AI Product Manager

Job not on LinkedIn

🕒 July 8

🇨🇦 Canada – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

✅ Product Manager

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Workiy Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2008

💼 Consulting

📣 Marketing

🛍️ eCommerce

Consulting • Marketing • eCommerce

Workiy Inc. is a global digital solutions company specializing in comprehensive services for web and mobile application development, digital marketing, and cloud transformation. With a focus on tailored technology solutions, Workiy aims to empower businesses by enhancing their digital presence through innovative strategies including custom software development, UX/UI design, and enterprise application management. The company operates with a client-centric approach, showcasing extensive expertise in various technologies such as Drupal, Shopify, and Salesforce, promoting efficient business operations and enhanced user experiences.

📋 Description

• Lead the strategy, development, and delivery of AI-powered products and solutions. • Work closely with business stakeholders, engineering teams, and customers to define product vision. • Prioritize features and deliver scalable AI solutions that drive business value.

🎯 Requirements

• 5+ years of experience in Product Management, Technical Product Management, or AI Product Management. • Strong experience with Generative AI (GenAI) and Large Language Models (LLMs). • Hands-on knowledge of Agentic AI frameworks such as LangChain, LangGraph, or CrewAI. • Proficiency in Python. • Experience with AWS AI services, including Amazon Bedrock, SageMaker, Lambda, and API Gateway. • Strong understanding of Prompt Engineering and prompt management. • Experience with Vector Databases (e.g., FAISS, PGVector, ChromaDB) and Retrieval-Augmented Generation (RAG). • Knowledge of SQL, NoSQL, MongoDB, and DynamoDB. • Experience with Agile/Scrum, including backlog management, sprint planning, and writing user stories. • Strong stakeholder management and cross-functional collaboration skills. • Understanding of AI governance, model risk management, AI guardrails, and responsible AI practices. • Excellent communication, analytical, and problem-solving skills.

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities