Technical Product Manager

4 weeks ago

Richmond Hill, Canada Embross Full time

Embross is seeking a Technical Product Manager to drive its Computer Vision and Machine Learning portfolio.

One of our most dynamic and evolving products, Embross actively utilises Computer Vision across a range of its technology solutions to deliver next generation service capabilities to the world's leading airports and airlines. These include biometrics, object detection, 3D dimensioning and more.

As the Technical Product Manager, you will be the day-to-day owner of the program, meeting with stakeholders to define the strategy, build requirements for its various branches, and drive their delivery in collaboration with our software and hardware teams.

This role is ideally suited to a hands-on technical product manager with a background in software engineering (preferably python and/or C++) that is looking to flex their versatility on both the business and delivery sides of the equation. Utilising that experience, you will have an active understanding and influence on solutioning including architecture and solution approach and at times help build out proof-of-concepts.

As a dynamic team that prides itself on flexibility and agility you will be the type that thrives in a fast-paced environment with a lean, startup mentality. Embross prides itself on its ability to iterate quickly but without compromising the robustness and longevity of our production solutions. So if you have a passion for CV and ML, both professionally and personally, this is a great setting to convert that into tangible real-world solutions in some of the busiest service environments in the world.

**Your Responsibilities**
- Work with Product Stakeholders to define roadmap and execution strategy
- Work closely with cross-functional teams and engineers, effectively documenting and communicating requirements into actionable workflows eg Jira tickets
- Driving accountability and ownership in solution outcomes and product performance
- Stay active and engaged in technological developments in the field
- Provide pre-sales support as a SME for the portfolio and help solution for customer projects
- Define and solution POC sprints to validate solution viability
- Measure and report successes/improvements of features after release, to internal stakeholders

Facilitate MVP progress with your own technical capabilities where necessary

**Requirements**:
Degree in Software Engineering preferred or related computer science fields
- 5+ years experience in Computer Vision and ML solutions as a product manager and/or Engineering lead
- Experience building and launching user-facing computer vision products including 2D and 3D image processing and acquisition systems.
- Experience building solutions with ML algorithms and their associated SDKs/APIs
- Detailed understanding of ML frameworks, building ML pipelines,
- Good understanding of system architectures, frameworks and design patterns.
- Experience in cloud native architecture including containerization (Docker etc) and CICD pipeline.
- Experience working with some or all of: OpenCV, ROS, Nvidia Deepstream and platforms, RESTAPI, TensorRT, Openvino, Edge or IOT focused ML frameworks
- Experience working in agile software development, PSPO/CSPO is a plus.
- Effective communicator (written and verbal)
- Ability to work independently but also drive outcomes in collaboration with other teams
- Solution-oriented with a focus on finding creative yet simple solutions

**Job Types**: Full-time, Permanent

**Salary**: $80,000.00-$100,000.00 per year

**Benefits**:

- Casual dress
- Dental care
- Employee assistance program
- Extended health care
- Flexible schedule
- Life insurance
- On-site parking
- Paid time off
- Vision care
- Wellness program
- Work from home

Flexible Language Requirement:

- French not required

Schedule:

- Monday to Friday

Supplemental pay types:

- Bonus pay

COVID-19 considerations:
We are adhereing to provincial and legislative requirements for the health and safety of all our employees. We have an automated self screening, proper PPE and work at a safe distance in the office. Only those required to be in the office are.

**Experience**:

- Product Launching: 5 years (preferred)
- Product Management: 5 years (required)
- Computer Vision: 5 years (required)
- Machine Learning: 5 years (required)

Work Location: In person

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