AI Product Manager

AI Product Manager

3+ Months

Onsite in San Diego CA 92121

Rate: $780.77/day on W2 Incl.

Top 5 Skills:

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.

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.

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.

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.

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.

Principal Duties and Responsibilities:

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.

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.