Senior Product Manager (Edge and Agentic AI)

Manpower San Diego; San Diego (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Manpower San Diego is seeking a Solutions Product Manager for Edge and Agentic AI to define, develop, and bring to market end-to-end AI solutions across edge devices, compute platforms, software, and cloud services.

You will translate customer requirements into solution architectures, reference implementations, and deployment plans, and collaborate with engineering teams, customers, and partners to integrate AI models, hardware acceleration, security, and lifecycle-management tools for scalable

Qualifications

• Bachelor's degree in Engineering, Information Systems, CS, or related field.
• At least 4 years in Product Management or related experience.
• Strong technical depth in AI and edge deployment.

Responsibilities

• Define, develop, and bring to market end-to-end AI solutions for edge, compute, software, and cloud.
• Translate customer requirements into solution architectures, requirements, and deployment plans.
• Collaborate with engineering, customers, and partners to integrate AI models, hardware accelerators, and security.
• Evaluate models and edge tech, balancing accuracy, latency, power, cost, and reliability.
• Move solutions from proofs of concept to repeatable, deployable offerings delivering customer value.
• Lead cross-functional alignment on KPIs and product goals.

Skills

Edge AI Architecture

AI model optimization

Agentic AI systems

DevOps & production deployment

Edge hardware integration

Education

Bachelor's degree in Engineering/CS

Tools

Python

C/C++

AI frameworks

APIs

Containers/CI-CD

Job description

The Solutions Product Manager for Edge and Agentic AI will define, develop, and bring to market end-to-end AI solutions that operate across edge devices, compute platforms, software, and cloud services. The role requires strong technical depth and practical experience building, integrating, and deploying production-grade AI solutions.

This individual will translate customer requirements and priority use cases into solution architectures, technical requirements, reference implementations, and deployment plans. They will work closely with engineering teams, customers, and technology partners to integrate AI models, agentic capabilities, hardware acceleration, applications, security, connectivity, and lifecycle-management tools.

The role will also evaluate emerging AI models and edge technologies, validate performance and deployment trade-offs, and guide solution decisions involving accuracy, latency, power, cost, reliability, and scalability. Success requires moving solutions beyond demonstrations and proofs of concept into repeatable, deployable offerings that deliver measurable customer value.

Conducts complex analyses to assess marketability of products based on market, customer, technology, and other ecosystem demands.

Criates a business case for the development of a new product or product features in an established product area (i.e., time to market, cost, market share).

Prepares and delivers highly complex technical presentations for new and existing products that explain and demonstrate products managed to customers.

Defined solution requirements complex products and services with minimal supervision and communicates with individuals across functional teams.

Completes product development and definition activities for a moderately complex, owned product, including determination of cost and impact.

Maintains expertise by staying up to date on competitors, technological advances, and the product ecosystem and takes the lead on development and design innovation of products in an established area to articulate differentiation of products to customers and identify trends.

Communicates regularly within own team and cross-functional team(s) to ensure team-level understanding of product plans for a product line.

Ensures successful cross-functional collaboration by ensuring that agreed upon KPIs and specifications are met for product(s), upon delivery by engineering team.

Collaborates with key stakeholders and program sponsors to develop product goals (e.g., performance, cost, timeline, customer schedules), discuss product feasibility, and facilitate cross-functional decision making for products they own.

• Conducts complex analyses to assess marketability of products based on market, customer, technology, and other ecosystem demands.
• Creates a business case for the development of a new product or product features in an established product area (i.e., time to market, cost, market share).
• Prepares and delivers highly complex technical presentations for new and existing products that explain and demonstrate products managed to customers.
• Defined solution requirements complex products and services with minimal supervision and communicates with individuals across functional teams.
• Completes product development and definition activities for a moderately complex, owned product, including determination of cost and impact.
• Maintains expertise by staying up to date on competitors, technological advances, and the product ecosystem and takes the lead on development and design innovation of products in an established area to articulate differentiation of products to customers and identify trends.
• Communicates regularly within own team and cross-functional team(s) to ensure team-level understanding of product plans for a product line.
• Ensures successful cross-functional collaboration by ensuring that agreed upon KPIs and specifications are met for product(s), upon delivery by engineering team.
• Collaborates with key stakeholders and program sponsors to develop product goals (e.g., performance, cost, timeline, customer schedules), discuss product feasibility, and facilitate cross-functional decision making for products they own.

Level of Responsibility:

• Working independently with little supervision.
• Making decisions that are moderate in impact; errors may have financial impact or effect on projects, operations, or customer relationships; errors may require involvement beyond immediate work group to correct.
• Using verbal and written communication skills to convey complex and/or detailed information to multiple individuals/audiences with differing knowledge levels. May require strong negotiation and influence, communication to large groups or high-level constituents.
• Completing tasks that do not have defined steps; simultaneous use of multiple mental abilities is generally required to determine the best approach; mistakes may result in significant rework.
• Exercising substantial creativity to innovate new processes, procedures, or work products within guidelines or to achieve established objectives.
• Using deductive and inductive problem solving; multiple approaches may be taken/necessary to solve the problem; often information is missing or conflicting; advanced data analysis and interpretation skills are required.
• Occasionally participates in strategic planning within own area affecting immediate operations.

The responsibilities of this role do not include:

• Financial accountability (e.g., does not involve budgeting responsibility).

Top 5 Skills:

1. End-to-End Edge AI Solution Architecture

Practical experience designing solutions across edge devices, compute platforms, operating systems, AI runtimes, applications, cloud services, connectivity, security, and device management.

2. AI Models and Inference Optimization

Strong understanding of foundation models, LLMs, vision and multimodal models, model selection, fine-tuning, quantization, compression, hardware acceleration, and accuracy-latency-power-cost trade-offs.

3. Agentic AI Systems

Hands‑on knowledge of agents, tool use, orchestration, retrieval‑augmented generation, context and memory management, workflow automation, guardrails, evaluation, observability, and human‑in‑the‑loop design.

4. Solution Development and Production Deployment

Demonstrated experience building prototypes and production solutions using Python or C/C++, AI frameworks, APIs, containers, CI/CD, cloud‑edge integration, telemetry, testing, and lifecycle management.

5. Edge Platform and Hardware-Software Integration

Ability to evaluate and integrate CPUs, GPUs, NPUs and accelerators with SDKs, drivers, frameworks, sensors, and applications, including profiling and optimizing performance, power, thermal limits, reliability, and scalability.

Required Education & Required Years of Experience:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.
• 4+ years of Product Management or related work experience.