AI Product Manager

Johnson Service Group

Chicago, IL

JOB DETAILS
SKILLS
Acceptance Testing, Access Control, Artificial Intelligence (AI), Automation, Business Skills, Cloud Computing, Communication Skills, Computer Security, Computer Services, Cost Modeling, Customer Conversion, Customer/Client Research, Data Sets, Delivery Management, Information Retrieval, Injections, Instrumentation, Leadership, Metadata, Metrics, Product Management, Product Testing, Productivity Management, Quality Management, Query Analysis, Requirements Management, Sales Closing Skills, Shallow Parsing, Use Cases, Validation Testing, Vehicle Driving
LOCATION
Chicago, IL
POSTED
30+ days ago

Our client is seeking an AI Product Manager to lead end-to-end execution of enterprise GenAI and RAG-based product capabilities, improving knowledge ingestion, retrieval quality, grounded answer generation, enterprise chat experiences, guardrails, observability, and agentic automation rollout. (Remote, US)

Must Have skills
  • Experience building and shipping enterprise-grade GenAI products, particularly RAG-based assistants or enterprise knowledge assistants.
  • Strong understanding of the end-to-end RAG lifecycle, including data ingestion, document parsing, chunking, metadata enrichment, embeddings, indexing, retrieval, grounding, citations, and response synthesis.
  • Ability to partner with engineering teams on retrieval tuning, hybrid search, re-ranking, query understanding, prompt structure, grounding, hallucination control, and answer-quality tradeoffs.
  • Experience defining requirements, acceptance criteria, release scope, quality bars, and product validation processes for technically complex products.
  • Strong execution and delivery management skills, with the ability to drive a defined roadmap across multiple technical teams and dependencies.
  • Experience owning product testing and business validation before release, including scenario coverage, regression checks, readiness signoff, and definition of done.
  • Understanding of guardrails and responsible AI for enterprise assistants, including content safety, PII handling, topic boundaries, confidence signaling, access control, and audit trails.
  • Understanding of observability and monitoring for LLM products, including trace-level visibility, query lifecycle analysis, latency, token usage, drift, alerting, rollback, and user feedback instrumentation.
  • Excellent stakeholder management skills across business users, end-user teams, engineering, platform, security, and leadership.
  • Strong communication skills, including the ability to explain AI quality, trust, retrieval issues, and guardrails in business-friendly language.

Nice to Have skills
  • Familiarity with cloud-based GenAI architecture, including managed LLM services, vector/search indexes, object storage, workflow orchestration, serverless compute, containerized services, and enterprise integration patterns.
  • Working knowledge of LLM capabilities and limitations, model tradeoffs, prompt architecture, and prompt vulnerabilities such as injection and jailbreak risks.
  • Exposure to agentic AI concepts, including tool use, function calling, multi-step reasoning, planning, human-in-the-loop approvals, and safe autonomous execution.
  • Experience running UAT, gathering nuanced user feedback, and converting findings into measurable product improvements.
  • Experience supporting rollout of agentic automation use cases for lower-complexity workflows with appropriate safety controls, approval flows, and auditability.

Responsibilities
  • Own end-to-end product execution across knowledge ingestion, retrieval quality, grounded answer generation, enterprise chat experience, guardrails, observability, and agentic use case rollout.
  • Work closely with end users to understand pain points, validate use cases, and ensure the product improves productivity and trust.
  • Partner with engineering teams to clarify requirements, resolve functional gaps, and drive delivery against defined milestones.
  • Own product testing and business validation before each release, including scenario coverage, acceptance criteria validation, regression checks, and readiness signoff.
  • Partner with technical teams to improve RAG pipeline quality, including ingestion readiness, chunking and indexing implications, retrieval tuning, grounding, citation behavior, and answer quality.
  • Define and own the evaluation framework, including metrics for retrieval relevance, answer correctness, faithfulness, hallucination rate, citation accuracy, fallback handling, and latency.
  • Ensure each test run is measured against established baselines and quality expectations.
  • Maintain product-level feedback loops using golden datasets, user feedback, UAT findings, and post-release learning.
  • Drive observability requirements to monitor end-to-end query behavior, retrieval outcomes, response quality, latency, errors, drift, and user feedback signals.
  • Participate in product decisions related to cloud-based GenAI architecture, including ingestion pipeline optimization and model usage / cost-quality balance.
  • Support rollout of agentic automation use cases while ensuring safety controls, approval flows, and auditability are in place.

Other information
  • Role focus includes enterprise GenAI, RAG-based assistants, enterprise knowledge assistants, LLM product quality, responsible AI, observability, and agentic automation.
  • Key product areas include knowledge ingestion, retrieval, grounded generation, citations, guardrails, enterprise chat, evaluation frameworks, UAT, release readiness, and post-release improvement.
  • The role requires close collaboration with business users, end-user teams, engineering, platform, security, and leadership stakeholders.

About the Company

J

Johnson Service Group

At JSG, We Understand People

It is our mission to empower people, help our clients reach their goals, and hire motivated individuals.

Since our start in 1984, we’ve worked hard to establish our present position as the most effective cross-industry staffing and consulting solution available.

Headquartered in Chicago, IL with local offices throughout the United States and Canada, JSG proudly serves a diverse range of industries with the right solutions to help clients reach their company goals. Our client-centric approach enables us to create personalized solutions for businesses in need of top-tier talent.  Our dedication doesn’t stop at our clients. We strive to connect candidates with opportunities that match their skills and goals. More than just a go-between, we are a dependable bridge, uniting top talent with suitable opportunities, facilitating shared opportunities and growth.

COMPANY SIZE
1,000 to 1,499 employees
INDUSTRY
Staffing/Employment Agencies
FOUNDED
1984
WEBSITE
https://www.jsginc.com/