Owns product strategy and execution across the product lifecycle, including requirements gathering, vision, pricing, positioning, prioritization, prototyping, engineering delivery, launches, partnerships, and customer feedback. The role requires AI project experience, public sector experience, project integration skills, strong documentation, and the ability to manage competing priorities and external relationships.
Responsibilities:
Responsible for the product planning and execution
throughout the product lifecycle, including:
- Gathering and prioritizing product and customer requirements
- Defining the product vision
- Ensuring that the product supports the company’s overall
strategy and goals
- Gain a deep understanding of customer experience:
- Identify and fill product gaps
- Generate new ideas that grow market share
- Improve customer experience
- Drive growth
- Create buy-in for the product vision both internally and
with key external partners
- Develop product pricing and positioning strategies
- Translate product strategy into detailed requirements and
prototypes
- Scope and prioritize activities based on business and
customer impact
- Work closely with engineering teams to deliver with quick
time-to-market and optimal resources
- Drive product launches including working with public
relations team, executives, and other product management team members
- Evaluate promotional plans to ensure that they are
consistent with product line strategy and that the message is effectively
conveyed
- Act as a product evangelist to build awareness and
understanding
- Represent the company by visiting customers to solicit
feedback on company products and services
General Skills:
- Experience delivering MRDs and PRDs with prioritized
features and corresponding justification
- Experience working with external third parties to assess
partnerships and licensing opportunities
- Experience running beta and pilot programs with early-stage
products and samples becoming an expert with respect to the competition
- A team player with a track record for meeting deadlines,
managing competing priorities and client relationship management experience
Requirements
Experience and Skill Set Requirements:
Must Haves:
- Working on projects involving AI
- Public sector experience
Skill Set Requirements:
- Project Management
- Technical, Deployment and Project Integration Skills
- Documentation Skills
- Public Sector Experience
Similar Jobs
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Supports talent management, organizational development, strategic HR planning, employee engagement, HR analytics, and special HR projects. The intern will analyze HR data, assist with performance and succession planning, contribute to change management and culture initiatives, support employer branding and HR technology projects, and collaborate with HR and cross-functional teams.
Top Skills:
Ai ToolsMS OfficePowerPoint
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Develop and evaluate signal processing and machine learning algorithms for next-generation radio systems. Build simulations, prototypes, and proof-of-concept solutions; analyze data; perform software and hardware verification; automate testing; and support troubleshooting and performance analysis. The role involves collaboration with system, hardware, and software engineers and exposure to computer vision, AI, wireless communications, and advanced radio technologies.
Top Skills:
5G6GCC++Computer VisionDspFpgaKerasLinuxMachine LearningMatlabPythonPyTorchScikit-LearnSignal ProcessingTensorFlowWireless Communications
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve reliability, performance, observability, fault tolerance, and security, and participate in on-call and incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews and documentation.
Top Skills:
AWSGoKafkaKotlinTypescript
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.



.png)