My job alerts

Engineering Product Manager - AI & Data

AiFi

This job is no longer accepting applications

See open jobs at AiFi.See open jobs similar to "Engineering Product Manager - AI & Data" Cervin Ventures.

Software Engineering, Product, Data Science

Montreal, QC, Canada

Posted on Tuesday, February 6, 2024

About AiFI

AiFi, a globally leading AI provider, empowers retailers worldwide to scale autonomous shopping solutions with 100% computer vision. Powered by the most cost-effective and flexible method of deploying cashier-less technology solutions, AiFi’s camera-only platform enables businesses to provide a frictionless checkout experience to their customers. AiFi’s technology works through cameras and computer vision to allow quick and efficient shopping for various store formats across multiple global retail segments.

AiFi’s solutions adapt to numerous verticals, including convenience stores, sports and entertainment venues, universities, workplaces, and travel retail. AiFi customers include: LA Clippers, Golden State Warriors, NASCAR, Florida Panthers, Aldi, Compass Group, Zabka, and many more. AiFi now has the highest number of store deployments globally with over 100 active stores. The company has raised a total of $80 million from investors including Qualcomm Ventures, Verizon, HP, Mithril, Duke Angel Network, Cervin Ventures, TransLink Capital, and Plum Alley.

Responsibilities

Agile Leadership and Framework Implementation:
Champion Agile methodologies within teams, ensuring Agile principles are integrated into all phases of the product development lifecycle
Lead and facilitate Agile ceremonies such as sprint planning, daily stand-ups, sprint reviews, and retrospectives
End-to-End Product Ownership:
Assume full responsibility for the product's lifecycle, from initial concept through development, launch, and continuous enhancement
Monitor product performance against key metrics, using data to guide iterative improvements
Data-Driven Decision Making and Roadmap Development:
Lead hypothesis generation, testing, and validation through rigorous data analysis and statistical methods
Translate complex data insights into understandable, actionable strategies for product development
Prioritize the product backlog and roadmap, balancing short-term achievements with long-term vision
Cross-Functional Collaboration and Communication:
Act as the primary interface between data scientists, ML engineers, Data engineers, and other technical stakeholders, fostering collaborative product ideation and execution
Effectively communicate product vision and progress to all levels of the organization, from technical teams to leadership

Requirements

Bachelor’s, Master’s, and/or work experience in Computer Science, Data Science, Engineering, or related technical field
Demonstrated experience in technical product management, with a strong focus on Agile methodologies and product ownership
Solid understanding of data analysis, machine learning concepts, and statistical methods, applicable in a product context
Proficiency in data querying and analysis tools (SQL, Python, R, etc.)
Strong leadership skills, with experience guiding teams through Agile frameworks
Excellent communication and project management abilities Exceptional organizational and time-management skills for managing multiple projects.
Familiarity with project management tools and methodologies such as JIRA
Continuous learning mindset, staying updated with the latest AI advancements

Additional Qualifications

Experience in a fast-paced, product-driven technology environment
Knowledge of Databricks, Azure, and/or Jira
Background in a role requiring hands-on data analysis and hypothesis testing
Experience with handling under-defined problems requiring flexibility and adaptability

AiFi enables reliable, cost-effective, and entirely frictionless shopping with AI-powered computer vision technology to provide an unrivaled experience for retailers and customers around the globe. AiFi has partnerships with leading retailers worldwide such as Aldi, Sodexo, Carrefour, Zabka, Morrisons, and Compass Group to create customized autonomous shopping experiences with flexible integration and entry options.