Principal Product Manager - Knowledge Bases & Ask AI

Principal Product Manager

HybridStaffPDFs, Wordai

Bonus Points For ● Experience building an AI copilot, enterprise assistant, workplace assistant, CRM assistant, browser agent, or natural-language interface for a complex software platform. ● Experience building enterprise-search or knowledge-management products. ● Experience with retrieval architectures involving dense and sparse search, embeddings, hybrid retrieval, re-ranking, query decomposition, metadata filtering, citations, and evaluation. ● Experience building ingestion pipelines for web

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Skills in this role

Product management
AI fundamentals
SQL
RAG
Cloud
LLM evaluation
Roadmapping

What the employer asks for

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Principal Product Manager - Knowledge Bases & Ask AI

Courses relevant to this posting

Relevance is based on skills and concepts — not a guarantee that you qualify.

Sparse Model Architectures for Production AI Systems
Covered skills:Product managementAI fundamentalsSQLRAGCloudLLM evaluationRoadmapping
Skills to close:None listed

Build the skills for this job

Coming-soon courses matched to this posting — outline, waitlist, and skill path.

Course DNA for this role

Sparse Model Architectures for Production AI Systems

7 chapters · 31 lessons

1. Sparse Activation Fundamentals
4 lessons
Understand the core principles of conditional compute and how sparse models separate capacity from active parameters.
2. Router Design and Implementation
5 lessons
Build routing mechanisms that select relevant experts based on input characteristics and learned patterns.
3. Load Balancing and Training Dynamics
4 lessons
Prevent expert collapse and ensure even utilization across all expert subnetworks during training.
4. Serving Infrastructure for Sparse Models
5 lessons
Design systems that efficiently handle dynamic expert placement, memory management, and request batching.
5. Cost and Performance Modeling
4 lessons
Quantify the economic and performance tradeoffs between sparse and dense architectures for specific workloads.
6. Tiered Model Strategies
4 lessons
Architect multi-model systems that route requests to appropriately sized models based on task complexity.
7. Domain-Specific Sparse Architectures
5 lessons
Apply sparse activation patterns to specialized workloads like code generation, multilingual systems, and agentic workflows.

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Skills in this role

What the employer asks for

Courses relevant to this posting

Build the skills for this job

Sparse Model Architectures for Production AI Systems

1. Sparse Activation Fundamentals

2. Router Design and Implementation

3. Load Balancing and Training Dynamics

4. Serving Infrastructure for Sparse Models

5. Cost and Performance Modeling

6. Tiered Model Strategies

7. Domain-Specific Sparse Architectures

Similar jobs

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