
Advanced degrees in a relevant field may substitute for up to two years of required experience:Master's degree = 1 year
Doctorate = 2 years
Principal Duties & Responsibilities
Define and develop end-to-end AI solutions spanning edge devices, compute platforms, software, and cloud services.
Translate customer requirements and priority use cases into:Solution architectures
Technical requirements
Reference implementations
Deployment plans
Work closely with engineering teams, customers, and technology partners.
Integrate:AI models
Agentic AI capabilities
Hardware acceleration
Applications
Security
Connectivity
Lifecycle‑management tools
Evaluate emerging AI models and edge technologies.
Validate performance and deployment trade‑offs involving accuracy, latency, power, cost, reliability, and scalability.
Drive solutions beyond demonstrations and proofs of concept into repeatable, deployable offerings.
Ensure solutions deliver measurable customer value.
Conduct complex marketability analyses based on market, customer, technology, and ecosystem requirements.
Develop business cases for new products and product features, considering time‑to‑market, cost, and market share.
Prepare and deliver complex technical presentations to customers for new and existing products.
Define solution requirements for complex products and services with minimal supervision.
Complete product development and definition activities for assigned products, including cost and impact analysis.
Maintain expertise on competitors, technology advancements, and the broader product ecosystem.
Lead product innovation and design efforts within an established product area.
Identify market and technology trends and articulate product differentiation to customers.
Communicate product plans across internal and cross‑functional teams.
Ensure agreed‑upon KPIs and product specifications are achieved upon engineering delivery.
Collaborate with stakeholders and program sponsors to establish product goals around:Performance
Cost
Timeline
Customer schedules
Facilitate cross‑functional decision‑making and assess product feasibility.
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Worksite address
san diego, CA, 92189, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.